From 63aac74b58b7989e525174c3c5a0b167b3b2c78c Mon Sep 17 00:00:00 2001 From: Yiqing Yan Date: Thu, 15 Jan 2026 15:01:44 +0800 Subject: [PATCH 001/241] [None][chore] Bump version to 1.2.0 (#10686) Signed-off-by: Yiqing Yan --- README.md | 2 +- examples/constraints.txt | 2 +- tensorrt_llm/version.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 9e78da9a476d..fbd1485ba39c 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.< [![python](https://img.shields.io/badge/python-3.10-green)](https://www.python.org/downloads/release/python-31012/) [![cuda](https://img.shields.io/badge/cuda-13.0.0-green)](https://developer.nvidia.com/cuda-downloads) [![torch](https://img.shields.io/badge/torch-2.9.0-green)](https://pytorch.org) -[![version](https://img.shields.io/badge/release-1.2.0rc8-green)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/tensorrt_llm/version.py) +[![version](https://img.shields.io/badge/release-1.2.0-green)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/tensorrt_llm/version.py) [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/LICENSE) [Architecture](https://nvidia.github.io/TensorRT-LLM/developer-guide/overview.html)   |   [Performance](https://nvidia.github.io/TensorRT-LLM/developer-guide/perf-overview.html)   |   [Examples](https://nvidia.github.io/TensorRT-LLM/quick-start-guide.html)   |   [Documentation](https://nvidia.github.io/TensorRT-LLM/)   |   [Roadmap](https://github.com/NVIDIA/TensorRT-LLM/issues?q=is%3Aissue%20state%3Aopen%20label%3Aroadmap) diff --git a/examples/constraints.txt b/examples/constraints.txt index 02571fa1b68c..6bb62a88f99a 100644 --- a/examples/constraints.txt +++ b/examples/constraints.txt @@ -1,3 +1,3 @@ -tensorrt_llm==1.2.0rc8 +tensorrt_llm==1.2.0 evaluate~=0.4.1 rouge_score~=0.1.2 diff --git a/tensorrt_llm/version.py b/tensorrt_llm/version.py index 434ba8f8e28b..e93734230cfe 100644 --- a/tensorrt_llm/version.py +++ b/tensorrt_llm/version.py @@ -12,4 +12,4 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "1.2.0rc8" +__version__ = "1.2.0" From bc5094c16a4a7093df1e90bbb21f5107ccfd24b5 Mon Sep 17 00:00:00 2001 From: Yiqing Yan Date: Thu, 15 Jan 2026 15:37:13 +0800 Subject: [PATCH 002/241] [None][chore] Setup the code review rule on release/1.2 branch (#10694) Signed-off-by: Yiqing Yan --- .github/CODEOWNERS | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 91062b138af6..4b2a62267d65 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -233,4 +233,4 @@ docs/source/performance/perf-benchmarking.md @NVIDIA/trtllm-bench-reviewers # The rule below requires that any PR to release/**/* branches must be approved by at least one member # of the NVIDIA/trt-llm-release-branch-approval team, regardless of who else approves the PR. # Without approval from a member of this team, PRs cannot be merged to release branches. -# * @NVIDIA/trt-llm-release-branch-approval +* @NVIDIA/trt-llm-release-branch-approval From fe65847a5acf95df338f586f248df9f264e299d7 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Fri, 16 Jan 2026 14:37:49 +0800 Subject: [PATCH 003/241] [None][infra] Waive failed cases for release branch on 01/16 (#10748) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index e495a02cffba..2b9205af2bd4 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -386,3 +386,10 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mt accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) accuracy/test_llm_api_pytorch.py::TestNemotronV3Super::test_auto_dtype_4gpus[4-4-True-False-True] SKIP (https://nvbugs/5810980) +stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] SKIP (https://nvbugs/5814203) +examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://nvbugs/5781731) +unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-6] SKIP (https://nvbugs/5814247) +unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-8] SKIP (https://nvbugs/5814247) +unittest/_torch/auto_deploy/unit/multigpu/test_ad_allreduce_strategies.py::test_allreduce_strategies[AUTO] SKIP (https://nvbugs/5814247) +accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) +accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKIP (https://nvbugs/5651865) From 22b5f0c7063353a7e1c7ae21aec6034a8e3e0a49 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Fri, 16 Jan 2026 15:51:06 +0800 Subject: [PATCH 004/241] [None][fix] Disable short profile for tunable ops with MERGE strategy. (#10715) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- tensorrt_llm/_torch/autotuner.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/_torch/autotuner.py b/tensorrt_llm/_torch/autotuner.py index c78b1a0319a4..f68d9c7f6ccc 100644 --- a/tensorrt_llm/_torch/autotuner.py +++ b/tensorrt_llm/_torch/autotuner.py @@ -1105,7 +1105,10 @@ def pure_profile(stream: torch.cuda.Stream, repeat: int): disable_short_profile = os.environ.get( "TLLM_AUTOTUNER_DISABLE_SHORT_PROFILE", "0") == "1" - if fewer_repeat_avg_time > short_profile_threshold_ms and not disable_short_profile: + + # Disable this feature for merged tuning strategy to avoid potential hang due to asymmetric tuning. + if fewer_repeat_avg_time > short_profile_threshold_ms and not disable_short_profile \ + and tuning_config.distributed_tuning_strategy != DistributedTuningStrategy.MERGE: # directly use the few repeat estimated time to avoid redundant profiling avg_time = fewer_repeat_avg_time else: From 06f7970ac037d6d341b3cd1d7d07629e01b4a301 Mon Sep 17 00:00:00 2001 From: Enwei Zhu <21126786+syuoni@users.noreply.github.com> Date: Fri, 16 Jan 2026 20:01:06 +0800 Subject: [PATCH 005/241] [https://nvbugs/5800521][ci] Move test_openai_chat_guided_decoding to H100 stage (to avoid potential OOM) (pick #10703) (#10743) Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com> --- tests/integration/test_lists/test-db/l0_a10.yml | 1 - tests/integration/test_lists/test-db/l0_h100.yml | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/integration/test_lists/test-db/l0_a10.yml b/tests/integration/test_lists/test-db/l0_a10.yml index 31722b3b4873..df380e1b0482 100644 --- a/tests/integration/test_lists/test-db/l0_a10.yml +++ b/tests/integration/test_lists/test-db/l0_a10.yml @@ -53,7 +53,6 @@ l0_a10: - disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_simple_llama[False-True-TinyLlama-1.1B-Chat-v1.0] - disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_simple_llama[True-False-TinyLlama-1.1B-Chat-v1.0] - disaggregated/test_disaggregated_single_gpu.py::test_disaggregated_simple_llama[True-True-TinyLlama-1.1B-Chat-v1.0] - - test_e2e.py::test_openai_chat_guided_decoding - test_e2e.py::test_get_ci_container_port - test_e2e.py::test_openai_chat_multimodal_example ISOLATION - test_e2e.py::test_openai_mmencoder_example diff --git a/tests/integration/test_lists/test-db/l0_h100.yml b/tests/integration/test_lists/test-db/l0_h100.yml index 0e9fc8b8d66f..ee36c87a0d1d 100644 --- a/tests/integration/test_lists/test-db/l0_h100.yml +++ b/tests/integration/test_lists/test-db/l0_h100.yml @@ -110,6 +110,7 @@ l0_h100: - test_e2e.py::test_trtllm_bench_help_sanity[meta-llama/Llama-3.1-8B] - test_e2e.py::test_openai_chat_harmony - test_e2e.py::test_openai_responses + - test_e2e.py::test_openai_chat_guided_decoding - test_e2e.py::test_trtllm_benchmark_serving[llama-3.1-model/Meta-Llama-3.1-8B] - condition: ranges: From 3f984090974a4407d2ad964018017c38f4eef466 Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Fri, 16 Jan 2026 07:57:04 -0500 Subject: [PATCH 006/241] [None][doc] 1.2 Release Notes Headers (#10722) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- docs/source/release-notes.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/docs/source/release-notes.md b/docs/source/release-notes.md index 76a4988f0809..25a380a83027 100644 --- a/docs/source/release-notes.md +++ b/docs/source/release-notes.md @@ -4,6 +4,18 @@ All published functionality in the Release Notes has been fully tested and verified with known limitations documented. To share feedback about this release, access our [NVIDIA Developer Forum](https://forums.developer.nvidia.com/). +## TensorRT-LLM Release 1.2 + +### Key Features and Enhancements + +### Infrastructure Changes + +### API Changes + +### Fixed Issues + +### Known Issues + ## TensorRT-LLM Release 1.1 ### Key Features and Enhancements From e87a406243fca6c6c3f308d9fb22b29b8f2c38f1 Mon Sep 17 00:00:00 2001 From: Enwei Zhu <21126786+syuoni@users.noreply.github.com> Date: Fri, 16 Jan 2026 21:22:44 +0800 Subject: [PATCH 007/241] [https://nvbugs/5669671][fix] Support GuidedDecoder with sharded logits (pick #10698) (#10742) Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com> --- cpp/tensorrt_llm/kernels/logitsBitmask.cu | 51 ++++++++++--------- cpp/tensorrt_llm/kernels/logitsBitmask.h | 2 +- cpp/tensorrt_llm/thop/logitsBitmaskOp.cpp | 32 +++++++----- .../_torch/pyexecutor/guided_decoder.py | 33 ++++++++++-- .../_torch/pyexecutor/py_executor_creator.py | 3 +- 5 files changed, 79 insertions(+), 42 deletions(-) diff --git a/cpp/tensorrt_llm/kernels/logitsBitmask.cu b/cpp/tensorrt_llm/kernels/logitsBitmask.cu index ac66967e0f85..0bb1ddd6be3f 100644 --- a/cpp/tensorrt_llm/kernels/logitsBitmask.cu +++ b/cpp/tensorrt_llm/kernels/logitsBitmask.cu @@ -64,8 +64,8 @@ __device__ PackedT packedNegativeInfinity() } // namespace template -__global__ void __launch_bounds__(kThreadsPerBlock) logitsBitmaskKernel( - T** __restrict__ logits, uint32_t const** __restrict__ bitmask, int32_t vocabSizePadded, int32_t bitmaskSize) +__global__ void __launch_bounds__(kThreadsPerBlock) + logitsBitmaskKernel(T** __restrict__ logits, uint32_t const** __restrict__ bitmask, int32_t vocabSizePadded) { int constexpr kAlignment = sizeof(PackedT) / sizeof(T); uint32_t constexpr kPackedMask = (1 << kAlignment) - 1; @@ -123,29 +123,28 @@ void logitsBitmaskDispatchToBitsPerThread( static int const smCount = tensorrt_llm::common::getMultiProcessorCount(); int32_t const numBlocksPerRow = ceilDiv(2048 / kThreadsPerBlock * smCount, batchSize); int32_t const numBitsPerThread = ceilDiv(vocabSizePadded, kThreadsPerBlock * numBlocksPerRow); - int32_t bitmaskSize = ceilDiv(vocabSizePadded, kBitsPerMaskElement); dim3 const block(kThreadsPerBlock); if (numBitsPerThread <= 4 && kAlignment <= 4) { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 4), batchSize); - logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded, bitmaskSize); + logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded); } else if (numBitsPerThread <= 8 && kAlignment <= 8) { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 8), batchSize); - logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded, bitmaskSize); + logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded); } else if (numBitsPerThread <= 16 && kAlignment <= 16) { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 16), batchSize); - logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded, bitmaskSize); + logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded); } else { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 32), batchSize); - logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded, bitmaskSize); + logitsBitmaskKernel<<>>(logits, bitmask, vocabSizePadded); } } @@ -185,7 +184,7 @@ template void invokeLogitsBitmask<__nv_bfloat16>( template __global__ void __launch_bounds__(kThreadsPerBlock) contiguousLogitsBitmaskKernel(T* __restrict__ logits, uint32_t const* __restrict__ bitmask, int32_t const* __restrict__ tokenMask, int32_t const* __restrict__ d2t, - int32_t vocabSizePadded, int32_t bitmaskSize) + int32_t vocabSizePadded, int32_t bitmaskStride) { int constexpr kAlignment = sizeof(PackedT) / sizeof(T); uint32_t constexpr kPackedMask = (1 << kAlignment) - 1; @@ -199,7 +198,7 @@ __global__ void __launch_bounds__(kThreadsPerBlock) contiguousLogitsBitmaskKerne int const blockOffset = blockIdx.x * kThreadsPerBlock * kBitsPerThread; T* logitsGmemPtr = logits + batchIdx * vocabSizePadded + blockOffset; - uint32_t const* bitmaskGmemPtr = bitmask + batchIdx * bitmaskSize + blockOffset / kBitsPerMaskElement; + uint32_t const* bitmaskGmemPtr = bitmask + batchIdx * bitmaskStride + blockOffset / kBitsPerMaskElement; int const bitmaskInnerIdx = threadIdx.x % (kBitsPerMaskElement / kAlignment); T logitsReg[kAlignment]; @@ -224,7 +223,7 @@ __global__ void __launch_bounds__(kThreadsPerBlock) contiguousLogitsBitmaskKerne for (int i = 0; i < kAlignment; i++) { int const d2tOffset = blockOffset + offset + i + d2t[blockOffset + offset + i]; - bitmaskVal |= ((~bitmask[batchIdx * bitmaskSize + d2tOffset / kBitsPerMaskElement] + bitmaskVal |= ((~bitmask[batchIdx * bitmaskStride + d2tOffset / kBitsPerMaskElement] >> (d2tOffset % kBitsPerMaskElement)) & 1) << i; @@ -257,7 +256,7 @@ __global__ void __launch_bounds__(kThreadsPerBlock) contiguousLogitsBitmaskKerne template void contiguousLogitsBitmaskDispatchToBitsPerThread(T* logits, uint32_t const* bitmask, int32_t const* tokenMask, - int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, cudaStream_t stream) + int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream) { int constexpr kAlignment = sizeof(PackedT) / sizeof(T); static int const smCount = tensorrt_llm::common::getMultiProcessorCount(); @@ -270,63 +269,69 @@ void contiguousLogitsBitmaskDispatchToBitsPerThread(T* logits, uint32_t const* b { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 4), batchSize); contiguousLogitsBitmaskKernel - <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskSize); + <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskStride); } else if (numBitsPerThread <= 8 && kAlignment <= 8) { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 8), batchSize); contiguousLogitsBitmaskKernel - <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskSize); + <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskStride); } else if (numBitsPerThread <= 16 && kAlignment <= 16) { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 16), batchSize); contiguousLogitsBitmaskKernel - <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskSize); + <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskStride); } else { dim3 const grid(ceilDiv(vocabSizePadded, kThreadsPerBlock * 32), batchSize); contiguousLogitsBitmaskKernel - <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskSize); + <<>>(logits, bitmask, tokenMask, d2t, vocabSizePadded, bitmaskStride); } } template void invokeContiguousLogitsBitmask(T* logits, uint32_t const* bitmask, int32_t const* tokenMask, int32_t const* d2t, - int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, cudaStream_t stream) + int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream) { + // bitmaskStride may not equal to ceilDiv(vocabSizePadded, kBitsPerMaskElement) when: + // (1) d2t is present, then logits are "pruned" (e.g., EAGLE3), while bitmask is complete and should be accessed + // according to d2t. + // (2) logits are sharded along the vocabulary dimension, while the bitmask is complete and should be accessed + // according to the sharding. + // Dispatch to PackedT if (vocabSizePadded % (sizeof(float4) / sizeof(T)) == 0) { contiguousLogitsBitmaskDispatchToBitsPerThread( - logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskSize, stream); + logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskStride, stream); } else if (vocabSizePadded % (sizeof(float2) / sizeof(T)) == 0) { contiguousLogitsBitmaskDispatchToBitsPerThread( - logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskSize, stream); + logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskStride, stream); } else if (vocabSizePadded % (sizeof(float) / sizeof(T)) == 0) { contiguousLogitsBitmaskDispatchToBitsPerThread( - logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskSize, stream); + logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskStride, stream); } else { contiguousLogitsBitmaskDispatchToBitsPerThread( - logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskSize, stream); + logits, bitmask, tokenMask, d2t, batchSize, vocabSizePadded, bitmaskStride, stream); } } template void invokeContiguousLogitsBitmask(float* logits, uint32_t const* bitmask, int32_t const* tokenMask, - int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, cudaStream_t stream); + int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream); template void invokeContiguousLogitsBitmask(half* logits, uint32_t const* bitmask, int32_t const* tokenMask, - int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, cudaStream_t stream); + int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream); #ifdef ENABLE_BF16 template void invokeContiguousLogitsBitmask<__nv_bfloat16>(__nv_bfloat16* logits, uint32_t const* bitmask, - int32_t const* tokenMask, int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, + int32_t const* tokenMask, int32_t const* d2t, int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream); #endif diff --git a/cpp/tensorrt_llm/kernels/logitsBitmask.h b/cpp/tensorrt_llm/kernels/logitsBitmask.h index e2e6cb28cd5d..e3fb6c08fb51 100644 --- a/cpp/tensorrt_llm/kernels/logitsBitmask.h +++ b/cpp/tensorrt_llm/kernels/logitsBitmask.h @@ -32,7 +32,7 @@ void invokeLogitsBitmask( template void invokeContiguousLogitsBitmask(T* logits, uint32_t const* bitmask, int32_t const* tokenMask, int32_t const* d2t, - int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskSize, cudaStream_t stream); + int32_t batchSize, int32_t vocabSizePadded, int32_t bitmaskStride, cudaStream_t stream); } // namespace kernels diff --git a/cpp/tensorrt_llm/thop/logitsBitmaskOp.cpp b/cpp/tensorrt_llm/thop/logitsBitmaskOp.cpp index 2f6eddd5ca0a..6c3e83fd85e1 100644 --- a/cpp/tensorrt_llm/thop/logitsBitmaskOp.cpp +++ b/cpp/tensorrt_llm/thop/logitsBitmaskOp.cpp @@ -23,6 +23,11 @@ TRTLLM_NAMESPACE_BEGIN namespace torch_ext { +namespace +{ +int32_t constexpr kBitsPerMaskElement = 32; +} // namespace + void logitsBitmask(torch::Tensor const& logits, torch::Tensor const& bitmask, at::optional const& tokenMask = at::nullopt, at::optional const& d2t = at::nullopt) { @@ -34,12 +39,15 @@ void logitsBitmask(torch::Tensor const& logits, torch::Tensor const& bitmask, TORCH_CHECK(bitmask.size(0) == batchSize, "bitmask must have the same batch size as logits."); int32_t vocabSizePadded = logits.size(1); - int32_t bitmaskSize = bitmask.size(1); + if (!d2t.has_value()) + { + TORCH_CHECK(bitmask.size(1) == tensorrt_llm::common::ceilDiv(vocabSizePadded, kBitsPerMaskElement), + "bitmask.size(1) must be equal to ceilDiv(vocab_size, 32)."); + } TORCH_CHECK(logits.is_cuda(), "logits must be a CUDA tensor."); TORCH_CHECK(logits.is_contiguous(), "logits must be contiguous."); TORCH_CHECK(logits.dim() == 2, "logits must be a 2D tensor."); TORCH_CHECK(bitmask.is_cuda(), "bitmask must be a CUDA tensor."); - TORCH_CHECK(bitmask.is_contiguous(), "bitmask must be contiguous."); TORCH_CHECK(bitmask.dim() == 2, "bitmask must be a 2D tensor."); TORCH_CHECK(bitmask.scalar_type() == torch::kUInt32 || bitmask.scalar_type() == torch::kInt32, "bitmask must have element type uint32 or int32."); @@ -52,7 +60,7 @@ void logitsBitmask(torch::Tensor const& logits, torch::Tensor const& bitmask, TORCH_CHECK(tokenMask->dim() == 1, "tokenMask must be a 1D tensor."); TORCH_CHECK(tokenMask->size(0) == batchSize, "tokenMask must have the same batch size as logits."); TORCH_CHECK(tokenMask->scalar_type() == torch::kInt32, "tokenMask must have element type int32."); - tokenMaskPtr = reinterpret_cast(tokenMask->data_ptr()); + tokenMaskPtr = static_cast(tokenMask->data_ptr()); } int32_t const* d2tPtr = nullptr; @@ -63,7 +71,7 @@ void logitsBitmask(torch::Tensor const& logits, torch::Tensor const& bitmask, TORCH_CHECK(d2t->dim() == 1, "d2t must be a 1D tensor."); TORCH_CHECK(d2t->size(0) == vocabSizePadded, "d2t must have the same vocab size as logits."); TORCH_CHECK(d2t->scalar_type() == torch::kInt32, "d2t must have element type int32."); - d2tPtr = reinterpret_cast(d2t->data_ptr()); + d2tPtr = static_cast(d2t->data_ptr()); } auto stream = at::cuda::getCurrentCUDAStream(logits.get_device()).stream(); @@ -72,23 +80,23 @@ void logitsBitmask(torch::Tensor const& logits, torch::Tensor const& bitmask, { case torch::kFloat32: { - tensorrt_llm::kernels::invokeContiguousLogitsBitmask(reinterpret_cast(logits.data_ptr()), - reinterpret_cast(bitmask.data_ptr()), tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, - bitmaskSize, stream); + tensorrt_llm::kernels::invokeContiguousLogitsBitmask(static_cast(logits.data_ptr()), + static_cast(bitmask.data_ptr()), tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, + bitmask.stride(0), stream); break; } case torch::kFloat16: { - tensorrt_llm::kernels::invokeContiguousLogitsBitmask<__half>(reinterpret_cast<__half*>(logits.data_ptr()), - reinterpret_cast(bitmask.data_ptr()), tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, - bitmaskSize, stream); + tensorrt_llm::kernels::invokeContiguousLogitsBitmask<__half>(static_cast<__half*>(logits.data_ptr()), + static_cast(bitmask.data_ptr()), tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, + bitmask.stride(0), stream); break; } case torch::kBFloat16: { tensorrt_llm::kernels::invokeContiguousLogitsBitmask<__nv_bfloat16>( - reinterpret_cast<__nv_bfloat16*>(logits.data_ptr()), reinterpret_cast(bitmask.data_ptr()), - tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, bitmaskSize, stream); + static_cast<__nv_bfloat16*>(logits.data_ptr()), static_cast(bitmask.data_ptr()), + tokenMaskPtr, d2tPtr, batchSize, vocabSizePadded, bitmask.stride(0), stream); break; } default: TORCH_CHECK(false, "logits dtype must be float, half or bfloat16."); break; diff --git a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py index 0d4095160447..01386e55e512 100644 --- a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py +++ b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py @@ -145,11 +145,13 @@ def __init__(self, guided_decoding_config: GuidedDecodingConfig, max_num_sequences: int, vocab_size_padded: int, - max_num_draft_tokens: int = 0): + max_num_draft_tokens: int = 0, + rank: int = 0): self.guided_decoding_backend = guided_decoding_config.backend self.max_num_sequences = max_num_sequences self.vocab_size_padded = vocab_size_padded self.max_num_draft_tokens = max_num_draft_tokens + self.rank = rank if self.guided_decoding_backend == GuidedDecodingConfig.GuidedDecodingBackend.XGRAMMAR: self.grammar_matcher_factory = XGrammarMatcherFactory( @@ -305,9 +307,26 @@ def _apply_bitmask(self, """ if num_bitmask_tokens is None: num_bitmask_tokens = requests.num_bitmask_tokens + + # In general, the logits passed to GuidedDecoder are complete in the vocabulary dimension. + # In some special cases (e.g., MTP), the logits are sharded in the vocabulary dimension. + vocab_size_padded = self.vocab_size_padded if d2t is None else d2t.size( + 0) + assert vocab_size_padded % logits.size(1) == 0 + tp_size = vocab_size_padded // logits.size(1) + assert self.bitmask_size % tp_size == 0 + tp_rank = self.rank % tp_size + bitmask_start = tp_rank * self.bitmask_size // tp_size + bitmask_end = bitmask_start + self.bitmask_size // tp_size + + if d2t is not None: + d2t_start = tp_rank * vocab_size_padded // tp_size + d2t_end = d2t_start + vocab_size_padded // tp_size + d2t = d2t[d2t_start:d2t_end] + torch.ops.trtllm.logits_bitmask( logits[:num_bitmask_tokens], - self.bitmask[:num_bitmask_tokens], + self.bitmask[:num_bitmask_tokens, bitmask_start:bitmask_end], token_mask=self.token_mask[:num_bitmask_tokens], d2t=d2t) @@ -423,9 +442,13 @@ def __init__(self, guided_decoding_config: GuidedDecodingConfig, max_num_sequences: int, vocab_size_padded: int, - max_num_draft_tokens: int = 0): - super().__init__(guided_decoding_config, max_num_sequences, - vocab_size_padded, max_num_draft_tokens) + max_num_draft_tokens: int = 0, + rank: int = 0): + super().__init__(guided_decoding_config=guided_decoding_config, + max_num_sequences=max_num_sequences, + vocab_size_padded=vocab_size_padded, + max_num_draft_tokens=max_num_draft_tokens, + rank=rank) # self.requests should be accessed by normal host code; # self.requests_hostfunc should be accessed by hostfunc (CUDA callback). self.requests_hostfunc: Optional[GuidedRequests] = None diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py index 25f391d81353..46960dabe741 100644 --- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py +++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py @@ -505,7 +505,8 @@ def drafting_loop_wrapper(model): kwargs = { "guided_decoding_config": guided_decoding_config, "max_num_sequences": max_batch_size, - "vocab_size_padded": model_engine.model.vocab_size_padded + "vocab_size_padded": model_engine.model.vocab_size_padded, + "rank": mapping.rank, } if spec_config is not None: kwargs[ From c772f3a1ac77cb2dc25d597c11c81537dff69b2d Mon Sep 17 00:00:00 2001 From: Mike Iovine Date: Fri, 16 Jan 2026 17:14:02 -0500 Subject: [PATCH 008/241] [https://nvbugs/5803813][fix] Fix llama 4 min latency (#10724) Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com> --- .../_torch/models/modeling_llama_min_latency.py | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/tensorrt_llm/_torch/models/modeling_llama_min_latency.py b/tensorrt_llm/_torch/models/modeling_llama_min_latency.py index 9af2d99f0b83..ae3d1601fbe5 100644 --- a/tensorrt_llm/_torch/models/modeling_llama_min_latency.py +++ b/tensorrt_llm/_torch/models/modeling_llama_min_latency.py @@ -88,9 +88,10 @@ def __init__( self.enable_trtllm_gen = enable_trtllm_gen self.position_ids = None - def load_weights(self, weights: List[Dict]): + def load_weights(self, weights: List[Dict], allow_partial_loading: bool): - super().load_weights(weights) + super().load_weights(weights, + allow_partial_loading=allow_partial_loading) # After loading weights, calculate the combined scale (input_scale * weight_scale) for special kernels and # trtllm-gen kernels. @@ -384,11 +385,6 @@ def __init__( and self.floor_scale == 8192.0 \ and self.attn_scale == 0.1 - qkv_shard_indices_mapping = { - "q": (0, self.q_size), - "k": (self.q_size, self.kv_size), - "v": (self.q_size + self.kv_size, self.kv_size), - } # When min-latency QKV gemm is enabled, override qkv_proj. self.qkv_proj = Llama4MinLatencyLinear( self.hidden_size, @@ -405,7 +401,6 @@ def __init__( enable_fused_gemm_attn_scaling=self. enable_fused_gemm_attn_scaling, enable_trtllm_gen=True, - fused_weight_shard_indices_mapping=qkv_shard_indices_mapping, ) def _forward_nope( From 18fe9157b003b8cb26e12d175c2ec588a80652cd Mon Sep 17 00:00:00 2001 From: Faraz <58580514+farazkh80@users.noreply.github.com> Date: Fri, 16 Jan 2026 19:48:47 -0500 Subject: [PATCH 009/241] [TRTLLM-5366][chore] Add dgx-spark beta notes (#10766) Signed-off-by: Faraz Khoubsirat <58580514+farazkh80@users.noreply.github.com> --- docs/source/release-notes.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/docs/source/release-notes.md b/docs/source/release-notes.md index 25a380a83027..81557242aa12 100644 --- a/docs/source/release-notes.md +++ b/docs/source/release-notes.md @@ -8,6 +8,20 @@ All published functionality in the Release Notes has been fully tested and verif ### Key Features and Enhancements +- **DGX Spark Support (Beta)** + - Added beta support for single-node DGX Spark. + - Validated models and precision formats: + - GPT-OSS-20B, GPT-OSS-120B (MXFP4) + - Llama-3.1-8B-Instruct (FP16/FP8/NVFP4) + - Llama-3.3-70B-Instruct (FP8/NVFP4) + - Qwen3-8B, Qwen3-14B (FP16/FP8/NVFP4) + - Qwen3-32B (FP16/NVFP4) + - Qwen3-30B-A3B (FP16/NVFP4) + - NVIDIA-Nemotron-Nano-9B-v2 (FP4) + - Llama-3.3-Nemotron-Super-49B-v1.5 (FP8) + - Phi-4-multimodal-instruct (FP16/FP8/NVFP4) + - Phi-4-reasoning-plus (FP16/FP8/NVFP4) + ### Infrastructure Changes ### API Changes @@ -16,6 +30,8 @@ All published functionality in the Release Notes has been fully tested and verif ### Known Issues +- **DGX Spark:** DGX Spark support is in beta. Only single-node configurations and the models listed above have been validated in this release. + ## TensorRT-LLM Release 1.1 ### Key Features and Enhancements From a48466f1ff3cff82fb69ca76f4a35f90d53a6808 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Sat, 17 Jan 2026 23:28:01 +0800 Subject: [PATCH 010/241] [None][infra] Update upgrade related docs for release 1.2 (#10760) Signed-off-by: qqiao Signed-off-by: Yanchao Lu Co-authored-by: Yanchao Lu --- README.md | 4 ++-- docs/source/installation/linux.md | 11 +++++++---- docs/source/legacy/reference/support-matrix.md | 4 ++-- jenkins/Build.groovy | 2 +- jenkins/L0_Test.groovy | 8 +++++--- 5 files changed, 17 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index fbd1485ba39c..65e1e4071215 100644 --- a/README.md +++ b/README.md @@ -8,8 +8,8 @@ state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.< [![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://nvidia.github.io/TensorRT-LLM/) [![python](https://img.shields.io/badge/python-3.12-green)](https://www.python.org/downloads/release/python-3123/) [![python](https://img.shields.io/badge/python-3.10-green)](https://www.python.org/downloads/release/python-31012/) -[![cuda](https://img.shields.io/badge/cuda-13.0.0-green)](https://developer.nvidia.com/cuda-downloads) -[![torch](https://img.shields.io/badge/torch-2.9.0-green)](https://pytorch.org) +[![cuda](https://img.shields.io/badge/cuda-13.1.0-green)](https://developer.nvidia.com/cuda-downloads) +[![torch](https://img.shields.io/badge/torch-2.9.1-green)](https://pytorch.org) [![version](https://img.shields.io/badge/release-1.2.0-green)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/tensorrt_llm/version.py) [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/LICENSE) diff --git a/docs/source/installation/linux.md b/docs/source/installation/linux.md index a9704f9cadcd..d91347a8e41a 100644 --- a/docs/source/installation/linux.md +++ b/docs/source/installation/linux.md @@ -9,15 +9,15 @@ Before the pre-built Python wheel can be installed via `pip`, a few prerequisites must be put into place: - Install CUDA Toolkit 13.0 following the [CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) + Install CUDA Toolkit 13.1 following the [CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and make sure `CUDA_HOME` environment variable is properly set. - The `cuda-compat-13-0` package may be required depending on your system's NVIDIA GPU + The `cuda-compat-13-1` package may be required depending on your system's NVIDIA GPU driver version. For additional information, refer to the [CUDA Forward Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/forward-compatibility.html). ```bash - # By default, PyTorch CUDA 12.8 package is installed. Install PyTorch CUDA 13.0 package to align with the CUDA version used for building TensorRT LLM wheels. - pip3 install torch==2.9.0 torchvision --index-url https://download.pytorch.org/whl/cu130 + # By default, PyTorch CUDA 12.8 package is installed. Since PyTorch CUDA 13.0 package to align with the CUDA version used for building TensorRT LLM wheels. + pip3 install torch==2.9.1 torchvision --index-url https://download.pytorch.org/whl/cu130 sudo apt-get -y install libopenmpi-dev @@ -39,6 +39,9 @@ ```bash pip3 install --upgrade pip setuptools && pip3 install tensorrt_llm ``` + + > **Note:** The TensorRT LLM wheel on PyPI is built with PyTorch 2.9.1. This version may be incompatible with the NVIDIA NGC PyTorch 25.12 container, which uses a more recent PyTorch build from the main branch. If you are using this container or a similar environment, please install the pre-built wheel located at `/app/tensorrt_llm` inside the TensorRT LLM NGC Release container instead. + **This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.** 2. Sanity check the installation by running the following in Python (tested on Python 3.12): diff --git a/docs/source/legacy/reference/support-matrix.md b/docs/source/legacy/reference/support-matrix.md index c05c689ab42e..8cf072d0af00 100644 --- a/docs/source/legacy/reference/support-matrix.md +++ b/docs/source/legacy/reference/support-matrix.md @@ -154,9 +154,9 @@ The following table shows the supported software for TensorRT-LLM. * - - Software Compatibility * - Container - - [25.10](https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html) + - [25.12](https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html) * - TensorRT - - [10.13](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html) + - [10.14](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html) * - Precision - - Blackwell (SM100/SM103/SM120) - FP32, FP16, BF16, FP8, FP4, INT8, INT4 diff --git a/jenkins/Build.groovy b/jenkins/Build.groovy index 35b95d4cac9e..f36071acb8db 100644 --- a/jenkins/Build.groovy +++ b/jenkins/Build.groovy @@ -454,7 +454,7 @@ def runLLMBuild(pipeline, buildFlags, tarName, is_linux_x86_64) def llmPath = sh (script: "realpath ${LLM_ROOT}",returnStdout: true).trim() // TODO: Remove after the cmake version is upgraded to 3.31.8 // Get triton tag from docker/dockerfile.multi - def tritonShortTag = "r25.10" + def tritonShortTag = "r25.12" sh "cd ${LLM_ROOT}/triton_backend/inflight_batcher_llm && mkdir build && cd build && cmake .. -DTRTLLM_DIR=${llmPath} -DTRITON_COMMON_REPO_TAG=${tritonShortTag} -DTRITON_CORE_REPO_TAG=${tritonShortTag} -DTRITON_THIRD_PARTY_REPO_TAG=${tritonShortTag} -DTRITON_BACKEND_REPO_TAG=${tritonShortTag} -DUSE_CXX11_ABI=ON && make -j${buildJobs} install" // Step 3: packaging wheels into tarfile diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index 901ed9e932dd..e8c1d3fe4f70 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -1988,7 +1988,7 @@ def launchTestListCheck(pipeline) def llmPath = sh (script: "realpath .", returnStdout: true).trim() def llmSrc = "${llmPath}/TensorRT-LLM/src" trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install -r ${llmSrc}/requirements-dev.txt") - sh "NVIDIA_TRITON_SERVER_VERSION=25.10 LLM_ROOT=${llmSrc} LLM_BACKEND_ROOT=${llmSrc}/triton_backend python3 ${llmSrc}/scripts/check_test_list.py --l0 --qa --waive" + sh "NVIDIA_TRITON_SERVER_VERSION=25.12 LLM_ROOT=${llmSrc} LLM_BACKEND_ROOT=${llmSrc}/triton_backend python3 ${llmSrc}/scripts/check_test_list.py --l0 --qa --waive" } catch (InterruptedException e) { throw e } catch (Exception e) { @@ -3432,7 +3432,9 @@ def launchTestJobs(pipeline, testFilter) ] aarch64SanityCheckConfigs = [ - /* //Disable PY312-UB2404 temporarily since lack of official PyTorch for CUDA 13.1. + // Workaround PyTorch 2.9.1 vs. 2.10.0a0 incompatibility issue. Once resolved, change back to: + // 1. DLFW_IMAGE -> UBUNTU_24_04_IMAGE + // 2. Extra PyTorch CUDA install: false -> true "PY312-UB2404": [ LLM_DOCKER_IMAGE, "GH200", @@ -3441,7 +3443,7 @@ def launchTestJobs(pipeline, testFilter) "", DLFW_IMAGE, false, // Extra PyTorch CUDA 13.0 install - ],*/ + ], "PY312-DLFW": [ LLM_DOCKER_IMAGE, "GH200", From 6a8f18ea2dff95d150c6d0f9d67ebab1cfb12ec2 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Sun, 18 Jan 2026 21:02:43 +0800 Subject: [PATCH 011/241] [None][infra] Waive failed cases for release on 10/18 (#10781) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 2b9205af2bd4..58d6c01306cc 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -393,3 +393,8 @@ unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_ unittest/_torch/auto_deploy/unit/multigpu/test_ad_allreduce_strategies.py::test_allreduce_strategies[AUTO] SKIP (https://nvbugs/5814247) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKIP (https://nvbugs/5651865) +test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) +accuracy/test_cli_flow.py::TestLlama2_7B::test_fp8 SKIP (https://nvbugs/5819452) +accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) +accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5819021) +accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] SKIP (https://nvbugs/5740377) From 368cb15a6cb4768c096332b20f29279b4ea4d92f Mon Sep 17 00:00:00 2001 From: jmydurant <13463932+jmydurant@users.noreply.github.com> Date: Mon, 19 Jan 2026 09:57:41 +0800 Subject: [PATCH 012/241] [None][doc] update doc (add minimax model) (#10749) Signed-off-by: Mingyang Jiang <13463932+jmydurant@users.noreply.github.com> --- docs/source/models/supported-models.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/models/supported-models.md b/docs/source/models/supported-models.md index 75f91dfef646..d794ee7cddfe 100644 --- a/docs/source/models/supported-models.md +++ b/docs/source/models/supported-models.md @@ -14,6 +14,7 @@ The following is a table of supported models for the PyTorch backend: | `GptOssForCausalLM` | GPT-OSS | `openai/gpt-oss-120b` | | `LlamaForCausalLM` | Llama 3.1, Llama 3, Llama 2, LLaMA | `meta-llama/Meta-Llama-3.1-70B` | | `Llama4ForConditionalGeneration` | Llama 4 | `meta-llama/Llama-4-Scout-17B-16E-Instruct` | +| `MiniMaxM2ForCausalLM` | MiniMax M2/M2.1 | `MiniMaxAI/MiniMax-M2` | | `MistralForCausalLM` | Mistral | `mistralai/Mistral-7B-v0.1` | | `MixtralForCausalLM` | Mixtral | `mistralai/Mixtral-8x7B-v0.1` | | `MllamaForConditionalGeneration` | Llama 3.2 | `meta-llama/Llama-3.2-11B-Vision` | From 83be9bb50d3c55476dda23f9a94e557d1df29741 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Mon, 19 Jan 2026 10:03:10 +0800 Subject: [PATCH 013/241] [None][fix] Fix tmp dir being deleted too early in unit test. (#10741) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- tests/unittest/_torch/misc/test_autotuner.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/unittest/_torch/misc/test_autotuner.py b/tests/unittest/_torch/misc/test_autotuner.py index 7212f491e6ba..c5021ef7f9a0 100644 --- a/tests/unittest/_torch/misc/test_autotuner.py +++ b/tests/unittest/_torch/misc/test_autotuner.py @@ -738,6 +738,8 @@ def _distributed_worker_function(world_size, strategy): runner = DistributedGemmRunner(prefer_tactics=prefer_tactics) config = TuningConfig(distributed_tuning_strategy=strategy) + # Keep temp_dir in function scope to prevent premature garbage collection + temp_dir = None if rank == 0: temp_dir = tempfile.TemporaryDirectory() # rank 0 should broadcast the cache path to all ranks @@ -782,6 +784,7 @@ def _distributed_worker_function(world_size, strategy): else: assert False, f"Unknown strategy: {strategy}" + dist.barrier() return True From 17f419f5e11a8d2bf7973e14a4fd2bdfbd8cc34f Mon Sep 17 00:00:00 2001 From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> Date: Mon, 19 Jan 2026 10:11:18 +0800 Subject: [PATCH 014/241] [https://nvbugs/5811697][fix] Fix buffer reuse. (#10716) Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> --- tensorrt_llm/_torch/memory_buffer_utils.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/tensorrt_llm/_torch/memory_buffer_utils.py b/tensorrt_llm/_torch/memory_buffer_utils.py index 8d75cd354a6d..3be29e30a745 100644 --- a/tensorrt_llm/_torch/memory_buffer_utils.py +++ b/tensorrt_llm/_torch/memory_buffer_utils.py @@ -79,16 +79,20 @@ def get_buffer(self, tensor_shape: list[int], dtype: torch.dtype, best_fit_block = block smallest_sufficient_size = block.buffer.numel() - if reserve_buffer and best_fit_block is not None: + if best_fit_block is not None: + if reserve_buffer: + best_fit_block.is_reserved = True # A suitable buffer was found, so reuse it. - best_fit_block.is_reserved = True return self._view_as(best_fit_block.buffer, tensor_shape, dtype) for block in list(candidate_blocks): if not block.is_reserved: # Need to call del BufferBlock.buffer, otherwise memory isn't # released and OOM may happen. + buffer_size = block.buffer.numel() del block.buffer + if buffer_size >= 1024 * 1024 * 1024: + torch.cuda.empty_cache() candidate_blocks.remove(block) # No suitable buffer was found, so allocate a new one. From bc712a0ee14201fff0bf8db2362e76644efa37e0 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Mon, 19 Jan 2026 13:41:56 +0800 Subject: [PATCH 015/241] [https://nvbugs/5782112][fix] Cherry-pick #10633: Fix hanging issue for MNNVL Allreduce under PP (#10750) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- .../nanobind/runtime/bindings.cpp | 6 ++--- cpp/tensorrt_llm/pybind/runtime/bindings.cpp | 6 ++--- .../runtime/mcastDeviceMemory.cpp | 12 ++++++---- cpp/tensorrt_llm/runtime/mcastDeviceMemory.h | 4 ++-- cpp/tensorrt_llm/runtime/mcastGPUBuffer.h | 10 ++++---- tensorrt_llm/_torch/distributed/ops.py | 23 +++++++++---------- 6 files changed, 32 insertions(+), 29 deletions(-) diff --git a/cpp/tensorrt_llm/nanobind/runtime/bindings.cpp b/cpp/tensorrt_llm/nanobind/runtime/bindings.cpp index 7a698b4eb68f..df8120b3ef82 100644 --- a/cpp/tensorrt_llm/nanobind/runtime/bindings.cpp +++ b/cpp/tensorrt_llm/nanobind/runtime/bindings.cpp @@ -347,9 +347,9 @@ void initBindings(nb::module_& m) nb::call_guard()); nb::class_(m, "McastGPUBuffer") - .def(nb::init(), nb::arg("buf_size"), - nb::arg("group_size"), nb::arg("group_rank"), nb::arg("split_color"), nb::arg("device_idx"), - nb::arg("mn_nvlink"), nb::call_guard()) + .def(nb::init(), nb::arg("buf_size"), + nb::arg("group_size"), nb::arg("group_rank"), nb::arg("device_idx"), nb::arg("mn_nvlink"), + nb::arg("mpi_comm_fortran_handle"), nb::call_guard()) .def("get_uc_buffer", &tensorrt_llm::runtime::McastGPUBuffer::getUCBuffer, nb::call_guard()) .def("get_mc_buffer", &tensorrt_llm::runtime::McastGPUBuffer::getMCBuffer, diff --git a/cpp/tensorrt_llm/pybind/runtime/bindings.cpp b/cpp/tensorrt_llm/pybind/runtime/bindings.cpp index ee4303d31b82..8f9d0bc0258c 100644 --- a/cpp/tensorrt_llm/pybind/runtime/bindings.cpp +++ b/cpp/tensorrt_llm/pybind/runtime/bindings.cpp @@ -443,9 +443,9 @@ void initBindings(pybind11::module_& m) py::call_guard()); py::class_(m, "McastGPUBuffer") - .def(py::init(), py::arg("buf_size"), - py::arg("group_size"), py::arg("group_rank"), py::arg("split_color"), py::arg("device_idx"), - py::arg("mn_nvlink"), py::call_guard()) + .def(py::init(), py::arg("buf_size"), + py::arg("group_size"), py::arg("group_rank"), py::arg("device_idx"), py::arg("mn_nvlink"), + py::arg("mpi_comm_fortran_handle"), py::call_guard()) .def("get_uc_buffer", &tensorrt_llm::runtime::McastGPUBuffer::getUCBuffer, py::call_guard()) .def("get_mc_buffer", &tensorrt_llm::runtime::McastGPUBuffer::getMCBuffer, diff --git a/cpp/tensorrt_llm/runtime/mcastDeviceMemory.cpp b/cpp/tensorrt_llm/runtime/mcastDeviceMemory.cpp index 9be590c7fceb..cb1303fc84bc 100644 --- a/cpp/tensorrt_llm/runtime/mcastDeviceMemory.cpp +++ b/cpp/tensorrt_llm/runtime/mcastDeviceMemory.cpp @@ -38,7 +38,7 @@ inline size_t roundUp(size_t val, size_t gran) } // namespace McastDeviceMemory::McastDeviceMemory( - size_t bufSize, uint32_t groupSize, uint32_t groupRank, uint32_t splitColor, int deviceIdx, bool mnNvlink) + size_t bufSize, uint32_t groupSize, uint32_t groupRank, int deviceIdx, bool mnNvlink, int64_t mpiCommFortranHandle) : mIsMNNvlink(mnNvlink) , mDeviceIdx(deviceIdx) , mGroupSize(groupSize) @@ -48,7 +48,11 @@ McastDeviceMemory::McastDeviceMemory( , mAllocationSize(0) , mMcPtr(0) , mMcHandle(0) - , mGroupComm(tensorrt_llm::mpi::MpiComm::session().split(splitColor, mGroupRank)) +#if ENABLE_MULTI_DEVICE + , mGroupComm(MPI_Comm_f2c(mpiCommFortranHandle), false) +#else + , mGroupComm(nullptr, false) +#endif { TLLM_CUDA_CHECK(cudaSetDevice(mDeviceIdx)); @@ -66,9 +70,9 @@ McastDeviceMemory::McastDeviceMemory( int const world_rank{tensorrt_llm::mpi::MpiComm::session().getRank()}; TLLM_LOG_DEBUG( - "[McastDeviceMemory] World Rank: %u, Group Rank: %u, Group size: %u, GroupSplitColor: %u, isMultiNode: %d, " + "[McastDeviceMemory] World Rank: %u, Group Rank: %u, Group size: %u, isMultiNode: %d, " "device_idx: %d, Signal pad offset: %zu", - world_rank, mGroupRank, mGroupSize, splitColor, mIsMNNvlink, mDeviceIdx, mSignalPadOffset); + world_rank, mGroupRank, mGroupSize, mIsMNNvlink, mDeviceIdx, mSignalPadOffset); if (mIsMNNvlink) { diff --git a/cpp/tensorrt_llm/runtime/mcastDeviceMemory.h b/cpp/tensorrt_llm/runtime/mcastDeviceMemory.h index d9428b4126c7..537bf4978827 100644 --- a/cpp/tensorrt_llm/runtime/mcastDeviceMemory.h +++ b/cpp/tensorrt_llm/runtime/mcastDeviceMemory.h @@ -43,8 +43,8 @@ class McastDeviceMemory McastDeviceMemory(McastDeviceMemory const&) = delete; McastDeviceMemory& operator=(McastDeviceMemory const&) = delete; - McastDeviceMemory( - size_t bufSize, uint32_t groupSize, uint32_t groupRank, uint32_t splitColor, int deviceIdx, bool mnNvlink); + McastDeviceMemory(size_t bufSize, uint32_t groupSize, uint32_t groupRank, int deviceIdx, bool mnNvlink, + int64_t mpiCommFortranHandle); // We don't register the pointer in these two functions since we don't expect any python-level code would call // to obtain the raw pointers. diff --git a/cpp/tensorrt_llm/runtime/mcastGPUBuffer.h b/cpp/tensorrt_llm/runtime/mcastGPUBuffer.h index 4c011a790ba5..160ab63f0577 100644 --- a/cpp/tensorrt_llm/runtime/mcastGPUBuffer.h +++ b/cpp/tensorrt_llm/runtime/mcastGPUBuffer.h @@ -34,12 +34,12 @@ class McastGPUBuffer //! \param bufSize The total size of the buffer in bytes. //! \param groupSize The number of ranks in the communication group. //! \param groupRank The rank of the local process within the group. - //! \param splitColor The color of the split for topology split. - //! \param device The CUDA device for buffer allocation. + //! \param deviceIdx The CUDA device for buffer allocation. //! \param mnNvlink Flag indicating if multi-node NVLink is used. - McastGPUBuffer( - size_t bufSize, uint32_t groupSize, uint32_t groupRank, uint32_t splitColor, uint32_t deviceIdx, bool mnNvlink) - : mMcastDeviceMemory(bufSize, groupSize, groupRank, splitColor, deviceIdx, mnNvlink) + //! \param mpiCommFortranHandle The Fortran handle for the MPI communicator (from Python mpi4py). + McastGPUBuffer(size_t bufSize, uint32_t groupSize, uint32_t groupRank, uint32_t deviceIdx, bool mnNvlink, + int64_t mpiCommFortranHandle) + : mMcastDeviceMemory(bufSize, groupSize, groupRank, deviceIdx, mnNvlink, mpiCommFortranHandle) , mBufSize(bufSize) , mLocalDevice(at::Device(at::DeviceType::CUDA, deviceIdx)) { diff --git a/tensorrt_llm/_torch/distributed/ops.py b/tensorrt_llm/_torch/distributed/ops.py index 713d728566b8..84468dc612f0 100644 --- a/tensorrt_llm/_torch/distributed/ops.py +++ b/tensorrt_llm/_torch/distributed/ops.py @@ -65,14 +65,12 @@ def get_or_scale_allreduce_mnnvl_workspace( """ NUM_LAMPORT_BUFFERS = 3 - if not hasattr(_thread_local, - f'allreduce_mnnvl_workspaces_{mapping.pp_rank}'): - setattr(_thread_local, f'allreduce_mnnvl_workspaces_{mapping.pp_rank}', - {}) + + # Use MNNVLAllReduce class to share across threads + allreduce_mnnvl_workspaces = MNNVLAllReduce.allreduce_mnnvl_workspaces + # A safe method to get the element size of the dtype elem_size = torch.tensor([], dtype=dtype).element_size() - allreduce_mnnvl_workspaces = getattr( - _thread_local, f'allreduce_mnnvl_workspaces_{mapping.pp_rank}') force_mn = os.environ.get("TRTLLM_FORCE_MNNVL_AR", "0") == "1" use_fabric_handle = force_mn or mapping.is_multi_node() @@ -101,19 +99,19 @@ def get_or_scale_allreduce_mnnvl_workspace( # Increase the buffer size in 8 MiB granularity to avoid frequently scaling the buffer buffer_size_bytes = math.ceil(req_buffer_size_bytes / (8 * 1024 * 1024)) * (8 * 1024 * 1024) - if mapping.tp_rank == 0: - logger.debug( - f"[MNNVL] Requested {req_buffer_size_bytes} bytes, is larger than the current workspace size. Scaling workspace for pp_rank {mapping.pp_rank}, tp_size {mapping.tp_size} from {allreduce_mnnvl_workspaces[mapping]['buffer_size_bytes']} to {buffer_size_bytes} bytes" - ) + logger.debug( + f"[MNNVL] Requested {req_buffer_size_bytes} bytes, is larger than the current workspace size. Scaling workspace for pp_rank {mapping.pp_rank}, tp_size {mapping.tp_size} from {allreduce_mnnvl_workspaces[mapping]['buffer_size_bytes']} to {buffer_size_bytes} bytes" + ) # Each workspace contains NUM_LAMPORT_BUFFERS buffers. workspace_size_bytes = NUM_LAMPORT_BUFFERS * buffer_size_bytes + # Pass the pre-split MPI communicator's Fortran handle to avoid redundant splitting in C++ mcast_buf_handle = McastGPUBuffer( workspace_size_bytes, mapping.tp_size, mapping.tp_rank, - mapping.pp_rank * mapping.cp_size + mapping.cp_rank, mapping.local_rank, use_fabric_handle, # whether to use fabric handle or POSIX FD ipc + comm.py2f(), # Fortran handle for the MPI communicator ) # We use per FP32 element in the buffer for lamport sync @@ -517,6 +515,7 @@ class MNNVLAllReduce(nn.Module): This class handles the MNNVL-specific allreduce operations, which can be more efficient for certain operations when using NVLink for multi-node communication. """ + allreduce_mnnvl_workspaces: Dict[Mapping, Dict] = {} def __init__(self, mapping: Mapping, dtype: torch.dtype): super().__init__() @@ -530,7 +529,7 @@ def __init__(self, mapping: Mapping, dtype: torch.dtype): ) # Initialize the workspace - _ = get_or_scale_allreduce_mnnvl_workspace(self.mapping, self.dtype) + get_or_scale_allreduce_mnnvl_workspace(self.mapping, self.dtype) @staticmethod def get_supported_dtypes(): From 61854648a7ddd135e5f0327d19a768830a2b9f5c Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Mon, 19 Jan 2026 13:43:25 +0800 Subject: [PATCH 016/241] [None][infra] Waive failed case for release branch on 01/19 (#10795) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 58d6c01306cc..f6271af21ce0 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -398,3 +398,4 @@ accuracy/test_cli_flow.py::TestLlama2_7B::test_fp8 SKIP (https://nvbugs/5819452) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5819021) accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] SKIP (https://nvbugs/5740377) +accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) From 460b8a5b992428ae8b3a51ee76444eac2d465d46 Mon Sep 17 00:00:00 2001 From: ruodil <200874449+ruodil@users.noreply.github.com> Date: Mon, 19 Jan 2026 14:10:19 +0800 Subject: [PATCH 017/241] [None][test] modify ctx config in 128k8k disagg cases (#10779) Signed-off-by: Ruodi Lu Co-authored-by: Ruodi Lu --- ...fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml | 4 ++-- ...fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml | 2 +- ...fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml | 4 ++-- ...-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml | 4 ++-- ...fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml | 4 ++-- ...fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml | 4 ++-- ...p4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml | 4 ++-- ...fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml | 4 ++-- ...fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml | 4 ++-- ...fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml | 4 ++-- ...p4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml | 4 ++-- ...fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml | 4 ++-- ...fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml | 4 ++-- ...fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml | 4 ++-- ...p4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml | 4 ++-- ...p4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml | 4 ++-- ...p4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml | 4 ++-- ...fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml | 4 ++-- ...fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml | 4 ++-- ...fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml | 4 ++-- tests/integration/defs/perf/test_perf.py | 1 + 35 files changed, 60 insertions(+), 59 deletions(-) diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml index 2fdb13e41011..a4ad607842d9 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml index c894c1e19327..f2b1074ea4fc 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml @@ -78,12 +78,12 @@ worker_config: num_postprocess_workers: 4 allreduce_strategy: MNNVL ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml index 8010f1aaaa26..238aa8b6effe 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml @@ -87,7 +87,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml index 66f080aa4ea3..ca20d690388a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml index 9462ae86bfb0..a22245dee91a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml @@ -78,12 +78,12 @@ worker_config: num_postprocess_workers: 4 allreduce_strategy: MNNVL ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml index 0087e871cade..59d835780b16 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml index 826b01a6bbe8..5be853b4ac63 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml @@ -78,12 +78,12 @@ worker_config: num_postprocess_workers: 4 allreduce_strategy: MNNVL ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml index ada7c29e9930..dfbf6222ed95 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml index ba0b4d003ed0..55972145a59f 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml @@ -86,7 +86,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml index 81fbcf581e83..02bc0863a9a0 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 2 ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml index 675e3e66f2d6..fd3ad8c0f1be 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml index cabf7bcf5ca9..1cd58fc3936e 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml @@ -87,7 +87,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml index 0aa4795d7cba..1565c88347c7 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml @@ -82,12 +82,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml index 278d4afa785a..281ab8215104 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml index 144a05c12079..77e113fec290 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 2 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml index 065c280cea8f..517b5c61e778 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml @@ -83,7 +83,7 @@ worker_config: max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml index 69f5763bb401..449fd368a3a8 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml @@ -78,12 +78,12 @@ worker_config: num_postprocess_workers: 4 allreduce_strategy: MNNVL ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml index c59bbe4ac95a..d794643060ab 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: num_nextn_predict_layers: 3 allreduce_strategy: MNNVL ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml index 63b81d5c7adc..d547dae70666 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml index 6dee7193fcda..90d277005791 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml @@ -80,12 +80,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 1 ctx: - max_batch_size: 16 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml index 5578abce0b81..1c935ff7c416 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 16 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml index 1d5531383dd0..ee9d98cdaa99 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 2 ctx: - max_batch_size: 8 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml index 12246924dadf..d69db0a1ca34 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml index 21735da39881..a51d1073e30c 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 8 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml index 74477f81a26f..05d6a10d3268 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 16 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml index bf927bc583b5..5befdee83318 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 8 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml index 693a9c995fc2..e2bcac62240b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 2 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml index 83967207ee51..d449c173c778 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml index 90a2879c52ce..90ed3bd0d33c 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 1 ctx: - max_batch_size: 16 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml index 80da2262de4a..2eed9c9959c7 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 32 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml index cb0ab7c034d4..c9226167aa5a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 1 ctx: - max_batch_size: 32 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml index 9e94dd864aa4..e92e50d77f95 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 4 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml index 984fb5bb6d5a..fb0c3d54835c 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml @@ -77,12 +77,12 @@ worker_config: stream_interval: 20 num_postprocess_workers: 4 ctx: - max_batch_size: 8 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml index 0b1402b3cc5f..8740d2861c4f 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml @@ -81,12 +81,12 @@ worker_config: decoding_type: MTP num_nextn_predict_layers: 3 ctx: - max_batch_size: 8 + max_batch_size: 1 max_num_tokens: 131104 max_seq_len: 131104 tensor_parallel_size: 1 moe_expert_parallel_size: 1 - enable_attention_dp: true + enable_attention_dp: false pipeline_parallel_size: 4 print_iter_log: true cuda_graph_config: null diff --git a/tests/integration/defs/perf/test_perf.py b/tests/integration/defs/perf/test_perf.py index 44145728aeab..428d89d7ff5b 100644 --- a/tests/integration/defs/perf/test_perf.py +++ b/tests/integration/defs/perf/test_perf.py @@ -236,6 +236,7 @@ "llama_v3.3_nemotron_super_49b_fp8", "llama_v3.1_nemotron_ultra_253b", "llama_v3.1_nemotron_ultra_253b_fp8", + "kimi_k2_nvfp4", } From e5ade20778a1335a3e39b51a3475b095334c851a Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 19 Jan 2026 08:30:01 +0000 Subject: [PATCH 018/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../cpp/kernels/fmha_v2/poetry.lock | 21 +- .../cpp/kernels/fmha_v2/pyproject.toml | 21 +- security_scanning/docs/poetry.lock | 238 +-- security_scanning/docs/pyproject.toml | 32 +- security_scanning/examples/apps/poetry.lock | 31 +- .../examples/apps/pyproject.toml | 19 +- .../examples/auto_deploy/poetry.lock | 478 ++++- .../examples/auto_deploy/pyproject.toml | 19 +- .../examples/draft_target_model/poetry.lock | 265 ++- .../draft_target_model/pyproject.toml | 23 +- security_scanning/examples/eagle/poetry.lock | 265 ++- .../examples/eagle/pyproject.toml | 23 +- .../llm-eval/lm-eval-harness/poetry.lock | 530 ++++- .../llm-eval/lm-eval-harness/pyproject.toml | 17 +- .../examples/longbench/poetry.lock | 10 +- .../examples/longbench/pyproject.toml | 21 +- .../examples/lookahead/poetry.lock | 265 ++- .../examples/lookahead/pyproject.toml | 23 +- security_scanning/examples/medusa/poetry.lock | 265 ++- .../examples/medusa/pyproject.toml | 23 +- .../models/contrib/baichuan/poetry.lock | 270 ++- .../models/contrib/baichuan/pyproject.toml | 27 +- .../examples/models/contrib/bloom/poetry.lock | 265 ++- .../models/contrib/bloom/pyproject.toml | 23 +- .../models/contrib/chatglm-6b/poetry.lock | 267 ++- .../models/contrib/chatglm-6b/pyproject.toml | 27 +- .../models/contrib/chatglm2-6b/poetry.lock | 267 ++- .../models/contrib/chatglm2-6b/pyproject.toml | 27 +- .../contrib/chatglm3-6b-32k/poetry.lock | 267 ++- .../contrib/chatglm3-6b-32k/pyproject.toml | 27 +- .../examples/models/contrib/dbrx/poetry.lock | 265 ++- .../models/contrib/dbrx/pyproject.toml | 23 +- .../models/contrib/deepseek_v1/poetry.lock | 264 ++- .../models/contrib/deepseek_v1/pyproject.toml | 21 +- .../models/contrib/deepseek_v2/poetry.lock | 264 ++- .../models/contrib/deepseek_v2/pyproject.toml | 21 +- .../models/contrib/falcon/poetry.lock | 184 +- .../models/contrib/falcon/pyproject.toml | 27 +- .../examples/models/contrib/gptj/poetry.lock | 264 ++- .../models/contrib/gptj/pyproject.toml | 21 +- .../models/contrib/gptneox/poetry.lock | 264 ++- .../models/contrib/gptneox/pyproject.toml | 21 +- .../examples/models/contrib/grok/poetry.lock | 392 +++- .../models/contrib/grok/pyproject.toml | 27 +- .../models/contrib/hyperclovax/poetry.lock | 91 +- .../models/contrib/hyperclovax/pyproject.toml | 21 +- .../models/contrib/internlm/poetry.lock | 265 ++- .../models/contrib/internlm/pyproject.toml | 23 +- .../examples/models/contrib/jais/poetry.lock | 265 ++- .../models/contrib/jais/pyproject.toml | 23 +- .../examples/models/contrib/mmdit/poetry.lock | 65 +- .../models/contrib/mmdit/pyproject.toml | 19 +- .../examples/models/contrib/mpt/poetry.lock | 264 ++- .../models/contrib/mpt/pyproject.toml | 21 +- .../examples/models/contrib/opt/poetry.lock | 264 ++- .../models/contrib/opt/pyproject.toml | 21 +- .../models/contrib/skywork/poetry.lock | 265 ++- .../models/contrib/skywork/pyproject.toml | 23 +- .../examples/models/contrib/smaug/poetry.lock | 265 ++- .../models/contrib/smaug/pyproject.toml | 23 +- .../examples/models/contrib/stdit/poetry.lock | 170 +- .../models/contrib/stdit/pyproject.toml | 35 +- .../examples/models/core/commandr/poetry.lock | 264 ++- .../models/core/commandr/pyproject.toml | 21 +- .../examples/models/core/gemma/poetry.lock | 358 +++- .../examples/models/core/gemma/pyproject.toml | 33 +- .../examples/models/core/glm-4-9b/poetry.lock | 267 ++- .../models/core/glm-4-9b/pyproject.toml | 27 +- .../examples/models/core/gpt/poetry.lock | 265 ++- .../examples/models/core/gpt/pyproject.toml | 23 +- .../models/core/internlm2/poetry.lock | 7 +- .../models/core/internlm2/pyproject.toml | 17 +- .../examples/models/core/llama/poetry.lock | 184 +- .../examples/models/core/llama/pyproject.toml | 25 +- .../examples/models/core/mamba/poetry.lock | 184 +- .../examples/models/core/mamba/pyproject.toml | 25 +- .../examples/models/core/mixtral/poetry.lock | 91 +- .../models/core/mixtral/pyproject.toml | 19 +- .../examples/models/core/mllama/poetry.lock | 117 +- .../models/core/mllama/pyproject.toml | 19 +- .../examples/models/core/nemotron/poetry.lock | 264 ++- .../models/core/nemotron/pyproject.toml | 21 +- .../examples/models/core/phi/poetry.lock | 266 ++- .../examples/models/core/phi/pyproject.toml | 25 +- .../examples/models/core/qwen/poetry.lock | 385 +++- .../examples/models/core/qwen/pyproject.toml | 41 +- .../models/core/qwen2audio/poetry.lock | 271 ++- .../models/core/qwen2audio/pyproject.toml | 31 +- .../examples/models/core/qwenvl/poetry.lock | 460 +++- .../models/core/qwenvl/pyproject.toml | 33 +- .../models/core/recurrentgemma/poetry.lock | 512 +++-- .../models/core/recurrentgemma/pyproject.toml | 34 +- .../examples/models/core/whisper/poetry.lock | 424 +++- .../models/core/whisper/pyproject.toml | 33 +- security_scanning/examples/ngram/poetry.lock | 266 ++- .../examples/ngram/pyproject.toml | 25 +- .../examples/quantization/poetry.lock | 269 ++- .../examples/quantization/pyproject.toml | 25 +- .../examples/ray_orchestrator/poetry.lock | 120 +- .../examples/ray_orchestrator/pyproject.toml | 17 +- .../examples/redrafter/poetry.lock | 265 ++- .../examples/redrafter/pyproject.toml | 23 +- .../scaffolding/contrib/Dynasor/poetry.lock | 13 +- .../contrib/Dynasor/pyproject.toml | 19 +- security_scanning/examples/serve/poetry.lock | 1898 +++++++++++++++-- .../examples/serve/pyproject.toml | 17 +- .../examples/trtllm-eval/poetry.lock | 530 ++++- .../examples/trtllm-eval/pyproject.toml | 17 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 650 ++++-- security_scanning/pyproject.toml | 161 +- .../tests/integration/defs/perf/poetry.lock | 124 +- .../integration/defs/perf/pyproject.toml | 21 +- security_scanning/triton_backend/poetry.lock | 48 +- .../triton_backend/pyproject.toml | 27 +- 115 files changed, 13237 insertions(+), 4285 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index c5e0ba403a74..2796e7232174 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ b/security_scanning/cpp/kernels/fmha_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "attrs" @@ -6,6 +6,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -17,6 +18,7 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -28,6 +30,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -45,6 +49,7 @@ version = "2.1.2" description = "execnet: rapid multi-Python deployment" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "execnet-2.1.2-py3-none-any.whl", hash = "sha256:67fba928dd5a544b783f6056f449e5e3931a5c378b128bc18501f7ea79e296ec"}, {file = "execnet-2.1.2.tar.gz", hash = "sha256:63d83bfdd9a23e35b9c6a3261412324f964c2ec8dcd8d3c6916ee9373e0befcd"}, @@ -59,6 +64,7 @@ version = "2.3.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"}, {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"}, @@ -70,6 +76,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -81,6 +88,7 @@ version = "1.6.0" description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"}, {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"}, @@ -96,6 +104,7 @@ version = "7.2.2" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "pytest-7.2.2-py3-none-any.whl", hash = "sha256:130328f552dcfac0b1cec75c12e3f005619dc5f874f0a06e8ff7263f0ee6225e"}, {file = "pytest-7.2.2.tar.gz", hash = "sha256:c99ab0c73aceb050f68929bc93af19ab6db0558791c6a0715723abe9d0ade9d4"}, @@ -119,6 +128,7 @@ version = "2.3.0" description = "Use pytest's runner to discover and execute C++ tests" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "pytest-cpp-2.3.0.tar.gz", hash = "sha256:37abfa693697940aed2e7c034698188dee3616183ad9b3f764f3b06aeb75ed4a"}, {file = "pytest_cpp-2.3.0-py3-none-any.whl", hash = "sha256:1e9809b0ba8dab4942102274650b3dc5ae22abc2fa4fe46c3da5803b66181164"}, @@ -134,6 +144,7 @@ version = "3.2.1" description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "pytest-xdist-3.2.1.tar.gz", hash = "sha256:1849bd98d8b242b948e472db7478e090bf3361912a8fed87992ed94085f54727"}, {file = "pytest_xdist-3.2.1-py3-none-any.whl", hash = "sha256:37290d161638a20b672401deef1cba812d110ac27e35d213f091d15b8beb40c9"}, @@ -154,6 +165,8 @@ version = "2.4.0" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"}, {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"}, @@ -210,12 +223,14 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "86e8a5637db9664835177096b43d6a39adce5b79d65070b2f6331e1061211931" +content-hash = "c1a33478981dc903de66264835980cb7f88c528a0099da710b14a2753b4a0ca1" diff --git a/security_scanning/cpp/kernels/fmha_v2/pyproject.toml b/security_scanning/cpp/kernels/fmha_v2/pyproject.toml index 96a4ab8d3ad4..b1fccbd2a133 100644 --- a/security_scanning/cpp/kernels/fmha_v2/pyproject.toml +++ b/security_scanning/cpp/kernels/fmha_v2/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -pytest = "7.2.2" -pytest-cpp = "2.3.0" -pytest-xdist = "3.2.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "pytest (==7.2.2)", + "pytest-cpp (==2.3.0)", + "pytest-xdist (==3.2.1)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index dfbd9be33e19..07a1127c1f77 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "accessible-pygments" @@ -6,6 +6,7 @@ version = "0.0.5" description = "A collection of accessible pygments styles" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7"}, {file = "accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872"}, @@ -24,6 +25,7 @@ version = "1.0.0" description = "A light, configurable Sphinx theme" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b"}, {file = "alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e"}, @@ -35,6 +37,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -46,6 +49,7 @@ version = "2.2.0" description = "Seamlessly integrate pydantic models in your Sphinx documentation." optional = false python-versions = "<4.0.0,>=3.8.1" +groups = ["main"] files = [ {file = "autodoc_pydantic-2.2.0-py3-none-any.whl", hash = "sha256:8c6a36fbf6ed2700ea9c6d21ea76ad541b621fbdf16b5a80ee04673548af4d95"}, ] @@ -61,7 +65,7 @@ erdantic = ["erdantic (<2.0)"] linting = ["ruff (>=0.4.0,<0.5.0)"] security = ["pip-audit (>=2.7.2,<3.0.0)"] test = ["coverage (>=7,<8)", "defusedxml (>=0.7.1)", "pytest (>=8.0.0,<9.0.0)", "pytest-sugar (>=1.0.0,<2.0.0)"] -type-checking = ["mypy (>=1.9,<2.0)", "types-docutils (>=0.20,<0.21)", "typing-extensions (>=4.11,<5.0)"] +type-checking = ["mypy (>=1.9,<2.0)", "types-docutils (>=0.20,<0.21)", "typing-extensions (>=4.11,<5.0) ; python_version <= \"3.9\""] [[package]] name = "babel" @@ -69,13 +73,14 @@ version = "2.17.0" description = "Internationalization utilities" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, ] [package.extras] -dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"] +dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""] [[package]] name = "beautifulsoup4" @@ -83,6 +88,7 @@ version = "4.14.3" description = "Screen-scraping library" optional = false python-versions = ">=3.7.0" +groups = ["main"] files = [ {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"}, {file = "beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86"}, @@ -105,6 +111,7 @@ version = "4.36.0" description = "Sphinx Doxygen renderer" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "breathe-4.36.0-py3-none-any.whl", hash = "sha256:af85436f1f09e842bd1fd95617281211c635f8768d245ff830c59b979888d1d5"}, {file = "breathe-4.36.0.tar.gz", hash = "sha256:14860b73118ac140b7a3f55446890c777d1b67149cb024279fe3710dad7f535c"}, @@ -124,6 +131,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -135,6 +143,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -257,6 +266,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -271,6 +281,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "sys_platform == \"win32\" or platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -282,6 +294,7 @@ version = "0.21.2" description = "Docutils -- Python Documentation Utilities" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"}, {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"}, @@ -293,6 +306,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -307,6 +321,7 @@ version = "1.4.1" description = "Getting image size from png/jpeg/jpeg2000/gif file" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["main"] files = [ {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"}, {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"}, @@ -318,6 +333,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -329,36 +345,13 @@ MarkupSafe = ">=2.0" [package.extras] i18n = ["Babel (>=2.7)"] -[[package]] -name = "markdown-it-py" -version = "3.0.0" -description = "Python port of markdown-it. Markdown parsing, done right!" -optional = false -python-versions = ">=3.8" -files = [ - {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, - {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, -] - -[package.dependencies] -mdurl = ">=0.1,<1.0" - -[package.extras] -benchmarking = ["psutil", "pytest", "pytest-benchmark"] -code-style = ["pre-commit (>=3.0,<4.0)"] -compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] -linkify = ["linkify-it-py (>=1,<3)"] -plugins = ["mdit-py-plugins"] -profiling = ["gprof2dot"] -rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] -testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] - [[package]] name = "markupsafe" version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -451,68 +444,13 @@ files = [ {file = "markupsafe-3.0.3.tar.gz", hash = "sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698"}, ] -[[package]] -name = "mdit-py-plugins" -version = "0.5.0" -description = "Collection of plugins for markdown-it-py" -optional = false -python-versions = ">=3.10" -files = [ - {file = "mdit_py_plugins-0.5.0-py3-none-any.whl", hash = "sha256:07a08422fc1936a5d26d146759e9155ea466e842f5ab2f7d2266dd084c8dab1f"}, - {file = "mdit_py_plugins-0.5.0.tar.gz", hash = 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hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d"}, {file = "pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49"}, @@ -551,7 +491,7 @@ typing-inspection = ">=0.4.2" [package.extras] email = ["email-validator (>=2.0.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] [[package]] name = "pydantic-core" @@ -559,6 +499,7 @@ version = "2.41.5" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146"}, {file = "pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2"}, @@ -692,6 +633,7 @@ version = "2.12.0" description = "Settings management using Pydantic" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "pydantic_settings-2.12.0-py3-none-any.whl", hash = "sha256:fddb9fd99a5b18da837b29710391e945b1e30c135477f484084ee513adb93809"}, {file = "pydantic_settings-2.12.0.tar.gz", hash = "sha256:005538ef951e3c2a68e1c08b292b5f2e71490def8589d4221b95dab00dafcfd0"}, @@ -715,6 +657,7 @@ version = "0.16.1" description = "Bootstrap-based Sphinx theme from the PyData community" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydata_sphinx_theme-0.16.1-py3-none-any.whl", hash = "sha256:225331e8ac4b32682c18fcac5a57a6f717c4e632cea5dd0e247b55155faeccde"}, {file = "pydata_sphinx_theme-0.16.1.tar.gz", hash = "sha256:a08b7f0b7f70387219dc659bff0893a7554d5eb39b59d3b8ef37b8401b7642d7"}, @@ -742,6 +685,7 @@ version = "2.19.2" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ 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["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "snowballstemmer" @@ -893,6 +758,7 @@ version = "3.0.1" description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*" +groups = ["main"] files = [ {file = "snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064"}, {file = "snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895"}, @@ -900,13 +766,14 @@ files = [ [[package]] name = "soupsieve" -version = "2.8.1" +version = "2.8.2" description = "A modern CSS selector implementation for Beautiful Soup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ - {file = "soupsieve-2.8.1-py3-none-any.whl", hash = "sha256:a11fe2a6f3d76ab3cf2de04eb339c1be5b506a8a47f2ceb6d139803177f85434"}, - {file = "soupsieve-2.8.1.tar.gz", hash = "sha256:4cf733bc50fa805f5df4b8ef4740fc0e0fa6218cf3006269afd3f9d6d80fd350"}, + {file = "soupsieve-2.8.2-py3-none-any.whl", hash = "sha256:0f4c2f6b5a5fb97a641cf69c0bd163670a0e45e6d6c01a2107f93a6a6f93c51a"}, + {file = "soupsieve-2.8.2.tar.gz", hash = "sha256:78a66b0fdee2ab40b7199dc3e747ee6c6e231899feeaae0b9b98a353afd48fd8"}, ] [[package]] @@ -915,6 +782,7 @@ version = "8.1.3" description = "Python documentation generator" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "sphinx-8.1.3-py3-none-any.whl", hash = "sha256:09719015511837b76bf6e03e42eb7595ac8c2e41eeb9c29c5b755c6b677992a2"}, {file = "sphinx-8.1.3.tar.gz", hash = "sha256:43c1911eecb0d3e161ad78611bc905d1ad0e523e4ddc202a58a821773dc4c927"}, @@ -950,6 +818,7 @@ version = "0.5.2" description = "A sphinx extension that automatically documents argparse commands and options" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "sphinx_argparse-0.5.2-py3-none-any.whl", hash = "sha256:d771b906c36d26dee669dbdbb5605c558d9440247a5608b810f7fa6e26ab1fd3"}, {file = "sphinx_argparse-0.5.2.tar.gz", hash = "sha256:e5352f8fa894b6fb6fda0498ba28a9f8d435971ef4bbc1a6c9c6414e7644f032"}, @@ -971,6 +840,7 @@ version = "6.2.0" description = "Sphinx extension that automatically documents click applications" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "sphinx_click-6.2.0-py3-none-any.whl", hash = "sha256:1fb1851cb4f2c286d43cbcd57f55db6ef5a8d208bfc3370f19adde232e5803d7"}, {file = "sphinx_click-6.2.0.tar.gz", hash = "sha256:fc78b4154a4e5159462e36de55b8643747da6cda86b3b52a8bb62289e603776c"}, @@ -991,6 +861,7 @@ version = "0.5.2" description = "Add a copy button to each of your code cells." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "sphinx-copybutton-0.5.2.tar.gz", hash = "sha256:4cf17c82fb9646d1bc9ca92ac280813a3b605d8c421225fd9913154103ee1fbd"}, {file = "sphinx_copybutton-0.5.2-py3-none-any.whl", hash = "sha256:fb543fd386d917746c9a2c50360c7905b605726b9355cd26e9974857afeae06e"}, @@ -1009,6 +880,7 @@ version = "0.4.4" description = "Toggle page content and collapse admonitions in Sphinx." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "sphinx_togglebutton-0.4.4-py3-none-any.whl", hash = "sha256:820658cd4c4c34c2ee7a21105e638b2f65a9e1d43ee991090715eb7fd9683cdf"}, {file = "sphinx_togglebutton-0.4.4.tar.gz", hash = "sha256:04c332692fd5f5363ad02a001e693369767d6c1f0e58279770a2aeb571b472a1"}, @@ -1029,6 +901,7 @@ version = "2.0.0" description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5"}, {file = "sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1"}, @@ -1045,6 +918,7 @@ version = "2.0.0" description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2"}, {file = "sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad"}, @@ -1061,6 +935,7 @@ version = "2.1.0" description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8"}, {file = "sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9"}, @@ -1077,6 +952,7 @@ version = "1.0.1" description = "A sphinx extension which renders display math in HTML via JavaScript" optional = false python-versions = ">=3.5" +groups = ["main"] files = [ {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"}, {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"}, @@ -1091,6 +967,7 @@ version = "2.0.0" description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb"}, {file = "sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab"}, @@ -1107,6 +984,7 @@ version = "2.0.0" description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331"}, {file = "sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d"}, @@ -1123,6 +1001,8 @@ version = "2.4.0" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "tomli-2.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b5ef256a3fd497d4973c11bf142e9ed78b150d36f5773f1ca6088c230ffc5867"}, {file = "tomli-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5572e41282d5268eb09a697c89a7bee84fae66511f87533a6f88bd2f7b652da9"}, @@ -1179,6 +1059,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1190,6 +1071,7 @@ version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -1204,16 +1086,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "wheel" @@ -1221,6 +1104,7 @@ version = "0.45.1" description = "A built-package format for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, @@ -1230,6 +1114,6 @@ files = [ test = ["pytest (>=6.0.0)", "setuptools (>=65)"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b82072ec62a375be38c6e988944f61d59b6be86e14f52c6ab8296bfa966e2c4d" +content-hash = "256b216c553d4b3ff1043839642f5d3dc9209194e901d7b189a92858a9e40b7a" diff --git a/security_scanning/docs/pyproject.toml b/security_scanning/docs/pyproject.toml index 8312d49c6a72..f72c0f7006ae 100644 --- a/security_scanning/docs/pyproject.toml +++ b/security_scanning/docs/pyproject.toml @@ -1,23 +1,23 @@ -[tool.poetry] +[project] name = "docs" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -sphinx = ">=7.0" -sphinx-argparse = "^0.5.2" -sphinx-click = "^6.2.0" -nvidia-sphinx-theme = "^0.0.9.post1" -myst-parser = "^4.0.1" -breathe = "^4.36.0" -sphinx-copybutton = "^0.5.2" -autodoc-pydantic = "^2.2.0" -sphinx-togglebutton = "^0.4.4" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "sphinx (>=7.0)", + "sphinx-argparse (>=0.5.2,<0.6.0)", + "sphinx-click (>=6.2.0,<7.0.0)", + "nvidia-sphinx-theme (>=0.0.9.post1,<0.0.10)", + "breathe (>=4.36.0,<5.0.0)", + "sphinx-copybutton (>=0.5.2,<0.6.0)", + "autodoc-pydantic (>=2.2.0,<3.0.0)", + "sphinx-togglebutton (>=0.4.4,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 39f655c5e69c..b1c0613b01c3 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "annotated-types" @@ -6,6 +6,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -17,6 +18,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -28,7 +30,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "certifi" @@ -36,6 +38,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -47,6 +50,7 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -58,6 +62,7 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -69,6 +74,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -86,6 +93,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -97,6 +105,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -118,6 +127,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -130,7 +140,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -142,6 +152,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -156,6 +167,7 @@ version = "0.12.0" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65"}, {file = "jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:364f1a7294c91281260364222f535bc427f56d4de1d8ffd718162d21fbbd602e"}, @@ -267,6 +279,7 @@ version = "2.15.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "openai-2.15.0-py3-none-any.whl", hash = "sha256:6ae23b932cd7230f7244e52954daa6602716d6b9bf235401a107af731baea6c3"}, {file = "openai-2.15.0.tar.gz", hash = "sha256:42eb8cbb407d84770633f31bf727d4ffb4138711c670565a41663d9439174fba"}, @@ -294,6 +307,7 @@ version = "2.12.5" description = "Data validation using Python type hints" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d"}, {file = "pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49"}, @@ -307,7 +321,7 @@ typing-inspection = ">=0.4.2" [package.extras] email = ["email-validator (>=2.0.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] [[package]] name = "pydantic-core" @@ -315,6 +329,7 @@ version = "2.41.5" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146"}, {file = "pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2"}, @@ -448,6 +463,7 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, @@ -459,6 +475,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -480,6 +497,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -491,6 +509,7 @@ version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -500,6 +519,6 @@ files = [ typing-extensions = ">=4.12.0" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "4d09b18835ad0cb74005884bc535050f57692c13a541d0499547a5cc5b3d5b7f" +content-hash = "547f9399477ef02247ec5634a803086528f563f298609ce925b44742c64a843b" diff --git a/security_scanning/examples/apps/pyproject.toml b/security_scanning/examples/apps/pyproject.toml index 5fcc0a6612bb..4408b416f672 100644 --- a/security_scanning/examples/apps/pyproject.toml +++ b/security_scanning/examples/apps/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "apps-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -colorama = "^0.4.6" -openai = ">=1.57.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "colorama (>=0.4.6,<0.5.0)", + "openai (>=1.57.2)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index e539ec001b85..b11c8c5c79d3 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "1.12.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" +groups = ["main"] files = [ {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, @@ -49,6 +51,7 @@ version = "0.1.31" description = "A modern model graph visualizer and debugger" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ai_edge_model_explorer-0.1.31-py3-none-any.whl", hash = "sha256:746ada4952a43927302158fb2cc11f160cc24e6181ab111b95c236a3066291b6"}, {file = "ai_edge_model_explorer-0.1.31.tar.gz", hash = "sha256:8d2e91c16f331fe77eb8059f9fdb004d2e412e82e84706580ebdcddfcb4d145f"}, @@ -73,6 +76,8 @@ version = "0.1.14" description = "Model Explorer offers an intuitive and hierarchical visualization of model graphs." optional = false python-versions = "*" +groups = ["main"] +markers = "sys_platform != \"win32\"" files = [ {file = "ai_edge_model_explorer_adapter-0.1.14-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:6e7f51aa652ba856554a510b35d2492ddd4a70a1b46349dc6bbd1c51f1164cd0"}, {file = "ai_edge_model_explorer_adapter-0.1.14-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:3c91b2442c1582c5e0f47702026223febc31453929008c531b4f148723f89b49"}, @@ -97,6 +102,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -108,6 +114,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -242,7 +249,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -250,6 +257,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -265,6 +273,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -276,7 +285,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "asttokens" @@ -284,6 +293,7 @@ version = "3.0.1" description = "Annotate AST trees with source code positions" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a"}, {file = "asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7"}, @@ -299,6 +309,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -310,6 +322,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -321,6 +334,7 @@ version = "1.9.0" description = "Fast, simple object-to-object and broadcast signaling" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"}, {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"}, @@ -332,6 +346,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -343,6 +358,7 @@ version = "5.2.0" description = "Universal encoding detector for Python 3" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"}, {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"}, @@ -354,6 +370,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -476,6 +493,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -490,6 +508,7 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -501,6 +520,7 @@ version = "1.9.2" description = "Simple creation of data classes from dictionaries." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "dacite-1.9.2-py3-none-any.whl", hash = "sha256:053f7c3f5128ca2e9aceb66892b1a3c8936d02c686e707bee96e19deef4bc4a0"}, {file = "dacite-1.9.2.tar.gz", hash = "sha256:6ccc3b299727c7aa17582f0021f6ae14d5de47c7227932c47fec4cdfefd26f09"}, @@ -515,6 +535,7 @@ version = "1.1.0" description = "Python library for extract property from data." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "DataProperty-1.1.0-py3-none-any.whl", hash = "sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b"}, {file = "dataproperty-1.1.0.tar.gz", hash = "sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04"}, @@ -534,6 +555,7 @@ version = "4.5.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "datasets-4.5.0-py3-none-any.whl", hash = "sha256:b5d7e08096ffa407dd69e58b1c0271c9b2506140839b8d99af07375ad31b6726"}, {file = "datasets-4.5.0.tar.gz", hash = "sha256:00c698ce1c2452e646cc5fad47fef39d3fe78dd650a8a6eb205bb45eb63cd500"}, @@ -558,7 +580,7 @@ xxhash = "*" [package.extras] audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] nibabel = ["ipyniivue (==2.4.2)", "nibabel (>=5.3.2)"] @@ -566,8 +588,8 @@ pdfs = ["pdfplumber (>=0.11.4)"] quality = ["ruff (>=0.3.0)"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -577,6 +599,7 @@ version = "5.2.1" description = "Decorators for Humans" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, @@ -588,6 +611,7 @@ version = "0.4.0" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049"}, {file = "dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0"}, @@ -603,6 +627,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -611,7 +636,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -638,6 +663,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -655,13 +682,14 @@ version = "2.2.1" description = "Get the currently executing AST node of a frame, and other information" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"}, {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"}, ] [package.extras] -tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""] [[package]] name = "filelock" @@ -669,6 +697,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -680,6 +709,7 @@ version = "3.1.2" description = "A simple framework for building complex web applications." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "flask-3.1.2-py3-none-any.whl", hash = "sha256:ca1d8112ec8a6158cc29ea4858963350011b5c846a414cdb7a954aa9e967d03c"}, {file = "flask-3.1.2.tar.gz", hash = "sha256:bf656c15c80190ed628ad08cdfd3aaa35beb087855e2f494910aa3774cc4fd87"}, @@ -703,6 +733,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -842,6 +873,7 @@ version = "2025.10.0" description = "File-system specification" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"}, {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"}, @@ -875,7 +907,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -884,6 +916,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -895,6 +928,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -929,6 +964,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -950,6 +986,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -962,7 +999,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -974,6 +1011,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -990,16 +1028,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -1012,6 +1050,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -1026,6 +1065,7 @@ version = "8.38.0" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"}, {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"}, @@ -1047,7 +1087,7 @@ typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} [package.extras] all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing_extensions"] +doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"] kernel = ["ipykernel"] matplotlib = ["matplotlib"] nbconvert = ["nbconvert"] @@ -1064,6 +1104,7 @@ version = "2.2.0" description = "Safely pass data to untrusted environments and back." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"}, {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"}, @@ -1075,6 +1116,7 @@ version = "0.19.2" description = "An autocompletion tool for Python that can be used for text editors." optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, @@ -1094,6 +1136,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1111,6 +1154,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -1122,6 +1166,7 @@ version = "4.0.0" description = "Library with helpers for the jsonlines file format" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"}, {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"}, @@ -1136,6 +1181,7 @@ version = "0.4.5" description = "A framework for evaluating language models" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lm_eval-0.4.5-py3-none-any.whl", hash = "sha256:f7606e07272a960b7d3fc08c2c62afdeaf0e31269ab2e0358c838b8eaf323879"}, {file = "lm_eval-0.4.5.tar.gz", hash = "sha256:f5c28b6fdb838bd052037419addbf14b8de47e786390dd98fbfbf8e23c1b6155"}, @@ -1194,6 +1240,7 @@ version = "6.0.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388"}, {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153"}, @@ -1349,6 +1396,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1447,6 +1495,7 @@ version = "0.2.1" description = "Inline Matplotlib backend for Jupyter" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76"}, {file = "matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe"}, @@ -1464,6 +1513,7 @@ version = "1.1.4" description = "mbstrdecoder is a Python library for multi-byte character string decoder" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "mbstrdecoder-1.1.4-py3-none-any.whl", hash = "sha256:03dae4ec50ec0d2ff4743e63fdbd5e0022815857494d35224b60775d3d934a8c"}, {file = "mbstrdecoder-1.1.4.tar.gz", hash = "sha256:8105ef9cf6b7d7d69fe7fd6b68a2d8f281ca9b365d7a9b670be376b2e6c81b21"}, @@ -1481,6 +1531,7 @@ version = "10.8.0" description = "More routines for operating on iterables, beyond itertools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "more_itertools-10.8.0-py3-none-any.whl", hash = "sha256:52d4362373dcf7c52546bc4af9a86ee7c4579df9a8dc268be0a2f949d376cc9b"}, {file = "more_itertools-10.8.0.tar.gz", hash = "sha256:f638ddf8a1a0d134181275fb5d58b086ead7c6a72429ad725c67503f13ba30bd"}, @@ -1492,6 +1543,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -1500,7 +1552,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -1509,6 +1561,7 @@ version = "6.7.0" description = "multidict implementation" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "multidict-6.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:9f474ad5acda359c8758c8accc22032c6abe6dc87a8be2440d097785e27a9349"}, {file = "multidict-6.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b7a9db5a870f780220e931d0002bbfd88fb53aceb6293251e2c839415c1b20e"}, @@ -1667,6 +1720,7 @@ version = "0.70.18" description = "better multiprocessing and multithreading in Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "multiprocess-0.70.18-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:25d4012dcaaf66b9e8e955f58482b42910c2ee526d532844d8bcf661bbc604df"}, {file = "multiprocess-0.70.18-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:06b19433de0d02afe5869aec8931dd5c01d99074664f806c73896b0d9e527213"}, @@ -1698,6 +1752,8 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -1711,12 +1767,37 @@ example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"] test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"] +[[package]] +name = "networkx" +version = "3.6.1" +description = "Python package for creating and manipulating graphs and networks" +optional = false +python-versions = "!=3.14.1,>=3.11" +groups = ["main"] +markers = "python_version >= \"3.11\"" +files = [ + {file = "networkx-3.6.1-py3-none-any.whl", hash = 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for easy usage" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "portalocker-3.2.0-py3-none-any.whl", hash = "sha256:3cdc5f565312224bc570c49337bd21428bba0ef363bbcf58b9ef4a9f11779968"}, {file = "portalocker-3.2.0.tar.gz", hash = "sha256:1f3002956a54a8c3730586c5c77bf18fae4149e07eaf1c29fc3faf4d5a3f89ac"}, @@ -2269,6 +2390,7 @@ version = "1.6.0" description = "A library to choose unique available network ports." optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "portpicker-1.6.0-py3-none-any.whl", hash = "sha256:b2787a41404cf7edbe29b07b9e0ed863b09f2665dcc01c1eb0c2261c1e7d0755"}, {file = "portpicker-1.6.0.tar.gz", hash = "sha256:bd507fd6f96f65ee02781f2e674e9dc6c99bbfa6e3c39992e3916204c9d431fa"}, @@ -2283,6 +2405,7 @@ version = "3.0.52" description = "Library for building powerful interactive command lines in Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = 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"Filesystem events monitoring" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"}, {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"}, @@ -3714,6 +4028,7 @@ version = "0.2.14" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1"}, {file = "wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605"}, @@ -3725,6 +4040,7 @@ version = "3.1.5" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "werkzeug-3.1.5-py3-none-any.whl", hash = "sha256:5111e36e91086ece91f93268bb39b4a35c1e6f1feac762c9c822ded0a4e322dc"}, {file = "werkzeug-3.1.5.tar.gz", hash = "sha256:6a548b0e88955dd07ccb25539d7d0cc97417ee9e179677d22c7041c8f078ce67"}, @@ -3742,6 +4058,7 @@ version = "1.1" description = "Convert number words eg. three hundred and forty two to numbers (342)." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "word2number-1.1.zip", hash = "sha256:70e27a5d387f67b04c71fbb7621c05930b19bfd26efd6851e6e0f9969dcde7d0"}, ] @@ -3752,6 +4069,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3901,6 +4219,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -4045,6 +4364,7 @@ version = "0.25.0" description = "Zstandard bindings for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zstandard-0.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e59fdc271772f6686e01e1b3b74537259800f57e24280be3f29c8a0deb1904dd"}, {file = "zstandard-0.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4d441506e9b372386a5271c64125f72d5df6d2a8e8a2a45a0ae09b03cb781ef7"}, @@ -4148,9 +4468,9 @@ files = [ ] [package.extras] -cffi = ["cffi (>=1.17,<2.0)", "cffi (>=2.0.0b)"] +cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b0) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "e23104d169dc51aa6fff3932d0869aced53a9348fdf3df7518cbd8c53c7facff" +content-hash = "570dc00b95d6ae9c534e6b3516ed6d81ef627004182467db00d1f5954d07188a" diff --git a/security_scanning/examples/auto_deploy/pyproject.toml b/security_scanning/examples/auto_deploy/pyproject.toml index f319c8f6b2f6..cd1e96985ea5 100644 --- a/security_scanning/examples/auto_deploy/pyproject.toml +++ b/security_scanning/examples/auto_deploy/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "auto-deploy-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -ai-edge-model-explorer = ">=0.1.14" -lm-eval = {version = "0.4.5", extras = ["api"]} +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "ai-edge-model-explorer (>=0.1.14)", + "lm-eval[api] (==0.4.5)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 81a211d91cf5..5aa7d009098a 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -504,6 +523,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -643,6 +663,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "24cdc2fcd697c95206d488c7e95a21f441d72dafce3a8fa5015c51273af83c00" diff --git a/security_scanning/examples/draft_target_model/pyproject.toml b/security_scanning/examples/draft_target_model/pyproject.toml index 4d41c0ff6888..93c86a5a4195 100644 --- a/security_scanning/examples/draft_target_model/pyproject.toml +++ b/security_scanning/examples/draft_target_model/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "draft-target-model-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 49eedf917f23..a95bf2888fad 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1805,6 +1937,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1816,6 +1949,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1827,16 +1961,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1844,6 +1979,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1993,6 +2129,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2132,6 +2269,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "8ac7e71712b0a79b91316344f0e4717092e08faf4b39eaa2150ea59c331a7450" +content-hash = "48b6d365cc1f5c60f3027764bf1d158dce37abdf2f71d7dab9be2b191d22fa1c" diff --git a/security_scanning/examples/eagle/pyproject.toml b/security_scanning/examples/eagle/pyproject.toml index 33704665573a..228dc1541084 100644 --- a/security_scanning/examples/eagle/pyproject.toml +++ b/security_scanning/examples/eagle/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "eagle-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99,<0.2.0" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99,<0.2.0)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 980b9a1492b9..5d195256b14b 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "1.12.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" +groups = ["main"] files = [ {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, @@ -49,6 +51,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -60,6 +63,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -194,7 +198,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -202,6 +206,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -217,6 +222,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -228,7 +234,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -236,6 +242,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -247,6 +255,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -258,6 +267,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -269,6 +279,7 @@ version = "5.2.0" description = "Universal encoding detector for Python 3" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"}, {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"}, @@ -280,6 +291,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -402,6 +414,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -416,6 +429,7 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -427,6 +441,7 @@ version = "1.1.0" description = "Python library for extract property from data." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "DataProperty-1.1.0-py3-none-any.whl", hash = "sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b"}, {file = "dataproperty-1.1.0.tar.gz", hash = "sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04"}, @@ -446,6 +461,7 @@ version = "4.5.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "datasets-4.5.0-py3-none-any.whl", hash = "sha256:b5d7e08096ffa407dd69e58b1c0271c9b2506140839b8d99af07375ad31b6726"}, {file = "datasets-4.5.0.tar.gz", hash = "sha256:00c698ce1c2452e646cc5fad47fef39d3fe78dd650a8a6eb205bb45eb63cd500"}, @@ -470,7 +486,7 @@ xxhash = "*" [package.extras] audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] nibabel = ["ipyniivue (==2.4.2)", "nibabel (>=5.3.2)"] @@ -478,8 +494,8 @@ pdfs = ["pdfplumber (>=0.11.4)"] quality = ["ruff (>=0.3.0)"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -489,6 +505,7 @@ version = "0.4.0" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049"}, {file = "dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0"}, @@ -504,6 +521,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -512,7 +530,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -539,6 +557,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -556,6 +576,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -567,6 +588,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -706,6 +728,7 @@ version = "2025.10.0" description = "File-system specification" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"}, {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"}, @@ -739,7 +762,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -748,6 +771,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -759,6 +783,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -793,6 +819,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -814,6 +841,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -826,7 +854,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -838,6 +866,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -854,16 +883,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -876,6 +905,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -890,6 +920,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -907,6 +938,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -918,6 +950,7 @@ version = "4.0.0" description = "Library with helpers for the jsonlines file format" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"}, {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"}, @@ -932,6 +965,7 @@ version = "0.4.7" description = "A framework for evaluating language models" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lm_eval-0.4.7-py3-none-any.whl", hash = "sha256:d84a52580468fdc1d812e511db36e86679b69ee27f5a5e3dbd50f233d0bec69f"}, {file = "lm_eval-0.4.7.tar.gz", hash = "sha256:dcbef8722f363f58cfba36b6d783fc6bb17924b24b8da1684bf1ac835866208d"}, @@ -993,6 +1027,7 @@ version = "6.0.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388"}, {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153"}, @@ -1148,6 +1183,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1246,6 +1282,7 @@ version = "1.1.4" description = "mbstrdecoder is a Python library for multi-byte character string decoder" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "mbstrdecoder-1.1.4-py3-none-any.whl", hash = "sha256:03dae4ec50ec0d2ff4743e63fdbd5e0022815857494d35224b60775d3d934a8c"}, {file = "mbstrdecoder-1.1.4.tar.gz", hash = "sha256:8105ef9cf6b7d7d69fe7fd6b68a2d8f281ca9b365d7a9b670be376b2e6c81b21"}, @@ -1263,6 +1300,7 @@ version = "10.8.0" description = "More routines for operating on iterables, beyond itertools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "more_itertools-10.8.0-py3-none-any.whl", hash = "sha256:52d4362373dcf7c52546bc4af9a86ee7c4579df9a8dc268be0a2f949d376cc9b"}, {file = "more_itertools-10.8.0.tar.gz", hash = "sha256:f638ddf8a1a0d134181275fb5d58b086ead7c6a72429ad725c67503f13ba30bd"}, @@ -1274,6 +1312,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = 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["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "six" @@ -2817,6 +3169,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -2828,6 +3181,7 @@ version = "2.1.0" description = "Persistent dict in Python, backed up by sqlite3 and pickle, multithread-safe." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "sqlitedict-2.1.0.tar.gz", hash = "sha256:03d9cfb96d602996f1d4c2db2856f1224b96a9c431bdd16e78032a72940f9e8c"}, ] @@ -2838,6 +3192,7 @@ version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -2855,6 +3210,7 @@ version = "1.3.4" description = "tabledata is a Python library to represent tabular data. Used for pytablewriter/pytablereader/SimpleSQLite/etc." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tabledata-1.3.4-py3-none-any.whl", hash = "sha256:1f56e433bfdeb89f4487abfa48c4603a3b07c5d3a3c7e05ff73dd018c24bd0d4"}, {file = "tabledata-1.3.4.tar.gz", hash = "sha256:e9649cab129d718f3bff4150083b77f8a78c30f6634a30caf692b10fdc60cb97"}, @@ -2874,6 +3230,7 @@ version = "0.9.0" description = "Pretty-print tabular data" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, @@ -2888,6 +3245,7 @@ version = "0.1.7" description = "tcolopy is a Python library to apply true color for terminal text." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tcolorpy-0.1.7-py3-none-any.whl", hash = "sha256:26a59d52027e175a37e0aba72efc99dda43f074db71f55b316d3de37d3251378"}, {file = "tcolorpy-0.1.7.tar.gz", hash = "sha256:0fbf6bf238890bbc2e32662aa25736769a29bf6d880328f310c910a327632614"}, @@ -2902,6 +3260,7 @@ version = "9.1.2" description = "Retry code until it succeeds" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, @@ -2917,6 +3276,7 @@ version = "3.6.0" description = "threadpoolctl" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, @@ -2928,6 +3288,7 @@ version = "0.12.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -3001,6 +3362,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -3042,6 +3404,7 @@ version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -3109,6 +3472,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -3130,6 +3494,7 @@ version = "0.0.11" description = "Easy multiprocessing with tqdm and logging redirected to main process." optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "tqdm-multiprocess-0.0.11.tar.gz", hash = "sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7"}, {file = "tqdm_multiprocess-0.0.11-py3-none-any.whl", hash = "sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa"}, @@ -3144,13 +3509,14 @@ dev = ["twine"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -3222,6 +3588,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -3250,6 +3618,7 @@ version = "1.3.4" description = "typepy is a Python library for variable type checker/validator/converter at a run time." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typepy-1.3.4-py3-none-any.whl", hash = "sha256:d5ed3e0c7f49521bff0603dd08cf8d453371cf68d65a29d3d0038552ccc46e2e"}, {file = "typepy-1.3.4.tar.gz", hash = "sha256:89c1f66de6c6133209c43a94d23431d320ba03ef5db18f241091ea594035d9de"}, @@ -3271,6 +3640,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -3282,6 +3652,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -3293,16 +3664,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "word2number" @@ -3310,6 +3682,7 @@ version = "1.1" description = "Convert number words eg. three hundred and forty two to numbers (342)." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "word2number-1.1.zip", hash = "sha256:70e27a5d387f67b04c71fbb7621c05930b19bfd26efd6851e6e0f9969dcde7d0"}, ] @@ -3320,6 +3693,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3469,6 +3843,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3613,6 +3988,7 @@ version = "0.25.0" description = "Zstandard bindings for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zstandard-0.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e59fdc271772f6686e01e1b3b74537259800f57e24280be3f29c8a0deb1904dd"}, {file = "zstandard-0.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4d441506e9b372386a5271c64125f72d5df6d2a8e8a2a45a0ae09b03cb781ef7"}, @@ -3716,9 +4092,9 @@ files = [ ] [package.extras] -cffi = ["cffi (>=1.17,<2.0)", "cffi (>=2.0.0b)"] +cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b0) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "9a089e6e7897e91b2e789baa9f30183194b6d8cabf21bef9193f374fb75ad137" +content-hash = "9b21a24bd320b638cb4343da8c7beeda0064fec50232199eb2a2796b011deac6" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/pyproject.toml b/security_scanning/examples/llm-eval/lm-eval-harness/pyproject.toml index 3b6a921df224..3c6eca5cb5ee 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/pyproject.toml +++ b/security_scanning/examples/llm-eval/lm-eval-harness/pyproject.toml @@ -1,15 +1,16 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -lm-eval = {version = "0.4.7", extras = ["api"]} +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "lm-eval[api] (==0.4.7)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/longbench/poetry.lock b/security_scanning/examples/longbench/poetry.lock index 5f736027c2ff..15375f8710a2 100644 --- a/security_scanning/examples/longbench/poetry.lock +++ b/security_scanning/examples/longbench/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "fuzzywuzzy" @@ -6,6 +6,7 @@ version = "0.18.0" description = "Fuzzy string matching in python" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "fuzzywuzzy-0.18.0-py2.py3-none-any.whl", hash = "sha256:928244b28db720d1e0ee7587acf660ea49d7e4c632569cad4f1cd7e68a5f0993"}, {file = "fuzzywuzzy-0.18.0.tar.gz", hash = "sha256:45016e92264780e58972dca1b3d939ac864b78437422beecebb3095f8efd00e8"}, @@ -20,6 +21,7 @@ version = "0.42.1" description = "Chinese Words Segmentation Utilities" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "jieba-0.42.1.tar.gz", hash = "sha256:055ca12f62674fafed09427f176506079bc135638a14e23e25be909131928db2"}, ] @@ -30,6 +32,7 @@ version = "1.0.1" description = "Full Python ROUGE Score Implementation (not a wrapper)" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "rouge-1.0.1-py3-none-any.whl", hash = "sha256:28d118536e8c774dc47d1d15ec266479b4dd0914c4672ce117d4002789bdc644"}, {file = "rouge-1.0.1.tar.gz", hash = "sha256:12b48346ca47d6bcf3c45061f315452b9ccec0620ee895ec85b7efc3d54aae34"}, @@ -44,12 +47,13 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "e9c4183aae1a1f26f6db7e20b8e17adc6cb42f08e4686fe044616df4244a1063" +content-hash = "7dff1a515b2d49d6deec3a6c47a544d60e9427ad72db58c6b479db68dcebed4a" diff --git a/security_scanning/examples/longbench/pyproject.toml b/security_scanning/examples/longbench/pyproject.toml index 7c36288a8333..6af1eb3d6d68 100644 --- a/security_scanning/examples/longbench/pyproject.toml +++ b/security_scanning/examples/longbench/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "longbench-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -jieba = "^0.42.1" -fuzzywuzzy = "^0.18.0" -rouge = "^1.0.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "jieba (>=0.42.1,<0.43.0)", + "fuzzywuzzy (>=0.18.0,<0.19.0)", + "rouge (>=1.0.1,<2.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 81a211d91cf5..5aa7d009098a 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "24cdc2fcd697c95206d488c7e95a21f441d72dafce3a8fa5015c51273af83c00" diff --git a/security_scanning/examples/lookahead/pyproject.toml b/security_scanning/examples/lookahead/pyproject.toml index 110b81618644..ed70cd56180b 100644 --- a/security_scanning/examples/lookahead/pyproject.toml +++ b/security_scanning/examples/lookahead/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "lookahead-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 81a211d91cf5..5aa7d009098a 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "24cdc2fcd697c95206d488c7e95a21f441d72dafce3a8fa5015c51273af83c00" diff --git a/security_scanning/examples/medusa/pyproject.toml b/security_scanning/examples/medusa/pyproject.toml index 16e25fae54e8..5af99e69e5d0 100644 --- a/security_scanning/examples/medusa/pyproject.toml +++ b/security_scanning/examples/medusa/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "medusa-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 41ea4f83bd1d..863d0e7bb997 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "1.0.11" description = "CPM CUDA kernels" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "cpm_kernels-1.0.11-py3-none-any.whl", hash = "sha256:eab7f211f3b3f6a0686ded4c15cd7d9158393cdf69a931fa5b96a5fbcd366822"}, ] @@ -394,6 +408,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -416,17 +431,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -436,6 +451,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -451,6 +467,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -459,7 +476,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -486,6 +503,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.5" +groups = ["main"] files = [ {file = "transformers-stream-generator-0.0.5.tar.gz", hash = "sha256:271deace0abf9c0f83b36db472c8ba61fdc7b04d1bf89d845644acac2795ed57"}, ] @@ -1987,6 +2123,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -2005,6 +2142,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -2016,6 +2154,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -2027,16 +2166,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2044,6 +2184,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2193,6 +2334,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2332,6 +2474,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "95d79026198e435125c4b406b2dbe6d08c4caed76cd2b3d48f9976d43fb06a46" +content-hash = "d2cd39ae94c40c451d3a8528f47c2c2ef649ad188de8d1fd1fbc43e988088be6" diff --git a/security_scanning/examples/models/contrib/baichuan/pyproject.toml b/security_scanning/examples/models/contrib/baichuan/pyproject.toml index 008a27edc04e..8cf797362d98 100644 --- a/security_scanning/examples/models/contrib/baichuan/pyproject.toml +++ b/security_scanning/examples/models/contrib/baichuan/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -cpm-kernels = ">=1.0.11,<1.1.0" -transformers-stream-generator = ">=0.0.4,<0.1.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "cpm-kernels (>=1.0.11,<1.1.0)", + "transformers-stream-generator (>=0.0.4,<0.1.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 81a211d91cf5..4b16a3fb4b51 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "09a90aee92909874a9141a92032b89a82cef48f8fcd27e5513d3157ab9f87989" diff --git a/security_scanning/examples/models/contrib/bloom/pyproject.toml b/security_scanning/examples/models/contrib/bloom/pyproject.toml index d830794da159..97e0a7d76e0e 100644 --- a/security_scanning/examples/models/contrib/bloom/pyproject.toml +++ b/security_scanning/examples/models/contrib/bloom/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index ab546c3327d2..025618e85f1a 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -1882,6 +2014,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1903,6 +2036,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1921,6 +2055,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1932,6 +2067,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1943,16 +2079,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1960,6 +2097,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2109,6 +2247,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2248,6 +2387,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "bf6a96af9261adc148861445f3cdd4f60203a00406866477e5813dd70960ed55" +content-hash = "a85db02eef4a5a974be814cff7c8abd91ad2c3dac84dcf34f34cc4477f7dabfd" diff --git a/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml b/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml index 7432e52e2da2..8c9571994650 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml +++ b/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -protobuf = "^6.33.4" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" -tiktoken = "^0.12.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "protobuf (>=6.33.4,<7.0.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)", + "tiktoken (>=0.12.0,<0.13.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index ab546c3327d2..025618e85f1a 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -1882,6 +2014,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1903,6 +2036,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1921,6 +2055,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1932,6 +2067,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1943,16 +2079,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1960,6 +2097,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2109,6 +2247,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2248,6 +2387,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "bf6a96af9261adc148861445f3cdd4f60203a00406866477e5813dd70960ed55" +content-hash = "a85db02eef4a5a974be814cff7c8abd91ad2c3dac84dcf34f34cc4477f7dabfd" diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/pyproject.toml b/security_scanning/examples/models/contrib/chatglm2-6b/pyproject.toml index 7432e52e2da2..8c9571994650 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/pyproject.toml +++ b/security_scanning/examples/models/contrib/chatglm2-6b/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -protobuf = "^6.33.4" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" -tiktoken = "^0.12.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "protobuf (>=6.33.4,<7.0.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)", + "tiktoken (>=0.12.0,<0.13.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index ab546c3327d2..025618e85f1a 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", 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tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -1882,6 +2014,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1903,6 +2036,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1921,6 +2055,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1932,6 +2067,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1943,16 +2079,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1960,6 +2097,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2109,6 +2247,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2248,6 +2387,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "bf6a96af9261adc148861445f3cdd4f60203a00406866477e5813dd70960ed55" +content-hash = "a85db02eef4a5a974be814cff7c8abd91ad2c3dac84dcf34f34cc4477f7dabfd" diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/pyproject.toml b/security_scanning/examples/models/contrib/chatglm3-6b-32k/pyproject.toml index 7432e52e2da2..8c9571994650 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/pyproject.toml +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -protobuf = "^6.33.4" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" -tiktoken = "^0.12.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "protobuf (>=6.33.4,<7.0.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)", + "tiktoken (>=0.12.0,<0.13.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 8a83e11b80c6..cd2d3e4541ab 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1803,6 +1935,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1814,6 +1947,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1825,16 +1959,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1842,6 +1977,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1991,6 +2127,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2130,6 +2267,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "9abb45c4a6376a4ca21604219f3994d43038348600c5182ac7f9609d786507d6" +content-hash = "ad87495371de46c52cb2040c7605407e7d8702447ff30d3bd747842ced2045c6" diff --git a/security_scanning/examples/models/contrib/dbrx/pyproject.toml b/security_scanning/examples/models/contrib/dbrx/pyproject.toml index 22375595d604..b7c9a3cd34d5 100644 --- a/security_scanning/examples/models/contrib/dbrx/pyproject.toml +++ b/security_scanning/examples/models/contrib/dbrx/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -tiktoken = "0.6.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "tiktoken (==0.6.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/contrib/deepseek_v1/pyproject.toml b/security_scanning/examples/models/contrib/deepseek_v1/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/pyproject.toml +++ b/security_scanning/examples/models/contrib/deepseek_v1/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index 47ce307cb286..b1e8fb0e7c51 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "a6b185263d92facc8b9eb0a05ebcb9caee9718c0bf64cff76c50c969539f8e47" +content-hash = "702d6b473422144816627f04095c4a006000e8ee65e58b756b28a16ba60447fd" diff --git a/security_scanning/examples/models/contrib/deepseek_v2/pyproject.toml b/security_scanning/examples/models/contrib/deepseek_v2/pyproject.toml index 1a5100944bda..c60df0a80d29 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/pyproject.toml +++ b/security_scanning/examples/models/contrib/deepseek_v2/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = ">=0.4.1,<0.5.0" -rouge-score = ">=0.1.2,<0.2.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.1,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index d4d57d3cf029..8e8eb4f0dcde 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -196,6 +202,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -207,6 +214,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -218,6 +226,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -340,6 +349,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -354,6 +364,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -365,6 +377,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -387,17 +400,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -407,6 +420,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -422,6 +436,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -607,6 +624,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -649,6 +667,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or 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"sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -1872,6 +1915,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1883,6 +1927,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1894,16 +1939,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1911,6 +1957,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2060,6 +2107,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2199,6 +2247,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "25f748707c1549750a08a3705ae10e58c38dd5139686de4660febf611ba8802a" +content-hash = "f4f7f149b67a405fbb30d8cde4e95adfa937a1aada7f8bf670445dc151d1c3bb" diff --git a/security_scanning/examples/models/contrib/falcon/pyproject.toml b/security_scanning/examples/models/contrib/falcon/pyproject.toml index 31d77f72acfe..062a73b43a21 100644 --- a/security_scanning/examples/models/contrib/falcon/pyproject.toml +++ b/security_scanning/examples/models/contrib/falcon/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -transformers = ">=4.56.0" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -tqdm = "^4.67.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "transformers (>=4.56.0)", + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "tqdm (>=4.67.1,<5.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/contrib/gptj/pyproject.toml b/security_scanning/examples/models/contrib/gptj/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/contrib/gptj/pyproject.toml +++ b/security_scanning/examples/models/contrib/gptj/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 6656d47b81f5..5969b7f19b51 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "463880905d53bd8c9f30b3ac77bd32fc6143bcf233fdf0d30701b00c7ffca1ee" diff --git a/security_scanning/examples/models/contrib/gptneox/pyproject.toml b/security_scanning/examples/models/contrib/gptneox/pyproject.toml index a8d9896cbdef..cc6a1943bfca 100644 --- a/security_scanning/examples/models/contrib/gptneox/pyproject.toml +++ b/security_scanning/examples/models/contrib/gptneox/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 86cdbb419be2..b7661745c86b 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "0.1.90" description = "Chex: Testing made fun, in JAX!" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae"}, {file = "chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c"}, @@ -379,6 +390,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -393,6 +405,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -404,6 +418,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -426,17 +441,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -446,6 +461,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -461,6 +477,7 @@ version = "0.0.12" description = "Haiku is a library for building neural networks in JAX." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "dm-haiku-0.0.12.tar.gz", hash = "sha256:ba0b3acf71433156737fe342c486da11727e5e6c9e054245f4f9b8f0b53eb608"}, {file = "dm_haiku-0.0.12-py3-none-any.whl", hash = "sha256:7448a43a6486bff95253f84e18eacc607d9c1256592573117a9d1d23e2780706"}, @@ -482,6 +499,7 @@ version = "1.13.0" description = "Collection of common python utils" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -490,7 +508,7 @@ files = [ [package.dependencies] fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""} -typing_extensions = {version = "*", optional = true, markers = "extra == \"epy\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} zipp = {version = "*", optional = true, markers = "extra == \"epath\""} [package.extras] @@ -519,6 +537,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -527,7 +546,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -554,6 +573,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -571,6 +592,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -582,6 +604,7 @@ version = "0.10.4" description = "Flax: A neural network library for JAX designed for flexibility" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "flax-0.10.4-py3-none-any.whl", hash = "sha256:8cc83d91654ff943909730e02e858b4cd4577531373f83abe6597c58c581032d"}, {file = "flax-0.10.4.tar.gz", hash = "sha256:57ae44d3f111fc85cff9049adb9684ce8ebd44e87bd8ca776ed52422c2d85021"}, @@ -592,7 +615,7 @@ jax = ">=0.4.27" msgpack = "*" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, ] optax = "*" orbax-checkpoint = "*" @@ -606,7 +629,7 @@ typing_extensions = ">=4.2" all = ["matplotlib"] dev = ["pre-commit (>=3.8.0)"] docs = ["Pygments (>=2.6.1)", "dm-haiku", "docutils (==0.16)", "einops", "ipykernel", "ipython_genutils", "ipywidgets (>=8.1.5)", "jupytext (==1.13.8)", "kagglehub (>=0.3.3)", "matplotlib", "ml_collections", "myst_nb", "nbstripout", "recommonmark", "scikit-learn", "sphinx (>=3.3.1)", "sphinx-book-theme", "sphinx-design"] -testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0)", "torch", "treescope (>=0.1.1)"] +testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6.dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0) ; platform_system != \"Darwin\"", "torch", "treescope (>=0.1.1) ; python_version >= \"3.10\""] [[package]] name = "frozenlist" @@ -614,6 +637,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -753,6 +777,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -795,6 +820,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -806,6 +832,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -840,6 +868,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -861,6 +890,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -873,7 +903,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -885,6 +915,7 @@ version = "1.3.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, @@ -920,6 +951,7 @@ version = "4.15.0" description = "Python humanize utilities" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "humanize-4.15.0-py3-none-any.whl", hash = "sha256:b1186eb9f5a9749cd9cb8565aee77919dd7c8d076161cf44d70e59e3301e1769"}, {file = "humanize-4.15.0.tar.gz", hash = "sha256:1dd098483eb1c7ee8e32eb2e99ad1910baefa4b75c3aff3a82f4d78688993b10"}, @@ -934,6 +966,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -948,13 +981,14 @@ version = "6.5.2" description = "Read resources from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -967,6 +1001,7 @@ version = "0.4.30" description = "Differentiate, compile, and transform Numpy code." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jax-0.4.30-py3-none-any.whl", hash = "sha256:289b30ae03b52f7f4baf6ef082a9f4e3e29c1080e22d13512c5ecf02d5f1a55b"}, {file = "jax-0.4.30.tar.gz", hash = "sha256:94d74b5b2db0d80672b61d83f1f63ebf99d2ab7398ec12b2ca0c9d1e97afe577"}, @@ -977,13 +1012,13 @@ jaxlib = ">=0.4.27,<=0.4.30" ml-dtypes = ">=0.2.0" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, - {version = ">=1.22", markers = "python_version < \"3.11\""}, + {version = ">=1.22"}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, ] opt-einsum = "*" scipy = [ {version = ">=1.11.1", markers = "python_version >= \"3.12\""}, - {version = ">=1.9", markers = "python_version < \"3.12\""}, + {version = ">=1.9"}, ] [package.extras] @@ -1001,6 +1036,7 @@ version = "0.4.29" description = "XLA library for JAX" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jaxlib-0.4.29-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:60ec8aa2ba133a0615b0fce8e084c90c179c019793551641dd3da6526d036953"}, {file = "jaxlib-0.4.29-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:adb37f9c01a0fbdf97ab4afc7b60939c1694a5c056d8224c3d292cc253a3dc55"}, @@ -1039,7 +1075,7 @@ nvidia-nccl-cu12 = {version = ">=2.18.1", optional = true, markers = "extra == \ nvidia-nvjitlink-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12-pip\""} scipy = [ {version = ">=1.11.1", markers = "python_version >= \"3.12\""}, - {version = ">=1.9", markers = "python_version < \"3.12\""}, + {version = ">=1.9"}, ] [package.extras] @@ -1051,6 +1087,7 @@ version = "0.0.4" description = "JMP is a Mixed Precision library for JAX." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "jmp-0.0.4-py3-none-any.whl", hash = "sha256:6aa7adbddf2bd574b28c7faf6e81a735eb11f53386447896909c6968dc36807d"}, {file = "jmp-0.0.4.tar.gz", hash = "sha256:5dfeb0fd7c7a9f72a70fff0aab9d0cbfae32a809c02f4037ff3485ceb33e1730"}, @@ -1068,6 +1105,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -1079,6 +1117,7 @@ version = "4.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, @@ -1102,6 +1141,7 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -1113,6 +1153,7 @@ version = "0.5.4" description = "ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ml_dtypes-0.5.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b95e97e470fe60ed493fd9ae3911d8da4ebac16bd21f87ffa2b7c588bf22ea2c"}, {file = "ml_dtypes-0.5.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4b801ebe0b477be666696bda493a9be8356f1f0057a57f1e35cd26928823e5a"}, @@ -1158,8 +1199,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, - {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\""}, ] [package.extras] @@ -1171,6 +1212,7 @@ version = "1.1.2" description = "MessagePack serializer" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "msgpack-1.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -2716,6 +2928,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -2727,6 +2940,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -2738,16 +2952,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2755,6 +2970,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2904,6 +3120,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3048,13 +3265,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -3062,6 +3280,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "7a636900257c860803bf454093505f0d29bfd70dccbbc4b85bc91ca930ff50f1" +content-hash = "da4e6621904cb10e995ab43785e0257cae510ec41372c640c5edae693c3ee9f3" diff --git a/security_scanning/examples/models/contrib/grok/pyproject.toml b/security_scanning/examples/models/contrib/grok/pyproject.toml index 81ff867d2d25..3c964d6d1922 100644 --- a/security_scanning/examples/models/contrib/grok/pyproject.toml +++ b/security_scanning/examples/models/contrib/grok/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = "0.2.0" -jaxlib = {version = "0.4.29", extras = ["cuda12-pip"]} -dm-haiku = "0.0.12" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (==0.2.0)", + "jaxlib[cuda12-pip] (==0.4.29)", + "dm-haiku (==0.0.12)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index aca8a9c43548..7067e159647e 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "anyio" @@ -6,6 +6,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -17,7 +18,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "av" @@ -25,6 +26,7 @@ version = "16.1.0" description = "Pythonic bindings for FFmpeg's libraries." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "av-16.1.0-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:2395748b0c34fe3a150a1721e4f3d4487b939520991b13e7b36f8926b3b12295"}, {file = "av-16.1.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:72d7ac832710a158eeb7a93242370aa024a7646516291c562ee7f14a7ea881fd"}, @@ -84,6 +86,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -95,6 +98,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -109,6 +113,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -120,6 +126,7 @@ version = "0.6.0" description = "Decord Video Loader" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "decord-0.6.0-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:85ef90d2f872384657d7774cc486c237c5b12df62d4ac5cb5c8d6001fa611323"}, {file = "decord-0.6.0-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:9c20674964fb1490c677bd911d2023d2a09fec7a58a4bb0b7ddf1ccc269f107a"}, @@ -137,6 +144,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -154,6 +163,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -165,6 +175,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -195,7 +206,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -204,6 +215,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -215,6 +227,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -249,6 +263,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -270,6 +285,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -282,7 +298,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -294,6 +310,7 @@ version = "1.3.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, @@ -329,6 +346,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -343,6 +361,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -360,6 +379,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -458,6 +478,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -466,7 +487,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -475,6 +496,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -494,6 +516,7 @@ version = "2.2.6" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, @@ -558,6 +581,8 @@ version = "12.8.4.1" description = "CUBLAS native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"}, {file = 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description = "cuDNN runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"}, {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"}, @@ -621,6 +654,8 @@ version = "11.3.3.83" description = "CUFFT native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"}, {file = 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"sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -1044,6 +1105,7 @@ version = "1.0.24" description = "PyTorch Image Models" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "timm-1.0.24-py3-none-any.whl", hash = "sha256:8301ac783410c6ad72c73c49326af6d71a9e4d1558238552796e825c2464913f"}, {file = "timm-1.0.24.tar.gz", hash = "sha256:c7b909f43fe2ef8fe62c505e270cd4f1af230dfbc37f2ee93e3608492b9d9a40"}, @@ -1062,6 +1124,7 @@ version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -1129,6 +1192,7 @@ version = "0.24.1" description = "image and video datasets and models for torch deep learning" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torchvision-0.24.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ded5e625788572e4e1c4d155d1bbc48805c113794100d70e19c76e39e4d53465"}, {file = "torchvision-0.24.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:54ed17c3d30e718e08d8da3fd5b30ea44b0311317e55647cb97077a29ecbc25b"}, @@ -1175,6 +1239,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1196,6 +1261,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -1224,6 +1291,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1242,12 +1310,13 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "852386737336a4091f1dffd31b545734085aec2c93c195e6f6b182047584c60d" +content-hash = "2b6f2a034a4d40f513c7fc8c9aacb4f5db08c97ad68c7141b03ec081eaa700e3" diff --git a/security_scanning/examples/models/contrib/hyperclovax/pyproject.toml b/security_scanning/examples/models/contrib/hyperclovax/pyproject.toml index 556ffcf2d8ec..bd3b40787b97 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/pyproject.toml +++ b/security_scanning/examples/models/contrib/hyperclovax/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -decord = "^0.6.0" -timm = "^1.0.24" -av = "^16.1.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "decord (>=0.6.0,<0.7.0)", + "timm (>=1.0.24,<2.0.0)", + "av (>=16.1.0,<17.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 81a211d91cf5..5aa7d009098a 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "24cdc2fcd697c95206d488c7e95a21f441d72dafce3a8fa5015c51273af83c00" diff --git a/security_scanning/examples/models/contrib/internlm/pyproject.toml b/security_scanning/examples/models/contrib/internlm/pyproject.toml index 53e6e1ae3138..717cb32e3b33 100644 --- a/security_scanning/examples/models/contrib/internlm/pyproject.toml +++ b/security_scanning/examples/models/contrib/internlm/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 81a211d91cf5..4b16a3fb4b51 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "09a90aee92909874a9141a92032b89a82cef48f8fcd27e5513d3157ab9f87989" diff --git a/security_scanning/examples/models/contrib/jais/pyproject.toml b/security_scanning/examples/models/contrib/jais/pyproject.toml index d830794da159..97e0a7d76e0e 100644 --- a/security_scanning/examples/models/contrib/jais/pyproject.toml +++ b/security_scanning/examples/models/contrib/jais/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index f1fbde8688ff..1e5a2b232129 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "anyio" @@ -6,6 +6,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -17,7 +18,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "certifi" @@ -25,6 +26,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -36,6 +38,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -158,6 +161,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -169,6 +174,7 @@ version = "0.36.0" description = "State-of-the-art diffusion in PyTorch and JAX." optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "diffusers-0.36.0-py3-none-any.whl", hash = "sha256:525d42abc74bfc3b2db594999961295c054b48ef40a11724dacf50e6abd1af98"}, {file = "diffusers-0.36.0.tar.gz", hash = "sha256:a9cde8721b415bde6a678f2d02abb85396487e1b0e0d2b4abb462d14a9825ab0"}, @@ -205,6 +211,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -222,6 +230,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -233,6 +242,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -263,7 +273,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -272,6 +282,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -283,6 +294,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -317,6 +330,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -338,6 +352,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -350,7 +365,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -362,6 +377,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -378,16 +394,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -400,6 +416,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -414,6 +431,7 @@ version = "8.7.1" description = "Read metadata from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, @@ -423,13 +441,13 @@ files = [ zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=3.4)"] perf = ["ipython"] test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19)", "pytest-mypy (>=1.0.1)"] +type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] [[package]] name = "numpy" @@ -437,6 +455,7 @@ version = "2.2.6" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, @@ -501,6 +520,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -512,6 +532,7 @@ version = "12.1.0" description = "Python Imaging Library (fork)" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd"}, {file = "pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"}, @@ -620,6 +641,7 @@ version = "6.0.3" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -702,6 +724,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -842,6 +865,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -863,6 +887,7 @@ version = "0.7.0" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "safetensors-0.7.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c82f4d474cf725255d9e6acf17252991c3c8aac038d6ef363a4bf8be2f6db517"}, {file = "safetensors-0.7.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94fd4858284736bb67a897a41608b5b0c2496c9bdb3bf2af1fa3409127f20d57"}, @@ -909,6 +934,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -950,6 +976,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -967,13 +994,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -1045,6 +1073,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1056,16 +1085,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "zipp" @@ -1073,13 +1103,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -1087,6 +1118,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "135f99d6c9e67efd1aa903bbb0b78bf5a92601011f11c3a97cded911f6b6bd93" +content-hash = "1a0408843545599d14703172c47d5c1b8e409aa0bfe322c979c3f42be556e3be" diff --git a/security_scanning/examples/models/contrib/mmdit/pyproject.toml b/security_scanning/examples/models/contrib/mmdit/pyproject.toml index f5732ec14d49..186d23496387 100644 --- a/security_scanning/examples/models/contrib/mmdit/pyproject.toml +++ b/security_scanning/examples/models/contrib/mmdit/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -transformers = ">=4.56.0" -diffusers = ">=0.32.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "transformers (>=4.56.0)", + "diffusers (>=0.32.2)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib 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description = "Pure python implementation of ROUGE-1.5.5." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "rouge_score-0.1.2.tar.gz", hash = "sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04"}, ] @@ -1690,6 +1817,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -1701,6 +1829,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1712,6 +1841,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1733,6 +1863,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/contrib/mpt/pyproject.toml b/security_scanning/examples/models/contrib/mpt/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/contrib/mpt/pyproject.toml +++ b/security_scanning/examples/models/contrib/mpt/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/contrib/opt/pyproject.toml b/security_scanning/examples/models/contrib/opt/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/contrib/opt/pyproject.toml +++ b/security_scanning/examples/models/contrib/opt/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 81a211d91cf5..4b16a3fb4b51 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "09a90aee92909874a9141a92032b89a82cef48f8fcd27e5513d3157ab9f87989" diff --git a/security_scanning/examples/models/contrib/skywork/pyproject.toml b/security_scanning/examples/models/contrib/skywork/pyproject.toml index d830794da159..97e0a7d76e0e 100644 --- a/security_scanning/examples/models/contrib/skywork/pyproject.toml +++ b/security_scanning/examples/models/contrib/skywork/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 81a211d91cf5..4b16a3fb4b51 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -504,6 +523,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -643,6 +663,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "09a90aee92909874a9141a92032b89a82cef48f8fcd27e5513d3157ab9f87989" diff --git a/security_scanning/examples/models/contrib/smaug/pyproject.toml b/security_scanning/examples/models/contrib/smaug/pyproject.toml index d830794da159..97e0a7d76e0e 100644 --- a/security_scanning/examples/models/contrib/smaug/pyproject.toml +++ b/security_scanning/examples/models/contrib/smaug/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 35ea1c3b41c0..ca28bc01ce03 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "attrs" @@ -6,6 +6,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -17,6 +18,7 @@ version = "12.3.0" description = "Pythonic bindings for FFmpeg's libraries." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "av-12.3.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b3b1fe6b5ab9af2d09dcdcc5473a3523f7162c3fa0c6b3c379b697fede1e88a5"}, {file = "av-12.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b5f92ba67dca9bac8ce955b09d41e7e92977199adbd0f2aff02653bb40b0ac16"}, @@ -75,6 +77,7 @@ version = "5.0.0" description = "Modern password hashing for your software and your servers" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "bcrypt-5.0.0-cp313-cp313t-macosx_10_12_universal2.whl", hash = "sha256:f3c08197f3039bec79cee59a606d62b96b16669cff3949f21e74796b6e3cd2be"}, {file = "bcrypt-5.0.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:200af71bc25f22006f4069060c88ed36f8aa4ff7f53e67ff04d2ab3f1e79a5b2"}, @@ -151,17 +154,18 @@ version = "0.22.9" description = "Unbearably fast near-real-time pure-Python runtime-static type-checker." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2"}, {file = "beartype-0.22.9.tar.gz", hash = "sha256:8f82b54aa723a2848a56008d18875f91c1db02c32ef6a62319a002e3e25a975f"}, ] [package.extras] -dev = ["autoapi (>=0.9.0)", "celery", "click", "coverage (>=5.5)", "docutils (>=0.22.0)", "equinox", "fastmcp", "jax[cpu]", "jaxtyping", "langchain", "mypy (>=0.800)", "nuitka (>=1.2.6)", "numba", "numpy", "pandera (>=0.26.0)", "poetry", "polars", "pydata-sphinx-theme (<=0.7.2)", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "setuptools", "sphinx", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)", "sqlalchemy", "torch", "tox (>=3.20.1)", "typer", "typing-extensions (>=3.10.0.0)", "xarray"] +dev = ["autoapi (>=0.9.0)", "celery", "click", "coverage (>=5.5)", "docutils (>=0.22.0)", "equinox ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "fastmcp ; python_version < \"3.14.0\"", "jax[cpu] ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "jaxtyping ; sys_platform == \"linux\"", "langchain ; python_version < \"3.14.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "mypy (>=0.800) ; platform_python_implementation != \"PyPy\"", "nuitka (>=1.2.6) ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "numba ; python_version < \"3.14.0\"", "numpy ; python_version < \"3.15.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "pandera (>=0.26.0) ; python_version < \"3.14.0\"", "poetry", "polars ; python_version < \"3.14.0\"", "pydata-sphinx-theme (<=0.7.2)", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "setuptools", "sphinx", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)", "sqlalchemy", "torch ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "tox (>=3.20.1)", "typer", "typing-extensions (>=3.10.0.0)", "xarray ; python_version < \"3.15.0\""] doc-ghp = ["mkdocs-material[imaging] (>=9.6.0)", "mkdocstrings-python (>=1.16.0)", "mkdocstrings-python-xref (>=1.16.0)"] doc-rtd = ["autoapi (>=0.9.0)", "pydata-sphinx-theme (<=0.7.2)", "setuptools", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)"] -test = ["celery", "click", "coverage (>=5.5)", "docutils (>=0.22.0)", "equinox", "fastmcp", "jax[cpu]", "jaxtyping", "langchain", "mypy (>=0.800)", "nuitka (>=1.2.6)", "numba", "numpy", "pandera (>=0.26.0)", "poetry", "polars", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "sphinx", "sqlalchemy", "torch", "tox (>=3.20.1)", "typer", "typing-extensions (>=3.10.0.0)", "xarray"] -test-tox = ["celery", "click", "docutils (>=0.22.0)", "equinox", "fastmcp", "jax[cpu]", "jaxtyping", "langchain", "mypy (>=0.800)", "nuitka (>=1.2.6)", "numba", "numpy", "pandera (>=0.26.0)", "poetry", "polars", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "sphinx", "sqlalchemy", "torch", "typer", "typing-extensions (>=3.10.0.0)", "xarray"] +test = ["celery", "click", "coverage (>=5.5)", "docutils (>=0.22.0)", "equinox ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "fastmcp ; python_version < \"3.14.0\"", "jax[cpu] ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "jaxtyping ; sys_platform == \"linux\"", "langchain ; python_version < \"3.14.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "mypy (>=0.800) ; platform_python_implementation != \"PyPy\"", "nuitka (>=1.2.6) ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "numba ; python_version < \"3.14.0\"", "numpy ; python_version < \"3.15.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "pandera (>=0.26.0) ; python_version < \"3.14.0\"", "poetry", "polars ; python_version < \"3.14.0\"", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "sphinx", "sqlalchemy", "torch ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "tox (>=3.20.1)", "typer", "typing-extensions (>=3.10.0.0)", "xarray ; python_version < \"3.15.0\""] +test-tox = ["celery", "click", "docutils (>=0.22.0)", "equinox ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "fastmcp ; python_version < \"3.14.0\"", "jax[cpu] ; sys_platform == \"linux\" and python_version < \"3.15.0\"", "jaxtyping ; sys_platform == \"linux\"", "langchain ; python_version < \"3.14.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "mypy (>=0.800) ; platform_python_implementation != \"PyPy\"", "nuitka (>=1.2.6) ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "numba ; python_version < \"3.14.0\"", "numpy ; python_version < \"3.15.0\" and sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "pandera (>=0.26.0) ; python_version < \"3.14.0\"", "poetry", "polars ; python_version < \"3.14.0\"", "pygments", "pyinstaller", "pyright (>=1.1.370)", "pytest (>=6.2.0)", "redis", "rich-click", "sphinx", "sqlalchemy", "torch ; sys_platform == \"linux\" and python_version < \"3.14.0\"", "typer", "typing-extensions (>=3.10.0.0)", "xarray ; python_version < \"3.15.0\""] test-tox-coverage = ["coverage (>=5.5)"] [[package]] @@ -170,6 +174,7 @@ version = "0.49.1" description = "k-bit optimizers and matrix multiplication routines." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "bitsandbytes-0.49.1-py3-none-macosx_14_0_arm64.whl", hash = "sha256:9de01d4384b6c71ef9ab052b98457dc0e4fff8fe06ab14833b5b712700deb005"}, {file = "bitsandbytes-0.49.1-py3-none-manylinux_2_24_aarch64.whl", hash = "sha256:acd4730a0db3762d286707f4a3bc1d013d21dd5f0e441900da57ec4198578d4e"}, @@ -194,6 +199,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -205,6 +211,8 @@ version = "2.0.0" description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "platform_python_implementation != \"PyPy\"" files = [ {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, @@ -301,6 +309,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -423,6 +432,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -437,6 +447,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -448,6 +460,7 @@ version = "0.3.3" description = "A timer context manager measuring the clock wall time of the code block it contains." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "contexttimer-0.3.3.tar.gz", hash = "sha256:35a1efd389af3f1ca509f33ff23e17d98b66c8fde5ba2a4eb8a8b7fa456598a5"}, ] @@ -458,6 +471,7 @@ version = "46.0.3" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = "!=3.9.0,!=3.9.1,>=3.8" +groups = ["main"] files = [ {file = "cryptography-46.0.3-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:109d4ddfadf17e8e7779c39f9b18111a09efb969a301a31e987416a0191ed93a"}, {file = "cryptography-46.0.3-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:09859af8466b69bc3c27bdf4f5d84a665e0f7ab5088412e9e2ec49758eca5cbc"}, @@ -516,8 +530,8 @@ files = [ ] [package.dependencies] -cffi = {version = ">=2.0.0", markers = "python_full_version >= \"3.9\" and platform_python_implementation != \"PyPy\""} -typing-extensions = {version = ">=4.13.2", markers = "python_full_version < \"3.11\""} +cffi = {version = ">=2.0.0", markers = "python_full_version >= \"3.9.0\" and platform_python_implementation != \"PyPy\""} +typing-extensions = {version = ">=4.13.2", markers = "python_full_version < \"3.11.0\""} [package.extras] docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs", "sphinx-rtd-theme (>=3.0.0)"] @@ -535,6 +549,7 @@ version = "5.2.1" description = "Decorators for Humans" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, @@ -546,6 +561,7 @@ version = "1.3.1" description = "Python @deprecated decorator to deprecate old python classes, functions or methods." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" +groups = ["main"] files = [ {file = "deprecated-1.3.1-py2.py3-none-any.whl", hash = "sha256:597bfef186b6f60181535a29fbe44865ce137a5079f295b479886c82729d5f3f"}, {file = "deprecated-1.3.1.tar.gz", hash = "sha256:b1b50e0ff0c1fddaa5708a2c6b0a6588bb09b892825ab2b214ac9ea9d92a5223"}, @@ -555,7 +571,7 @@ files = [ wrapt = ">=1.10,<3" [package.extras] -dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"] +dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"] [[package]] name = "einops" @@ -563,6 +579,7 @@ version = "0.8.1" description = "A new flavour of deep learning operations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, @@ -574,6 +591,7 @@ version = "3.2.2" description = "High level SSH command execution" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "fabric-3.2.2-py3-none-any.whl", hash = "sha256:91c47c0be68b14936c88b34da8a1f55e5710fd28397dac5d4ff2e21558113a6f"}, {file = "fabric-3.2.2.tar.gz", hash = "sha256:8783ca42e3b0076f08b26901aac6b9d9b1f19c410074e7accfab902c184ff4a3"}, @@ -594,6 +612,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -605,6 +624,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -635,7 +655,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -644,6 +664,7 @@ version = "6.3.1" description = "Fixes mojibake and other problems with Unicode, after the fact" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ftfy-6.3.1-py3-none-any.whl", hash = "sha256:7c70eb532015cd2f9adb53f101fb6c7945988d023a085d127d1573dc49dd0083"}, {file = "ftfy-6.3.1.tar.gz", hash = "sha256:9b3c3d90f84fb267fe64d375a07b7f8912d817cf86009ae134aa03e1819506ec"}, @@ -658,6 +679,7 @@ version = "1.0" description = "GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "galore-torch-1.0.tar.gz", hash = "sha256:469f793a0ae1c29cc42d9ba4550fed66983936cb50eccb46b06fbd16cfde40b9"}, {file = "galore_torch-1.0-py3-none-any.whl", hash = "sha256:7339bd6f6ea4557c5c9ae58026d67414bba2a0c7a7e7f1d69a05514ff565dd20"}, @@ -674,6 +696,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -708,6 +732,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -724,16 +749,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", 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"types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -746,6 +771,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -760,6 +786,7 @@ version = "2.2.1" description = "Pythonic task execution" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "invoke-2.2.1-py3-none-any.whl", hash = "sha256:2413bc441b376e5cd3f55bb5d364f973ad8bdd7bf87e53c79de3c11bf3feecc8"}, {file = "invoke-2.2.1.tar.gz", hash = "sha256:515bf49b4a48932b79b024590348da22f39c4942dff991ad1fb8b8baea1be707"}, @@ -771,6 +798,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -788,6 +816,7 @@ version = "4.26.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"}, {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"}, @@ -795,7 +824,7 @@ files = [ [package.dependencies] attrs = ">=22.2.0" -jsonschema-specifications = ">=2023.03.6" +jsonschema-specifications = ">=2023.3.6" referencing = ">=0.28.4" rpds-py = ">=0.25.0" @@ -809,6 +838,7 @@ version = "2025.9.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"}, {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"}, @@ -823,6 +853,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -921,6 +952,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -929,7 +961,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -938,6 +970,7 @@ version = "1.1.2" description = "MessagePack serializer" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "msgpack-1.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0051fffef5a37ca2cd16978ae4f0aef92f164df86823871b5162812bebecd8e2"}, {file = "msgpack-1.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a605409040f2da88676e9c9e5853b3449ba8011973616189ea5ee55ddbc5bc87"}, @@ -1009,6 +1042,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -1028,6 +1062,7 @@ version = "2.2.6" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, @@ -1092,6 +1127,8 @@ version = "12.8.4.1" description = "CUBLAS native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"}, {file = 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= ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc"}, {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b"}, @@ -1225,6 +1280,8 @@ version = "0.7.1" description = "NVIDIA cuSPARSELt" optional = false python-versions = "*" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8878dce784d0fac90131b6817b607e803c36e629ba34dc5b433471382196b6a5"}, {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = 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\"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -2211,6 +2303,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -2222,16 +2315,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "wcwidth" @@ -2239,6 +2333,7 @@ version = "0.2.14" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1"}, {file = "wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605"}, @@ -2250,6 +2345,7 @@ version = "2.0.1" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "wrapt-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:64b103acdaa53b7caf409e8d45d39a8442fe6dcfec6ba3f3d141e0cc2b5b4dbd"}, {file = "wrapt-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91bcc576260a274b169c3098e9a3519fb01f2989f6d3d386ef9cbf8653de1374"}, @@ -2364,6 +2460,6 @@ files = [ dev = ["pytest", "setuptools"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "85fb9ada82912c90ef140f8227d61240ff5dddd780d763acc6310c5c17e30427" +content-hash = "c7302bab53b54d0d34b6e44eb3256e4d843f8b3a8f48ed1fafc67e7d2b8d09bd" diff --git a/security_scanning/examples/models/contrib/stdit/pyproject.toml b/security_scanning/examples/models/contrib/stdit/pyproject.toml index 8ff317d8c55e..93c465974e0b 100644 --- a/security_scanning/examples/models/contrib/stdit/pyproject.toml +++ b/security_scanning/examples/models/contrib/stdit/pyproject.toml @@ -1,24 +1,25 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -ftfy = "^6.3.1" -av = "12.3.0" -rotary-embedding-torch = "0.5.3" -fabric = "^3.2.2" -contexttimer = "^0.3.3" -ray = "^2.53.0" -protobuf = "^6.33.4" -bitsandbytes = ">=0.39.0" -rpyc = "6.0.0" -galore-torch = "^1.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "ftfy (>=6.3.1,<7.0.0)", + "av (==12.3.0)", + "rotary-embedding-torch (==0.5.3)", + "fabric (>=3.2.2,<4.0.0)", + "contexttimer (>=0.3.3,<0.4.0)", + "ray (>=2.53.0,<3.0.0)", + "protobuf (>=6.33.4,<7.0.0)", + "bitsandbytes (>=0.39.0)", + "rpyc (==6.0.0)", + "galore-torch (>=1.0,<2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -504,6 +523,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -643,6 +663,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/core/commandr/pyproject.toml b/security_scanning/examples/models/core/commandr/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/core/commandr/pyproject.toml +++ b/security_scanning/examples/models/core/commandr/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index cb5d6e3d8839..febe0aef8612 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "25.1.0" description = "File support for asyncio." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiofiles-25.1.0-py3-none-any.whl", hash = "sha256:abe311e527c862958650f9438e859c1fa7568a141b22abcd015e120e86a85695"}, {file = "aiofiles-25.1.0.tar.gz", hash = "sha256:a8d728f0a29de45dc521f18f07297428d56992a742f0cd2701ba86e44d23d5b2"}, @@ -28,6 +30,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -39,6 +42,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -173,7 +177,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -181,6 +185,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -196,6 +201,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -207,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -215,6 +221,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -226,6 +234,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -237,6 +246,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -248,6 +258,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -370,6 +381,7 @@ version = "0.1.90" description = "Chex: Testing made fun, in JAX!" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae"}, {file = "chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c"}, @@ -390,6 +402,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -404,6 +417,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -415,6 +430,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -437,17 +453,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -457,6 +473,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -472,6 +489,7 @@ version = "1.13.0" description = "Collection of common python utils" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -480,7 +498,7 @@ files = [ [package.dependencies] fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""} -typing_extensions = {version = "*", optional = true, markers = "extra == \"epy\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} zipp = {version = "*", optional = true, markers = "extra == \"epath\""} [package.extras] @@ -509,6 +527,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -526,6 +546,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -537,6 +558,7 @@ version = "0.8.5" description = "Flax: A neural network library for JAX designed for flexibility" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "flax-0.8.5-py3-none-any.whl", hash = "sha256:c96e46d1c48a300d010ebf5c4846f163bdd7acc6efff5ff2bfb1cb5b08aa65d8"}, {file = "flax-0.8.5.tar.gz", hash = "sha256:4a9cb7950ece54b0addaa73d77eba24e46138dbe783d01987be79d20ccb2b09b"}, @@ -547,7 +569,7 @@ jax = ">=0.4.27" msgpack = "*" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22", markers = "python_version < \"3.11\""}, ] optax = "*" @@ -559,7 +581,7 @@ typing-extensions = ">=4.2" [package.extras] all = ["matplotlib"] -testing = ["black[jupyter] (==23.7.0)", "clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "nbstripout", "opencv-python", "penzai (>=0.1.2)", "pytest", "pytest-cov", "pytest-custom-exit-code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow-datasets", "tensorflow-text (>=2.11.0)", "torch"] +testing = ["black[jupyter] (==23.7.0)", "clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6.dev0)", "ml-collections", "mypy", "nbstripout", "opencv-python", "penzai (>=0.1.2) ; python_version >= \"3.10\"", "pytest", "pytest-cov", "pytest-custom-exit-code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow-datasets", "tensorflow-text (>=2.11.0)", "torch"] [[package]] name = "frozenlist" @@ -567,6 +589,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -706,6 +729,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -748,6 +772,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -759,6 +784,7 @@ version = "3.12.1" description = "Read and write HDF5 files from Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "h5py-3.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f0f1a382cbf494679c07b4371f90c70391dedb027d517ac94fa2c05299dacda"}, {file = "h5py-3.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cb65f619dfbdd15e662423e8d257780f9a66677eae5b4b3fc9dca70b5fd2d2a3"}, @@ -797,6 +823,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -831,6 +859,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -852,6 +881,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -864,7 +894,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -876,6 +906,7 @@ version = "1.3.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, @@ -911,6 +942,7 @@ version = "4.15.0" description = "Python humanize utilities" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "humanize-4.15.0-py3-none-any.whl", hash = "sha256:b1186eb9f5a9749cd9cb8565aee77919dd7c8d076161cf44d70e59e3301e1769"}, {file = "humanize-4.15.0.tar.gz", hash = "sha256:1dd098483eb1c7ee8e32eb2e99ad1910baefa4b75c3aff3a82f4d78688993b10"}, @@ -925,6 +957,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -939,13 +972,14 @@ version = "6.5.2" description = "Read resources from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -958,6 +992,7 @@ version = "0.6.2" description = "Differentiate, compile, and transform Numpy code." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "jax-0.6.2-py3-none-any.whl", hash = "sha256:bb24a82dc60ccf704dcaf6dbd07d04957f68a6c686db19630dd75260d1fb788c"}, {file = "jax-0.6.2.tar.gz", hash = "sha256:a437d29038cbc8300334119692744704ca7941490867b9665406b7f90665cd96"}, @@ -987,6 +1022,7 @@ version = "0.6.2" description = "XLA library for JAX" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "jaxlib-0.6.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:da4601b2b5dc8c23d6afb293eacfb9aec4e1d1871cb2f29c5a151d103e73b0f8"}, {file = "jaxlib-0.6.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4205d098ce8efb5f7fe2fe5098bae6036094dc8d8829f5e0e0d7a9b155326336"}, @@ -1019,6 +1055,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -1030,6 +1067,7 @@ version = "4.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, @@ -1053,6 +1091,7 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -1064,6 +1103,7 @@ version = "0.5.4" description = "ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ml_dtypes-0.5.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b95e97e470fe60ed493fd9ae3911d8da4ebac16bd21f87ffa2b7c588bf22ea2c"}, {file = "ml_dtypes-0.5.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4b801ebe0b477be666696bda493a9be8356f1f0057a57f1e35cd26928823e5a"}, @@ -1109,8 +1149,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, - {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, ] [package.extras] @@ -1122,6 +1162,7 @@ version = "1.1.2" description = "MessagePack serializer" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "msgpack-1.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash 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Easy to code. 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platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2785,6 +2988,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2934,6 +3138,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3078,13 +3283,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -3092,6 +3298,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "da80bdd78c1670a7259e3cf01bd1ea8480e65ed1a3ba7e4f992a12f0427b47b1" +content-hash = "fbd8edab73fb5990588d2fa90ef6ce6b5ee69975f61dcbc10dfbd515c5853fef" diff --git a/security_scanning/examples/models/core/gemma/pyproject.toml b/security_scanning/examples/models/core/gemma/pyproject.toml index 17ed35b120d0..f3fcb451640a 100644 --- a/security_scanning/examples/models/core/gemma/pyproject.toml +++ b/security_scanning/examples/models/core/gemma/pyproject.toml @@ -1,23 +1,24 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -nvidia-cudnn-cu12 = ">=8.9,<9.0" -flax = ">=0.8.0,<0.9.0" -numpy = "<2" -safetensors = ">=0.4.1,<0.5.0" -sentencepiece = ">=0.1.99" -h5py = ">=3.12.1,<3.13.0" -rouge-score = "^0.1.2" -nltk = "^3.9.2" -datasets = "3.1.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "nvidia-cudnn-cu12 (>=8.9,<9.0)", + "flax (>=0.8.0,<0.9.0)", + "numpy (<2)", + "safetensors (>=0.4.1,<0.5.0)", + "sentencepiece (>=0.1.99)", + "h5py (>=3.12.1,<3.13.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "nltk (>=3.9.2,<4.0.0)", + "datasets (==3.1.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index ab546c3327d2..025618e85f1a 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -504,6 +523,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -643,6 +663,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = 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tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -1882,6 +2014,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1903,6 +2036,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1921,6 +2055,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1932,6 +2067,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1943,16 +2079,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1960,6 +2097,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2109,6 +2247,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2248,6 +2387,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "bf6a96af9261adc148861445f3cdd4f60203a00406866477e5813dd70960ed55" +content-hash = "a85db02eef4a5a974be814cff7c8abd91ad2c3dac84dcf34f34cc4477f7dabfd" diff --git a/security_scanning/examples/models/core/glm-4-9b/pyproject.toml b/security_scanning/examples/models/core/glm-4-9b/pyproject.toml index 7432e52e2da2..8c9571994650 100644 --- a/security_scanning/examples/models/core/glm-4-9b/pyproject.toml +++ b/security_scanning/examples/models/core/glm-4-9b/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -protobuf = "^6.33.4" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" -tiktoken = "^0.12.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "protobuf (>=6.33.4,<7.0.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)", + "tiktoken (>=0.12.0,<0.13.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 81a211d91cf5..4b16a3fb4b51 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "09a90aee92909874a9141a92032b89a82cef48f8fcd27e5513d3157ab9f87989" diff --git a/security_scanning/examples/models/core/gpt/pyproject.toml b/security_scanning/examples/models/core/gpt/pyproject.toml index d830794da159..97e0a7d76e0e 100644 --- a/security_scanning/examples/models/core/gpt/pyproject.toml +++ b/security_scanning/examples/models/core/gpt/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/internlm2/poetry.lock b/security_scanning/examples/models/core/internlm2/poetry.lock index 07b75a6727b8..cf3b2372e24b 100644 --- a/security_scanning/examples/models/core/internlm2/poetry.lock +++ b/security_scanning/examples/models/core/internlm2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "einops" @@ -6,12 +6,13 @@ version = "0.8.1" description = "A new flavour of deep learning operations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b7711a8ec8425e1af5e66faa1e7e9487f6e810c6ad6821fc7e092dbebf853f74" +content-hash = "43716825c42624c3799fabdc651ada0715b8ac957ce60faa5c6ed8eaa3a00791" diff --git a/security_scanning/examples/models/core/internlm2/pyproject.toml b/security_scanning/examples/models/core/internlm2/pyproject.toml index 42a01fcc96c7..fb80cb3d39c1 100644 --- a/security_scanning/examples/models/core/internlm2/pyproject.toml +++ b/security_scanning/examples/models/core/internlm2/pyproject.toml @@ -1,15 +1,16 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -einops = "^0.8.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "einops (>=0.8.1,<0.9.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 259eb7eec9c7..0f6aff2b9b7e 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -196,6 +202,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -207,6 +214,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -218,6 +226,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -340,6 +349,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -354,6 +364,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -365,6 +377,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -387,17 +400,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", 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"sentencepiece-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e10fa50bdbaa5e2445dbd387979980d391760faf0ec99a09bd7780ff37eaec44"}, {file = "sentencepiece-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f27ae6deea72efdb6f361750c92f6c21fd0ad087445082770cc34015213c526"}, @@ -1725,6 +1764,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1736,6 +1776,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -1777,6 +1818,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1794,13 +1836,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -1872,6 +1915,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1883,6 +1927,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1894,16 +1939,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1911,6 +1957,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2060,6 +2107,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2199,6 +2247,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "e07d4dc9125960f111759ae685f3b7676a74cbad828e767e1b0c57fd3c5281cc" +content-hash = "b84da45e1220c42dab472e4b609d11774cc0a72f17c689fdf0011802d868f527" diff --git a/security_scanning/examples/models/core/llama/pyproject.toml b/security_scanning/examples/models/core/llama/pyproject.toml index 6c56097c28ef..b74e71bb026b 100644 --- a/security_scanning/examples/models/core/llama/pyproject.toml +++ b/security_scanning/examples/models/core/llama/pyproject.toml @@ -1,19 +1,20 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -transformers = ">=4.56.0" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "transformers (>=4.56.0)", + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 9fe54a8cd17c..1cfd6016ba36 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -196,6 +202,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -207,6 +214,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -218,6 +226,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -340,6 +349,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -354,6 +364,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -365,6 +377,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -387,17 +400,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib 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{file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -1777,6 +1818,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1794,13 +1836,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -1872,6 +1915,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1883,6 +1927,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1894,16 +1939,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1911,6 +1957,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2060,6 +2107,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2199,6 +2247,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "73917caf07f05e3bfc3915b309e252062a43af4e98525b1d7052904f7d2f7259" +content-hash = "0b99220af2ebe2319b97e19e98f838764973478ebbb1d87d273a064624a1ea0c" diff --git a/security_scanning/examples/models/core/mamba/pyproject.toml b/security_scanning/examples/models/core/mamba/pyproject.toml index a3a9e67bd7b8..faf2840a6a32 100644 --- a/security_scanning/examples/models/core/mamba/pyproject.toml +++ b/security_scanning/examples/models/core/mamba/pyproject.toml @@ -1,19 +1,20 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -transformers = ">=4.56.0" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "transformers (>=4.56.0)", + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index ce7c741809ef..1bb0e1111094 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "accelerate" @@ -6,6 +6,7 @@ version = "0.25.0" description = "Accelerate" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "accelerate-0.25.0-py3-none-any.whl", hash = "sha256:c7bb817eb974bba0ff3ea1ba0f24d55afb86d50e3d4fe98d6922dc69cf2ccff1"}, {file = "accelerate-0.25.0.tar.gz", hash = "sha256:ecf55b0ab278a1dac8539dde0d276977aff04683f07ede73eaf02478538576a1"}, @@ -36,6 +37,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -47,6 +49,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -169,6 +172,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -180,6 +185,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -191,6 +197,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -221,7 +228,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -230,6 +237,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -264,6 +273,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -280,16 +290,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", 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"typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -302,6 +312,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -316,6 +327,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -333,6 +345,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -431,6 +444,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -439,7 +453,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -448,6 +462,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -467,6 +482,7 @@ version = "2.2.6" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, @@ -531,6 +547,8 @@ version = "12.8.4.1" description = "CUBLAS native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"}, {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142"}, @@ -543,6 +561,8 @@ version = "12.8.90" description = "CUDA profiling tools runtime libs." optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed"}, {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182"}, @@ -555,6 +575,8 @@ version = "12.8.93" description = "NVRTC native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"}, {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"}, @@ -567,6 +589,8 @@ version = "12.8.90" description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = 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optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"}, {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"}, @@ -609,6 +637,8 @@ version = "1.13.1.3" description = "cuFile GPUDirect libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"}, {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"}, @@ -620,6 +650,8 @@ version = "10.3.9.90" description = "CURAND native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"}, {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"}, @@ -632,6 +664,8 @@ version = "11.7.3.90" description = "CUDA solver native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = 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\"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8878dce784d0fac90131b6817b607e803c36e629ba34dc5b433471382196b6a5"}, {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623"}, @@ -676,6 +714,8 @@ version = "2.27.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"}, {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"}, @@ -687,6 +727,8 @@ version = "12.8.93" description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"}, {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"}, @@ -699,6 +741,8 @@ version = "3.3.20" description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters." optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b0b960da3842212758e4fa4696b94f129090b30e5122fea3c5345916545cff0"}, {file = "nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d00f26d3f9b2e3c3065be895e3059d6479ea5c638a3f38c9fec49b1b9dd7c1e5"}, @@ -710,6 +754,8 @@ version = "12.8.90" description = "NVIDIA Tools Extension" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615"}, {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f"}, @@ -722,6 +768,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -733,6 +780,7 @@ version = "7.2.1" description = "Cross-platform lib for process and system monitoring." optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "psutil-7.2.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ba9f33bb525b14c3ea563b2fd521a84d2fa214ec59e3e6a2858f78d0844dd60d"}, {file = "psutil-7.2.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:81442dac7abfc2f4f4385ea9e12ddf5a796721c0f6133260687fec5c3780fa49"}, @@ -767,6 +815,7 @@ version = "6.0.3" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -849,6 +898,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -989,6 +1039,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -1010,6 +1061,7 @@ version = "0.7.0" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "safetensors-0.7.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c82f4d474cf725255d9e6acf17252991c3c8aac038d6ef363a4bf8be2f6db517"}, {file = "safetensors-0.7.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94fd4858284736bb67a897a41608b5b0c2496c9bdb3bf2af1fa3409127f20d57"}, @@ -1056,19 +1108,21 @@ version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "python_version == \"3.12\"" files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] -core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "sympy" @@ -1076,6 +1130,7 @@ version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -1093,6 +1148,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -1134,6 +1190,7 @@ version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -1201,6 +1258,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1222,6 +1280,7 @@ version = "4.56.0" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "transformers-4.56.0-py3-none-any.whl", hash = "sha256:bacf539c38dd850690856881c4974321af93a22f2ee96bcc994741a2121d8e71"}, {file = "transformers-4.56.0.tar.gz", hash = "sha256:6ca9c3f38aa4da93ebf877db7156368c1c188c7465f09dbe70951e7622e987fa"}, @@ -1296,6 +1355,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -1324,6 +1385,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1335,18 +1397,19 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "543d983f24178d792ca1de03d92e688d612a25ff159ff53919b7c4b444ebeb4b" +content-hash = "fca5d825b7c614e1b977e03e79938be6e037a8c868b500fdb2b16d3905a8a287" diff --git a/security_scanning/examples/models/core/mixtral/pyproject.toml b/security_scanning/examples/models/core/mixtral/pyproject.toml index 7297f9da7719..44d9a35823f7 100644 --- a/security_scanning/examples/models/core/mixtral/pyproject.toml +++ b/security_scanning/examples/models/core/mixtral/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -transformers = "4.56.0" -accelerate = "0.25.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "transformers (==4.56.0)", + "accelerate (==0.25.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index 0c46dfa6129f..5d88514d563a 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "annotated-types" @@ -6,6 +6,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -17,6 +18,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -28,6 +30,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -150,6 +153,7 @@ version = "3.1.2" description = "Pickler class to extend the standard pickle.Pickler functionality" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"}, {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"}, @@ -161,6 +165,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -172,6 +178,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -183,6 +190,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -213,7 +221,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -222,6 +230,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -256,6 +266,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -272,16 +283,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -294,6 +305,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -308,6 +320,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -325,6 +338,7 @@ version = "4.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, @@ -348,6 +362,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -446,6 +461,7 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -457,6 +473,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -465,7 +482,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -474,6 +491,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -493,6 +511,7 @@ version = "1.13.0" description = "Ninja is a small build system with a focus on speed" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "ninja-1.13.0-py3-none-macosx_10_9_universal2.whl", hash = "sha256:fa2a8bfc62e31b08f83127d1613d10821775a0eb334197154c4d6067b7068ff1"}, {file = "ninja-1.13.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3d00c692fb717fd511abeb44b8c5d00340c36938c12d6538ba989fe764e79630"}, @@ -521,6 +540,7 @@ version = "1.26.4" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, @@ -566,6 +586,8 @@ version = "12.8.4.1" description = "CUBLAS native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"}, {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142"}, @@ -578,6 +600,8 @@ version = "12.8.90" description = "CUDA profiling tools runtime libs." optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed"}, {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182"}, @@ -590,6 +614,8 @@ version = "12.8.93" description = "NVRTC native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"}, {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"}, @@ -602,6 +628,8 @@ version = "12.8.90" description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d"}, {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90"}, @@ -614,6 +642,8 @@ version = "9.10.2.21" description = "cuDNN runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"}, {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"}, @@ -629,6 +659,8 @@ version = "11.3.3.83" description = "CUFFT native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"}, {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"}, @@ -644,6 +676,8 @@ version = "1.13.1.3" description = "cuFile GPUDirect libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"}, {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"}, @@ -655,6 +689,8 @@ version = "10.3.9.90" description = "CURAND native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"}, {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"}, @@ -667,6 +703,8 @@ version = "11.7.3.90" description = "CUDA solver native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0"}, {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450"}, @@ -684,6 +722,8 @@ version = "12.5.8.93" description = "CUSPARSE native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc"}, {file = 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"nvidia_modelopt-0.21.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8fef6a2ea3bf51a62c31226825d7d35f883e8d260f4d57a7fcb3b6209431351e"}, {file = "nvidia_modelopt-0.21.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:0d26c3193694f90e8a940133d559d3ce44045a4544b131dd7f29f718110413ca"}, @@ -742,10 +785,10 @@ torchvision = {version = "*", optional = true, markers = "extra == \"torch\""} tqdm = "*" [package.extras] -all = ["accelerate (>=0.27.2)", "cppimport", "diffusers (>=0.27.2)", "huggingface-hub (>=0.24.0)", "onnx", "onnx-graphsurgeon", "onnxconverter-common", "onnxmltools", "onnxruntime (>=1.18.0,<1.19.0)", "onnxruntime-gpu (>=1.18.0,<1.19.0)", "peft (>=0.12.0)", "pulp", "regex", "safetensors", "torch (>=2.0)", "torchprofile (>=0.0.4)", "torchvision", "transformers (>=4.40.2)"] +all = ["accelerate (>=0.27.2)", "cppimport", "diffusers (>=0.27.2)", "huggingface-hub (>=0.24.0)", "onnx", "onnx-graphsurgeon", "onnxconverter-common", "onnxmltools", 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(>=1.18.0,<1.19.0) ; platform_machine != \"aarch64\" and platform_system != \"Darwin\""] torch = ["pulp", "regex", "safetensors", "torch (>=2.0)", "torchprofile (>=0.0.4)", "torchvision"] [[package]] @@ -754,6 +797,8 @@ version = "2.27.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"}, {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"}, @@ -765,6 +810,8 @@ version = "12.8.93" description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"}, {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"}, @@ -777,6 +824,8 @@ version = "3.3.20" description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters." optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b0b960da3842212758e4fa4696b94f129090b30e5122fea3c5345916545cff0"}, {file = "nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d00f26d3f9b2e3c3065be895e3059d6479ea5c638a3f38c9fec49b1b9dd7c1e5"}, @@ -788,6 +837,8 @@ version = "12.8.90" description = "NVIDIA Tools Extension" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615"}, {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f"}, @@ -800,6 +851,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -811,6 +863,7 @@ version = "12.1.0" description = "Python Imaging Library (fork)" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "pillow-12.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:fb125d860738a09d363a88daa0f59c4533529a90e564785e20fe875b200b6dbd"}, {file = "pillow-12.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"}, @@ -919,6 +972,7 @@ version = "3.3.0" description = "PuLP is an LP modeler written in python. PuLP can generate MPS or LP files and call GLPK, COIN CLP/CBC, CPLEX, and GUROBI to solve linear problems." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pulp-3.3.0-py3-none-any.whl", hash = "sha256:dd6ad2d63f196d1254eddf9dcff5cd224912c1f046120cb7c143c5b0eda63fae"}, {file = "pulp-3.3.0.tar.gz", hash = "sha256:7eb99b9ce7beeb8bbb7ea9d1c919f02f003ab7867e0d1e322f2f2c26dd31c8ba"}, @@ -926,12 +980,12 @@ files = [ [package.extras] copt = ["coptpy"] -cplex = ["cplex"] +cplex = ["cplex ; sys_platform != \"darwin\" or python_full_version < \"3.12.0\""] gurobi = ["gurobipy"] highs = ["highspy"] mosek = ["mosek"] open-py = ["cylp", "highspy", "pyscipopt"] -public-py = ["coptpy", "cplex", "gurobipy", "xpress"] +public-py = ["coptpy", "cplex ; sys_platform != \"darwin\" or python_full_version < \"3.12.0\"", "gurobipy", "xpress"] scip = ["pyscipopt"] xpress = ["xpress"] @@ -941,6 +995,7 @@ version = "2.12.5" description = "Data validation using Python type hints" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d"}, {file = "pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49"}, @@ -954,7 +1009,7 @@ typing-inspection = ">=0.4.2" [package.extras] email = ["email-validator (>=2.0.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] [[package]] name = "pydantic-core" @@ -962,6 +1017,7 @@ version = "2.41.5" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146"}, {file = "pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2"}, @@ -1095,6 +1151,7 @@ version = "2.19.2" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"}, {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"}, @@ -1109,6 +1166,7 @@ version = "6.0.3" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -1191,6 +1249,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -1331,6 +1390,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -1352,6 +1412,7 @@ version = "14.2.0" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, @@ -1370,6 +1431,7 @@ version = "0.7.0" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "safetensors-0.7.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c82f4d474cf725255d9e6acf17252991c3c8aac038d6ef363a4bf8be2f6db517"}, {file = "safetensors-0.7.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94fd4858284736bb67a897a41608b5b0c2496c9bdb3bf2af1fa3409127f20d57"}, @@ -1416,6 +1478,7 @@ version = "1.15.3" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, @@ -1471,7 +1534,7 @@ numpy = ">=1.23.5,<2.5" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "setuptools" @@ -1479,19 +1542,21 @@ version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "python_version == \"3.12\"" files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] -core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "sympy" @@ -1499,6 +1564,7 @@ version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -1516,6 +1582,7 @@ version = "0.21.4" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.21.4-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:2ccc10a7c3bcefe0f242867dc914fc1226ee44321eb618cfe3019b5df3400133"}, {file = "tokenizers-0.21.4-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:5e2f601a8e0cd5be5cc7506b20a79112370b9b3e9cb5f13f68ab11acd6ca7d60"}, @@ -1548,6 +1615,7 @@ version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -1615,6 +1683,7 @@ version = "0.0.4" description = "" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "torchprofile-0.0.4-py3-none-any.whl", hash = "sha256:7151fe88dc770f0eeec241244a4c7feaec2c5e8c7852386bc2d6a8d7dde7384d"}, {file = "torchprofile-0.0.4.tar.gz", hash = "sha256:96b6da17d752a06b02977e078aea95614893b31d4117dd5dcd081f30ce65611b"}, @@ -1631,6 +1700,7 @@ version = "0.24.1" description = "image and video datasets and models for torch deep learning" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torchvision-0.24.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ded5e625788572e4e1c4d155d1bbc48805c113794100d70e19c76e39e4d53465"}, {file = "torchvision-0.24.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:54ed17c3d30e718e08d8da3fd5b30ea44b0311317e55647cb97077a29ecbc25b"}, @@ -1677,6 +1747,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1698,6 +1769,7 @@ version = "4.48.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "transformers-4.48.3-py3-none-any.whl", hash = "sha256:78697f990f5ef350c23b46bf86d5081ce96b49479ab180b2de7687267de8fd36"}, {file = "transformers-4.48.3.tar.gz", hash = "sha256:a5e8f1e9a6430aa78215836be70cecd3f872d99eeda300f41ad6cc841724afdb"}, @@ -1767,6 +1839,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -1795,6 +1869,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1806,6 +1881,7 @@ version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -1820,18 +1896,19 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "fbd87d0c8cb341127fb41966365f2ae4f29a45212838124d171ffbd0fcfedd6a" +content-hash = "0e02162331a779c5cac566bffbabba4891a575b9480d2f87c1e925655ed2def5" diff --git a/security_scanning/examples/models/core/mllama/pyproject.toml b/security_scanning/examples/models/core/mllama/pyproject.toml index 28256d0287cd..06d086ded7c5 100644 --- a/security_scanning/examples/models/core/mllama/pyproject.toml +++ b/security_scanning/examples/models/core/mllama/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -nvidia-modelopt = {version = ">=0.21.0,<0.22.0", extras = ["torch"]} -transformers = "4.48.3" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "nvidia-modelopt[torch] (>=0.21.0,<0.22.0)", + "transformers (==4.48.3)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index 6656d47b81f5..e7124f2c87be 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", 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"sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -1513,6 +1637,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -1653,6 +1778,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -1674,6 +1800,7 @@ version = "0.1.2" description = "Pure python implementation of ROUGE-1.5.5." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "rouge_score-0.1.2.tar.gz", hash = "sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04"}, ] @@ -1690,6 +1817,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -1701,6 +1829,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1712,6 +1841,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1733,6 +1863,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1751,6 +1882,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1762,6 +1894,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1773,16 +1906,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1790,6 +1924,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -1939,6 +2074,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2078,6 +2214,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "b733a774957f884411d623d8eb9cb9dbd5947c588fe94fe8f414a118dc806c1a" +content-hash = "dea83d726b2f535994f0c63ae08ff606e50a3c3e8a27db8373645990ef2c938f" diff --git a/security_scanning/examples/models/core/nemotron/pyproject.toml b/security_scanning/examples/models/core/nemotron/pyproject.toml index 6aeed25bc43b..b49de73c80f2 100644 --- a/security_scanning/examples/models/core/nemotron/pyproject.toml +++ b/security_scanning/examples/models/core/nemotron/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index f467ecd2ed88..5f29ea825035 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", 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+1566,7 @@ version = "6.0.3" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -1524,6 +1649,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -1664,6 +1790,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -1685,6 +1812,7 @@ version = "0.1.2" description = "Pure python implementation of ROUGE-1.5.5." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "rouge_score-0.1.2.tar.gz", hash = "sha256:c7d4da2683e68c9abf0135ef915d63a46643666f848e558a1b9f7ead17ff0f04"}, ] @@ -1701,6 +1829,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -1712,6 +1841,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1723,6 +1853,7 @@ version = "0.6.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"}, {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"}, @@ -1775,6 +1906,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1796,6 +1928,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1814,6 +1947,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1825,6 +1959,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1836,16 +1971,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1853,6 +1989,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2002,6 +2139,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2141,6 +2279,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "465e93ad546537054f4b0151d5b686b5a70f149f8922917fdfd27ef1155bca1f" +content-hash = "0c34ccb46c9fef47bf7d30750df2c1167f32fce88c4a071132a36fcdb7d4a60d" diff --git a/security_scanning/examples/models/core/phi/pyproject.toml b/security_scanning/examples/models/core/phi/pyproject.toml index c70e92e00e3b..4d42630b9cff 100644 --- a/security_scanning/examples/models/core/phi/pyproject.toml +++ b/security_scanning/examples/models/core/phi/pyproject.toml @@ -1,19 +1,20 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -einops = ">=0.7.0,<0.8.0" -tiktoken = "0.6.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "einops (>=0.7.0,<0.8.0)", + "tiktoken (==0.6.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 675af166849b..c2e59106f6c7 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "23.2.1" description = "File support for asyncio." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"}, {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"}, @@ -28,6 +30,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -39,6 +42,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -173,7 +177,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiohttp-sse-client" @@ -181,6 +185,7 @@ version = "0.2.1" description = "A Server-Sent Event python client base on aiohttp" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "aiohttp-sse-client-0.2.1.tar.gz", hash = "sha256:5004e29271624af586158dc7166cb0687a7a5997aab5b808f4b53400e1b72e3b"}, {file = "aiohttp_sse_client-0.2.1-py2.py3-none-any.whl", hash = "sha256:42c81ee9213e9fc8bc412b063bac3a813e02e75250c4c8049222234d41c9b024"}, @@ -198,6 +203,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -213,6 +219,7 @@ version = "0.0.4" description = "Document parameters, class attributes, return types, and variables inline, with Annotated." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, @@ -224,6 +231,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -235,6 +243,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -246,7 +255,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -254,6 +263,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -265,6 +276,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -276,6 +288,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -287,6 +300,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -409,6 +423,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -423,6 +438,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -434,6 +451,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -456,17 +474,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -476,6 +494,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -491,6 +510,7 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -502,6 +522,7 @@ version = "0.8.1" description = "A new flavour of deep learning operations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, @@ -513,6 +534,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -521,7 +543,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -548,6 +570,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -565,6 +589,7 @@ version = "0.128.0" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fastapi-0.128.0-py3-none-any.whl", hash = "sha256:aebd93f9716ee3b4f4fcfe13ffb7cf308d99c9f3ab5622d8877441072561582d"}, {file = "fastapi-0.128.0.tar.gz", hash = "sha256:1cc179e1cef10a6be60ffe429f79b829dce99d8de32d7acb7e6c8dfdf7f2645a"}, @@ -587,6 +612,7 @@ version = "1.0.0" description = "A simple Python wrapper for FFmpeg" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ffmpy-1.0.0-py3-none-any.whl", hash = "sha256:5640e5f0fd03fb6236d0e119b16ccf6522db1c826fdf35dcb87087b60fd7504f"}, {file = "ffmpy-1.0.0.tar.gz", hash = "sha256:b12932e95435c8820f1cd041024402765f821971e4bae753b327fc02a6e12f8b"}, @@ -601,6 +627,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -612,6 +639,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -751,6 +779,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -793,6 +822,7 @@ version = "5.4.0" description = "Python library for easily interacting with trained machine learning models" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "gradio-5.4.0-py3-none-any.whl", hash = "sha256:e229e2a35f58010b208efabb56af5f4385813cf3f2845f7f0bc39819ff952fab"}, ] @@ -835,6 +865,7 @@ version = "1.4.2" description = "Python library for easily interacting with trained machine learning models" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "gradio_client-1.4.2-py3-none-any.whl", hash = "sha256:76a34996b4580939a3fbd10144fde04eced586c033b6cdcb315d69b1459136d1"}, {file = "gradio_client-1.4.2.tar.gz", hash = "sha256:07c5184ad6385f50f9e6eae3a262ad6afcf9380b6a400d070652f76e14222dbd"}, @@ -854,6 +885,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -865,6 +897,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -899,6 +933,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -920,6 +955,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -932,7 +968,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -944,6 +980,7 @@ 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generator, streaming out each token in real-time during inference, based on Huggingface/Transformers." optional = false python-versions = ">=3.5" +groups = ["main"] files = [ {file = "transformers-stream-generator-0.0.5.tar.gz", hash = "sha256:271deace0abf9c0f83b36db472c8ba61fdc7b04d1bf89d845644acac2795ed57"}, ] @@ -3078,6 +3254,8 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" files = [ {file = "typer-0.21.1-py3-none-any.whl", hash = "sha256:7985e89081c636b88d172c2ee0cfe33c253160994d47bdfdc302defd7d1f1d01"}, {file = "typer-0.21.1.tar.gz", hash = "sha256:ea835607cd752343b6b2b7ce676893e5a0324082268b48f27aa058bdb7d2145d"}, @@ -3095,6 +3273,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -3106,6 +3285,7 @@ version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -3120,6 +3300,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -3131,16 +3312,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "uvicorn" @@ -3148,6 +3330,8 @@ version = "0.40.0" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.10" +groups = ["main"] +markers = "sys_platform != \"emscripten\"" files = [ {file = "uvicorn-0.40.0-py3-none-any.whl", hash = "sha256:c6c8f55bc8bf13eb6fa9ff87ad62308bbbc33d0b67f84293151efe87e0d5f2ee"}, {file = "uvicorn-0.40.0.tar.gz", hash = "sha256:839676675e87e73694518b5574fd0f24c9d97b46bea16df7b8c05ea1a51071ea"}, @@ -3159,7 +3343,7 @@ h11 = ">=0.8" typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "websockets" @@ -3167,6 +3351,7 @@ version = "12.0" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"}, {file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"}, @@ -3248,6 +3433,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3397,6 +3583,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3536,6 +3723,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "647ab45595990afd7a10d38b442176a1860d03423fecad4f054f4fa046d54e94" +content-hash = "682f9d06d85cd1f7d3eabe81613e49fda499588c32fef580a447710ab7f0c9a5" diff --git a/security_scanning/examples/models/core/qwen/pyproject.toml b/security_scanning/examples/models/core/qwen/pyproject.toml index 64cc8f82009d..4fc73165560d 100644 --- a/security_scanning/examples/models/core/qwen/pyproject.toml +++ b/security_scanning/examples/models/core/qwen/pyproject.toml @@ -1,27 +1,28 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -transformers = ">=4.56.0" -transformers-stream-generator = "^0.0.5" -sentencepiece = ">=0.1.99" -tiktoken = "^0.12.0" -einops = "^0.8.1" -gradio = "5.4.0" -mdtex2html = "^1.3.2" -sse-starlette = "^3.1.2" -aiohttp-sse-client = "^0.2.1" -openai = "^2.15.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "transformers (>=4.56.0)", + "transformers-stream-generator (>=0.0.5,<0.0.6)", + "sentencepiece (>=0.1.99)", + "tiktoken (>=0.12.0,<0.13.0)", + "einops (>=0.8.1,<0.9.0)", + "gradio (==5.4.0)", + "mdtex2html (>=1.3.2,<2.0.0)", + "sse-starlette (>=3.2.0,<4.0.0)", + "aiohttp-sse-client (>=0.2.1,<0.3.0)", + "openai (>=2.15.0,<3.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 69bfbc37c815..f960d46ec6cb 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -196,6 +202,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -207,6 +214,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -218,6 +226,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -340,6 +349,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -354,6 +364,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -365,6 +377,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -387,17 +400,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax 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"sha256:2f27ae6deea72efdb6f361750c92f6c21fd0ad087445082770cc34015213c526"}, @@ -1736,6 +1860,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1747,6 +1872,7 @@ version = "0.12.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -1820,6 +1946,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -1861,6 +1988,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -1878,13 +2006,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -1956,6 +2085,7 @@ version = "0.0.5" description = "This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers." optional = false python-versions = ">=3.5" +groups = ["main"] files = [ {file = "transformers-stream-generator-0.0.5.tar.gz", hash = "sha256:271deace0abf9c0f83b36db472c8ba61fdc7b04d1bf89d845644acac2795ed57"}, ] @@ -1969,6 +2099,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1980,6 +2111,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1991,16 +2123,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2008,6 +2141,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2157,6 +2291,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2296,6 +2431,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "fdb4f694e7f939c2f6d1ab36f34338fb3ab3bb3fc6a7f4f42f6ad8953fb9f829" +content-hash = "64ac3d1b7012cdc444f09430175cdc81d67ff3aa89e63ada797d165290c993b1" diff --git a/security_scanning/examples/models/core/qwen2audio/pyproject.toml b/security_scanning/examples/models/core/qwen2audio/pyproject.toml index 1038da4038a1..943cd73a027f 100644 --- a/security_scanning/examples/models/core/qwen2audio/pyproject.toml +++ b/security_scanning/examples/models/core/qwen2audio/pyproject.toml @@ -1,22 +1,23 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -transformers = ">=4.45.0" -transformers-stream-generator = "^0.0.5" -sentencepiece = ">=0.1.99" -tiktoken = "^0.12.0" -einops = "^0.8.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "transformers (>=4.45.0)", + "transformers-stream-generator (>=0.0.5,<0.0.6)", + "sentencepiece (>=0.1.99)", + "tiktoken (>=0.12.0,<0.13.0)", + "einops (>=0.8.1,<0.9.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 161adc1a3d07..e1538df8fd2a 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,8 @@ version = "1.3.2" description = "Python library for calculating contours of 2D quadrilateral grids" optional = false python-versions = ">=3.10" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"}, {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"}, @@ -454,12 +469,106 @@ mypy = ["bokeh", "contourpy[bokeh,docs]", 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"pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -517,6 +627,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -532,6 +643,7 @@ version = "0.8.1" description = "A new flavour of deep learning operations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, @@ -543,6 +655,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -551,7 +664,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -578,6 +691,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -595,6 +710,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -606,6 +722,7 @@ version = "4.61.1" description = "Tools to manipulate font files" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c7db70d57e5e1089a274cbb2b1fd635c9a24de809a231b154965d415d6c6d24"}, {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5fe9fd43882620017add5eabb781ebfbc6998ee49b35bd7f8f79af1f9f99a958"}, @@ -660,17 +777,17 @@ files = [ ] [package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.45.0)", "unicodedata2 (>=17.0.0)", "xattr", "zopfli (>=0.1.4)"] +all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; 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[[package]] name = "frozenlist" @@ -678,6 +795,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -817,6 +935,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -859,6 +978,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -870,6 +990,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -904,6 +1026,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -925,6 +1048,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -937,7 +1061,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -949,6 +1073,7 @@ version = "1.3.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, @@ -984,6 +1109,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -998,6 +1124,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1015,6 +1142,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -1026,6 +1154,7 @@ version = "1.4.9" description = "A fast implementation of the Cassowary constraint solver" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"}, {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"}, @@ -1136,6 +1265,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1234,6 +1364,7 @@ version = "3.10.8" description = "Python plotting package" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"}, {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"}, @@ -1312,6 +1443,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -1320,7 +1452,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -1329,6 +1461,7 @@ version = "6.7.0" description = "multidict implementation" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "multidict-6.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:9f474ad5acda359c8758c8accc22032c6abe6dc87a8be2440d097785e27a9349"}, {file = "multidict-6.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b7a9db5a870f780220e931d0002bbfd88fb53aceb6293251e2c839415c1b20e"}, @@ -1487,6 +1620,7 @@ version = "0.70.16" description = "better multiprocessing and multithreading in Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"}, {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"}, @@ -1511,6 +1645,8 @@ version = "3.4.2" 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"Unsupervised text tokenizer and detokenizer." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sentencepiece-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e10fa50bdbaa5e2445dbd387979980d391760faf0ec99a09bd7780ff37eaec44"}, {file = "sentencepiece-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f27ae6deea72efdb6f361750c92f6c21fd0ad087445082770cc34015213c526"}, @@ -2640,19 +2930,21 @@ version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "python_version == \"3.12\"" files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] -core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "shellingham" @@ -2660,6 +2952,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -2671,6 +2964,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -2682,6 +2976,7 @@ version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -2699,6 +2994,7 @@ version = "0.12.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3de02f5a491cfd179aec916eddb70331814bd6bf764075d39e21d5862e533970"}, {file = "tiktoken-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6cfb6d9b7b54d20af21a912bfe63a2727d9cfa8fbda642fd8322c70340aad16"}, @@ -2772,6 +3068,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -2813,6 +3110,7 @@ version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -2880,6 +3178,7 @@ version = "0.24.1" description = "image and video datasets and models for torch deep learning" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torchvision-0.24.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ded5e625788572e4e1c4d155d1bbc48805c113794100d70e19c76e39e4d53465"}, {file = "torchvision-0.24.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:54ed17c3d30e718e08d8da3fd5b30ea44b0311317e55647cb97077a29ecbc25b"}, @@ -2926,6 +3225,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -2947,6 +3247,7 @@ version = "5.0.0rc3" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" +groups = ["main"] files = [ {file = "transformers-5.0.0rc3-py3-none-any.whl", hash = "sha256:383fad27f4f73092d330e45fae384681e5c8521e1dc1cf6cb1a297780e68bf2d"}, {file = "transformers-5.0.0rc3.tar.gz", hash = "sha256:a0315b92b7e087617ade42ec9e6e92ee7620541cc5d6a3331886c52cbe306f5c"}, @@ -3013,6 +3314,7 @@ version = "0.0.5" description = "This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers." optional = false python-versions = ">=3.5" +groups = ["main"] files = [ {file = "transformers-stream-generator-0.0.5.tar.gz", hash = "sha256:271deace0abf9c0f83b36db472c8ba61fdc7b04d1bf89d845644acac2795ed57"}, ] @@ -3026,6 +3328,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -3054,6 +3358,7 @@ version = "0.21.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -3072,6 +3377,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -3083,6 +3389,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -3094,16 +3401,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -3111,6 +3419,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3260,6 +3569,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3399,6 +3709,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "8e132d98c6eeeb321a2a7ce259a8cfb2edcea6e965c33cd9927d02847540f452" +content-hash = "a55f6d28278c9f6107bfc5d3e71082d16b46e26fc96b28c37593e171bffecebc" diff --git a/security_scanning/examples/models/core/qwenvl/pyproject.toml b/security_scanning/examples/models/core/qwenvl/pyproject.toml index f975fd14fbeb..ba07fc49428e 100644 --- a/security_scanning/examples/models/core/qwenvl/pyproject.toml +++ b/security_scanning/examples/models/core/qwenvl/pyproject.toml @@ -1,23 +1,24 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -transformers-stream-generator = "^0.0.5" -sentencepiece = ">=0.1.99" -tiktoken = "^0.12.0" -einops = "^0.8.1" -matplotlib = "^3.10.8" -torchvision = "^0.24.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "transformers-stream-generator (>=0.0.5,<0.0.6)", + "sentencepiece (>=0.1.99)", + "tiktoken (>=0.12.0,<0.13.0)", + "einops (>=0.8.1,<0.9.0)", + "matplotlib (>=3.10.8,<4.0.0)", + "torchvision (>=0.24.1,<0.25.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index c5324f17ff48..2148a2017642 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -1,14 +1,15 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" -version = "2.3.1" +version = "1.4.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false -python-versions = ">=3.8" +python-versions = ">=3.6" +groups = ["main"] files = [ - {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, - {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, + {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"}, + {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"}, ] [[package]] @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -196,6 +202,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -207,6 +214,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -218,6 +226,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -340,6 +349,7 @@ version = "0.1.90" description = "Chex: Testing made fun, in JAX!" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "chex-0.1.90-py3-none-any.whl", hash = "sha256:fce3de82588f72d4796e545e574a433aa29229cbdcf792555e41bead24b704ae"}, {file = "chex-0.1.90.tar.gz", hash = "sha256:d3c375aeb6154b08f1cccd2bee4ed83659ee2198a6acf1160d2fe2e4a6c87b5c"}, @@ -360,6 +370,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -374,6 +385,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -385,6 +398,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -407,17 +421,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -427,6 +441,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -436,12 +451,25 @@ files = [ graph = ["objgraph (>=1.7.2)"] profile = ["gprof2dot (>=2022.7.29)"] +[[package]] +name = "einops" +version = "0.7.0" +description = "A new flavour of deep learning operations" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "einops-0.7.0-py3-none-any.whl", hash = "sha256:0f3096f26b914f465f6ff3c66f5478f9a5e380bb367ffc6493a68143fbbf1fd1"}, + {file = "einops-0.7.0.tar.gz", hash = "sha256:b2b04ad6081a3b227080c9bf5e3ace7160357ff03043cd66cc5b2319eb7031d1"}, +] + [[package]] name = "etils" version = "1.13.0" description = "Collection of common python utils" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -450,7 +478,7 @@ files = [ [package.dependencies] fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} importlib_resources = {version = "*", optional = true, markers = "extra == \"epath\""} -typing_extensions = {version = "*", optional = true, markers = "extra == \"epy\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} zipp = {version = "*", optional = true, markers = "extra == \"epath\""} [package.extras] @@ -479,6 +507,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -487,7 +516,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -514,6 +543,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -525,6 +555,7 @@ version = "0.10.4" description = "Flax: A neural network library for JAX designed for flexibility" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "flax-0.10.4-py3-none-any.whl", hash = "sha256:8cc83d91654ff943909730e02e858b4cd4577531373f83abe6597c58c581032d"}, {file = "flax-0.10.4.tar.gz", hash = "sha256:57ae44d3f111fc85cff9049adb9684ce8ebd44e87bd8ca776ed52422c2d85021"}, @@ -535,7 +566,7 @@ jax = ">=0.4.27" msgpack = "*" numpy = [ {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, ] optax = "*" orbax-checkpoint = "*" @@ -549,7 +580,7 @@ typing_extensions = ">=4.2" all = ["matplotlib"] dev = ["pre-commit (>=3.8.0)"] docs = ["Pygments (>=2.6.1)", "dm-haiku", "docutils (==0.16)", "einops", "ipykernel", "ipython_genutils", "ipywidgets (>=8.1.5)", "jupytext (==1.13.8)", "kagglehub (>=0.3.3)", "matplotlib", "ml_collections", "myst_nb", "nbstripout", "recommonmark", "scikit-learn", "sphinx (>=3.3.1)", "sphinx-book-theme", "sphinx-design"] -testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0)", "torch", "treescope (>=0.1.1)"] +testing = ["cloudpickle (>=3.0.0)", "clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6.dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom_exit_code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow_datasets", "tensorflow_text (>=2.11.0) ; platform_system != \"Darwin\"", "torch", "treescope (>=0.1.1) ; python_version >= \"3.10\""] [[package]] name = "frozenlist" @@ -557,6 +588,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -696,6 +728,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -738,6 +771,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -772,6 +807,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -788,16 +824,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -810,6 +846,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -824,13 +861,14 @@ version = "6.5.2" description = "Read resources from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; 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research in IPython notebooks." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "treescope-0.1.10-py3-none-any.whl", hash = "sha256:dde52f5314f4c29d22157a6fe4d3bd103f9cae02791c9e672eefa32c9aa1da51"}, {file = "treescope-0.1.10.tar.gz", hash = "sha256:20f74656f34ab2d8716715013e8163a0da79bdc2554c16d5023172c50d27ea95"}, @@ -2498,6 +2709,7 @@ version = "2.13.3" description = "Run-time type checker for Python" optional = false python-versions = ">=3.5.3" +groups = ["main"] files = [ {file = "typeguard-2.13.3-py3-none-any.whl", hash = "sha256:5e3e3be01e887e7eafae5af63d1f36c849aaa94e3a0112097312aabfa16284f1"}, {file = "typeguard-2.13.3.tar.gz", hash = "sha256:00edaa8da3a133674796cf5ea87d9f4b4c367d77476e185e80251cc13dfbb8c4"}, @@ -2505,7 +2717,7 @@ files = [ [package.extras] doc = ["sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["mypy", "pytest", "typing-extensions"] +test = ["mypy ; platform_python_implementation != \"PyPy\"", "pytest", "typing-extensions"] [[package]] name = "typing-extensions" @@ -2513,6 +2725,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -2524,6 +2737,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -2535,16 +2749,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2552,6 +2767,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = 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hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -2859,6 +3077,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "1af9d5505ea2ef51583750f41db0bc015b78bed4f1eede000eece9512f4b2eb3" +content-hash = "85b015ccc5d903ef2d051dd32f6ad06b4dd42f67baa74fa76e3f10386f3635e8" diff --git a/security_scanning/examples/models/core/recurrentgemma/pyproject.toml b/security_scanning/examples/models/core/recurrentgemma/pyproject.toml index 759bc7309ed7..5441e2cf30f6 100644 --- a/security_scanning/examples/models/core/recurrentgemma/pyproject.toml +++ b/security_scanning/examples/models/core/recurrentgemma/pyproject.toml @@ -1,23 +1,25 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -flax = ">=0.8.2" -jax = ">=0.4.23,<0.5.0" -orbax-checkpoint = "0.5.7" -transformers = ">=4.56.0" -datasets = "3.1.0" -evaluate = "^0.4.6" -rouge-score = "^0.1.2" -sentencepiece = "^0.2.1" -jaxtyping = "<=0.2.34" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "recurrentgemma @ git+https://github.com/google-deepmind/recurrentgemma.git@8a32e365", + "flax (>=0.8.2)", + "jax (>=0.4.23,<0.5.0)", + "orbax-checkpoint (==0.5.7)", + "transformers (>=4.56.0)", + "datasets (==3.1.0)", + "evaluate (>=0.4.6,<0.5.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.2.1,<0.3.0)", + "jaxtyping (<=0.2.34)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index 82b74aa16784..fa2f8f299ff8 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -6,6 +6,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -17,6 +18,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -151,7 +153,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -159,6 +161,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -174,6 +177,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -185,6 +190,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -196,6 +202,7 @@ version = "3.1.0" description = "Multi-library, cross-platform audio decoding." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "audioread-3.1.0-py3-none-any.whl", hash = "sha256:b30d1df6c5d3de5dcef0fb0e256f6ea17bdcf5f979408df0297d8a408e2971b4"}, {file = "audioread-3.1.0.tar.gz", hash = "sha256:1c4ab2f2972764c896a8ac61ac53e261c8d29f0c6ccd652f84e18f08a4cab190"}, @@ -212,6 +219,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -223,6 +231,7 @@ version = "2.0.0" description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"}, {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"}, @@ -319,6 +328,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -441,6 +451,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -452,6 +464,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -474,17 +487,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -494,6 +507,7 @@ version = "5.2.1" description = "Decorators for Humans" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, @@ -505,6 +519,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -520,6 +535,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -531,6 +547,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -670,6 +687,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -712,6 +730,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -746,6 +766,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -762,16 +783,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", 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"urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2916,6 +3188,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3065,6 +3338,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3204,6 +3478,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "d5ee3222d57d3b8db3e92aa05321adc680f8a22a2581771b9705553ce34acdd9" +content-hash = "7dad9eef9ef6eadbe7aabc7a867cc8ee3093463880482f1d55554a980fa35bec" diff --git a/security_scanning/examples/models/core/whisper/pyproject.toml b/security_scanning/examples/models/core/whisper/pyproject.toml index f656e5f593c5..d01fbf7b20e5 100644 --- a/security_scanning/examples/models/core/whisper/pyproject.toml +++ b/security_scanning/examples/models/core/whisper/pyproject.toml @@ -1,23 +1,24 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -tiktoken = "^0.12.0" -datasets = "3.1.0" -kaldialign = "^0.9.3" -openai-whisper = "^20250625" -librosa = "^0.11.0" -soundfile = "^0.13.1" -safetensors = "^0.7.0" -transformers = "^4.57.5" -janus = "^2.0.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "tiktoken (>=0.12.0,<0.13.0)", + "datasets (==3.1.0)", + "kaldialign (>=0.9.3,<0.10.0)", + "openai-whisper (>=20250625,<20250626)", + "librosa (>=0.11.0,<0.12.0)", + "soundfile (>=0.13.1,<0.14.0)", + "safetensors (>=0.7.0,<0.8.0)", + "transformers (>=4.57.6,<5.0.0)", + "janus (>=2.0.0,<3.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index ad3f91a08e6f..544aa2970745 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -449,7 +465,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -476,6 +492,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -493,6 +511,7 @@ version = "3.20.3" description = "A platform independent file lock." 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1819,6 +1952,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1830,6 +1964,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1841,16 +1976,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1858,6 +1994,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2007,6 +2144,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2146,6 +2284,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "c008a816bec2117f5a4099a8e69b3f74332cd2e63d01efb904bbd594589d6b2a" +content-hash = "ea2da678c84bce034f103de2268ca615ec4a499b5c903aad17084c5a06504906" diff --git a/security_scanning/examples/ngram/pyproject.toml b/security_scanning/examples/ngram/pyproject.toml index 384683b52fa3..ade4bf6f44b7 100644 --- a/security_scanning/examples/ngram/pyproject.toml +++ b/security_scanning/examples/ngram/pyproject.toml @@ -1,19 +1,20 @@ -[tool.poetry] +[project] name = "ngram-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99,<0.2.0" -evaluate = "^0.4.6" -ordered-set = "^4.1.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99,<0.2.0)", + "evaluate (>=0.4.6,<0.5.0)", + "ordered-set (>=4.1.0,<5.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 60c129b4b638..8de41a4bf847 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf 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build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1972,6 +2108,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1983,6 +2120,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1994,16 +2132,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -2011,6 +2150,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2160,6 +2300,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2299,6 +2440,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "5699888dd12b1a45d74290f99a76eb2a6f9d6c5f637b38b415c01c11c3e88583" +content-hash = "335fff5df98a33c4838df5006b9eedb31d738c5e030ead77a85feee370747a14" diff --git a/security_scanning/examples/quantization/pyproject.toml b/security_scanning/examples/quantization/pyproject.toml index c011b9ab3fe0..f8da981fe5ea 100644 --- a/security_scanning/examples/quantization/pyproject.toml +++ b/security_scanning/examples/quantization/pyproject.toml @@ -1,19 +1,20 @@ -[tool.poetry] +[project] name = "quantization-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -transformers-stream-generator = "0.0.4" -tiktoken = "^0.12.0" -mpmath = "1.3.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "transformers-stream-generator (==0.0.4)", + "tiktoken (>=0.12.0,<0.13.0)", + "mpmath (==1.3.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index 91ddb5e75f3e..df97c65818a1 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -6,6 +6,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -17,6 +18,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -151,7 +153,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiohttp-cors" @@ -159,6 +161,7 @@ version = "0.8.1" description = "CORS support for aiohttp" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp_cors-0.8.1-py3-none-any.whl", hash = "sha256:3180cf304c5c712d626b9162b195b1db7ddf976a2a25172b35bb2448b890a80d"}, {file = "aiohttp_cors-0.8.1.tar.gz", hash = "sha256:ccacf9cb84b64939ea15f859a146af1f662a6b1d68175754a07315e305fb1403"}, @@ -173,6 +176,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -188,6 +192,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -199,6 +204,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -210,6 +217,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -221,6 +229,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -232,6 +241,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -354,6 +364,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -368,6 +379,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -379,6 +392,7 @@ version = "0.5.8" description = "Terminal string styling done right, in Python." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "colorful-0.5.8-py2.py3-none-any.whl", hash = "sha256:a9381fdda3337fbaba5771991020abc69676afa102646650b759927892875992"}, {file = "colorful-0.5.8.tar.gz", hash = "sha256:bb16502b198be2f1c42ba3c52c703d5f651d826076817185f0294c1a549a7445"}, @@ -393,6 +407,7 @@ version = "0.4.0" description = "Distribution utilities" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16"}, {file = "distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d"}, @@ -404,6 +419,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -415,6 +431,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -554,6 +571,7 @@ version = "2.29.0" description = "Google API client core library" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "google_api_core-2.29.0-py3-none-any.whl", hash = "sha256:d30bc60980daa36e314b5d5a3e5958b0200cb44ca8fa1be2b614e932b75a3ea9"}, {file = "google_api_core-2.29.0.tar.gz", hash = "sha256:84181be0f8e6b04006df75ddfe728f24489f0af57c96a529ff7cf45bc28797f7"}, @@ -568,7 +586,7 @@ requests = ">=2.18.0,<3.0.0" [package.extras] async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"] -grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0)", "grpcio-status (>=1.75.1,<2.0.0)"] +grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.75.1,<2.0.0) ; python_version >= \"3.14\""] grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] @@ -578,6 +596,7 @@ version = "2.47.0" description = "Google Authentication Library" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "google_auth-2.47.0-py3-none-any.whl", hash = "sha256:c516d68336bfde7cf0da26aab674a36fedcf04b37ac4edd59c597178760c3498"}, {file = "google_auth-2.47.0.tar.gz", hash = "sha256:833229070a9dfee1a353ae9877dcd2dec069a8281a4e72e72f77d4a70ff945da"}, @@ -604,6 +623,7 @@ version = "1.72.0" description = "Common protobufs used in Google APIs" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "googleapis_common_protos-1.72.0-py3-none-any.whl", hash = "sha256:4299c5a82d5ae1a9702ada957347726b167f9f8d1fc352477702a1e851ff4038"}, {file = "googleapis_common_protos-1.72.0.tar.gz", hash = "sha256:e55a601c1b32b52d7a3e65f43563e2aa61bcd737998ee672ac9b951cd49319f5"}, @@ -621,6 +641,7 @@ version = "1.76.0" description = "HTTP/2-based RPC framework" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "grpcio-1.76.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:65a20de41e85648e00305c1bb09a3598f840422e522277641145a32d42dcefcc"}, {file = "grpcio-1.76.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:40ad3afe81676fd9ec6d9d406eda00933f218038433980aa19d401490e46ecde"}, @@ -697,6 +718,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -711,6 +733,7 @@ version = "8.7.1" description = "Read metadata from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, @@ -720,13 +743,13 @@ files = [ zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=3.4)"] perf = ["ipython"] test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19)", "pytest-mypy (>=1.0.1)"] +type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] [[package]] name = "jsonschema" @@ -734,6 +757,7 @@ version = "4.26.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"}, {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"}, @@ -741,7 +765,7 @@ files = [ [package.dependencies] attrs = ">=22.2.0" -jsonschema-specifications = ">=2023.03.6" +jsonschema-specifications = ">=2023.3.6" referencing = ">=0.28.4" rpds-py = ">=0.25.0" @@ -755,6 +779,7 @@ version = "2025.9.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"}, {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"}, @@ -769,6 +794,7 @@ version = "1.1.2" description = "MessagePack serializer" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "msgpack-1.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0051fffef5a37ca2cd16978ae4f0aef92f164df86823871b5162812bebecd8e2"}, {file = "msgpack-1.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a605409040f2da88676e9c9e5853b3449ba8011973616189ea5ee55ddbc5bc87"}, @@ -840,6 +866,7 @@ version = "6.7.0" description = "multidict implementation" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "multidict-6.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = 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description = "OpenTelemetry Python Proto" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "opentelemetry_proto-1.39.1-py3-none-any.whl", hash = "sha256:22cdc78efd3b3765d09e68bfbd010d4fc254c9818afd0b6b423387d9dee46007"}, {file = "opentelemetry_proto-1.39.1.tar.gz", hash = "sha256:6c8e05144fc0d3ed4d22c2289c6b126e03bcd0e6a7da0f16cedd2e1c2772e2c8"}, @@ -1070,6 +1102,7 @@ version = "1.39.1" description = "OpenTelemetry Python SDK" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "opentelemetry_sdk-1.39.1-py3-none-any.whl", hash = "sha256:4d5482c478513ecb0a5d938dcc61394e647066e0cc2676bee9f3af3f3f45f01c"}, {file = "opentelemetry_sdk-1.39.1.tar.gz", hash = "sha256:cf4d4563caf7bff906c9f7967e2be22d0d6b349b908be0d90fb21c8e9c995cc6"}, @@ -1086,6 +1119,7 @@ version = "0.60b1" description = "OpenTelemetry Semantic Conventions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = 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python_version >= \"3.10\"", "gymnasium (==1.1.1)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "pyyaml", "ray-cpp (==2.53.0)", "requests", "scipy", "smart_open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] +cgraph = ["cupy-cuda12x ; sys_platform != \"darwin\""] +client = ["grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\""] cpp = ["ray-cpp (==2.53.0)"] data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=9.0.0)"] -default = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", 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(>=3.7)", "aiohttp_cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "virtualenv (>=20.0.24,!=20.21.1)"] +llm = ["aiohttp (>=3.7)", "aiohttp_cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "hf_transfer", "jsonref (>=1.1.0)", "jsonschema", "meson", "ninja", "nixl (>=0.6.1)", "numpy (>=1.20)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "pandas (>=1.3)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (>=9.0.0)", "pybind11", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "transformers (>=4.57.3)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm[audio] (>=0.12.0)", "watchfiles"] +observability = ["memray ; sys_platform != \"win32\""] rllib = ["dm_tree", "fsspec", "gymnasium (==1.1.1)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"] -serve = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] -serve-async-inference = ["aiohttp (>=3.7)", "aiohttp_cors", "celery", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] -serve-grpc = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0)", "py-spy (>=0.4.0)", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] +serve = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] +serve-async-inference = ["aiohttp (>=3.7)", "aiohttp_cors", "celery", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] +serve-grpc = ["aiohttp (>=3.7)", "aiohttp_cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] train = ["fsspec", "pandas", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "tensorboardX (>=1.9)"] tune = ["fsspec", "pandas", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "tensorboardX (>=1.9)"] @@ -1661,6 +1708,7 @@ version = "0.37.0" description = "JSON Referencing + Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231"}, {file = "referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8"}, @@ -1677,6 +1725,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -1698,6 +1747,7 @@ version = "0.30.0" description = "Python bindings to Rust's persistent data structures (rpds)" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "rpds_py-0.30.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:679ae98e00c0e8d68a7fda324e16b90fd5260945b45d3b824c892cec9eea3288"}, {file = "rpds_py-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4cc2206b76b4f576934f0ed374b10d7ca5f457858b157ca52064bdfc26b9fc00"}, @@ -1822,6 +1872,7 @@ version = "4.9.1" description = "Pure-Python RSA implementation" optional = false python-versions = "<4,>=3.6" +groups = ["main"] files = [ {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"}, {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"}, @@ -1836,6 +1887,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -1847,6 +1899,7 @@ version = "7.5.0" description = "Utils for streaming large files (S3, HDFS, GCS, SFTP, Azure Blob Storage, gzip, bz2, zst...)" optional = false python-versions = "<4.0,>=3.9" +groups = ["main"] files = [ {file = "smart_open-7.5.0-py3-none-any.whl", hash = "sha256:87e695c5148bbb988f15cec00971602765874163be85acb1c9fb8abc012e6599"}, {file = "smart_open-7.5.0.tar.gz", hash = "sha256:f394b143851d8091011832ac8113ea4aba6b92e6c35f6e677ddaaccb169d7cb9"}, @@ -1858,13 +1911,13 @@ wrapt = "*" [package.extras] all = ["smart_open[azure,gcs,http,s3,ssh,webhdfs,zst]"] azure = ["azure-common", "azure-core", "azure-storage-blob"] -gcs = ["google-api-core (<2.28)", "google-cloud-storage (>=2.6.0)"] +gcs = ["google-api-core (<2.28) ; python_version < \"3.10\"", "google-cloud-storage (>=2.6.0)"] http = ["requests"] s3 = ["boto3 (>=1.9.17)"] ssh = ["paramiko"] test = ["awscli", "flake8", "moto[server]", "numpy", "pyopenssl", "pytest", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist[psutil]", "pytest_benchmark", "responses", "smart_open[all]"] webhdfs = ["requests"] -zst = ["backports.zstd (>=1.0.0)"] +zst = ["backports.zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "typing-extensions" @@ -1872,6 +1925,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1883,6 +1937,7 @@ version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, @@ -1897,16 +1952,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "virtualenv" @@ -1914,6 +1970,7 @@ version = "20.36.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "virtualenv-20.36.1-py3-none-any.whl", hash = "sha256:575a8d6b124ef88f6f51d56d656132389f961062a9177016a50e4f507bbcc19f"}, {file = "virtualenv-20.36.1.tar.gz", hash = "sha256:8befb5c81842c641f8ee658481e42641c68b5eab3521d8e092d18320902466ba"}, @@ -1927,7 +1984,7 @@ typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\"" [package.extras] docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] -test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] [[package]] name = "wrapt" @@ -1935,6 +1992,7 @@ version = "2.0.1" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "wrapt-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:64b103acdaa53b7caf409e8d45d39a8442fe6dcfec6ba3f3d141e0cc2b5b4dbd"}, {file = "wrapt-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91bcc576260a274b169c3098e9a3519fb01f2989f6d3d386ef9cbf8653de1374"}, @@ -2054,6 +2112,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2198,13 +2257,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -2212,6 +2272,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "89165db124a381d5ce9e301a6e6d062091a9c415d6edf2ec6f4c61a730190708" +content-hash = "8597f12cc4ca056b1ea641dbd9b022fc9011dd41bf4c59338204b75bc4dee22d" diff --git a/security_scanning/examples/ray_orchestrator/pyproject.toml b/security_scanning/examples/ray_orchestrator/pyproject.toml index c14feca05269..7108f64a5f51 100644 --- a/security_scanning/examples/ray_orchestrator/pyproject.toml +++ b/security_scanning/examples/ray_orchestrator/pyproject.toml @@ -1,15 +1,16 @@ -[tool.poetry] +[project] name = "ray-orchestrator-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -ray = {extras = ["default"], version = "^2.53.0"} +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "ray[default] (>=2.53.0,<3.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 81a211d91cf5..5aa7d009098a 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -28,6 +30,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -162,7 +165,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -170,6 +173,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -185,6 +189,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -196,7 +201,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -204,6 +209,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -215,6 +222,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -226,6 +234,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -237,6 +246,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -359,6 +369,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -373,6 +384,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -384,6 +397,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -406,17 +420,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -426,6 +440,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -441,6 +456,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -449,7 +465,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -476,6 +492,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -493,6 +511,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -504,6 +523,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -643,6 +663,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -685,6 +706,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -696,6 +718,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, @@ -1829,6 +1961,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -1840,6 +1973,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1851,16 +1985,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "xxhash" @@ -1868,6 +2003,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -2017,6 +2153,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -2156,6 +2293,6 @@ multidict = ">=4.0" propcache = ">=0.2.1" [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f473e85b2d6b0bf8d5ea2bbad0badcc72c62012b9221de9575df1c7bab0760af" +content-hash = "24cdc2fcd697c95206d488c7e95a21f441d72dafce3a8fa5015c51273af83c00" diff --git a/security_scanning/examples/redrafter/pyproject.toml b/security_scanning/examples/redrafter/pyproject.toml index 6d7cf60086e3..529377e3de5c 100644 --- a/security_scanning/examples/redrafter/pyproject.toml +++ b/security_scanning/examples/redrafter/pyproject.toml @@ -1,18 +1,19 @@ -[tool.poetry] +[project] name = "redrafter-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -datasets = "3.1.0" -rouge-score = "^0.1.2" -sentencepiece = ">=0.1.99" -evaluate = "^0.4.6" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "datasets (==3.1.0)", + "rouge-score (>=0.1.2,<0.2.0)", + "sentencepiece (>=0.1.99)", + "evaluate (>=0.4.6,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock index 76e518950c13..166e22bcb7a2 100644 --- a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock +++ b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "antlr4-python3-runtime" @@ -6,6 +6,7 @@ version = "4.7.2" description = "ANTLR 4.7.2 runtime for Python 3.6.3" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "antlr4-python3-runtime-4.7.2.tar.gz", hash = "sha256:168cdcec8fb9152e84a87ca6fd261b3d54c8f6358f42ab3b813b14a7193bb50b"}, ] @@ -16,6 +17,7 @@ version = "1.9.1" description = "Convert latex to sympy with ANTLR and support Matrix, Linear Algebra and CAS functions." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "latex2sympy2-1.9.1-py3-none-any.whl", hash = "sha256:44f24d263d235164a91173167a30d449f4360e3f0a59239ce6b843c50a41c601"}, ] @@ -30,6 +32,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -38,7 +41,7 @@ files = [ [package.extras] develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4)"] +gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] tests = ["pytest (>=4.6)"] [[package]] @@ -47,6 +50,7 @@ version = "1.14.0" description = "Computer algebra system (CAS) in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, @@ -64,11 +68,12 @@ version = "1.1" description = "Convert number words eg. three hundred and forty two to numbers (342)." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "word2number-1.1.zip", hash = "sha256:70e27a5d387f67b04c71fbb7621c05930b19bfd26efd6851e6e0f9969dcde7d0"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "7388346b17dfce54931b1bc95f4ec053ff53b62e6f9e872523553e7a54751b10" +content-hash = "be37982ce1a794e4b30e0edf46062a9f00456a47820130b5b588fdb57035c125" diff --git a/security_scanning/examples/scaffolding/contrib/Dynasor/pyproject.toml b/security_scanning/examples/scaffolding/contrib/Dynasor/pyproject.toml index dac999e262ec..68f907481beb 100644 --- a/security_scanning/examples/scaffolding/contrib/Dynasor/pyproject.toml +++ b/security_scanning/examples/scaffolding/contrib/Dynasor/pyproject.toml @@ -1,16 +1,17 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -latex2sympy2 = "^1.9.1" -word2number = "^1.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "latex2sympy2 (>=1.9.1,<2.0.0)", + "word2number (>=1.1,<2.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 9e5d64e68b32..8149b7012fb9 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. 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platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "uvloop" @@ -2637,6 +4038,8 @@ version = "0.21.0" description = "Fast implementation of asyncio event loop on top of libuv" optional = false python-versions = ">=3.8.0" +groups = ["main"] +markers = "platform_system != \"Windows\"" files = [ {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"}, {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"}, @@ -2682,12 +4085,31 @@ dev = ["Cython (>=3.0,<4.0)", "setuptools (>=60)"] docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"] test = ["aiohttp (>=3.10.5)", "flake8 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"jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "7fd3624c85414a9a8ff7a40ece401bbcd08c7d8ceed6efff3caae1adcbb2da34" +content-hash = "2e5c4759efebb88c660804536f04b0f875501d384eed7fdbd62f592bed042a77" diff --git a/security_scanning/examples/serve/pyproject.toml b/security_scanning/examples/serve/pyproject.toml index 8e9662524a1e..07fa8dbc4ead 100644 --- a/security_scanning/examples/serve/pyproject.toml +++ b/security_scanning/examples/serve/pyproject.toml @@ -1,15 +1,16 @@ -[tool.poetry] +[project] name = "serve-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -aiperf = "^0.3.0" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "aiperf (>=0.4.0,<0.5.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index f882fa0f2f98..a2a134565d4c 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "absl-py" @@ -6,6 +6,7 @@ version = "2.3.1" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"}, {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"}, @@ -17,6 +18,7 @@ version = "1.12.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" +groups = ["main"] files = [ {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, @@ -49,6 +51,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -60,6 +63,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -194,7 +198,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -202,6 +206,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -217,6 +222,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -228,7 +234,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] [[package]] name = "async-timeout" @@ -236,6 +242,8 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -247,6 +255,7 @@ version = "25.4.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, @@ -258,6 +267,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -269,6 +279,7 @@ version = "5.2.0" description = "Universal encoding detector for Python 3" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"}, {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"}, @@ -280,6 +291,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -402,6 +414,7 @@ version = "8.3.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, @@ -416,6 +429,7 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -427,6 +441,7 @@ version = "1.1.0" description = "Python library for extract property from data." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "DataProperty-1.1.0-py3-none-any.whl", hash = "sha256:c61fcb2e2deca35e6d1eb1f251a7f22f0dcde63e80e61f0cc18c19f42abfd25b"}, {file = "dataproperty-1.1.0.tar.gz", hash = "sha256:b038437a4097d1a1c497695c3586ea34bea67fdd35372b9a50f30bf044d77d04"}, @@ -446,6 +461,7 @@ version = "4.5.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "datasets-4.5.0-py3-none-any.whl", hash = "sha256:b5d7e08096ffa407dd69e58b1c0271c9b2506140839b8d99af07375ad31b6726"}, {file = "datasets-4.5.0.tar.gz", hash = "sha256:00c698ce1c2452e646cc5fad47fef39d3fe78dd650a8a6eb205bb45eb63cd500"}, @@ -470,7 +486,7 @@ xxhash = "*" [package.extras] audio = ["torch (>=2.8.0)", "torchcodec (>=0.6.0)"] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] nibabel = ["ipyniivue (==2.4.2)", "nibabel (>=5.3.2)"] @@ -478,8 +494,8 @@ pdfs = ["pdfplumber (>=0.11.4)"] quality = ["ruff (>=0.3.0)"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4)", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\" and sys_platform != \"win32\" and python_version < \"3.14\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\" and sys_platform != \"win32\"", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "aiohttp", "decorator", "elasticsearch (>=7.17.12,<8.0.0)", "h5py", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark ; python_version < \"3.14\"", "lz4 ; python_version < \"3.14\"", "moto[server]", "nibabel (>=5.3.1)", "numba (>=0.56.4) ; python_version < \"3.14\"", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pylance", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "sqlalchemy", "tiktoken", "torch (>=2.8.0)", "torchcodec (>=0.7.0) ; python_version < \"3.14\"", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -489,6 +505,7 @@ version = "0.4.0" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049"}, {file = "dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0"}, @@ -504,6 +521,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -512,7 +530,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -539,6 +557,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -556,6 +576,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -567,6 +588,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -706,6 +728,7 @@ version = "2025.10.0" description = "File-system specification" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"}, {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"}, @@ -739,7 +762,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -748,6 +771,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -759,6 +783,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -793,6 +819,7 @@ version = "1.0.9" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -814,6 +841,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -826,7 +854,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -838,6 +866,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -854,16 +883,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -876,6 +905,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -890,6 +920,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -907,6 +938,7 @@ version = "1.5.3" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"}, {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, @@ -918,6 +950,7 @@ version = "4.0.0" description = "Library with helpers for the jsonlines file format" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"}, {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"}, @@ -932,6 +965,7 @@ version = "0.4.8" description = "A framework for evaluating language models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "lm_eval-0.4.8-py3-none-any.whl", hash = "sha256:2ba377e067affcfcd27b73d6c045f8ce9ff88accd56176d9a86af3c12b0e01f6"}, {file = "lm_eval-0.4.8.tar.gz", hash = "sha256:3a7ffff20347315bf2318796b90ec9f7dd819836567085b5f57fdcc8bc450b4d"}, @@ -995,6 +1029,7 @@ version = "6.0.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388"}, {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153"}, @@ -1150,6 +1185,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -1248,6 +1284,7 @@ version = "1.1.4" description = "mbstrdecoder is a Python library for multi-byte character string decoder" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "mbstrdecoder-1.1.4-py3-none-any.whl", hash = "sha256:03dae4ec50ec0d2ff4743e63fdbd5e0022815857494d35224b60775d3d934a8c"}, {file = "mbstrdecoder-1.1.4.tar.gz", hash = "sha256:8105ef9cf6b7d7d69fe7fd6b68a2d8f281ca9b365d7a9b670be376b2e6c81b21"}, @@ -1265,6 +1302,7 @@ version = "10.8.0" description = "More routines for operating on iterables, beyond itertools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "more_itertools-10.8.0-py3-none-any.whl", hash = "sha256:52d4362373dcf7c52546bc4af9a86ee7c4579df9a8dc268be0a2f949d376cc9b"}, {file = "more_itertools-10.8.0.tar.gz", hash = "sha256:f638ddf8a1a0d134181275fb5d58b086ead7c6a72429ad725c67503f13ba30bd"}, @@ -1276,6 +1314,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = 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version = "2.9.1" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1cc208435f6c379f9b8fdfd5ceb5be1e3b72a6bdf1cb46c0d2812aa73472db9e"}, {file = "torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:9fd35c68b3679378c11f5eb73220fdcb4e6f4592295277fbb657d31fd053237c"}, @@ -3111,6 +3474,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -3132,6 +3496,7 @@ version = "0.0.11" description = "Easy multiprocessing with tqdm and logging redirected to main process." optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "tqdm-multiprocess-0.0.11.tar.gz", hash = "sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7"}, {file = "tqdm_multiprocess-0.0.11-py3-none-any.whl", hash = "sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa"}, @@ -3146,13 +3511,14 @@ dev = ["twine"] [[package]] name = "transformers" -version = "4.57.5" +version = "4.57.6" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ - {file = "transformers-4.57.5-py3-none-any.whl", hash = "sha256:5a1e0deb989cd0b8f141b6d8c9b7c956fc029cd288d68844f57dc0acbaf2fe39"}, - {file = "transformers-4.57.5.tar.gz", hash = "sha256:d631faea6bd32fc51962e482744afeaa70170c70e5e991cf8e355d7275631524"}, + {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, + {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, ] [package.dependencies] @@ -3224,6 +3590,8 @@ version = "3.5.1" description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f63e34dcb32d7bd3a1d0195f60f30d2aee8b08a69a0424189b71017e23dfc3d2"}, {file = "triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fc53d849f879911ea13f4a877243afc513187bc7ee92d1f2c0f1ba3169e3c94"}, @@ -3252,6 +3620,7 @@ version = "1.3.4" description = "typepy is a Python library for variable type checker/validator/converter at a run time." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typepy-1.3.4-py3-none-any.whl", hash = "sha256:d5ed3e0c7f49521bff0603dd08cf8d453371cf68d65a29d3d0038552ccc46e2e"}, {file = "typepy-1.3.4.tar.gz", hash = "sha256:89c1f66de6c6133209c43a94d23431d320ba03ef5db18f241091ea594035d9de"}, @@ -3273,6 +3642,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -3284,6 +3654,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -3295,16 +3666,17 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "word2number" @@ -3312,6 +3684,7 @@ version = "1.1" description = "Convert number words eg. three hundred and forty two to numbers (342)." optional = false python-versions = "*" +groups = ["main"] files = [ {file = "word2number-1.1.zip", hash = "sha256:70e27a5d387f67b04c71fbb7621c05930b19bfd26efd6851e6e0f9969dcde7d0"}, ] @@ -3322,6 +3695,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -3471,6 +3845,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -3615,6 +3990,7 @@ version = "0.25.0" description = "Zstandard bindings for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zstandard-0.25.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e59fdc271772f6686e01e1b3b74537259800f57e24280be3f29c8a0deb1904dd"}, {file = "zstandard-0.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4d441506e9b372386a5271c64125f72d5df6d2a8e8a2a45a0ae09b03cb781ef7"}, @@ -3718,9 +4094,9 @@ files = [ ] [package.extras] -cffi = ["cffi (>=1.17,<2.0)", "cffi (>=2.0.0b)"] +cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b0) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "5ad8489bee16104885b576abb86fa16681d5bbcb6ecd1b21f1e9d260a2ac5eaa" +content-hash = "5fb1e432790e9430be1c93108b74ba67864ad3e0e8e511a28fee1627836c67e0" diff --git a/security_scanning/examples/trtllm-eval/pyproject.toml b/security_scanning/examples/trtllm-eval/pyproject.toml index abf68fb26ac5..25b1bda020f5 100644 --- a/security_scanning/examples/trtllm-eval/pyproject.toml +++ b/security_scanning/examples/trtllm-eval/pyproject.toml @@ -1,15 +1,16 @@ -[tool.poetry] +[project] name = "trtllm-eval-examples" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -lm-eval = {version = "0.4.8", extras = ["api"]} +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "lm-eval[api] (==0.4.8)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index e554e8c58a42..10d2678cc10e 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "73d1840c1291a1ae49a0e93f821db66ea106ba49", - "timestamp": "2026-01-15T02:39:20Z" + "commit_hash": "460b8a5b992428ae8b3a51ee76444eac2d465d46", + "timestamp": "2026-01-19T07:59:24Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 7d50f6de2eab..2c8283cecb52 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "accelerate" @@ -6,6 +6,7 @@ version = "1.12.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" +groups = ["main"] files = [ {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, @@ -38,6 +39,7 @@ version = "3.1.16" description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "aenum-3.1.16-py2-none-any.whl", hash = "sha256:7810cbb6b4054b7654e5a7bafbe16e9ee1d25ef8e397be699f63f2f3a5800433"}, {file = "aenum-3.1.16-py3-none-any.whl", hash = "sha256:9035092855a98e41b66e3d0998bd7b96280e85ceb3a04cc035636138a1943eaf"}, @@ -50,6 +52,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -61,6 +64,7 @@ version = "3.13.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7"}, {file = "aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821"}, @@ -195,7 +199,7 @@ propcache = ">=0.2.0" yarl = ">=1.17.0,<2.0" [package.extras] -speedups = ["Brotli (>=1.2)", "aiodns (>=3.3.0)", "backports.zstd", "brotlicffi (>=1.2)"] +speedups = ["Brotli (>=1.2) ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "backports.zstd ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "brotlicffi (>=1.2) ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -203,6 +207,7 @@ version = "1.4.0" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"}, {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"}, @@ -218,6 +223,7 @@ version = "0.0.4" description = "Document parameters, class attributes, return types, and variables inline, with Annotated." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, @@ -229,6 +235,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -240,6 +247,7 @@ version = "4.9.3" description = "ANTLR 4.9.3 runtime for Python 3.7" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"}, ] @@ -250,6 +258,7 @@ version = "4.12.1" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, @@ -261,7 +270,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0)", "trio (>=0.32.0)"] +trio = ["trio (>=0.31.0) ; 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sys_platform == \"linux\" or sys_platform == \"win32\""] +cufile = ["nvidia-cufile (==1.16.1.26.*) ; sys_platform == \"linux\""] +culibos = ["nvidia-cuda-culibos (==13.1.115.*) ; sys_platform == \"linux\""] +cupti = ["nvidia-cuda-cupti (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +curand = ["nvidia-curand (==10.4.1.81.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cusolver = ["nvidia-cusolver (==12.0.9.81.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cusparse = ["nvidia-cusparse (==12.7.3.1.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cuxxfilt = ["nvidia-cuda-cuxxfilt (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +npp = ["nvidia-npp (==13.0.3.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvcc = ["nvidia-cuda-nvcc (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvfatbin = ["nvidia-nvfatbin (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvjitlink = ["nvidia-nvjitlink (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvjpeg = ["nvidia-nvjpeg (==13.0.3.75.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvml = ["nvidia-nvml-dev (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvptxcompiler = ["nvidia-nvptxcompiler (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvrtc = ["nvidia-cuda-nvrtc (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvtx = ["nvidia-nvtx (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvvm = ["nvidia-nvvm (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +opencl = ["nvidia-cuda-opencl (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +profiler = ["nvidia-cuda-profiler-api (==13.1.115.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +sanitizer = ["nvidia-cuda-sanitizer-api (==13.1.118.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +tileiras = ["nvidia-cuda-tileiras (==13.1.80.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] [[package]] name = "cycler" @@ -925,6 +1048,7 @@ version = "0.12.1" description = "Composable style cycles" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, @@ -940,6 +1064,7 @@ version = "3.1.0" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61"}, {file = "datasets-3.1.0.tar.gz", hash = "sha256:c92cac049e0f9f85b0dd63739c68e564c657b1624bc2b66b1e13489062832e27"}, @@ -962,17 +1087,17 @@ tqdm = ">=4.66.3" xxhash = "*" [package.extras] -audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"] +audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\""] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] -tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tensorflow (>=2.16.0) ; python_version >= \"3.10\"", "tensorflow (>=2.6.0) ; python_version < \"3.10\"", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] +tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "decord (==0.6.0)", "elasticsearch (<8.0.0)", "jax (>=0.3.14) ; sys_platform != \"win32\"", "jaxlib (>=0.3.14) ; sys_platform != \"win32\"", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0) ; python_version >= \"3.9\"", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"] torch = ["torch"] vision = ["Pillow (>=9.4.0)"] @@ -982,6 +1107,7 @@ version = "0.36.0" description = "State-of-the-art diffusion in PyTorch and JAX." optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "diffusers-0.36.0-py3-none-any.whl", hash = "sha256:525d42abc74bfc3b2db594999961295c054b48ef40a11724dacf50e6abd1af98"}, {file = "diffusers-0.36.0.tar.gz", hash = "sha256:a9cde8721b415bde6a678f2d02abb85396487e1b0e0d2b4abb462d14a9825ab0"}, @@ -1018,6 +1144,7 @@ version = "0.3.8" description = "serialize all of Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"}, {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"}, @@ -1033,6 +1160,7 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -1044,6 +1172,7 @@ version = "0.8.1" description = "A new flavour of deep learning operations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, @@ -1055,6 +1184,7 @@ version = "0.12.0" description = "Python client for the etcd3 API" optional = false python-versions = "*" +groups = ["main"] files = [] develop = false @@ -1075,6 +1205,7 @@ version = "0.4.6" description = "HuggingFace community-driven open-source library of evaluation" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "evaluate-0.4.6-py3-none-any.whl", hash = "sha256:bca85bc294f338377b7ac2f861e21c308b11b2a285f510d7d5394d5df437db29"}, {file = "evaluate-0.4.6.tar.gz", hash = "sha256:e07036ca12b3c24331f83ab787f21cc2dbf3631813a1631e63e40897c69a3f21"}, @@ -1083,7 +1214,7 @@ files = [ [package.dependencies] datasets = ">=2.0.0" dill = "*" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.5.0", extras = ["http"]} huggingface-hub = ">=0.7.0" multiprocess = "*" numpy = ">=1.17" @@ -1110,6 +1241,8 @@ version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"}, {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"}, @@ -1127,6 +1260,7 @@ version = "0.121.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fastapi-0.121.3-py3-none-any.whl", hash = "sha256:0c78fc87587fcd910ca1bbf5bc8ba37b80e119b388a7206b39f0ecc95ebf53e9"}, {file = "fastapi-0.121.3.tar.gz", hash = "sha256:0055bc24fe53e56a40e9e0ad1ae2baa81622c406e548e501e717634e2dfbc40b"}, @@ -1149,6 +1283,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -1160,6 +1295,7 @@ version = "0.3.1.post1" description = "FlashInfer: Kernel Library for LLM Serving" optional = false python-versions = "<4.0,>=3.9" +groups = ["main"] files = [ {file = "flashinfer_python-0.3.1.post1.tar.gz", hash = "sha256:d32218c7e33bcbf907719d3e51ddbea84d94a87fd0425378d70bcd28728f342e"}, ] @@ -1183,6 +1319,7 @@ version = "4.61.1" description = "Tools to manipulate font files" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c7db70d57e5e1089a274cbb2b1fd635c9a24de809a231b154965d415d6c6d24"}, {file = "fonttools-4.61.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5fe9fd43882620017add5eabb781ebfbc6998ee49b35bd7f8f79af1f9f99a958"}, @@ -1237,17 +1374,17 @@ files = [ ] [package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.45.0)", "unicodedata2 (>=17.0.0)", "xattr", "zopfli (>=0.1.4)"] +all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.45.0)", "unicodedata2 (>=17.0.0) ; python_version <= \"3.14\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres", "pycairo", "scipy"] +interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""] lxml = ["lxml (>=4.0)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] repacker = ["uharfbuzz (>=0.45.0)"] symfont = ["sympy"] -type1 = ["xattr"] -unicode = ["unicodedata2 (>=17.0.0)"] -woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] +type1 = ["xattr ; sys_platform == \"darwin\""] +unicode = ["unicodedata2 (>=17.0.0) ; python_version <= \"3.14\""] +woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"] [[package]] name = "frozenlist" @@ -1255,6 +1392,7 @@ version = "1.8.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b37f6d31b3dcea7deb5e9696e529a6aa4a898adc33db82da12e4c60a7c4d2011"}, {file = "frozenlist-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ef2b7b394f208233e471abc541cc6991f907ffd47dc72584acee3147899d6565"}, @@ -1394,6 +1532,7 @@ version = "2024.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, @@ -1436,6 +1575,7 @@ version = "1.76.0" description = "HTTP/2-based RPC framework" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "grpcio-1.76.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:65a20de41e85648e00305c1bb09a3598f840422e522277641145a32d42dcefcc"}, {file = "grpcio-1.76.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:40ad3afe81676fd9ec6d9d406eda00933f218038433980aa19d401490e46ecde"}, @@ -1512,6 +1652,7 @@ version = "0.16.0" description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, @@ -1523,6 +1664,7 @@ version = "3.12.1" description = "Read and write HDF5 files from Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "h5py-3.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f0f1a382cbf494679c07b4371f90c70391dedb027d517ac94fa2c05299dacda"}, {file = 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"sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"}, {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -1616,6 +1761,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -1628,7 +1774,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -1640,6 +1786,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -1656,16 +1803,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer 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optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -1692,6 +1840,7 @@ version = "8.7.1" description = "Read metadata from Python packages" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, @@ -1701,13 +1850,13 @@ files = [ zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=3.4)"] perf = ["ipython"] test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19)", "pytest-mypy (>=1.0.1)"] +type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] [[package]] name = "jinja2" @@ -1715,6 +1864,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1732,6 +1882,7 @@ version = "0.12.0" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65"}, {file = "jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:364f1a7294c91281260364222f535bc427f56d4de1d8ffd718162d21fbbd602e"}, @@ -1843,6 +1994,7 @@ version = "4.26.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"}, {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"}, @@ -1850,7 +2002,7 @@ files = [ [package.dependencies] attrs = ">=22.2.0" -jsonschema-specifications = ">=2023.03.6" +jsonschema-specifications = ">=2023.3.6" referencing = ">=0.28.4" rpds-py = ">=0.25.0" @@ -1864,6 +2016,7 @@ version = "2025.9.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe"}, {file = "jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d"}, @@ -1878,6 +2031,7 @@ version = "1.4.9" description = "A fast implementation of the Cassowary constraint solver" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b4b4d74bda2b8ebf4da5bd42af11d02d04428b2c32846e4c2c93219df8a7987b"}, {file = "kiwisolver-1.4.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fb3b8132019ea572f4611d770991000d7f58127560c4889729248eb5852a102f"}, @@ -1988,6 +2142,7 @@ version = "1.3.1" description = "a modern parsing library" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lark-1.3.1-py3-none-any.whl", hash = "sha256:c629b661023a014c37da873b4ff58a817398d12635d3bbb2c5a03be7fe5d1e12"}, {file = "lark-1.3.1.tar.gz", hash = "sha256:b426a7a6d6d53189d318f2b6236ab5d6429eaf09259f1ca33eb716eed10d2905"}, @@ -2005,6 +2160,7 @@ version = "0.7.29" description = "Bindings for the Low-level Guidance (llguidance) Rust library for use within Guidance" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "llguidance-0.7.29-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:94a5ccbd86a70ae5e0a967c5d0e1ee6b0edf2d42f1023fdef0eca87f07ea9da4"}, {file = "llguidance-0.7.29-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:47cedfba78f0e8e0f377439c4f2ff3734e0e09c87be3934fe93bb8996f21a6b9"}, @@ -2022,6 +2178,7 @@ version = "6.0.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388"}, {file = "lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153"}, @@ -2177,6 +2334,7 @@ version = "4.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "markdown_it_py-4.0.0-py3-none-any.whl", hash = "sha256:87327c59b172c5011896038353a81343b6754500a08cd7a4973bb48c6d578147"}, {file = "markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3"}, @@ -2200,6 +2358,7 @@ version = "3.0.3" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"}, {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"}, @@ -2298,6 +2457,7 @@ version = "3.10.8" description = "Python plotting package" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"}, {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"}, @@ -2376,6 +2536,7 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -2383,19 +2544,20 @@ files = [ [[package]] name = "meson" -version = "1.10.0" +version = "1.10.1" description = "A high performance build system" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ - {file = "meson-1.10.0-py3-none-any.whl", hash = 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"mistral_common-1.8.6.tar.gz", hash = "sha256:c61702720093f7a06508e81923917b04e35062b9ff396b8512b9c4d1139767ee"}, @@ -2434,6 +2597,7 @@ version = "0.5.4" description = "ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "ml_dtypes-0.5.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b95e97e470fe60ed493fd9ae3911d8da4ebac16bd21f87ffa2b7c588bf22ea2c"}, {file = "ml_dtypes-0.5.4-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b4b801ebe0b477be666696bda493a9be8356f1f0057a57f1e35cd26928823e5a"}, @@ -2478,8 +2642,8 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\""}, {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] @@ -2492,6 +2656,8 @@ version = "0.30.3" description = "A framework for machine learning on Apple silicon." optional = false python-versions = ">=3.10" +groups = ["main"] +markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\"" files = [ {file = "mlx-0.30.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:685051761e428336f8f19ae76a761ce99d29ff67c52738f15ce6409e2ff34e6b"}, {file = "mlx-0.30.3-cp310-cp310-macosx_15_0_arm64.whl", hash = "sha256:e405e6575e3b0b00dd6bd02bdb415b638cd5c2e5faedb696df2b2c8fbe871240"}, @@ -2524,10 +2690,10 @@ files = [ mlx-metal = {version = "0.30.3", markers = "platform_system == \"Darwin\""} [package.extras] -cpu = ["mlx-cpu (==0.30.3)"] -cuda = ["mlx-cuda-12 (==0.30.3)"] -cuda12 = ["mlx-cuda-12 (==0.30.3)"] -cuda13 = ["mlx-cuda-13 (==0.30.3)"] +cpu = ["mlx-cpu (==0.30.3) ; platform_system == \"Linux\""] +cuda = ["mlx-cuda-12 (==0.30.3) ; platform_system == \"Linux\""] +cuda12 = ["mlx-cuda-12 (==0.30.3) ; platform_system == \"Linux\""] +cuda13 = ["mlx-cuda-13 (==0.30.3) ; platform_system == \"Linux\""] dev = ["numpy (>=2)", "pre-commit", "torch (>=2.9)", "typing_extensions"] [[package]] @@ -2536,6 +2702,8 @@ version = "0.29.1" description = "LLMs with MLX and the Hugging Face Hub" optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\"" files = [ {file = "mlx_lm-0.29.1-py3-none-any.whl", hash = "sha256:440941b3054c2a2216e97615de584cc90fa1ea874782e20699b9895721fad8dc"}, {file = "mlx_lm-0.29.1.tar.gz", hash = "sha256:b99180d8f33d33a077b814e550bfb2d8a59ae003d668fd1f4b3fff62a381d34b"}, @@ -2563,6 +2731,8 @@ version = "0.30.3" description = "A framework for machine learning on Apple silicon." optional = false python-versions = ">=3.10" +groups = ["main"] +markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\"" files = [ {file = "mlx_metal-0.30.3-py3-none-macosx_14_0_arm64.whl", hash = "sha256:6276312b02353714c7c6515169569fe1c4bebe3229c8ecf1fdb375a13e78c966"}, {file = "mlx_metal-0.30.3-py3-none-macosx_15_0_arm64.whl", hash = "sha256:c096c0a3428f3f96a06220f97a36f9528b18bc05173f821eb05bc8458e723fa8"}, @@ -2575,6 +2745,7 @@ version = "4.1.1" description = "Python bindings for MPI" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "mpi4py-4.1.1-cp310-abi3-macosx_10_9_x86_64.whl", hash = "sha256:1586f5d1557abed9cba7e984d18f32e787b353be0986e599974db177ae36329a"}, {file = "mpi4py-4.1.1-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:ba85e4778d63c750226de95115c92b709f38d7e661be660a275da4f0992ee197"}, @@ -2640,6 +2811,7 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = 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multiprocessing and multithreading in Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"}, {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"}, @@ -2839,6 +3013,7 @@ version = "2.15.0" description = "Extremely lightweight compatibility layer between dataframe libraries" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "narwhals-2.15.0-py3-none-any.whl", hash = "sha256:cbfe21ca19d260d9fd67f995ec75c44592d1f106933b03ddd375df7ac841f9d6"}, {file = "narwhals-2.15.0.tar.gz", hash = "sha256:a9585975b99d95084268445a1fdd881311fa26ef1caa18020d959d5b2ff9a965"}, @@ -2863,6 +3038,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -2882,6 +3058,7 @@ version = "1.13.0" description = "Ninja is a small build system with a focus on speed" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "ninja-1.13.0-py3-none-macosx_10_9_universal2.whl", hash = "sha256:fa2a8bfc62e31b08f83127d1613d10821775a0eb334197154c4d6067b7068ff1"}, {file = "ninja-1.13.0-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3d00c692fb717fd511abeb44b8c5d00340c36938c12d6538ba989fe764e79630"}, @@ -2910,6 +3087,7 @@ version = "2.13.1" description = "Fast numerical expression evaluator for NumPy" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = 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optional = false python-versions = ">=3" +groups = ["main"] files = [ {file = "nvidia_cuda_nvrtc-13.1.115-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:d7cf1284ab82f379884decc8813d9d4a729bc96b1ec020a9cf80303f698d73c4"}, {file = "nvidia_cuda_nvrtc-13.1.115-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:dfbc5e3bb19db41e4a05280b7b0cb9cbb624699f57dab3798455f43345541f99"}, @@ -3060,6 +3244,8 @@ version = "12.8.93" description = "NVRTC native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"}, {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"}, @@ -3072,6 +3258,8 @@ version = "13.1.80" description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "sys_platform == \"linux\" or sys_platform == \"win32\"" files = [ {file = "nvidia_cuda_runtime-13.1.80-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5f1aa8fd779cae1a78aa8fdbaa5e4f245300baff120099d9b5ee84e3f4506a29"}, {file = "nvidia_cuda_runtime-13.1.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dac25b52e69050e5a7a84957e6df470a85b185f8f648a99a1ab1dfce027576cf"}, @@ -3084,6 +3272,8 @@ version = "12.8.90" description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d"}, {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90"}, @@ -3096,6 +3286,8 @@ version = "9.10.2.21" description = "cuDNN runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"}, {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"}, @@ -3111,6 +3303,7 @@ version = "1.17.0" description = "CUDNN FrontEnd python library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "nvidia_cudnn_frontend-1.17.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4835ee3fc350782c89cdd290088ade69464faaa5dd66ccb0b215ad481ab3b41b"}, {file = "nvidia_cudnn_frontend-1.17.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1da7e972dbba939ad21111f1208815b8c8024cbf72aa6c1eb223b14b2049d4b6"}, @@ -3138,6 +3331,8 @@ version = "11.3.3.83" description = "CUFFT native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"}, {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"}, @@ -3153,6 +3348,8 @@ version = "1.13.1.3" description = "cuFile GPUDirect libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"}, {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"}, @@ -3164,6 +3361,8 @@ version = "10.3.9.90" description = "CURAND native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"}, {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"}, @@ -3176,6 +3375,8 @@ version = "11.7.3.90" description = "CUDA solver native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0"}, {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450"}, @@ -3193,6 +3394,8 @@ version = "12.5.8.93" description = "CUSPARSE native runtime libraries" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = 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"nvidia_cutlass_dsl-4.3.4-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:118508bc84f2a55ec7af3affd379bb713edf837d593218329909db67b518e700"}, {file = "nvidia_cutlass_dsl-4.3.4-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:3fdf0603ab7ec1bf6a499fbf72cff65e73b597d6e1359286808317c69aeb7c3d"}, @@ -3242,6 +3448,7 @@ version = "13.590.44" description = "Python Bindings for the NVIDIA Management Library" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "nvidia_ml_py-13.590.44-py3-none-any.whl", hash = "sha256:18feb54eca7d0e3cdc8d1a040a771eda72d9ec3148e5443087970dbfd7377ecc"}, {file = "nvidia_ml_py-13.590.44.tar.gz", hash = "sha256:b358c7614b0fdeea4b95f046f1c90123bfe25d148ab93bb1c00248b834703373"}, @@ -3253,6 +3460,7 @@ version = "0.37.0" description = "Nvidia TensorRT Model Optimizer: a unified model optimization and deployment toolkit." optional = false python-versions = "<3.13,>=3.10" +groups = ["main"] files = [ {file = 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"onnxruntime-gpu (>=1.22.0,<1.23.0) ; platform_machine != \"aarch64\" and platform_system != \"Darwin\" and platform_system != \"Windows\"", "onnxscript", "onnxsim ; python_version < \"3.12\" and platform_machine != \"aarch64\"", "polygraphy (>=0.49.22)"] [[package]] name = "nvidia-nccl-cu12" @@ -3288,6 +3496,8 @@ version = "2.27.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"}, {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"}, @@ -3299,6 +3509,7 @@ version = "2.28.9" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" +groups = ["main"] files = [ {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:01c873ba1626b54caa12272ed228dc5b2781545e0ae8ba3f432a8ef1c6d78643"}, {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:e4553a30f34195f3fa1da02a6da3d6337d28f2003943aa0a3d247bbc25fefc42"}, @@ -3310,6 +3521,8 @@ version = "12.8.93" description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" +groups = ["main"] +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"}, {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"}, @@ -3322,6 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framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality." optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "optimum-2.1.0-py3-none-any.whl", hash = "sha256:bc3af32e1236a9b2c2ca1d27ed9d3ab1b6591e24c6bcd47f9671a8198a30ea88"}, {file = "optimum-2.1.0.tar.gz", hash = "sha256:0a2a13f91500e41d34863ffdb08fcb886b3ce68a84a386e59653e3064a45dd4b"}, @@ -3561,6 +3785,7 @@ version = "4.1.0" description = "An OrderedSet is a custom MutableSet that remembers its order, so that every" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "ordered-set-4.1.0.tar.gz", hash = "sha256:694a8e44c87657c59292ede72891eb91d34131f6531463aab3009191c77364a8"}, {file = "ordered_set-4.1.0-py3-none-any.whl", hash = "sha256:046e1132c71fcf3330438a539928932caf51ddbc582496833e23de611de14562"}, @@ -3575,6 +3800,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false 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= ">=4.0", markers = "python_version < \"3.11\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "wheel" @@ -5994,6 +6369,7 @@ version = "0.45.1" description = "A built-package format for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, @@ -6008,6 +6384,7 @@ version = "0.1.25" description = "Efficient, Flexible and Portable Structured Generation" optional = false python-versions = "<4,>=3.8" +groups = ["main"] files = [ {file = "xgrammar-0.1.25-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:d12d1078ee2b5c1531610489b433b77694a7786210ceb2c0c1c1eb058e9053c7"}, {file = "xgrammar-0.1.25-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c2e940541b7cddf3ef55a70f20d4c872af7f0d900bc0ed36f434bf7212e2e729"}, @@ -6046,7 +6423,7 @@ triton = {version = "*", markers = "platform_system == \"Linux\" and platform_ma typing-extensions = ">=4.9.0" [package.extras] -test = ["huggingface-hub[cli]", "protobuf", "pytest", "sentencepiece", "tiktoken", "transformers (<4.50.0)"] +test = ["huggingface-hub[cli]", "protobuf", "pytest", "sentencepiece", "tiktoken", "transformers (<4.50.0) ; platform_system == \"Darwin\""] [[package]] name = "xxhash" @@ -6054,6 +6431,7 @@ version = "3.6.0" description = "Python binding for xxHash" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "xxhash-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87ff03d7e35c61435976554477a7f4cd1704c3596a89a8300d5ce7fc83874a71"}, {file = "xxhash-3.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f572dfd3d0e2eb1a57511831cf6341242f5a9f8298a45862d085f5b93394a27d"}, @@ -6203,6 +6581,7 @@ version = "1.22.0" description = "Yet another URL library" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c7bd6683587567e5a49ee6e336e0612bec8329be1b7d4c8af5687dcdeb67ee1e"}, {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5cdac20da754f3a723cceea5b3448e1a2074866406adeb4ef35b469d089adb8f"}, @@ -6347,13 +6726,14 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -6361,6 +6741,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "3a938a17ce5dbed274ea5d0a70e9a5c54e95c2d86c983f3536aba7f5519146fe" +content-hash = "44f63fd26dd4ff0196e1a0d12da8af300c5b80939e282d5cd59d968fda88fbaf" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 3279605a07bf..19c77b33babe 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -1,87 +1,88 @@ -[tool.poetry] +[project] name = "tensorrt-llm" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -license = "Apache-2.0" -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -accelerate = ">=1.7.0" -build = "^1.4.0" -colored = "^2.3.1" -cuda-python = ">=13" -diffusers = ">=0.27.0" -lark = "^1.3.1" -mpi4py = "^4.1.1" -numpy = "<2" -onnx = ">=1.18.0,<1.20.0" -onnx-graphsurgeon = ">=0.5.2" -openai = "^2.15.0" -polygraphy = "^0.49.26" -psutil = "^7.2.1" -nvidia-ml-py = ">=13" -pulp = "^3.3.0" -pandas = "^2.3.3" -h5py = "3.12.1" -strenum = "^0.4.15" -sentencepiece = ">=0.1.99" -tensorrt = ">=10.14.1,<10.15.0" -torch = ">=2.9.1,<=2.10.0a0" -torchvision = "^0.24.1" -nvidia-modelopt = {version = ">=0.37.0,<0.38.0", extras = ["torch"]} -nvidia-nccl-cu13 = ">=2.27.7,<=2.28.9" -nvidia-cuda-nvrtc = "^13.1.115" -transformers = "4.57.1" -prometheus-client = "^0.24.1" -prometheus-fastapi-instrumentator = "^7.1.0" -pydantic = ">=2.9.1" -pydantic-settings = {extras = ["yaml"], version = "^2.12.0"} -omegaconf = "^2.3.0" -pillow = "^12.1.0" -wheel = "<=0.45.1" -optimum = "^2.1.0" -datasets = "3.1.0" -evaluate = "^0.4.6" -mpmath = ">=1.3.0" -click = "^8.3.1" -click-option-group = "^0.5.9" -aenum = "^3.1.16" -pyzmq = "^27.1.0" -fastapi = ">=0.120.1,<=0.121.3" -starlette = ">=0.49.1" -uvicorn = "^0.40.0" -setuptools = "<80" -ordered-set = "^4.1.0" -peft = "^0.18.1" -patchelf = "^0.17.2.4" -einops = "^0.8.1" -flashinfer-python = ">=0.3.0,<0.4.0" -xgrammar = "0.1.25" -llguidance = "0.7.29" -jsonschema = "^4.26.0" -backoff = "^2.2.1" -nvtx = "^0.2.14" -matplotlib = "^3.10.8" -meson = "^1.10.0" -ninja = "^1.13.0" -etcd3 = {git = "https://github.com/kragniz/python-etcd3.git", rev = "e58a899579ba416449c4e225b61f039457c8072a"} -blake3 = 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a/security_scanning/tests/integration/defs/perf/poetry.lock b/security_scanning/tests/integration/defs/perf/poetry.lock index a786ab40cf59..f1753825ba20 100644 --- a/security_scanning/tests/integration/defs/perf/poetry.lock +++ b/security_scanning/tests/integration/defs/perf/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. 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"sha256:cad302dc10fac357d3467a74a9561c90609768a6f73a1923b0fd851b6486f8b0"}, @@ -620,6 +723,7 @@ version = "3.3.1" description = "pyparsing - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pyparsing-3.3.1-py3-none-any.whl", hash = "sha256:023b5e7e5520ad96642e2c6db4cb683d3970bd640cdf7115049a6e9c3682df82"}, {file = "pyparsing-3.3.1.tar.gz", hash = "sha256:47fad0f17ac1e2cad3de3b458570fbc9b03560aa029ed5e16ee5554da9a2251c"}, @@ -634,6 +738,7 @@ version = "2.9.0.post0" description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, @@ -648,6 +753,7 @@ version = "2025.2" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, @@ -659,6 +765,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -670,12 +777,13 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "89e80cae69b517c09e5f788e36eec00c4589fe57d9ac74d1434fdd5e9a0dd481" +content-hash = "2c7cd873208255636621629479480092bbf49cb5bcea0513bd22030f36230a0f" diff --git a/security_scanning/tests/integration/defs/perf/pyproject.toml b/security_scanning/tests/integration/defs/perf/pyproject.toml index 5f262cc27d4b..cf011995f2e3 100644 --- a/security_scanning/tests/integration/defs/perf/pyproject.toml +++ b/security_scanning/tests/integration/defs/perf/pyproject.toml @@ -1,17 +1,18 @@ -[tool.poetry] +[project] name = "unknown-package" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -pandas = "^2.3.3" -numpy = "<2" -matplotlib = "^3.10.8" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "pandas (>=2.3.3,<3.0.0)", + "numpy (<2)", + "matplotlib (>=3.10.8,<4.0.0)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 9d6620be130c..b914653e8627 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. [[package]] name = "certifi" @@ -6,6 +6,7 @@ version = "2026.1.4" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c"}, {file = "certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120"}, @@ -17,6 +18,7 @@ version = "3.4.4" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "charset_normalizer-3.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e824f1492727fa856dd6eda4f7cee25f8518a12f3c4a56a74e8095695089cf6d"}, {file = "charset_normalizer-3.4.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:4bd5d4137d500351a30687c2d3971758aac9a19208fc110ccb9d7188fbe709e8"}, @@ -139,6 +141,8 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main"] +markers = "platform_system == \"Windows\"" files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, @@ -150,6 +154,7 @@ version = "3.20.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, @@ -161,6 +166,7 @@ version = "0.7.1" description = "A library for automatically generating command line interfaces." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "fire-0.7.1-py3-none-any.whl", hash = "sha256:e43fd8a5033a9001e7e2973bab96070694b9f12f2e0ecf96d4683971b5ab1882"}, {file = "fire-0.7.1.tar.gz", hash = "sha256:3b208f05c736de98fb343310d090dcc4d8c78b2a89ea4f32b837c586270a9cbf"}, @@ -178,6 +184,7 @@ version = "2026.1.0" description = "File-system specification" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, @@ -208,7 +215,7 @@ smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] tqdm = ["tqdm"] [[package]] @@ -217,6 +224,8 @@ version = "1.2.0" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" +groups = ["main"] +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -251,6 +260,7 @@ version = "0.36.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, @@ -267,16 +277,16 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] hf-transfer = ["hf-transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "mypy (>=1.14.1,<1.15.0)", "ruff (>=0.9.0)", "ty"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] @@ -289,6 +299,7 @@ version = "3.11" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"}, {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"}, @@ -303,6 +314,7 @@ version = "2.2.6" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"}, {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"}, @@ -367,6 +379,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -378,6 +391,7 @@ version = "2.3.3" description = "Powerful data structures for data analysis, time series, and statistics" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"}, {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"}, @@ -477,6 +491,7 @@ version = "2.9.0.post0" description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, @@ -491,6 +506,7 @@ version = "2025.2" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, @@ -502,6 +518,7 @@ version = "6.0.3" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "PyYAML-6.0.3-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:c2514fceb77bc5e7a2f7adfaa1feb2fb311607c9cb518dbc378688ec73d8292f"}, {file = "PyYAML-6.0.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9c57bb8c96f6d1808c030b1687b9b5fb476abaa47f0db9c0101f5e9f394e97f4"}, @@ -584,6 +601,7 @@ version = "2026.1.15" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4e3dd93c8f9abe8aa4b6c652016da9a3afa190df5ad822907efe6b206c09896e"}, {file = "regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f"}, @@ -724,6 +742,7 @@ version = "2.32.5" description = "Python HTTP for Humans." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, @@ -745,6 +764,7 @@ version = "0.7.0" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "safetensors-0.7.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c82f4d474cf725255d9e6acf17252991c3c8aac038d6ef363a4bf8be2f6db517"}, {file = "safetensors-0.7.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:94fd4858284736bb67a897a41608b5b0c2496c9bdb3bf2af1fa3409127f20d57"}, @@ -791,6 +811,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -802,6 +823,7 @@ version = "0.9.0" description = "Pretty-print tabular data" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, @@ -816,6 +838,7 @@ version = "3.3.0" description = "ANSI color formatting for output in terminal" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5"}, {file = "termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5"}, @@ -830,6 +853,7 @@ version = "0.22.2" description = "" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tokenizers-0.22.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:544dd704ae7238755d790de45ba8da072e9af3eea688f698b137915ae959281c"}, {file = "tokenizers-0.22.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:1e418a55456beedca4621dbab65a318981467a2b188e982a23e117f115ce5001"}, @@ -871,6 +895,7 @@ version = "0.15.0" description = "Package for applying ao techniques to GPU models" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "torchao-0.15.0-cp310-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1cbe813201314ba6329a650a76944502f3e8ec4b1b44523f3f48676810d8d1f6"}, {file = "torchao-0.15.0-py3-none-any.whl", hash = "sha256:3f3812676048ef8a2a0e9d492d12d8971ba7a7ebb16f54aa56f690414e130d2c"}, @@ -885,6 +910,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -906,6 +932,7 @@ version = "4.57.1" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" +groups = ["main"] files = [ {file = "transformers-4.57.1-py3-none-any.whl", hash = "sha256:b10d05da8fa67dc41644dbbf9bc45a44cb86ae33da6f9295f5fbf5b7890bd267"}, {file = "transformers-4.57.1.tar.gz", hash = "sha256:f06c837959196c75039809636cd964b959f6604b75b8eeec6fdfc0440b89cc55"}, @@ -980,6 +1007,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -991,6 +1019,7 @@ version = "2025.3" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, @@ -1002,18 +1031,19 @@ version = "2.6.3" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"}, {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"}, ] [package.extras] -brotli = ["brotli (>=1.2.0)", "brotlicffi (>=1.2.0.0)"] +brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] -zstd = ["backports-zstd (>=1.0.0)"] +zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "11259cec29634d239bae24095d70d265571dc33638c2fba166ae583601e1dd2b" +content-hash = "702a7619285bc53a75a9c79940315253345d7534560cbaccffb311c076396ca0" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index 65b22102d8a5..970622794afe 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -1,20 +1,21 @@ -[tool.poetry] +[project] name = "triton-backend" version = "0.1.0" description = "" -authors = ["TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"] -readme = "README.md" - -[tool.poetry.dependencies] -python = ">=3.10,<3.13" -regex = "^2026.1.15" -fire = "^0.7.1" -transformers = "4.57.1" -pandas = "^2.3.3" -tabulate = "^0.9.0" -torchao = ">=0.14.1" +authors = [ + {name = "TensorRT LLM [90828364+tensorrt-cicd@users.noreply.github.com]"} +] +requires-python = ">=3.10,<3.13" +dependencies = [ + "regex (>=2026.1.15,<2027.0.0)", + "fire (>=0.7.1,<0.8.0)", + "transformers (==4.57.1)", + "pandas (>=2.3.3,<3.0.0)", + "tabulate (>=0.9.0,<0.10.0)", + "torchao (>=0.14.1)" +] [build-system] -requires = ["poetry-core"] +requires = ["poetry-core>=2.0.0,<3.0.0"] build-backend = "poetry.core.masonry.api" From c51c75cb3826695a0918fffd0736af20f77e1bda Mon Sep 17 00:00:00 2001 From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Date: Mon, 19 Jan 2026 16:36:07 +0800 Subject: [PATCH 019/241] [None][test] Update test case for release (#10763) Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> --- tests/integration/defs/accuracy/accuracy_core.py | 2 +- tests/integration/defs/accuracy/test_llm_api_pytorch.py | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/tests/integration/defs/accuracy/accuracy_core.py b/tests/integration/defs/accuracy/accuracy_core.py index e30c6e2c2cb4..d7b885ad742f 100644 --- a/tests/integration/defs/accuracy/accuracy_core.py +++ b/tests/integration/defs/accuracy/accuracy_core.py @@ -452,7 +452,7 @@ class LongBenchV2(AccuracyTask): EVALUATOR_KWARGS = dict( dataset_path=DATASET_DIR, length="medium", - max_len=120000, + max_input_length=120000, apply_chat_template=True, random_seed=0, ) diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py index fc4ba2952090..db6ef3c4e8e4 100644 --- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py +++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py @@ -1118,6 +1118,7 @@ def test_fp8_prequantized(self): task = MMLU(self.MODEL_NAME) task.evaluate(llm) + @skip_pre_hopper def test_fp8_vswa_reuse(self): # NOTE: Test with VSWA kv cache config. kv_cache_config = KvCacheConfig( @@ -1132,6 +1133,7 @@ def test_fp8_vswa_reuse(self): task = MMLU(self.MODEL_NAME) task.evaluate(llm) + @skip_pre_hopper @pytest.mark.parametrize("backend", ["xgrammar"]) def test_fp8_guided_decoding_vswa_reuse(self, backend: str, mocker): mocker.patch.dict(os.environ, {"TRTLLM_XGUIDANCE_LENIENT": "1"}) @@ -5276,6 +5278,7 @@ class TestNemotronV3Nano(LlmapiAccuracyTestHarness): EXTRA_EVALUATOR_KWARGS = dict(chat_template_kwargs=dict( enable_thinking=False)) + @pytest.mark.skip_less_device_memory(80000) def test_auto_dtype(self): with LLM( f"{llm_models_root()}/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16", From b979a02868d8106920d0bae37e0029d54ed049ac Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Mon, 19 Jan 2026 10:30:06 -0500 Subject: [PATCH 020/241] [https://nvbugs/5748664][fix] Increasing disagg acc test timeout (#10764) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- tests/integration/defs/accuracy/test_disaggregated_serving.py | 4 ++-- tests/integration/test_lists/waives.txt | 3 --- 2 files changed, 2 insertions(+), 5 deletions(-) diff --git a/tests/integration/defs/accuracy/test_disaggregated_serving.py b/tests/integration/defs/accuracy/test_disaggregated_serving.py index 4b9b2a71f9f2..e2d19316e216 100644 --- a/tests/integration/defs/accuracy/test_disaggregated_serving.py +++ b/tests/integration/defs/accuracy/test_disaggregated_serving.py @@ -48,8 +48,8 @@ def result(self): DuckLLM = namedtuple('DuckLLM', ['args', 'tokenizer', 'generate_async']) -DEFAULT_TEST_TIMEOUT = 1200 -DEFAULT_SERVER_WAITING_TIMEOUT = 1200 +DEFAULT_TEST_TIMEOUT = 2400 +DEFAULT_SERVER_WAITING_TIMEOUT = 2400 @functools.lru_cache(maxsize=1) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f6271af21ce0..429f39e466f7 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -335,9 +335,7 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_guided_decoding_ accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp2pp2-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5784526) unittest/_torch/modules/test_fused_moe.py::test_fused_moe_multi_gpu[1-CUTLASS] SKIP (https://nvbugs/5784543) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5707359) -accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[GSM8K-gen_tp=1-ctx_pp=2] SKIP (https://nvbugs/5673559) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5701445) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] SKIP (https://nvbugs/5748600) unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) disaggregated/test_auto_scaling.py::test_worker_restart[etcd-round_robin] SKIP (https://nvbugs/5776445) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model] SKIP (https://nvbugs/5756028) @@ -375,7 +373,6 @@ accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (h accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[one_model] SKIP (https://nvbugs/5596343) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[two_model] SKIP (https://nvbugs/5596343) accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[True] SKIP (https://nvbugs/5799901) -accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5748664) accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm_eagle] SKIP (https://nvbugs/5804683) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-no_overlap_scheduler] SKIP (https://nvbugs/5809169) accuracy/test_llm_api_pytorch_multimodal.py::TestGemma3_27BInstruct::test_fp8_prequantized SKIP (https://nvbugs/5811087) From 6c0b080d402f26829afd116487ffa696f785f651 Mon Sep 17 00:00:00 2001 From: mpikulski <206748156+ixlmar@users.noreply.github.com> Date: Tue, 20 Jan 2026 05:27:01 +0100 Subject: [PATCH 021/241] [https://nvbugs/5791242][fix] workaround for flashinfer.sampling.sampling_from_logits (#10713) Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com> --- .../pyexecutor/sampling_utils_flashinfer.py | 31 ++++++++++++------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/sampling_utils_flashinfer.py b/tensorrt_llm/_torch/pyexecutor/sampling_utils_flashinfer.py index 786c953b0fdf..0e1ec5f566a0 100644 --- a/tensorrt_llm/_torch/pyexecutor/sampling_utils_flashinfer.py +++ b/tensorrt_llm/_torch/pyexecutor/sampling_utils_flashinfer.py @@ -612,20 +612,29 @@ def sample( generator: Optional[torch.Generator] = None, group_metadata: StrategyMetadata | None = None, ) -> tuple[torch.Tensor, Optional[torch.Tensor]]: - logits = self._prepare_logits_with_temperature( - logits, group_logit_indices, self._temperature - ) - new_tokens = flashinfer.sampling.sampling_from_logits( + new_tokens, _ = self._sample_with_probs( logits, - # NB: Leveraging 'indices' would require applying temperature+softmax before batching, - # because 'flashinfer.sampling.softmax' has no 'indices' argument; but that would - # compute unnecessarily softmax also for situations allowing - # flashinfer.sampling...._sampling_from_logits. - # indices=group_logit_indices, - deterministic=True, + group_logit_indices=group_logit_indices, + top_k=None, + top_p=None, + temperature=self._temperature, generator=generator, - check_nan=self._flashinfer_check_nans(logits), ) + # FIXME: https://nvbugs/5791242 + # logits = self._prepare_logits_with_temperature( + # logits, group_logit_indices, self._temperature + # ) + # new_tokens = flashinfer.sampling.sampling_from_logits( + # logits, + # # NB: Leveraging 'indices' would require applying temperature+softmax before batching, + # # because 'flashinfer.sampling.softmax' has no 'indices' argument; but that would + # # compute unnecessarily softmax also for situations allowing + # # flashinfer.sampling...._sampling_from_logits. + # # indices=group_logit_indices, + # deterministic=True, + # generator=generator, + # check_nan=self._flashinfer_check_nans(logits), + # ) return new_tokens, None class BeamSearchSampleOnly(BeamSearchMixin, StrategyImplSampleOnly): From ed6df35e1dff9eb3050612d34a5435eb2f4a4d30 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Tue, 20 Jan 2026 15:25:46 +0800 Subject: [PATCH 022/241] [https://nvbugs/5636916][fix] Fix accuracy issue of TWOSHOT AllReduce kernel (#10654) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- .../common/customAllReduceUtils.h | 142 +++++++++--------- .../allReduceFusionKernels.cu | 9 -- tests/microbenchmarks/all_reduce.py | 1 + .../allreduce_heuristic_code_gen.py | 2 +- .../test_accuracy_with_allreduce_strategy.py | 15 +- 5 files changed, 77 insertions(+), 92 deletions(-) diff --git a/cpp/tensorrt_llm/common/customAllReduceUtils.h b/cpp/tensorrt_llm/common/customAllReduceUtils.h index d718cbd188e9..5f35ff5f89e8 100644 --- a/cpp/tensorrt_llm/common/customAllReduceUtils.h +++ b/cpp/tensorrt_llm/common/customAllReduceUtils.h @@ -126,20 +126,20 @@ inline AllReduceStrategyType selectStrategyLookUpTable( inline AllReduceBestStrategyTableType AllReduceBestStrategyTableSM90 = {{ // TP=2 {// Fusion=NONE - {4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 5, 4, 4, 5, 5, 5, 4, 5, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 5, 4, 5, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 5, 5, 5, 5, 4, 4, 5, 0, 0, 0}, {4, 5, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 5, 5, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 5, 5, 5, 5, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 5, 5, 4, 5, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 - {4, 4, 4, 4, 4, 5, 5, 5, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 5, 5, 5, 5, 5, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 5, 5, 5, 5, 4, 5, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 5, 5, 4, 4, 4, 5, 4, 4, 4, 0, 0, 0}, {4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, @@ -147,20 +147,20 @@ inline AllReduceBestStrategyTableType AllReduceBestStrategyTableSM90 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}}}, { // TP=4 {// Fusion=NONE - {4, 4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 4, 0, 0, 0, 0}, - {4, 4, 4, 4, 5, 4, 5, 5, 5, 4, 4, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 5, 5, 4, 5, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 5, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 5, 5, 5, 5, 4, 5, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 5, 4, 5, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 5, 5, 4, 5, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 5, 4, 5, 5, 4, 4, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, @@ -168,20 +168,20 @@ inline AllReduceBestStrategyTableType AllReduceBestStrategyTableSM90 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}}}, { // TP=8 {// Fusion=NONE - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 0, 0, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 0, 5, 5, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 5, 0, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, @@ -191,67 +191,67 @@ inline AllReduceBestStrategyTableType AllReduceBestStrategyTableSM90 inline AllReduceBestStrategyTableType AllReduceBestStrategyTableSM100 = {{ // TP=2 {// Fusion=NONE - {4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, {4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM - {4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 5, 4, 4, 4, 5, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 - {4, 4, 4, 4, 5, 4, 5, 5, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 5, 5, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 - {4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 5, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, - {4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0}}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}}}, { // TP=4 {// Fusion=NONE - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0}}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}}}, { // TP=8 {// Fusion=NONE {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_FP8 {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0, 0}}, {// Fusion=RESIDUAL_RMS_NORM_QUANT_NVFP4 {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0}, - {4, 4, 4, 4, 4, 4, 4, 4, 5, 0, 0, 0, 0, 0, 0}}}}; + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 0, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 0, 0}, {4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0}, + {4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 0, 0}}}}; inline const std::unordered_map AllReduceBestStrategyTable = { {90, AllReduceBestStrategyTableSM90}, diff --git a/cpp/tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.cu b/cpp/tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.cu index 75bbddb56645..22d03117663e 100644 --- a/cpp/tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.cu +++ b/cpp/tensorrt_llm/kernels/communicationKernels/allReduceFusionKernels.cu @@ -137,17 +137,8 @@ public: // corresponding CTA has not been launched. for (int flag_idx = blockIdx.x; flag_idx < kBarrierFlagCount; flag_idx += gridDim.x) { -#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900)) - asm volatile( - "st.global.relaxed.sys.b32 [%1], %0;" ::"r"(m_flag_value), "l"(m_target_flag + flag_idx * NRanks)); -#else st_flag(m_target_flag + flag_idx * NRanks, m_flag_value); -#endif } -#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900)) - // Single release fence - asm volatile("fence.release.sys;"); -#endif while (ld_flag(m_current_flag) == prev_flag(m_flag_value)) { diff --git a/tests/microbenchmarks/all_reduce.py b/tests/microbenchmarks/all_reduce.py index 9f50b66d3b48..ca9d9a7610c3 100644 --- a/tests/microbenchmarks/all_reduce.py +++ b/tests/microbenchmarks/all_reduce.py @@ -141,6 +141,7 @@ def allreduce_benchmark( logger.set_rank(mapping.rank) AutoTuner.get().setup_distributed_state(mapping) + dist = Distributed.get(mapping) sm_version = get_sm_version() diff --git a/tests/scripts/allreduce_perf/allreduce_heuristic_code_gen.py b/tests/scripts/allreduce_perf/allreduce_heuristic_code_gen.py index e7aeb994b6e3..df45bf111eff 100644 --- a/tests/scripts/allreduce_perf/allreduce_heuristic_code_gen.py +++ b/tests/scripts/allreduce_perf/allreduce_heuristic_code_gen.py @@ -176,7 +176,7 @@ def main(): parser.add_argument("--enable_auto", action="store_true", default=False) args = parser.parse_args() - tp_size_list = [2] + tp_size_list = [2, 4, 8] # Process the benchmark data # combine all the data into one dataframe diff --git a/tests/unittest/_torch/ray_orchestrator/multi_gpu/test_accuracy_with_allreduce_strategy.py b/tests/unittest/_torch/ray_orchestrator/multi_gpu/test_accuracy_with_allreduce_strategy.py index 765bd7f5f40b..90e8029c6f96 100644 --- a/tests/unittest/_torch/ray_orchestrator/multi_gpu/test_accuracy_with_allreduce_strategy.py +++ b/tests/unittest/_torch/ray_orchestrator/multi_gpu/test_accuracy_with_allreduce_strategy.py @@ -282,15 +282,12 @@ def compare_logprobs(logprobs_list, ref_new_token_logprobs_list): def test_accuracy_with_allreduce_strategy(model_dir, sampler_type, allreduce_strategy): """Test accuracy with different allreduce strategies. - The default allreduce_strategy (AUTO) produced wrong logprobs with large batch size, - causing VeRL integration to fail to converge. There may be an issue with the - customAllReduce kernels. - - Tracked: NVBug (https://nvbugs/5727691) + This test validates that both NCCL and AUTO allreduce strategies produce + correct logprobs compared to HuggingFace reference implementation. Expected behavior: - allreduce_strategy="NCCL": Accuracy assertion PASSES - - allreduce_strategy="AUTO": Accuracy assertion FAILS + - allreduce_strategy="AUTO": Accuracy assertion PASSES """ model_dir = str(llm_models_root() / model_dir) @@ -401,8 +398,4 @@ async def process_all_chunks(hf_models: List[HFModel]): torch.cuda.empty_cache() # Compare LLM logprobs vs HF reference - if allreduce_strategy == "AUTO": - with pytest.raises(AssertionError, match=r"Final Min diff: .* is below threshold -2\.30"): - compare_logprobs(llm_logprobs, ref_new_token_logprobs) - else: - compare_logprobs(llm_logprobs, ref_new_token_logprobs) + compare_logprobs(llm_logprobs, ref_new_token_logprobs) From 307ea14002afe138f28949bd953db318f5efdc7a Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Tue, 20 Jan 2026 16:55:35 +0800 Subject: [PATCH 023/241] [None][infra] Waive failed cases for release branch on 01/20 (#10828) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 429f39e466f7..37a27a1fc502 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -396,3 +396,9 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mt accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5819021) accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] SKIP (https://nvbugs/5740377) accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) +llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) +unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-DistributedTuningStrategy.INDEPENDENT] SKIP (https://nvbugs/5823194) +accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=0] SKIP (https://nvbugs/5748600) +accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] SKIP (https://nvbugs/5748600) +accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5748664) +perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwell-r1_fp4_v2_tep4_mtp3_8k1k] SKIP (https://nvbugs/5819053) From 87ff718387ff74f7d0c3c581866422ceff1c8c54 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 20 Jan 2026 08:59:42 +0000 Subject: [PATCH 024/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 07a1127c1f77..77ac6b8d77dd 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -766,14 +766,14 @@ files = [ [[package]] name = "soupsieve" -version = "2.8.2" +version = "2.8.3" description = "A modern CSS selector implementation for Beautiful Soup." optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "soupsieve-2.8.2-py3-none-any.whl", hash = "sha256:0f4c2f6b5a5fb97a641cf69c0bd163670a0e45e6d6c01a2107f93a6a6f93c51a"}, - {file = "soupsieve-2.8.2.tar.gz", hash = "sha256:78a66b0fdee2ab40b7199dc3e747ee6c6e231899feeaae0b9b98a353afd48fd8"}, + {file = "soupsieve-2.8.3-py3-none-any.whl", hash = "sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95"}, + {file = "soupsieve-2.8.3.tar.gz", hash = "sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 10d2678cc10e..7634e3b0088d 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "460b8a5b992428ae8b3a51ee76444eac2d465d46", - "timestamp": "2026-01-19T07:59:24Z" + "commit_hash": "ed6df35e1dff9eb3050612d34a5435eb2f4a4d30", + "timestamp": "2026-01-20T08:16:34Z" } From 89bb6f3fba53744b6e474503840e0a1ec5946c2a Mon Sep 17 00:00:00 2001 From: Yanchao Lu Date: Tue, 20 Jan 2026 20:49:46 +0800 Subject: [PATCH 025/241] [None][chore] Reduce tedious logs (#10819) Signed-off-by: Yanchao Lu --- cpp/tensorrt_llm/runtime/ipcNvlsMemory.cu | 4 ++-- tensorrt_llm/_torch/modules/attention.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/cpp/tensorrt_llm/runtime/ipcNvlsMemory.cu b/cpp/tensorrt_llm/runtime/ipcNvlsMemory.cu index 031ac92168a2..345930ab37fc 100644 --- a/cpp/tensorrt_llm/runtime/ipcNvlsMemory.cu +++ b/cpp/tensorrt_llm/runtime/ipcNvlsMemory.cu @@ -434,7 +434,7 @@ bool ipcNvlsSupported() TLLM_CUDA_CHECK(cudaDriverGetVersion(&cuda_driver_version)); if (cuda_driver_version < 12010) { - TLLM_LOG_ERROR("CUDA Driver version < 12010"); + TLLM_LOG_DEBUG("CUDA Driver version < 12010"); return false; } @@ -448,7 +448,7 @@ bool ipcNvlsSupported() CUCHECK(cuDeviceGetAttribute(&multicast_supported, CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED, current_dev)); if (!multicast_supported) { - TLLM_LOG_ERROR("CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED not supported on GPU%d.", cuda_dev); + TLLM_LOG_DEBUG("CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED not supported on GPU%d.", cuda_dev); return false; } } diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py index 69ae313713ad..695001286451 100644 --- a/tensorrt_llm/_torch/modules/attention.py +++ b/tensorrt_llm/_torch/modules/attention.py @@ -334,11 +334,11 @@ def __init__( key="sparse_attention_config") if config.sparse_attention_config.algorithm == "rocket": - logger.warning("disable rope_fusion for RocketKV.") + logger.info_once("disable rope_fusion for RocketKV.") self.rope_fusion = False if self.rope_fusion and not attn_cls.support_fused_rope(): - logger.warning( + logger.info_once( "rope_fusion is true but the attention backend does not support it. Will disable rope_fusion." ) self.rope_fusion = False From 837579c72df44088e1e5607b2886bab6b68beea4 Mon Sep 17 00:00:00 2001 From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Date: Wed, 21 Jan 2026 10:36:53 +0800 Subject: [PATCH 026/241] [None][test] Update case for release (#10811) Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> --- tests/integration/defs/accuracy/test_llm_api_pytorch.py | 3 ++- tests/integration/test_lists/qa/llm_function_core.txt | 2 ++ tests/integration/test_lists/qa/llm_function_stress.txt | 2 -- 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py index db6ef3c4e8e4..3ac40922087a 100644 --- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py +++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py @@ -4993,7 +4993,7 @@ def test_fp8_8gpus(self): pytest.skip(f"Model directory {model_dir} does not exist") # Configure model settings - kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.8, + kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.4, enable_block_reuse=True, enable_partial_reuse=False, dtype="fp8") @@ -5319,6 +5319,7 @@ class TestNemotronV3Super(LlmapiAccuracyTestHarness): EXTRA_EVALUATOR_KWARGS = dict(chat_template_kwargs=dict( enable_thinking=False)) + @skip_pre_hopper @pytest.mark.skip_less_device_memory(64000) @pytest.mark.skip_less_mpi_world_size(4) @pytest.mark.parametrize( diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt index 1928574cf389..ef01d699d82b 100644 --- a/tests/integration/test_lists/qa/llm_function_core.txt +++ b/tests/integration/test_lists/qa/llm_function_core.txt @@ -117,6 +117,8 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp_trtllm] accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[latency] accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[throughput] +accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_fp8_8gpus TIMEOUT (240) +accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_nvfp4_4gpus TIMEOUT (240) accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline] accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline_mtp1] accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline_fp8kv] diff --git a/tests/integration/test_lists/qa/llm_function_stress.txt b/tests/integration/test_lists/qa/llm_function_stress.txt index a4f744b469d6..7b14358fd3ed 100644 --- a/tests/integration/test_lists/qa/llm_function_stress.txt +++ b/tests/integration/test_lists/qa/llm_function_stress.txt @@ -3,5 +3,3 @@ stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_360 stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-deepseek_r1_v2_fp4_stress] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-gpt_oss_120b_stress] -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_fp8_8gpus -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_nvfp4_4gpus From 226274a635be14f4bf159570e35caa5d869748c0 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Wed, 21 Jan 2026 11:06:16 +0800 Subject: [PATCH 027/241] [None][fix] Fix the potential access issue of cache operations between ranks. (#10822) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- tensorrt_llm/_torch/autotuner.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tensorrt_llm/_torch/autotuner.py b/tensorrt_llm/_torch/autotuner.py index f68d9c7f6ccc..89fb89a05436 100644 --- a/tensorrt_llm/_torch/autotuner.py +++ b/tensorrt_llm/_torch/autotuner.py @@ -505,9 +505,8 @@ def load_cache(self, file_path: Union[str, Path], rank: int) -> None: fcntl.flock(f, fcntl.LOCK_SH) current_cache_contents = json.load(f) self._deserialize_metadata(current_cache_contents["metadata"]) - assert f"rank_{rank}" in current_cache_contents, f"Rank {rank} cache not found in {file_path}" self.cache = self._deserialize_cache_data( - current_cache_contents[f'rank_{rank}']) + current_cache_contents.get(f'rank_{rank}', {})) logger.info( f"[AutoTuner] Successfully loaded cache from {file_path} using JSON format" ) From 4791ee7af42c919e3f36232ca262c3cb15cfc5e8 Mon Sep 17 00:00:00 2001 From: Yanchao Lu Date: Wed, 21 Jan 2026 11:08:44 +0800 Subject: [PATCH 028/241] [None][chore] Revert NVIDIA/TensorRT-LLM#10819 (#10870) Signed-off-by: Yanchao Lu --- tensorrt_llm/_torch/modules/attention.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py index 695001286451..69ae313713ad 100644 --- a/tensorrt_llm/_torch/modules/attention.py +++ b/tensorrt_llm/_torch/modules/attention.py @@ -334,11 +334,11 @@ def __init__( key="sparse_attention_config") if config.sparse_attention_config.algorithm == "rocket": - logger.info_once("disable rope_fusion for RocketKV.") + logger.warning("disable rope_fusion for RocketKV.") self.rope_fusion = False if self.rope_fusion and not attn_cls.support_fused_rope(): - logger.info_once( + logger.warning( "rope_fusion is true but the attention backend does not support it. Will disable rope_fusion." ) self.rope_fusion = False From 07a2878aee4527ba0547c6ef09ef0ec295be3d20 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 21 Jan 2026 04:24:56 +0000 Subject: [PATCH 029/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/cpp/kernels/fmha_v2/poetry.lock | 2 +- security_scanning/docs/poetry.lock | 2 +- security_scanning/examples/apps/poetry.lock | 2 +- security_scanning/examples/auto_deploy/poetry.lock | 2 +- security_scanning/examples/draft_target_model/poetry.lock | 2 +- security_scanning/examples/eagle/poetry.lock | 2 +- .../examples/llm-eval/lm-eval-harness/poetry.lock | 2 +- security_scanning/examples/longbench/poetry.lock | 2 +- security_scanning/examples/lookahead/poetry.lock | 2 +- security_scanning/examples/medusa/poetry.lock | 2 +- .../examples/models/contrib/baichuan/poetry.lock | 2 +- .../examples/models/contrib/bloom/poetry.lock | 2 +- .../examples/models/contrib/chatglm-6b/poetry.lock | 2 +- .../examples/models/contrib/chatglm2-6b/poetry.lock | 2 +- .../examples/models/contrib/chatglm3-6b-32k/poetry.lock | 2 +- .../examples/models/contrib/dbrx/poetry.lock | 2 +- .../examples/models/contrib/deepseek_v1/poetry.lock | 2 +- .../examples/models/contrib/deepseek_v2/poetry.lock | 2 +- .../examples/models/contrib/falcon/poetry.lock | 2 +- .../examples/models/contrib/gptj/poetry.lock | 2 +- .../examples/models/contrib/gptneox/poetry.lock | 2 +- .../examples/models/contrib/grok/poetry.lock | 2 +- .../examples/models/contrib/hyperclovax/poetry.lock | 2 +- .../examples/models/contrib/internlm/poetry.lock | 2 +- .../examples/models/contrib/jais/poetry.lock | 2 +- .../examples/models/contrib/mmdit/poetry.lock | 2 +- security_scanning/examples/models/contrib/mpt/poetry.lock | 2 +- security_scanning/examples/models/contrib/opt/poetry.lock | 2 +- .../examples/models/contrib/skywork/poetry.lock | 2 +- .../examples/models/contrib/smaug/poetry.lock | 2 +- .../examples/models/contrib/stdit/poetry.lock | 2 +- .../examples/models/core/commandr/poetry.lock | 2 +- security_scanning/examples/models/core/gemma/poetry.lock | 8 ++++---- .../examples/models/core/glm-4-9b/poetry.lock | 2 +- security_scanning/examples/models/core/gpt/poetry.lock | 2 +- .../examples/models/core/internlm2/poetry.lock | 2 +- security_scanning/examples/models/core/llama/poetry.lock | 2 +- security_scanning/examples/models/core/mamba/poetry.lock | 2 +- .../examples/models/core/mixtral/poetry.lock | 2 +- security_scanning/examples/models/core/mllama/poetry.lock | 2 +- .../examples/models/core/nemotron/poetry.lock | 2 +- security_scanning/examples/models/core/phi/poetry.lock | 2 +- security_scanning/examples/models/core/qwen/poetry.lock | 2 +- .../examples/models/core/qwen2audio/poetry.lock | 2 +- security_scanning/examples/models/core/qwenvl/poetry.lock | 8 ++++---- .../examples/models/core/recurrentgemma/poetry.lock | 2 +- .../examples/models/core/whisper/poetry.lock | 2 +- security_scanning/examples/ngram/poetry.lock | 2 +- security_scanning/examples/quantization/poetry.lock | 2 +- security_scanning/examples/ray_orchestrator/poetry.lock | 2 +- security_scanning/examples/redrafter/poetry.lock | 2 +- .../examples/scaffolding/contrib/Dynasor/poetry.lock | 2 +- security_scanning/examples/serve/poetry.lock | 8 ++++---- security_scanning/examples/trtllm-eval/poetry.lock | 2 +- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 8 ++++---- security_scanning/tests/integration/defs/perf/poetry.lock | 8 ++++---- security_scanning/triton_backend/poetry.lock | 2 +- 58 files changed, 74 insertions(+), 74 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index 2796e7232174..fc31d9a2d9a5 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ b/security_scanning/cpp/kernels/fmha_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "attrs" diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 77ac6b8d77dd..fcc5d5ef9716 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "accessible-pygments" diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index b1c0613b01c3..4fd491e0d47a 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "annotated-types" diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index b11c8c5c79d3..3488fe1f0325 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 5aa7d009098a..72cc173c1b79 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index a95bf2888fad..1fbc14d2c40b 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 5d195256b14b..792ef54341c5 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/longbench/poetry.lock b/security_scanning/examples/longbench/poetry.lock index 15375f8710a2..ade8936c46b2 100644 --- a/security_scanning/examples/longbench/poetry.lock +++ b/security_scanning/examples/longbench/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "fuzzywuzzy" diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 5aa7d009098a..72cc173c1b79 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 5aa7d009098a..72cc173c1b79 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 863d0e7bb997..c31806682aa5 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 4b16a3fb4b51..aae188908fe6 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index 025618e85f1a..4167c622557f 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index 025618e85f1a..4167c622557f 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 025618e85f1a..4167c622557f 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index cd2d3e4541ab..464ee7bd714b 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index b1e8fb0e7c51..b405bcb1f908 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 8e8eb4f0dcde..64bf0d82d6a1 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 5969b7f19b51..1428d29752f8 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index b7661745c86b..a616f769e09b 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index 7067e159647e..9a28d3c0e0ba 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "anyio" diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 5aa7d009098a..72cc173c1b79 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 4b16a3fb4b51..aae188908fe6 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 1e5a2b232129..0627ca1cf35c 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "anyio" diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 4b16a3fb4b51..aae188908fe6 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 4b16a3fb4b51..aae188908fe6 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index ca28bc01ce03..5a62f82eaf12 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "attrs" diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index febe0aef8612..fc9f4c00e24f 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" @@ -1575,14 +1575,14 @@ test = ["flax (>=0.5.3)", "scikit-learn", "scipy (>=1.7.1)"] [[package]] name = "orbax-checkpoint" -version = "0.11.31" +version = "0.11.32" description = "Orbax Checkpoint" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "orbax_checkpoint-0.11.31-py3-none-any.whl", hash = "sha256:b00e39cd61cbd6c7c78b091ccac0ed1bbf3cf7788e761618e7070761195bfcc0"}, - {file = "orbax_checkpoint-0.11.31.tar.gz", hash = "sha256:f021193a619782655798bc4a285f40612f6fe647ddeb303d1f49cdbc5645e319"}, + {file = "orbax_checkpoint-0.11.32-py3-none-any.whl", hash = "sha256:f0bfe9f9b1ce2c32c8f5dfab63393e51de525d41352abc17c7e21f9cc731d7a9"}, + {file = "orbax_checkpoint-0.11.32.tar.gz", hash = "sha256:523dcf61e93c7187c6b80fd50f3177114c0b957ea62cbb5c869c0b3e3d1a7dfc"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 025618e85f1a..4167c622557f 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 4b16a3fb4b51..aae188908fe6 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/internlm2/poetry.lock b/security_scanning/examples/models/core/internlm2/poetry.lock index cf3b2372e24b..9ef81450e95b 100644 --- a/security_scanning/examples/models/core/internlm2/poetry.lock +++ b/security_scanning/examples/models/core/internlm2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "einops" diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 0f6aff2b9b7e..5207abc0800b 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 1cfd6016ba36..8065895eee95 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 1bb0e1111094..29bd2ef7b61e 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "accelerate" diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index 5d88514d563a..f7b9f3cdd7ff 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "annotated-types" diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index e7124f2c87be..ca56936166d8 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 5f29ea825035..d0bb484cdcc8 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index c2e59106f6c7..5ec7d64205e9 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index f960d46ec6cb..8fc675c91f36 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index e1538df8fd2a..a1502d9df093 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" @@ -2495,14 +2495,14 @@ files = [ [[package]] name = "pyparsing" -version = "3.3.1" +version = "3.3.2" description = "pyparsing - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "pyparsing-3.3.1-py3-none-any.whl", hash = "sha256:023b5e7e5520ad96642e2c6db4cb683d3970bd640cdf7115049a6e9c3682df82"}, - {file = "pyparsing-3.3.1.tar.gz", hash = "sha256:47fad0f17ac1e2cad3de3b458570fbc9b03560aa029ed5e16ee5554da9a2251c"}, + {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, + {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, ] [package.extras] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 2148a2017642..50f20ed0e07f 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index fa2f8f299ff8..f8a8cde6ee0d 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index 544aa2970745..2dce4d26a877 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 8de41a4bf847..06eef955fa96 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index df97c65818a1..b846dee69f99 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 5aa7d009098a..72cc173c1b79 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock index 166e22bcb7a2..06c514d329b9 100644 --- a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock +++ b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "antlr4-python3-runtime" diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 8149b7012fb9..7b22ba48bb7d 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "aiofiles" @@ -2800,14 +2800,14 @@ windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pyparsing" -version = "3.3.1" +version = "3.3.2" description = "pyparsing - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "pyparsing-3.3.1-py3-none-any.whl", hash = "sha256:023b5e7e5520ad96642e2c6db4cb683d3970bd640cdf7115049a6e9c3682df82"}, - {file = "pyparsing-3.3.1.tar.gz", hash = "sha256:47fad0f17ac1e2cad3de3b458570fbc9b03560aa029ed5e16ee5554da9a2251c"}, + {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, + {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, ] [package.extras] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index a2a134565d4c..fc7b270a64d1 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 7634e3b0088d..3df35c84469a 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "ed6df35e1dff9eb3050612d34a5435eb2f4a4d30", - "timestamp": "2026-01-20T08:16:34Z" + "commit_hash": "4791ee7af42c919e3f36232ca262c3cb15cfc5e8", + "timestamp": "2026-01-21T04:00:53Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 2c8283cecb52..33d8526332ad 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "accelerate" @@ -4738,14 +4738,14 @@ test = ["pytest (>=3.6)", "pytest-cov", "pytest-runner"] [[package]] name = "pyparsing" -version = "3.3.1" +version = "3.3.2" description = "pyparsing - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "pyparsing-3.3.1-py3-none-any.whl", hash = "sha256:023b5e7e5520ad96642e2c6db4cb683d3970bd640cdf7115049a6e9c3682df82"}, - {file = "pyparsing-3.3.1.tar.gz", hash = "sha256:47fad0f17ac1e2cad3de3b458570fbc9b03560aa029ed5e16ee5554da9a2251c"}, + {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, + {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, ] [package.extras] diff --git a/security_scanning/tests/integration/defs/perf/poetry.lock b/security_scanning/tests/integration/defs/perf/poetry.lock index f1753825ba20..5783a220d5d2 100644 --- a/security_scanning/tests/integration/defs/perf/poetry.lock +++ b/security_scanning/tests/integration/defs/perf/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "contourpy" @@ -719,14 +719,14 @@ xmp = ["defusedxml"] [[package]] name = "pyparsing" -version = "3.3.1" +version = "3.3.2" description = "pyparsing - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "pyparsing-3.3.1-py3-none-any.whl", hash = "sha256:023b5e7e5520ad96642e2c6db4cb683d3970bd640cdf7115049a6e9c3682df82"}, - {file = "pyparsing-3.3.1.tar.gz", hash = "sha256:47fad0f17ac1e2cad3de3b458570fbc9b03560aa029ed5e16ee5554da9a2251c"}, + {file = "pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d"}, + {file = "pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc"}, ] [package.extras] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index b914653e8627..b97c2cec00f8 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. [[package]] name = "certifi" From 7a3f264dff0224bc2e99515b3f79cdc04a4a228d Mon Sep 17 00:00:00 2001 From: dominicshanshan <30051912+dominicshanshan@users.noreply.github.com> Date: Wed, 21 Jan 2026 13:39:32 +0800 Subject: [PATCH 030/241] [https://nvbugs/5814203][fix] Fix port 8000 being used issue in stress test. (#10756) Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com> --- .../defs/stress_test/stress_test.py | 51 +++++++++++++++++-- .../integration/test_lists/test-db/l0_a10.yml | 4 +- tests/integration/test_lists/waives.txt | 1 - 3 files changed, 48 insertions(+), 8 deletions(-) diff --git a/tests/integration/defs/stress_test/stress_test.py b/tests/integration/defs/stress_test/stress_test.py index f81f0ab2bd25..f5fed7b0ebbb 100644 --- a/tests/integration/defs/stress_test/stress_test.py +++ b/tests/integration/defs/stress_test/stress_test.py @@ -32,6 +32,7 @@ import json import os import re +import socket import subprocess import tempfile import threading @@ -44,7 +45,7 @@ import pytest import requests import yaml -from defs.common import parse_gsm8k_output +from defs.common import get_free_port_in_ci, parse_gsm8k_output from defs.conftest import get_device_count, get_device_memory, llm_models_root from defs.trt_test_alternative import (Popen, cleanup_process_tree, print_info, print_warning) @@ -72,10 +73,18 @@ GRACEFUL_TERMINATION_TIMEOUT = 300 # seconds - set longer when stress large model +def _get_default_port() -> int: + """Get a default port using CI allocation if available, otherwise use 8000.""" + try: + return get_free_port_in_ci() + except Exception: + return 8000 + + @dataclass(frozen=True) class ServerConfig: """Dataclass to store server configuration for trtllm-serve""" - port: int = 8000 + port: int = field(default_factory=_get_default_port) host: str = "localhost" pp_size: int = 1 ep_size: Optional[int] = 1 @@ -167,8 +176,7 @@ class PerformanceParams: # Ensure indefinite runs specially for different concurrency values test_timeout: int = 3600 # 1 hours for tinyllama and llama-v3-8b-instruct-hf concurrency_list: List[int] = field( - default_factory=lambda: - [8, 16, 32, 64, 128, 256, 384, 512, 640, 768, 896, 1024]) + default_factory=lambda: [8, 16, 32, 64, 128, 256]) @property def request_count_list(self) -> List[int]: @@ -341,6 +349,26 @@ def check_server_health(server_url: str, return False, f"Unexpected error during health check: {str(e)}" +def is_port_available(port: int, + host: str = "localhost") -> Tuple[bool, Optional[str]]: + """ + Check if a port is available for binding. + + Args: + port: Port number to check + host: Host to bind to + + Returns: + Tuple of (is_available, error_message) + """ + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + try: + s.bind((host, port)) + return True, None + except OSError as e: + return False, f"Port {port} is already in use on {host}: {e}" + + @pytest.mark.parametrize( "test_mode", ["stress-test", "stress-stage-alone", "stress-test-with-accuracy"], @@ -519,6 +547,10 @@ def stress_test(config, else: stress_config = None + # Check if port is available + is_available, port_error = is_port_available(test_server_config.port, + test_server_config.host) + # Check if server is already running is_healthy, _ = check_server_health(test_server_config.url, test_server_config.health_check_timeout) @@ -530,6 +562,9 @@ def stress_test(config, # Start server print_info("Starting trtllm-serve server...") print_info(f"Model path: {model_path}") + print_info( + f"Server port: {test_server_config.port} (allocated via CI port mechanism)" + ) # Verify that model path exists if not os.path.exists(model_path): @@ -552,7 +587,7 @@ def stress_test(config, extra_llm_options.update({ "cuda_graph_config": { "enable_padding": True, - "batch_sizes": [1, 2, 4, 8, 16, 32, 64, 128, 256, 384], + "batch_sizes": [1, 2, 4, 8, 16, 32, 64, 128], }, "print_iter_log": True, }) @@ -759,6 +794,7 @@ def create_aiperf_command(model_name, model_path, request_count, concurrency, + server_url, input_len_mean=PerformanceParams.input_len_mean, input_len_std=PerformanceParams.input_len_std, output_len_mean=PerformanceParams.output_len_mean, @@ -772,6 +808,7 @@ def create_aiperf_command(model_name, model_path: Path to the model request_count: Number of requests to send concurrency: Number of concurrent requests + server_url: URL of the server (e.g., "localhost:8000") input_len_mean: Mean input length input_len_std: Standard deviation of input length output_len_mean: Mean output length @@ -790,6 +827,8 @@ def create_aiperf_command(model_name, model_path, "--endpoint-type", "completions", + "-u", + server_url, "--random-seed", "123", "--synthetic-input-tokens-mean", @@ -928,6 +967,7 @@ def measure_capacity_stage(model_name, model_path=model_path, request_count=request_count, concurrency=concurrency, + server_url=f"{server_config.host}:{server_config.port}", input_len_mean=performance_params.input_len_mean, input_len_std=performance_params.input_len_std, output_len_mean=performance_params.output_len_mean, @@ -1023,6 +1063,7 @@ def stress_stage(model_name, model_path=model_path, request_count=request_count, concurrency=stress_concurrency, + server_url=f"{server_config.host}:{server_config.port}", input_len_mean=PerformanceParams.input_len_mean, input_len_std=PerformanceParams.input_len_std, output_len_mean=PerformanceParams.output_len_mean, diff --git a/tests/integration/test_lists/test-db/l0_a10.yml b/tests/integration/test_lists/test-db/l0_a10.yml index df380e1b0482..9b89844efaab 100644 --- a/tests/integration/test_lists/test-db/l0_a10.yml +++ b/tests/integration/test_lists/test-db/l0_a10.yml @@ -238,8 +238,8 @@ l0_a10: - accuracy/test_cli_flow.py::TestVicuna7B::test_eagle[cuda_graph=True-chunked_context=False-typical_acceptance=True] # 5 mins - accuracy/test_llm_api.py::TestEagleVicuna_7B_v1_3::test_auto_dtype - accuracy/test_llm_api.py::TestEagle2Vicuna_7B_v1_3::test_auto_dtype - - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-trt-stress-test] - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-GUARANTEED_NO_EVICT-trt-stress-test] + - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] - test_e2e.py::test_gpt3_175b_1layers_build_only # 6 mins - examples/test_chatglm.py::test_llm_glm_4_9b_single_gpu_summary[glm-4-9b-disable_weight_only] - unittest/trt/model/test_mamba.py # 3 mins @@ -259,8 +259,8 @@ l0_a10: stage: post_merge backend: pytorch tests: - - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-GUARANTEED_NO_EVICT-pytorch-stress-test] + - stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] - condition: ranges: system_gpu_count: diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 37a27a1fc502..6efabc4a503d 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -383,7 +383,6 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mt accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) accuracy/test_llm_api_pytorch.py::TestNemotronV3Super::test_auto_dtype_4gpus[4-4-True-False-True] SKIP (https://nvbugs/5810980) -stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] SKIP (https://nvbugs/5814203) examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://nvbugs/5781731) unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-6] SKIP (https://nvbugs/5814247) unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-8] SKIP (https://nvbugs/5814247) From 8bf736ae5a8cd96b64514a8bf6d020c9183758cc Mon Sep 17 00:00:00 2001 From: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> Date: Wed, 21 Jan 2026 13:47:43 +0800 Subject: [PATCH 031/241] [https://nvbugs/5747938][infra] Unwaive trtllm serve example test (#10820) Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 6efabc4a503d..f06d74ad350b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -267,7 +267,6 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[pp4-fp accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=False] SKIP (https://nvbugs/5740377) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) test_e2e.py::test_trtllm_serve_multimodal_example SKIP (https://nvbugs/5747920) -test_e2e.py::test_trtllm_serve_example SKIP (https://nvbugs/5747938) triton_server/test_triton.py::test_opt[opt] SKIP (https://nvbugs/5739981) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus_online_eplb[fp8kv=True-moe_backend=TRTLLM] SKIP (https://nvbugs/5740377) cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-2proc-mpi_kvcache-90] SKIP (https://nvbugs/5755941) From 4e38b997fbbc534c5bb8333983e1f9f31f184a47 Mon Sep 17 00:00:00 2001 From: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com> Date: Thu, 22 Jan 2026 05:09:43 +0800 Subject: [PATCH 032/241] [https://nvbugs/5754977][fix] Use free port for serve test (#10878) Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com> --- .../defs/examples/serve/test_serve.py | 16 +++++++++------- tests/integration/test_lists/waives.txt | 1 - 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/tests/integration/defs/examples/serve/test_serve.py b/tests/integration/defs/examples/serve/test_serve.py index d5bfb03f3093..c769be461039 100644 --- a/tests/integration/defs/examples/serve/test_serve.py +++ b/tests/integration/defs/examples/serve/test_serve.py @@ -7,13 +7,14 @@ import pytest import requests import yaml +from defs.common import get_free_port_in_ci from defs.conftest import llm_models_root, skip_no_hopper from defs.trt_test_alternative import popen, print_error, print_info from openai import OpenAI from requests.exceptions import RequestException -def check_server_ready(http_port="8000", timeout_timer=600, sleep_interval=5): +def check_server_ready(http_port, timeout_timer=600, sleep_interval=5): timer = 0 while timer <= timeout_timer: try: @@ -49,7 +50,7 @@ def wait_for_log(log_queue, expected_log, timeout=10): return False -def check_openai_chat_completion(http_port="8000", +def check_openai_chat_completion(http_port, model_name="TinyLlama-1.1B-Chat-v1.0"): """ Test the launched trtllm-serve server using OpenAI client. @@ -127,6 +128,7 @@ def test_config_file_loading(serve_test_root, config_flag): assert os.path.exists( model_path), f"model_path does not exist: {model_path}" + port = get_free_port_in_ci() cmd = [ "trtllm-serve", "serve", @@ -134,7 +136,7 @@ def test_config_file_loading(serve_test_root, config_flag): "--host", "0.0.0.0", "--port", - "8000", + str(port), "--backend", "pytorch", config_flag, @@ -143,11 +145,11 @@ def test_config_file_loading(serve_test_root, config_flag): print_info(f"Launching trtllm-serve with {config_flag}...") with popen(cmd): - check_server_ready() + check_server_ready(http_port=port) # Extract model name from the model path for consistency model_name = model_path.split('/')[-1] # "Qwen3-30B-A3B-FP8" # Test the server with OpenAI chat completion - check_openai_chat_completion(model_name=model_name) + check_openai_chat_completion(http_port=port, model_name=model_name) @skip_no_hopper @@ -170,7 +172,7 @@ def test_env_overrides_pdl(tmp_path): } })) - port = 8001 + port = get_free_port_in_ci() env = os.environ.copy() # Pre-load with 0 to verify override works env.update({ @@ -198,7 +200,7 @@ def test_env_overrides_pdl(tmp_path): [output_queue.put(line) for line in iter(proc.stdout.readline, '')], daemon=True).start() - check_server_ready(http_port=str(port), timeout_timer=300) + check_server_ready(http_port=port, timeout_timer=300) response = OpenAI(base_url=f"http://localhost:{port}/v1", api_key="tensorrt_llm").chat.completions.create( model="TinyLlama-1.1B-Chat-v1.0", diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f06d74ad350b..9274a4be38a3 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -290,7 +290,6 @@ unittest/_torch/multi_gpu/test_mnnvl_allreduce.py::test_row_linear_residual_norm triton_server/test_triton.py::test_gpt_speculative_decoding[gpt-speculative-decoding] SKIP (https://nvbugs/5762854) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8B_Instruct_RocketKV::test_auto_dtype SKIP (https://nvbugs/5762822) unittest/_torch/sampler/test_return_logits.py SKIP (https://nvbugs/5764627) -examples/serve/test_serve.py::test_config_file_loading[--config] SKIP (https://nvbugs/5754977) full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp2pp2-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugspro.nvidia.com/bug/5794313) examples/test_ray.py::test_ray_disaggregated_serving[tp2] SKIP (https://nvbugs/5612502) unittest/executor/test_rpc_proxy.py SKIP (https://nvbugs/5605741) From 0362a423b3bf38f86f595bbbf5248faec6a32757 Mon Sep 17 00:00:00 2001 From: HuiGao-NV Date: Thu, 22 Jan 2026 11:04:47 +0800 Subject: [PATCH 033/241] [https://nvbugs/5740377][fix] Prevent out-of-bounds read (#10868) Signed-off-by: Hui Gao Co-authored-by: Thor Johnsen <41591019+thorjohnsen@users.noreply.github.com> --- .../batch_manager/kvCacheManager.h | 3 + .../batch_manager/kvCacheManager.cpp | 151 +++++++++++------- tests/integration/test_lists/waives.txt | 5 - 3 files changed, 99 insertions(+), 60 deletions(-) diff --git a/cpp/include/tensorrt_llm/batch_manager/kvCacheManager.h b/cpp/include/tensorrt_llm/batch_manager/kvCacheManager.h index 62fc4fcb301e..94717307b644 100644 --- a/cpp/include/tensorrt_llm/batch_manager/kvCacheManager.h +++ b/cpp/include/tensorrt_llm/batch_manager/kvCacheManager.h @@ -288,6 +288,9 @@ class KVCacheBlock void removeNextBlock(BlockKey const& blockKey); + void freeDescendantsRecursively(); + void freeBlockAndAllDescendants(); + //! \brief Find block matching blockKey. If allowPartial is true, the returned block may match only a prefix of //! blockKey. //! @return tuple of [partialMatch, numMatched, block], partialMatch is true if not all the tokens of the block were diff --git a/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp b/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp index c0bf858cc9ec..1ce9a08a91e2 100644 --- a/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp +++ b/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp @@ -477,6 +477,32 @@ void KVCacheBlock::removeNextBlock(BlockKey const& blockKey) mNextBlocks.erase(blockKey); } +void KVCacheBlock::freeDescendantsRecursively() +{ + bool hasChildren = !mNextBlocks.empty(); + if (hasChildren) + { + for (auto it = mNextBlocks.begin(); it != mNextBlocks.end();) + { + it->second->freeDescendantsRecursively(); + TLLM_LOG_DEBUG("KVCacheBlock::freeDescendantsRecursively - Freeing block %d", it->second->getBlockId()); + it = mNextBlocks.erase(it); + } + } + mPrevBlock = nullptr; +} + +void KVCacheBlock::freeBlockAndAllDescendants() +{ + // free from previous block + if (mPrevBlock != nullptr) + { + mPrevBlock->removeNextBlock(mBlockKey); + mPrevBlock = nullptr; + } + freeDescendantsRecursively(); +} + bool KVCacheBlock::isFull() const { return mIsFull; @@ -956,19 +982,14 @@ void WindowBlockManager::freeLeafBlock(BlockPtr const& block) void WindowBlockManager::freeChildren(BlockPtr const& block) { - // Free all descendants of block - for (auto const& p : block->getNextBlocks()) - { - auto childBlock = p.second; - freeChildren(childBlock); - } - - // Free block + // Tell event manager we are freeing block if (mEventManager && blockInRadixTree(block)) { mEventManager->enqueueRemovedEvent(block, mWindowSize); } - freeLeafBlock(block); + + // Free block and all it's descendants from radix tree + block->freeBlockAndAllDescendants(); } BlockPtr WindowBlockManager::getFreeBlock(GenerationRequest& sequence, executor::RetentionPriority priority, @@ -1567,60 +1588,80 @@ std::pair> WindowBlockManager::sto auto searchRoot = mCachedBlocksRoot; bool needMatch = true; - auto numBlocks = blockKeys.size(); + // There is no guarantee that these vectors will be the same length. + // Only iterate as long as we have valid blockKey and blockId. + auto numBlocks = std::min(blockKeys.size(), blockIds.size()); std::vector storedBlocks; std::vector pinnedBlockIds; for (std::size_t blockCnt = 0; blockCnt < numBlocks; ++blockCnt) { - auto const bid = blockIds[blockCnt]; - TLLM_LOG_DEBUG("%s::storeBlocks - Searching match for block %d", mLogPrefix.c_str(), bid); - auto& block = mAllBlocksById[bid]; - auto const& blockKey = blockKeys[blockCnt]; - - auto [partialMatch, numMatched, matchedBlock] - = needMatch ? searchRoot->findMatchingBlock(blockKey, false, false) : std::make_tuple(false, 0, nullptr); - if (matchedBlock != nullptr) - { - // Found match - TLLM_LOG_DEBUG( - "%s::storeBlocks - Found matching block %d, traverse", mLogPrefix.c_str(), matchedBlock->getBlockId()); - searchRoot = matchedBlock; - // TODO possible optimization: if bid != matchedBlock->getBlockId(), - // block can be freed and inserted at mFreePrimaryBlocks.begin() - } - else - { - // No match - TLLM_LOG_DEBUG("%s::storeBlocks - No match, inserting block %d into search structure", mLogPrefix.c_str(), - block->getBlockId()); - TLLM_CHECK_WITH_INFO(block->getBlockId() == bid, - "Block id mismatch " + std::to_string(block->getBlockId()) + " != " + std::to_string(bid)); - needMatch = false; // no matching needed for following blocks - block->setBlockKey(blockKey, static_cast(blockKey.uniqueTokens.size()) == mTokensPerBlock); - block->setPrevBlock(searchRoot); - block->setPrevBlockInSeq(searchRoot); - searchRoot->addNextBlock(blockKey, block); - - // Sanity check. The list of stored blocks should be connected. - TLLM_CHECK(storedBlocks.empty() || block->getPrevBlock() == storedBlocks.back()); - - storedBlocks.push_back(block); - TLLM_CHECK(block->getPrevBlockInSeq() == nullptr - || block->getPrevBlockInSeq()->getHash() == searchRoot->getHash()); - auto oldHash = block->getHash(); - auto newHash = BlockKeyHasher()(blockKey, searchRoot->getHash()); - if (oldHash != newHash) + try + { + // Protect against blockIds being shorter than blockKeys. + auto const bid = blockIds.at(blockCnt); + TLLM_LOG_DEBUG("%s::storeBlocks - Searching match for block %d", mLogPrefix.c_str(), bid); + // We set blockId to an invalid value to indicate that a block has been released early for a limited + // attention layer. Make sure we don't store an invalid block because of this. + auto& block = mAllBlocksById.at(bid); + // Protect against blockKeys being shorter than blockIds. + auto const& blockKey = blockKeys.at(blockCnt); + + // If either of the above error conditions occur, std::vector::at will throw an exception, which is caught + // further down. This will prevent an invalid block from being stored for reuse. The catch clause exits loop + // early, preventing blocks following an invalid block from being reused. + + auto [partialMatch, numMatched, matchedBlock] = needMatch + ? searchRoot->findMatchingBlock(blockKey, false, false) + : std::make_tuple(false, 0, nullptr); + if (matchedBlock != nullptr) + { + // Found match + TLLM_LOG_DEBUG("%s::storeBlocks - Found matching block %d, traverse", mLogPrefix.c_str(), + matchedBlock->getBlockId()); + searchRoot = matchedBlock; + // TODO possible optimization: if bid != matchedBlock->getBlockId(), + // block can be freed and inserted at mFreePrimaryBlocks.begin() + } + else + { + // No match + TLLM_LOG_DEBUG("%s::storeBlocks - No match, inserting block %d into search structure", + mLogPrefix.c_str(), block->getBlockId()); + TLLM_CHECK_WITH_INFO(block->getBlockId() == bid, + "Block id mismatch " + std::to_string(block->getBlockId()) + " != " + std::to_string(bid)); + needMatch = false; // no matching needed for following blocks + block->setBlockKey(blockKey, static_cast(blockKey.uniqueTokens.size()) == mTokensPerBlock); + block->setPrevBlock(searchRoot); + block->setPrevBlockInSeq(searchRoot); + searchRoot->addNextBlock(blockKey, block); + + // Sanity check. The list of stored blocks should be connected. + TLLM_CHECK(storedBlocks.empty() || block->getPrevBlock() == storedBlocks.back()); + + storedBlocks.push_back(block); + TLLM_CHECK(block->getPrevBlockInSeq() == nullptr + || block->getPrevBlockInSeq()->getHash() == searchRoot->getHash()); + auto oldHash = block->getHash(); + auto newHash = BlockKeyHasher()(blockKey, searchRoot->getHash()); + if (oldHash != newHash) + { + TLLM_LOG_DEBUG("#%d block hash %zx -> %zx", block->getBlockId(), oldHash, newHash); + block->setHash(newHash); + } + searchRoot = block; + numBlocksStoredForReuse++; + } + if (pinBlocks) { - TLLM_LOG_DEBUG("#%d block hash %zx -> %zx", block->getBlockId(), oldHash, newHash); - block->setHash(newHash); + searchRoot->incRefCount(); + pinnedBlockIds.push_back(searchRoot->getBlockId()); } - searchRoot = block; - numBlocksStoredForReuse++; } - if (pinBlocks) + catch (std::out_of_range const& ex) { - searchRoot->incRefCount(); - pinnedBlockIds.push_back(searchRoot->getBlockId()); + TLLM_LOG_WARNING("Out of range access, terminating storeBlocks early."); + // Prevent blocks following an invalid block from being reused. + break; } } if (mEventManager) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 9274a4be38a3..3effbf10835a 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -248,7 +248,6 @@ accuracy/test_llm_api_pytorch.py::TestNemotronUltra::test_fp8_prequantized[tp8ep accuracy/test_llm_api_pytorch.py::TestNemotronUltra::test_fp8_prequantized[tp8-cuda_graph=True] SKIP (https://nvbugs/5707145) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto] SKIP (https://nvbugs/5596343) unittest/_torch/speculative/test_spec_gate.py::test_spec_gate_e2e SKIP (https://nvbugs/5710045) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=TRTLLM-mtp_nextn=0-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5721661) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4[moe_backend=CUTLASS-mtp_nextn=0-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5722629) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_2gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) @@ -263,12 +262,9 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_tr accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=True-attn_backend=FLASHINFER-torch_compile=True] SKIP (https://nvbugs/5741304) unittest/_torch/multi_gpu/test_allreduce.py::test_allreduce_fusion_patterns[2-residual_rms_norm_out_quant_fp8-hidden:7168-seqlen:8192] SKIP (https://nvbugs/5741392) unittest/executor/test_rpc.py::TestRpcCorrectness::test_incremental_task_async SKIP (https://nvbugs/5741476) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[pp4-fp8kv=True-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5740377) -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=False] SKIP (https://nvbugs/5740377) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) test_e2e.py::test_trtllm_serve_multimodal_example SKIP (https://nvbugs/5747920) triton_server/test_triton.py::test_opt[opt] SKIP (https://nvbugs/5739981) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus_online_eplb[fp8kv=True-moe_backend=TRTLLM] SKIP (https://nvbugs/5740377) cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-2proc-mpi_kvcache-90] SKIP (https://nvbugs/5755941) examples/test_granite.py::test_llm_granite[granite-3.0-1b-a400m-instruct-bfloat16] SKIP (https://nvbugs/5608979) examples/test_granite.py::test_llm_granite[granite-3.0-2b-instruct-bfloat16] SKIP (https://nvbugs/5608979) @@ -391,7 +387,6 @@ test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) accuracy/test_cli_flow.py::TestLlama2_7B::test_fp8 SKIP (https://nvbugs/5819452) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5819021) -accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_cutlass] SKIP (https://nvbugs/5740377) accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-DistributedTuningStrategy.INDEPENDENT] SKIP (https://nvbugs/5823194) From 8ecfc294f0031458515bd087705ffb1c25facf25 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 22 Jan 2026 04:36:39 +0000 Subject: [PATCH 034/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../cpp/kernels/fmha_v2/poetry.lock | 6 +- security_scanning/docs/poetry.lock | 29 +- .../examples/auto_deploy/poetry.lock | 273 +++++++++++---- .../examples/draft_target_model/poetry.lock | 105 +++++- security_scanning/examples/eagle/poetry.lock | 105 +++++- .../llm-eval/lm-eval-harness/poetry.lock | 265 ++++++++++---- .../examples/lookahead/poetry.lock | 105 +++++- security_scanning/examples/medusa/poetry.lock | 105 +++++- .../models/contrib/baichuan/poetry.lock | 105 +++++- .../examples/models/contrib/bloom/poetry.lock | 105 +++++- .../models/contrib/chatglm-6b/poetry.lock | 105 +++++- .../models/contrib/chatglm2-6b/poetry.lock | 105 +++++- .../contrib/chatglm3-6b-32k/poetry.lock | 105 +++++- .../examples/models/contrib/dbrx/poetry.lock | 105 +++++- .../models/contrib/deepseek_v1/poetry.lock | 105 +++++- .../models/contrib/deepseek_v2/poetry.lock | 105 +++++- .../models/contrib/falcon/poetry.lock | 105 +++++- .../examples/models/contrib/gptj/poetry.lock | 105 +++++- .../models/contrib/gptneox/poetry.lock | 105 +++++- .../examples/models/contrib/grok/poetry.lock | 113 +++++- .../models/contrib/hyperclovax/poetry.lock | 227 +++++++----- .../models/contrib/internlm/poetry.lock | 105 +++++- .../examples/models/contrib/jais/poetry.lock | 105 +++++- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 105 +++++- .../examples/models/contrib/opt/poetry.lock | 105 +++++- .../models/contrib/skywork/poetry.lock | 105 +++++- .../examples/models/contrib/smaug/poetry.lock | 105 +++++- .../examples/models/contrib/stdit/poetry.lock | 183 ++++++---- .../examples/models/core/commandr/poetry.lock | 105 +++++- .../examples/models/core/gemma/poetry.lock | 113 +++++- .../examples/models/core/glm-4-9b/poetry.lock | 105 +++++- .../examples/models/core/gpt/poetry.lock | 105 +++++- .../examples/models/core/llama/poetry.lock | 105 +++++- .../examples/models/core/mamba/poetry.lock | 105 +++++- .../examples/models/core/mixtral/poetry.lock | 167 ++++++--- .../examples/models/core/mllama/poetry.lock | 227 +++++++----- .../examples/models/core/nemotron/poetry.lock | 105 +++++- .../examples/models/core/phi/poetry.lock | 105 +++++- .../examples/models/core/qwen/poetry.lock | 14 +- .../models/core/qwen2audio/poetry.lock | 105 +++++- .../examples/models/core/qwenvl/poetry.lock | 328 +++++++++++++----- .../models/core/qwenvl/pyproject.toml | 2 +- .../models/core/recurrentgemma/poetry.lock | 113 +++++- .../examples/models/core/whisper/poetry.lock | 274 +++++++++++---- security_scanning/examples/ngram/poetry.lock | 105 +++++- .../examples/quantization/poetry.lock | 105 +++++- .../examples/ray_orchestrator/poetry.lock | 6 +- .../examples/redrafter/poetry.lock | 105 +++++- security_scanning/examples/serve/poetry.lock | 22 +- .../examples/trtllm-eval/poetry.lock | 265 ++++++++++---- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 123 ++++++- security_scanning/pyproject.toml | 2 - .../tests/integration/defs/perf/poetry.lock | 226 +----------- .../integration/defs/perf/pyproject.toml | 1 - security_scanning/triton_backend/poetry.lock | 159 +-------- .../triton_backend/pyproject.toml | 1 - 58 files changed, 5140 insertions(+), 1369 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index fc31d9a2d9a5..3a6517723f4d 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ b/security_scanning/cpp/kernels/fmha_v2/poetry.lock @@ -72,14 +72,14 @@ files = [ [[package]] name = "packaging" -version = "25.0" +version = "26.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, - {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, + {file = "packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529"}, + {file = "packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4"}, ] [[package]] diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index fcc5d5ef9716..8f85b88d0383 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -461,14 +461,14 @@ sphinx = ">=7.1" [[package]] name = "packaging" -version = "25.0" +version = "26.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, - {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, + {file = "packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529"}, + {file = "packaging-26.0.tar.gz", hash = "sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4"}, ] [[package]] @@ -733,14 +733,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "setuptools" -version = "80.9.0" +version = "80.10.1" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, - {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, + {file = "setuptools-80.10.1-py3-none-any.whl", hash = "sha256:fc30c51cbcb8199a219c12cc9c281b5925a4978d212f84229c909636d9f6984e"}, + {file = "setuptools-80.10.1.tar.gz", hash = "sha256:bf2e513eb8144c3298a3bd28ab1a5edb739131ec5c22e045ff93cd7f5319703a"}, ] [package.extras] @@ -749,7 +749,7 @@ core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functool cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", 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"sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, -] - [[package]] name = "tabulate" version = "0.9.0" @@ -1013,18 +874,6 @@ files = [ {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, ] -[[package]] -name = "tzdata" -version = "2025.3" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -groups = ["main"] -files = [ - {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"}, - {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"}, -] - [[package]] name = "urllib3" version = "2.6.3" @@ -1046,4 +895,4 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "702a7619285bc53a75a9c79940315253345d7534560cbaccffb311c076396ca0" +content-hash = "1db0ab46f385c62c6833155c11c292c540cb09e583497bba102ddcb4bfb601f8" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index 970622794afe..096c70c355ac 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -10,7 +10,6 @@ dependencies = [ "regex (>=2026.1.15,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", "transformers (==4.57.1)", - "pandas (>=2.3.3,<3.0.0)", "tabulate (>=0.9.0,<0.10.0)", "torchao (>=0.14.1)" ] From 42c2a41f7c6eb8409a2b7bfd09205dbfa6a6426e Mon Sep 17 00:00:00 2001 From: Zhenhuan Chen Date: Thu, 22 Jan 2026 12:52:27 +0800 Subject: [PATCH 035/241] [https://nvbugs/5769425][fix] add syncthreads for tinygemm to resolve intermittent accuracy problem (#10873) Signed-off-by: Zhenhuan Chen --- cpp/tensorrt_llm/kernels/quantization.cuh | 1 + cpp/tensorrt_llm/kernels/tinygemm2/tinygemm2_kernel.cuh | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/cpp/tensorrt_llm/kernels/quantization.cuh b/cpp/tensorrt_llm/kernels/quantization.cuh index 6589cc67d5ee..89b96b288b46 100644 --- a/cpp/tensorrt_llm/kernels/quantization.cuh +++ b/cpp/tensorrt_llm/kernels/quantization.cuh @@ -778,6 +778,7 @@ quantize_with_block_size( // Get the global scaling factor, which will be applied to the SF. // Note SFScale is the same as next GEMM's alpha, which is (448.f / (Alpha_A / 6.f)). + // This value is prepared by model, no need to be protected by ACKBULK float const SFScaleVal = SFScale == nullptr ? 1.0f : SFScale[0]; // Is it swizzled layout? diff --git a/cpp/tensorrt_llm/kernels/tinygemm2/tinygemm2_kernel.cuh b/cpp/tensorrt_llm/kernels/tinygemm2/tinygemm2_kernel.cuh index 7f60e787bf24..6c1d72c35353 100644 --- a/cpp/tensorrt_llm/kernels/tinygemm2/tinygemm2_kernel.cuh +++ b/cpp/tensorrt_llm/kernels/tinygemm2/tinygemm2_kernel.cuh @@ -410,6 +410,8 @@ __global__ __launch_bounds__(384, 1) void tinygemm_kernel(__nv_bfloat16* output, __syncthreads(); + cudaTriggerProgrammaticLaunchCompletion(); + if (warp_id == 0) { @@ -440,10 +442,8 @@ __global__ __launch_bounds__(384, 1) void tinygemm_kernel(__nv_bfloat16* output, if (PROFILE && blockIdx.y == 0 && threadIdx.x == 0) profile[blockIdx.x].complete = gclock64(); - - if (threadIdx.x == 0 && blockIdx.x == 0 && blockIdx.y == 0) - cudaTriggerProgrammaticLaunchCompletion(); } + __syncthreads(); } #endif // end if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900) } From 9488cbc19407d36b4f184c1667ae5ef3241fda19 Mon Sep 17 00:00:00 2001 From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> Date: Thu, 22 Jan 2026 13:08:14 +0800 Subject: [PATCH 036/241] [https://nvbugs/5821433][fix] fix test_auto_scaling for 2 GPUs (#10866) Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> --- tests/integration/defs/disaggregated/test_auto_scaling.py | 4 ++-- tests/integration/test_lists/waives.txt | 1 - 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/disaggregated/test_auto_scaling.py b/tests/integration/defs/disaggregated/test_auto_scaling.py index 1dd37a17a19b..0f31ce54c776 100644 --- a/tests/integration/defs/disaggregated/test_auto_scaling.py +++ b/tests/integration/defs/disaggregated/test_auto_scaling.py @@ -465,7 +465,7 @@ async def test_worker_restart(model_name, disagg_server_config, worker_config, worker_config, work_dir, port=0, - device=2) + device=0) await wait_for_disagg_server_status(disagg_port, 1, 1) await asyncio.sleep(CHECK_STATUS_INTERVAL) verify_cluster_info(True, 1, 1, port=disagg_port) @@ -487,7 +487,7 @@ async def test_worker_restart(model_name, disagg_server_config, worker_config, worker_config, work_dir, port=0, - device=3) + device=1) await wait_for_disagg_server_status(disagg_port, 1, 1) await asyncio.sleep(CHECK_STATUS_INTERVAL) verify_cluster_info(True, 1, 1, port=disagg_port) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 3effbf10835a..7ca962a8dc7c 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -331,7 +331,6 @@ unittest/_torch/modules/test_fused_moe.py::test_fused_moe_multi_gpu[1-CUTLASS] S accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5707359) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5701445) unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) -disaggregated/test_auto_scaling.py::test_worker_restart[etcd-round_robin] SKIP (https://nvbugs/5776445) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[two_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_fp8[latency-torch_compile=False] SKIP (https://nvbugs/5785206) From 8cc475c0f3e7d8a6cd3256a0132e69964844a14e Mon Sep 17 00:00:00 2001 From: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> Date: Thu, 22 Jan 2026 13:36:08 +0800 Subject: [PATCH 037/241] [https://nvbugs/5779536][fix] Unwaive Llama 3.3 related multi GPU tests (#10855) Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 2 -- 1 file changed, 2 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 7ca962a8dc7c..fc6f9de86a5b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -309,8 +309,6 @@ accuracy/test_cli_flow.py::TestVicuna7B::test_eagle_2[cuda_graph=True-chunked_co accuracy/test_disaggregated_serving.py::TestGPTOSS::test_auto_dtype[True] SKIP (https://nvbugs/5596343) accuracy/test_disaggregated_serving.py::TestGPTOSS::test_auto_dtype[False] SKIP (https://nvbugs/5596343) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=False-torch_compile=True] SKIP (https://nvbugs/5775326) -accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_nvfp4_tp4[torch_compile=False] SKIP (https://nvbugs/5794796) -accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_tp4[torch_compile=False] SKIP (https://nvbugs/5794796) accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[throughput_latency] SKIP (https://nvbugs/5775544) triton_server/test_triton.py::test_llava_onevision[llava_onevision] SKIP (https://nvbugs/5775205) triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5775223) From 7539452748db452f213c184f6dec5572cbfe2afd Mon Sep 17 00:00:00 2001 From: William Zhang <133824995+2ez4bz@users.noreply.github.com> Date: Wed, 21 Jan 2026 22:46:15 -0800 Subject: [PATCH 038/241] [https://nvbugs/5826962][fix] Fix PD disaggregation for VLMs that use mrope (#10865) * Why? Commit a6a8898 enabled EPD disaggregation for VLMs that use mrope (e.g. qwen). However, this broke PD disaggregation for these sames models. * What? This commit fixes this, and adds a unit test that guards against it. Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com> --- tensorrt_llm/llmapi/llm.py | 17 ++++++ .../multimodal/test_mm_encoder_standalone.py | 55 ++++++++++++++++++- 2 files changed, 71 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/llmapi/llm.py b/tensorrt_llm/llmapi/llm.py index 71d34af1a647..7bf0c030b65e 100644 --- a/tensorrt_llm/llmapi/llm.py +++ b/tensorrt_llm/llmapi/llm.py @@ -513,6 +513,23 @@ def generate_async( else: # Convert to shared tensor handle to reduce IPC overhead multimodal_params.to_handle("multimodal_data") + if (disaggregated_params is not None) and ( + "mrope_config" + in multimodal_params.multimodal_data): + # Propagate mRoPE handles during context-only P -> D so decode-only + # can rebuild mrope_config without raw multimodal inputs. + mrope_config = multimodal_params.multimodal_data[ + "mrope_config"] + mrope_position_ids = mrope_config.get( + "mrope_position_ids") + mrope_position_deltas = mrope_config.get( + "mrope_position_deltas") + if (mrope_position_ids is not None + and mrope_position_deltas is not None): + disaggregated_params.mrope_position_ids_handle = ( + mrope_position_ids) + disaggregated_params.mrope_position_deltas_handle = ( + mrope_position_deltas) else: raise TypeError( f"The inputs must be type str or list of int, but got {type(inputs)}" diff --git a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py index aa5c6c5434dc..2ba776e97166 100644 --- a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py +++ b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py @@ -12,7 +12,8 @@ from tensorrt_llm import MultimodalEncoder from tensorrt_llm._torch.shared_tensor import SharedTensorContainer from tensorrt_llm.inputs import default_multimodal_input_loader -from tensorrt_llm.llmapi import CacheTransceiverConfig, KvCacheConfig +from tensorrt_llm.llmapi import (CacheTransceiverConfig, DisaggregatedParams, + KvCacheConfig) from tensorrt_llm.llmapi.llm import LLM, SamplingParams test_data_root = Path( @@ -283,6 +284,58 @@ def test_single_image_chat( f"Log probabilities don't match for output {i}, generation {j}" +@pytest.mark.parametrize("model_dir", [_QWEN_3_VL_DIR], indirect=True) +@pytest.mark.parametrize("pd_disagg", [True], indirect=True) +@pytest.mark.threadleak(enabled=False) +def test_pd_disagg_with_image_input( + model_dir: Path, + pd_disagg: bool, + llms: tuple[LLM, LLM | None], +): + """Test P/D disagg with image input.""" + llm, llm_decode = llms + assert llm_decode is not None, "Disaggregated decode worker required." + + prompts = ["Describe the image."] + media = [example_images[-1]] + sampling_params = SamplingParams(max_tokens=32, temperature=0) + + # Reference outputs: use desired `max_tokens`. + inputs = _load_inputs(llm, prompts, media) + outputs_ref = llm.generate(inputs, sampling_params=sampling_params) + assert outputs_ref is not None and len(outputs_ref) == len(prompts) + + # Prefill: `max_tokens=0`. + prefill_disagg_params = DisaggregatedParams(request_type="context_only") + outputs = llm.generate(inputs, + sampling_params=SamplingParams(max_tokens=0, + temperature=0), + disaggregated_params=prefill_disagg_params) + assert len(outputs) == 1 + pd_disaggregated_params = outputs[0].disaggregated_params + pd_disaggregated_params.request_type = "generation_only" + + # Decode: use desired `max_tokens`. + decode_inputs = [{ + "prompt": inputs[0]["prompt"], + "multi_modal_data": None, + "prompt_token_ids": outputs[0].prompt_token_ids, + }] + outputs_pd = llm_decode.generate( + decode_inputs, + sampling_params=sampling_params, + disaggregated_params=pd_disaggregated_params) + + assert len(outputs_pd) == len(prompts) + for i, (ref_output, test_output) in enumerate(zip(outputs_ref, outputs_pd)): + assert len(ref_output.outputs) == len(test_output.outputs), \ + f"Number of generated outputs don't match for output {i}: {len(ref_output.outputs)} vs {len(test_output.outputs)}" + for j, (ref_gen, test_gen) in enumerate( + zip(ref_output.outputs, test_output.outputs)): + assert ref_gen.text == test_gen.text, \ + f"Generated text doesn't match for output {i}, generation {j}:\nReference: {ref_gen.text!r}\nTest: {test_gen.text!r}" + + @pytest.mark.parametrize("use_mm_embeddings,pass_embeddings_through_loader", product([False, True], [False, True])) @pytest.mark.threadleak(enabled=False) From b7011a8d0a0a0ce4591186bb0656976c3bf9559f Mon Sep 17 00:00:00 2001 From: Michal Guzek Date: Wed, 21 Jan 2026 23:59:18 -0800 Subject: [PATCH 039/241] [https://nvbugs/5691730][fix] Have LoRa bf16 ckpts work with Llama 3.3-70B-fp8 (#9808) Signed-off-by: Michal Guzek Signed-off-by: Michal Guzek Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com> Co-authored-by: Jin Li <59594262+liji-nv@users.noreply.github.com> --- tensorrt_llm/_torch/models/modeling_llama.py | 31 +++++++++++---- tensorrt_llm/_torch/modules/attention.py | 11 ++++-- tests/unittest/llmapi/test_llm_pytorch.py | 40 +++++++++++++++++++- 3 files changed, 70 insertions(+), 12 deletions(-) diff --git a/tensorrt_llm/_torch/models/modeling_llama.py b/tensorrt_llm/_torch/models/modeling_llama.py index e4a57c3fc78b..831cb42d95ea 100644 --- a/tensorrt_llm/_torch/models/modeling_llama.py +++ b/tensorrt_llm/_torch/models/modeling_llama.py @@ -778,21 +778,32 @@ def forward( ) # Fully Connected if self.PRE_MLP_FUSION: + has_lora = bool(kwargs.get('lora_params')) + if self.is_nvfp4 or self.is_fp8_quant: - scale = self.mlp.gate_up_proj.input_scale + # WAR: Skip FP8/NVFP4 quantization when LoRA is active + # since LoRA grouped_gemm does not support FP8 yet + # see: cpp/tensorrt_llm/thop/loraOp.cpp::lora_grouped_gemm + if has_lora: + scale = None # To prevent quantization + fusion_op = AllReduceFusionOp.RESIDUAL_RMS_NORM # Use non-quantizing fusion + else: + scale = self.mlp.gate_up_proj.input_scale + fusion_op = self.pre_mlp_fusion_op else: scale = None + fusion_op = self.pre_mlp_fusion_op all_reduce_output = self.all_reduce( hidden_states, all_reduce_params=AllReduceParams( - fusion_op=self.pre_mlp_fusion_op, + fusion_op=fusion_op, residual=residual, norm_weight=self.post_attention_layernorm.weight, scale=scale, eps=self.post_attention_layernorm.variance_epsilon, )) - if self.is_nvfp4: + if fusion_op == AllReduceFusionOp.RESIDUAL_RMS_NORM_QUANT_NVFP4: act_fp4, act_sf, residual = all_reduce_output hidden_states = Fp4QuantizedTensor(act_fp4, act_sf) else: @@ -841,24 +852,30 @@ def forward( # The next layernorm exists but it could be the last decoder layer. # Adjust the scale and fusion pattern. + has_lora = bool(kwargs.get('lora_params')) + + # WAR: Skip FP8/NVFP4 quantization when LoRA is active + # since LoRA grouped_gemm does not support FP8 yet if not (self.next_attn is not None and (self.is_nvfp4 or self.is_fp8_quant)) \ - or not hasattr(self.next_attn.qkv_proj, 'input_scale'): + or not hasattr(self.next_attn.qkv_proj, 'input_scale') \ + or has_lora: scale = None - self.post_mlp_fusion_op = AllReduceFusionOp.RESIDUAL_RMS_NORM + post_fusion_op = AllReduceFusionOp.RESIDUAL_RMS_NORM else: scale = self.next_attn.qkv_proj.input_scale + post_fusion_op = self.post_mlp_fusion_op all_reduce_output = self.all_reduce( hidden_states, all_reduce_params=AllReduceParams( - fusion_op=self.post_mlp_fusion_op, + fusion_op=post_fusion_op, residual=residual, norm_weight=self.next_layer_layernorm.weight, scale=scale, eps=self.next_layer_layernorm.variance_epsilon, )) - if self.post_mlp_fusion_op == AllReduceFusionOp.RESIDUAL_RMS_NORM_QUANT_NVFP4: + if post_fusion_op == AllReduceFusionOp.RESIDUAL_RMS_NORM_QUANT_NVFP4: act_fp4, act_sf, residual = all_reduce_output hidden_states = Fp4QuantizedTensor(act_fp4, act_sf) else: diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py index 69ae313713ad..4ca80912af12 100644 --- a/tensorrt_llm/_torch/modules/attention.py +++ b/tensorrt_llm/_torch/modules/attention.py @@ -436,6 +436,7 @@ def _attn_impl( output: Optional[torch.Tensor] = None, output_sf: Optional[torch.Tensor] = None, attention_sinks: Optional[torch.Tensor] = None, + has_lora: bool = False, ): num_tokens = attn_metadata.num_tokens @@ -449,7 +450,8 @@ def _attn_impl( out_scale_sf = None # Don't set out_scale if o_proj has pre_quant_scale - this prevents FP8/FP4 output # and keeps attention output in BF16 for better precision when applying pre_quant_scale - if self._use_quantize_output(): + # Also don't set out_scale if LoRA is active - LoRA grouped_gemm doesn't support FP8 + if self._use_quantize_output() and not has_lora: out_scale = self.o_proj.inv_input_scale out_scale_sf = self.o_proj.input_scale @@ -502,6 +504,7 @@ def forward_impl( attention_mask_data: Optional[torch.Tensor], mrope_config: Optional[dict], attention_sinks: Optional[torch.Tensor] = None, + has_lora: bool = False, ): mrope_rotary_cos_sin = None mrope_position_deltas = None @@ -547,7 +550,8 @@ def forward_impl( mrope_position_deltas, attention_window_size, attention_mask_data, - attention_sinks=attention_sinks) + attention_sinks=attention_sinks, + has_lora=has_lora) if output_sf is not None: output = Fp4QuantizedTensor(output, output_sf) @@ -622,7 +626,8 @@ def forward( attention_window_size, attention_mask_data, mrope_config=mrope_config, - attention_sinks=attention_sinks) + attention_sinks=attention_sinks, + has_lora=bool(lora_params)) if self.attn_output_gate: gate = torch.sigmoid(gate) diff --git a/tests/unittest/llmapi/test_llm_pytorch.py b/tests/unittest/llmapi/test_llm_pytorch.py index 86f48d31266e..e0fcc96497ae 100644 --- a/tests/unittest/llmapi/test_llm_pytorch.py +++ b/tests/unittest/llmapi/test_llm_pytorch.py @@ -29,8 +29,8 @@ prompts, run_llm_abort_request, run_llm_with_postprocess_parallel_and_result_handler, tinyllama_logits_processor_test_harness) -from utils.util import (force_ampere, similar, skip_fp8_pre_ada, - skip_gpu_memory_less_than_40gb, +from utils.util import (force_ampere, similar, similarity_score, + skip_fp8_pre_ada, skip_gpu_memory_less_than_40gb, skip_gpu_memory_less_than_80gb, skip_gpu_memory_less_than_138gb, skip_ray) from utils.llm_data import llm_models_root @@ -568,6 +568,42 @@ def test_llama_3_1_8b_fp8_with_bf16_lora() -> None: assert similar(output.outputs[0].text, reference) +@skip_ray # https://nvbugs/5682551 +@skip_gpu_memory_less_than_80gb +def test_llama_3_3_70b_fp8_with_squad_lora_tp2() -> None: + skip_fp8_pre_ada(use_fp8=True) + + model_dir = f"{llm_models_root()}/llama-3.3-models/Llama-3.3-70B-Instruct-FP8" + lora_dir = f"{llm_models_root()}/llama-3.3-models/Llama-3.3-70B-Instruct-FP8-lora-adapter_NIM_r8" + + prompt = "What is the capital of the United States?" + expected_output = " Washington, D.C.\nWhat is the capital of the United States? Washington, D.C." + + lora_config = LoraConfig(lora_dir=[lora_dir], + max_lora_rank=8, + max_loras=2, + max_cpu_loras=2) + lora_req = LoRARequest("squad-lora", 0, lora_dir) + + llm = LLM(model_dir, + tensor_parallel_size=2, + lora_config=lora_config, + cuda_graph_config=None) + + try: + output = llm.generate(prompt, + SamplingParams(max_tokens=50, temperature=0.0), + lora_request=[lora_req]) + generated_text = output.outputs[0].text + print(f"Generated output: {repr(generated_text)}") + + similarity = similarity_score(generated_text, expected_output) + assert similar(generated_text, expected_output, threshold=0.8), \ + f"Output similarity too low (similarity={similarity:.2%})!\nExpected: {repr(expected_output)}\nGot: {repr(generated_text)}" + finally: + llm.shutdown() + + @skip_gpu_memory_less_than_80gb @pytest.mark.part2 def test_bielik_11b_v2_2_instruct_multi_lora() -> None: From d36bd45d5a18de14dc5c55001e80ef1038d25f02 Mon Sep 17 00:00:00 2001 From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> Date: Thu, 22 Jan 2026 18:44:56 +0800 Subject: [PATCH 040/241] [https://nvbugs/5814409][fix] fix pp loop hang because of i-sending new requests, cherry-pick 10665 (#10817) Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> --- .../_torch/pyexecutor/executor_request_queue.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/_torch/pyexecutor/executor_request_queue.py b/tensorrt_llm/_torch/pyexecutor/executor_request_queue.py index cb421865200f..080a615e75e4 100644 --- a/tensorrt_llm/_torch/pyexecutor/executor_request_queue.py +++ b/tensorrt_llm/_torch/pyexecutor/executor_request_queue.py @@ -1,6 +1,7 @@ import dataclasses import datetime import heapq +import os import queue import threading import time @@ -611,12 +612,20 @@ def _broadcast_new_requests( with nvtx_range("recv_requests_from_prev_pp"): payloads = self.dist.recv_object(self.dist.prev_pp_rank, tag) + # isend new requests may cause deadlock, when CUDA_LAUNCH_BLOCKING=1 or PP microbatches can't overlap, + # the deadlock will happen deterministicly: + # 1. rank1 will wait on nccl.send(rank2), without invoking mpi.wait(isend-handle) + # 2. rank2 will wait on mpi.recv(rank1) but never receive the new requests. + # 3. rank1 will hang on nccl.send because rank2 will never reach nccl.recv(rank1). + pp_send_func = self.dist.isend_object if os.environ.get( + "TRTLLM_PP_REQ_SEND_ASYNC", "0") == "1" else self.dist.send_object + if not self.dist.is_last_pp_rank: if self.send_requests_handler is not None: with nvtx_range("wait_prev_send_requests_handler"): self.send_requests_handler.wait() with nvtx_range("send_requests_to_next_pp"): - self.send_requests_handler = self.dist.isend_object( + self.send_requests_handler = pp_send_func( payloads, self.dist.next_pp_rank, tag) return payloads From 40a8b2a382603b3d0354b9145fa0b42adcf3f811 Mon Sep 17 00:00:00 2001 From: Enwei Zhu <21126786+syuoni@users.noreply.github.com> Date: Thu, 22 Jan 2026 21:15:19 +0800 Subject: [PATCH 041/241] [None][fix] Always reset drafting states for GuidedDecoder (#10899) Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/guided_decoder.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py index 01386e55e512..610d4e1d1d8a 100644 --- a/tensorrt_llm/_torch/pyexecutor/guided_decoder.py +++ b/tensorrt_llm/_torch/pyexecutor/guided_decoder.py @@ -276,6 +276,7 @@ def _build(self, requests: GuidedRequests) -> List[Tuple[int, str]]: assert len(req.draft_tokens) == 0 self.num_advanced_draft_tokens[ slot] += self.num_advanced_tokens[slot] + except Exception as e: error_msg = f"Guided decoding error: {str(e)}" failed_requests.append((req.request_id, error_msg)) @@ -406,10 +407,9 @@ def _rollback_draft_tokens(self, requests: GuidedRequests) -> None: for req in requests.valid_requests(): slot = req.seq_slot - if self.num_advanced_draft_tokens[slot] <= 0: - continue - self.grammar_matchers[slot].rollback( - self.num_advanced_draft_tokens[slot]) + if self.num_advanced_draft_tokens[slot] > 0: + self.grammar_matchers[slot].rollback( + self.num_advanced_draft_tokens[slot]) # Reset the drafting states. self.num_advanced_draft_tokens[slot] = 0 self.is_draft_terminated[slot] = False From 64337642f094a403e2629eac91c727b7379b189a Mon Sep 17 00:00:00 2001 From: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> Date: Thu, 22 Jan 2026 17:11:45 -0500 Subject: [PATCH 042/241] [https://nvbugs/5814247][fix] AutoDeploy: skip mxfp4_moe test unless on Hopper (#10729) (#10850) Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com> Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> Co-authored-by: Frida Hou <201670829+Fridah-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 3 --- .../unit/multigpu/custom_ops/test_mxfp4_moe_ep.py | 5 +++++ 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index fc6f9de86a5b..4e3e04488594 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -375,9 +375,6 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mt accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) accuracy/test_llm_api_pytorch.py::TestNemotronV3Super::test_auto_dtype_4gpus[4-4-True-False-True] SKIP (https://nvbugs/5810980) examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://nvbugs/5781731) -unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-6] SKIP (https://nvbugs/5814247) -unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py::test_mxfp4_mlp_ep_dtypes[1-4-8] SKIP (https://nvbugs/5814247) -unittest/_torch/auto_deploy/unit/multigpu/test_ad_allreduce_strategies.py::test_allreduce_strategies[AUTO] SKIP (https://nvbugs/5814247) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKIP (https://nvbugs/5651865) test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) diff --git a/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py b/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py index 211053a299ce..a3e9b3254cd6 100644 --- a/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py +++ b/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py @@ -4,6 +4,7 @@ import torch import torch.distributed as dist from _dist_test_utils import get_device_counts +from utils.util import getSMVersion from tensorrt_llm._torch.auto_deploy.custom_ops.fused_moe.mxfp4_moe import ( IS_TRITON_KERNELS_AVAILABLE, @@ -109,6 +110,10 @@ def _rand_scales(shape): torch.testing.assert_close(part_out, ref_out, rtol=5e-2, atol=5e-2, equal_nan=True) +@pytest.mark.skipif( + getSMVersion() != 90, + reason="triton_mxfp4_moe is only supported in Hopper architecture", +) @pytest.mark.skipif( not IS_TRITON_KERNELS_AVAILABLE, reason="triton_kernels unavailable", From 13103af33842a69de2317bffdf754f89545f7077 Mon Sep 17 00:00:00 2001 From: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> Date: Thu, 22 Jan 2026 18:05:38 -0500 Subject: [PATCH 043/241] [https://nvbugs/5769712][fix] fix timeout in AutoDeploy llama accuracy test (#10461) (#10851) Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> --- tests/integration/defs/accuracy/test_llm_api_autodeploy.py | 2 +- tests/integration/test_lists/waives.txt | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/integration/defs/accuracy/test_llm_api_autodeploy.py b/tests/integration/defs/accuracy/test_llm_api_autodeploy.py index f189417926f4..e823d053a790 100644 --- a/tests/integration/defs/accuracy/test_llm_api_autodeploy.py +++ b/tests/integration/defs/accuracy/test_llm_api_autodeploy.py @@ -44,7 +44,7 @@ def get_default_kwargs(self, enable_chunked_prefill=False): }, "compile_model": { "backend": - "torch-opt", + "torch-cudagraph", "cuda_graph_batch_sizes": [1, 2, 4, 8, 16, 32, 64, 128, 256, 512], }, diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 4e3e04488594..a7c7f9658a8b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -230,7 +230,6 @@ full:H100_PCIe/unittest/llmapi/test_llm_pytorch.py::test_llama_7b_multi_lora_evi unittest/_torch/speculative/test_draft_len_schedule.py::test_correctness_across_batch_sizes[model_drafter-schedule1] SKIP (https://nvbugs/5680911) accuracy/test_llm_api_pytorch.py::TestSeedOss_36B::test_auto_dtype SKIP (https://nvbugs/5612438) accuracy/test_llm_api_autodeploy.py::TestNemotronH::test_auto_dtype[True] SKIP (https://nvbugs/5688721) -accuracy/test_llm_api_autodeploy.py::TestLlama3_1_8B::test_auto_dtype[False-4] SKIP (https://nvbugs/5769712) test_e2e.py::test_openai_completions_example[trt] SKIP (https://nvbugs/5701450) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5701457) triton_server/test_triton_llm.py::test_llmapi_backend[4-0-disableDecoupleMode-tensorrt_llm] SKIP (https://nvbugs/5701480) From 7f11072c72623937aa31a28e7766f4d9c927dc2a Mon Sep 17 00:00:00 2001 From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> Date: Fri, 23 Jan 2026 09:41:43 +0800 Subject: [PATCH 044/241] [https://nvbugs/5784543][chore] unwaive test. (#10906) Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index a7c7f9658a8b..a30eb34d97ed 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -324,7 +324,6 @@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symm accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_eagle3[eagle3_one_model=False-overlap_scheduler=False] SKIP (https://nvbugs/5807902) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_guided_decoding_4gpus[llguidance] SKIP (https://nvbugs/5756008) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp2pp2-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5784526) -unittest/_torch/modules/test_fused_moe.py::test_fused_moe_multi_gpu[1-CUTLASS] SKIP (https://nvbugs/5784543) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5707359) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5701445) unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) From 8cf294a5df3544ac9525d141b7154ed620116500 Mon Sep 17 00:00:00 2001 From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> Date: Fri, 23 Jan 2026 10:19:22 +0800 Subject: [PATCH 045/241] [https://nvbugs/5701445][chore] unwaive tests. (#10913) Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index a30eb34d97ed..1de02a742dd2 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -285,7 +285,6 @@ unittest/_torch/multi_gpu/test_mnnvl_allreduce.py::test_row_linear_residual_norm triton_server/test_triton.py::test_gpt_speculative_decoding[gpt-speculative-decoding] SKIP (https://nvbugs/5762854) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8B_Instruct_RocketKV::test_auto_dtype SKIP (https://nvbugs/5762822) unittest/_torch/sampler/test_return_logits.py SKIP (https://nvbugs/5764627) -full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp2pp2-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugspro.nvidia.com/bug/5794313) examples/test_ray.py::test_ray_disaggregated_serving[tp2] SKIP (https://nvbugs/5612502) unittest/executor/test_rpc_proxy.py SKIP (https://nvbugs/5605741) unittest/executor/test_rpc_worker.py SKIP (https://nvbugs/5605741) @@ -314,7 +313,6 @@ triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5 unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl_multi_gpu[MoEWeightLoadingMode.FUSED_GATE_UP_PROJ-DefaultMoeRoutingMethod-1] SKIP (https://nvbugs/5775256) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-3.1-8b-instruct-hf-fp8] SKIP (https://nvbugs/5769890) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[DeepSeek-V3-Lite-bf16] SKIP (https://nvbugs/5769890) -disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-v3-8b-hf] SKIP (https://nvbugs/5769890,https://nvbugs/5748683) accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_pp4_mtp] SKIP (https://nvbugs/5779536) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) @@ -325,7 +323,6 @@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_eagle3[eag accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_guided_decoding_4gpus[llguidance] SKIP (https://nvbugs/5756008) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp2pp2-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5784526) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5707359) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5701445) unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[two_model] SKIP (https://nvbugs/5756028) From e1d61d13adba1a978baef8c64fa545600d123472 Mon Sep 17 00:00:00 2001 From: Enwei Zhu <21126786+syuoni@users.noreply.github.com> Date: Fri, 23 Jan 2026 10:30:43 +0800 Subject: [PATCH 046/241] [https://nvbugs/5748600][ci] Update guided decoding waive list (#10904) Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 1de02a742dd2..09611ae40e79 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -250,8 +250,10 @@ unittest/_torch/speculative/test_spec_gate.py::test_spec_gate_e2e SKIP (https:// accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4[moe_backend=CUTLASS-mtp_nextn=0-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5722629) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_2gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=2] SKIP (https://nvbugs/5740075) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=2] SKIP (https://nvbugs/5740075) +full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=0] SKIP (https://nvbugs/5748600) +full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=2] SKIP (https://nvbugs/5748600) +full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] SKIP (https://nvbugs/5748600) +full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=2] SKIP (https://nvbugs/5748600) unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_llm_api[False] SKIP (https://nvbugs/5739981) unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_llm_api[True] SKIP (https://nvbugs/5739981) unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_serve[True] SKIP (https://nvbugs/5739981) @@ -320,7 +322,6 @@ cpp/test_e2e.py::test_model[-mamba-86] SKIP (https://nvbugs/5781665) unittest/llmapi/test_llm_multi_gpu_pytorch.py::test_tinyllama_logits_processor_tp2pp2 SKIP (https://nvbugs/5781731) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[GSM8K-tp2pp2] SKIP (https://nvbugs/5756008) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_eagle3[eagle3_one_model=False-overlap_scheduler=False] SKIP (https://nvbugs/5807902) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_guided_decoding_4gpus[llguidance] SKIP (https://nvbugs/5756008) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp2pp2-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5784526) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5707359) unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) @@ -379,7 +380,5 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-DistributedTuningStrategy.INDEPENDENT] SKIP (https://nvbugs/5823194) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=0] SKIP (https://nvbugs/5748600) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] SKIP (https://nvbugs/5748600) accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5748664) perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwell-r1_fp4_v2_tep4_mtp3_8k1k] SKIP (https://nvbugs/5819053) From 00856de31c02ec699314b44605bad1b3c63d799f Mon Sep 17 00:00:00 2001 From: bhsueh_NV <11360707+byshiue@users.noreply.github.com> Date: Fri, 23 Jan 2026 10:41:11 +0800 Subject: [PATCH 047/241] [https://nvbugs/5819021][fix] unwaive some tests (#10836) Signed-off-by: bhsueh <11360707+byshiue@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 09611ae40e79..7e842d5ca213 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -327,7 +327,6 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp unittest/_torch/ray_orchestrator/multi_gpu/test_multi_instance.py::test_multi_instance[tp2_2instances] SKIP (https://nvbugs/5784566) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[two_model] SKIP (https://nvbugs/5756028) -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_fp8[latency-torch_compile=False] SKIP (https://nvbugs/5785206) accuracy/test_llm_api_pytorch.py::TestLlama3_2_1B::test_fp8_prequantized SKIP (https://nvbugs/5785465) accuracy/test_llm_api_pytorch.py::TestMinistral8BInstruct::test_fp8 SKIP (https://nvbugs/5785485) accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp1tp2cp2] SKIP (https://nvbugs/5787836) @@ -360,7 +359,6 @@ accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (h accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[one_model] SKIP (https://nvbugs/5596343) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[two_model] SKIP (https://nvbugs/5596343) accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[True] SKIP (https://nvbugs/5799901) -accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm_eagle] SKIP (https://nvbugs/5804683) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-no_overlap_scheduler] SKIP (https://nvbugs/5809169) accuracy/test_llm_api_pytorch_multimodal.py::TestGemma3_27BInstruct::test_fp8_prequantized SKIP (https://nvbugs/5811087) test_e2e.py::test_ptp_quickstart_advanced[Qwen3-30B-A3B-Qwen3/Qwen3-30B-A3B] SKIP (https://nvbugs/5810935) @@ -376,7 +374,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKI test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) accuracy/test_cli_flow.py::TestLlama2_7B::test_fp8 SKIP (https://nvbugs/5819452) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5819021) accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-DistributedTuningStrategy.INDEPENDENT] SKIP (https://nvbugs/5823194) From 4689f83e5edd1289882244388f523d55482c3094 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 23 Jan 2026 04:34:28 +0000 Subject: [PATCH 048/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +-- .../examples/auto_deploy/poetry.lock | 6 +-- .../examples/draft_target_model/poetry.lock | 6 +-- security_scanning/examples/eagle/poetry.lock | 6 +-- .../examples/lookahead/poetry.lock | 6 +-- security_scanning/examples/medusa/poetry.lock | 6 +-- .../models/contrib/baichuan/poetry.lock | 6 +-- .../examples/models/contrib/bloom/poetry.lock | 6 +-- .../models/contrib/chatglm-6b/poetry.lock | 6 +-- .../models/contrib/chatglm2-6b/poetry.lock | 6 +-- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +-- .../examples/models/contrib/dbrx/poetry.lock | 6 +-- .../models/contrib/deepseek_v1/poetry.lock | 6 +-- .../models/contrib/deepseek_v2/poetry.lock | 6 +-- .../examples/models/contrib/gptj/poetry.lock | 6 +-- .../models/contrib/gptneox/poetry.lock | 6 +-- .../examples/models/contrib/grok/poetry.lock | 6 +-- .../models/contrib/hyperclovax/poetry.lock | 6 +-- .../models/contrib/internlm/poetry.lock | 6 +-- .../examples/models/contrib/jais/poetry.lock | 6 +-- .../examples/models/contrib/mpt/poetry.lock | 6 +-- .../examples/models/contrib/opt/poetry.lock | 6 +-- .../models/contrib/skywork/poetry.lock | 6 +-- .../examples/models/contrib/smaug/poetry.lock | 6 +-- .../examples/models/contrib/stdit/poetry.lock | 6 +-- .../examples/models/core/commandr/poetry.lock | 6 +-- .../examples/models/core/gemma/poetry.lock | 6 +-- .../examples/models/core/glm-4-9b/poetry.lock | 6 +-- .../examples/models/core/gpt/poetry.lock | 6 +-- .../examples/models/core/nemotron/poetry.lock | 6 +-- .../examples/models/core/phi/poetry.lock | 6 +-- .../examples/models/core/qwen/poetry.lock | 40 +++++++++---------- .../examples/models/core/qwenvl/poetry.lock | 6 +-- security_scanning/examples/ngram/poetry.lock | 6 +-- .../examples/quantization/poetry.lock | 6 +-- .../examples/redrafter/poetry.lock | 6 +-- security_scanning/metadata.json | 4 +- 37 files changed, 127 insertions(+), 127 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 8f85b88d0383..411283c8b040 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -1100,14 +1100,14 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "wheel" -version = "0.46.2" +version = "0.46.3" description = "Command line tool for manipulating wheel files" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "wheel-0.46.2-py3-none-any.whl", hash = "sha256:33ae60725d69eaa249bc1982e739943c23b34b58d51f1cb6253453773aca6e65"}, - {file = "wheel-0.46.2.tar.gz", hash = "sha256:3d79e48fde9847618a5a181f3cc35764c349c752e2fe911e65fa17faab9809b0"}, + {file = "wheel-0.46.3-py3-none-any.whl", hash = "sha256:4b399d56c9d9338230118d705d9737a2a468ccca63d5e813e2a4fc7815d8bc4d"}, + {file = "wheel-0.46.3.tar.gz", hash = "sha256:e3e79874b07d776c40bd6033f8ddf76a7dad46a7b8aa1b2787a83083519a1803"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 8be389501d86..4342691eb75d 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -4167,14 +4167,14 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.3.0" +version = "0.3.1" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.3.0-py3-none-any.whl", hash = "sha256:073a1acb250e4add96cfd5ef84e0036605cd6e0d0782c8c15c80e42202348458"}, - {file = "wcwidth-0.3.0.tar.gz", hash = "sha256:af1a2fb0b83ef4a7fc0682a4c95ca2576e14d0280bca2a9e67b7dc9f2733e123"}, + {file = "wcwidth-0.3.1-py3-none-any.whl", hash = "sha256:b2d355df3ec5d51bfc973a22fb4ea9a03b12fdcbf00d0abd22a2c78b12ccc177"}, + {file = "wcwidth-0.3.1.tar.gz", hash = "sha256:5aedb626a9c0d941b990cfebda848d538d45c9493a3384d080aff809143bd3be"}, ] [[package]] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index f22d9294aac2..50e8827778fb 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index b05d794d0011..71263c117dbb 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index f22d9294aac2..50e8827778fb 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index f22d9294aac2..50e8827778fb 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index b9f37294438a..9931522826f0 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -808,14 +808,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index c16bba95f229..2a78ece64dcf 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index dd5dbecd813f..a366f3930280 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index dd5dbecd813f..a366f3930280 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index dd5dbecd813f..a366f3930280 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index e33b5461174c..165fbd7e5288 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = 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python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index b33ea7e670a2..ad6670624265 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index b53b740a9e76..84133c7024ce 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 2634f86c4f7f..a2d0d64df603 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = 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python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index f22d9294aac2..50e8827778fb 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index c16bba95f229..2a78ece64dcf 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index b53b740a9e76..84133c7024ce 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index b53b740a9e76..84133c7024ce 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = 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= "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index c16bba95f229..2a78ece64dcf 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index bdcf05397d08..69b7be68782d 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2384,14 +2384,14 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "wcwidth" -version = "0.3.0" +version = "0.3.1" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.3.0-py3-none-any.whl", hash = "sha256:073a1acb250e4add96cfd5ef84e0036605cd6e0d0782c8c15c80e42202348458"}, - {file = "wcwidth-0.3.0.tar.gz", hash = "sha256:af1a2fb0b83ef4a7fc0682a4c95ca2576e14d0280bca2a9e67b7dc9f2733e123"}, + {file = "wcwidth-0.3.1-py3-none-any.whl", hash = "sha256:b2d355df3ec5d51bfc973a22fb4ea9a03b12fdcbf00d0abd22a2c78b12ccc177"}, + {file = "wcwidth-0.3.1.tar.gz", hash = "sha256:5aedb626a9c0d941b990cfebda848d538d45c9493a3384d080aff809143bd3be"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index b53b740a9e76..84133c7024ce 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = 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the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index fd7da4c495f5..b88a36a72931 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -761,14 +761,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index f22d9294aac2..50e8827778fb 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.2" +version = "1.3.3" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.2-py3-none-any.whl", hash = "sha256:b552b9562a5532102a041fa31a6966bb9de95138fc7aa578bb3703198c25d1b6"}, - {file = "huggingface_hub-1.3.2.tar.gz", hash = "sha256:15d7902e154f04174a0816d1e9594adcf15cdad57596920a5dc70fadb5d896c7"}, + {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, + {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 136f6e07a4b5..a82c4284bcb0 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "0362a423b3bf38f86f595bbbf5248faec6a32757", - "timestamp": "2026-01-22T04:01:10Z" + "commit_hash": "00856de31c02ec699314b44605bad1b3c63d799f", + "timestamp": "2026-01-23T04:02:11Z" } From 27feb0c6c2673e909da2c218bd3e5d9cac08ac31 Mon Sep 17 00:00:00 2001 From: Zheyu Fu Date: Thu, 22 Jan 2026 22:47:51 -0800 Subject: [PATCH 049/241] [https://nvbugs/5680911][fix] Remove @cache decorator to enhance CI stability for unit tests using single process mode (#10730) Signed-off-by: Zheyu Fu --- tensorrt_llm/llmapi/utils.py | 3 +- tests/integration/test_lists/waives.txt | 3 +- .../speculative/test_draft_len_schedule.py | 20 ++- .../speculative/test_dynamic_spec_decode.py | 1 + .../_torch/speculative/test_spec_gate.py | 117 +++++++++++++----- 5 files changed, 98 insertions(+), 46 deletions(-) diff --git a/tensorrt_llm/llmapi/utils.py b/tensorrt_llm/llmapi/utils.py index 88e22fc639c3..f79823d844aa 100644 --- a/tensorrt_llm/llmapi/utils.py +++ b/tensorrt_llm/llmapi/utils.py @@ -15,7 +15,7 @@ import traceback import warnings import weakref -from functools import cache, wraps +from functools import wraps from pathlib import Path from queue import Queue from typing import (Any, Callable, Iterable, List, Optional, Tuple, Type, @@ -355,7 +355,6 @@ def enable_llmapi_debug() -> bool: return _enable_llmapi_debug_ -@cache def enable_worker_single_process_for_tp1() -> bool: ''' Tell whether to make worker use single process for TP1. This is helpful for return-logits performance and debugging. ''' diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 7e842d5ca213..5ba34413ab0b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -227,7 +227,6 @@ examples/test_llama.py::test_llm_llama_1gpu_fp4[llama-3.1-70b-instruct-enable_no accuracy/test_llm_api_pytorch.py::TestNemotronNas::test_auto_dtype_tp8 SKIP (https://nvbugs/5673527) unittest/_torch/auto_deploy/unit/multigpu/test_ad_build_small_multi.py::test_build_ad[meta-llama/Meta-Llama-3.1-8B-Instruct-llm_extra_args0-2] SKIP (https://nvbugs/5680755) full:H100_PCIe/unittest/llmapi/test_llm_pytorch.py::test_llama_7b_multi_lora_evict_and_reload_lora_gpu_cache SKIP (https://nvbugs/5682551) -unittest/_torch/speculative/test_draft_len_schedule.py::test_correctness_across_batch_sizes[model_drafter-schedule1] SKIP (https://nvbugs/5680911) accuracy/test_llm_api_pytorch.py::TestSeedOss_36B::test_auto_dtype SKIP (https://nvbugs/5612438) accuracy/test_llm_api_autodeploy.py::TestNemotronH::test_auto_dtype[True] SKIP (https://nvbugs/5688721) test_e2e.py::test_openai_completions_example[trt] SKIP (https://nvbugs/5701450) @@ -246,7 +245,6 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_3NemotronSuper49Bv1::test_fp8_prequ accuracy/test_llm_api_pytorch.py::TestNemotronUltra::test_fp8_prequantized[tp8ep4-cuda_graph=True] SKIP (https://nvbugs/5707145) accuracy/test_llm_api_pytorch.py::TestNemotronUltra::test_fp8_prequantized[tp8-cuda_graph=True] SKIP (https://nvbugs/5707145) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto] SKIP (https://nvbugs/5596343) -unittest/_torch/speculative/test_spec_gate.py::test_spec_gate_e2e SKIP (https://nvbugs/5710045) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4[moe_backend=CUTLASS-mtp_nextn=0-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5722629) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_2gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-two_model-overlap_scheduler] SKIP (https://nvbugs/5702826) @@ -269,6 +267,7 @@ triton_server/test_triton.py::test_opt[opt] SKIP (https://nvbugs/5739981) cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-2proc-mpi_kvcache-90] SKIP (https://nvbugs/5755941) examples/test_granite.py::test_llm_granite[granite-3.0-1b-a400m-instruct-bfloat16] SKIP (https://nvbugs/5608979) examples/test_granite.py::test_llm_granite[granite-3.0-2b-instruct-bfloat16] SKIP (https://nvbugs/5608979) +unittest/_torch/speculative/test_dynamic_spec_decode.py::test_dynamic_spec_decode SKIP (https://nvbugs/5758449) unittest/executor/test_base_worker.py::TestWorkerBase SKIP (https://nvbugs/5759698) triton_server/test_triton.py::test_gpt_disaggregated_serving_bls[gpt-disaggregated-serving-bls] SKIP (https://nvbugs/5582118) cpp/test_multi_gpu.py::test_cache_transceiver[8proc-mooncake_kvcache-90] SKIP (https://nvbugs/5760737) diff --git a/tests/unittest/_torch/speculative/test_draft_len_schedule.py b/tests/unittest/_torch/speculative/test_draft_len_schedule.py index e64ca7fa538c..32c491460f34 100644 --- a/tests/unittest/_torch/speculative/test_draft_len_schedule.py +++ b/tests/unittest/_torch/speculative/test_draft_len_schedule.py @@ -13,23 +13,18 @@ # # ============================================================================ -# # Fixture: Force single-worker mode for all tests in this module +# # Fixture: Force single-worker mode (only for tests that use mocking) # # ============================================================================ -@pytest.fixture(scope="module", autouse=True) -def enforce_single_worker(): - """Force single-worker mode for all tests in this module.""" - import os - - os.environ["TLLM_WORKER_USE_SINGLE_PROCESS"] = "1" +@pytest.fixture(scope="function") +def enforce_single_worker(monkeypatch): + """Mock functions don't work with multiple processes, so we enforce single worker.""" + monkeypatch.setenv("TLLM_WORKER_USE_SINGLE_PROCESS", "1") yield - if "TLLM_WORKER_USE_SINGLE_PROCESS" in os.environ: - del os.environ["TLLM_WORKER_USE_SINGLE_PROCESS"] # # ============================================================================ # # test 1: Generation correctness check # # ============================================================================ -@pytest.mark.skip("https://nvbugspro.nvidia.com/bug/5680911") @pytest.mark.parametrize( "drafter_type,schedule", [ @@ -151,8 +146,9 @@ def test_correctness_across_batch_sizes(drafter_type: str, schedule: dict): ], ) @pytest.mark.high_cuda_memory -@pytest.mark.skip("https://nvbugspro.nvidia.com/bug/5680911") -def test_draft_len_schedule_functionality(drafter_type: str, draft_schedule: dict): +def test_draft_len_schedule_functionality( + enforce_single_worker, drafter_type: str, draft_schedule: dict +): if not torch.cuda.is_available(): pytest.skip("CUDA not available") diff --git a/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py b/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py index eaa215c81e08..29b1016810f1 100644 --- a/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py +++ b/tests/unittest/_torch/speculative/test_dynamic_spec_decode.py @@ -21,6 +21,7 @@ def enforce_single_worker(monkeypatch): yield +@pytest.mark.skip("https://nvbugs/5758449") @pytest.mark.parametrize("disable_overlap_scheduler", [True, False]) @pytest.mark.high_cuda_memory def test_dynamic_spec_decode(enforce_single_worker, diff --git a/tests/unittest/_torch/speculative/test_spec_gate.py b/tests/unittest/_torch/speculative/test_spec_gate.py index a99654a9c633..4a859c7fc019 100644 --- a/tests/unittest/_torch/speculative/test_spec_gate.py +++ b/tests/unittest/_torch/speculative/test_spec_gate.py @@ -1,28 +1,34 @@ import os import sys import unittest +from unittest.mock import patch import pytest import torch from utils.llm_data import llm_models_root -from utils.util import similar, skip_blackwell from tensorrt_llm import LLM, SamplingParams from tensorrt_llm._torch.speculative.speculation_gate import SpeculationGate from tensorrt_llm.llmapi import (CudaGraphConfig, EagleDecodingConfig, KvCacheConfig) +from tensorrt_llm.logger import logger sys.path.append(os.path.join(os.path.dirname(__file__), '..')) -# It tests the end-to-end functionality of the SpeculationGate, -# which will turn off spec decode when the average acceptance length is below the threshold. -# It is set with acceptance window and acceptance threshold in spec_config. -# This test set the max_concurrency to a large value to prevent spec decode turned off due to number of effective requests > max_concurrency, -# So that we can only focus on the turning off effect from the SpeculationGate. -@skip_blackwell # TODO: Remove after fixing TRTLLM-GEN FMHA segfault on Blackwell. NVBugs: https://nvbugspro.nvidia.com/bug/5698292 +@pytest.fixture(scope="function") +def enforce_single_worker(monkeypatch): + """Mock functions don't work with multiple processes, so we enforce single worker.""" + monkeypatch.setenv("TLLM_WORKER_USE_SINGLE_PROCESS", "1") + yield + + +# Tests that the SpeculationGate correctly disables speculative decoding +# when the average acceptance rate drops below the threshold. +# This test uses a mock to simulate low acceptance rates and verifies +# that the spec gate triggers and disables speculation. @pytest.mark.high_cuda_memory -def test_spec_gate_e2e(): +def test_spec_gate_e2e(enforce_single_worker): total_mem_gb = torch.cuda.get_device_properties(0).total_memory / 1e9 if total_mem_gb < 35: pytest.skip("Not enough memory to load target + draft model") @@ -32,6 +38,8 @@ def test_spec_gate_e2e(): max_batch_size = 2 max_draft_len = 4 + acceptance_window = 3 + acceptance_threshold = 0.6 kv_cache_config = KvCacheConfig(enable_block_reuse=True, max_tokens=8192) cuda_graph_config = CudaGraphConfig(batch_sizes=[1]) @@ -48,39 +56,88 @@ def test_spec_gate_e2e(): spec_config = EagleDecodingConfig( max_draft_len=max_draft_len, speculative_model=eagle_model_dir, - # Llama 3 does not support one model eagle. eagle3_one_model=False, max_concurrency=10000, - acceptance_window=5, - acceptance_length_threshold=0.6, + acceptance_window=acceptance_window, + acceptance_length_threshold=acceptance_threshold, ) - llm_spec = LLM(**llm_common_config, speculative_config=spec_config) - # Output tests prompts = [ "The capital of France is", "The president of the United States is", "What is the capital of Australia?", - "Explain in one sentence why the sky is blue.", - "Who wrote the book 'Pride and Prejudice'?", - "List three U.S. national holidays in the year 2025.", - "What is the currency of Japan?", - "How many players are on a basketball court for one team?", - "List three primary colors.", ] - sampling_params = SamplingParams(max_tokens=32, temperature=0) + sampling_params = SamplingParams(max_tokens=20, temperature=0) + + # Track calls to record_avg_decoded and the disabled state + gate_state = {"record_calls": [], "gate_disabled": False} + + original_record_avg_decoded = SpeculationGate.record_avg_decoded + + def mock_record_avg_decoded(self, + avg_decoded_tokens_per_iter, + request_id=None): + """ + Mock that simulates low acceptance rate (1.2 tokens/iter = 0.2 accepted). + This is below the threshold of 0.6, so the gate should trigger after the window fills. + """ + # Simulate low acceptance: avg_decoded = 1.2 means accepted_len = 0.2 + # This is below threshold (0.6), so gate should trigger + simulated_low_avg = 1.2 + disabled_now, avg = original_record_avg_decoded(self, simulated_low_avg, + request_id) + + gate_state["record_calls"].append({ + "original_avg": avg_decoded_tokens_per_iter, + "simulated_avg": simulated_low_avg, + "disabled_now": disabled_now, + "avg_accept": avg, + "request_id": request_id, + }) + if disabled_now: + gate_state["gate_disabled"] = True + + return disabled_now, avg - results_spec = llm_spec.generate(prompts, sampling_params) - generated_text_spec = [result.outputs[0].text for result in results_spec] - llm_spec.shutdown() - - llm_ref = LLM(**llm_common_config) - results_ref = llm_ref.generate(prompts, sampling_params) - generated_text_ref = [result.outputs[0].text for result in results_ref] - llm_ref.shutdown() + llm_spec = LLM(**llm_common_config, speculative_config=spec_config) - for text_spec, text_ref in zip(generated_text_spec, generated_text_ref): - assert similar(text_spec, text_ref) + try: + with patch.object(SpeculationGate, 'record_avg_decoded', + mock_record_avg_decoded): + llm_spec.generate(prompts, sampling_params) + + # Verify the mock was called (requests completed) + assert len(gate_state["record_calls"] + ) > 0, "record_avg_decoded should have been called" + + # Verify the gate was disabled after enough requests with low acceptance + assert gate_state["gate_disabled"], \ + f"Gate should have been disabled with simulated low acceptance. Calls: {gate_state['record_calls']}" + + # Verify the gate triggered at the right time (after window is filled) + # The gate should trigger on the `acceptance_window`-th call (index = window - 1) + disable_indices = [ + i for i, call in enumerate(gate_state["record_calls"]) + if call["disabled_now"] + ] + assert len(disable_indices) == 1, \ + f"Gate should have triggered exactly once, but triggered at indices: {disable_indices}" + assert disable_indices[0] >= acceptance_window - 1, \ + f"Gate should trigger after window ({acceptance_window}) is filled, but triggered at index {disable_indices[0]}" + + # Verify the average acceptance was below threshold when disabled + disable_call = gate_state["record_calls"][disable_indices[0]] + assert disable_call["avg_accept"] is not None + assert disable_call["avg_accept"] < acceptance_threshold, \ + f"Avg acceptance ({disable_call['avg_accept']}) should be below threshold ({acceptance_threshold})" + + logger.debug( + f"Gate correctly triggered after {disable_indices[0] + 1} requests") + logger.debug( + f"Final avg acceptance: {disable_call['avg_accept']:.3f} < threshold {acceptance_threshold}" + ) + finally: + llm_spec.shutdown() def test_returns_none_until_window_and_enabled_when_above_threshold(): From 9205a4d60ac2d45a0c48174f048ecb66a37cba13 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Fri, 23 Jan 2026 15:15:24 +0800 Subject: [PATCH 050/241] [https://nvbugs/5814309][fix] Use NCCL as fallback to avoid crash due to insufficient memory (#10928) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- cpp/tensorrt_llm/common/customAllReduceUtils.h | 2 +- cpp/tensorrt_llm/thop/allreduceOp.cpp | 12 ++++++------ 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/cpp/tensorrt_llm/common/customAllReduceUtils.h b/cpp/tensorrt_llm/common/customAllReduceUtils.h index 5f35ff5f89e8..f69eb0cb2565 100644 --- a/cpp/tensorrt_llm/common/customAllReduceUtils.h +++ b/cpp/tensorrt_llm/common/customAllReduceUtils.h @@ -115,7 +115,7 @@ inline AllReduceStrategyType selectStrategyLookUpTable( || num_token_index >= AllReduceBestStrategyTable.at(sm_version).at(tp_index).at(fusion_op_index).at(hidden_size_index).size()) { - return AllReduceStrategyType::NCCL_SYMMETRIC; + return AllReduceStrategyType::NCCL; } return static_cast( diff --git a/cpp/tensorrt_llm/thop/allreduceOp.cpp b/cpp/tensorrt_llm/thop/allreduceOp.cpp index c75324251865..903908288756 100644 --- a/cpp/tensorrt_llm/thop/allreduceOp.cpp +++ b/cpp/tensorrt_llm/thop/allreduceOp.cpp @@ -281,7 +281,7 @@ class AllreduceOp std::vector run(torch::Tensor const& input, torch::optional const& residual, torch::optional const& norm_weight, torch::optional const& scale, torch::optional const& bias, bool trigger_completion_at_end, - torch::optional workspace) noexcept + torch::optional workspace) { size_t size = input.numel(); size_t seq_len = input.size(0); @@ -564,7 +564,7 @@ class AllreduceOp std::vector runLowPrecisionAllReduce(torch::Tensor const& input, torch::optional const& residual, torch::optional const& norm_weight, - torch::optional const& scale, torch::optional const& bias) noexcept + torch::optional const& scale, torch::optional const& bias) { #ifdef ENABLE_FP8 auto stream = at::cuda::getCurrentCUDAStream(input.get_device()); @@ -632,8 +632,7 @@ class AllreduceOp std::vector runFusionAllReduce(torch::Tensor const& input, torch::optional const& residual, torch::optional const& norm_weight, torch::optional const& scale, torch::optional const& bias, - bool trigger_completion_at_end, torch::optional workspace, - AllReduceStrategyType strategy) noexcept + bool trigger_completion_at_end, torch::optional workspace, AllReduceStrategyType strategy) { // Should handle only Lamport implementation auto stream = at::cuda::getCurrentCUDAStream(input.get_device()); @@ -1206,7 +1205,7 @@ class AllreduceOp if (ifFallbackToNCCL(seq_len, message_size_bytes, max_workspace_size)) { - return AllReduceStrategyType::NCCL_SYMMETRIC; + return AllReduceStrategyType::NCCL; } // This rule based heuristic only chooses between NCCL_SYMMETRIC and MIN_LATENCY strategies. @@ -1232,7 +1231,8 @@ class AllreduceOp bool ifFallbackToNCCL(size_t seq_len, size_t message_size_bytes, size_t max_workspace_size) { - // If messageSize is greater than maxWorkspaceSize or topology is unsuitable, use NCCL_SYMMETRIC fallback. + // If messageSize is greater than maxWorkspaceSize or topology is unsuitable, use NCCL fallback. + // TODO: Use NCCL_SYMMETRIC once the memory allocation issue is resolved. if (message_size_bytes > max_workspace_size || !mIsP2PSupported || !mIsNVLINKSupported) { return true; From ea4b8c94c19b6fe1cde38671bbfb5333cae3d83e Mon Sep 17 00:00:00 2001 From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Date: Fri, 23 Jan 2026 16:19:18 +0800 Subject: [PATCH 051/241] [None][test] Update test list (#10883) Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> --- tests/integration/test_lists/qa/llm_function_core.txt | 2 -- tests/integration/test_lists/qa/llm_function_stress.txt | 2 ++ 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt index ef01d699d82b..1928574cf389 100644 --- a/tests/integration/test_lists/qa/llm_function_core.txt +++ b/tests/integration/test_lists/qa/llm_function_core.txt @@ -117,8 +117,6 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp_trtllm] accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[latency] accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale_chunked_prefill[throughput] -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_fp8_8gpus TIMEOUT (240) -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_nvfp4_4gpus TIMEOUT (240) accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline] accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline_mtp1] accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[baseline_fp8kv] diff --git a/tests/integration/test_lists/qa/llm_function_stress.txt b/tests/integration/test_lists/qa/llm_function_stress.txt index 7b14358fd3ed..a4f744b469d6 100644 --- a/tests/integration/test_lists/qa/llm_function_stress.txt +++ b/tests/integration/test_lists/qa/llm_function_stress.txt @@ -3,3 +3,5 @@ stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_360 stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-deepseek_r1_v2_fp4_stress] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-gpt_oss_120b_stress] +accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_fp8_8gpus +accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_nvfp4_4gpus From 133076a6217f20cdce5aad55538b27c63ee048c1 Mon Sep 17 00:00:00 2001 From: Yihan Wang Date: Fri, 23 Jan 2026 18:12:02 +0800 Subject: [PATCH 052/241] [https://nvbugs/5833795][chore] Waive test test_e2e.py::test_ptp_quickstart_advanced[GPT-OSS-120B-gpt_oss/gpt-oss-120b] (#10952) Signed-off-by: Yihan Wang --- tests/integration/test_lists/waives.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 5ba34413ab0b..79f2ef831e7a 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -148,6 +148,7 @@ full:L40S/accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dty full:L20/accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (https://nvbugs/5375620) test_e2e.py::test_ptp_quickstart_advanced_multi_gpus[Llama3.1-405B-FP8-llama-3.1-model/Llama-3.1-405B-Instruct-FP8-8] SKIP (https://nvbugs/5380570) test_e2e.py::test_ptp_quickstart_advanced_multi_gpus[Nemotron-Ultra-253B-nemotron-nas/Llama-3_1-Nemotron-Ultra-253B-v1-8] SKIP (https://nvbugs/5380570) +test_e2e.py::test_ptp_quickstart_advanced[GPT-OSS-120B-gpt_oss/gpt-oss-120b] SKIP (https://nvbugs/5833795) examples/test_multimodal.py::test_llm_multimodal_general[Phi-4-multimodal-instruct-pp:1-tp:1-float16-bs:1-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5385992) examples/test_recurrentgemma.py::test_llm_recurrentgemma_1gpu[use_cpp_session-recurrentgemma-2b-use_paged_cache-int4_awq-float16-enable_attn_plugin-enable_gemm_plugin] SKIP (https://nvbugs/5401233) examples/test_recurrentgemma.py::test_llm_recurrentgemma_2gpu[recurrentgemma-2b] SKIP (https://nvbugs/5401233) From 09e4a949182c39447a73d616ea59a09068093566 Mon Sep 17 00:00:00 2001 From: Yihan Wang Date: Fri, 23 Jan 2026 22:30:56 +0800 Subject: [PATCH 053/241] [https://nvbugs/5741304][chore] Update flashinfer-python to 0.6.1 (#10871) Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com> Signed-off-by: Yihan Wang Co-authored-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com> --- ATTRIBUTIONS-Python.md | 2 +- requirements.txt | 4 +- security_scanning/pyproject.toml | 2 +- .../_torch/attention_backend/flashinfer.py | 2 + .../custom_ops/flashinfer_attention.py | 154 +----------------- .../defs/accuracy/test_llm_api_autodeploy.py | 3 +- tests/integration/test_lists/waives.txt | 3 +- 7 files changed, 12 insertions(+), 158 deletions(-) diff --git a/ATTRIBUTIONS-Python.md b/ATTRIBUTIONS-Python.md index 3cff1f73986f..0b20b131bc02 100644 --- a/ATTRIBUTIONS-Python.md +++ b/ATTRIBUTIONS-Python.md @@ -5261,7 +5261,7 @@ For more information, please refer to - `Tracker`: https://github.com/tox-dev/py-filelock/issues -## flashinfer-python (0.3.1.post1) +## flashinfer-python (0.6.1) ### Licenses License: `Apache-2.0` diff --git a/requirements.txt b/requirements.txt index 2e789cbc7f61..689d8c2b9db9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -53,7 +53,7 @@ ordered-set peft patchelf einops -flashinfer-python>=0.3.0,<0.4.0 +flashinfer-python~=0.6.1 opencv-python-headless xgrammar==0.1.25 llguidance==0.7.29 @@ -74,7 +74,7 @@ nvidia-cutlass-dsl==4.3.4; python_version >= "3.10" plotly numexpr<2.14.0 # WAR for attempted use of nonexistent numpy.typing partial_json_parser -apache-tvm-ffi==0.1.4 # used for reduce nvidia-cutlass-dsl host overhead +apache-tvm-ffi==0.1.6 # used for reduce nvidia-cutlass-dsl host overhead torch-c-dlpack-ext==0.1.3 # used for reduce nvidia-cutlass-dsl host overhead, optional package for improved torch tensor calling perf mistral-common==1.8.6 torchao>=0.14.1 diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index cacb28749b84..78d905f5b3fe 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "peft (>=0.18.1,<0.19.0)", "patchelf (>=0.17.2.4,<0.18.0.0)", "einops (>=0.8.1,<0.9.0)", - "flashinfer-python (>=0.3.0,<0.4.0)", + "flashinfer-python (==0.6.1)", "xgrammar (==0.1.25)", "llguidance (==0.7.29)", "jsonschema (>=4.26.0,<5.0.0)", diff --git a/tensorrt_llm/_torch/attention_backend/flashinfer.py b/tensorrt_llm/_torch/attention_backend/flashinfer.py index a6f52ee4a7dd..4766b49a6cd0 100644 --- a/tensorrt_llm/_torch/attention_backend/flashinfer.py +++ b/tensorrt_llm/_torch/attention_backend/flashinfer.py @@ -425,6 +425,8 @@ def prefill_plan(): paged_kv_indices_buffer=self._paged_kv_indices, paged_kv_last_page_len_buffer=self._paged_kv_last_page_len, use_tensor_cores=use_tensor_cores, + backend="fa2" + if torch.cuda.get_device_capability(0) == (9, 0) else "auto", ) def decode_plan(): diff --git a/tensorrt_llm/_torch/auto_deploy/custom_ops/flashinfer_attention.py b/tensorrt_llm/_torch/auto_deploy/custom_ops/flashinfer_attention.py index c8c2f8351563..ac530fd7eaa1 100644 --- a/tensorrt_llm/_torch/auto_deploy/custom_ops/flashinfer_attention.py +++ b/tensorrt_llm/_torch/auto_deploy/custom_ops/flashinfer_attention.py @@ -26,156 +26,6 @@ ) -# TODO: remove this when flashinfer version is updated to >0.5 -def fast_decode_plan( - wrapper: flashinfer.BatchDecodeWithPagedKVCacheWrapper, - indptr: torch.Tensor, - indices: torch.Tensor, - last_page_len: torch.Tensor, - num_qo_heads: int, - num_kv_heads: int, - head_dim: int, - page_size: int, - pos_encoding_mode: str = "NONE", - window_left: int = -1, - logits_soft_cap: Optional[float] = None, - q_data_type: Optional[Union[str, torch.dtype]] = None, - kv_data_type: Optional[Union[str, torch.dtype]] = None, - data_type: Optional[Union[str, torch.dtype]] = None, - sm_scale: Optional[float] = None, - rope_scale: Optional[float] = None, - rope_theta: Optional[float] = None, - non_blocking: bool = True, - fixed_split_size: Optional[int] = None, - disable_split_kv: bool = False, - global_override_indptr_cpu: Optional[torch.Tensor] = None, -) -> None: - """ - Copied from flashinfer.decode.fast_decode_plan in flashinfer version >0.5. - Does not exist in flashinfer version 0.3.1, hence copied here. - """ - batch_size = len(last_page_len) - if logits_soft_cap is None: - logits_soft_cap = 0.0 - - # Handle data types consistently - if data_type is not None: - if q_data_type is None: - q_data_type = data_type - if kv_data_type is None: - kv_data_type = data_type - elif q_data_type is None: - q_data_type = "float16" - - if kv_data_type is None: - kv_data_type = q_data_type - - if wrapper.use_tensor_cores: - qo_indptr_host = torch.arange(batch_size + 1, dtype=torch.int32, device="cpu") - # Here we set fixed_split_size to -1 to avoid the assertion error in flashinfer's plan function - if fixed_split_size is None: - fixed_split_size = -1 - - if wrapper.is_cuda_graph_enabled: - if batch_size != wrapper._fixed_batch_size: - raise ValueError( - "The batch size should be fixed in cudagraph mode, the runtime batch size {} " - " mismatches the batch size set during initialization {}".format( - batch_size, wrapper._fixed_batch_size - ) - ) - if len(indices) > len(wrapper._paged_kv_indices_buf): - raise ValueError( - "The size of indices should be less than or equal to the allocated buffer" - ) - else: - wrapper._paged_kv_indptr_buf = indptr - wrapper._paged_kv_indices_buf = indices - wrapper._paged_kv_last_page_len_buf = last_page_len - if wrapper.use_tensor_cores: - wrapper._qo_indptr_buf = qo_indptr_host.to(wrapper.device, non_blocking=non_blocking) - - # Create empty tensors for dtype info if needed - empty_q_data = torch.empty( - 0, - dtype=(getattr(torch, q_data_type) if isinstance(q_data_type, str) else q_data_type), - device=wrapper.device, - ) - - empty_kv_cache = torch.empty( - 0, - dtype=(getattr(torch, kv_data_type) if isinstance(kv_data_type, str) else kv_data_type), - device=wrapper.device, - ) - - indptr_host = ( - global_override_indptr_cpu if global_override_indptr_cpu is not None else indptr.cpu() - ) - - with torch.cuda.device(wrapper.device): - if wrapper.use_tensor_cores: - # ALSO convert last_page_len to CPU - if page_size == 1: - # When page size is 1, last_page_len is always 1. - # Directly construct the host tensor rather than executing a device-to-host copy. - last_page_len_host = torch.ones((batch_size,), dtype=torch.int32, device="cpu") - else: - last_page_len_host = last_page_len.cpu() - - kv_lens_arr_host = flashinfer.get_seq_lens(indptr_host, last_page_len_host, page_size) - - try: - # Make sure we pass exactly 15 arguments for tensor core version - wrapper._plan_info = wrapper._cached_module.plan( - wrapper._float_workspace_buffer, - wrapper._int_workspace_buffer, - wrapper._pin_memory_int_workspace_buffer, - qo_indptr_host, - indptr_host, - kv_lens_arr_host, - batch_size, # total_num_rows - batch_size, - num_qo_heads, - num_kv_heads, - page_size, - wrapper.is_cuda_graph_enabled, - head_dim, - head_dim, - False, # causal - ) - except Exception as e: - raise RuntimeError(f"Error in standard plan: {e}") from e - else: - try: - # Make sure we pass exactly 15 arguments for standard version - wrapper._plan_info = wrapper._cached_module.plan( - wrapper._float_workspace_buffer, - wrapper._int_workspace_buffer, - wrapper._pin_memory_int_workspace_buffer, - indptr_host, - batch_size, - num_qo_heads, - num_kv_heads, - page_size, - wrapper.is_cuda_graph_enabled, - window_left, - logits_soft_cap, - head_dim, - head_dim, - empty_q_data, - empty_kv_cache, - ) - except Exception as e: - raise RuntimeError(f"Error in standard plan: {e}") from e - - wrapper._pos_encoding_mode = pos_encoding_mode - wrapper._window_left = window_left - wrapper._logits_soft_cap = logits_soft_cap - wrapper._sm_scale = sm_scale - wrapper._rope_scale = rope_scale - wrapper._rope_theta = rope_theta - - @dataclass class PlanParams: """Parameters that affect the flashinfer execution plan.""" @@ -233,12 +83,14 @@ def _init_decode_wrapper( paged_kv_indices_buffer=indices, paged_kv_last_page_len_buffer=last_page_len, use_tensor_cores=True, + backend="fa2" if torch.cuda.get_device_capability(0) == (9, 0) else "auto", ) else: return flashinfer.BatchDecodeWithPagedKVCacheWrapper( self.workspace_buffer, "NHD", use_tensor_cores=True, + backend="fa2" if torch.cuda.get_device_capability(0) == (9, 0) else "auto", ) def init_workspace(self, workspace_buffer: torch.Tensor): @@ -268,7 +120,7 @@ def plan_generate_only( for plan_params in self.cached_cuda_graph_decode_wrappers: if plan_params.num_seq == num_seq: wrapper = self.cached_cuda_graph_decode_wrappers[plan_params] - fast_decode_plan( + flashinfer.decode.fast_decode_plan( wrapper, cu_num_pages, cache_loc, diff --git a/tests/integration/defs/accuracy/test_llm_api_autodeploy.py b/tests/integration/defs/accuracy/test_llm_api_autodeploy.py index e823d053a790..1cca6b8e5b81 100644 --- a/tests/integration/defs/accuracy/test_llm_api_autodeploy.py +++ b/tests/integration/defs/accuracy/test_llm_api_autodeploy.py @@ -193,10 +193,10 @@ def test_bf16(self): # TODO: multi-stream MOE seems to increase the memory usage kwargs["max_batch_size"] = 32 kwargs["free_mem_ratio"] = 0.4 - sampling_params = self.get_default_sampling_params() with AutoDeployLLM(model=self.MODEL_PATH_BF16, tokenizer=self.MODEL_PATH_BF16, **kwargs) as llm: + sampling_params = self.get_default_sampling_params() task = MMLU(self.MODEL_NAME) task.evaluate(llm, sampling_params=sampling_params) task = GSM8K(self.MODEL_NAME) @@ -205,6 +205,7 @@ def test_bf16(self): @pytest.mark.skip_less_device_memory(32000) def test_fp8(self): kwargs = self.get_default_kwargs() + kwargs["max_batch_size"] = 64 with AutoDeployLLM(model=self.MODEL_PATH_FP8, tokenizer=self.MODEL_PATH_FP8, **kwargs) as llm: diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 79f2ef831e7a..f3dce5937cad 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -259,7 +259,6 @@ unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_serve full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=2] SKIP (https://nvbugs/5596337) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5596337) accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] SKIP (https://nvbugs/5721672) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=True-attn_backend=FLASHINFER-torch_compile=True] SKIP (https://nvbugs/5741304) unittest/_torch/multi_gpu/test_allreduce.py::test_allreduce_fusion_patterns[2-residual_rms_norm_out_quant_fp8-hidden:7168-seqlen:8192] SKIP (https://nvbugs/5741392) unittest/executor/test_rpc.py::TestRpcCorrectness::test_incremental_task_async SKIP (https://nvbugs/5741476) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) @@ -316,6 +315,7 @@ unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-3.1-8b-instruct-hf-fp8] SKIP (https://nvbugs/5769890) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[DeepSeek-V3-Lite-bf16] SKIP (https://nvbugs/5769890) accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_pp4_mtp] SKIP (https://nvbugs/5779536) +unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5831976) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) cpp/test_e2e.py::test_model[-mamba-86] SKIP (https://nvbugs/5781665) @@ -352,7 +352,6 @@ accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=0-attention_dp=False-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5800646) full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-ep4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-overlap_scheduler] SKIP (https://nvbugs/5800679) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_bfloat16_4gpus[tp4-attn_backend=FLASHINFER-torch_compile=False] SKIP (https://nvbugs/5741304) examples/test_medusa.py::test_llm_medusa_with_qaunt_base_model_1gpu[fp8-use_cpp_session-medusa-vicuna-7b-v1.3-4-heads-float16-bs1] SKIP (https://nvbugs/5802248) accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[False] SKIP (https://nvbugs/5799901) accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (https://nvbugs/5799901) From cab453fdb3e69ed0584c737b989c39bf70daadd3 Mon Sep 17 00:00:00 2001 From: Mike Iovine Date: Fri, 23 Jan 2026 10:50:17 -0500 Subject: [PATCH 054/241] [https://nvbugs/5814914][fix] Fix llama sm120 spec dec (#10765) Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/model_engine.py | 8 ++++++-- tensorrt_llm/_torch/speculative/interface.py | 13 +++++++------ 2 files changed, 13 insertions(+), 8 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py index fdfb511e5e06..a2357b696eb0 100644 --- a/tensorrt_llm/_torch/pyexecutor/model_engine.py +++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py @@ -3247,9 +3247,13 @@ def forward(self, no_cache=kv_cache_manager is None) # attn_metadata now depends on spec_metadata since it determines the shape/content of spec_dec parameter Tensors + enable_mla = is_mla(self.model.model_config.pretrained_config) is_spec_dec_mode = spec_metadata.spec_dec_mode.attention_need_spec_dec_mode( - spec_resource_manager, self.is_draft_model, self.attn_backend, - self.model_is_wrapped) + spec_resource_manager, + self.is_draft_model, + self.attn_backend, + self.model_is_wrapped, + is_mla=enable_mla) attn_metadata.update_spec_dec_param( batch_size=scheduled_requests.batch_size, is_spec_decoding_enabled=is_spec_dec_mode, diff --git a/tensorrt_llm/_torch/speculative/interface.py b/tensorrt_llm/_torch/speculative/interface.py index 8dffa020c2bd..5037057699ed 100644 --- a/tensorrt_llm/_torch/speculative/interface.py +++ b/tensorrt_llm/_torch/speculative/interface.py @@ -146,11 +146,12 @@ def extend_ctx(self, attention_backend: Type[AttentionBackend]): TrtllmAttention) or not xqa_supported def attention_need_spec_dec_mode( - self, - spec_resource_manager: Optional[BaseResourceManager], - is_draft_model: bool, - attention_backend: Type[AttentionBackend], - use_chain_drafter: bool, # CDL + self, + spec_resource_manager: Optional[BaseResourceManager], + is_draft_model: bool, + attention_backend: Type[AttentionBackend], + use_chain_drafter: bool, # CDL + is_mla: bool, ): """ If true, the attention backend kernel needs to run in spec-dec mode (multi-token query mode). @@ -163,7 +164,7 @@ def attention_need_spec_dec_mode( is_trtllm_attention = issubclass(attention_backend, TrtllmAttention) # Always use the multi-token query mode for 1-model if the kernels are available. - xqa_supported = get_sm_version() < 120 + xqa_supported = not is_mla or get_sm_version() < 120 use_case_1 = self.use_one_engine() and xqa_supported # For 2-model, we need to enable it when we process multiple tokens at once. This occurs with # the target model (verification) or on the first draft for CDL based speculation. From 571521ba34745c8215152392f032a82946302f43 Mon Sep 17 00:00:00 2001 From: Mike Iovine Date: Fri, 23 Jan 2026 10:50:40 -0500 Subject: [PATCH 055/241] [None][fix] Fix MTP 1-model sampler (#10369) Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/model_engine.py | 9 ++++----- .../_torch/pyexecutor/py_executor_creator.py | 16 ++++++---------- tensorrt_llm/_torch/speculative/utils.py | 1 + 3 files changed, 11 insertions(+), 15 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py index a2357b696eb0..6604dfb260f5 100644 --- a/tensorrt_llm/_torch/pyexecutor/model_engine.py +++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py @@ -48,8 +48,7 @@ get_spec_metadata, update_spec_config_from_model_config) from ..speculative.drafting_loops import BaseDraftingLoopWrapper -from ..speculative.eagle3 import (Eagle3OneModelSpecMetadata, - Eagle3ResourceManager, Eagle3SpecMetadata) +from ..speculative.eagle3 import Eagle3ResourceManager, Eagle3SpecMetadata from ..speculative.mtp import SampleStateTensorsMTP from ..speculative.utils import SpecDecodingTensor from ..utils import (get_model_extra_attrs, @@ -2684,9 +2683,9 @@ def previous_seq_slots_device(): num_accepted_draft_tokens)] if isinstance(spec_metadata, Eagle3SpecMetadata): spec_metadata.request_accepted_path = request_accepted_path - if isinstance(spec_metadata, Eagle3OneModelSpecMetadata): - spec_metadata.populate_sampling_params_for_one_model( - scheduled_requests.all_requests()) + # No-op for non 1-model + spec_metadata.populate_sampling_params_for_one_model( + scheduled_requests.all_requests()) spec_metadata.prepare() inputs['spec_metadata'] = spec_metadata diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py index 46960dabe741..704a319737c0 100644 --- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py +++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py @@ -281,16 +281,12 @@ def create_py_executor( ) llm_args.disable_overlap_scheduler = True - if spec_config is not None and spec_config.spec_dec_mode.use_one_engine(): - if not spec_config.allow_advanced_sampling: - logger.warning( - f"Falling back to greedy decoding for {spec_config.decoding_type}. If you " - "want to use non-greedy sampling, please set allow_advanced_sampling=True." - ) - elif spec_config.spec_dec_mode.is_mtp_one_model(): - logger.warning( - "Advanced sampling is not supported for MTP yet - this will be added soon." - ) + if spec_config is not None and spec_config.spec_dec_mode.use_one_engine( + ) and not spec_config.allow_advanced_sampling: + logger.warning( + f"Falling back to greedy decoding for {spec_config.decoding_type}. If you " + "want to use non-greedy sampling, please set allow_advanced_sampling=True." + ) if mm_encoder_only: llm_args.mm_encoder_only = True diff --git a/tensorrt_llm/_torch/speculative/utils.py b/tensorrt_llm/_torch/speculative/utils.py index 6a22ad19bd4b..1eb036de99e7 100644 --- a/tensorrt_llm/_torch/speculative/utils.py +++ b/tensorrt_llm/_torch/speculative/utils.py @@ -31,6 +31,7 @@ def get_spec_metadata(spec_config, mtp_num_modules=spec_config.num_nextn_predict_layers, max_num_requests=max_num_requests, mtp_hidden_states_manager=spec_resource_manager, + allow_advanced_sampling=spec_config.allow_advanced_sampling, ) if spec_config.spec_dec_mode.is_mtp_eagle(): return Eagle3SpecMetadata( From 8159925f7b27a13ab51a505843cb3aba611894f7 Mon Sep 17 00:00:00 2001 From: Yanchao Lu Date: Sat, 24 Jan 2026 10:21:01 +0800 Subject: [PATCH 056/241] [None][ci] Remove long-running sanity check tests on GH200 (#10924) Signed-off-by: Yanchao Lu --- .../test_lists/test-db/l0_sanity_check.yml | 92 +++++++++++-------- 1 file changed, 56 insertions(+), 36 deletions(-) diff --git a/tests/integration/test_lists/test-db/l0_sanity_check.yml b/tests/integration/test_lists/test-db/l0_sanity_check.yml index f88ac7733750..21aafd1e97fe 100644 --- a/tests/integration/test_lists/test-db/l0_sanity_check.yml +++ b/tests/integration/test_lists/test-db/l0_sanity_check.yml @@ -1,38 +1,58 @@ version: 0.0.1 l0_sanity_check: - - condition: - ranges: - system_gpu_count: - gte: 1 - lte: 1 - wildcards: - gpu: - - '*b100*' - - '*h100*' - - '*h200*' - - '*l40s*' - - '*a10*' - - '*gb202*' - - '*gb203*' - - '*5080*' - - '*5090*' - linux_distribution_name: ubuntu* - tests: - - llmapi/test_llm_examples.py::test_llmapi_quickstart - - llmapi/test_llm_examples.py::test_llmapi_example_inference - - llmapi/test_llm_examples.py::test_llmapi_example_inference_async - - llmapi/test_llm_examples.py::test_llmapi_example_inference_async_streaming - - llmapi/test_llm_examples.py::test_llmapi_example_multilora - - llmapi/test_llm_examples.py::test_llmapi_example_guided_decoding - - llmapi/test_llm_examples.py::test_llmapi_example_logits_processor - - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_mtp TIMEOUT (90) - - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_eagle3 - - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_ngram - - llmapi/test_llm_examples.py::test_llmapi_sampling - - llmapi/test_llm_examples.py::test_llmapi_runtime - - llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine - - examples/test_llm_api_with_mpi.py::test_llm_api_single_gpu_with_mpirun[TinyLlama-1.1B-Chat-v1.0] ISOLATION - - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[NIXL-mha-ctx_fp16_gen_fp16] - - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[UCX-mha-ctx_fp16_gen_fp16] - - unittest/others/test_kv_cache_transceiver.py::test_cancel_request_in_transmission[mha] - - unittest/others/test_kv_cache_transceiver.py::test_cancel_request_in_transmission[mla] +- condition: + ranges: + system_gpu_count: + gte: 1 + lte: 1 + wildcards: + gpu: + - '*b100*' + - '*h100*' + - '*h200*' + - '*l40s*' + - '*a10*' + - '*gb202*' + - '*gb203*' + - '*5080*' + - '*5090*' + linux_distribution_name: ubuntu* + tests: + - llmapi/test_llm_examples.py::test_llmapi_quickstart + - llmapi/test_llm_examples.py::test_llmapi_example_inference + - llmapi/test_llm_examples.py::test_llmapi_example_inference_async + - llmapi/test_llm_examples.py::test_llmapi_example_inference_async_streaming + - llmapi/test_llm_examples.py::test_llmapi_example_multilora + - llmapi/test_llm_examples.py::test_llmapi_example_guided_decoding + - llmapi/test_llm_examples.py::test_llmapi_example_logits_processor + - llmapi/test_llm_examples.py::test_llmapi_sampling + - llmapi/test_llm_examples.py::test_llmapi_runtime + - llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine + - examples/test_llm_api_with_mpi.py::test_llm_api_single_gpu_with_mpirun[TinyLlama-1.1B-Chat-v1.0] ISOLATION + - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[NIXL-mha-ctx_fp16_gen_fp16] + - unittest/others/test_kv_cache_transceiver.py::test_kv_cache_transceiver_single_process[UCX-mha-ctx_fp16_gen_fp16] + - unittest/others/test_kv_cache_transceiver.py::test_cancel_request_in_transmission[mha] + - unittest/others/test_kv_cache_transceiver.py::test_cancel_request_in_transmission[mla] +- condition: + ranges: + system_gpu_count: + gte: 1 + lte: 1 + wildcards: + gpu: + - '*b100*' + - '*h100*' + - '*h200*' + - '*l40s*' + - '*a10*' + - '*gb202*' + - '*gb203*' + - '*5080*' + - '*5090*' + linux_distribution_name: ubuntu* + cpu: x86_64 + tests: + # Don't run long-running and medium-/large-size model sanity tests on GH200 + - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_mtp TIMEOUT (90) + - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_eagle3 + - llmapi/test_llm_examples.py::test_llmapi_speculative_decoding_ngram From 02cb227337dfd873a681329c1b2b8f9a7481bcd8 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 24 Jan 2026 03:41:11 +0000 Subject: [PATCH 057/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 7 +- .../examples/models/contrib/stdit/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 86 ++++++++++++++----- security_scanning/pyproject.toml | 2 +- 6 files changed, 76 insertions(+), 35 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 4342691eb75d..e2937a77be58 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -4167,14 +4167,14 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.3.1" +version = "0.3.2" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.3.1-py3-none-any.whl", hash = "sha256:b2d355df3ec5d51bfc973a22fb4ea9a03b12fdcbf00d0abd22a2c78b12ccc177"}, - {file = "wcwidth-0.3.1.tar.gz", hash = "sha256:5aedb626a9c0d941b990cfebda848d538d45c9493a3384d080aff809143bd3be"}, + {file = "wcwidth-0.3.2-py3-none-any.whl", hash = "sha256:817abc6a89e47242a349b5d100cbd244301690d6d8d2ec6335f26fe6640a6315"}, + {file = "wcwidth-0.3.2.tar.gz", hash = "sha256:d469b3059dab6b1077def5923ed0a8bf5738bd4a1a87f686d5e2de455354c4ad"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock 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-test = ["pytest (>=3.6)", "pytest-cov", "pytest-runner"] - [[package]] name = "pyparsing" version = "3.3.2" @@ -6832,4 +6872,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "51dd957190b56cbf87c695c5435a1d05f29da28fda4ce11df383f1c5631800aa" +content-hash = "1f26b1eecc7f21e53dc4380f7865392092be221df4ccf54b27c7d0e3e1c8b812" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 78d905f5b3fe..b7ba2ba55a67 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "peft (>=0.18.1,<0.19.0)", "patchelf (>=0.17.2.4,<0.18.0.0)", "einops (>=0.8.1,<0.9.0)", - "flashinfer-python (==0.6.1)", + "flashinfer-python (>=0.6.1,<0.7.0)", "xgrammar (==0.1.25)", "llguidance (==0.7.29)", "jsonschema (>=4.26.0,<5.0.0)", From 01ba1a1fd07ac7de5d84aea0b56eb01340dec70e Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 24 Jan 2026 04:35:12 +0000 Subject: [PATCH 058/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 963bd8878f56..f2787a30fd68 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "8159925f7b27a13ab51a505843cb3aba611894f7", - "timestamp": "2026-01-24T03:15:57Z" + "commit_hash": "02cb227337dfd873a681329c1b2b8f9a7481bcd8", + "timestamp": "2026-01-24T04:01:08Z" } From fe27e9a9cbcb002ada00a21b7885735826ea5965 Mon Sep 17 00:00:00 2001 From: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com> Date: Sat, 24 Jan 2026 16:04:02 +0800 Subject: [PATCH 059/241] =?UTF-8?q?[https://nvbugs/5804146][fix]=20Enable?= =?UTF-8?q?=20responses=20tests=20and=20remove=20ds=20to=E2=80=A6=20(#1092?= =?UTF-8?q?5)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - .../llmapi/apps/_test_openai_responses.py | 17 +++++------------ 2 files changed, 5 insertions(+), 13 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f3dce5937cad..f25aba65a3cc 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -291,7 +291,6 @@ unittest/executor/test_rpc_proxy.py SKIP (https://nvbugs/5605741) unittest/executor/test_rpc_worker.py SKIP (https://nvbugs/5605741) cpp/test_e2e.py::test_model[-redrafter-86] SKIP (https://nvbugs/5761642) unittest/_torch/thop/parallel/test_fp8_block_scale_gemm.py::test_deep_gemm_in_subprocess[env2] SKIP (https://nvbugs/5766853) -test_e2e.py::test_openai_responses SKIP (https://nvbugs/5804146) triton_server/test_triton.py::test_gpt_gather_logits[gpt-gather-logits] SKIP (https://nvbugs/5766960) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=2] SKIP (https://nvbugs/5596337) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ngram SKIP (https://nvbugs/5768068) diff --git a/tests/unittest/llmapi/apps/_test_openai_responses.py b/tests/unittest/llmapi/apps/_test_openai_responses.py index 08b53490b15f..67ae21cd913f 100644 --- a/tests/unittest/llmapi/apps/_test_openai_responses.py +++ b/tests/unittest/llmapi/apps/_test_openai_responses.py @@ -13,10 +13,7 @@ @pytest.fixture(scope="module", - params=[ - "gpt_oss/gpt-oss-20b", "DeepSeek-R1-Distill-Qwen-1.5B", - "Qwen3/Qwen3-0.6B" - ]) + params=["gpt_oss/gpt-oss-20b", "Qwen3/Qwen3-0.6B"]) def model(request): return request.param @@ -35,10 +32,6 @@ def server(model: str, num_postprocess_workers: int): args = ["--num_postprocess_workers", f"{num_postprocess_workers}"] if model.startswith("Qwen3"): args.extend(["--reasoning_parser", "qwen3"]) - elif model.startswith("DeepSeek-R1"): - args.extend(["--reasoning_parser", "deepseek-r1"]) - - if not model.startswith("gpt_oss"): args.extend(["--tool_parser", "qwen3"]) with RemoteOpenAIServer(model_path, args) as remote_server: @@ -167,8 +160,8 @@ def get_current_weather(location: str, format: str = "celsius") -> dict: @pytest.mark.asyncio(loop_scope="module") async def test_tool_calls(client: openai.AsyncOpenAI, model: str): - if model.startswith("DeepSeek-R1"): - pytest.skip("DeepSeek-R1 does not support tool calls") + if model.startswith("Qwen3"): + pytest.skip("Qwen3 tool call is not stable") tool_get_current_weather = { "type": "function", @@ -241,8 +234,8 @@ async def test_streaming(client: openai.AsyncOpenAI, model: str): @pytest.mark.asyncio(loop_scope="module") async def test_streaming_tool_call(client: openai.AsyncOpenAI, model: str): - if model.startswith("DeepSeek-R1"): - pytest.skip("DeepSeek-R1 does not support tool calls") + if model.startswith("Qwen3"): + pytest.skip("Qwen3 tool call is not stable") tool_get_current_weather = { "type": "function", From da7d1d3774be7763af03daf16f41a530998f692e Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 25 Jan 2026 03:41:35 +0000 Subject: [PATCH 060/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/auto_deploy/poetry.lock | 6 +++--- security_scanning/examples/models/contrib/grok/poetry.lock | 6 +++--- security_scanning/examples/models/contrib/stdit/poetry.lock | 6 +++--- security_scanning/examples/models/core/gemma/poetry.lock | 6 +++--- security_scanning/examples/models/core/mllama/poetry.lock | 6 +++--- security_scanning/examples/models/core/qwen/poetry.lock | 6 +++--- .../examples/models/core/recurrentgemma/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 6 +++--- 9 files changed, 26 insertions(+), 26 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index e2937a77be58..b027bdcc0a90 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -4167,14 +4167,14 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.3.2" +version = "0.3.4" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.3.2-py3-none-any.whl", hash = "sha256:817abc6a89e47242a349b5d100cbd244301690d6d8d2ec6335f26fe6640a6315"}, - {file = "wcwidth-0.3.2.tar.gz", hash = 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terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.3.2-py3-none-any.whl", hash = "sha256:817abc6a89e47242a349b5d100cbd244301690d6d8d2ec6335f26fe6640a6315"}, - {file = "wcwidth-0.3.2.tar.gz", hash = "sha256:d469b3059dab6b1077def5923ed0a8bf5738bd4a1a87f686d5e2de455354c4ad"}, + {file = "wcwidth-0.3.4-py3-none-any.whl", hash = "sha256:28bd19308af9e09e4132840740b99e39c04db5a8b8273644ee5eaa4baf928643"}, + {file = "wcwidth-0.3.4.tar.gz", hash = "sha256:73d05c07549b4639b7956cd65a9edd35245d8700c0d3467fa723ad4b16dfe815"}, ] [[package]] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index c307c5ee41f9..243761206703 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -2342,14 +2342,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.2.0" +version = "14.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, - {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, + {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, + {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index e74b2a38612e..ada722fb349e 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1462,14 +1462,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.2.0" +version = "14.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, - {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, + {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, + {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 4f40082ca768..af8ecbe3fda6 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -2706,15 +2706,15 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.2.0" +version = "14.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] markers = "sys_platform != \"emscripten\"" files = [ - {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, - {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, + {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, + {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index e8516bcc4655..65e9b87e87bf 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -2204,14 +2204,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.2.0" +version = "14.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, - {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, + {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, + {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index f2787a30fd68..0396eb0e3328 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "02cb227337dfd873a681329c1b2b8f9a7481bcd8", - "timestamp": "2026-01-24T04:01:08Z" + "commit_hash": "fe27e9a9cbcb002ada00a21b7885735826ea5965", + "timestamp": "2026-01-25T03:15:02Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index de1c0fad0474..483547e3d96f 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -5303,14 +5303,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.2.0" +version = "14.3.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.2.0-py3-none-any.whl", hash = "sha256:76bc51fe2e57d2b1be1f96c524b890b816e334ab4c1e45888799bfaab0021edd"}, - {file = "rich-14.2.0.tar.gz", hash = "sha256:73ff50c7c0c1c77c8243079283f4edb376f0f6442433aecb8ce7e6d0b92d1fe4"}, + {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, + {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, ] [package.dependencies] From 6d6d0fb3380e6ba4144ee849692b7ca9322851b5 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 25 Jan 2026 04:26:42 +0000 Subject: [PATCH 061/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 0396eb0e3328..19a701729379 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "fe27e9a9cbcb002ada00a21b7885735826ea5965", - "timestamp": "2026-01-25T03:15:02Z" + "commit_hash": "da7d1d3774be7763af03daf16f41a530998f692e", + "timestamp": "2026-01-25T04:00:43Z" } From 829170a5eb77f670a7ccd8d16008028a1a1272b8 Mon Sep 17 00:00:00 2001 From: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> Date: Mon, 26 Jan 2026 01:10:33 +0800 Subject: [PATCH 062/241] [https://nvbugs/5779536][fix] Unwaive DeepSeekR1 nvfp4 pp4 mtp test case (#10902) Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f25aba65a3cc..fd4a0f075fb4 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -313,7 +313,6 @@ triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5 unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl_multi_gpu[MoEWeightLoadingMode.FUSED_GATE_UP_PROJ-DefaultMoeRoutingMethod-1] SKIP (https://nvbugs/5775256) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-3.1-8b-instruct-hf-fp8] SKIP (https://nvbugs/5769890) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[DeepSeek-V3-Lite-bf16] SKIP (https://nvbugs/5769890) -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_nvfp4_multi_gpus[throughput_pp4_mtp] SKIP (https://nvbugs/5779536) unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5831976) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) From f048aded156c157c729edefce0d5752313a296fc Mon Sep 17 00:00:00 2001 From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> Date: Mon, 26 Jan 2026 11:06:27 +0800 Subject: [PATCH 063/241] [https://nvbugs/5829097][fix] Re-init TRTLLM sampler to use sample stream in multi-stream cases. (cherry-pick from https://github.com/NVIDIA/TensorRT-LLM/pull/10918) (#10971) Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/py_executor.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor.py b/tensorrt_llm/_torch/pyexecutor/py_executor.py index 94fa5020ca7f..757f1cd6dc45 100644 --- a/tensorrt_llm/_torch/pyexecutor/py_executor.py +++ b/tensorrt_llm/_torch/pyexecutor/py_executor.py @@ -54,7 +54,7 @@ from .model_engine import ModelEngine from .resource_manager import ResourceManager from .sampler import (AsyncWorkerMixin, Sampler, SamplerEvent, SampleState, - SampleStateTensors) + SampleStateTensors, TRTLLMSampler) from .scheduler import (RequestScheduler, ScheduledRequests, SerializableSchedulerOutput) @@ -252,9 +252,19 @@ def __init__(self, self.send_schedule_handler = None self.pp_scheduler_max_retry_count = int( os.environ.get("TLLM_PP_SCHEDULER_MAX_RETRY_COUNT", 10)) + self.pp_multi_stream_sample = os.environ.get( + "TRTLLM_PP_MULTI_STREAM_SAMPLE", "1") == "1" self.sample_stream = torch.cuda.Stream() self.start_sample_event = torch.cuda.Event() self.finish_sample_event = torch.cuda.Event() + if (self.dist.pp_size > 1 and self.pp_multi_stream_sample + and isinstance(self.sampler, TRTLLMSampler)): + # TRTLLM sampler uses default stream for store and algorithms. + # To enable multi-stream sampling, we need to re-initialize + # the sampler store and algorithms on the sample stream. + with torch.cuda.stream(self.sample_stream): + self.sampler._initialize_store() + self.sampler._instantiate_algorithms() # Set of request IDs that are currently in flight across all micro batches. # The scheduler will avoid scheduling requests that are already in flight. @@ -1094,8 +1104,7 @@ def _executor_loop_pp(self): guided_decoder_failed_requests = self.guided_decoder.execute( batch_outputs['logits']) - if os.environ.get("TRTLLM_PP_MULTI_STREAM_SAMPLE", - "1") == "1": + if self.pp_multi_stream_sample: # Wait for the previous sample to finish. self.finish_sample_event.wait() # Copy the batch outputs as sampler inputs From 8f4b8f2cc10506913b79ab44524b446aa02193db Mon Sep 17 00:00:00 2001 From: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> Date: Mon, 26 Jan 2026 12:01:42 +0800 Subject: [PATCH 064/241] [https://nvbugs/5769890][fix] enable system memory to transfer active message in NIXL ucx (cherry-pick from https://github.com/NVIDIA/TensorRT-LLM/pull/10602) (#10914) Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com> Signed-off-by: Yuxian Qiu <142763828+yuxianq@users.noreply.github.com> --- .../defs/accuracy/test_disaggregated_serving.py | 11 +++++++++++ .../defs/disaggregated/test_disaggregated.py | 10 +++++++++- .../disaggregated/test_disaggregated_single_gpu.py | 13 +++++++++++-- tests/integration/test_lists/waives.txt | 2 -- 4 files changed, 31 insertions(+), 5 deletions(-) diff --git a/tests/integration/defs/accuracy/test_disaggregated_serving.py b/tests/integration/defs/accuracy/test_disaggregated_serving.py index e2d19316e216..4261572a4de1 100644 --- a/tests/integration/defs/accuracy/test_disaggregated_serving.py +++ b/tests/integration/defs/accuracy/test_disaggregated_serving.py @@ -207,9 +207,16 @@ def _apply_perf_flags(cfg: Optional[Dict[str, Any]]): env["TRTLLM_USE_UCX_KVCACHE"] = "1" if enable_perf: env["TRTLLM_KVCACHE_TIME_OUTPUT_PATH"] = kv_cache_perf_dir + + cache_transceiver_config_backend = ctx_server_config.get( + "cache_transceiver_config", {}).get("backend", "DEFAULT") + if cache_transceiver_config_backend == "NIXL": + env["UCX_MM_ERROR_HANDLING"] = "y" gpu_range = range(current_gpu_offset, current_gpu_offset + ctx_total_gpus) env["CUDA_VISIBLE_DEVICES"] = ",".join(map(str, gpu_range)) + if not has_nvlink(): + env["UCX_TLS"] = "^cuda_ipc" current_gpu_offset += ctx_total_gpus ctx_server_args = ctx_args + [ @@ -230,6 +237,10 @@ def _apply_perf_flags(cfg: Optional[Dict[str, Any]]): env["TRTLLM_USE_UCX_KVCACHE"] = "1" if enable_perf: env["TRTLLM_KVCACHE_TIME_OUTPUT_PATH"] = kv_cache_perf_dir + cache_transceiver_config_backend = gen_server_config.get( + "cache_transceiver_config", {}).get("backend", "DEFAULT") + if cache_transceiver_config_backend == "NIXL": + env["UCX_MM_ERROR_HANDLING"] = "y" gpu_range = range(current_gpu_offset, current_gpu_offset + gen_total_gpus) env["CUDA_VISIBLE_DEVICES"] = ",".join(map(str, gpu_range)) diff --git a/tests/integration/defs/disaggregated/test_disaggregated.py b/tests/integration/defs/disaggregated/test_disaggregated.py index 86ba1c451774..023681c0ff90 100644 --- a/tests/integration/defs/disaggregated/test_disaggregated.py +++ b/tests/integration/defs/disaggregated/test_disaggregated.py @@ -365,8 +365,13 @@ def run_disaggregated_test(example_dir, """Run disaggregated test with given configuration.""" cleanup_output_files() run_env = env.copy() - run_env["UCX_TLS"] = "^ib" + # on some CI nodes , we set UCX_TLS to "^ib" to avoid the issue that IB equipped but not available. + # we set UCX_MM_ERROR_HANDLING to "y" to avoid the issue that NIXL cannot use IB or TCP for notify on some CI nodes, + # setting it to "y" will enable NIXL to use system memory for notify. + + run_env["UCX_TLS"] = "^ib" + run_env["UCX_MM_ERROR_HANDLING"] = "y" num_ranks, config_file = get_test_config(test_desc, example_dir, os.path.dirname(__file__)) @@ -1190,6 +1195,7 @@ def test_disaggregated_deepseek_v3_lite_fp8_nixl(disaggregated_test_root, env = llm_venv._new_env.copy() env["TRTLLM_USE_NIXL_KVCACHE"] = "1" env["UCX_TLS"] = "^ib" + env["UCX_MM_ERROR_HANDLING"] = "y" run_disaggregated_test(disaggregated_example_root, "deepseek_v3_lite_fp8_nixl", env=env, @@ -1497,6 +1503,7 @@ def run_disaggregated_benchmark(example_dir, """Run disaggregated test with given configuration.""" run_env = env.copy() run_env["UCX_TLS"] = "^ib" + run_env["UCX_MM_ERROR_HANDLING"] = "y" workers_cmd = [ 'mpirun', '--allow-run-as-root', '--oversubscribe', '-n', str(num_ranks), 'trtllm-serve', 'disaggregated_mpi_worker', '-c', @@ -1677,6 +1684,7 @@ def run_disaggregated_aiperf(config_file, cleanup_output_files() run_env = env.copy() run_env["UCX_TLS"] = "^ib" + run_env["UCX_MM_ERROR_HANDLING"] = "y" workers_cmd = [ 'mpirun', '--allow-run-as-root', '--oversubscribe', '-n', diff --git a/tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py b/tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py index 4e146f3df0e0..1d10ead5f826 100644 --- a/tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py +++ b/tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py @@ -184,7 +184,11 @@ def verify_disaggregated(model, generation_overlap, enable_cuda_graph, prompt, port_name = mpi_publish_name() - with MPIPoolExecutor(max_workers=2, env={"UCX_TLS": "^ib"}) as executor: + with MPIPoolExecutor(max_workers=2, + env={ + "UCX_TLS": "^ib", + "UCX_MM_ERROR_HANDLING": "y" + }) as executor: futures = [] try: for worker_arg in worker_args: @@ -330,7 +334,11 @@ def test_disaggregated_llama_context_capacity(model, enable_cuda_graph, prompt = "European Union is a political and economic union of 27 countries. The European Union is headquartered in Brussels, Belgium. The first president of the European Union was Jean-Claude Juncker. The current president is Ursula von der Leyen. The European Union is a major economic and political entity." - with MPIPoolExecutor(max_workers=2, env={"UCX_TLS": "^ib"}) as executor: + with MPIPoolExecutor(max_workers=2, + env={ + "UCX_TLS": "^ib", + "UCX_MM_ERROR_HANDLING": "y" + }) as executor: futures = [] try: for worker_arg in worker_args: @@ -440,6 +448,7 @@ def test_disaggregated_spec_dec_batch_slot_limit(model, spec_dec_model_path, with MPIPoolExecutor(max_workers=2, env={ "UCX_TLS": "^ib", + "UCX_MM_ERROR_HANDLING": "y", "OMPI_MCA_rmaps_base_oversubscribe": "1" }, mpi_info=mpi_info) as executor: diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index fd4a0f075fb4..a6c1bb652256 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -311,8 +311,6 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[throughput_laten triton_server/test_triton.py::test_llava_onevision[llava_onevision] SKIP (https://nvbugs/5775205) triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5775223) unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl_multi_gpu[MoEWeightLoadingMode.FUSED_GATE_UP_PROJ-DefaultMoeRoutingMethod-1] SKIP (https://nvbugs/5775256) -disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-3.1-8b-instruct-hf-fp8] SKIP (https://nvbugs/5769890) -disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[DeepSeek-V3-Lite-bf16] SKIP (https://nvbugs/5769890) unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5831976) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) From 453b7d18c2df61cf4cf01e23b293985aae4e9456 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 26 Jan 2026 04:34:19 +0000 Subject: [PATCH 065/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 8 +- .../examples/auto_deploy/poetry.lock | 308 +++++++++--------- .../examples/draft_target_model/poetry.lock | 294 ++++++++--------- security_scanning/examples/eagle/poetry.lock | 294 ++++++++--------- .../llm-eval/lm-eval-harness/poetry.lock | 302 ++++++++--------- .../examples/lookahead/poetry.lock | 294 ++++++++--------- security_scanning/examples/medusa/poetry.lock | 294 ++++++++--------- .../models/contrib/baichuan/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/bloom/poetry.lock | 294 ++++++++--------- .../models/contrib/chatglm-6b/poetry.lock | 294 ++++++++--------- .../models/contrib/chatglm2-6b/poetry.lock | 294 ++++++++--------- .../contrib/chatglm3-6b-32k/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/dbrx/poetry.lock | 294 ++++++++--------- .../models/contrib/deepseek_v1/poetry.lock | 294 ++++++++--------- .../models/contrib/deepseek_v2/poetry.lock | 294 ++++++++--------- .../models/contrib/falcon/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/gptj/poetry.lock | 294 ++++++++--------- .../models/contrib/gptneox/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/grok/poetry.lock | 302 ++++++++--------- .../models/contrib/hyperclovax/poetry.lock | 8 +- .../models/contrib/internlm/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/jais/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/mpt/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/opt/poetry.lock | 294 ++++++++--------- .../models/contrib/skywork/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/smaug/poetry.lock | 294 ++++++++--------- .../examples/models/contrib/stdit/poetry.lock | 22 +- .../examples/models/core/commandr/poetry.lock | 294 ++++++++--------- .../examples/models/core/gemma/poetry.lock | 302 ++++++++--------- .../examples/models/core/glm-4-9b/poetry.lock | 294 ++++++++--------- .../examples/models/core/gpt/poetry.lock | 294 ++++++++--------- .../examples/models/core/llama/poetry.lock | 294 ++++++++--------- .../examples/models/core/mamba/poetry.lock | 294 ++++++++--------- .../examples/models/core/mixtral/poetry.lock | 8 +- .../examples/models/core/mllama/poetry.lock | 8 +- .../examples/models/core/nemotron/poetry.lock | 294 ++++++++--------- .../examples/models/core/phi/poetry.lock | 294 ++++++++--------- .../examples/models/core/qwen/poetry.lock | 294 ++++++++--------- 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11f2081d86815a68baf9fffe26022fb4701c35f6 Mon Sep 17 00:00:00 2001 From: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> Date: Mon, 26 Jan 2026 13:54:54 +0800 Subject: [PATCH 066/241] [None][feat] Cherry-pick #10335: Use XQA JIT impl by default and mitigate perf loss with sliding window (#10954) Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> --- cpp/kernels/xqa/gen_cubins.py | 10 ++- cpp/kernels/xqa/mha.cu | 89 +++++++++++++++---- .../decoderXQARunner.cpp | 22 +---- 3 files changed, 79 insertions(+), 42 deletions(-) diff --git a/cpp/kernels/xqa/gen_cubins.py b/cpp/kernels/xqa/gen_cubins.py index a345861fb70a..9230cf94cfd9 100755 --- a/cpp/kernels/xqa/gen_cubins.py +++ b/cpp/kernels/xqa/gen_cubins.py @@ -89,7 +89,8 @@ #include "tensorrt_llm/common/config.h" -TRTLLM_NAMESPACE_BEGIN +namespace tensorrt_llm +{ namespace kernels { // clang-format off @@ -98,7 +99,7 @@ cpp_file_suffex_text = R""" // clang-format on } // namespace kernels -TRTLLM_NAMESPACE_END +} """ cubin_meta_info_struct_prefix_text = R""" @@ -438,8 +439,9 @@ def generate_header_file_contents( CompileMacroOption('HEAD_ELEMS', 'd', [128]), CompileMacroOption('BEAM_WIDTH', 'beam', [1]), CompileMacroOption('CACHE_ELEM_ENUM', 'kvt', [0, 1, 2]), - CompileMacroOption('TOKENS_PER_PAGE', 'pagedKV', - [0, 64, 128]), # 0 denotes contiguous kv cache. + CompileMacroOption( + 'TOKENS_PER_PAGE', 'pagedKV', + [0, 32, 64, 128]), # 0 denotes contiguous kv cache. CompileMacroOption('HEAD_GRP_SIZE', 'nqpkv', [0]), CompileMacroOption('M_TILESIZE', 'm', [16, 32]), ]] diff --git a/cpp/kernels/xqa/mha.cu b/cpp/kernels/xqa/mha.cu index 5881a93fc4fe..e215cb172dbd 100644 --- a/cpp/kernels/xqa/mha.cu +++ b/cpp/kernels/xqa/mha.cu @@ -465,13 +465,10 @@ using WarpAcc = WarpAccT; #if SPEC_DEC #define MMAS_N_PER_MASK 2 -__device__ inline void applyMaskFromInput(Warp const& warp, WarpAcc& acc, MaskType const* mask, uint32_t rowOffset, - uint32_t nbValidCols, uint32_t qSeqLen, uint32_t actualQSeqLen, uint32_t headGrpSize #if SLIDING_WINDOW && !IS_SPEC_DEC_TREE - , - int32_t tok0WinBeg, uint32_t seqIter, uint32_t const cacheSeqLen, uint32_t const warpTileTokenBeg -#endif -) +__device__ inline void applyMaskFromInputSlidingAndSpecDec(Warp const& warp, WarpAcc& acc, MaskType const* mask, + uint32_t rowOffset, uint32_t nbValidCols, uint32_t qSeqLen, uint32_t actualQSeqLen, uint32_t headGrpSize, + int32_t tok0WinBeg, uint32_t seqIter, uint32_t const cacheSeqLen, uint32_t const warpTileTokenBeg) { uint32_t const idxInQuad = laneId() % 4; uint32_t const idxQuad = laneId() / 4; @@ -479,7 +476,6 @@ __device__ inline void applyMaskFromInput(Warp const& warp, WarpAcc& acc, MaskTy uint32_t const nbPackedMasksPerRow = divUp(qSeqLen, 32u) * 2u; uint16_t const* uint16Mask = reinterpret_cast(mask); constexpr uint64_t fullMask = ~uint64_t{0}; -#if SLIDING_WINDOW && !IS_SPEC_DEC_TREE Range const tileRange = {warpTileTokenBeg, warpTileTokenBeg + warpTile.x}; Range const maxMaskOutRange = {0, mha::max(0, tok0WinBeg) + (nbValidRows / MMAS_N_PER_MASK - 1)}; bool const ctaNeedBegMask = tileRange.beg < maxMaskOutRange.end; @@ -487,11 +483,6 @@ __device__ inline void applyMaskFromInput(Warp const& warp, WarpAcc& acc, MaskTy int32_t const tok0NbMaskOut = int32_t(tok0WinBeg) - int32_t(warpTileTokenBeg); uint32_t const nbSeqItersWithoutSpecDecMask = (cacheSeqLen - actualQSeqLen) / ctaTile.x; bool const ctaNeedSpecDecMask = (seqIter >= nbSeqItersWithoutSpecDecMask); -#else - constexpr bool ctaNeedBegMask = false; - bool const ctaNeedSpecDecMask = true; - int32_t const tok0NbMaskOut = -2147483648; -#endif bool const needMask = ctaNeedBegMask || ctaNeedSpecDecMask; if (!needMask) @@ -559,6 +550,61 @@ __device__ inline void applyMaskFromInput(Warp const& warp, WarpAcc& acc, MaskTy } #endif +__device__ inline void applyMaskFromInput(Warp const& warp, WarpAcc& acc, MaskType const* mask, uint32_t rowOffset, + uint32_t nbValidCols, uint32_t qSeqLen, uint32_t actualQSeqLen, uint32_t headGrpSize) +{ + uint32_t const idxInQuad = laneId() % 4; + uint32_t const idxQuad = laneId() / 4; + // Packed mask is aligned with 32 bits (2 uint16_t). + uint32_t const nbPackedMasksPerRow = divUp(qSeqLen, 32u) * 2u; + uint16_t const* uint16Mask = reinterpret_cast(mask); +#pragma unroll + for (uint32_t m = 0; m < acc.rows; m++) + { +#pragma unroll + for (uint32_t i = 0; i < InstAcc::rows; i++) + { + uint32_t const tokenRow = min((rowOffset + instM * m + idxQuad + i * 8) / headGrpSize, actualQSeqLen - 1); +#pragma unroll + for (uint32_t mask_n = 0; mask_n < acc.cols / MMAS_N_PER_MASK; mask_n++) + { + uint32_t const firstCol = instN * mask_n * MMAS_N_PER_MASK + InstAcc::cols * idxInQuad; + uint32_t const lastCol = firstCol + instN * (MMAS_N_PER_MASK - 1) + InstAcc::cols - 1; + uint32_t const maskPos0 = firstCol + actualQSeqLen < nbValidCols + ? 0u + : min(firstCol + actualQSeqLen - nbValidCols, actualQSeqLen - 1); + uint32_t const maskPos1 = lastCol + actualQSeqLen < nbValidCols + ? 0u + : min(lastCol + actualQSeqLen - nbValidCols, actualQSeqLen - 1); + uint32_t packedMask = 0u; + uint32_t const maskPosStart = (maskPos0 / 16) * 16; + reinterpret_cast(&packedMask)[0] + = uint16Mask[tokenRow * nbPackedMasksPerRow + (maskPos0 / 16)]; + reinterpret_cast(&packedMask)[1] + = uint16Mask[tokenRow * nbPackedMasksPerRow + (maskPos1 / 16)]; +#pragma unroll + for (uint32_t nj = 0; nj < MMAS_N_PER_MASK; nj++) + { +#pragma unroll + for (uint32_t j = 0; j < InstAcc::cols; j++) + { + uint32_t const n = (mask_n * MMAS_N_PER_MASK + nj); + uint32_t const col = instN * n + InstAcc::cols * idxInQuad + j; + // bool const maskFlag = col + qSeqLen < nbValidCols ? true : mask[tokenRow * qSeqLen + (col + + // qSeqLen - nbValidCols)]; + bool const maskFlag = col + actualQSeqLen < nbValidCols + ? true + : packedMask & (1u << ((col + actualQSeqLen - nbValidCols) - maskPosStart)); + acc(m, n)(i, j) = maskFlag && col < nbValidCols ? acc(m, n)(i, j) : safeInitRowMax; + } + } + } + } + } +} + +#endif + __device__ inline QuadRegRowMax warpTileOnlineSoftmax(Warp const& warp, QuadRegRowMax const& rowMaxHint, WarpAcc& acc) { QuadRegRowMax rowMax = rowMaxHint; @@ -1655,7 +1701,7 @@ CUBIN_EXPORT __global__ uint32_t const tok0SeqLen = cacheSeqLen - actualQSeqLen + 1 + idxHeadTokenInGrp; // ctaTokOffset; int32_t const tok0WinBeg = int32_t(tok0SeqLen) - int32_t(slidingWinSize); uint32_t const nbTotalSkipTokens = mha::max(0, tok0WinBeg); - + bool const rtIsReallySliding = (cacheSeqLen + actualQSeqLen > slidingWinSize); #elif SLIDING_WINDOW bool const rtIsReallySliding = (cacheSeqLen > slidingWinSize); assert(!SPEC_DEC || !rtIsReallySliding); @@ -1673,7 +1719,8 @@ CUBIN_EXPORT __global__ uint32_t const nbSeqIters = useKVCache ? divUp(cacheSeqLen, ctaTile.x) : 0; #if SLIDING_WINDOW && SPEC_DEC && !IS_SPEC_DEC_TREE - uint32_t const nbSeqItersWithoutMask = nbSkipLeadingTiles; + uint32_t const nbSeqItersWithoutMask + = rtIsReallySliding ? nbSkipLeadingTiles : (cacheSeqLen - actualQSeqLen) / ctaTile.x; #elif SPEC_DEC uint32_t const nbSeqItersWithoutMask = (cacheSeqLen - actualQSeqLen) / ctaTile.x; #endif @@ -1960,12 +2007,18 @@ CUBIN_EXPORT __global__ if (seqIter >= nbSeqItersWithoutMask) { uint32_t const nbValidCols = (warpTileTokenBeg < cacheSeqLen ? cacheSeqLen - warpTileTokenBeg : 0U); - applyMaskFromInput(warp, acc, mask, idxHeadTokenInGrp, nbValidCols, qSeqLen, actualQSeqLen, headGrpSize #if SLIDING_WINDOW && !IS_SPEC_DEC_TREE - , - tok0WinBeg, seqIter, cacheSeqLen, warpTileTokenBeg + if (rtIsReallySliding) + { + applyMaskFromInputSlidingAndSpecDec(warp, acc, mask, idxHeadTokenInGrp, nbValidCols, qSeqLen, + actualQSeqLen, headGrpSize, tok0WinBeg, seqIter, cacheSeqLen, warpTileTokenBeg); + } + else #endif - ); + { + applyMaskFromInput( + warp, acc, mask, idxHeadTokenInGrp, nbValidCols, qSeqLen, actualQSeqLen, headGrpSize); + } } #else bool const isFirstIter = (seqIter == nbSkipLeadingTiles); diff --git a/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQARunner.cpp b/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQARunner.cpp index 165ffc284845..d9dc79662f61 100644 --- a/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQARunner.cpp +++ b/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQARunner.cpp @@ -84,26 +84,8 @@ DecoderXQAImpl* DecoderXQARunner::getImplFromXQAParams(XQAParams const& xqaParam } else { - if (xqaParams.multi_query_tokens) - { - // Some multi_query kernels are not ported to JIT yet. - auto const grpSize = xqaParams.num_q_heads / xqaParams.num_kv_heads; - // Hopper XQA supports spec dec with JIT, but only for E4M3 kv cache data type. Only allow 64%grpSize==0 for - // now. - bool const supportedByHopperXqa - = (smVersion == 90 && xqaParams.kv_cache_data_type == XQADataType::DATA_TYPE_E4M3 && grpSize <= 64); - bool const supportedBySm120Mla = (smVersion == 120 && xqaParams.isMLA() - && xqaParams.kv_cache_data_type == XQADataType::DATA_TYPE_E4M3); - bool const supportedByAmpereXqa = (!xqaParams.isMLA() && (64 % grpSize == 0)); - - return (supportedByHopperXqa || supportedBySm120Mla || supportedByAmpereXqa) ? mJITImpl.get() - : mPrecompiledImpl.get(); - } - else - { - // regular decoding kernels uses JIT by default - return mJITImpl.get(); - } + // uses JIT by default + return mJITImpl.get(); } } From 57a4fb9a7c154ad88bfd10ccc09918d2ab7edae0 Mon Sep 17 00:00:00 2001 From: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> Date: Mon, 26 Jan 2026 14:49:21 +0800 Subject: [PATCH 067/241] [#10614][fix] gpt_oss first iteration streaming in trtllm-serve (#10884) Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> --- tensorrt_llm/serve/harmony_adapter.py | 8 +++--- tensorrt_llm/serve/openai_server.py | 9 +++--- tensorrt_llm/serve/postprocess_handlers.py | 2 ++ .../llmapi/apps/_test_openai_chat_harmony.py | 28 ++++++++++++++----- .../apps/test_harmony_channel_validation.py | 2 ++ 5 files changed, 34 insertions(+), 15 deletions(-) diff --git a/tensorrt_llm/serve/harmony_adapter.py b/tensorrt_llm/serve/harmony_adapter.py index 1ba163581edc..f9e168a3942d 100644 --- a/tensorrt_llm/serve/harmony_adapter.py +++ b/tensorrt_llm/serve/harmony_adapter.py @@ -1521,10 +1521,10 @@ def _is_tool_call_allowed(self, tool_call: dict[str, Any], return True -_SERVE_HARMONY_ADAPTER: HarmonyAdapter = None +_SERVE_HARMONY_ADAPTER: HarmonyAdapter | None = None -def get_harmony_adapter(): +def get_harmony_adapter() -> HarmonyAdapter: global _SERVE_HARMONY_ADAPTER if _SERVE_HARMONY_ADAPTER is None: _SERVE_HARMONY_ADAPTER = HarmonyAdapter() @@ -1535,8 +1535,8 @@ def get_harmony_adapter(): def handle_streaming_response(tools: List[ChatCompletionToolsParam], tool_choice: str, result: GenerationResult, model: str, request_id: str, done: bool, - num_prompt_tokens: int) -> List[str]: - first_iteration = True + num_prompt_tokens: int, + first_iteration: bool) -> List[str]: output = result.outputs[0] # Convert tools to dictionary format for harmony adapter (standard pattern) diff --git a/tensorrt_llm/serve/openai_server.py b/tensorrt_llm/serve/openai_server.py index afb97aa6f0c6..264f87bd0f71 100644 --- a/tensorrt_llm/serve/openai_server.py +++ b/tensorrt_llm/serve/openai_server.py @@ -870,11 +870,12 @@ async def create_harmony_response( return chat_response async def create_streaming_generator(promise: RequestOutput, postproc_params: PostprocParams): - if not self.postproc_worker_enabled: - post_processor, args = postproc_params.post_processor, postproc_params.postproc_args - async for res in promise: - pp_results = res.outputs[0]._postprocess_result if self.postproc_worker_enabled else post_processor(res, args) + if not self.postproc_worker_enabled: + post_processor, args = postproc_params.post_processor, postproc_params.postproc_args + pp_results = post_processor(res, args) + else: + pp_results = res.outputs[0]._postprocess_result for pp_res in pp_results: yield pp_res diff --git a/tensorrt_llm/serve/postprocess_handlers.py b/tensorrt_llm/serve/postprocess_handlers.py index 01ffb648e27d..a82a06b079e6 100644 --- a/tensorrt_llm/serve/postprocess_handlers.py +++ b/tensorrt_llm/serve/postprocess_handlers.py @@ -547,7 +547,9 @@ def chat_harmony_streaming_post_processor( request_id=args.request_id, done=rsp._done, num_prompt_tokens=args.num_prompt_tokens, + first_iteration=args.first_iteration, ) + args.first_iteration = False return response diff --git a/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py b/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py index fc550f082472..5eadaf88ae79 100644 --- a/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py +++ b/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py @@ -161,15 +161,29 @@ async def test_streaming(client: openai.AsyncOpenAI, model: str): }], stream=True, ) - collected_chunks = [] collected_messages = [] + first_iteration = True async for chunk in response: - # Last streaming response will only contains usage info - if len(chunk.choices) <= 0: - continue - - collected_chunks.append(chunk) - collected_messages.append(chunk.choices[0].delta) + if chunk.choices: + delta = chunk.choices[0].delta + if first_iteration: + assert delta.role == "assistant", ValueError( + "Expected role 'assistant' for first iteration") + collected_messages.append(delta) + first_iteration = False + else: + assert delta.role is None, ValueError( + "Expected no role except for first iteration") + collected_messages.append(delta) + else: + assert hasattr(chunk, "usage"), ValueError( + "Expected usage info in last streaming response") + assert chunk.usage.prompt_tokens is not None + assert chunk.usage.completion_tokens is not None + assert chunk.usage.total_tokens is not None + assert chunk.usage.prompt_tokens > 0 + assert chunk.usage.completion_tokens > 0 + assert chunk.usage.total_tokens > 0 full_response = "".join([ m.content for m in collected_messages diff --git a/tests/unittest/llmapi/apps/test_harmony_channel_validation.py b/tests/unittest/llmapi/apps/test_harmony_channel_validation.py index 6e6046a3ac25..bb16cb4bc974 100644 --- a/tests/unittest/llmapi/apps/test_harmony_channel_validation.py +++ b/tests/unittest/llmapi/apps/test_harmony_channel_validation.py @@ -362,6 +362,7 @@ def test_handle_streaming_response_aborts_on_invalid_channels(self, mock_result) request_id=request_id, done=False, # Not done yet, still streaming num_prompt_tokens=10, + first_iteration=True, ) # CRITICAL ASSERTION: result.abort() should be called @@ -424,6 +425,7 @@ def test_handle_streaming_response_continues_on_valid_channels(self, mock_result request_id=request_id, done=False, num_prompt_tokens=10, + first_iteration=True, ) # CRITICAL ASSERTION: result.abort() should NOT be called From 4b319f0467152c58501e1cde47f803244893f33f Mon Sep 17 00:00:00 2001 From: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com> Date: Mon, 26 Jan 2026 16:42:33 +0800 Subject: [PATCH 068/241] [TRTLLM-9581][infra] Use /home/scratch.trt_llm_data_ci in computelab (#10783) Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com> Signed-off-by: Yanchao Lu Co-authored-by: Yanchao Lu --- .../docker-compose.override-example.yml | 2 +- docs/source/installation/linux.md | 2 +- examples/llm-api/llm_sparse_attention.py | 2 +- examples/models/contrib/bloom/README.md | 4 ++-- examples/models/core/bert/utils.py | 4 ++-- jenkins/L0_Test.groovy | 4 ++-- tests/integration/defs/conftest.py | 2 +- tests/microbenchmarks/README.md | 2 +- tests/scripts/perf-sanity/benchmark-serve.sh | 4 ++-- .../perf-sanity/run_benchmark_serve.py | 2 +- tests/test_common/llm_data.py | 4 ++-- .../unittest/others/test_llama_conversion.sh | 22 +++++++++---------- 12 files changed, 27 insertions(+), 27 deletions(-) diff --git a/.devcontainer/docker-compose.override-example.yml b/.devcontainer/docker-compose.override-example.yml index 67f4f3d0c479..a0f46a4324e6 100644 --- a/.devcontainer/docker-compose.override-example.yml +++ b/.devcontainer/docker-compose.override-example.yml @@ -5,4 +5,4 @@ services: volumes: # Uncomment the following lines to enable # # Mount TRTLLM data volume: - # - /home/scratch.trt_llm_data/:/home/scratch.trt_llm_data/:ro + # - /home/scratch.trt_llm_data_ci/:/home/scratch.trt_llm_data_ci/:ro diff --git a/docs/source/installation/linux.md b/docs/source/installation/linux.md index d91347a8e41a..c9c9cc508461 100644 --- a/docs/source/installation/linux.md +++ b/docs/source/installation/linux.md @@ -16,7 +16,7 @@ driver version. For additional information, refer to the [CUDA Forward Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/forward-compatibility.html). ```bash - # By default, PyTorch CUDA 12.8 package is installed. Since PyTorch CUDA 13.0 package to align with the CUDA version used for building TensorRT LLM wheels. + # By default, PyTorch CUDA 12.8 package is installed. Install PyTorch CUDA 13.0 package to align with the CUDA version used for building TensorRT LLM wheels. pip3 install torch==2.9.1 torchvision --index-url https://download.pytorch.org/whl/cu130 sudo apt-get -y install libopenmpi-dev diff --git a/examples/llm-api/llm_sparse_attention.py b/examples/llm-api/llm_sparse_attention.py index 3ebe4dcb61a6..b1407e9561d7 100644 --- a/examples/llm-api/llm_sparse_attention.py +++ b/examples/llm-api/llm_sparse_attention.py @@ -37,7 +37,7 @@ def parse_arguments(): '--model_path', type=str, default= - "/home/scratch.trt_llm_data/llm-models/llama-3.1-model/Llama-3.1-8B-Instruct" + "/home/scratch.trt_llm_data_ci/llm-models/llama-3.1-model/Llama-3.1-8B-Instruct" ) parser.add_argument( '--input_file', diff --git a/examples/models/contrib/bloom/README.md b/examples/models/contrib/bloom/README.md index e0ab0ad6553c..4542d6147f6a 100644 --- a/examples/models/contrib/bloom/README.md +++ b/examples/models/contrib/bloom/README.md @@ -189,7 +189,7 @@ Note we use `--bin_model_dir` instead of `--model_dir` since SmoothQuant model n ``` # Quantize HF Bloom 3B into FP8 and export trtllm checkpoint -python ../../../quantization/quantize.py --model_dir /home/scratch.trt_llm_data/llm-models/bloom-3b \ +python ../../../quantization/quantize.py --model_dir /home/scratch.trt_llm_data_ci/llm-models/bloom-3b \ --dtype float16 \ --qformat fp8 \ --kv_cache_dtype fp8 \ @@ -230,7 +230,7 @@ mpirun -n 8 --allow-run-as-root \ --engine_dir ./bloom/176B/trt_engines/fp16/8-gpu/ python ../../../summarize.py --test_trt_llm \ - --hf_model_dir /home/scratch.trt_llm_data/llm-models/bloom-3b \ + --hf_model_dir /home/scratch.trt_llm_data_ci/llm-models/bloom-3b \ --data_type fp16 \ --engine_dir /tmp/bloom/3b/trt_engines/fp8/1-gpu/ ``` diff --git a/examples/models/core/bert/utils.py b/examples/models/core/bert/utils.py index 82bf5382aacf..b3714e523e87 100644 --- a/examples/models/core/bert/utils.py +++ b/examples/models/core/bert/utils.py @@ -18,7 +18,7 @@ # NOTE: This routine is copied from from tests/unittests/utils/llm_data.py def llm_models_root(check=False) -> Optional[Path]: - root = Path("/home/scratch.trt_llm_data/llm-models/") + root = Path("/home/scratch.trt_llm_data_ci/llm-models/") if "LLM_MODELS_ROOT" in os.environ: root = Path(os.environ.get("LLM_MODELS_ROOT")) @@ -28,7 +28,7 @@ def llm_models_root(check=False) -> Optional[Path]: if check: assert root.exists(), \ - "You shall set LLM_MODELS_ROOT env or be able to access /home/scratch.trt_llm_data to run this test" + "You shall set LLM_MODELS_ROOT env or be able to access /home/scratch.trt_llm_data_ci to run this test" return root if root.exists() else None diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index e8c1d3fe4f70..cb1b8f97ba1a 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -689,7 +689,7 @@ def runLLMTestlistWithAgent(pipeline, platform, testList, config=VANILLA_CONFIG, "--entrypoint=\"\" " + "--security-opt seccomp=unconfined " + "-u root:root " + - "-v /home/scratch.trt_llm_data:/scratch.trt_llm_data:ro " + + "-v /home/scratch.trt_llm_data_ci:/scratch.trt_llm_data:ro " + "-v /tmp/ccache:${CCACHE_DIR}:rw " + "-v /tmp/pipcache/http-v2:/root/.cache/pip/http-v2:rw " + "--cap-add=SYSLOG" @@ -871,7 +871,7 @@ def getMountListForSlurmTest(SlurmCluster cluster, boolean useSbatch = false) // data/cache mounts if (cluster.containerRuntime.toString() == "DOCKER") { mounts += [ - "/home/scratch.trt_llm_data:/scratch.trt_llm_data:ro", + "/home/scratch.trt_llm_data_ci:/scratch.trt_llm_data:ro", ] } else if (cluster.containerRuntime.toString() == "ENROOT") { if (!cluster.scratchPath) { diff --git a/tests/integration/defs/conftest.py b/tests/integration/defs/conftest.py index c06b0d18bc20..411c43179d06 100644 --- a/tests/integration/defs/conftest.py +++ b/tests/integration/defs/conftest.py @@ -83,7 +83,7 @@ def wget(url, out): def llm_models_root() -> str: """Return LLM_MODELS_ROOT path if it is set in env, assert when it's set but not a valid path.""" - root = Path("/home/scratch.trt_llm_data/llm-models/") + root = Path("/home/scratch.trt_llm_data_ci/llm-models/") if "LLM_MODELS_ROOT" in os.environ: root = Path(os.environ.get("LLM_MODELS_ROOT")) diff --git a/tests/microbenchmarks/README.md b/tests/microbenchmarks/README.md index 48bce4ec89b6..884e02004a85 100644 --- a/tests/microbenchmarks/README.md +++ b/tests/microbenchmarks/README.md @@ -16,7 +16,7 @@ python ./build_time_benchmark.py --model "TinyLlama/TinyLlama_v1.1" # no weights python ./build_time_benchmark.py --model "openai-community/gpt2" --load # with weights loading # example 3: benchmark a local download HF model -python ./build_time_benchmark.py --model /home/scratch.trt_llm_data/llm-models/falcon-rw-1b/ +python ./build_time_benchmark.py --model /home/scratch.trt_llm_data_ci/llm-models/falcon-rw-1b/ # example 4: benchmark one model with managed weights option, with verbose option python ./build_time_benchmark.py --model llama2-70b.TP4 --managed_weights -v diff --git a/tests/scripts/perf-sanity/benchmark-serve.sh b/tests/scripts/perf-sanity/benchmark-serve.sh index 4621f571e804..3d2d14284971 100755 --- a/tests/scripts/perf-sanity/benchmark-serve.sh +++ b/tests/scripts/perf-sanity/benchmark-serve.sh @@ -44,7 +44,7 @@ report_head() { run_benchmark_and_parse() { # Run benchmark and parse results in a single Docker container - mount=" -v /home/scratch.trt_llm_data:/home/scratch.trt_llm_data:ro -v $output_dir:$output_dir:rw -v $bench_dir:$bench_dir:ro" + mount=" -v /home/scratch.trt_llm_data_ci:/home/scratch.trt_llm_data_ci:ro -v $output_dir:$output_dir:rw -v $bench_dir:$bench_dir:ro" if [[ -n "$trtllm_dir" && -d "$trtllm_dir" ]]; then mount="$mount -v $trtllm_dir:$trtllm_dir:ro" fi @@ -56,7 +56,7 @@ run_benchmark_and_parse() { ${IMAGE} \ bash -c " echo 'Running benchmarks...' - export LLM_MODELS_ROOT=/home/scratch.trt_llm_data/llm-models + export LLM_MODELS_ROOT=/home/scratch.trt_llm_data_ci/llm-models # Handle trtllm_dir parameter if [[ -n \"$trtllm_dir\" && -d \"$trtllm_dir\" ]]; then diff --git a/tests/scripts/perf-sanity/run_benchmark_serve.py b/tests/scripts/perf-sanity/run_benchmark_serve.py index 627b5d980ddf..8636c815d0e9 100644 --- a/tests/scripts/perf-sanity/run_benchmark_serve.py +++ b/tests/scripts/perf-sanity/run_benchmark_serve.py @@ -166,7 +166,7 @@ def get_gpu_info() -> str: } LLM_MODELS_ROOT = os.environ.get('LLM_MODELS_ROOT', - '/home/scratch.trt_llm_data/llm-models') + '/home/scratch.trt_llm_data_ci/llm-models') # Model path mapping diff --git a/tests/test_common/llm_data.py b/tests/test_common/llm_data.py index 74fd310366e1..a58d7dc6c3a0 100644 --- a/tests/test_common/llm_data.py +++ b/tests/test_common/llm_data.py @@ -47,7 +47,7 @@ def llm_models_root(check: bool = False) -> Optional[Path]: - root = Path("/home/scratch.trt_llm_data/llm-models/") + root = Path("/home/scratch.trt_llm_data_ci/llm-models/") if "LLM_MODELS_ROOT" in os.environ: root = Path(os.environ.get("LLM_MODELS_ROOT")) @@ -57,7 +57,7 @@ def llm_models_root(check: bool = False) -> Optional[Path]: if check: assert root.exists(), ( - "You must set LLM_MODELS_ROOT env or be able to access /home/scratch.trt_llm_data to run this test" + "You must set LLM_MODELS_ROOT env or be able to access /home/scratch.trt_llm_data_ci to run this test" ) return root if root.exists() else None diff --git a/tests/unittest/others/test_llama_conversion.sh b/tests/unittest/others/test_llama_conversion.sh index 49140fc9b248..ed5883e78696 100755 --- a/tests/unittest/others/test_llama_conversion.sh +++ b/tests/unittest/others/test_llama_conversion.sh @@ -1,7 +1,7 @@ set -ex export PATH=~/.local/bin/:$PATH # trtllm-build is inside ~/.local/bin -export MODEL=/home/scratch.trt_llm_data/llm-models/llama-models/llama-7b-hf/ +export MODEL=/home/scratch.trt_llm_data_ci/llm-models/llama-models/llama-7b-hf/ test_fake_config() { python3 convert_checkpoint.py --dtype float16 --n_layer 2 --output_dir ./c-model/llama-7b/fp16 @@ -13,12 +13,12 @@ test_fake_config() { } test_meta() { - python convert_checkpoint.py --meta_ckpt_dir /home/scratch.trt_llm_data/llm-models/llama-models-v2/7B/ --output_dir ./tllm_checkpoint/llama-v2-7b-ckpt-from-meta --tp_size 2 + python convert_checkpoint.py --meta_ckpt_dir /home/scratch.trt_llm_data_ci/llm-models/llama-models-v2/7B/ --output_dir ./tllm_checkpoint/llama-v2-7b-ckpt-from-meta --tp_size 2 trtllm-build --checkpoint_dir ./tllm_checkpoint/llama-v2-7b-ckpt-from-meta --output_dir ./trt_engines/llama-v2-7b-engine-tp2-meta --gemm_plugin float16 mpirun -n 2 --allow-run-as-root \ python ../summarize.py --test_trt_llm \ --tensorrt_llm_rouge1_threshold 18 \ - --hf_model_dir /home/scratch.trt_llm_data/llm-models/llama-models-v2/llama-v2-7b-hf/ \ + --hf_model_dir /home/scratch.trt_llm_data_ci/llm-models/llama-models-v2/llama-v2-7b-hf/ \ --data_type fp16 \ --engine_dir ./trt_engines/llama-v2-7b-engine-tp2-meta \ --test_hf @@ -80,7 +80,7 @@ test_gptq() { python convert_checkpoint.py --model_dir ${MODEL} \ --output_dir ./tllm_checkpoint/2gpu_gptq \ --dtype float16 \ - --quant_ckpt_path /home/scratch.trt_llm_data/llm-models/int4-quantized-gptq-awq/llama-7b-4bit-gs128.safetensors \ + --quant_ckpt_path /home/scratch.trt_llm_data_ci/llm-models/int4-quantized-gptq-awq/llama-7b-4bit-gs128.safetensors \ --use_weight_only \ --weight_only_precision int4_gptq \ --per_group \ @@ -100,8 +100,8 @@ test_gptq() { } test_lora() { - lora_dir=/home/scratch.trt_llm_data/llm-models/llama-models-v2/chinese-llama-2-lora-13b - python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data/llm-models/llama-models-v2/llama-v2-13b-hf \ + lora_dir=/home/scratch.trt_llm_data_ci/llm-models/llama-models-v2/chinese-llama-2-lora-13b + python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data_ci/llm-models/llama-models-v2/llama-v2-13b-hf \ --output_dir ./tllm_checkpoint/2gpu_lora \ --dtype float16 \ --tp_size 2 @@ -126,7 +126,7 @@ test_lora() { } test_mixtral() { - python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data/llm-models/Mixtral-8x7B-v0.1/ \ + python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data_ci/llm-models/Mixtral-8x7B-v0.1/ \ --output_dir ./tllm_checkpoint/mixtral_2gpu \ --dtype float16 \ --pp_size 2 \ @@ -137,7 +137,7 @@ test_mixtral() { } test_long_alpaca_rope_scaling() { - python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data/llm-models/LongAlpaca-7B/ \ + python convert_checkpoint.py --model_dir /home/scratch.trt_llm_data_ci/llm-models/LongAlpaca-7B/ \ --output_dir ./tllm_checkpoint/long_alpaca_tp2 \ --dtype float16 \ --tp_size 2 @@ -152,12 +152,12 @@ test_long_alpaca_rope_scaling() { --max_input_length 32768 \ --input_file ../../tests/integration/test_input_files/pg64317_sanitized.txt \ --engine_dir ./trt_engines/long_alpaca_tp2 \ - --tokenizer_dir /home/scratch.trt_llm_data/llm-models/LongAlpaca-7B/ + --tokenizer_dir /home/scratch.trt_llm_data_ci/llm-models/LongAlpaca-7B/ } test_llava() { python ../llama/convert_checkpoint.py \ - --model_dir /home/scratch.trt_llm_data/llm-models/llava-1.5-7b-hf/ \ + --model_dir /home/scratch.trt_llm_data_ci/llm-models/llava-1.5-7b-hf/ \ --output_dir ./trt_checkpoint/llava-1gpu \ --dtype float16 @@ -172,7 +172,7 @@ test_llava() { } test_bfloat16() { - python convert_checkpoint.py --output_dir ./tllm_checkpoint/llama_v2-summarization/bfloat16/1-gpu --dtype=bfloat16 --tp_size=1 --pp_size=1 --model_dir /home/scratch.trt_llm_data/llm-models/llama-models-v2/llama-v2-7b-hf + python convert_checkpoint.py --output_dir ./tllm_checkpoint/llama_v2-summarization/bfloat16/1-gpu --dtype=bfloat16 --tp_size=1 --pp_size=1 --model_dir /home/scratch.trt_llm_data_ci/llm-models/llama-models-v2/llama-v2-7b-hf } test_all() From 15cb430ecd8bfab3e626f21e5960519de1ef2012 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Mon, 26 Jan 2026 17:03:58 +0800 Subject: [PATCH 069/241] [None][infra] Waive failed cases for release branch on 01/26 (#10999) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index a6c1bb652256..e534798a8ecd 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -374,3 +374,6 @@ llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/58 unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-DistributedTuningStrategy.INDEPENDENT] SKIP (https://nvbugs/5823194) accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5748664) perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwell-r1_fp4_v2_tep4_mtp3_8k1k] SKIP (https://nvbugs/5819053) +unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[limitinf-beta0-alpha0.1-RoutingGPTOSS-512-512-1] SKIP (https://nvbugs/5819042) +accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] SKIP (https://nvbugs/5839155) +disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-v3-8b-hf] SKIP (https://nvbugs/5839137) From cfddd21425c1fc82590adb7344b98cea3d4c5470 Mon Sep 17 00:00:00 2001 From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> Date: Mon, 26 Jan 2026 18:10:58 +0800 Subject: [PATCH 070/241] [https://nvbugs/5826689][fix] replace etcd3 with etcd-sdk-python (#10886) Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> --- requirements.txt | 2 +- tensorrt_llm/serve/cluster_storage.py | 64 +++++++++++++++++-- tensorrt_llm/serve/metadata_server.py | 7 +- .../disaggregated/test_remoteDictionary.py | 4 +- 4 files changed, 61 insertions(+), 16 deletions(-) diff --git a/requirements.txt b/requirements.txt index 689d8c2b9db9..a433c20fb961 100644 --- a/requirements.txt +++ b/requirements.txt @@ -63,7 +63,6 @@ nvtx matplotlib # FIXME: this is added to make nvtx happy meson ninja -etcd3 @ git+https://github.com/kragniz/python-etcd3.git@e58a899579ba416449c4e225b61f039457c8072a blake3 soundfile triton==3.5.1 @@ -78,3 +77,4 @@ apache-tvm-ffi==0.1.6 # used for reduce nvidia-cutlass-dsl host overhead torch-c-dlpack-ext==0.1.3 # used for reduce nvidia-cutlass-dsl host overhead, optional package for improved torch tensor calling perf mistral-common==1.8.6 torchao>=0.14.1 +etcd-sdk-python==0.0.7 diff --git a/tensorrt_llm/serve/cluster_storage.py b/tensorrt_llm/serve/cluster_storage.py index e6fe14eda440..d2ba0d911717 100644 --- a/tensorrt_llm/serve/cluster_storage.py +++ b/tensorrt_llm/serve/cluster_storage.py @@ -1,13 +1,16 @@ import abc import asyncio +import importlib.metadata as importlib_metadata +import importlib.util +import sys import time from dataclasses import dataclass from enum import IntEnum from functools import wraps from typing import Callable, Dict, List, Optional +from urllib.parse import urlparse import aiohttp -import etcd3 from fastapi import FastAPI from fastapi.responses import JSONResponse from pydantic import BaseModel @@ -15,6 +18,45 @@ from tensorrt_llm.logger import logger +def _find_module_file_in_distribution(dist, module_name: str): + module_path = module_name.replace(".", "/") + candidates = (f"{module_path}/__init__.py", f"{module_path}.py") + for dist_file in dist.files or []: + dist_file_str = str(dist_file) + if dist_file_str.endswith(candidates): + return dist.locate_file(dist_file) + return None + + +def load_module_from_distribution(dist_name: str, module_name: str): + dist = importlib_metadata.distribution(dist_name) + + module_file = _find_module_file_in_distribution(dist, module_name) + if not module_file: + raise ModuleNotFoundError( + f"{module_name} not found in distribution {dist_name}") + + load_name = module_name + spec = importlib.util.spec_from_file_location(load_name, module_file) + if spec is None or spec.loader is None: + raise ImportError( + f"Could not create a module spec for {module_name} in {dist_name}") + + module = importlib.util.module_from_spec(spec) + sys.modules[load_name] = module + try: + spec.loader.exec_module(module) + except Exception: + sys.modules.pop(load_name, None) + raise + return module + + +# pyectd and etcd-sdk-python both have package name "pyetcd", we need to find the correct one +# by distribution name +etcd3 = load_module_from_distribution("etcd-sdk-python", "pyetcd") + + class StorageItem(BaseModel): key: str value: Optional[str] = "" @@ -455,14 +497,25 @@ async def wrap(*args, **kwargs): class Etcd3ClusterStorage(ClusterStorage): + @staticmethod + def _connect(cluster_uri: str) -> etcd3.MultiEndpointEtcd3Client: + logger.info(f"Connecting to {cluster_uri}") + endpoints = [] + for url in cluster_uri.split(","): + parsed_url = urlparse(url) + endpoints.append( + etcd3.Endpoint(parsed_url.hostname, + parsed_url.port, + secure=False)) + return etcd3.MultiEndpointEtcd3Client(endpoints, timeout=10) + def __init__(self, cluster_uri: str, cluster_name: str, one_single_lease: bool = False, **kwargs): - cluster_uri = cluster_uri.replace("etcd://", "") - self._host, self._port = cluster_uri.rsplit(":", 1) - self._client = etcd3.client(self._host, self._port) + self._cluster_uri = cluster_uri + self._client = self._connect(self._cluster_uri) self._leases = {} self._instance_lease = None self._watch_handles = {} @@ -486,8 +539,7 @@ def client(self): return self._client def reconnect(self): - logger.info(f"Reconnecting to {self._host}:{self._port}") - self._client = etcd3.client(self._host, self._port) + self._client = self._connect(self._cluster_uri) async def start(self): # nothing to do diff --git a/tensorrt_llm/serve/metadata_server.py b/tensorrt_llm/serve/metadata_server.py index c4c046938d49..1453ca196e1e 100644 --- a/tensorrt_llm/serve/metadata_server.py +++ b/tensorrt_llm/serve/metadata_server.py @@ -3,12 +3,7 @@ from typing import Optional from tensorrt_llm.llmapi.disagg_utils import MetadataServerConfig -from tensorrt_llm.logger import logger - -try: - import etcd3 -except Exception as e: - logger.warning(f"etcd3 is not installed correctly: {e}") +from tensorrt_llm.serve.cluster_storage import etcd3 class RemoteDictionary(ABC): diff --git a/tests/unittest/disaggregated/test_remoteDictionary.py b/tests/unittest/disaggregated/test_remoteDictionary.py index c9909de88a90..bdd465aabd30 100644 --- a/tests/unittest/disaggregated/test_remoteDictionary.py +++ b/tests/unittest/disaggregated/test_remoteDictionary.py @@ -5,9 +5,7 @@ import time import unittest -import etcd3 - -from tensorrt_llm.serve.metadata_server import EtcdDictionary +from tensorrt_llm.serve.metadata_server import EtcdDictionary, etcd3 def wait_for_port(host, port, timeout=15): From 59c8225c8281a0a81f7331ea506ceb1a7ba23b28 Mon Sep 17 00:00:00 2001 From: Stefan Niebler <82932102+stnie@users.noreply.github.com> Date: Mon, 26 Jan 2026 16:21:59 +0100 Subject: [PATCH 071/241] [https://nvbugs/5769815][fix] Fix offset calculation in _are_stop_words when using speculative decoding (#10854) Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/sampler.py | 3 ++- tests/integration/test_lists/waives.txt | 1 - .../unittest/_torch/sampler/test_torch_sampler.py | 14 +++++++++++++- 3 files changed, 15 insertions(+), 3 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/sampler.py b/tensorrt_llm/_torch/pyexecutor/sampler.py index 3475963bb01c..321d0fa97888 100644 --- a/tensorrt_llm/_torch/pyexecutor/sampler.py +++ b/tensorrt_llm/_torch/pyexecutor/sampler.py @@ -2651,11 +2651,12 @@ def _are_stop_words( words_device = words.to("cuda", non_blocking=True) draft_token_length = get_draft_token_length(request) + max_draft_token_length = self.max_tokens - 1 for beam_idx in range(self.max_beam_width): new_tokens = padded_tokens[request_idx, beam_idx] for step_idx in range(draft_token_length + 1): - size_per_step = new_tokens.size(0) - draft_token_length + step_idx + size_per_step = new_tokens.size(0) - max_draft_token_length + step_idx matches = [] for word, L in zip(words_device, lens): truncated_seq = new_tokens[size_per_step - L : size_per_step] diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index e534798a8ecd..bbc0826101c2 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -339,7 +339,6 @@ accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp2tp1cp2] SKIP (https://nvbugs/5787836) accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:without_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_ngram SKIP (https://nvbugs/5769815) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=True-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=False-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=True] SKIP (https://nvbugs/5791839) diff --git a/tests/unittest/_torch/sampler/test_torch_sampler.py b/tests/unittest/_torch/sampler/test_torch_sampler.py index db518e608593..b9efcaaa7fa6 100644 --- a/tests/unittest/_torch/sampler/test_torch_sampler.py +++ b/tests/unittest/_torch/sampler/test_torch_sampler.py @@ -643,10 +643,13 @@ def __init__( finish_reasons: list[FinishReason], max_new_tokens: int = MAX_NEW_TOKENS, end_id: Optional[int] = None, + num_draft_tokens: int | None = None, stop_words_list: Optional[list[list[int]]] = None, ): seq_slot = self.seq_slots.pop() # random seq slot in MAX_NUM_SEQUENCES self.prompt = prompt + if num_draft_tokens is None: + num_draft_tokens = len(new_tokens) - 1 self.request = LlmRequest( request_id=seq_slot, seq_slot=seq_slot, @@ -658,7 +661,7 @@ def __init__( end_id=end_id, sampling_config=SamplingConfig(), is_streaming=False, - draft_tokens=new_tokens[:-1], + draft_tokens=new_tokens[:num_draft_tokens], ) assert len(new_tokens) == len(finish_reasons) self.new_tokens = new_tokens @@ -731,6 +734,15 @@ def test_write_finish_reasons(): new_tokens=[12, 13, 60], finish_reasons=[NOT_FINISHED, STOP_WORDS, NOT_FINISHED], ), + RequestCase( + prompt=[7, 8, 6], + stop_words_list=[[12, 13]], + new_tokens=[60, 12, 13], + # The request has stop words, but no draft is created + # Tokens at indices greater than 0 should be ignored + num_draft_tokens=0, + finish_reasons=[NOT_FINISHED, NOT_FINISHED, NOT_FINISHED], + ), RequestCase( prompt=[1, 2, 3, 4], end_id=99, From fa0b317f2941acb248024b6f8ff0447f8f7df02f Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 27 Jan 2026 04:30:13 +0000 Subject: [PATCH 072/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 131 ++++++---- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 125 +++++---- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 23 +- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 6 +- .../models/contrib/chatglm2-6b/poetry.lock | 6 +- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 223 ++++++++++++---- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 6 +- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 140 ++++++---- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 229 +++++++++++++---- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 6 +- .../examples/models/core/glm-4-9b/poetry.lock | 6 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../models/core/internlm2/poetry.lock | 10 +- .../models/core/internlm2/pyproject.toml | 2 +- .../examples/models/core/llama/poetry.lock | 223 ++++++++++++---- .../examples/models/core/mamba/poetry.lock | 223 ++++++++++++---- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 124 ++++----- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 233 ++++++++++++----- .../models/core/qwen2audio/pyproject.toml | 2 +- .../examples/models/core/qwenvl/poetry.lock | 33 ++- .../models/core/qwenvl/pyproject.toml | 2 +- .../models/core/recurrentgemma/poetry.lock | 223 ++++++++++++---- .../examples/models/core/whisper/poetry.lock | 240 ++++++++++++++---- .../models/core/whisper/pyproject.toml | 2 +- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 23 +- .../examples/ray_orchestrator/poetry.lock | 204 ++++++++++++++- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 204 +++++++++++---- .../examples/trtllm-eval/poetry.lock | 125 +++++---- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 36 ++- security_scanning/pyproject.toml | 6 +- 55 files changed, 2090 insertions(+), 876 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 2655fdb085d4..23bc56a4e965 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -983,7 +983,7 @@ description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -1061,42 +1061,39 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false -python-versions = ">=3.8.0" +python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, - {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] filelock = "*" fsspec = ">=2023.5.0" -hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -requests = "*" +shellingham = "*" tqdm = ">=4.42.1" -typing-extensions = ">=3.7.4.3" +typer-slim = "*" +typing-extensions = ">=4.1.0" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] -cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] -hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] -inference = ["aiohttp"] -mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] +hf-xet = ["hf-xet (>=1.2.0,<2.0.0)"] +mcp = ["mcp (>=1.8.0)"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] -tensorflow = ["graphviz", "pydot", "tensorflow"] -tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", 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the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 7992164dbe61..5aba6f875374 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -838,7 +838,7 @@ description = 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+timm = ["timm (>=1.0.23)"] tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"] -torch = ["accelerate (>=0.26.0)", "torch (>=2.2)"] +torch = ["accelerate (>=1.1.0)", "torch (>=2.2)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=1.3.0,<2.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -3776,6 +3776,25 @@ pytz = {version = ">=2018.9", optional = true, markers = "extra == \"datetime\"" datetime = ["packaging", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)"] test = ["packaging", "pytest (>=6.0.1)", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)", "tcolorpy"] +[[package]] +name = "typer-slim" +version = "0.21.1" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index bc36b031bd6d..f10abbbac6ab 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index bc36b031bd6d..f10abbbac6ab 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 59124f86196a..bf04d4080e1c 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -808,14 +808,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] @@ -2126,14 +2126,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.0.0rc3" +version = "5.0.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.0.0rc3-py3-none-any.whl", hash = "sha256:383fad27f4f73092d330e45fae384681e5c8521e1dc1cf6cb1a297780e68bf2d"}, - {file = "transformers-5.0.0rc3.tar.gz", hash = "sha256:a0315b92b7e087617ade42ec9e6e92ee7620541cc5d6a3331886c52cbe306f5c"}, + {file = "transformers-5.0.0-py3-none-any.whl", hash = "sha256:587086f249ce64c817213cf36afdb318d087f790723e9b3d4500b97832afd52d"}, + {file = "transformers-5.0.0.tar.gz", hash = "sha256:5f5634efed6cf76ad068cc5834c7adbc32db78bbd6211fb70df2325a9c37dec8"}, ] [package.dependencies] @@ -2143,7 +2143,6 @@ numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" regex = "!=2019.12.17" -requests = "*" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" @@ -2157,9 +2156,9 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", 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python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index 4fb1512591f9..7240ab6a82be 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 4fb1512591f9..7240ab6a82be 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 64b04c697a42..51738b02bc24 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = 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models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 5678bcb9edeb..a9fc13806982 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -183,6 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b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 8683eed2e914..a1ca2766848a 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -911,14 +911,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index c3c64dfb57a0..20a818020a6f 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -360,14 +360,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index bc36b031bd6d..f10abbbac6ab 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index bf0aeceb3e6b..c190eed6c98f 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index d9ff19be8b74..113d96d1c470 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -155,6 +155,21 @@ files = [ {file = "charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a"}, ] +[[package]] +name = "click" +version = "8.3.1" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, + {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + [[package]] name = "colorama" version = "0.4.6" @@ -295,7 +310,7 @@ description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -373,42 +388,39 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false -python-versions = ">=3.8.0" +python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = 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"mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] -hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] -inference = ["aiohttp"] -mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] +hf-xet = ["hf-xet (>=1.2.0,<2.0.0)"] +mcp = ["mcp (>=1.8.0)"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] -tensorflow = ["graphviz", "pydot", "tensorflow"] -tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "ruff (>=0.9.0)", "ty"] +testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] torch = ["safetensors[torch]", "torch"] -typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] +typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] [[package]] name = "idna" @@ -928,6 +940,18 @@ testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2 testingfree = ["huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"] torch = ["packaging", "safetensors[numpy]", "torch (>=1.10)"] +[[package]] +name = "shellingham" +version = "1.5.4" +description = "Tool to Detect Surrounding Shell" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, + {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, +] + [[package]] name = "tokenizers" version = "0.22.2" @@ -994,79 +1018,89 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.6" -description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" +version = "5.0.0" 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a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index bf0aeceb3e6b..c190eed6c98f 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = 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b/security_scanning/examples/models/core/llama/poetry.lock index 47e83f3f5bff..f785c36155ab 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -183,6 +183,26 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "anyio" +version = "4.12.1" +description = "High-level concurrency and networking framework on top of asyncio or Trio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, + {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +typing_extensions = {version = ">=4.5", markers = 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Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index 2d546bb6b7a5..c0d75c9b3549 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 5a73e01c1eac..9c7a5142fc7c 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -809,14 +809,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index c5a1d75bff47..81a58fd8a0cf 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -518,14 +518,14 @@ files = [ [[package]] name = "einops" -version = "0.8.1" +version = "0.8.2" description = "A new flavour of deep learning operations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, - {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, + {file = "einops-0.8.2-py3-none-any.whl", hash = "sha256:54058201ac7087911181bfec4af6091bb59380360f069276601256a76af08193"}, + {file = "einops-0.8.2.tar.gz", hash = "sha256:609da665570e5e265e27283aab09e7f279ade90c4f01bcfca111f3d3e13f2827"}, ] [[package]] @@ -898,7 +898,7 @@ description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -976,42 +976,39 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false -python-versions = ">=3.8.0" +python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, - {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] filelock = "*" fsspec = ">=2023.5.0" -hf-xet = {version = ">=1.1.3,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} +httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -requests = "*" +shellingham = "*" tqdm = ">=4.42.1" -typing-extensions = ">=3.7.4.3" +typer-slim = "*" +typing-extensions = ">=4.1.0" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] -cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", 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"typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] -hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] -inference = ["aiohttp"] -mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] +hf-xet = ["hf-xet (>=1.2.0,<2.0.0)"] +mcp = ["mcp (>=1.8.0)"] oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] -quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", 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+typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] [[package]] name = "idna" @@ -2938,7 +2935,6 @@ description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "sys_platform != \"emscripten\"" files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -3161,76 +3157,67 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.6" -description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" +version = "5.0.0" +description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false -python-versions = ">=3.9.0" +python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-4.57.6-py3-none-any.whl", hash = "sha256:4c9e9de11333ddfe5114bc872c9f370509198acf0b87a832a0ab9458e2bd0550"}, - {file = "transformers-4.57.6.tar.gz", hash = "sha256:55e44126ece9dc0a291521b7e5492b572e6ef2766338a610b9ab5afbb70689d3"}, + {file = "transformers-5.0.0-py3-none-any.whl", hash = "sha256:587086f249ce64c817213cf36afdb318d087f790723e9b3d4500b97832afd52d"}, + {file = "transformers-5.0.0.tar.gz", hash = "sha256:5f5634efed6cf76ad068cc5834c7adbc32db78bbd6211fb70df2325a9c37dec8"}, ] [package.dependencies] filelock = "*" -huggingface-hub = ">=0.34.0,<1.0" +huggingface-hub = ">=1.3.0,<2.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" regex = "!=2019.12.17" -requests = "*" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" +typer-slim = "*" [package.extras] -accelerate = ["accelerate (>=0.26.0)"] -all = ["Pillow (>=10.0.1,<=15.0)", "Pillow 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4fc73165560d..78673b51cd1d 100644 --- a/security_scanning/examples/models/core/qwen/pyproject.toml +++ b/security_scanning/examples/models/core/qwen/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "transformers-stream-generator (>=0.0.5,<0.0.6)", "sentencepiece (>=0.1.99)", "tiktoken (>=0.12.0,<0.13.0)", - "einops (>=0.8.1,<0.9.0)", + "einops (>=0.8.2,<0.9.0)", "gradio (==5.4.0)", "mdtex2html (>=1.3.2,<2.0.0)", "sse-starlette (>=3.2.0,<4.0.0)", diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 48e99e7c4117..003cc602f732 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -183,6 +183,26 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "anyio" +version = "4.12.1" +description = "High-level concurrency and 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great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" @@ -2522,4 +2639,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "64ac3d1b7012cdc444f09430175cdc81d67ff3aa89e63ada797d165290c993b1" +content-hash = "28805131824559ea745b657dab231b3bc79daefad247017177da753f5dd85722" diff --git a/security_scanning/examples/models/core/qwen2audio/pyproject.toml b/security_scanning/examples/models/core/qwen2audio/pyproject.toml index 943cd73a027f..298d236cb07b 100644 --- a/security_scanning/examples/models/core/qwen2audio/pyproject.toml +++ b/security_scanning/examples/models/core/qwen2audio/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "transformers-stream-generator (>=0.0.5,<0.0.6)", "sentencepiece (>=0.1.99)", "tiktoken (>=0.12.0,<0.13.0)", - "einops (>=0.8.1,<0.9.0)" + "einops (>=0.8.2,<0.9.0)" ] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 5277cff3cd1f..da50900a55ed 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -693,14 +693,14 @@ profile = ["gprof2dot (>=2022.7.29)"] [[package]] name = "einops" -version = "0.8.1" +version = "0.8.2" description = "A new flavour of deep learning operations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = 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"sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] @@ -3386,14 +3386,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.0.0rc3" +version = "5.0.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.0.0rc3-py3-none-any.whl", hash = "sha256:383fad27f4f73092d330e45fae384681e5c8521e1dc1cf6cb1a297780e68bf2d"}, - {file = "transformers-5.0.0rc3.tar.gz", hash = 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(>=0.6.6)", "tensorboard", "timeout-decorator", "timm (>=1.0.23)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "urllib3 (<2.0.0)", "uvicorn"] +dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.10.2,<0.11)", "libcst", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (>=1.0.23)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "urllib3 (<2.0.0)", "uvicorn"] ftfy = ["ftfy"] hf-xet = ["hf_xet"] hub-kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3440,14 +3439,14 @@ sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.2)", "uvicorn"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.2)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=1.3.0,<2.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=1.3.0,<2.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -3855,4 +3854,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "232ec84ee8b058a4d87c135c6924640d171711f94d718188002cfe0a816cfbce" +content-hash = "a8ea6674b1ac569bd1a5bc62bc40fd5a838e4f19be6e121ff5deeee3b782ecb7" diff --git a/security_scanning/examples/models/core/qwenvl/pyproject.toml b/security_scanning/examples/models/core/qwenvl/pyproject.toml index 5732bac541bc..dab749d2f933 100644 --- a/security_scanning/examples/models/core/qwenvl/pyproject.toml +++ b/security_scanning/examples/models/core/qwenvl/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "transformers-stream-generator (>=0.0.5,<0.0.6)", "sentencepiece (>=0.1.99)", "tiktoken (>=0.12.0,<0.13.0)", - "einops (>=0.8.1,<0.9.0)", + "einops (>=0.8.2,<0.9.0)", "matplotlib (>=3.10.8,<4.0.0)", "torchvision (>=0.25.0,<0.26.0)" ] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 6fb0542f6687..a8f6730d52ff 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -183,6 +183,26 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "anyio" 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Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" @@ -3624,4 +3756,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "7dad9eef9ef6eadbe7aabc7a867cc8ee3093463880482f1d55554a980fa35bec" +content-hash = "fbe3ac570f4afe82e3606fb5a1bb9ddac3725c48c4456a068b670740e34ed5d5" diff --git a/security_scanning/examples/models/core/whisper/pyproject.toml b/security_scanning/examples/models/core/whisper/pyproject.toml index d01fbf7b20e5..25ccf21217ce 100644 --- a/security_scanning/examples/models/core/whisper/pyproject.toml +++ b/security_scanning/examples/models/core/whisper/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "librosa (>=0.11.0,<0.12.0)", "soundfile (>=0.13.1,<0.14.0)", "safetensors (>=0.7.0,<0.8.0)", - "transformers (>=4.57.6,<5.0.0)", + "transformers (>=5.0.0,<6.0.0)", "janus (>=2.0.0,<3.0.0)" ] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index d4830b2dcede..84674a619ea6 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.3" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = 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datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.3-py3-none-any.whl", hash = "sha256:44af7b62380efc87c1c3bde7e1bf0661899b5bdfca1fc60975c61ee68410e10e"}, - {file = "huggingface_hub-1.3.3.tar.gz", hash = "sha256:f8be6f468da4470db48351e8c77d6d8115dff9b3daeb30276e568767b1ff7574"}, + {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, + {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, ] [package.dependencies] @@ -2092,14 +2092,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.0.0rc3" +version = "5.0.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.0.0rc3-py3-none-any.whl", hash = "sha256:383fad27f4f73092d330e45fae384681e5c8521e1dc1cf6cb1a297780e68bf2d"}, - {file = "transformers-5.0.0rc3.tar.gz", hash = "sha256:a0315b92b7e087617ade42ec9e6e92ee7620541cc5d6a3331886c52cbe306f5c"}, + {file = "transformers-5.0.0-py3-none-any.whl", hash = "sha256:587086f249ce64c817213cf36afdb318d087f790723e9b3d4500b97832afd52d"}, + {file = "transformers-5.0.0.tar.gz", hash = "sha256:5f5634efed6cf76ad068cc5834c7adbc32db78bbd6211fb70df2325a9c37dec8"}, ] [package.dependencies] @@ -2109,7 +2109,6 @@ numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" regex = "!=2019.12.17" -requests = "*" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" @@ -2123,9 +2122,9 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed 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(<2.0.0)", "urllib3 (<2.0.0)", "uvicorn"] ftfy = ["ftfy"] hf-xet = ["hf_xet"] hub-kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2146,14 +2145,14 @@ sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.2)", "uvicorn"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", 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b/security_scanning/examples/serve/poetry.lock @@ -241,6 +241,26 @@ files = [ {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] +[[package]] +name = "anyio" +version = "4.12.1" +description = "High-level concurrency and networking framework on top of asyncio or Trio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, + {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} +idna = ">=2.8" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} + +[package.extras] +trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] + [[package]] name = "async-timeout" version = "5.0.1" @@ -1224,6 +1244,18 @@ files = [ {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, ] +[[package]] +name = "h11" +version = "0.16.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"}, + {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"}, +] + [[package]] name = "hf-xet" version = "1.2.0" @@ -1231,7 +1263,7 @@ description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +markers 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Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index f1faf11d7094..320fde7c754e 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -838,7 +838,7 @@ description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] -markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" +markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\"" files = [ {file = "hf_xet-1.2.0-cp313-cp313t-macosx_10_12_x86_64.whl", hash = "sha256:ceeefcd1b7aed4956ae8499e2199607765fbd1c60510752003b6cc0b8413b649"}, {file = "hf_xet-1.2.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b70218dd548e9840224df5638fdc94bd033552963cfa97f9170829381179c813"}, @@ -916,42 +916,39 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "1.3.4" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false -python-versions = ">=3.8.0" +python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = 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(>=1.0.7)", "urllib3 (<2.0.0)", "urllib3 (<2.0.0)", "uvicorn"] ftfy = ["ftfy"] hf-xet = ["hf_xet"] -hub-kernels = ["kernels (>=0.6.1,<=0.9)"] -integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)"] +hub-kernels = ["kernels (>=0.10.2,<0.11)"] +integrations = ["kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] -mistral-common = ["mistral-common[opencv] (>=1.6.3)"] +mistral-common = ["mistral-common[image] (>=1.8.8)"] modelcreation = ["cookiecutter (==1.7.3)"] natten = ["natten (>=0.14.6,<0.15.0)"] num2words = ["num2words"] -onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] -onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.13.1)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] -ruff = ["ruff (==0.13.1)"] +ruff = ["ruff (==0.14.10)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] -serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.2)", "uvicorn"] -sigopt = ["sigopt"] +serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.2)", "uvicorn"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "uvicorn"] -tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] -timm = ["timm (!=1.0.18,<=1.0.19)"] +timm = ["timm (>=1.0.23)"] tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"] -torch = ["accelerate (>=0.26.0)", "torch (>=2.2)"] +torch = ["accelerate (>=1.1.0)", "torch (>=2.2)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=1.3.0,<2.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -3778,6 +3778,25 @@ pytz = {version = ">=2018.9", optional = true, markers = "extra == \"datetime\"" datetime = ["packaging", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)"] test = ["packaging", "pytest (>=6.0.1)", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)", "tcolorpy"] +[[package]] +name = "typer-slim" +version = "0.21.1" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, + {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, +] + +[package.dependencies] +click = ">=8.0.0" +typing-extensions = ">=3.7.4.3" + +[package.extras] +standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] + [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 201d9861be45..0ffbbef7c3f9 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "f048aded156c157c729edefce0d5752313a296fc", - "timestamp": "2026-01-26T04:01:18Z" + "commit_hash": "59c8225c8281a0a81f7331ea506ceb1a7ba23b28", + "timestamp": "2026-01-27T04:02:38Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 8ab5c0dcdb0c..224da8f9c5e9 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1223,36 +1223,34 @@ files = [ [[package]] name = "einops" -version = "0.8.1" +version = "0.8.2" description = "A new flavour of deep learning operations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "einops-0.8.1-py3-none-any.whl", hash = "sha256:919387eb55330f5757c6bea9165c5ff5cfe63a642682ea788a6d472576d81737"}, - {file = "einops-0.8.1.tar.gz", hash = "sha256:de5d960a7a761225532e0f1959e5315ebeafc0cd43394732f103ca44b9837e84"}, + {file = "einops-0.8.2-py3-none-any.whl", hash = "sha256:54058201ac7087911181bfec4af6091bb59380360f069276601256a76af08193"}, + {file = "einops-0.8.2.tar.gz", hash = "sha256:609da665570e5e265e27283aab09e7f279ade90c4f01bcfca111f3d3e13f2827"}, ] [[package]] -name = "etcd3" -version = "0.12.0" -description = "Python client for the etcd3 API" +name = "etcd-sdk-python" +version = "0.0.7" +description = "Python client for the etcd v3 API for python >= 3.8" optional = false -python-versions = "*" +python-versions = ">=3.8" groups = ["main"] -files = [] -develop = false +files = [ + {file = "etcd_sdk_python-0.0.7-py3-none-any.whl", hash = "sha256:dc0eb417c06c6e4f94c370dd19c096309f7a10bc6c89730c4fd66edd53f3a62f"}, + {file = "etcd_sdk_python-0.0.7.tar.gz", hash = "sha256:3eae8b16328a458dce8a4d39a835db666f31bc6f369117f6168c71bcd559a85d"}, +] [package.dependencies] -grpcio = ">=1.38.0" -protobuf = ">=3.17.0" -six = ">=1.16.0" +grpcio = ">=1.66.2,<=2" -[package.source] -type = "git" -url = "https://github.com/kragniz/python-etcd3.git" -reference = "e58a899579ba416449c4e225b61f039457c8072a" -resolved_reference = "e58a899579ba416449c4e225b61f039457c8072a" +[package.extras] +dev = ["PyYAML", "build", "bumpversion", "coverage", "flake8", "flake8-docstrings", "flake8-import-order", "grpcio-tools (==1.66.2)", "hypothesis", "mock", "pifpaf", "pytest", "pytest-cov", "ruff", "tenacity"] +docs = ["Sphinx (>=5.3.0)", "m2r", "sphinx-copybutton", "sphinx-rtd-theme", "sphinxcontrib-applehelp", "sphinxcontrib-devhelp", "sphinxcontrib-htmlhelp", "sphinxcontrib-jsmath", "sphinxcontrib-prettyspecialmethods", "sphinxcontrib-qthelp", "sphinxcontrib-serializinghtml"] [[package]] name = "evaluate" @@ -6872,4 +6870,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "1f26b1eecc7f21e53dc4380f7865392092be221df4ccf54b27c7d0e3e1c8b812" +content-hash = "872ec4c69f9bbab501795d842bb784c5badb5b234c70b0b0e81c31ef318bcb8c" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index b7ba2ba55a67..255852c21f7e 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -54,7 +54,7 @@ dependencies = [ "ordered-set (>=4.1.0,<5.0.0)", "peft (>=0.18.1,<0.19.0)", "patchelf (>=0.17.2.4,<0.18.0.0)", - "einops (>=0.8.1,<0.9.0)", + "einops (>=0.8.2,<0.9.0)", "flashinfer-python (>=0.6.1,<0.7.0)", "xgrammar (==0.1.25)", "llguidance (==0.7.29)", @@ -64,7 +64,6 @@ dependencies = [ "matplotlib (>=3.10.8,<4.0.0)", "meson (>=1.10.1,<2.0.0)", "ninja (>=1.13.0,<2.0.0)", - "etcd3 @ git+https://github.com/kragniz/python-etcd3.git@e58a899579ba416449c4e225b61f039457c8072a", "blake3 (>=1.0.8,<2.0.0)", "soundfile (>=0.13.1,<0.14.0)", "triton (==3.5.1)", @@ -77,7 +76,8 @@ dependencies = [ "partial-json-parser (>=0.2.1.1.post7,<0.3.0.0)", "torch-c-dlpack-ext (==0.1.3)", "mistral-common (==1.8.6)", - "torchao (>=0.14.1)" + "torchao (>=0.14.1)", + "etcd-sdk-python (==0.0.7)" ] From 0f0787b2c9fea1cc1ea3e9f28780591af941eeb8 Mon Sep 17 00:00:00 2001 From: yufeiwu-nv <230315618+yufeiwu-nv@users.noreply.github.com> Date: Tue, 27 Jan 2026 13:05:42 +0800 Subject: [PATCH 073/241] [None][test] Fix missing test cases (#10881) Signed-off-by: yufeiwu-nv <230315618+yufeiwu-nv@users.noreply.github.com> Co-authored-by: Larry Xu <197874197+LarryXFly@users.noreply.github.com> --- .../test_lists/qa/llm_perf_core.yml | 49 ++++++++++++++----- 1 file changed, 37 insertions(+), 12 deletions(-) diff --git a/tests/integration/test_lists/qa/llm_perf_core.yml b/tests/integration/test_lists/qa/llm_perf_core.yml index 76d67941a6bd..a89c181f702b 100644 --- a/tests/integration/test_lists/qa/llm_perf_core.yml +++ b/tests/integration/test_lists/qa/llm_perf_core.yml @@ -251,11 +251,11 @@ llm_perf_core: #Mistral-Small-3.1-24B-Instruct-2503 - perf/test_perf.py::test_perf[mistral_small_v3.1_24b-bench-pytorch-bfloat16-maxbs:4096-maxnt:20000-input_output_len:20000,2000-reqs:300-con:200-gpus:2] TIMEOUT(120) - perf/test_perf.py::test_perf[starcoder_15b-bench-float16-input_output_len:512,200-gpus:4] - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:512-input_output_len:128,128-ep:4-tp:4-gpus:4] - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-input_output_len:128,128-ep:4-tp:4-gpus:4] - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,2000-reqs:3000-ep:4-tp:4-gpus:4] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:20000-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:512-input_output_len:128,128-ep:4-tp:4-gpus:4] + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-streaming-float4-maxbs:512-input_output_len:128,128-ep:4-tp:4-gpus:4] + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,2000-reqs:3000-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:20000-ep:4-tp:4-gpus:4] TIMEOUT(120) #llama_v3.1_405b_instruct_fp4 - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:128,128-gpus:4] - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-gpus:4] @@ -285,10 +285,10 @@ llm_perf_core: tests: # for chunked prefill cases - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:3000,500-reqs:200] - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:32-maxnt:32768-input_output_len:8192,1024-reqs:20-con:1-ep:1-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.85-input_output_len:5000,500-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:256-maxnt:1024-kv_frac:0.85-input_output_len:2000,2000-reqs:200-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:2000-ep:4-tp:4-gpus:4] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:32-maxnt:32768-input_output_len:8192,1024-reqs:20-con:1-ep:1-tp:4-gpus:4] TIMEOUT(120) # 12: B200, B300 test cases - condition: @@ -304,6 +304,31 @@ llm_perf_core: - perf/test_perf.py::test_perf[kimi_k2_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.6-input_output_len:1000,1000-ep:8-tp:8-gpus:8] - perf/test_perf.py::test_perf[kimi_k2_nvfp4-bench-pytorch-float4-maxbs:512-maxnt:2048-kv_frac:0.6-input_output_len:5000,500-reqs:2000-ep:8-tp:8-gpus:8] TIMEOUT(120) + # llama_v3.1_405b_instruct_fp4 + - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:128,128-tp:8-gpus:8] + - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:512,32-tp:8-gpus:8] + - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-maxbs:1024-maxnt:4096-kv_frac:0.85-input_output_len:500,2000-tp:8-gpus:8] + - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-maxbs:1024-maxnt:4096-kv_frac:0.85-input_output_len:1000,1000-tp:8-gpus:8] + - perf/test_perf.py::test_perf[llama_v3.1_405b_instruct_fp4-bench-pytorch-float4-maxbs:4096-maxnt:20000-kv_frac:0.85-input_output_len:20000,2000-tp:8-gpus:8] TIMEOUT(120) + + # deepseek_r1_fp8 + - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:512-input_output_len:128,128-ep:8-tp:8-gpus:8] + - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] + - perf/test_perf.py::test_perf[deepseek_r1_fp8-bench-pytorch-float8-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:49152-con:3072-ep:8-tp:8-gpus:8] + + # deepseek_r1_0528_fp4 + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,1000-reqs:20000-ep:8-tp:8-gpus:8] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-kv_frac:0.85-input_output_len:1000,2000-reqs:3000-ep:8-tp:8-gpus:8] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:1000-maxnt:5000-kv_frac:0.85-input_output_len:5000,500-reqs:20000-ep:4-tp:4-gpus:4] TIMEOUT(120) + + # gpt_oss_120b_fp4 + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:1280-con:256-ep:8-tp:8-gpus:8] + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:2560-con:512-ep:8-tp:8-gpus:8] + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:5120-con:1024-ep:8-tp:8-gpus:8] TIMEOUT(120) + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:20480-con:4096-ep:8-tp:8-gpus:8] TIMEOUT(180) + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:8-con:1-ep:8-tp:8-gpus:8] + - perf/test_perf.py::test_perf[gpt_oss_120b_fp4-bench-pytorch-float4-maxbs:720-maxnt:16384-input_output_len:1024,1024-reqs:100-con:32-ep:8-tp:8-gpus:8] + # 13: H100, H20, H200, B200, B300 test cases - condition: ranges: @@ -443,8 +468,8 @@ llm_perf_core: - perf/test_perf.py::test_perf[llama_v4_maverick_17b_128e_instruct_fp8-bench-pytorch-streaming-float8-input_output_len:2000,500-ep:8-tp:8-gpus:8] - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:8-ep:8-tp:8-gpus:8] - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:512-ep:8-tp:8-gpus:8] - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] TIMEOUT(120) - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test - - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-maxnt:5220-input_output_len:4000,2000-reqs:512-ep:8-tp:8-gpus:8] + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] TIMEOUT(120) + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test + - perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-streaming-float4-maxbs:512-maxnt:5220-input_output_len:4000,2000-reqs:512-ep:8-tp:8-gpus:8] - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) From bb56001d95e4823e2eb83fea3a40a8aa67842ead Mon Sep 17 00:00:00 2001 From: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> Date: Tue, 27 Jan 2026 17:26:15 +0800 Subject: [PATCH 074/241] [None][feat] support Lyris GB200 and increase disagg test timeout (#11019) Signed-off-by: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com> Co-authored-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com> --- ...k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ..._ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...tx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml | 2 +- ...x2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml | 2 +- ...k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ...k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml | 2 +- tests/integration/defs/perf/disagg/test_disagg.py | 12 ++++++------ tests/integration/defs/perf/disagg/utils/common.py | 9 ++++++++- .../defs/perf/disagg/utils/config_loader.py | 4 +++- 9 files changed, 23 insertions(+), 14 deletions(-) diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml index 58ef6a5bedbb..55be42a7a756 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml @@ -13,7 +13,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: unified-benchmark extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml index 9da7bfd08b92..3755259ad632 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml @@ -13,7 +13,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: unified-benchmark extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml index 21ab0d765e27..3e4baeb63185 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml @@ -14,7 +14,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: unified-benchmark extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml index 5697528941f8..590ba0e3ea39 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml @@ -13,7 +13,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: disaggr-test extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml index 721969229546..e8bbca193a11 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml @@ -13,7 +13,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: unified-benchmark extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml index 6bfa477ad76b..5f72eb306355 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml @@ -13,7 +13,7 @@ slurm: script_file: disaggr_torch.slurm partition: account: - job_time: 02:00:00 + job_time: 04:00:00 job_name: unified-benchmark extra_args: "--gres=gpu:4" numa_bind: true diff --git a/tests/integration/defs/perf/disagg/test_disagg.py b/tests/integration/defs/perf/disagg/test_disagg.py index 36e786949d25..9e724c56de61 100644 --- a/tests/integration/defs/perf/disagg/test_disagg.py +++ b/tests/integration/defs/perf/disagg/test_disagg.py @@ -112,8 +112,8 @@ def test_benchmark(self, request, batch_manager, test_config: TestConfig): ) assert job_id, f"Failed to submit job for {test_config.test_id}\n{error_msg}" - # Wait for completion (timeout: 10 hours = 36000 seconds) - JobManager.wait_for_completion(job_id, 36000, test_config, check_early_failure=True) + # Wait for completion (timeout: 15 hours = 54000 seconds) + JobManager.wait_for_completion(job_id, 54000, test_config, check_early_failure=True) # End tracking test case test_tracker.end_test_case() @@ -188,8 +188,8 @@ def test_accuracy(self, request, batch_manager, test_config: TestConfig): # Validate submission result assert job_id, f"Failed to get job_id for {test_config.test_id}" - # Wait for completion (timeout: 10 hours = 36000 seconds) - JobManager.wait_for_completion(job_id, 36000, test_config, check_early_failure=True) + # Wait for completion (timeout: 15 hours = 54000 seconds) + JobManager.wait_for_completion(job_id, 54000, test_config, check_early_failure=True) # End tracking test case test_tracker.end_test_case() @@ -272,8 +272,8 @@ def test_stress(self, request, batch_manager, test_config: TestConfig): ) assert job_id, f"Failed to submit job for {test_config.test_id}\n{error_msg}" - # Wait for completion (timeout: 10 hours = 36000 seconds) - JobManager.wait_for_completion(job_id, 36000, test_config, check_early_failure=True) + # Wait for completion (timeout: 15 hours = 54000 seconds) + JobManager.wait_for_completion(job_id, 54000, test_config, check_early_failure=True) # End tracking test case test_tracker.end_test_case() diff --git a/tests/integration/defs/perf/disagg/utils/common.py b/tests/integration/defs/perf/disagg/utils/common.py index b4aecc116d6d..84d31f828725 100644 --- a/tests/integration/defs/perf/disagg/utils/common.py +++ b/tests/integration/defs/perf/disagg/utils/common.py @@ -12,7 +12,14 @@ "lock_freq_graphics_mhz": 2062, # GPU graphics clock lock frequency (MHz) "lock_freq_memory_mhz": 3996, # GPU memory clock lock frequency (MHz) }, - # OCI GB300 + # Lyris GB200 + "GB200_LYRIS": { + "slurm_extra_args": "", # GB300 does not require extra args + "set_segment": True, + "lock_freq_graphics_mhz": None, # TODO: Set GB300 lock frequency + "lock_freq_memory_mhz": None, + }, + # Lyris GB300 "GB300": { "slurm_extra_args": "", # GB300 does not require extra args "set_segment": True, diff --git a/tests/integration/defs/perf/disagg/utils/config_loader.py b/tests/integration/defs/perf/disagg/utils/config_loader.py index 567834d6a774..b7ff18d4d5e5 100644 --- a/tests/integration/defs/perf/disagg/utils/config_loader.py +++ b/tests/integration/defs/perf/disagg/utils/config_loader.py @@ -230,6 +230,9 @@ def scan_configs( if gpu_type is None: gpu_type = EnvManager.get_gpu_type() + # GB200_LYRIS in also in the GB200 family + if gpu_type.startswith("GB200_"): + gpu_type = "GB200" configs = [] if not self.base_dir.exists(): @@ -340,7 +343,6 @@ def _load_config_file(self, yaml_path: Path, test_type: str, test_category: str) metadata = config_data.get("metadata", {}) model_name = metadata.get("model_name", "unknown") supported_gpus = metadata.get("supported_gpus", ["GB200", "GB300", "H100", "B200", "B300"]) - # Override config with environment variables (in memory only, do not write back) config_data = self._apply_env_overrides(config_data, model_name) From 8802eaf56ed350ef96e31efec0854745a0732dc0 Mon Sep 17 00:00:00 2001 From: Jin Li <59594262+liji-nv@users.noreply.github.com> Date: Tue, 27 Jan 2026 20:47:48 +0800 Subject: [PATCH 075/241] =?UTF-8?q?[https://nvbugs/5800646][fix]=20Fix=20h?= =?UTF-8?q?ang=20issue=20by=20avoid=20exposing=20UB=20buf=E2=80=A6=20(#108?= =?UTF-8?q?42)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com> --- .../compilation/patterns/ar_residual_norm.py | 62 +++++++++++++++++++ tensorrt_llm/_torch/modules/linear.py | 3 +- tests/integration/test_lists/waives.txt | 3 - .../_torch/multi_gpu/test_user_buffers.py | 45 ++++++++++---- 4 files changed, 96 insertions(+), 17 deletions(-) diff --git a/tensorrt_llm/_torch/compilation/patterns/ar_residual_norm.py b/tensorrt_llm/_torch/compilation/patterns/ar_residual_norm.py index 55e79f72a119..3d2b2e96245a 100644 --- a/tensorrt_llm/_torch/compilation/patterns/ar_residual_norm.py +++ b/tensorrt_llm/_torch/compilation/patterns/ar_residual_norm.py @@ -713,6 +713,65 @@ def target_finalize_pattern( search_fn_pattern=trtllm_allreduce_default, ) + def insert_copy_for_graph_output(custom_pass: PatternMatcherPass): + trtllm_allreduce_default = CallFunction( + torch.ops.trtllm.allreduce.default, KeywordArg("input"), + KeywordArg("residual"), KeywordArg("gamma"), KeywordArg("scale"), + None, None, mapping.tp_group, int(AllReduceStrategy.UB), + KeywordArg("fusion_op"), KeywordArg("eps"), Ignored()) + + def empty_copy_for_graph_output_pattern( + input: torch.Tensor, + residual: torch.Tensor, + gamma: torch.Tensor, + scale: Optional[torch.Tensor], + fusion_op: int, + eps: float, + ): + return + + def target_copy_for_graph_output_pattern( + input: torch.Tensor, + residual: torch.Tensor, + gamma: torch.Tensor, + scale: Optional[torch.Tensor], + fusion_op: int, + eps: float, + ): + allreduce_output = torch.ops.trtllm.allreduce( + input, residual, gamma, scale, None, None, mapping.tp_group, + int(AllReduceStrategy.UB), fusion_op, eps, False) + non_ub_tensor = torch.empty_like(allreduce_output[0]) + non_ub_tensor.copy_(allreduce_output[0]) + allreduce_output[0] = non_ub_tensor + return allreduce_output + + def extra_check(match: Match) -> bool: + ar_node = match.ctx.pattern_to_node[trtllm_allreduce_default] + assert isinstance(ar_node, torch.fx.graph.Node) + for user_node in ar_node.users: + if not isinstance(user_node, torch.fx.graph.Node): + continue + if user_node.op == "call_function" and user_node.target == getitem and user_node.args[ + 1] == 0: + # Check whether the getitem is connected to output + for getitem_user in user_node.users: + if not isinstance(getitem_user, torch.fx.graph.Node): + continue + if getitem_user.op == "output": + return True + return False + + register_replacement( + empty_copy_for_graph_output_pattern, + target_copy_for_graph_output_pattern, + [], + fwd_only, + custom_pass, + search_fn_pattern=trtllm_allreduce_default, + extra_check=extra_check, + ) + custom_passes.append(PatternMatcherPass()) register_convert_supported_ar_to_ub(custom_passes[-1]) @@ -722,6 +781,9 @@ def target_finalize_pattern( custom_passes.append(PatternMatcherPass()) register_ub_finalize_patterns(custom_passes[-1]) + custom_passes.append(PatternMatcherPass()) + insert_copy_for_graph_output(custom_passes[-1]) + def register_ar_fusions(custom_passes: List[PatternMatcherPass], mapping: Mapping, enable_ub: bool): diff --git a/tensorrt_llm/_torch/modules/linear.py b/tensorrt_llm/_torch/modules/linear.py index 210fd9dd6ad0..0d99b6539727 100644 --- a/tensorrt_llm/_torch/modules/linear.py +++ b/tensorrt_llm/_torch/modules/linear.py @@ -2089,6 +2089,7 @@ def __init__( disable_deep_gemm: bool = False, fused_weight_shard_indices_mapping: Optional[dict] = None, nvfp4_allowed_backends: Optional[List[str]] = None, + enable_gemm_allreduce_fusion: bool = True, ): """ Args: @@ -2171,7 +2172,7 @@ def __init__( self.use_fused_gemm_allreduce = all([ self.reduce_output, mpi_enabled, dtype_supported, in_features_aligned, out_features_aligned, tp_valid, quant_valid, - device_supported, nvls_supported + device_supported, nvls_supported, enable_gemm_allreduce_fusion ]) self.enable_cuda_core = False diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index bbc0826101c2..82a3cd5514bf 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -344,7 +344,6 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[ accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=True] SKIP (https://nvbugs/5791839) accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=False] SKIP (https://nvbugs/5795918) accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype[mtp_nextn=2-overlap_scheduler=True] SKIP (https://nvbugs/5800591) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=0-attention_dp=False-cuda_graph=True-overlap_scheduler=True-torch_compile=True] SKIP (https://nvbugs/5800646) full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-ep4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-overlap_scheduler] SKIP (https://nvbugs/5800679) examples/test_medusa.py::test_llm_medusa_with_qaunt_base_model_1gpu[fp8-use_cpp_session-medusa-vicuna-7b-v1.3-4-heads-float16-bs1] SKIP (https://nvbugs/5802248) @@ -358,8 +357,6 @@ accuracy/test_llm_api_pytorch_multimodal.py::TestGemma3_27BInstruct::test_fp8_pr test_e2e.py::test_ptp_quickstart_advanced[Qwen3-30B-A3B-Qwen3/Qwen3-30B-A3B] SKIP (https://nvbugs/5810935) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.5] SKIP (https://nvbugs/5810940) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.9] SKIP (https://nvbugs/5810940) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) -accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=0-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-tp4-fp8kv=False-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=False] SKIP (https://nvbugs/5800672) accuracy/test_llm_api_pytorch.py::TestNemotronV3Super::test_auto_dtype_4gpus[4-4-True-False-True] SKIP (https://nvbugs/5810980) examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://nvbugs/5781731) diff --git a/tests/unittest/_torch/multi_gpu/test_user_buffers.py b/tests/unittest/_torch/multi_gpu/test_user_buffers.py index 00abc2229b96..eb5051afcb52 100644 --- a/tests/unittest/_torch/multi_gpu/test_user_buffers.py +++ b/tests/unittest/_torch/multi_gpu/test_user_buffers.py @@ -330,35 +330,40 @@ def __init__(self, tp_size, rank, hidden_size, dtype, eps, l0_weight, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l1 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.COLUMN, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l2 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l3 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.COLUMN, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l4 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.norm0 = RMSNorm(hidden_size=hidden_size, eps=eps, dtype=dtype).cuda() self.norm1 = RMSNorm(hidden_size=hidden_size, eps=eps, @@ -460,7 +465,10 @@ def run_single_rank_ub_pass( # 3 AR_NORM replacement # 3 Scaled MM Prologue # 2 UB Finalize Removal - assert backend.match_count == [3, 0, 2, 0, 0, 0, 0, 3, 0, 3, 0, 2, 0] + # 1 Insert copy for graph output + assert backend.match_count == [ + 3, 0, 2, 0, 0, 0, 0, 0, 3, 0, 3, 0, 2, 0, 1, 0 + ] torch.cuda.synchronize() if rank == 0: @@ -759,7 +767,10 @@ def run_single_rank_ub_mm_add_pass(tensor_parallel_size, num_tokens, # 3 AR_NORM replacement # 3 Prologue # 1 UB Finalize Removal - assert backend.match_count == [3, 0, 0, 0, 0, 0, 3, 0, 3, 0, 1, 0] + # 1 Insert copy for graph output + assert backend.match_count == [ + 3, 0, 0, 0, 0, 0, 0, 3, 0, 3, 0, 1, 0, 1, 0 + ] torch.cuda.synchronize() if rank == 0: @@ -819,35 +830,40 @@ def __init__(self, tp_size, rank, hidden_size, dtype, eps, l0_weight, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l1 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.COLUMN, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l2 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l3 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.COLUMN, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.l4 = Linear(in_features=hidden_size, out_features=hidden_size, bias=False, dtype=dtype, mapping=mapping, tensor_parallel_mode=TensorParallelMode.ROW, - quant_config=quant_config).cuda() + quant_config=quant_config, + enable_gemm_allreduce_fusion=False).cuda() self.norm0 = RMSNorm(hidden_size=hidden_size, eps=eps, dtype=dtype).cuda() self.norm1 = RMSNorm(hidden_size=hidden_size, eps=eps, @@ -993,7 +1009,10 @@ def block_scale_unswizzled(scale): # 3 AR_NORM replacement # 3 Scaled MM Prologue # 2 UB Finalize Removal - assert backend.match_count == [3, 0, 2, 0, 0, 0, 0, 3, 0, 3, 0, 2, 0] + # 1 Insert copy for graph output + assert backend.match_count == [ + 3, 0, 2, 0, 0, 0, 0, 0, 3, 0, 3, 0, 2, 0, 1, 0 + ] torch.cuda.synchronize() torch.testing.assert_close(output_fused, output_ref, From e2957d6039e96d61d876d99f34ae9c55f3b3ede3 Mon Sep 17 00:00:00 2001 From: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> Date: Tue, 27 Jan 2026 15:42:46 -0800 Subject: [PATCH 076/241] [None][chore] Unwaive helix tests (#11008) Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> --- tensorrt_llm/_torch/distributed/communicator.py | 4 ---- .../test_lists/qa/llm_function_core.txt | 8 -------- tests/integration/test_lists/waives.txt | 14 -------------- 3 files changed, 26 deletions(-) diff --git a/tensorrt_llm/_torch/distributed/communicator.py b/tensorrt_llm/_torch/distributed/communicator.py index bf97cd19e695..7eeb748212a6 100644 --- a/tensorrt_llm/_torch/distributed/communicator.py +++ b/tensorrt_llm/_torch/distributed/communicator.py @@ -465,8 +465,6 @@ def recv_object(self, src, tag=0): def tp_comm(self): if self._tp_comm is None: mapping = self.mapping - if mapping.has_cp_helix(): - mapping = mapping.repurpose_helix_cp_to_tp() new_group = mpi_comm().group.Incl(mapping.tp_group) self._tp_comm = mpi_comm().Create_group(new_group) return self._tp_comm @@ -475,8 +473,6 @@ def tp_comm(self): def pp_comm(self): if self._pp_comm is None: mapping = self.mapping - if mapping.has_cp_helix(): - mapping = mapping.repurpose_helix_cp_to_tp() new_group = mpi_comm().group.Incl(mapping.pp_group) self._pp_comm = mpi_comm().Create_group(new_group) return self._pp_comm diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt index 1928574cf389..1e387ea8c06d 100644 --- a/tests/integration/test_lists/qa/llm_function_core.txt +++ b/tests/integration/test_lists/qa/llm_function_core.txt @@ -279,19 +279,11 @@ accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp1tp2cp2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp1tp2cp2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp1tp2cp2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp1tp2cp2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp1tp1cp4] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp1tp1cp4] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp1tp1cp4] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp1tp1cp4] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp2tp1cp2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:without_padding-pp2tp1cp2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp2tp1cp2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp2tp1cp2] -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:without_padding-pp2tp1cp2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp2tp1cp2] accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_nixl_backend accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[False] diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 82a3cd5514bf..f2b9b9ae4cf0 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -325,20 +325,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_m accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[two_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestLlama3_2_1B::test_fp8_prequantized SKIP (https://nvbugs/5785465) accuracy/test_llm_api_pytorch.py::TestMinistral8BInstruct::test_fp8 SKIP (https://nvbugs/5785485) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp1tp2cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp1tp2cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp1tp2cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp1tp2cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp1tp1cp4] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp1tp1cp4] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp1tp1cp4] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp1tp1cp4] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:none-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:without_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[nccl-cudagraph:with_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:none-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:without_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) -accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_auto_dtype_with_helix[fifo-cudagraph:with_padding-pp2tp1cp2] SKIP (https://nvbugs/5787836) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=True-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=False-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=True] SKIP (https://nvbugs/5791839) From ce36c8a005ffd28945101fc32663592effb868d8 Mon Sep 17 00:00:00 2001 From: William Zhang <133824995+2ez4bz@users.noreply.github.com> Date: Tue, 27 Jan 2026 16:50:50 -0800 Subject: [PATCH 077/241] [https://nvbugs/5835925][fix] Add EPD disagg support for Qwen3 VL MoE (#10962) * Why? Trying to instantiate a `MultimodalEncoder` for a Qwen3 VL MoE model would fail during weight loading. * What? This commit fixes the bug, alongside: - explicit, intentional support for EPD for Qwen3 VL MoE. - extends EPD unit tests for Qwen3 VL MoE, albeit with dummy weights. - unit tests for the weight mapper fixes. Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com> --- .../checkpoints/hf/qwen3_moe_weight_mapper.py | 11 +- .../hf/qwen3vl_moe_weight_mapper.py | 21 ++++ .../_torch/models/modeling_qwen3vl_moe.py | 9 ++ .../multimodal/test_mm_encoder_standalone.py | 106 ++++++++++++++++-- 4 files changed, 134 insertions(+), 13 deletions(-) diff --git a/tensorrt_llm/_torch/models/checkpoints/hf/qwen3_moe_weight_mapper.py b/tensorrt_llm/_torch/models/checkpoints/hf/qwen3_moe_weight_mapper.py index 1c12b2bd5f43..2ad24e129be7 100644 --- a/tensorrt_llm/_torch/models/checkpoints/hf/qwen3_moe_weight_mapper.py +++ b/tensorrt_llm/_torch/models/checkpoints/hf/qwen3_moe_weight_mapper.py @@ -16,9 +16,6 @@ def init_model_and_config(self, model: Union[nn.Module, DecoderModelForCausalLM], config: ModelConfig): super().init_model_and_config(model, config) - self._num_kv_heads = model.config.num_key_value_heads if hasattr( - model.config, 'num_key_value_heads' - ) and model.config.num_key_value_heads is not None else model.config.num_attention_heads def should_skip_module(self, module_name: str) -> bool: if module_name.startswith("draft_model"): @@ -49,3 +46,11 @@ def _duplicate_kv_weights(self, module: nn.Module, new_name: str, return processed_weights return weights + + @property + def _num_kv_heads(self) -> int: + num_kv_heads = self._model.config.num_key_value_heads if hasattr( + self._model.config, 'num_key_value_heads' + ) and self._model.config.num_key_value_heads is not None else self._model.config.num_attention_heads + + return num_kv_heads diff --git a/tensorrt_llm/_torch/models/checkpoints/hf/qwen3vl_moe_weight_mapper.py b/tensorrt_llm/_torch/models/checkpoints/hf/qwen3vl_moe_weight_mapper.py index cb72762c5de5..12bddd4da85c 100644 --- a/tensorrt_llm/_torch/models/checkpoints/hf/qwen3vl_moe_weight_mapper.py +++ b/tensorrt_llm/_torch/models/checkpoints/hf/qwen3vl_moe_weight_mapper.py @@ -1,4 +1,8 @@ from torch import nn +from transformers.models.qwen3_vl_moe.configuration_qwen3_vl_moe import ( + Qwen3VLMoeTextConfig, + Qwen3VLMoeVisionConfig, +) from tensorrt_llm._torch.models.checkpoints.hf.qwen3_moe_weight_mapper import Qwen3MoeHfWeightMapper from tensorrt_llm._torch.models.modeling_utils import register_mapper @@ -22,3 +26,20 @@ def handle_special_instance_module( module.load_weights( weights=[updated_module_weights], allow_partial_loading=allow_partial_loading ) + + @property + def _num_kv_heads(self) -> int: + config = self._model.config + if isinstance(config, Qwen3VLMoeTextConfig): + num_kv_heads = getattr(config, "num_key_value_heads", None) + if num_kv_heads is None: + num_kv_heads = config.num_attention_heads + elif isinstance(config, Qwen3VLMoeVisionConfig): + num_kv_heads = config.num_heads + else: + raise TypeError( + "Expected `Qwen3VLMoeTextConfig` or `Qwen3VLMoeVisionConfig`, " + f"got {type(config).__name__}" + ) + + return num_kv_heads diff --git a/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py b/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py index a7a0050383c3..74cd16ec69c1 100644 --- a/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py +++ b/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py @@ -9,6 +9,7 @@ MultimodalPlaceholderMetadata, MultimodalPlaceholderPlacement, register_input_processor, + support_multimodal_disaggregated, ) from .checkpoints.base_weight_mapper import BaseWeightMapper from .checkpoints.hf.qwen3vl_moe_weight_mapper import Qwen3VLMoeHfWeightMapper @@ -21,6 +22,14 @@ from .modeling_utils import ModelConfig, register_auto_model, register_vision_encoder +# NOTE: this is technically not strictly necessary, since the underlying mechanism for registering +# support is tacked onto the input processor class (`Qwen3VLInputProcessorBase`). Given that +# the `Qwen3VLModel` (defined via the import of `modeling_qwen3vl.py` in this file) has that +# decorator applied to it, and uses the same input processor class, we get it "for free" here. +# However, we keep it here to explicitly signify intent that this is supported. This also shields +# it from e.g. the input processor classes becoming specialized between `Qwen3VLModel` and the +# below MoE class. +@support_multimodal_disaggregated @register_vision_encoder(Qwen3VisionModelBase, vlm_base_model=Qwen3VisionModel) @register_auto_model("Qwen3VLMoeForConditionalGeneration") @register_input_processor( diff --git a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py index 2ba776e97166..a4fbce63477b 100644 --- a/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py +++ b/tests/unittest/_torch/multimodal/test_mm_encoder_standalone.py @@ -1,3 +1,4 @@ +import copy import json import os import time @@ -11,9 +12,10 @@ from tensorrt_llm import MultimodalEncoder from tensorrt_llm._torch.shared_tensor import SharedTensorContainer +from tensorrt_llm._utils import get_sm_version from tensorrt_llm.inputs import default_multimodal_input_loader from tensorrt_llm.llmapi import (CacheTransceiverConfig, DisaggregatedParams, - KvCacheConfig) + KvCacheConfig, MoeConfig) from tensorrt_llm.llmapi.llm import LLM, SamplingParams test_data_root = Path( @@ -27,6 +29,67 @@ _LLAVA_DIR = llm_models_root() / "multimodals" / "llava-v1.6-mistral-7b-hf" _QWEN_2_5_VL_DIR = llm_models_root() / "Qwen2.5-VL-3B-Instruct" _QWEN_3_VL_DIR = llm_models_root() / "Qwen3" / "Qwen3-VL-2B-Instruct" +_QWEN_3_VL_30B_A3B_FP8_DIR = llm_models_root( +) / "Qwen3" / "Qwen3-VL-30B-A3B-Instruct-FP8" + +_FAKE_QWEN3_VL_30B_A3B_FP8_SENTINEL = "qwen3_vl_30b_a3b_fp8_fake" +_FAKE_CHECKPOINT_MARKER = ".tllm_fake_checkpoint" + + +# Unlike the other models, we cannot fit a multimodal encoder + 2 copies of the LLM on a single +# H100 GPU in CI. We therefore resort to creating a slimmed down version of the model with less +# layers. +def _get_fake_qwen3_vl_30b_a3b_config() -> dict: + config_path = _QWEN_3_VL_30B_A3B_FP8_DIR / "config.json" + if not config_path.exists(): + pytest.skip(f"Qwen3-VL-30B-A3B config not found: {config_path}") + with open(config_path, "r") as f: + config = json.load(f) + config = copy.deepcopy(config) + config["text_config"]["num_hidden_layers"] = 2 + return config + + +def _create_fake_qwen3_vl_30b_a3b_fp8_dir( + tmp_path_factory: pytest.TempPathFactory, + assets_dir: Path, +) -> Path: + if not assets_dir.exists(): + pytest.skip(f"Base model dir not found: {assets_dir}") + + fake_dir = tmp_path_factory.mktemp("qwen3_vl_30b_a3b_fp8_fake") + + for item in assets_dir.iterdir(): + if item.name == "config.json": + continue + target = fake_dir / item.name + if target.exists(): + continue + os.symlink(item, target, target_is_directory=item.is_dir()) + + config_path = fake_dir / "config.json" + with open(config_path, "w") as f: + json.dump(_get_fake_qwen3_vl_30b_a3b_config(), f, indent=2) + + (fake_dir / + _FAKE_CHECKPOINT_MARKER).write_text("Synthetic checkpoint for CI tests.\n") + return fake_dir + + +def _get_fake_checkpoint_kwargs(model_dir: Path) -> dict: + if (model_dir / _FAKE_CHECKPOINT_MARKER).exists(): + return {"load_format": "dummy"} + return {} + + +def _is_fake_checkpoint(model_dir: Path) -> bool: + return (model_dir / _FAKE_CHECKPOINT_MARKER).exists() + + +def _get_moe_config_for_blackwell() -> MoeConfig: + if get_sm_version() >= 100: + return MoeConfig(backend="DEEPGEMM") + return MoeConfig() @pytest.mark.parametrize( @@ -67,10 +130,12 @@ def test_kv_event_mm_keys_with_reuse(prompts, expected_num_duplicates): free_gpu_memory_fraction=free_gpu_memory_fraction, event_buffer_max_size=1024, # Enable KV cache events ) + moe_config = _get_moe_config_for_blackwell() llm = LLM(model=encoder_model_dir, backend='pytorch', kv_cache_config=kv_cache_config, + moe_config=moe_config, max_batch_size=1) inputs = _load_inputs(llm, prompts, media) @@ -100,10 +165,20 @@ def test_kv_event_mm_keys_with_reuse(prompts, expected_num_duplicates): f"got {num_duplicates}. Offsets: {mm_keys_offsets}") -@pytest.fixture(scope="module", - params=[_LLAVA_DIR, _QWEN_2_5_VL_DIR, _QWEN_3_VL_DIR], - ids=["llava_7b", "qwen2.5_3b", "qwen3_2b"]) -def model_dir(request) -> Path: +@pytest.fixture( + scope="module", + params=[ + pytest.param(_LLAVA_DIR, id="llava_7b"), + pytest.param(_QWEN_2_5_VL_DIR, id="qwen2.5_3b"), + pytest.param(_QWEN_3_VL_DIR, id="qwen3_2b"), + pytest.param(_FAKE_QWEN3_VL_30B_A3B_FP8_SENTINEL, + id="qwen3_30b_a3b_fp8"), + ], +) +def model_dir(request, tmp_path_factory: pytest.TempPathFactory) -> Path: + if request.param == _FAKE_QWEN3_VL_30B_A3B_FP8_SENTINEL: + return _create_fake_qwen3_vl_30b_a3b_fp8_dir(tmp_path_factory, + _QWEN_3_VL_DIR) return request.param @@ -125,14 +200,18 @@ def llms(model_dir: Path, free_gpu_memory_fraction=free_gpu_memory_fraction, ) + load_kwargs = _get_fake_checkpoint_kwargs(model_dir) + moe_config = _get_moe_config_for_blackwell() llm = LLM( model=model_dir, backend='pytorch', kv_cache_config=kv_cache_config, + moe_config=moe_config, trust_remote_code=True, cache_transceiver_config=cache_transceiver_cfg, disable_overlap_scheduler=disable_overlap_scheduler, max_batch_size=1, # fix batch size to reduce non-determinism in tests + **load_kwargs, ) with llm: if pd_disagg: @@ -140,8 +219,10 @@ def llms(model_dir: Path, model=model_dir, backend='pytorch', kv_cache_config=kv_cache_config, + moe_config=moe_config, trust_remote_code=True, cache_transceiver_config=cache_transceiver_cfg, + **load_kwargs, ) with llm_decode: yield (llm, llm_decode) @@ -217,7 +298,9 @@ def test_single_image_chat( # Prepare inputs for llm (pass mm_embeddings) # Process multimodal data using encoder (pass mm_embeddings) - encoder = MultimodalEncoder(model=model_dir, max_batch_size=max_batch_size) + encoder = MultimodalEncoder(model=model_dir, + max_batch_size=max_batch_size, + **_get_fake_checkpoint_kwargs(model_dir)) with encoder: encoder_outputs = encoder.generate(inputs) @@ -351,13 +434,15 @@ def test_multi_request_batch_chat( embeddings alongside the prompt ("multi_modal_embeddings"), as well as the embedding handling within default_multimodal_input_loader. """ - if use_mm_embeddings and model_dir in [_QWEN_2_5_VL_DIR, _QWEN_3_VL_DIR]: + if use_mm_embeddings and (model_dir in [_QWEN_2_5_VL_DIR, _QWEN_3_VL_DIR] + or _is_fake_checkpoint(model_dir)): pytest.skip("Qwen does not implement attach_multimodal_embeddings") # Qwen2.5/3 VL's vision encoder seems to output different embeddings based on this value. # The test only passes with this set to 1. - encoder_max_batch_size = (1 if model_dir - in [_QWEN_2_5_VL_DIR, _QWEN_3_VL_DIR] else 3) + encoder_max_batch_size = (1 if + model_dir in [_QWEN_2_5_VL_DIR, _QWEN_3_VL_DIR] + or _is_fake_checkpoint(model_dir) else 3) llm, llm_decode = llms if llm_decode is not None: @@ -388,7 +473,8 @@ def test_multi_request_batch_chat( ) > 0, f"Reference generation has no output text for input {i}" encoder = MultimodalEncoder(model=model_dir, - max_batch_size=encoder_max_batch_size) + max_batch_size=encoder_max_batch_size, + **_get_fake_checkpoint_kwargs(model_dir)) with encoder: # Encoder path encoder_outputs = encoder.generate(inputs) From 6dcac08b4a04e2411ccb61ef6772704c96501819 Mon Sep 17 00:00:00 2001 From: Enwei Zhu <21126786+syuoni@users.noreply.github.com> Date: Wed, 28 Jan 2026 10:35:37 +0800 Subject: [PATCH 078/241] [https://nvbugs/5819452][ci] Unwaive LLaMA2 7B FP8 case (#10997) Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f2b9b9ae4cf0..7a5e38ccff61 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -349,7 +349,6 @@ examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://n accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKIP (https://nvbugs/5651865) test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) -accuracy/test_cli_flow.py::TestLlama2_7B::test_fp8 SKIP (https://nvbugs/5819452) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) From b8318b2275d45d3c53961edcd37cb6505daad6a6 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 28 Jan 2026 04:54:42 +0000 Subject: [PATCH 079/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 107 ++++++++-------- .../examples/models/core/qwen/poetry.lock | 8 +- .../examples/models/core/qwen/pyproject.toml | 2 +- .../examples/ray_orchestrator/poetry.lock | 107 ++++++++-------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 114 +++++++++--------- security_scanning/pyproject.toml | 2 +- 8 files changed, 170 insertions(+), 180 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 4fd491e0d47a..2404d76fa902 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.15.0" +version = "2.16.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.15.0-py3-none-any.whl", hash = "sha256:6ae23b932cd7230f7244e52954daa6602716d6b9bf235401a107af731baea6c3"}, - {file = "openai-2.15.0.tar.gz", hash = "sha256:42eb8cbb407d84770633f31bf727d4ffb4138711c670565a41663d9439174fba"}, + {file = "openai-2.16.0-py3-none-any.whl", hash = "sha256:5f46643a8f42899a84e80c38838135d7038e7718333ce61396994f887b09a59b"}, + {file = "openai-2.16.0.tar.gz", hash = "sha256:42eaa22ca0d8ded4367a77374104d7a2feafee5bd60a107c3c11b5243a11cd12"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 83298b6a5ccd..00e1b6dc0b70 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -487,66 +487,61 @@ files = [ [[package]] name = "cryptography" -version = "46.0.3" +version = "46.0.4" description = "cryptography is a package which provides cryptographic 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-content-hash = "872ec4c69f9bbab501795d842bb784c5badb5b234c70b0b0e81c31ef318bcb8c" +content-hash = "febeaa4c61f28db4366807a9433694f1d0c102e0e7b4d87d5a03f514c87801b9" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 255852c21f7e..d8748bc5fe8f 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy (<2)", "onnx (>=1.18.0,<1.20.0)", "onnx-graphsurgeon (>=0.5.2)", - "openai (>=2.15.0,<3.0.0)", + "openai (>=2.16.0,<3.0.0)", "polygraphy (>=0.49.26,<0.50.0)", "psutil (>=7.2.1,<8.0.0)", "nvidia-ml-py (>=13)", From 96c0ae055a024198c0a09752bab849a8c3997ceb Mon Sep 17 00:00:00 2001 From: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> Date: Tue, 27 Jan 2026 22:33:44 -0800 Subject: [PATCH 080/241] [https://nvbugs/5811087][chore] Unwaive Gemma3 27B multimodal test (#11049) Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 7a5e38ccff61..58de24eb4b11 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -339,7 +339,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[two_model] SKIP (https://nvbugs/5596343) accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[True] SKIP (https://nvbugs/5799901) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-no_overlap_scheduler] SKIP (https://nvbugs/5809169) -accuracy/test_llm_api_pytorch_multimodal.py::TestGemma3_27BInstruct::test_fp8_prequantized SKIP (https://nvbugs/5811087) test_e2e.py::test_ptp_quickstart_advanced[Qwen3-30B-A3B-Qwen3/Qwen3-30B-A3B] SKIP (https://nvbugs/5810935) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.5] SKIP (https://nvbugs/5810940) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.9] SKIP (https://nvbugs/5810940) From 219e5dbd5c839febf2f7b0c22a0fc0f6155f27b8 Mon Sep 17 00:00:00 2001 From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> Date: Wed, 28 Jan 2026 14:55:55 +0800 Subject: [PATCH 081/241] [https://nvbugs/5821433][fix] WAR for popen in QA env (#10989) Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> --- tests/integration/defs/disaggregated/test_auto_scaling.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/disaggregated/test_auto_scaling.py b/tests/integration/defs/disaggregated/test_auto_scaling.py index 0f31ce54c776..038049109ddd 100644 --- a/tests/integration/defs/disaggregated/test_auto_scaling.py +++ b/tests/integration/defs/disaggregated/test_auto_scaling.py @@ -147,14 +147,14 @@ def _run_worker(model_name, env = os.environ.copy() log_file = None log_path = None + stdout = None + stderr = None if save_log: log_path = os.path.join(work_dir, f"worker_{role}_{port}.log") log_file = open(log_path, "w+") stdout = log_file stderr = log_file - else: - stdout = sys.stdout - stderr = sys.stderr + if device != -1: env["CUDA_VISIBLE_DEVICES"] = str(device) print(f"Running {role} on port {port}") From dde9545341fc6a6f147e55e39fbdced46898af69 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Wed, 28 Jan 2026 15:46:25 +0800 Subject: [PATCH 082/241] [None][infra] Waive failed case for release on 1/28 (#11055) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 58de24eb4b11..0396eafec756 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -357,3 +357,4 @@ perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwel unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[limitinf-beta0-alpha0.1-RoutingGPTOSS-512-512-1] SKIP (https://nvbugs/5819042) accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] SKIP (https://nvbugs/5839155) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-v3-8b-hf] SKIP (https://nvbugs/5839137) +accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) From 4ebe56f25623376cac005698a2988023f3d0e3a0 Mon Sep 17 00:00:00 2001 From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Date: Wed, 28 Jan 2026 17:57:30 +0800 Subject: [PATCH 083/241] [https://nvbugs/5839569][test] update test constraint 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<7135567+cascade812@users.noreply.github.com> --- .../_torch/models/modeling_speculative.py | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/_torch/models/modeling_speculative.py b/tensorrt_llm/_torch/models/modeling_speculative.py index 33940091e9dc..e57432512553 100755 --- a/tensorrt_llm/_torch/models/modeling_speculative.py +++ b/tensorrt_llm/_torch/models/modeling_speculative.py @@ -469,9 +469,26 @@ def forward( ) def load_weights(self, weights: Dict, weight_mapper: BaseWeightMapper): + # Remap weight names: some Eagle3 checkpoints use "layers.X.*" naming convention + # while the model expects "midlayer.*" naming. Handle both formats. + import re + remapped_weights = {} + # Access num_layers from the inner draft model (self.model is Eagle3DraftModel) + num_layers = self.model.num_layers + for k, v in weights.items(): + new_k = k + # For single-layer models: "layers.0.*" -> "midlayer.*" + # For multi-layer models: "layers.X.*" -> "midlayer.X.*" + if num_layers == 1: + # Single layer: layers.0.foo -> midlayer.foo + new_k = re.sub(r'^layers\.0\.', 'midlayer.', new_k) + else: + # Multi-layer: layers.X.foo -> midlayer.X.foo + new_k = re.sub(r'^layers\.(\d+)\.', r'midlayer.\1.', new_k) + remapped_weights[new_k] = v new_weights = {} - for k, v in weights.items(): + for k, v in remapped_weights.items(): if 'lm_head' not in k: new_k = "model." + k else: From 4f5c9cedf7b080ef5a232eafaf8449b84a65002b Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 29 Jan 2026 04:27:18 +0000 Subject: [PATCH 086/241] [None][infra] Check in most recent lock file from 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.../examples/models/contrib/grok/poetry.lock | 8 +-- .../models/contrib/internlm/poetry.lock | 8 +-- .../examples/models/contrib/jais/poetry.lock | 8 +-- .../examples/models/contrib/mpt/poetry.lock | 8 +-- .../examples/models/contrib/opt/poetry.lock | 8 +-- .../models/contrib/skywork/poetry.lock | 8 +-- .../examples/models/contrib/smaug/poetry.lock | 8 +-- .../examples/models/core/commandr/poetry.lock | 8 +-- .../examples/models/core/gemma/poetry.lock | 56 +++++++++---------- .../examples/models/core/glm-4-9b/poetry.lock | 8 +-- .../examples/models/core/gpt/poetry.lock | 8 +-- .../examples/models/core/llama/poetry.lock | 8 +-- .../examples/models/core/mamba/poetry.lock | 8 +-- .../examples/models/core/mixtral/poetry.lock | 48 ++++++++-------- .../examples/models/core/nemotron/poetry.lock | 8 +-- .../examples/models/core/phi/poetry.lock | 8 +-- .../examples/models/core/qwen/poetry.lock | 8 +-- .../models/core/qwen2audio/poetry.lock | 8 +-- .../examples/models/core/qwenvl/poetry.lock | 8 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"pytest-instafail", "pytest-xdist", "setuptools"] +dev = ["abi3audit", "black", "check-manifest", "colorama ; os_name == \"nt\"", "coverage", "packaging", "psleak", "pylint", "pyperf", "pypinfo", "pyreadline3 ; os_name == \"nt\"", "pytest", "pytest-cov", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "validate-pyproject[all]", "virtualenv", "vulture", "wheel", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""] +test = ["psleak", "pytest", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "setuptools", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""] [[package]] name = "pulp" @@ -6870,4 +6870,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "febeaa4c61f28db4366807a9433694f1d0c102e0e7b4d87d5a03f514c87801b9" +content-hash = "da43ba61578a0f0d9c087632bb255dfd57d9ce2b39699c178dbae5b9ace55a90" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index d8748bc5fe8f..7a11c463364a 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -20,7 +20,7 @@ dependencies = [ "onnx-graphsurgeon (>=0.5.2)", "openai (>=2.16.0,<3.0.0)", "polygraphy (>=0.49.26,<0.50.0)", - "psutil (>=7.2.1,<8.0.0)", + "psutil (>=7.2.2,<8.0.0)", "nvidia-ml-py (>=13)", "pulp (>=3.3.0,<4.0.0)", "h5py (==3.12.1)", From 1bb0eade754e2ca2f42429a488152cc08a2cc550 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Thu, 29 Jan 2026 13:59:23 +0800 Subject: [PATCH 087/241] [None][infra] Fix TRT-LLM data scratch mount point for gb10x (#10880) (#11056) Signed-off-by: qqiao Signed-off-by: Emma Qiao Co-authored-by: Yanchao Lu --- jenkins/L0_Test.groovy | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index cb1b8f97ba1a..f3979dc4a989 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -681,6 +681,13 @@ def runLLMTestlistWithAgent(pipeline, platform, testList, config=VANILLA_CONFIG, dockerArgs += " --device=/dev/gdrdrv:/dev/gdrdrv" } } + if (fileExists('/home/scratch.trt_llm_data_ci')) { + dockerArgs += " -v /home/scratch.trt_llm_data_ci:/scratch.trt_llm_data:ro " + } else if (fileExists('/home/scratch.trt_llm_data')) { + dockerArgs += " -v /home/scratch.trt_llm_data:/scratch.trt_llm_data:ro " + } else { + echo "Existing TRT-LLM data scratch mount points cannot be set up in this cluster, ignore..." + } } dockerArgs = "${dockerArgs} " + @@ -689,7 +696,6 @@ def runLLMTestlistWithAgent(pipeline, platform, testList, config=VANILLA_CONFIG, "--entrypoint=\"\" " + "--security-opt seccomp=unconfined " + "-u root:root " + - "-v /home/scratch.trt_llm_data_ci:/scratch.trt_llm_data:ro " + "-v /tmp/ccache:${CCACHE_DIR}:rw " + "-v /tmp/pipcache/http-v2:/root/.cache/pip/http-v2:rw " + "--cap-add=SYSLOG" @@ -1834,7 +1840,10 @@ def createKubernetesPodConfig(image, type, arch = "amd64", gpuCount = 1, perfMod server: 10.117.145.14 path: /vol/scratch1/scratch.michaeln_blossom """ - if (type.contains("6000d") || type.contains("gh200")) { + + // Austin FlexCache looks slow and unstable recently. Remove gh200 temporarily. + // That means gh200 nodes will use the default Blossom data scratch. + if (type.contains("6000d")) { // rtx-pro-6000d and gh200 nodes are located in Austin DC, we use the FlexCache to speed up the data access. llmModelVolume = """ - name: scratch-trt-llm-data From ffaa62bc29ea0e47a6feefa1da3008aa4dc3b6bf Mon Sep 17 00:00:00 2001 From: kris1025 <34030136+kris1025@users.noreply.github.com> Date: Thu, 29 Jan 2026 14:13:22 +0800 Subject: [PATCH 088/241] [None][chore] unwaive qwen3 235B accuracy test (#11058) Signed-off-by: linquanh --- tests/integration/defs/accuracy/references/mmlu.yaml | 4 ++-- tests/integration/test_lists/waives.txt | 1 - 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/accuracy/references/mmlu.yaml b/tests/integration/defs/accuracy/references/mmlu.yaml index 208a31f52b2e..d8d3949909bf 100644 --- a/tests/integration/defs/accuracy/references/mmlu.yaml +++ b/tests/integration/defs/accuracy/references/mmlu.yaml @@ -235,11 +235,11 @@ Qwen3/Qwen3-235B-A22B: accuracy: 86 - quant_algo: NVFP4 kv_cache_quant_algo: FP8 - accuracy: 86 + accuracy: 85.5 - spec_dec_algo: Eagle quant_algo: NVFP4 kv_cache_quant_algo: FP8 - accuracy: 86 + accuracy: 85.5 Qwen3/Qwen3-Next-80B-A3B-Thinking: - accuracy: 86 Qwen3/Qwen3-Next-80B-A3B-Instruct: diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 0396eafec756..e2bcbb9bedcb 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -258,7 +258,6 @@ unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_llm_a unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_serve[True] SKIP (https://nvbugs/5739981) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=2] SKIP (https://nvbugs/5596337) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5596337) -accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4[latency_moe_trtllm] SKIP (https://nvbugs/5721672) unittest/_torch/multi_gpu/test_allreduce.py::test_allreduce_fusion_patterns[2-residual_rms_norm_out_quant_fp8-hidden:7168-seqlen:8192] SKIP (https://nvbugs/5741392) unittest/executor/test_rpc.py::TestRpcCorrectness::test_incremental_task_async SKIP (https://nvbugs/5741476) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) From 1519191404abbc787b1318898bb9afdf78c22b8b Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Thu, 29 Jan 2026 13:44:37 -0500 Subject: [PATCH 089/241] [None][doc] Hardware support update (#10719) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- docs/source/index.rst | 1 + docs/source/overview.md | 7 ------- docs/source/supported-hardware.md | 7 +++++++ 3 files changed, 8 insertions(+), 7 deletions(-) create mode 100644 docs/source/supported-hardware.md diff --git a/docs/source/index.rst b/docs/source/index.rst index 49c5e1546cc1..52c56be85e92 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -14,6 +14,7 @@ Welcome to TensorRT LLM's Documentation! overview.md quick-start-guide.md installation/index.rst + supported-hardware.md .. toctree:: diff --git a/docs/source/overview.md b/docs/source/overview.md index e7aeed43a237..0eee6b6f9fd7 100644 --- a/docs/source/overview.md +++ b/docs/source/overview.md @@ -51,13 +51,6 @@ TensorRT LLM strives to support the most popular models on **Day 0**. - **[Guided Decoding](./features/guided-decoding.md)**: Advanced sampling with stop words, bad words, and custom constraints - **[Disaggregated Serving (Beta)](./features/disagg-serving.md)**: Separate context and generation phases across different GPUs for optimal resource utilization -### 🔧 **Latest GPU Architecture Support** - -TensorRT LLM supports the full spectrum of NVIDIA GPU architectures: -- **NVIDIA Blackwell**: B200, GB200, B300, GB300, and RTX Pro 6000 SE with FP4 optimization -- **NVIDIA Ada Lovelace**: L40/L40S, RTX 40 series with FP8 acceleration -- **NVIDIA Ampere**: A100, RTX 30 series for production workloads - ## What Can You Do With TensorRT LLM? Whether you're building the next generation of AI applications, optimizing existing LLM deployments, or exploring the frontiers of large language model technology, TensorRT LLM provides the tools, performance, and flexibility you need to succeed in the era of generative AI.To get started, refer to the {ref}`quick-start-guide`. diff --git a/docs/source/supported-hardware.md b/docs/source/supported-hardware.md new file mode 100644 index 000000000000..a8c96e99eeb2 --- /dev/null +++ b/docs/source/supported-hardware.md @@ -0,0 +1,7 @@ +# Supported Hardware + +TensorRT LLM supports the full spectrum of NVIDIA GPU architectures: +- **NVIDIA Blackwell**: B200, GB200, B300, GB300, DGX Spark +- **NVIDIA Hopper**: H100, H200, GH200 +- **NVIDIA Ada Lovelace**: L20, L40/L40S +- **NVIDIA Ampere**: A100 From 8e3d1bea926df17501b8ad6568e4272332e7e6ca Mon Sep 17 00:00:00 2001 From: Ziyi Xiong <219238287+ziyixiong-nv@users.noreply.github.com> Date: Fri, 30 Jan 2026 10:56:28 +0800 Subject: [PATCH 090/241] [https://nvbugs/5829830][fix] Declare the var in the correct scope (#11066) Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com> --- cpp/kernels/xqa/mha_sm90.cu | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/cpp/kernels/xqa/mha_sm90.cu b/cpp/kernels/xqa/mha_sm90.cu index dc21872ac696..7f7164c9a24e 100644 --- a/cpp/kernels/xqa/mha_sm90.cu +++ b/cpp/kernels/xqa/mha_sm90.cu @@ -1138,6 +1138,10 @@ CUBIN_EXPORT __global__ auto& xBar = smem.xBar[idxXBuf]; auto& vBar = smem.vBar[idxVBuf]; auto const& vBuf = smem.vBuf(idxVBuf); +#if !SWAP_AB + CtaBarrierPair& vtBar = smem.vtBar[idxVBuf]; + auto& vtBuf = smem.vtBuf(idxVBuf); +#endif xBar.produced.arrive_and_wait(); #if SKIP_SOFTMAX_ATTN bool shouldSkipSoftmaxAttn = smem.skipSoftmaxVotesGemm0ToGemm1[idxXBuf]; // guarded by xBar @@ -1153,8 +1157,6 @@ CUBIN_EXPORT __global__ { arrive_tx_and_wait(vBar.produced, exactDiv(sizeof(SharedMem::VBuffer), gemm1NbThrds)); #if !SWAP_AB - CtaBarrierPair& vtBar = smem.vtBar[idxVBuf]; - auto& vtBuf = smem.vtBuf(idxVBuf); vtBar.consumed.arrive_and_wait(); transposeVTile(warpRank, laneId(), vtBuf, vBuf); vBar.consumed.arrive(); From 569947a72f324af5699d13eca9b2cc636aa57b72 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 30 Jan 2026 04:49:11 +0000 Subject: [PATCH 091/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 12 +- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 6 +- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 6 +- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 30 +-- .../models/contrib/chatglm-6b/pyproject.toml | 2 +- .../models/contrib/chatglm2-6b/poetry.lock | 30 +-- .../models/contrib/chatglm2-6b/pyproject.toml | 2 +- .../contrib/chatglm3-6b-32k/poetry.lock | 30 +-- .../contrib/chatglm3-6b-32k/pyproject.toml | 2 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 6 +- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 28 +-- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 36 ++-- .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 28 +-- .../examples/models/core/glm-4-9b/poetry.lock | 30 +-- .../models/core/glm-4-9b/pyproject.toml | 2 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../examples/models/core/llama/poetry.lock | 6 +- .../examples/models/core/mamba/poetry.lock | 6 +- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 171 ++++++++---------- .../models/core/qwen2audio/poetry.lock | 6 +- .../examples/models/core/qwenvl/poetry.lock | 6 +- .../models/core/recurrentgemma/poetry.lock | 28 +-- .../examples/models/core/whisper/poetry.lock | 6 +- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 6 +- .../examples/ray_orchestrator/poetry.lock | 22 +-- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 6 +- .../examples/trtllm-eval/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 22 +-- 53 files changed, 339 insertions(+), 352 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 02fbd4b344a7..6a0c9a394742 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1061,14 +1061,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] @@ -4186,14 +4186,14 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.5.0" +version = "0.5.2" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.5.0-py3-none-any.whl", hash = "sha256:1efe1361b83b0ff7877b81ba57c8562c99cf812158b778988ce17ec061095695"}, - {file = "wcwidth-0.5.0.tar.gz", hash = "sha256:f89c103c949a693bf563377b2153082bf58e309919dfb7f27b04d862a0089333"}, + {file = "wcwidth-0.5.2-py3-none-any.whl", hash = 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hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 0a9cb064b470..353ff56e61a3 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = 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datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 53820d0aa249..66a1003a7eb9 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 53820d0aa249..66a1003a7eb9 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index df1dd4728e04..0312c3a43f63 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -808,14 +808,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index d3e802eea836..4fce2cad0602 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = 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a/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml +++ b/security_scanning/examples/models/contrib/chatglm-6b/pyproject.toml @@ -9,7 +9,7 @@ requires-python = ">=3.10,<3.13" dependencies = [ "datasets (==3.1.0)", "evaluate (>=0.4.6,<0.5.0)", - "protobuf (>=6.33.4,<7.0.0)", + "protobuf (>=6.33.5,<7.0.0)", "rouge-score (>=0.1.2,<0.2.0)", "sentencepiece (>=0.2.1,<0.3.0)", "tiktoken (>=0.12.0,<0.13.0)" diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index ef000cd24e5e..a48d746db5d8 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" 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b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index b22906546b97..c5994e45d7a0 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = 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b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -388,14 +388,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.4" +version = "1.3.5" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.4-py3-none-any.whl", hash = "sha256:a0c526e76eb316e96a91e8a1a7a93cf66b0dd210be1a17bd5fc5ae53cba76bfd"}, - {file = "huggingface_hub-1.3.4.tar.gz", hash = "sha256:c20d5484a611b7b7891d272e8fc9f77d5de025b0480bdacfa858efb3780b455f"}, + {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, + {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock 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<23156053+hyukn@users.noreply.github.com> Date: Fri, 30 Jan 2026 15:49:23 +0800 Subject: [PATCH 092/241] [https://nvbugs/5815136][fix] Cherry-pick #11042: nccl symmetric with graceful fallbacks (#11042) (#11090) Signed-off-by: Ludwig Schneider Co-authored-by: Ludwig Schneider --- cpp/tensorrt_llm/common/ncclUtils.cpp | 15 ++++++++ cpp/tensorrt_llm/common/ncclUtils.h | 21 +++++++---- cpp/tensorrt_llm/thop/allreduceOp.cpp | 36 ++++++++++++++----- .../_torch/custom_ops/torch_custom_ops.py | 6 ++-- 4 files changed, 59 insertions(+), 19 deletions(-) diff --git a/cpp/tensorrt_llm/common/ncclUtils.cpp b/cpp/tensorrt_llm/common/ncclUtils.cpp index 21b976d73d99..70e2a5dcb082 100644 --- a/cpp/tensorrt_llm/common/ncclUtils.cpp +++ b/cpp/tensorrt_llm/common/ncclUtils.cpp @@ -383,6 +383,21 @@ NCCLWindowBuffer NCCLWindowAllocator::requestBuffer(ncclComm_t comm, size_t size return bestFit->buffer; } + // No available buffer found, avoid registration during CUDA graph capture + auto stream = at::cuda::getCurrentCUDAStream(); + cudaStreamCaptureStatus capture_status = cudaStreamCaptureStatusNone; + auto capture_err = cudaStreamIsCapturing(stream, &capture_status); + if (capture_err != cudaSuccess) + { + TLLM_LOG_DEBUG("[NCCLUtil] cudaStreamIsCapturing failed: %s", cudaGetErrorString(capture_err)); + } + if (capture_err == cudaSuccess && capture_status != cudaStreamCaptureStatusNone) + { + TLLM_LOG_DEBUG("[NCCLUtil] Skipping NCCL window allocation during capture for comm %p (requested: %zu)", + static_cast(comm), size); + return NCCLWindowBuffer(); + } + // No available buffer found, allocate a new one TLLM_LOG_TRACE( "[NCCLUtil] Allocating new NCCL window buffer for comm %p, size=%zu", static_cast(comm), size); diff --git a/cpp/tensorrt_llm/common/ncclUtils.h b/cpp/tensorrt_llm/common/ncclUtils.h index c809394a482c..506dcc555788 100644 --- a/cpp/tensorrt_llm/common/ncclUtils.h +++ b/cpp/tensorrt_llm/common/ncclUtils.h @@ -21,6 +21,8 @@ #include "tensorrt_llm/common/logger.h" #if ENABLE_MULTI_DEVICE +#include +#include #include #include #endif @@ -32,7 +34,6 @@ #include #include #include -#include #include #include #include @@ -377,15 +378,23 @@ inline std::pair createNCCLWindowTensor( // Request buffer from allocator auto& allocator = NCCLWindowAllocator::getInstance(); - auto buffer = allocator.requestBuffer(comm, buffer_size); + NCCLWindowBuffer buffer; + + try + { + buffer = allocator.requestBuffer(comm, buffer_size); + } + catch (std::exception const& e) + { + TLLM_LOG_DEBUG("[createNCCLWindowTensor] requestBuffer failed; returning invalid buffer: %s", e.what()); + return std::make_pair(torch::Tensor(), NCCLWindowBuffer()); + } // Defensive validation: ensure buffer is valid before proceeding if (!buffer.isValid()) { - std::ostringstream oss; - oss << "Failed to allocate NCCL window buffer: invalid buffer returned from requestBuffer " - << "(comm=" << static_cast(comm) << ", buffer_size=" << buffer_size << ")"; - throw std::runtime_error(oss.str()); + TLLM_LOG_DEBUG("[createNCCLWindowTensor] invalid buffer returned from requestBuffer; returning invalid buffer"); + return std::make_pair(torch::Tensor(), NCCLWindowBuffer()); } // Create custom deleter that releases the buffer diff --git a/cpp/tensorrt_llm/thop/allreduceOp.cpp b/cpp/tensorrt_llm/thop/allreduceOp.cpp index 903908288756..e9812b52c03a 100644 --- a/cpp/tensorrt_llm/thop/allreduceOp.cpp +++ b/cpp/tensorrt_llm/thop/allreduceOp.cpp @@ -42,6 +42,7 @@ #include #include #include +#include #include #include #include @@ -295,7 +296,6 @@ class AllreduceOp auto const rank = getRank(); TLLM_LOG_DEBUG( "AllReduceOp runtime strategy for rank %d: " + tensorrt_llm::kernels::toString(runtime_strategy), rank); - // Dispatch to different allreduce implementations switch (runtime_strategy) { @@ -508,8 +508,9 @@ class AllreduceOp minRegistrationThreshold = static_cast(std::atoi(envThreshold)) * input.element_size(); } - // Search for existing buffer auto& allocator = NCCLWindowAllocator::getInstance(); + + // Search for existing buffer auto windowBuffer0 = allocator.searchBuffer(comm, input.data_ptr()); torch::Tensor inputTensor = input; @@ -532,11 +533,22 @@ class AllreduceOp // Large buffer: create window buffer and copy input (can swap inputTensor reference) auto [symmetricInput, symmetricBuffer0] = createNCCLWindowTensor(comm, input.sizes(), input.scalar_type()); - TLLM_CUDA_CHECK(cudaMemcpyAsync( - symmetricBuffer0.ptr, input.data_ptr(), bufferSizeBytes, cudaMemcpyDeviceToDevice, stream)); - windowBuffer0 = symmetricBuffer0; - inputTensor = symmetricInput; // Swap to window-backed tensor - inputPtr = windowBuffer0.ptr; + if (!symmetricBuffer0.isValid()) + { + TLLM_LOG_DEBUG( + "[runNCCLAllReduceSymmetric] No valid symmetric buffer available; " + "falling back to non-symmetric ncclAllReduce (input buffer)"); + // inputTensor and inputPtr remain pointing to original input + } + else + { + TLLM_CUDA_CHECK(cudaMemcpyAsync( + symmetricBuffer0.ptr, input.data_ptr(), bufferSizeBytes, cudaMemcpyDeviceToDevice, stream)); + + windowBuffer0 = symmetricBuffer0; + inputTensor = symmetricInput; // Swap to window-backed tensor + inputPtr = windowBuffer0.ptr; + } } } else @@ -547,8 +559,14 @@ class AllreduceOp // Use window-backed output buffer auto [normOut, windowBuffer1] = createNCCLWindowTensor(comm, input.sizes(), input.scalar_type()); - torch::Tensor outputTensor = normOut; - void* outputPtr = windowBuffer1.ptr; + torch::Tensor outputTensor = windowBuffer1.isValid() ? normOut : torch::empty_like(inputTensor); + void* outputPtr = windowBuffer1.isValid() ? windowBuffer1.ptr : outputTensor.data_ptr(); + if (!windowBuffer1.isValid()) + { + TLLM_LOG_DEBUG( + "[runNCCLAllReduceSymmetric] No valid symmetric buffer available; " + "using plain CUDA tensor for output"); + } // Perform allreduce NCCLCHECK_THROW(ncclAllReduce(inputPtr, outputPtr, size, (*getDtypeMap())[mType], ncclSum, comm, stream)); diff --git a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py index c176fe70b315..17667b2f38a0 100644 --- a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py +++ b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py @@ -1695,8 +1695,7 @@ def get_valid_tactics( **kwargs, ) -> List[int]: valid_strategies = [ - # TODO: NCCL_SYMMETRIC will cause hang during tuning process - # AllReduceStrategy.NCCL_SYMMETRIC.value, + AllReduceStrategy.NCCL_SYMMETRIC.value, AllReduceStrategy.NCCL.value, ] # Fallback in allreduceOp is set to NCCL_SYMMETRIC as default @@ -1724,8 +1723,7 @@ def forward( ) -> torch.Tensor: input, residual, norm_weight, scale, bias, workspace = inputs if tactic == -1: - # TODO: Use NCCL instead of NCCL_SYMMETRIC to avoid hanging during tuning process - tactic = AllReduceStrategy.NCCL.value + tactic = AllReduceStrategy.NCCL_SYMMETRIC.value return torch.ops.trtllm.allreduce( input, From fe1ea30377f6132a7996a08add5e08cd015e3253 Mon Sep 17 00:00:00 2001 From: dhansen-nvidia <218031328+dhansen-nvidia@users.noreply.github.com> Date: Fri, 30 Jan 2026 17:02:15 -0500 Subject: [PATCH 093/241] [None][feat] Add documentation on configuring CPU affinity in TRT-LLM (#10678) Signed-off-by: Dan Hansen <1+dhansen-nvidia@users.noreply.github.com> Signed-off-by: dhansen-nvidia <218031328+dhansen-nvidia@users.noreply.github.com> Co-authored-by: Dan Hansen <1+dhansen-nvidia@users.noreply.github.com> Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com> --- .../configuring-cpu-affinity.md | 208 ++++++++++++++++++ docs/source/index.rst | 1 + 2 files changed, 209 insertions(+) create mode 100644 docs/source/deployment-guide/configuring-cpu-affinity.md diff --git a/docs/source/deployment-guide/configuring-cpu-affinity.md b/docs/source/deployment-guide/configuring-cpu-affinity.md new file mode 100644 index 000000000000..daccaf4e65ff --- /dev/null +++ b/docs/source/deployment-guide/configuring-cpu-affinity.md @@ -0,0 +1,208 @@ +# CPU Affinity configuration in TensorRT-LLM + +## NUMA-aware affinity in TensorRT-LLM + +TensorRT-LLM is frequently deployed on +[NUMA](https://en.wikipedia.org/wiki/Non-uniform_memory_access) systems. In +order to ensure consistent and optimal performance on these systems, it is +critical to set the CPU affinity of the workers/tasks launched as part of a +particular TRT-LLM instance so as to minimize latency and maximize bandwidth of +CPU↔GPU and CPU↔DRAM communication. + +Because TensorRT-LLM does the work of allocating GPU/CUDA devices to ranks, it +is logically the ideal place for the CPU affinity to be determined and set. For +this reason, TensorRT-LLM provides a mechanism to automatically set CPU +affinity according to NUMA topology. In some situations/deployments, the user +may wish to configure CPU affinity manually (i.e. using +[numactl](https://github.com/numactl/numactl), [wrappers around the +same](https://github.com/NVIDIA/mlperf-common/blob/main/client/bindpcie), or +mpirun). For this reason, this feature is only activated if it is explicitly +enabled or if CPU affinity is not already constrained by the user or +environment. It is controlled by the TLLM_NUMA_AWARE_WORKER_AFFINITY +environment variable as follows: + + +| TLLM_NUMA_AWARE_WORKER_AFFINITY | Behavior | +|---------------------------------|------------------------------------------------------------------------------------------------------------------------------| +| | Affinity is auto-configured if it is unconstrained, and cleared if it is constrained by the user and/or environment | +| 1 | Affinity is unconditionally auto-configured. | +| 0 or any other value | Affinity remains as configured by the user and/or environment | + + +## Other environmental considerations + +Whether or not the user chooses to manually configure CPU affinity or have +TensorRT-LLM configure it automatically, the environment can also constrain the +CPU affinity in a way that subverts the user's intent. Both OpenMPI and Slurm +may configure CPU affinity, so the following additional configuration is +recommended to avoid this. + +### OpenMPI + +By default, OpenMPI chooses a rank-wise CPU affinity that is not sensitized to +the NUMA-topology of the system. Because it does not know which GPU a +particular rank will be communicating with (this is determined by TRT-LLM at +runtime), it cannot set the CPU affinity accordingly. For this reason, it is +recommended that OpenMPI's default binding policy be disabled as follows: + +```bash +export OMPI_MCA_hwloc_base_binding_policy=none +export OMPI_MCA_rmaps_base_inherit=1 +``` + +The first environment variable ensures that OpenMPI will not attempt to bind or +set the affinity of the ranks that are created at launch. + +The second ensures that OpenMPI's binding policy will propagate to MPI workers +that are spawned by `mpi4py`'s `MPIPoolExecutor` class within TensorRT-LLM +(when using mpirun). + +### Slurm + +If Slurm is configured to use a affinity or cgroup task plugin, then Slurm may +also configure CPU affinity by default in a way that is not sensitized to NUMA +topology. To prevent this, Slurm jobs should be launched accordingly: + +#### srun + +The srun parameters should include `--cpu-bind=none` and exclude `--exclusive`: + +```bash +srun --cpu-bind=none ... +``` + +#### sbatch + +The sbatch script should set `SLURM_CPU_BIND` environment variable to "none": + +```bash +export SLURM_CPU_BIND=none +``` + +Note: if this environment variable is set, it is not necessary to supply the +`--cpu-bind=none` to each job step (srun invocation) + +## CPU affinity configuration examples + +### Using NUMA-aware autoconfiguration + +To explicitly enable the NUMA-aware autoconfiguration feature in TensorRT-LLM, +simply set `TLLM_NUMA_AWARE_WORKER_AFFINITY` in the launch script (prior to +`trtllm-bench` or `trtllm-serve`) as follows: + +```bash +export TLLM_NUMA_AWARE_WORKER_AFFINITY=1 +``` + +Because autoconfiguration happens within TensorRT-LLM itself, it will override +any CPU affinity or binding that has been previously set by OpenMPI or Slurm. + +### NUMA-aware CPU affinity using [bindpcie](https://github.com/NVIDIA/mlperf-common/blob/main/client/bindpcie) + +The bindpcie script is designed to set a per-rank CPU affinity that is ideal +for NUMA topology. While setting `TLLM_NUMA_AWARE_WORKER_AFFINITY=1` usually +achieves the same result in terms of the CPU affinity that is set, this +approach has the distinct advantage that the optimal CPU affinity gets set +_upon launching_ TensorRT-LLM, guaranteeing that each worker/rank executes on +the optimal NUMA node from inception. The NUMA-aware CPU affinity +autoconfiguration mechanism in TensorRT-LLM, on the other hand, is triggered by +each worker/rank upon its own PID _after_ it has already launched. If the +worker/rank executes on a NUMA node other than the optimal NUMA node at some +point between the launch of the process and the NUMA-aware autoconfiguration, +it is possible that some CPU memory may have been allocated/touched on what +will become a remote NUMA node after the point of autoconfiguration, +potentially negatively impacting performance. In practice, this effect has been +observed to have minimal performance impact, but some degradation of +performance due to remote NUMA node access is still theoretically possible. + +The `bindpcie` script can only be applied to deployments that make use of +`trtllm-llmapi-launch` within an sbatch script. One example of how to apply +bindpcie to `trtllm-serve` in an sbatch script is as follows: + +```bash +# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 + +# Prevent OpenMPI from overriding affinity set by bindpcie +export OMPI_MCA_hwloc_base_binding_policy=none + +# Ensure that MPI binding policy propagates to any MPI workers dynamically +# spawned by MPIPoolExecutor +export OMPI_MCA_rmaps_base_inherit=1 + +# Prevent Slurm from assigning a default CPU affinity +export SLURM_CPU_BIND=none + +srun -l \ + --container-image=${CONTAINER_IMAGE} \ + --container-mounts=${MOUNT_DIR}:${MOUNT_DEST} \ + --container-workdir=${WORKDIR} \ + --export=ALL,PYTHONPATH=${SOURCE_ROOT} \ + --mpi=pmix \ + bash -c " + set -ex + $PROLOGUE + export PATH=$PATH:~/.local/bin + + bindpcie trtllm-llmapi-launch \ + trtllm-serve $LOCAL_MODEL \ + ${ADDITIONAL_OPTIONS} +``` + +> [!NOTE] +> This is not a complete or exhaustive example of an sbatch script to launch +> trtllm-serve and is only intended to highlight the application of bindpcie +> within an existing sbatch script. + +### Using [numactl](https://github.com/numactl/numactl) + +```bash +# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 + +# Prevent OpenMPI from overriding affinity set by numactl +export OMPI_MCA_hwloc_base_binding_policy=none + +# Ensure that MPI binding policy propagates to any MPI workers dynamically +# spawned by MPIPoolExecutor +export OMPI_MCA_rmaps_base_inherit=1 + +# Use numactl to specify CPU and memory binding for all ranks (not per-rank) +numactl --physcpubind=0,1,16,17 --membind=0 mpirun --report-bindings --oversubscribe --allow-run-as-root \ + +``` + +### Using mpirun + +If a manually-specified per-rank CPU affinity is desired when running on a +single node with mpirun, this can be achieved most easily using an OpenMPI +rankfile. The following is an example of how a rankfile can be used to +arbitrarily map each of 4 MPI ranks to a distinct set of 4 cores: + +```bash +# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 + +# Not strictly needed here, since we are overriding with explicit bindings from +# a rankfile +# export OMPI_MCA_hwloc_base_binding_policy=none + +# Ensure that MPI binding policy propagates to any MPI workers dynamically +# spawned by MPIPoolExecutor +export OMPI_MCA_rmaps_base_inherit=1 + +# Create a rankfile to enumerate a set of 4 cores to which each rank is bound +cat > ./rankfile < +``` + +See the official [OpenMPI Documentation](https://www.open-mpi.org/doc/) for +more details on mapping and binding of MPI ranks. diff --git a/docs/source/index.rst b/docs/source/index.rst index 52c56be85e92..93603e3e1a38 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -26,6 +26,7 @@ Welcome to TensorRT LLM's Documentation! examples/trtllm_serve_examples examples/dynamo_k8s_example.rst deployment-guide/index.rst + deployment-guide/configuring-cpu-affinity.md .. toctree:: :maxdepth: 2 From 3d3b30c7445cec95724487e0b41505a8921b5bc3 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 31 Jan 2026 04:23:51 +0000 Subject: [PATCH 094/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 6 +++--- .../examples/auto_deploy/poetry.lock | 12 ++++++------ .../examples/draft_target_model/poetry.lock | 6 +++--- security_scanning/examples/eagle/poetry.lock | 6 +++--- .../examples/llm-eval/lm-eval-harness/poetry.lock | 6 +++--- security_scanning/examples/lookahead/poetry.lock | 6 +++--- security_scanning/examples/medusa/poetry.lock | 6 +++--- .../examples/models/contrib/baichuan/poetry.lock | 6 +++--- .../examples/models/contrib/bloom/poetry.lock | 6 +++--- .../models/contrib/chatglm-6b/poetry.lock | 6 +++--- .../models/contrib/chatglm2-6b/poetry.lock | 6 +++--- .../models/contrib/chatglm3-6b-32k/poetry.lock | 6 +++--- .../examples/models/contrib/dbrx/poetry.lock | 6 +++--- .../models/contrib/deepseek_v1/poetry.lock | 6 +++--- .../models/contrib/deepseek_v2/poetry.lock | 6 +++--- .../examples/models/contrib/falcon/poetry.lock | 8 ++++---- .../examples/models/contrib/falcon/pyproject.toml | 2 +- .../examples/models/contrib/gptj/poetry.lock | 6 +++--- .../examples/models/contrib/gptneox/poetry.lock | 6 +++--- .../examples/models/contrib/grok/poetry.lock | 6 +++--- .../models/contrib/hyperclovax/poetry.lock | 6 +++--- .../examples/models/contrib/internlm/poetry.lock | 6 +++--- .../examples/models/contrib/jais/poetry.lock | 6 +++--- .../examples/models/contrib/mmdit/poetry.lock | 6 +++--- .../examples/models/contrib/mpt/poetry.lock | 6 +++--- .../examples/models/contrib/opt/poetry.lock | 6 +++--- .../examples/models/contrib/skywork/poetry.lock | 6 +++--- .../examples/models/contrib/smaug/poetry.lock | 6 +++--- .../examples/models/contrib/stdit/poetry.lock | 12 ++++++------ .../examples/models/core/commandr/poetry.lock | 6 +++--- .../examples/models/core/gemma/poetry.lock | 6 +++--- .../examples/models/core/glm-4-9b/poetry.lock | 6 +++--- .../examples/models/core/gpt/poetry.lock | 6 +++--- .../examples/models/core/llama/poetry.lock | 6 +++--- .../examples/models/core/mamba/poetry.lock | 6 +++--- .../examples/models/core/mixtral/poetry.lock | 6 +++--- .../examples/models/core/mllama/poetry.lock | 6 +++--- .../examples/models/core/nemotron/poetry.lock | 6 +++--- .../examples/models/core/phi/poetry.lock | 6 +++--- .../examples/models/core/qwen/poetry.lock | 6 +++--- .../examples/models/core/qwen2audio/poetry.lock | 6 +++--- .../examples/models/core/qwenvl/poetry.lock | 6 +++--- .../models/core/recurrentgemma/poetry.lock | 6 +++--- .../examples/models/core/whisper/poetry.lock | 15 ++++++++------- security_scanning/examples/ngram/poetry.lock | 6 +++--- .../examples/quantization/poetry.lock | 6 +++--- security_scanning/examples/redrafter/poetry.lock | 6 +++--- security_scanning/examples/serve/poetry.lock | 6 +++--- .../examples/trtllm-eval/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 6 +++--- security_scanning/triton_backend/poetry.lock | 6 +++--- 52 files changed, 165 insertions(+), 164 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 2404d76fa902..02e20b0787ed 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -471,14 +471,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 6a0c9a394742..e4fb39215085 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -3906,14 +3906,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] @@ -4186,14 +4186,14 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.5.2" +version = "0.5.3" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.5.2-py3-none-any.whl", hash = "sha256:46912178a64217749bf3426b21e36e849fbc46e05c949407b3e364d9f7ffcadf"}, - {file = "wcwidth-0.5.2.tar.gz", hash = "sha256:c022c39a02a0134d1e10810da36d1f984c79648181efcc70a389f4569695f5ae"}, + {file = "wcwidth-0.5.3-py3-none-any.whl", hash = "sha256:d584eff31cd4753e1e5ff6c12e1edfdb324c995713f75d26c29807bb84bf649e"}, + {file = "wcwidth-0.5.3.tar.gz", hash = "sha256:53123b7af053c74e9fe2e92ac810301f6139e64379031f7124574212fb3b4091"}, ] [[package]] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 66a1003a7eb9..071c95325ee4 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = 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"sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 87beb368cbf5..ae937dcc00e5 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -3619,14 +3619,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = 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optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 4fce2cad0602..022bbd84521b 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index a48d746db5d8..034473e15bc1 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -2098,14 +2098,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index a48d746db5d8..034473e15bc1 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -2098,14 +2098,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index a48d746db5d8..034473e15bc1 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -2098,14 +2098,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 8fb6d6c1a505..3a5a4fd389f3 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1978,14 +1978,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index f6e0d8c38b87..ed9233e15d95 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 05231285800c..cf1760aab364 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -2009,14 +2009,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] @@ -2455,4 +2455,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "f4f7f149b67a405fbb30d8cde4e95adfa937a1aada7f8bf670445dc151d1c3bb" +content-hash = "ceec65525939f27ec1ec2892b4c6423a0df02d8d52317733a2f5eb7bd07e83e5" diff --git a/security_scanning/examples/models/contrib/falcon/pyproject.toml b/security_scanning/examples/models/contrib/falcon/pyproject.toml index 062a73b43a21..2afa5a9c4819 100644 --- a/security_scanning/examples/models/contrib/falcon/pyproject.toml +++ b/security_scanning/examples/models/contrib/falcon/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "evaluate (>=0.4.6,<0.5.0)", "rouge-score (>=0.1.2,<0.2.0)", "sentencepiece (>=0.1.99)", - "tqdm (>=4.67.1,<5.0.0)" + "tqdm (>=4.67.2,<5.0.0)" ] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = 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"tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 4969400dade7..4ab40bced5fb 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -2951,14 +2951,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = 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{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 4fce2cad0602..022bbd84521b 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 0a5ed6a9e5b9..4e5055ff04d8 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -996,14 +996,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 4fce2cad0602..022bbd84521b 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 4fce2cad0602..022bbd84521b 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 3e8b036ac995..8fe39aa3cd25 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2329,14 +2329,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] @@ -2496,14 +2496,14 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "wcwidth" -version = "0.5.2" +version = "0.5.3" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "wcwidth-0.5.2-py3-none-any.whl", hash = "sha256:46912178a64217749bf3426b21e36e849fbc46e05c949407b3e364d9f7ffcadf"}, - {file = "wcwidth-0.5.2.tar.gz", hash = "sha256:c022c39a02a0134d1e10810da36d1f984c79648181efcc70a389f4569695f5ae"}, + {file = "wcwidth-0.5.3-py3-none-any.whl", hash = "sha256:d584eff31cd4753e1e5ff6c12e1edfdb324c995713f75d26c29807bb84bf649e"}, + {file = "wcwidth-0.5.3.tar.gz", hash = "sha256:53123b7af053c74e9fe2e92ac810301f6139e64379031f7124574212fb3b4091"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index fa03b8cca83d..781ca66e046a 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -2989,14 +2989,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index a48d746db5d8..034473e15bc1 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -2098,14 +2098,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 4fce2cad0602..022bbd84521b 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index fa39813ca6a1..efed28393694 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -2009,14 +2009,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 57188d968231..56b3e1bf1e4e 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -2009,14 +2009,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 0f4ec3d08577..2888864eab4e 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -1309,14 +1309,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index e455c4de96a1..a32802b71d66 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1798,14 +1798,14 @@ scipy = ["scipy"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index c5994e45d7a0..d86cf2ee773b 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 9aac82fd6ee0..5e011af729ee 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1990,14 +1990,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index a24281dcc0d3..10d19296c1c8 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -3122,14 +3122,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index d04c9d237edb..79e719c795d5 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -2179,14 +2179,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index e5b4fb9258f9..7dbf03b5bb7e 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -3364,14 +3364,14 @@ scipy = ["scipy"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 4276f136e816..84ba67a422bf 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -2782,14 +2782,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index b3463db3f05f..8fd53e8bbd0b 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -2141,14 +2141,14 @@ type = ["mypy (>=1.18.2)"] [[package]] name = "pooch" -version = "1.8.2" +version = "1.9.0" description = "A friend to fetch your data files" optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "pooch-1.8.2-py3-none-any.whl", hash = "sha256:3529a57096f7198778a5ceefd5ac3ef0e4d06a6ddaf9fc2d609b806f25302c47"}, - {file = "pooch-1.8.2.tar.gz", hash = "sha256:76561f0de68a01da4df6af38e9955c4c9d1a5c90da73f7e40276a5728ec83d10"}, + {file = "pooch-1.9.0-py3-none-any.whl", hash = "sha256:f265597baa9f760d25ceb29d0beb8186c243d6607b0f60b83ecf14078dbc703b"}, + {file = "pooch-1.9.0.tar.gz", hash = "sha256:de46729579b9857ffd3e741987a2f6d5e0e03219892c167c6578c0091fb511ed"}, ] [package.dependencies] @@ -2159,6 +2159,7 @@ requests = ">=2.19.0" [package.extras] progress = ["tqdm (>=4.41.0,<5.0.0)"] sftp = ["paramiko (>=2.7.0)"] +test = ["pytest-httpserver", "pytest-localftpserver"] xxhash = ["xxhash (>=1.4.3)"] [[package]] @@ -3280,14 +3281,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index 0466ad3f3860..241d0773d7dc 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -1995,14 +1995,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 5c569de584af..08f37dbbc896 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -2070,14 +2070,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 66a1003a7eb9..071c95325ee4 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index f8350e8fb00b..03d8ede052fe 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -3953,14 +3953,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.1" +version = "4.67.2" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, - {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, + {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, + {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, ] [package.dependencies] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index a4ca62082589..207511dff998 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -3621,14 +3621,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.1" 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.../examples/models/contrib/bloom/poetry.lock | 2 +- .../examples/models/contrib/chatglm-6b/poetry.lock | 2 +- .../examples/models/contrib/chatglm2-6b/poetry.lock | 2 +- .../examples/models/contrib/chatglm3-6b-32k/poetry.lock | 2 +- .../examples/models/contrib/dbrx/poetry.lock | 2 +- .../examples/models/contrib/deepseek_v1/poetry.lock | 2 +- .../examples/models/contrib/deepseek_v2/poetry.lock | 2 +- .../examples/models/contrib/falcon/poetry.lock | 2 +- .../examples/models/contrib/gptj/poetry.lock | 2 +- .../examples/models/contrib/gptneox/poetry.lock | 2 +- .../examples/models/contrib/grok/poetry.lock | 8 ++++---- .../examples/models/contrib/hyperclovax/poetry.lock | 2 +- .../examples/models/contrib/internlm/poetry.lock | 2 +- .../examples/models/contrib/jais/poetry.lock | 2 +- .../examples/models/contrib/mmdit/poetry.lock | 2 +- security_scanning/examples/models/contrib/mpt/poetry.lock | 2 +- security_scanning/examples/models/contrib/opt/poetry.lock | 2 +- .../examples/models/contrib/skywork/poetry.lock | 2 +- .../examples/models/contrib/smaug/poetry.lock | 2 +- .../examples/models/contrib/stdit/poetry.lock | 2 +- .../examples/models/core/commandr/poetry.lock | 2 +- security_scanning/examples/models/core/gemma/poetry.lock | 8 ++++---- .../examples/models/core/glm-4-9b/poetry.lock | 2 +- security_scanning/examples/models/core/gpt/poetry.lock | 2 +- .../examples/models/core/internlm2/poetry.lock | 2 +- security_scanning/examples/models/core/llama/poetry.lock | 2 +- security_scanning/examples/models/core/mamba/poetry.lock | 2 +- .../examples/models/core/mixtral/poetry.lock | 2 +- security_scanning/examples/models/core/mllama/poetry.lock | 8 ++++---- .../examples/models/core/nemotron/poetry.lock | 2 +- security_scanning/examples/models/core/phi/poetry.lock | 2 +- security_scanning/examples/models/core/qwen/poetry.lock | 8 ++++---- .../examples/models/core/qwen2audio/poetry.lock | 2 +- security_scanning/examples/models/core/qwenvl/poetry.lock | 2 +- .../examples/models/core/recurrentgemma/poetry.lock | 8 ++++---- .../examples/models/core/whisper/poetry.lock | 2 +- security_scanning/examples/ngram/poetry.lock | 2 +- security_scanning/examples/quantization/poetry.lock | 2 +- security_scanning/examples/ray_orchestrator/poetry.lock | 2 +- security_scanning/examples/redrafter/poetry.lock | 2 +- .../examples/scaffolding/contrib/Dynasor/poetry.lock | 2 +- security_scanning/examples/serve/poetry.lock | 2 +- security_scanning/examples/trtllm-eval/poetry.lock | 2 +- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 8 ++++---- security_scanning/tests/integration/defs/perf/poetry.lock | 2 +- security_scanning/triton_backend/poetry.lock | 2 +- 58 files changed, 80 insertions(+), 80 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index 3a6517723f4d..dc871e1e3b62 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ 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[[package]] name = "absl-py" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 3ab2e118dd26..4c44c4c32e5a 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/longbench/poetry.lock b/security_scanning/examples/longbench/poetry.lock index ade8936c46b2..a0d2aa72be3f 100644 --- a/security_scanning/examples/longbench/poetry.lock +++ b/security_scanning/examples/longbench/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "fuzzywuzzy" diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 679e294230cc..088b5f363117 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 679e294230cc..088b5f363117 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index b35856a9bb2f..f5f54dae0545 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index ab561d9515b4..7fd7083ffd6d 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index 284937f7f0cd..71ef7e6b9523 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index 284937f7f0cd..71ef7e6b9523 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 284937f7f0cd..71ef7e6b9523 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 6f7904bfb606..6f80fdc12cf7 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index abbfa69dc557..9350083075a9 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index cf1760aab364..d9302b845645 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index dca78eb9d24f..d18788d765b5 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 5d1491174e41..0e77db9dd979 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -2558,14 +2558,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index e295346d57be..363fcb819d98 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "anyio" diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 679e294230cc..088b5f363117 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index ab561d9515b4..7fd7083ffd6d 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 4e5055ff04d8..dc4382c8b922 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "anyio" diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index ab561d9515b4..7fd7083ffd6d 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index ab561d9515b4..7fd7083ffd6d 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 2555d630a033..a2a1815f884c 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "anyio" diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 781ca66e046a..85d7edfb5720 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -2342,14 +2342,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 284937f7f0cd..71ef7e6b9523 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index ab561d9515b4..7fd7083ffd6d 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/internlm2/poetry.lock b/security_scanning/examples/models/core/internlm2/poetry.lock index 94d46a3bb590..81fa0c2b8f0d 100644 --- a/security_scanning/examples/models/core/internlm2/poetry.lock +++ b/security_scanning/examples/models/core/internlm2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "einops" diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index efed28393694..9bbc4e8a470d 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 56b3e1bf1e4e..8f3ced60b617 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 2888864eab4e..9d6b2a317605 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "accelerate" diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index a32802b71d66..bd1a4869a331 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "annotated-types" @@ -1462,14 +1462,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index b448bcc98288..1bdfa70c2d92 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 94e6de9e9dcc..fe391de5ccec 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index a901ba933fd4..d6a64991b1a8 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -2690,15 +2690,15 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] markers = "sys_platform != \"emscripten\"" files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index fe620e4cf539..4dad66d21191 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 5bbcc9dcd46e..1eb16556cae1 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 84ba67a422bf..0bc5a5d86f19 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -2299,14 +2299,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index 8fd53e8bbd0b..99b2427e227a 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index 571c8833d43b..d15a41a6a1f9 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index d4cf91d5a6fe..34bb5cf8939b 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index 13f487a5a134..fa0363ed23fe 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 679e294230cc..088b5f363117 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock index 06c514d329b9..16d02930471f 100644 --- a/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock +++ b/security_scanning/examples/scaffolding/contrib/Dynasor/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "antlr4-python3-runtime" diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 03d8ede052fe..7afd7207cd45 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "aiofiles" diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index e8387e44b7ea..422b10f1ebda 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "absl-py" diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index c883b17763bd..37783d77a228 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "3d3b30c7445cec95724487e0b41505a8921b5bc3", - "timestamp": "2026-02-01T04:03:32Z" + "commit_hash": "66c017f43977949960fac135307d8865e0ba1c9c", + "timestamp": "2026-02-02T04:01:10Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 2845d932a377..ab70cbafe72e 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "accelerate" @@ -5301,14 +5301,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "rich" -version = "14.3.1" +version = "14.3.2" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "rich-14.3.1-py3-none-any.whl", hash = "sha256:da750b1aebbff0b372557426fb3f35ba56de8ef954b3190315eb64076d6fb54e"}, - {file = "rich-14.3.1.tar.gz", hash = "sha256:b8c5f568a3a749f9290ec6bddedf835cec33696bfc1e48bcfecb276c7386e4b8"}, + {file = "rich-14.3.2-py3-none-any.whl", hash = "sha256:08e67c3e90884651da3239ea668222d19bea7b589149d8014a21c633420dbb69"}, + {file = "rich-14.3.2.tar.gz", hash = "sha256:e712f11c1a562a11843306f5ed999475f09ac31ffb64281f73ab29ffdda8b3b8"}, ] [package.dependencies] diff --git a/security_scanning/tests/integration/defs/perf/poetry.lock b/security_scanning/tests/integration/defs/perf/poetry.lock index 4f2e4a85c173..9fe8018d3feb 100644 --- a/security_scanning/tests/integration/defs/perf/poetry.lock +++ b/security_scanning/tests/integration/defs/perf/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "contourpy" diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index d588396eee41..b828697c1ebb 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand. [[package]] name = "certifi" From 0fa4d4e50c27b02cdea6a91e93645bcc943094e7 Mon Sep 17 00:00:00 2001 From: dominicshanshan <30051912+dominicshanshan@users.noreply.github.com> Date: Mon, 2 Feb 2026 14:47:41 +0800 Subject: [PATCH 097/241] [https://nvbugs/5823465][fix] Add CUTEDSL moe backend for deepseek r1 nvfp4 checkpoint in stress test (#10920) Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com> --- .../defs/stress_test/stress_test.py | 66 +++++++++++++++++-- .../test_lists/qa/llm_function_stress.txt | 10 ++- 2 files changed, 67 insertions(+), 9 deletions(-) diff --git a/tests/integration/defs/stress_test/stress_test.py b/tests/integration/defs/stress_test/stress_test.py index f5fed7b0ebbb..2de8a3880199 100644 --- a/tests/integration/defs/stress_test/stress_test.py +++ b/tests/integration/defs/stress_test/stress_test.py @@ -378,7 +378,7 @@ def is_port_available(port: int, ["GUARANTEED_NO_EVICT", "MAX_UTILIZATION"], ids=lambda x: x) @pytest.mark.parametrize("stress_time_timeout", [(180, 300), (300, 450), - (600, 900), (3600, 5400)], + (600, 900), (3600, 10800)], ids=lambda x: f"stress_time_{x[0]}s_timeout_{x[1]}s") @pytest.mark.parametrize( "config", @@ -393,10 +393,22 @@ def is_port_available(port: int, memory_requirement=12), # Configuration for DeepSeek-V3 model ModelConfig(model_dir="DeepSeek-V3", tp_size=8, memory_requirement=96), - # Configuration for DeepSeek-R1 model + # Configuration for DeepSeek-R1 model with FP8 checkpoints (8 GPU setup) ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1", tp_size=8, memory_requirement=96), + # Configuration for DeepSeek-R1 model with FP8 checkpoints (4 GPU setup, requires GB300 288GB) + ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1", + tp_size=4, + memory_requirement=256), + # Configuration for DeepSeek-R1 model with NVFP4 checkpoints (8 GPU setup) + ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1-0528-FP4", + tp_size=8, + memory_requirement=96), + # Configuration for DeepSeek-R1 model with NVFP4 checkpoints (4 GPU setup) + ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1-0528-FP4", + tp_size=4, + memory_requirement=168), ], ids=lambda x: f"{os.path.basename(x.model_dir)}_tp{x.tp_size}") def test_run_stress_test(config, stress_time_timeout, backend, @@ -506,19 +518,20 @@ def stress_test(config, 36000 # 10 hours for DeepSeek-V3 or DeepSeek-R1, change this value if needed ) - # For DeepSeek-V3 specific server parameters + # For DeepSeek-V3 or DeepSeek-R1 specific server parameters if "DeepSeek-V3" in config.model_dir or "DeepSeek-R1" in config.model_dir: test_server_config = ServerConfig( port=test_server_config.port, host=test_server_config.host, pp_size=test_server_config.pp_size, - ep_size=8, # DeepSeek-V3 or DeepSeek-R1 specific ep_size + ep_size=config. + tp_size, # ep_size matches tp_size for DeepSeek models max_batch_size= 2048, # DeepSeek-V3 or DeepSeek-R1 specific max_batch_size max_num_tokens= - 2048, # DeepSeek-V3 or DeepSeek-R1 specific max_num_tokens + 8192, # DeepSeek-V3 or DeepSeek-R1 specific max_num_tokens kv_cache_free_gpu_memory_fraction= - 0.7, # DeepSeek-V3 or DeepSeek-R1 specific kv_cache fraction + 0.85, # DeepSeek-V3 or DeepSeek-R1 specific kv_cache fraction capacity_scheduler_policy=test_server_config. capacity_scheduler_policy, wait_interval=test_server_config.wait_interval, @@ -583,6 +596,35 @@ def stress_test(config, extra_llm_options["enable_attention_dp"] = True + # Set MOE backend based on GPU architecture and checkpoint type + # B200/GB200 (Blackwell, SM100+) with FP8 checkpoints: use DEEPGEMM backend + # B200/GB200 (Blackwell, SM100+) with NVFP4 checkpoints: use CUTEDSL backend + # H100/H200 (Hopper, SM90) with FP8 checkpoints: use CUTLASS backend (default) + try: + import torch + if torch.cuda.is_available(): + device_capability = torch.cuda.get_device_capability(0) + is_blackwell = device_capability[0] >= 10 + is_nvfp4 = "FP4" in config.model_dir.upper() + + if is_blackwell: + if is_nvfp4: + moe_backend = "CUTEDSL" + else: + moe_backend = "DEEPGEMM" + + extra_llm_options["moe_config"] = { + "backend": moe_backend, + } + checkpoint_type = "NVFP4" if is_nvfp4 else "FP8" + print_info( + f"Detected GPU architecture is SM{device_capability[0]}{device_capability[1]} (Blackwell), " + f"using {moe_backend} MOE backend for DeepSeek-R1/DeepSeek-V3 with {checkpoint_type} checkpoints" + ) + except Exception as e: + print_warning(f"Failed to detect GPU architecture: {e}. " + "Using default MOE backend (CUTLASS).") + if config.backend == "pytorch": extra_llm_options.update({ "cuda_graph_config": { @@ -1047,6 +1089,18 @@ def stress_stage(model_name, request_count = int(stress_request_rate * stress_time) test_timeout = stress_config.stress_timeout + # Cap request count for large MoE models (DeepSeek-V3/R1) to prevent timeout + if "DeepSeek-V3" in model_path or "DeepSeek-R1" in model_path: + max_sustainable_rate = 3.0 # req/s - conservative estimate + max_request_count = int(max_sustainable_rate * + stress_config.stress_time) + if request_count > max_request_count: + print_info( + f"Capping request_count from {request_count} to {max_request_count} " + f"for DeepSeek V3/R1 model (sustainable rate: {max_sustainable_rate} req/s)" + ) + request_count = max_request_count + print_info( f"Running stress test with concurrency={stress_concurrency}, request_count={request_count}" ) diff --git a/tests/integration/test_lists/qa/llm_function_stress.txt b/tests/integration/test_lists/qa/llm_function_stress.txt index a4f744b469d6..05fb1a19d163 100644 --- a/tests/integration/test_lists/qa/llm_function_stress.txt +++ b/tests/integration/test_lists/qa/llm_function_stress.txt @@ -1,6 +1,10 @@ -stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_5400s-GUARANTEED_NO_EVICT-pytorch-stress-test-with-accuracy] -stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] -stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp8-stress_time_3600s_timeout_5400s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_10800s-GUARANTEED_NO_EVICT-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-V3_tp8-stress_time_3600s_timeout_10800s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp8-stress_time_3600s_timeout_10800s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp4-stress_time_3600s_timeout_10800s-GUARANTEED_NO_EVICT-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1_tp4-stress_time_3600s_timeout_10800s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1-0528-FP4_tp4-stress_time_3600s_timeout_10800s-GUARANTEED_NO_EVICT-pytorch-stress-test-with-accuracy] +stress_test/stress_test.py::test_run_stress_test[DeepSeek-R1-0528-FP4_tp4-stress_time_3600s_timeout_10800s-MAX_UTILIZATION-pytorch-stress-test-with-accuracy] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-deepseek_r1_v2_fp4_stress] disaggregated/test_disaggregated.py::test_disaggregated_stress_test[input8k-output1k-conc512-gpt_oss_120b_stress] accuracy/test_llm_api_pytorch.py::TestDeepSeekR1LongBenchV2::test_fp8_8gpus From a459360e2e6adaa3ee2bcf9e37c5c462a0f28452 Mon Sep 17 00:00:00 2001 From: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com> Date: Mon, 2 Feb 2026 15:32:05 +0800 Subject: [PATCH 098/241] [https://nvbugs/5787904][fix] update mig tests (#11014) Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com> --- tests/integration/defs/test_e2e.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/tests/integration/defs/test_e2e.py b/tests/integration/defs/test_e2e.py index 4a27fc997d07..3b71152a27a2 100644 --- a/tests/integration/defs/test_e2e.py +++ b/tests/integration/defs/test_e2e.py @@ -516,6 +516,7 @@ def prepare_dataset(self): str(self.num_requests), ] print(f"Running command: {' '.join(command)}") + subprocess.run(command, check=True, env=self.llm_venv._new_env) def build_engine(self): if self.skip_engine_build: @@ -629,11 +630,8 @@ def test_trtllm_bench_llmapi_launch(llm_root, llm_venv, model_name, ids=["llama3_1-8b"]) @pytest.mark.parametrize("model_subdir", ["llama-3.1-model/Meta-Llama-3.1-8B"], ids=["llama_v3_1"]) -@pytest.mark.parametrize("use_pytorch_backend", [False], ids=["trt_backend"]) -def test_trtllm_bench_mig_launch(llm_root, llm_venv, model_name, model_subdir, - use_pytorch_backend): +def test_trtllm_bench_mig_launch(llm_root, llm_venv, model_name, model_subdir): "run bench mark in MIG mode, check if the throughput is increasing by concurrency" - skip_engine_build = False results = {} concurrency_list = [1, 32, 64, 128] @@ -644,19 +642,17 @@ def test_trtllm_bench_mig_launch(llm_root, llm_venv, model_name, model_subdir, model_name=model_name, model_subdir=model_subdir, streaming=False, - use_pytorch_backend=use_pytorch_backend, + use_pytorch_backend=True, use_mpirun=False, tp_size=1, concurrency=concurrency, - num_requests=num_requests, - skip_engine_build=skip_engine_build) + num_requests=num_requests) output = runner() results[concurrency] = output print(f"\n=== Benchmark Results Comparison ===") print(f"Model: {model_name}") - print(f"Backend: {'PyTorch' if use_pytorch_backend else 'TensorRT'}") print( f"{'Concurrency':<15} {'Throughput':<15} {'Latency':<15} {'Num Requests':<15}" ) From 272fee95fff19d35ebaccd2ca20e82f3bf7d1b3c Mon Sep 17 00:00:00 2001 From: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> Date: Mon, 2 Feb 2026 16:18:41 +0800 Subject: [PATCH 099/241] [https://nvbugs/5819444][fix] Unwaive gpt-oss test (#10927) Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - tests/unittest/llmapi/apps/_test_openai_chat_harmony.py | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index e2bcbb9bedcb..d1f78c78ca9c 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -346,7 +346,6 @@ accuracy/test_llm_api_pytorch.py::TestNemotronV3Super::test_auto_dtype_4gpus[4-4 examples/test_ray.py::test_llm_inference_distributed_ray[tp2pp2] SKIP (https://nvbugs/5781731) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[tp4-mtp_nextn=2-attention_dp=False-cuda_graph=False-overlap_scheduler=False-torch_compile=True] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-trtllm-auto] SKIP (https://nvbugs/5651865) -test_e2e.py::test_openai_chat_harmony SKIP (https://nvbugs/5819444) accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_bfloat16_4gpus[ep4-mtp_nextn=2-attention_dp=True-cuda_graph=True-overlap_scheduler=True-torch_compile=False] SKIP (https://nvbugs/5800646) accuracy/test_llm_api_pytorch.py::TestLlama4ScoutInstruct::test_fp4[tp4-cuda_graph=True] SKIP (https://nvbugs/5820734) llmapi/test_llm_examples.py::test_llmapi_tensorrt_engine SKIP (https://nvbugs/5820553) diff --git a/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py b/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py index 5eadaf88ae79..e247cb21d9aa 100644 --- a/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py +++ b/tests/unittest/llmapi/apps/_test_openai_chat_harmony.py @@ -160,6 +160,7 @@ async def test_streaming(client: openai.AsyncOpenAI, model: str): "content": "Explain the theory of relativity in brief." }], stream=True, + extra_body={"top_k": 1}, ) collected_messages = [] first_iteration = True From 59e30a68ecfccc8f978a42861dab283e8c5806ed Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Mon, 2 Feb 2026 17:05:00 +0800 Subject: [PATCH 100/241] [None][infra] Waive failed cases for release branch on 02/02 (#11182) Signed-off-by: qqiao --- tests/integration/test_lists/waives.txt | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index d1f78c78ca9c..90d265d2da94 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -356,3 +356,5 @@ unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[lim accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] SKIP (https://nvbugs/5839155) disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-v3-8b-hf] SKIP (https://nvbugs/5839137) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) +accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) +unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_online_eplb288_topk_input[RoutingDSv3-1024-1024-256] SKIP (https://nvbugs/5859881) From 343b608c1dd9a47c839a8fed5f057f6d45b78b12 Mon Sep 17 00:00:00 2001 From: mpikulski <206748156+ixlmar@users.noreply.github.com> Date: Mon, 2 Feb 2026 13:02:36 +0100 Subject: [PATCH 101/241] [https://nvbugs/5739981][fix] unwaive tests using opt-125M (#11099) Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 4 ---- 1 file changed, 4 deletions(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 90d265d2da94..fa6591f49ff4 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -253,16 +253,12 @@ full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::tes full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[xgrammar-mtp_nextn=2] SKIP (https://nvbugs/5748600) full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=0] SKIP (https://nvbugs/5748600) full:RTXPro6000D/accuracy/test_disaggregated_serving.py::TestDeepSeekV3Lite::test_guided_decoding[llguidance-mtp_nextn=2] SKIP (https://nvbugs/5748600) -unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_llm_api[False] SKIP (https://nvbugs/5739981) -unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_llm_api[True] SKIP (https://nvbugs/5739981) -unittest/_torch/modeling/test_modeling_out_of_tree.py::TestOutOfTree::test_serve[True] SKIP (https://nvbugs/5739981) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=2] SKIP (https://nvbugs/5596337) full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_tp_pp_symmetric[MMLU-tp2pp2] SKIP (https://nvbugs/5596337) unittest/_torch/multi_gpu/test_allreduce.py::test_allreduce_fusion_patterns[2-residual_rms_norm_out_quant_fp8-hidden:7168-seqlen:8192] SKIP (https://nvbugs/5741392) unittest/executor/test_rpc.py::TestRpcCorrectness::test_incremental_task_async SKIP (https://nvbugs/5741476) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) test_e2e.py::test_trtllm_serve_multimodal_example SKIP (https://nvbugs/5747920) -triton_server/test_triton.py::test_opt[opt] SKIP (https://nvbugs/5739981) cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-2proc-mpi_kvcache-90] SKIP (https://nvbugs/5755941) examples/test_granite.py::test_llm_granite[granite-3.0-1b-a400m-instruct-bfloat16] SKIP (https://nvbugs/5608979) examples/test_granite.py::test_llm_granite[granite-3.0-2b-instruct-bfloat16] SKIP (https://nvbugs/5608979) From c4b2bbcd8de859e004e1d7eb4760b7bfb8b62560 Mon Sep 17 00:00:00 2001 From: Mike Iovine Date: Mon, 2 Feb 2026 10:35:51 -0500 Subject: [PATCH 102/241] [None][chore] Add warning about 2-model MTP deprecation (#11043) Signed-off-by: Mike Iovine --- tensorrt_llm/llmapi/llm_args.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tensorrt_llm/llmapi/llm_args.py b/tensorrt_llm/llmapi/llm_args.py index 1caeff83a22c..e078c1b29181 100644 --- a/tensorrt_llm/llmapi/llm_args.py +++ b/tensorrt_llm/llmapi/llm_args.py @@ -1132,6 +1132,12 @@ def __init__(self, **kwargs): self.max_total_draft_tokens = kwargs[ 'num_nextn_predict_layers'] # Current MTP only support linear tree + if not self.mtp_eagle_one_model: + logger.warning( + "2-model style MTP is deprecated. The mtp_eagle_one_model flag will do nothing " + "in release 1.3. After that, the flag will be removed entirely." + ) + @classmethod def from_dict(cls, data: dict): out = cls(**data) From ed3b8312dd4369ed120954f9e33b39713081bfcc Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 3 Feb 2026 04:26:17 +0000 Subject: [PATCH 103/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 206 +++++----- .../examples/auto_deploy/poetry.lock | 6 +- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 6 +- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 6 +- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 6 +- .../models/contrib/chatglm2-6b/poetry.lock | 6 +- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 6 +- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 6 +- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 156 ++++---- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 6 +- .../examples/models/core/glm-4-9b/poetry.lock | 6 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../examples/models/core/llama/poetry.lock | 6 +- .../examples/models/core/mamba/poetry.lock | 6 +- .../examples/models/core/mixtral/poetry.lock | 14 +- .../examples/models/core/mllama/poetry.lock | 14 +- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 362 +++++++++--------- .../models/core/qwen2audio/poetry.lock | 6 +- .../examples/models/core/qwenvl/poetry.lock | 6 +- .../models/core/recurrentgemma/poetry.lock | 6 +- .../examples/models/core/whisper/poetry.lock | 6 +- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 6 +- .../examples/ray_orchestrator/poetry.lock | 156 ++++---- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 15 +- .../examples/trtllm-eval/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 229 +++++------ security_scanning/triton_backend/poetry.lock | 14 +- 52 files changed, 712 insertions(+), 710 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index fc2f92edd5bc..24a2e69acec9 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -163,114 +163,114 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "jiter" -version = "0.12.0" +version = "0.13.0" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65"}, - {file = "jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = 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a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index f5f54dae0545..a842bbca2b20 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -808,14 +808,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = 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a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] 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+797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index 1bdfa70c2d92..3cc31c950231 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index d18788d765b5..cdc63c501bab 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = 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python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 088b5f363117..b151edc45b64 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = 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a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index dc4382c8b922..dcf0d8605521 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -388,14 +388,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = 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b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock 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files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 8f3ced60b617..a781cc3181f6 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 9d6b2a317605..a78f7b79a465 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -323,14 +323,14 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "0.36.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, - {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, + {file = "huggingface_hub-0.36.1-py3-none-any.whl", hash = "sha256:c6fa8a8f7b8559bc624ebb7e218fb72171b30f6049ebe08f8bfc2a44b38ece50"}, + {file = "huggingface_hub-0.36.1.tar.gz", hash = "sha256:5a3b8bf87e182ad6f1692c196bb9ec9ade7755311d5d5e792dc45045f77283ad"}, ] [package.dependencies] @@ -344,11 +344,11 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] +hf-transfer = ["hf_transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] @@ -356,7 +356,7 @@ oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] torch = ["safetensors[torch]", "torch"] typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index bd1a4869a331..426eaac43d8c 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -316,14 +316,14 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "0.36.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, - {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, + {file = "huggingface_hub-0.36.1-py3-none-any.whl", hash = "sha256:c6fa8a8f7b8559bc624ebb7e218fb72171b30f6049ebe08f8bfc2a44b38ece50"}, + {file = "huggingface_hub-0.36.1.tar.gz", hash = "sha256:5a3b8bf87e182ad6f1692c196bb9ec9ade7755311d5d5e792dc45045f77283ad"}, ] [package.dependencies] @@ -337,11 +337,11 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] +hf-transfer = ["hf_transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] @@ -349,7 +349,7 @@ oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] torch = ["safetensors[torch]", "torch"] typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index 1bdfa70c2d92..3cc31c950231 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.5-py3-none-any.whl", hash = "sha256:fe332d7f86a8af874768452295c22cd3f37730fb2463cf6cc3295e26036f8ef9"}, - {file = "huggingface_hub-1.3.5.tar.gz", hash = "sha256:8045aca8ddab35d937138f3c386c6d43a275f53437c5c64cdc9aa8408653b4ed"}, + {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, + {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index fe391de5ccec..0ffefd3dd042 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -809,14 +809,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.5" +version = "1.3.7" description = "Client library to download and publish models, datasets and other repos on the 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(>=1.1)"] ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"] @@ -3086,6 +3086,7 @@ polars = ["polars (>=0.20.4)"] pyarrow = ["pyarrow (>=13.0.0)"] pyspark = ["pyspark (>=3.5.0)"] pyspark-connect = ["pyspark[connect] (>=3.5.0)"] +sql = ["duckdb (>=1.1)", "sqlparse"] sqlframe = ["sqlframe (>=3.22.0,!=3.39.3)"] [[package]] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index b828697c1ebb..b490f1ef8aba 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -256,14 +256,14 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.36.0" +version = "0.36.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.0-py3-none-any.whl", hash = "sha256:7bcc9ad17d5b3f07b57c78e79d527102d08313caa278a641993acddcb894548d"}, - {file = "huggingface_hub-0.36.0.tar.gz", hash = "sha256:47b3f0e2539c39bf5cde015d63b72ec49baff67b6931c3d97f3f84532e2b8d25"}, + {file = "huggingface_hub-0.36.1-py3-none-any.whl", hash = "sha256:c6fa8a8f7b8559bc624ebb7e218fb72171b30f6049ebe08f8bfc2a44b38ece50"}, + {file = "huggingface_hub-0.36.1.tar.gz", hash = "sha256:5a3b8bf87e182ad6f1692c196bb9ec9ade7755311d5d5e792dc45045f77283ad"}, ] [package.dependencies] @@ -277,11 +277,11 @@ tqdm = ">=4.42.1" typing-extensions = ">=3.7.4.3" [package.extras] -all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] cli = ["InquirerPy (==0.3.4)"] -dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] -hf-transfer = ["hf-transfer (>=0.1.4)"] +hf-transfer = ["hf_transfer (>=0.1.4)"] hf-xet = ["hf-xet (>=1.1.2,<2.0.0)"] inference = ["aiohttp"] mcp = ["aiohttp", "mcp (>=1.8.0)", "typer"] @@ -289,7 +289,7 @@ oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"] quality = ["libcst (>=1.4.0)", "mypy (==1.15.0) ; python_version >= \"3.9\"", "mypy (>=1.14.1,<1.15.0) ; python_version == \"3.8\"", "ruff (>=0.9.0)", "ty"] tensorflow = ["graphviz", "pydot", "tensorflow"] tensorflow-testing = ["keras (<3.0)", "tensorflow"] -testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.3.2)", "fastapi", "fastapi", "gradio (>=4.0.0)", "httpx", "itsdangerous", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] torch = ["safetensors[torch]", "torch"] typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] From 41656daea42f86d9c9b101507c017ccf163c0d8b Mon Sep 17 00:00:00 2001 From: Yechan Kim <161688079+yechank-nvidia@users.noreply.github.com> Date: Tue, 3 Feb 2026 18:59:44 +0900 Subject: [PATCH 104/241] [https://nvbugs/5854419][fix] Fix Qwen3-VL-Dense/MoE accuracy drop (#11134) Signed-off-by: yechank <161688079+yechank-nvidia@users.noreply.github.com> --- tensorrt_llm/_torch/models/modeling_qwen3vl.py | 3 +++ tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py | 1 + 2 files changed, 4 insertions(+) diff --git a/tensorrt_llm/_torch/models/modeling_qwen3vl.py b/tensorrt_llm/_torch/models/modeling_qwen3vl.py index 4bdcfc767844..e08a11e5749a 100644 --- a/tensorrt_llm/_torch/models/modeling_qwen3vl.py +++ b/tensorrt_llm/_torch/models/modeling_qwen3vl.py @@ -739,9 +739,11 @@ def forward( # Getting positional embedding rotary_pos_emb = self.rot_pos_emb(grid_thw) + pos_embeds = self.fast_pos_embed_interpolate(grid_thw) # From this point, pure GPU operation hidden_states = self.patch_embed(pixel_values) + hidden_states = hidden_states + pos_embeds seq_len, _ = hidden_states.size() hidden_states = hidden_states.reshape(seq_len, -1) @@ -1139,6 +1141,7 @@ def _get_requests_with_mm_data(self, multimodal_params): "video": "<|vision_start|><|video_pad|><|vision_end|>", }, placeholder_placement=MultimodalPlaceholderPlacement.BEFORE_TEXT, + placeholders_separator="", ), ) class Qwen3VLModel(Qwen3VLModelBase): diff --git a/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py b/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py index 74cd16ec69c1..66da3c153e2a 100644 --- a/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py +++ b/tensorrt_llm/_torch/models/modeling_qwen3vl_moe.py @@ -41,6 +41,7 @@ "video": "<|vision_start|><|video_pad|><|vision_end|>", }, placeholder_placement=MultimodalPlaceholderPlacement.BEFORE_TEXT, + placeholders_separator="", ), ) class Qwen3MoeVLModel(Qwen3VLModelBase): From dcff503b134b30dfde9e6e149d1cfec3754d3de1 Mon Sep 17 00:00:00 2001 From: Anish Shanbhag Date: Tue, 3 Feb 2026 11:54:10 -0800 Subject: [PATCH 105/241] [https://nvbugs/5761391][fix] Cherry-pick #10471: Include triton-kernels as a packaged dependency (#11188) Signed-off-by: Anish Shanbhag --- .github/CODEOWNERS | 6 + .pre-commit-config.yaml | 3 + ATTRIBUTIONS-Python.md | 36 +- examples/models/core/gpt_oss/README.md | 27 +- pyproject.toml | 8 +- requirements.txt | 2 +- scripts/vendor_triton_kernels.py | 200 ++++++ setup.py | 9 +- tensorrt_llm/__init__.py | 37 ++ .../custom_ops/fused_moe/mxfp4_moe.py | 39 +- .../transform/library/mxfp4_moe.py | 7 +- .../modules/fused_moe/fused_moe_triton.py | 43 +- tensorrt_llm/_torch/modules/triton_linear.py | 14 +- .../defs/accuracy/references/gsm8k.yaml | 4 - .../defs/accuracy/test_llm_api_pytorch.py | 126 ++-- .../multigpu/custom_ops/test_mxfp4_moe_ep.py | 14 +- .../_torch/modeling/test_modeling_gpt_oss.py | 10 +- .../unittest/_torch/modules/test_fused_moe.py | 68 +- .../_torch/modules/test_triton_linear.py | 28 +- .../others/test_triton_kernels_vendoring.py | 73 +++ tests/unittest/utils/util.py | 3 + triton_kernels/LICENSE | 23 + triton_kernels/README.md | 24 + triton_kernels/VERSION | 3 + triton_kernels/__init__.py | 3 + triton_kernels/compaction.py | 73 +++ triton_kernels/compaction_details/__init__.py | 1 + .../compaction_details/_masked_compaction.py | 24 + triton_kernels/matmul_ogs.py | 613 ++++++++++++++++++ triton_kernels/matmul_ogs_details/__init__.py | 1 + triton_kernels/matmul_ogs_details/_common.py | 169 +++++ .../matmul_ogs_details/_matmul_ogs.py | 433 +++++++++++++ .../matmul_ogs_details/_p_matmul_ogs.py | 475 ++++++++++++++ .../matmul_ogs_details/_reduce_grouped.py | 98 +++ .../matmul_ogs_details/opt_flags.py | 307 +++++++++ .../opt_flags_details/__init__.py | 1 + .../opt_flags_details/opt_flags_amd.py | 37 ++ .../opt_flags_details/opt_flags_nvidia.py | 115 ++++ triton_kernels/numerics.py | 46 ++ triton_kernels/numerics_details/__init__.py | 3 + triton_kernels/numerics_details/flexpoint.py | 194 ++++++ triton_kernels/numerics_details/mxfp.py | 307 +++++++++ .../numerics_details/mxfp_details/__init__.py | 1 + .../mxfp_details/_downcast_to_mxfp.py | 162 +++++ .../mxfp_details/_upcast_from_mxfp.py | 129 ++++ triton_kernels/proton_opts.py | 21 + triton_kernels/reduction_details/__init__.py | 1 + .../reduction_details/reduce_bitmatrix.py | 115 ++++ triton_kernels/routing.py | 396 +++++++++++ triton_kernels/routing_details/__init__.py | 1 + triton_kernels/routing_details/_expt_data.py | 68 ++ .../routing_details/_routing_compute.py | 152 +++++ triton_kernels/specialize.py | 139 ++++ triton_kernels/swiglu.py | 104 +++ triton_kernels/swiglu_details/__init__.py | 1 + triton_kernels/swiglu_details/_swiglu.py | 106 +++ triton_kernels/target_info.py | 58 ++ triton_kernels/tensor.py | 219 +++++++ triton_kernels/tensor_details/__init__.py | 1 + triton_kernels/tensor_details/layout.py | 44 ++ .../tensor_details/layout_details/__init__.py | 1 + .../tensor_details/layout_details/base.py | 23 + .../layout_details/blackwell_scale.py | 62 ++ .../layout_details/blackwell_value.py | 37 ++ .../layout_details/cdna4_scale.py | 48 ++ .../layout_details/hopper_scale.py | 84 +++ .../layout_details/hopper_value.py | 327 ++++++++++ .../tensor_details/layout_details/strided.py | 21 + triton_kernels/testing.py | 199 ++++++ triton_kernels/topk.py | 128 ++++ triton_kernels/topk_details/__init__.py | 3 + triton_kernels/topk_details/_topk_backward.py | 55 ++ triton_kernels/topk_details/_topk_forward.py | 150 +++++ 73 files changed, 6313 insertions(+), 250 deletions(-) create mode 100755 scripts/vendor_triton_kernels.py create mode 100644 tests/unittest/others/test_triton_kernels_vendoring.py create mode 100644 triton_kernels/LICENSE create mode 100644 triton_kernels/README.md create mode 100644 triton_kernels/VERSION create mode 100644 triton_kernels/__init__.py create mode 100644 triton_kernels/compaction.py create mode 100644 triton_kernels/compaction_details/__init__.py create mode 100644 triton_kernels/compaction_details/_masked_compaction.py create mode 100644 triton_kernels/matmul_ogs.py create mode 100644 triton_kernels/matmul_ogs_details/__init__.py create mode 100644 triton_kernels/matmul_ogs_details/_common.py create mode 100644 triton_kernels/matmul_ogs_details/_matmul_ogs.py create mode 100644 triton_kernels/matmul_ogs_details/_p_matmul_ogs.py create mode 100644 triton_kernels/matmul_ogs_details/_reduce_grouped.py create mode 100644 triton_kernels/matmul_ogs_details/opt_flags.py create mode 100644 triton_kernels/matmul_ogs_details/opt_flags_details/__init__.py create mode 100644 triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_amd.py create mode 100644 triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_nvidia.py create mode 100644 triton_kernels/numerics.py create mode 100644 triton_kernels/numerics_details/__init__.py create mode 100644 triton_kernels/numerics_details/flexpoint.py create mode 100644 triton_kernels/numerics_details/mxfp.py create mode 100644 triton_kernels/numerics_details/mxfp_details/__init__.py create mode 100644 triton_kernels/numerics_details/mxfp_details/_downcast_to_mxfp.py create mode 100644 triton_kernels/numerics_details/mxfp_details/_upcast_from_mxfp.py create mode 100644 triton_kernels/proton_opts.py create mode 100644 triton_kernels/reduction_details/__init__.py create mode 100644 triton_kernels/reduction_details/reduce_bitmatrix.py create mode 100644 triton_kernels/routing.py create mode 100644 triton_kernels/routing_details/__init__.py create mode 100644 triton_kernels/routing_details/_expt_data.py create mode 100644 triton_kernels/routing_details/_routing_compute.py create mode 100644 triton_kernels/specialize.py create mode 100644 triton_kernels/swiglu.py create mode 100644 triton_kernels/swiglu_details/__init__.py create mode 100644 triton_kernels/swiglu_details/_swiglu.py create mode 100644 triton_kernels/target_info.py create mode 100644 triton_kernels/tensor.py create mode 100644 triton_kernels/tensor_details/__init__.py create mode 100644 triton_kernels/tensor_details/layout.py create mode 100644 triton_kernels/tensor_details/layout_details/__init__.py create mode 100644 triton_kernels/tensor_details/layout_details/base.py create mode 100644 triton_kernels/tensor_details/layout_details/blackwell_scale.py create mode 100644 triton_kernels/tensor_details/layout_details/blackwell_value.py create mode 100644 triton_kernels/tensor_details/layout_details/cdna4_scale.py create mode 100644 triton_kernels/tensor_details/layout_details/hopper_scale.py create mode 100644 triton_kernels/tensor_details/layout_details/hopper_value.py create mode 100644 triton_kernels/tensor_details/layout_details/strided.py create mode 100644 triton_kernels/testing.py create mode 100644 triton_kernels/topk.py create mode 100644 triton_kernels/topk_details/__init__.py create mode 100644 triton_kernels/topk_details/_topk_backward.py create mode 100644 triton_kernels/topk_details/_topk_forward.py diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 4b2a62267d65..f366ecede383 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -219,6 +219,12 @@ docs/source/performance/perf-benchmarking.md @NVIDIA/trtllm-bench-reviewers ## Any changes to versions, additions, or removals of third-party libraries /3rdparty/** @NVIDIA/trt-llm-oss-compliance +### Vendored Third-Party Code (triton-kernels) +## This is a temporary vendored copy of triton-kernels from the Triton project (MIT License). +## Do not accept contributions to this directory - it should only be updated via scripts/vendor_triton_kernels.py +## This can be removed if and when triton-kernels is published as a separate wheel. +/triton_kernels/** @NVIDIA/trt-llm-oss-compliance + ### Docker & Installation Scripts ## These scripts install and pin dependency versions /docker/common/** @NVIDIA/trt-llm-setup-infra-devs @NVIDIA/trt-llm-infra-devs @NVIDIA/trt-llm-oss-compliance diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b9dd903c6cef..b07fb415949c 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1369,6 +1369,9 @@ common-files: &common_files | triton_backend/tools/whisper/client.py | )$ +# Global exclude pattern for vendored third-party code +exclude: '^triton_kernels/' + default_install_hook_types: [pre-commit, commit-msg] repos: - repo: https://github.com/pycqa/isort diff --git a/ATTRIBUTIONS-Python.md b/ATTRIBUTIONS-Python.md index 0b20b131bc02..bf35b6aba76b 100644 --- a/ATTRIBUTIONS-Python.md +++ b/ATTRIBUTIONS-Python.md @@ -62379,7 +62379,7 @@ Copyright 2018- The Hugging Face team. All rights reserved. - `Homepage`: https://github.com/huggingface/transformers -## triton (3.5.0) +## triton (3.5.1) ### Licenses License: `MIT License` @@ -62417,6 +62417,40 @@ License: `MIT License` - `Homepage`: https://github.com/triton-lang/triton/ +## triton-kernels (3.5.1) + +### Licenses +License: `MIT License` + + - `LICENSE` (from triton repository root): +``` +Copyright 2018-2020 Philippe Tillet +Copyright 2020-2022 OpenAI + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files +(the "Software"), to deal in the Software without restriction, +including without limitation the rights to use, copy, modify, merge, +publish, distribute, sublicense, and/or sell copies of the Software, +and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + +### URLs + - `Source`: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels + + ## tritonclient (2.63.0) ### Licenses diff --git a/examples/models/core/gpt_oss/README.md b/examples/models/core/gpt_oss/README.md index 85cb21f6ebe5..22761c10e991 100644 --- a/examples/models/core/gpt_oss/README.md +++ b/examples/models/core/gpt_oss/README.md @@ -107,33 +107,10 @@ Once again, the function call works successfully, this time using a different fu ## Using OpenAI Triton Kernels for MoE -OpenAI ships a set of Triton kernels optimized for its MoE models. TensorRT-LLM can leverage these kernels; enable them with the steps below: -1. **Build and install Triton** (tested with the commit below): +OpenAI ships a set of Triton kernels optimized for its MoE models. -```bash -git clone https://github.com/triton-lang/triton.git -cd triton -# Specific commit verified with TensorRT-LLM -git checkout f3067cd3bd0c29065fa4ecdb724b6f29cbabea5f -pip install -r python/requirements.txt # build-time dependencies -pip install wheel build -python3 setup.py bdist_wheel -pip install ./dist/*.whl -``` - -2. **Expose the Triton kernels to TensorRT-LLM** - The kernels are not packaged in the wheel, so set the environment variable `TRITON_ROOT` to your Triton clone: - -```bash -export TRITON_ROOT=/local/user/triton -# TensorRT-LLM expects the kernels at: -# $TRITON_ROOT/python/triton_kernels -``` - -3. **Select Triton as the MoE backend** - -• **trtllm-serve** (or other similar commands) — add this snippet to the YAML file passed via `--config`: +To use the Triton MoE backend with **trtllm-serve** (or other similar commands), add this snippet to the YAML file passed via `--config`: ```yaml moe_config: diff --git a/pyproject.toml b/pyproject.toml index 031d41850dc6..8d32a0d203fe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,13 +10,15 @@ build-backend = "setuptools.build_meta" #################################################################################################### [tool.isort] line_length = 80 +known_first_party = ["tensorrt_llm"] +known_third_party = ["triton_kernels"] [tool.yapf] based_on_style = "pep8" column_limit = 80 [tool.codespell] -skip = ".git,3rdparty,tests/integration/test_input_files**,**.jsonl,**.json" +skip = ".git,3rdparty,triton_kernels,tests/integration/test_input_files**,**.jsonl,**.json" exclude-file = "examples/models/core/whisper/tokenizer.py" ignore-words-list = "rouge,inout,atleast,strat,nd,subtile,thrid,improbe,NotIn,te,iteract,anythin,tru,Tracin,vEw,dOut" @@ -42,6 +44,7 @@ fix = true # orders of magnitude faster, so we should move to deprecate `yapf`. exclude = [ "**3rdparty/**", + "triton_kernels/**", ".devcontainer/make_env.py", ".github/scripts/label_community_user.py", ".github/scripts/pr_checklist_check.py", @@ -1461,6 +1464,7 @@ convention = "google" [tool.ruff.lint.isort] known-first-party = ["tensorrt_llm"] +known-third-party = ["triton_kernels"] split-on-trailing-comma = false @@ -1493,7 +1497,7 @@ disallow_untyped_calls = false disallow_incomplete_defs = false disallow_untyped_defs = false warn_return_any = false -exclude = [] +exclude = ["triton_kernels"] [[tool.mypy.overrides]] diff --git a/requirements.txt b/requirements.txt index a433c20fb961..6e76d04b76e7 100644 --- a/requirements.txt +++ b/requirements.txt @@ -65,7 +65,7 @@ meson ninja blake3 soundfile -triton==3.5.1 +triton==3.5.1 # NOTE: if you update this, you must also run scripts/vendor_triton_kernels.py to vendor the new version of triton_kernels tiktoken blobfile openai-harmony==0.0.4 diff --git a/scripts/vendor_triton_kernels.py b/scripts/vendor_triton_kernels.py new file mode 100755 index 000000000000..e50096ed4dc5 --- /dev/null +++ b/scripts/vendor_triton_kernels.py @@ -0,0 +1,200 @@ +#!/usr/bin/env python3 +"""Script to vendor triton-kernels into TensorRT-LLM. + +This script: +1. Clones the Triton repo at a specific tag to a temp directory +2. Copies the triton_kernels module to the repo root as a top-level package +3. Adds attribution headers to all Python files +4. Copies the LICENSE file from Triton +5. Creates a VERSION file to track the vendored version +6. Creates a README.md with clear copyright attribution + +To update to a new version: + python scripts/vendor_triton_kernels.py --tag v3.6.0 +""" + +import argparse +import shutil +import subprocess +import tempfile +from pathlib import Path + +REPO_ROOT = Path(__file__).parent.parent.resolve() +TRITON_REPO_URL = "https://github.com/triton-lang/triton.git" +TRITON_KERNELS_MODULE_PATH = "python/triton_kernels/triton_kernels" +DEST_PATH = REPO_ROOT / "triton_kernels" + +VENDORED_NOTICE = "# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY." +ATTRIBUTION_HEADER = f"""\ +{VENDORED_NOTICE} +# Source: https://github.com/triton-lang/triton/tree/{{tag}}/{{original_file}} +# Triton is licensed under the MIT License. +""" + + +def clone_triton(tag: str, dest_dir: str) -> tuple[Path, Path]: + """Clone the Triton repo at the specified tag. Returns (module_path, repo_root).""" + print(f"Cloning Triton repo at tag {tag}...") + + subprocess.run( + ["git", "clone", "--depth", "1", "--branch", tag, TRITON_REPO_URL, dest_dir], + check=True, + capture_output=True, + text=True, + ) + + repo_root = Path(dest_dir) + triton_kernels_module_path = repo_root / TRITON_KERNELS_MODULE_PATH + if not triton_kernels_module_path.exists(): + raise RuntimeError(f"triton_kernels module not found at {triton_kernels_module_path}") + + return triton_kernels_module_path, repo_root + + +def add_attribution_header(file_path: Path, tag: str, original_rel_path: str) -> None: + content = file_path.read_text() + + # Handle shebang and encoding declarations + lines = content.split("\n") + insert_pos = 0 + preserved_lines = [] + + for i, line in enumerate(lines): + if line.startswith("#!") or line.startswith("# -*-") or line.startswith("# coding"): + preserved_lines.append(line) + insert_pos = i + 1 + else: + break + + header = ATTRIBUTION_HEADER.format(tag=tag, original_file=original_rel_path) + + new_content = "\n".join(preserved_lines) + if preserved_lines: + new_content += "\n" + new_content += header + + # Add blank line between header and content if file has content + remaining_content = "\n".join(lines[insert_pos:]) + if remaining_content.strip(): + new_content += "\n" + new_content += remaining_content + + file_path.write_text(new_content) + + +def copy_triton_kernels(src_path: Path, dest_path: Path, tag: str) -> list[str]: + """Copy triton_kernels module to destination and add attribution headers.""" + print(f"Copying triton_kernels to {dest_path}...") + + if dest_path.exists(): + print(f" Removing existing {dest_path}") + shutil.rmtree(dest_path) + + shutil.copytree(src_path, dest_path) + + # Add attribution headers to all existing Python files + python_files = [] + for py_file in dest_path.rglob("*.py"): + rel_path = py_file.relative_to(dest_path) + original_rel_path = f"{TRITON_KERNELS_MODULE_PATH}/{rel_path}" + python_files.append(str(rel_path)) + add_attribution_header(py_file, tag, original_rel_path) + + # Create __init__.py files in subdirs that don't have them. + # Triton's upstream code relies on implicit namespace packages (PEP 420), but + # setuptools' find_packages() requires __init__.py to discover subpackages. + for subdir in dest_path.rglob("*"): + if subdir.is_dir(): + init_file = subdir / "__init__.py" + if not init_file.exists(): + print(f" Creating {init_file.relative_to(dest_path)}") + init_file.write_text(f"{VENDORED_NOTICE}\n") + + print(f" Copied triton_kernels module to {dest_path}") + return python_files + + +def copy_license(triton_repo_root: Path, dest_path: Path) -> None: + """Copy the Triton LICENSE file.""" + print("Copying LICENSE file...") + + license_src = triton_repo_root / "LICENSE" + license_dest = dest_path / "LICENSE" + + shutil.copy2(license_src, license_dest) + print(f" Copied LICENSE to {license_dest}") + + +def create_version_file(dest_path: Path, tag: str) -> None: + """Create a VERSION file to track which version was vendored.""" + print("Creating VERSION file...") + + version_file = dest_path / "VERSION" + version_content = f"""{tag} +# This file tracks the version of triton-kernels that was vendored. +# To update, run: python scripts/vendor_triton_kernels.py --tag +""" + + version_file.write_text(version_content) + print(f" Created {version_file}") + + +def create_readme(dest_path: Path, tag: str) -> None: + """Create a README.md with clear copyright attribution.""" + print("Creating README.md...") + + readme_file = dest_path / "README.md" + readme_content = f"""# Vendored triton_kernels + +This directory contains code vendored from the [Triton](https://github.com/triton-lang/triton) project. + +| | | +|---|---| +| **Copyright** | The Triton Authors | +| **License** | MIT (see [LICENSE](LICENSE) file in this directory) | +| **Source** | https://github.com/triton-lang/triton/tree/{tag}/python/triton_kernels/triton_kernels | +| **Version** | `{tag}` | + +## Attribution + +This code is the work of the Triton authors and is included here under the MIT License. +Each Python file includes an attribution header indicating its origin. + +## Do Not Edit + +This code is vendored verbatim and should not be modified directly. +To update to a newer version, run: + +```bash +python scripts/vendor_triton_kernels.py --tag +``` +""" + + readme_file.write_text(readme_content) + print(f" Created {readme_file}") + + +def main(): + parser = argparse.ArgumentParser(description="Vendor triton-kernels into TensorRT-LLM") + parser.add_argument( + "--tag", + required=True, + help="Triton git tag to vendor from. See the list of tags at https://github.com/triton-lang/triton/tags", + ) + args = parser.parse_args() + + print(f"Vendoring triton-kernels from Triton {args.tag}") + print(f"Destination: {DEST_PATH}") + + with tempfile.TemporaryDirectory() as tmp_dir: + triton_kernels_src, triton_repo_root = clone_triton(args.tag, tmp_dir) + copy_triton_kernels(triton_kernels_src, DEST_PATH, args.tag) + copy_license(triton_repo_root, DEST_PATH) + create_version_file(DEST_PATH, args.tag) + create_readme(DEST_PATH, args.tag) + + print("SUCCESS: triton-kernels has been vendored.") + + +if __name__ == "__main__": + main() diff --git a/setup.py b/setup.py index ae2be9d9bc02..71a1accdc279 100644 --- a/setup.py +++ b/setup.py @@ -305,6 +305,12 @@ def extract_from_precompiled(precompiled_location: str, package_data: List[str], with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() +packages = find_packages() +# Add vendored triton_kernels as an explicit top-level package. +# This is vendored from the Triton project and kept at repo root so its +# internal absolute imports (e.g., "from triton_kernels.foo import bar") work. +packages += find_packages(include=["triton_kernels", "triton_kernels.*"]) + # https://setuptools.pypa.io/en/latest/references/keywords.html setup( name='tensorrt_llm', @@ -318,7 +324,7 @@ def extract_from_precompiled(precompiled_location: str, package_data: List[str], author="NVIDIA Corporation", url="https://github.com/NVIDIA/TensorRT-LLM", download_url="https://github.com/NVIDIA/TensorRT-LLM/tags", - packages=find_packages(), + packages=packages, # TODO Add windows support for python bindings. classifiers=[ "Development Status :: 4 - Beta", @@ -331,6 +337,7 @@ def extract_from_precompiled(precompiled_location: str, package_data: List[str], keywords="nvidia tensorrt deeplearning inference", package_data={ 'tensorrt_llm': package_data, + 'triton_kernels': ['LICENSE', 'VERSION', 'README.md'], }, license_files=get_license(), entry_points={ diff --git a/tensorrt_llm/__init__.py b/tensorrt_llm/__init__.py index cea56431b77e..7f4a25dd8386 100644 --- a/tensorrt_llm/__init__.py +++ b/tensorrt_llm/__init__.py @@ -61,6 +61,43 @@ def _preload_python_lib(): _preload_python_lib() import sys +from pathlib import Path + + +def _setup_vendored_triton_kernels(): + """Ensure our vendored triton_kernels takes precedence over any existing installation. + + Some environments bundle triton_kernels, which can conflict with our vendored version. This function: + 1. Clears any pre-loaded triton_kernels from sys.modules + 2. Temporarily adds our package root to sys.path + 3. Imports triton_kernels (caching our version in sys.modules) + 4. Removes the package root from sys.path + """ + + # Clear any pre-loaded triton_kernels from cache + for mod in list(sys.modules.keys()): + if mod == "triton_kernels" or mod.startswith("triton_kernels."): + del sys.modules[mod] + + # Temporarily add our package root to sys.path + root = Path(__file__).parent.parent + + vendored = root / "triton_kernels" + if not vendored.exists(): + raise RuntimeError( + f"Vendored triton_kernels module not found at {vendored}") + + should_add_to_path = str(root) not in sys.path + if should_add_to_path: + sys.path.insert(0, str(root)) + + import triton_kernels # noqa: F401 + + if should_add_to_path: + sys.path.remove(str(root)) + + +_setup_vendored_triton_kernels() # Need to import torch before tensorrt_llm library, otherwise some shared binary files # cannot be found for the public PyTorch, raising errors like: diff --git a/tensorrt_llm/_torch/auto_deploy/custom_ops/fused_moe/mxfp4_moe.py b/tensorrt_llm/_torch/auto_deploy/custom_ops/fused_moe/mxfp4_moe.py index d47d44378d9f..c0a55d6c2354 100644 --- a/tensorrt_llm/_torch/auto_deploy/custom_ops/fused_moe/mxfp4_moe.py +++ b/tensorrt_llm/_torch/auto_deploy/custom_ops/fused_moe/mxfp4_moe.py @@ -4,36 +4,15 @@ import torch import torch.nn.functional as F - -IS_TRITON_KERNELS_AVAILABLE = True -TRITON_KERNELS_UNAVAILABLE_REASON = "" - -try: - from triton_kernels.matmul_ogs import ( - FlexCtx, - FnSpecs, - FusedActivation, - PrecisionConfig, - matmul_ogs, - ) - from triton_kernels.numerics import InFlexData - from triton_kernels.routing import RoutingData, routing - from triton_kernels.swiglu import swiglu_fn - from triton_kernels.tensor import FP4, convert_layout, wrap_torch_tensor - from triton_kernels.tensor_details import layout - from triton_kernels.tensor_details.layout import StridedLayout - - from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import TritonEPRouter - -except Exception as _e: - IS_TRITON_KERNELS_AVAILABLE = False - TRITON_KERNELS_UNAVAILABLE_REASON = f"{type(_e).__name__}: {_e}" - - FlexCtx = FnSpecs = FusedActivation = PrecisionConfig = matmul_ogs = None - InFlexData = RoutingData = routing = swiglu_fn = None - FP4 = convert_layout = wrap_torch_tensor = None - layout = StridedLayout = None - TritonEPRouter = None +from triton_kernels.matmul_ogs import FlexCtx, FnSpecs, FusedActivation, PrecisionConfig, matmul_ogs +from triton_kernels.numerics import InFlexData +from triton_kernels.routing import RoutingData, routing +from triton_kernels.swiglu import swiglu_fn +from triton_kernels.tensor import FP4, convert_layout, wrap_torch_tensor +from triton_kernels.tensor_details import layout +from triton_kernels.tensor_details.layout import StridedLayout + +from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import TritonEPRouter # copied from transformers.integrations.mxfp4::swizzle_mxfp4 with minor modification diff --git a/tensorrt_llm/_torch/auto_deploy/transform/library/mxfp4_moe.py b/tensorrt_llm/_torch/auto_deploy/transform/library/mxfp4_moe.py index b60a9f875c64..4113732111ab 100644 --- a/tensorrt_llm/_torch/auto_deploy/transform/library/mxfp4_moe.py +++ b/tensorrt_llm/_torch/auto_deploy/transform/library/mxfp4_moe.py @@ -9,7 +9,6 @@ register_ad_pattern, ) -from ...custom_ops.fused_moe.mxfp4_moe import IS_TRITON_KERNELS_AVAILABLE from ...utils.module import get_submodule_of_param from ...utils.node_utils import is_op from ..interface import BaseTransform, TransformInfo, TransformRegistry @@ -220,11 +219,7 @@ def _apply( shared_config, ) -> Tuple[GraphModule, TransformInfo]: qcfg = factory.get_quant_config() - if ( - not qcfg - or qcfg.get("quant_method", "") != self.algo_name - or not IS_TRITON_KERNELS_AVAILABLE - ): + if not qcfg or qcfg.get("quant_method", "") != self.algo_name: return gm, TransformInfo( skipped=True, num_matches=0, is_clean=True, has_valid_shapes=True ) diff --git a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_triton.py b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_triton.py index 22d95411bc12..c256b1313c94 100755 --- a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_triton.py +++ b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_triton.py @@ -1,32 +1,19 @@ from __future__ import annotations import os -import sys from typing import Dict, List, NamedTuple, Optional import torch import torch.nn as nn import triton import triton.language as tl - -IS_TRITON_KERNELS_AVAILABLE = False -# We expect to find triton_kernels under $TRITON_ROOT/python/triton_kernels -# Triton upstream commit f3067cd3bd0c29065fa4ecdb724b6f29cbabea5f has been verified. -triton_root = os.getenv('TRITON_ROOT') -if triton_root: - triton_root = os.path.abspath( - os.path.join(triton_root, 'python', 'triton_kernels')) - if os.path.exists(triton_root) and triton_root not in sys.path: - sys.path.insert(0, triton_root) - assert triton.__version__ >= "3.4.0", "Triton kernels are detected but the Triton wheel is too old" - import triton_kernels.swiglu - from triton_kernels.matmul_ogs import (FlexCtx, FnSpecs, FusedActivation, - PrecisionConfig, matmul_ogs) - from triton_kernels.numerics import InFlexData - from triton_kernels.numerics_details.mxfp import downcast_to_mxfp_torch - from triton_kernels.tensor import FP4, convert_layout, wrap_torch_tensor - from triton_kernels.tensor_details import layout - IS_TRITON_KERNELS_AVAILABLE = True +import triton_kernels.swiglu +from triton_kernels.matmul_ogs import (FlexCtx, FnSpecs, FusedActivation, + PrecisionConfig, matmul_ogs) +from triton_kernels.numerics import InFlexData +from triton_kernels.numerics_details.mxfp import downcast_to_mxfp_torch +from triton_kernels.tensor import FP4, convert_layout, wrap_torch_tensor +from triton_kernels.tensor_details import layout from ...model_config import ModelConfig from ..linear import TensorParallelMode, load_weight_shard @@ -214,11 +201,16 @@ def create_weights(self, module: torch.nn.Module): module.intermediate_size_per_partition, module.hidden_size, ) + # Bias shapes use the output dimension (last dim) of the transposed weight shapes + w3_w1_bias_shape = (w3_w1_weight_shape[0], w3_w1_weight_shape[2]) + w2_bias_shape = (w2_weight_shape[0], w2_weight_shape[2]) super().create_weights(module, weight_dtype, w3_w1_weight_shape, w2_weight_shape, - bias_dtype=torch.float32) + bias_dtype=torch.float32, + w3_w1_bias_shape=w3_w1_bias_shape, + w2_bias_shape=w2_bias_shape) self.setup_quant_scales(module) def setup_quant_scales(self, module: torch.nn.Module): @@ -404,12 +396,17 @@ def create_weights(self, module: torch.nn.Module): module.intermediate_size_per_partition, module.hidden_size, ) + # Bias shapes use the output dimension (last dim) of the transposed weight shapes + w3_w1_bias_shape = (w3_w1_weight_shape[0], w3_w1_weight_shape[2]) + w2_bias_shape = (w2_weight_shape[0], w2_weight_shape[2]) FusedMoEMethodBase.create_weights(self, module, weight_dtype, w3_w1_weight_shape, w2_weight_shape, - bias_dtype=torch.float32) + bias_dtype=torch.float32, + w3_w1_bias_shape=w3_w1_bias_shape, + w2_bias_shape=w2_bias_shape) fc31_dequant = nn.Parameter(torch.empty( module.expert_size_per_partition, dtype=torch.float32), @@ -1295,8 +1292,6 @@ def __init__( weight_loading_mode=weight_loading_mode, layer_idx=layer_idx, ) - if not IS_TRITON_KERNELS_AVAILABLE: - raise ImportError("Triton kernels are not available.") if torch.cuda.get_device_capability()[0] != 9 and self.ep_size > 1: raise NotImplementedError( "TritonFusedMoE is only supported on Hopper with EP size > 1.") diff --git a/tensorrt_llm/_torch/modules/triton_linear.py b/tensorrt_llm/_torch/modules/triton_linear.py index dfc3d584e64a..f22f35bd0c8e 100644 --- a/tensorrt_llm/_torch/modules/triton_linear.py +++ b/tensorrt_llm/_torch/modules/triton_linear.py @@ -4,20 +4,15 @@ import torch from torch.nn.parameter import Parameter +from triton_kernels.matmul_ogs import FlexCtx, PrecisionConfig, matmul_ogs +from triton_kernels.numerics import InFlexData from tensorrt_llm._torch.peft.lora.layer import LoraLayer from tensorrt_llm.mapping import Mapping from ...models.modeling_utils import QuantConfig -# Reuse the common Triton import setup -from .fused_moe.fused_moe_triton import (IS_TRITON_KERNELS_AVAILABLE, - maybe_update_stride, +from .fused_moe.fused_moe_triton import (maybe_update_stride, swizzle_weight_and_scale) - -if IS_TRITON_KERNELS_AVAILABLE: - from triton_kernels.matmul_ogs import (FlexCtx, PrecisionConfig, matmul_ogs) - from triton_kernels.numerics import InFlexData - from .linear import (Linear, LinearMethodBase, TensorParallelMode, WeightsLoadingConfig, copy_weight, load_weight_shard, load_weights_fused_gate_up_helper, @@ -383,9 +378,6 @@ def __init__( use_custom_cublas_mm: bool = False, lora: Optional[LoraLayer] = None, ): - if not IS_TRITON_KERNELS_AVAILABLE: - raise ImportError("Triton kernels are not available. " - "Please install the required dependencies.") assert not use_custom_cublas_mm, "TritonLinear does not support custom cublas mm." super().__init__( diff --git a/tests/integration/defs/accuracy/references/gsm8k.yaml b/tests/integration/defs/accuracy/references/gsm8k.yaml index a4365a5ce9d6..eafaeebdafdf 100644 --- a/tests/integration/defs/accuracy/references/gsm8k.yaml +++ b/tests/integration/defs/accuracy/references/gsm8k.yaml @@ -234,10 +234,6 @@ microsoft/phi-4: accuracy: 90.64 mistralai/Codestral-22B-v0.1: - accuracy: 67.10 -GPT-OSS/BF16: - - accuracy: 90.3 - - kv_cache_quant_algo: FP8 - accuracy: 90.3 GPT-OSS/120B-MXFP4: - accuracy: 90.3 - spec_dec_algo: Eagle diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py index 25ec1d2a41b6..d92a03f66d61 100644 --- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py +++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py @@ -48,8 +48,6 @@ def patched_start_mpi_pool(self): from tensorrt_llm import LLM from tensorrt_llm._torch.model_config import MoeLoadBalancerConfig -from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import \ - IS_TRITON_KERNELS_AVAILABLE from tensorrt_llm.llmapi import (AutoDecodingConfig, CudaGraphConfig, DeepSeekSparseAttentionConfig, EagleDecodingConfig, KvCacheConfig, MoeConfig, @@ -3617,7 +3615,10 @@ def test_nvfp4( task = GSM8K(self.MODEL_NAME) task.evaluate(llm) - @pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRITON", "TRTLLM"]) + @pytest.mark.parametrize( + "moe_backend", + ["CUTLASS", + pytest.param("TRITON", marks=skip_no_hopper), "TRTLLM"]) @pytest.mark.parametrize( "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ (1, 1, 1, False, True, True), @@ -3648,11 +3649,6 @@ def test_w4a8_mxfp4(self, moe_backend, tp_size, pp_size, ep_size, patch_mpi_pool_session_for_env(mocker, {"ENABLE_CONFIGURABLE_MOE": env_value}) - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("TRITON moe backend is not available.") - if get_sm_version() < 90: - pytest.skip("TRITON moe backend requires Hopper or newer.") if moe_backend in ["CUTLASS", "TRTLLM"] and get_sm_version() < 100: pytest.skip( "CUTLASS or TRTLLM moe backend requires Blackwell or newer.") @@ -4110,11 +4106,12 @@ class TestGPTOSS(LlmapiAccuracyTestHarness): @pytest.mark.parametrize( "kv_cache_dtype", ["auto", pytest.param("fp8", marks=skip_pre_blackwell)]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) @pytest.mark.parametrize("cuda_graph,overlap_scheduler", [ (True, True), ]) @@ -4123,8 +4120,6 @@ def test_w4_1gpu(self, kv_cache_dtype, moe_backend, cuda_graph, mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN", 8192) mocker.patch.dict(GSM8K.EVALUATE_KWARGS, {"scores_filter": "exact_match,flexible-extract"}) - if moe_backend == "TRITON" and not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") pytorch_config = dict( disable_overlap_scheduler=not overlap_scheduler, @@ -4161,11 +4156,12 @@ def test_dummy_load_format(self): @pytest.mark.parametrize( "kv_cache_dtype", ["auto", pytest.param("fp8", marks=skip_pre_blackwell)]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) @pytest.mark.parametrize( "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ (4, 1, 1, False, True, True), @@ -4194,10 +4190,6 @@ def test_w4_4gpus(self, kv_cache_dtype, moe_backend, tp_size, pp_size, patch_mpi_pool_session_for_env(mocker, {"ENABLE_CONFIGURABLE_MOE": env_value}) - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - MAX_OUTPUT_LEN = 128179 MAX_INPUT_LEN = 32768 @@ -4255,11 +4247,12 @@ def test_w4_4gpus(self, kv_cache_dtype, moe_backend, tp_size, pp_size, extra_evaluator_kwargs=extra_evaluator_kwargs) @pytest.mark.skip_less_device(8) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) @pytest.mark.parametrize( "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ (8, 1, 1, False, True, True), @@ -4272,9 +4265,6 @@ def test_w4_8gpus(self, moe_backend, tp_size, pp_size, ep_size, mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN", 8192) mocker.patch.dict(GSM8K.EVALUATE_KWARGS, {"scores_filter": "exact_match,flexible-extract"}) - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") pytorch_config = dict( disable_overlap_scheduler=not overlap_scheduler, @@ -4296,6 +4286,7 @@ def test_w4_8gpus(self, moe_backend, tp_size, pp_size, ep_size, extra_evaluator_kwargs=self.extra_evaluator_kwargs) @pytest.mark.skip_less_device(4) + @skip_no_hopper @pytest.mark.parametrize( "kv_cache_dtype", ["auto", pytest.param("fp8", marks=skip_pre_blackwell)]) @@ -4310,14 +4301,8 @@ def test_w4a16(self, kv_cache_dtype, tp_size, pp_size, ep_size, mocker.patch.object(GSM8K, "MAX_OUTPUT_LEN", 8192) mocker.patch.dict(GSM8K.EVALUATE_KWARGS, {"scores_filter": "exact_match,flexible-extract"}) - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") monkeypatch.setenv("OVERRIDE_QUANT_ALGO", "W4A16_MXFP4") - pytorch_config = dict( - disable_overlap_scheduler=not overlap_scheduler, - cuda_graph_config=CudaGraphConfig() if cuda_graph else None) - kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.5, dtype=kv_cache_dtype) @@ -4326,11 +4311,12 @@ def test_w4a16(self, kv_cache_dtype, tp_size, pp_size, ep_size, pipeline_parallel_size=pp_size, moe_expert_parallel_size=ep_size, kv_cache_config=kv_cache_config, - **pytorch_config, + disable_overlap_scheduler=not overlap_scheduler, + cuda_graph_config=CudaGraphConfig() if cuda_graph else None, enable_attention_dp=attention_dp, moe_config=MoeConfig(backend="TRITON")) with llm: - model_name = "GPT-OSS/BF16" + model_name = "GPT-OSS/120B-MXFP4" task = GSM8K(model_name) task.evaluate(llm, extra_evaluator_kwargs=self.extra_evaluator_kwargs) @@ -4339,11 +4325,12 @@ def test_w4a16(self, kv_cache_dtype, tp_size, pp_size, ep_size, @pytest.mark.parametrize( "kv_cache_dtype", ["auto", pytest.param("fp8", marks=skip_pre_blackwell)]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) @pytest.mark.parametrize( "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ (2, 1, 1, False, True, True), @@ -4354,10 +4341,6 @@ def test_w4a16(self, kv_cache_dtype, tp_size, pp_size, ep_size, def test_w4_2gpus(self, kv_cache_dtype, moe_backend, tp_size, pp_size, ep_size, attention_dp, cuda_graph, overlap_scheduler, mocker): - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - pytorch_config = dict( disable_overlap_scheduler=not overlap_scheduler, cuda_graph_config=CudaGraphConfig() if cuda_graph else None) @@ -4426,16 +4409,13 @@ def test_w4_2gpus_nvfp4(self, tp_size, pp_size, ep_size, attention_dp, @pytest.mark.parametrize( "kv_cache_dtype", ["auto", pytest.param("fp8", marks=skip_pre_blackwell)]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) def test_w4_chunked_prefill(self, kv_cache_dtype, moe_backend, mocker): - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - MAX_OUTPUT_LEN = 128179 MAX_INPUT_LEN = 32768 @@ -4495,17 +4475,14 @@ def test_w4_chunked_prefill(self, kv_cache_dtype, moe_backend, mocker): ids=["overlap_scheduler", "no_overlap_scheduler"]) @pytest.mark.parametrize("one_model", [True, False], ids=["one_model", "two_model"]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) def test_eagle3_4gpus(self, moe_backend, one_model, overlap_scheduler, mocker): - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - if get_sm_version() == 90: pytest.skip( "https://nvbugs/5636916: Remaining Hopper Eagle Accuracy Issue for only TP=4" @@ -4687,17 +4664,14 @@ def test_eagle3_guided_decoding_4gpus(self, one_model, mocker): ids=["overlap_scheduler", "no_overlap_scheduler"]) @pytest.mark.parametrize("one_model", [True, False], ids=["one_model", "two_model"]) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRTLLM", marks=skip_pre_blackwell), "TRITON"], - ids=["cutlass", "trtllm", "triton"]) + @pytest.mark.parametrize("moe_backend", [ + "CUTLASS", + pytest.param("TRTLLM", marks=skip_pre_blackwell), + pytest.param("TRITON", marks=skip_no_hopper) + ], + ids=["cutlass", "trtllm", "triton"]) def test_eagle3_2gpus(self, moe_backend, one_model, overlap_scheduler, mocker): - if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - MAX_OUTPUT_LEN = 128179 MAX_INPUT_LEN = 32768 diff --git a/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py b/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py index a3e9b3254cd6..12ef18218a75 100644 --- a/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py +++ b/tests/unittest/_torch/auto_deploy/unit/multigpu/custom_ops/test_mxfp4_moe_ep.py @@ -4,11 +4,8 @@ import torch import torch.distributed as dist from _dist_test_utils import get_device_counts -from utils.util import getSMVersion +from utils.util import skip_no_hopper -from tensorrt_llm._torch.auto_deploy.custom_ops.fused_moe.mxfp4_moe import ( - IS_TRITON_KERNELS_AVAILABLE, -) from tensorrt_llm._torch.auto_deploy.distributed.common import spawn_multiprocess_job @@ -110,14 +107,7 @@ def _rand_scales(shape): torch.testing.assert_close(part_out, ref_out, rtol=5e-2, atol=5e-2, equal_nan=True) -@pytest.mark.skipif( - getSMVersion() != 90, - reason="triton_mxfp4_moe is only supported in Hopper architecture", -) -@pytest.mark.skipif( - not IS_TRITON_KERNELS_AVAILABLE, - reason="triton_kernels unavailable", -) +@skip_no_hopper @pytest.mark.parametrize("num_experts", [6, 8]) @pytest.mark.parametrize("topk", [4]) # must be <= num_experts @pytest.mark.parametrize("device_count", get_device_counts()) diff --git a/tests/unittest/_torch/modeling/test_modeling_gpt_oss.py b/tests/unittest/_torch/modeling/test_modeling_gpt_oss.py index 0e2b97459315..7d6bcc29e96a 100644 --- a/tests/unittest/_torch/modeling/test_modeling_gpt_oss.py +++ b/tests/unittest/_torch/modeling/test_modeling_gpt_oss.py @@ -5,10 +5,9 @@ import pytest from transformers import AutoTokenizer from utils.llm_data import llm_models_root +from utils.util import skip_no_hopper from tensorrt_llm import LLM, SamplingParams -from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import \ - IS_TRITON_KERNELS_AVAILABLE from tensorrt_llm.llmapi import CudaGraphConfig, KvCacheConfig, MoeConfig configs = """ @@ -48,11 +47,10 @@ def dump_config_json(dst_dir): json.dump(json_configs, f, indent=2, ensure_ascii=False) -@pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRITON"]) +@pytest.mark.parametrize( + "moe_backend", + ["CUTLASS", pytest.param("TRITON", marks=skip_no_hopper)]) def test_gpt_oss_trtllmgen(moe_backend): - if moe_backend == "TRITON" and not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - prompts = [ "How are you?", "Hello, my name is", diff --git a/tests/unittest/_torch/modules/test_fused_moe.py b/tests/unittest/_torch/modules/test_fused_moe.py index 773218a40c2a..30e64a16f2f2 100644 --- a/tests/unittest/_torch/modules/test_fused_moe.py +++ b/tests/unittest/_torch/modules/test_fused_moe.py @@ -19,9 +19,8 @@ from mpi4py.futures import MPIPoolExecutor from transformers.configuration_utils import PretrainedConfig from utils.util import (check_accuracy, skip_blackwell, skip_blackwell_geforce, - skip_neither_ada_nor_hopper_unittest, - skip_non_hopper_unittest, skip_pre_blackwell, - skip_pre_hopper) + skip_neither_ada_nor_hopper_unittest, skip_no_hopper, + skip_pre_blackwell, skip_pre_hopper) from tensorrt_llm._torch.autotuner import AutoTuner, autotune from tensorrt_llm._torch.model_config import ModelConfig @@ -41,8 +40,6 @@ from tensorrt_llm._torch.modules.fused_moe.quantization import \ NVFP4CutlassFusedMoEMethod # isort: on -from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import \ - IS_TRITON_KERNELS_AVAILABLE from tensorrt_llm._torch.modules.gated_mlp import GatedMLP from tensorrt_llm._utils import get_sm_version, mpi_rank from tensorrt_llm.mapping import Mapping @@ -92,8 +89,8 @@ def test_fused_moe(moe_backend, mapping=None): if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") + if get_sm_version() != 90: + pytest.skip("TRITON moe backend is only supported on Hopper") if dtype != torch.bfloat16: pytest.skip("Unsupported for TritonFusedMoE") if routing_cls != RenormalizeMoeRoutingMethod: @@ -192,9 +189,9 @@ def test_fused_moe(moe_backend, # Evaluate outputs torch.cuda.synchronize() # There can be one off mismatch in the outputs due to different kernel implementations - # Here we check 99% of the outputs are within the tolerance + # Here we check most of the outputs are within the tolerance # The CutlassFusedMoE case fails as well without this change on H100 for bf16 - check_accuracy(output, ref_output, rtol=0.2, atol=0.2, percent=0.984) + check_accuracy(output, ref_output, rtol=0.2, atol=0.2, percent=0.975) m //= 2 @@ -514,7 +511,9 @@ def per_rank_test_fused_moe_alltoall(job_id, weights, x_list): @skip_pre_hopper -@pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRITON"]) +@pytest.mark.parametrize( + "moe_backend", + ["CUTLASS", pytest.param("TRITON", marks=skip_no_hopper)]) @pytest.mark.parametrize("routing_cls", [DefaultMoeRoutingMethod, RenormalizeMoeRoutingMethod]) @pytest.mark.parametrize("bias", [True, False]) @@ -522,8 +521,6 @@ def per_rank_test_fused_moe_alltoall(job_id, weights, x_list): def test_fused_moe_fp8(moe_backend, dtype, routing_cls, bias): if moe_backend == "TRITON": - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") if dtype != torch.bfloat16: pytest.skip("Unsupported for TritonFusedMoE") if routing_cls != RenormalizeMoeRoutingMethod: @@ -632,19 +629,30 @@ def test_fused_moe_fp8(moe_backend, dtype, routing_cls, bias): with torch.inference_mode(), autotune(): fused_moe.forward(x, router_logits) - # Explicitly capture context for kernel testing - with AutoTuner.get().capture() as all_tactics, torch.inference_mode(): - output = fused_moe.forward(x, router_logits) - - # Test all kernel tactics - for tactic in all_tactics: - with AutoTuner.get().replay(tactic), torch.inference_mode(): + # TRITON backend uses Triton kernels which don't register with AutoTuner + if moe_backend == "TRITON": + with torch.inference_mode(): + output = fused_moe.forward(x, router_logits) + check_accuracy(output, + ref_output, + rtol=0.04, + atol=0.1, + percent=0.99) + else: + # Explicitly capture context for kernel testing + with AutoTuner.get().capture() as all_tactics, torch.inference_mode( + ): output = fused_moe.forward(x, router_logits) - check_accuracy(output, - ref_output, - rtol=0.04, - atol=0.1, - percent=0.99) + + # Test all kernel tactics + for tactic in all_tactics: + with AutoTuner.get().replay(tactic), torch.inference_mode(): + output = fused_moe.forward(x, router_logits) + check_accuracy(output, + ref_output, + rtol=0.04, + atol=0.1, + percent=0.99) def set_tensor_value_2(x, num_row, num_cols): @@ -1174,7 +1182,7 @@ def test_fused_moe_fp8_blockwise_cute_dsl(dtype, return True -@skip_non_hopper_unittest +@skip_no_hopper @pytest.mark.parametrize( "dtype, num_experts, seq_len, hidden_size, RoutingMethodCls, WeightLoadingMode", product( @@ -1306,7 +1314,7 @@ def test_fused_moe_fp8_blockwise_cutlass(dtype, return True -@skip_non_hopper_unittest +@skip_no_hopper @pytest.mark.skipif(torch.cuda.device_count() < 4, reason="needs 4 GPUs to run this test") @pytest.mark.parametrize("ep_size", [1, 2, 4]) @@ -2526,7 +2534,7 @@ def ref(): check_accuracy(output, ref_output, rtol=1e-2, atol=0.1, percent=0.99) -@skip_pre_hopper +@skip_no_hopper @pytest.mark.parametrize("experts", [8, 128]) @pytest.mark.parametrize( "hidden_size, intermediate_size", @@ -2542,12 +2550,8 @@ def ref(): @pytest.mark.parametrize("dynamic_quant", [True, False]) def test_fused_moe_triton_mxfp4(experts, hidden_size, intermediate_size, fp8_activation, bias, dynamic_quant): - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - if torch.cuda.get_device_capability()[0] < 10 and fp8_activation: + if fp8_activation: pytest.skip("Latest Triton requires BF16 activation on Hopper") - if torch.cuda.get_device_capability()[0] >= 10 and not fp8_activation: - pytest.skip("Latest Triton requires FP8 activation on Blackwell") mapping = Mapping() mapping.rank = mpi_rank() diff --git a/tests/unittest/_torch/modules/test_triton_linear.py b/tests/unittest/_torch/modules/test_triton_linear.py index 2d5e87ae688b..9b1229cf5d82 100644 --- a/tests/unittest/_torch/modules/test_triton_linear.py +++ b/tests/unittest/_torch/modules/test_triton_linear.py @@ -5,10 +5,8 @@ import pytest import torch from mpi4py import MPI -from utils.util import check_accuracy, skip_pre_hopper +from utils.util import check_accuracy, skip_no_hopper -from tensorrt_llm._torch.modules.fused_moe.fused_moe_triton import \ - IS_TRITON_KERNELS_AVAILABLE from tensorrt_llm._torch.modules.linear import Linear from tensorrt_llm._torch.modules.triton_linear import TritonLinear from tensorrt_llm.models.modeling_utils import QuantAlgo, QuantConfig @@ -21,11 +19,10 @@ ) -@pytest.mark.parametrize("linear_cls", [Linear, TritonLinear]) +@pytest.mark.parametrize( + "linear_cls", + [Linear, pytest.param(TritonLinear, marks=skip_no_hopper)]) def test_linear_unquantized(linear_cls): - if not IS_TRITON_KERNELS_AVAILABLE and linear_cls is TritonLinear: - pytest.skip("Triton kernels are not available") - torch.manual_seed(0) torch.cuda.manual_seed(0) num_tokens = 128 @@ -56,11 +53,10 @@ def test_linear_unquantized(linear_cls): check_accuracy(actual_c, reference_c, atol=0.01, rtol=0.01, percent=0.99) -@pytest.mark.parametrize("linear_cls", [Linear, TritonLinear]) +@pytest.mark.parametrize( + "linear_cls", + [Linear, pytest.param(TritonLinear, marks=skip_no_hopper)]) def test_linear_fp8qdq(linear_cls): - if not IS_TRITON_KERNELS_AVAILABLE and linear_cls is TritonLinear: - pytest.skip("Triton kernels are not available") - torch.manual_seed(0) torch.cuda.manual_seed(0) num_tokens = 128 @@ -100,18 +96,12 @@ def test_linear_fp8qdq(linear_cls): percent=0.99) -@skip_pre_hopper +@skip_no_hopper @pytest.mark.parametrize("activation_dtype", [torch.bfloat16, torch.float8_e4m3fn]) def test_linear_mxfp4(activation_dtype): - if not IS_TRITON_KERNELS_AVAILABLE: - pytest.skip("Triton kernels are not available") - if torch.cuda.get_device_capability( - )[0] < 10 and activation_dtype == torch.float8_e4m3fn: + if activation_dtype == torch.float8_e4m3fn: pytest.skip("Latest Triton requires BF16 activation on Hopper") - if torch.cuda.get_device_capability( - )[0] >= 10 and activation_dtype == torch.bfloat16: - pytest.skip("Latest Triton requires FP8 activation on Blackwell") dtype = torch.bfloat16 num_tokens = 128 diff --git a/tests/unittest/others/test_triton_kernels_vendoring.py b/tests/unittest/others/test_triton_kernels_vendoring.py new file mode 100644 index 000000000000..8a88baeb2f6e --- /dev/null +++ b/tests/unittest/others/test_triton_kernels_vendoring.py @@ -0,0 +1,73 @@ +# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tests for vendored triton_kernels package. + +The triton_kernels package is vendored from the Triton project to provide +optimized kernels. These tests verify that the vendoring mechanism works +correctly and that our version takes precedence over any external installation. +""" + +import unittest +from pathlib import Path + + +class TestTritonKernelsVendoring(unittest.TestCase): + def test_triton_kernels_is_vendored_version(self): + """Verify we're using the vendored version (has VERSION and LICENSE files).""" + import tensorrt_llm # noqa: F401, I001 + import triton_kernels + + triton_kernels_path = Path(triton_kernels.__file__).parent + + # VERSION file is added by our vendor script and not present in external installations + version_file = triton_kernels_path / "VERSION" + self.assertTrue( + version_file.exists(), + f"VERSION file not found at {version_file}. " + "This suggests an external triton_kernels is being used instead of our vendored version.", + ) + + # LICENSE file should also be present for compliance + license_file = triton_kernels_path / "LICENSE" + self.assertTrue(license_file.exists(), f"LICENSE file not found at {license_file}.") + + def test_version_matches_requirements(self): + """Verify vendored triton_kernels VERSION matches triton version in requirements.txt.""" + import re + + repo_root = Path(__file__).parent.parent.parent.parent + + version_file = repo_root / "triton_kernels" / "VERSION" + vendored_version = version_file.read_text().strip().split()[0].lstrip("v") + + requirements_file = repo_root / "requirements.txt" + requirements_text = requirements_file.read_text() + + match = re.search(r"^triton==([^\s#]+)", requirements_text, re.MULTILINE) + self.assertIsNotNone(match, "Could not find triton version in requirements.txt") + requirements_version = match.group(1) + + self.assertEqual( + vendored_version, + requirements_version, + f"Vendored triton_kernels version ({vendored_version}) does not match " + f"triton version in requirements.txt ({requirements_version}). " + "To update the vendored triton_kernels, run: python scripts/vendor_triton_kernels.py " + f"--tag v{requirements_version}", + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/unittest/utils/util.py b/tests/unittest/utils/util.py index 2c731e9110b1..828bf08ea55b 100644 --- a/tests/unittest/utils/util.py +++ b/tests/unittest/utils/util.py @@ -106,6 +106,9 @@ def isSM100Family(): skip_pre_hopper = pytest.mark.skipif( getSMVersion() < 90, reason="This test is not supported in pre-Hopper architecture") +skip_no_hopper = pytest.mark.skipif( + getSMVersion() != 90, + reason="This test is only supported in Hopper architecture") skip_pre_blackwell = pytest.mark.skipif( getSMVersion() < 100, reason="This test is not supported in pre-Blackwell architecture") diff --git a/triton_kernels/LICENSE b/triton_kernels/LICENSE new file mode 100644 index 000000000000..1d0238e86b1b --- /dev/null +++ b/triton_kernels/LICENSE @@ -0,0 +1,23 @@ +/* +* Copyright 2018-2020 Philippe Tillet +* Copyright 2020-2022 OpenAI +* +* Permission is hereby granted, free of charge, to any person obtaining +* a copy of this software and associated documentation files +* (the "Software"), to deal in the Software without restriction, +* including without limitation the rights to use, copy, modify, merge, +* publish, distribute, sublicense, and/or sell copies of the Software, +* and to permit persons to whom the Software is furnished to do so, +* subject to the following conditions: +* +* The above copyright notice and this permission notice shall be +* included in all copies or substantial portions of the Software. +* +* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +*/ diff --git a/triton_kernels/README.md b/triton_kernels/README.md new file mode 100644 index 000000000000..4d6005b9f4b0 --- /dev/null +++ b/triton_kernels/README.md @@ -0,0 +1,24 @@ +# Vendored triton_kernels + +This directory contains code vendored from the [Triton](https://github.com/triton-lang/triton) project. + +| | | +|---|---| +| **Copyright** | The Triton Authors | +| **License** | MIT (see [LICENSE](LICENSE) file in this directory) | +| **Source** | https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels | +| **Version** | `v3.5.1` | + +## Attribution + +This code is the work of the Triton authors and is included here under the MIT License. +Each Python file includes an attribution header indicating its origin. + +## Do Not Edit + +This code is vendored verbatim and should not be modified directly. +To update to a newer version, run: + +```bash +python scripts/vendor_triton_kernels.py --tag +``` diff --git a/triton_kernels/VERSION b/triton_kernels/VERSION new file mode 100644 index 000000000000..c63f79d80cb2 --- /dev/null +++ b/triton_kernels/VERSION @@ -0,0 +1,3 @@ +v3.5.1 +# This file tracks the version of triton-kernels that was vendored. +# To update, run: python scripts/vendor_triton_kernels.py --tag diff --git a/triton_kernels/__init__.py b/triton_kernels/__init__.py new file mode 100644 index 000000000000..7676bb8f765e --- /dev/null +++ b/triton_kernels/__init__.py @@ -0,0 +1,3 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/__init__.py +# Triton is licensed under the MIT License. diff --git a/triton_kernels/compaction.py b/triton_kernels/compaction.py new file mode 100644 index 000000000000..7b0ed10c35a0 --- /dev/null +++ b/triton_kernels/compaction.py @@ -0,0 +1,73 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/compaction.py +# Triton is licensed under the MIT License. + +import torch +from .compaction_details._masked_compaction import _masked_compaction +from .tensor import Bitmatrix + + +def compaction(yv, yi, bitmask, sentinel=-1): + """ + Return compacted copies of *yv* and *yi* based on a per-row bitmask. + + Only the elements whose index appears among the active bits of *bitmask* + are kept; the rest are replaced by *sentinel*. Kept elements preserve + their original left-to-right order. + + Parameters + ---------- + yv : torch.Tensor, shape (B, K) + Values tensor. + yi : torch.Tensor, shape (B, K), dtype torch.long + Integer indices (0 ≤ index < 32) associated with *yv*. + bitmask : torch.Tensor, shape (B,) **or** (B, 32) + Per-row mask of active indices. See the in-place version for details. + sentinel : int, default -1 + Value written into dropped positions of the returned tensors. + + Returns + ------- + (yv_out, yi_out) : Tuple[torch.Tensor, torch.Tensor], each shape (B, K) + New tensors with the same dtype/device as the inputs. + + """ + + n_rows, n_cols = yi.shape + ret_yv = torch.empty_like(yv) + ret_yi = torch.empty_like(yi) + if isinstance(bitmask, Bitmatrix): + bitmask = bitmask.storage.data + + _masked_compaction[(n_rows, )]( + yv, yi, bitmask, bitmask.stride(0), bitmask.stride(1), # inputs + ret_yv, ret_yi, # outputs + sentinel, # sentinel + K=n_cols # constants + ) + return ret_yv, ret_yi + + +def compaction_torch(yv: torch.Tensor, yi: torch.Tensor, bitmask: torch.Tensor, sentinel=-1): + """ + reference implementation of `masked_compact` + """ + B, K = yi.shape + device = yi.device + # Expand bitmask to a boolean matrix of active bits (B, 32) + w = (1 << torch.arange(32, device=device, dtype=bitmask.dtype)) + bits = (bitmask.unsqueeze(-1) & w) != 0 + mask = bits.flatten(start_dim=-2) # or bits.reshape(B, -1) + # For every yi element decide whether it should be kept + keep = mask.gather(1, yi.long()) + # Build a stable permutation that brings all "keep" items forward + # False→0, True→1 ==> invert so kept==0, dropped==1, then argsort + order = (~keep).to(torch.int).argsort(dim=1, stable=True) + # Re‑order tensors according to above permutation + yi_sorted = yi.gather(1, order) + yv_sorted = yv.gather(1, order) + # fill relevant positions with sentinel + keep_sorted = keep.gather(1, order) + yi_sorted[~keep_sorted] = sentinel + yv_sorted[~keep_sorted] = sentinel + return yv_sorted, yi_sorted diff --git a/triton_kernels/compaction_details/__init__.py b/triton_kernels/compaction_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/compaction_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/compaction_details/_masked_compaction.py b/triton_kernels/compaction_details/_masked_compaction.py new file mode 100644 index 000000000000..1432644d4471 --- /dev/null +++ b/triton_kernels/compaction_details/_masked_compaction.py @@ -0,0 +1,24 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/compaction_details/_masked_compaction.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + + +@triton.jit +def _masked_compaction(Yv, Yi, BitMask, stride_bm, stride_bn, RetYv, RetYi, sentinel, K: tl.constexpr): + pid_m = tl.program_id(0) + yv = tl.load(Yv + pid_m * K + tl.arange(0, K)) + yi = tl.load(Yi + pid_m * K + tl.arange(0, K)) + div = yi // 32 + rem = yi % 32 + active_bits = (tl.load(BitMask + pid_m * stride_bm + div * stride_bn) >> rem) & 1 + exc_cumsum = tl.cumsum(active_bits, 0) - active_bits + active_flags = active_bits.to(tl.int1) + rev_arange = tl.where(active_flags, 0, K - 1 - tl.arange(0, K)) + write_indx = exc_cumsum + rev_arange + yv = tl.where(active_flags, yv, sentinel) + yi = tl.where(active_flags, yi, sentinel) + tl.store(RetYv + pid_m * K + write_indx, yv) + tl.store(RetYi + pid_m * K + write_indx, yi) diff --git a/triton_kernels/matmul_ogs.py b/triton_kernels/matmul_ogs.py new file mode 100644 index 000000000000..b2cc83b2b542 --- /dev/null +++ b/triton_kernels/matmul_ogs.py @@ -0,0 +1,613 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs.py +# Triton is licensed under the MIT License. + +# isort: off +# fmt: off +from dataclasses import dataclass +import itertools +import sys +import torch +import triton +from enum import Enum, auto +import math +# utilities +from triton_kernels import target_info +from triton_kernels.numerics import InFlexData, OutFlexData +from triton_kernels.routing import GatherIndx, RoutingData, ScatterIndx +from triton_kernels.target_info import is_cuda +# details +from .matmul_ogs_details._matmul_ogs import _matmul_ogs +from .matmul_ogs_details._p_matmul_ogs import _p_matmul_ogs, get_per_device_per_stream_alloc_fn +from .matmul_ogs_details._reduce_grouped import _reduce_grouped +from .numerics_details.mxfp import MXFP_BLOCK_SIZE +from .matmul_ogs_details.opt_flags import make_opt_flags, update_opt_flags_constraints, InapplicableConstraint +from .specialize import specialize +from .tensor import Storage, Tensor, FP4, bitwidth, wrap_torch_tensor + + +@dataclass(frozen=True) +class FnSpecs: + name: str + fn: "triton.runtime.jit.JITFunction" + fn_arg_names: tuple[str] + fn_arg_do_not_specialize: tuple[str] = tuple() + + @staticmethod + def default(): + return FnSpecs("dflt", None, tuple()) + + +@dataclass(frozen=True) +class FusedActivation: + specs: FnSpecs = FnSpecs.default() + fn_args: tuple[object] = tuple() + reduction_n: int = 1 + + +@dataclass(frozen=True) +class Epilogue: + specs: FnSpecs = FnSpecs.default() + fn_arg_values_matmul: tuple[object] = tuple() + fn_arg_values_finalize: tuple[object] = tuple() + effective_itemsize: float = None + +class FnName(Enum): + QUANTIZE_MXFP8 = auto() + + +EpilogueSpecs = FnSpecs # TODO: remove this alias when callers are updated + +_kernels = dict() + + +def get_kernels(epilogue: FnSpecs = FnSpecs.default(), fused_activation: FnSpecs = FnSpecs.default()): + global _kernels + key = (fused_activation.name, epilogue.name) + if key in _kernels: + return _kernels[key] + spec_constants = { + "ACTIVATION_FN": fused_activation.fn, + "EPILOGUE_FN": epilogue.fn, + } + spec_tuples = { + "activation_fn_args": fused_activation.fn_arg_names, + "epilogue_fn_args": epilogue.fn_arg_names, + } + do_not_specialize = fused_activation.fn_arg_do_not_specialize + epilogue.fn_arg_do_not_specialize + import types + + module = types.ModuleType(f"matmul_ogs_{'_'.join(key)}") + sys.modules[module.__name__] = module + module._matmul_ogs = specialize(_matmul_ogs, module, spec_constants, spec_tuples, + do_not_specialize=do_not_specialize) + module._p_matmul_ogs = specialize(_p_matmul_ogs, module, spec_constants, spec_tuples, + do_not_specialize=do_not_specialize) + module._reduce_grouped = specialize(_reduce_grouped, module, spec_constants, spec_tuples, + do_not_specialize=do_not_specialize) + _kernels[key] = module + return module + + +# ----------------------------------------------------------------------------- +# Matrix Multiplication + Outer Gather/Scatter +# ----------------------------------------------------------------------------- + + +def can_overflow_int32(tensor: torch.Tensor): + max_int32 = (1 << 31) - 1 + offset = 0 + for i in range(tensor.ndim): + offset += (tensor.shape[i] - 1) * tensor.stride(i) + return offset > max_int32 + + +def should_upcast_indices(*args): + return any(tensor is not None and can_overflow_int32(tensor) for tensor in args) + + +# --------------------- +# Numerics +# --------------------- + +# fmt: off + +@dataclass(frozen=True) +class FlexCtx: + lhs_data: InFlexData = InFlexData() + rhs_data: InFlexData = InFlexData() + out_data: OutFlexData = OutFlexData() + +@dataclass +class PrecisionConfig: + max_num_imprecise_acc: int = None + allow_tf32: bool = True + flex_ctx: FlexCtx = FlexCtx() + acc_scale: int = 1.0 + flexpoint_saturate_inf: bool = False + report_quantization_err_fn: callable = None + act_scale: Tensor | None = None + weight_scale: Tensor| None = None + out_scale: Tensor | None = None + out_dtype: torch.dtype = None + enforce_bitwise_invariance: bool = False + + +# TODO: merge in opt_flags +def get_swap_xw(precision_config, opt_flags): + if target_info.cuda_capability_geq(10, 0): + return precision_config.weight_scale is not None and opt_flags.block_m <= 64 and opt_flags.is_persistent + return False + +# --------------------- +# Allocation +# --------------------- + +@dataclass +class MatmulAllocation: + device: str + output: tuple[tuple[int], torch.dtype] + scratchpads: dict[str, tuple] + +def init_allocation(x, w, precision_config, fused_activation, routing_data, gather_indx, scatter_indx, opt_flags): + # ---- output ------ + N = w.shape[-1] + # by default - M is number of rows in the activations + M = x.shape[-2] + # if the activations are gathered, then M is number of gather indices + if gather_indx is not None: + M = gather_indx.src_indx.shape[0] + # final output + if routing_data.n_expts_act == 1 or scatter_indx is None: + y_rows = M + else: + Mc = scatter_indx.src_indx.shape[0] // routing_data.n_expts_act # compressed number of rows + y_rows = Mc + batch_dim = x.shape[0] if x.ndim == 3 else 1 + out_shape = (batch_dim, y_rows, N // fused_activation.reduction_n) + out_dtype = precision_config.out_dtype or x.dtype + output = (out_shape, out_dtype) + # ---- scratchpad -----# + scratchpad = dict() + if opt_flags.split_k > 1 or (scatter_indx is not None and not opt_flags.fused_scatter): + scratch_out_dtype = torch.float32 if opt_flags.split_k > 1 else out_dtype + scratchpad["matmul"] = ((opt_flags.split_k, 1, M, N), scratch_out_dtype) + if "matmul" in scratchpad and precision_config.out_scale is not None: + scratchpad["mx_out_scale"] = ((opt_flags.split_k, 1, M, triton.cdiv(N, MXFP_BLOCK_SIZE)), torch.uint8) + return MatmulAllocation(x.device, output, scratchpad) + +def apply_allocation(allocation: MatmulAllocation, output): + ret = dict() + if output is None: + output = torch.empty(allocation.output[0], device=allocation.device, dtype=allocation.output[1]) + else: + assert output.shape == allocation.output[0] + ret["output"] = output[None, :, :] + ret["scratchpad"] = { + k: torch.empty(v[0], device=allocation.device, dtype=v[1]) + for k, v in allocation.scratchpads.items() + } + return ret + +# ----------------------------------------------------------------------------- +# Canonicalize +# ----------------------------------------------------------------------------- +# the `matmul_ogs` kernel can operate on 2D or 3D inputs depending on the mode being used +# we can canonicalize storages to make the implementation more uniform + +def _canonicalize_storage(storage, out_ndim, flex_data): + assert out_ndim >= storage.data.ndim + # Need to use as_strided instead of view because for a tensor with + # shape[-2] == 1 can have ambuiguity related to col-wise. Fo example, + # > t = torch.randn(2, 5, 1).mT + # > t_view = t.view(t.shape) + # > t.stride(), t_view.stride() + # ((5, 1, 1), (5, 5, 1)) + # Our check t_view is col-wise fails since t_view.stride(-2) != 1 + # This case is covered by (m, n, k) == (1000, 700, 2) in test_matmul.py + new_storage_shape = [1] * (out_ndim - storage.data.ndim) + list(storage.data.shape) + new_storage_view = storage.data.view(new_storage_shape) + new_storage_stride = [new_storage_view.stride(0)] * (out_ndim - storage.data.ndim) + list(storage.data.stride()) + new_storage_data = storage.data.as_strided(new_storage_shape, new_storage_stride) + if flex_data is not None: + new_storage_data = flex_data.reinterpret(new_storage_data) + return Storage(new_storage_data, storage.layout) + +# + +def reduce_grouped(x: torch.Tensor, indx: torch.Tensor, out: torch.Tensor, out_mx_scale: torch.Tensor, + fused_activation, epilogue, + x_flex: InFlexData | None = None, + out_flex: OutFlexData | None = None, x_mx_scale: torch.Tensor | None = None, + out_dtype: bool = None, flexpoint_saturate_inf: bool = False): + """ + In-place grouped row reduction. + + Arguments + - x: Tensor[AnyFloat] of shape [(num_groups * K), N] + - indx: Tensor[Int] of shape [num_groups, K] + + Description + For each group g in [0, num_groups), this routine sums the K rows of `x` + specified by `indx[g, :]` and overwrites the row corresponding to the first + valid (non-negative) index with the per-group sum. Accumulation is performed + in float32 for numerical stability, and the result is written back in the + dtype of `x`. + + Behavior and edge cases + - Invalid (-1) entries are skipped during accumulation and do not generate + memory traffic. If a group has no valid entries, nothing is written for + that group. + - Reduction is performed tile-by-tile along the N dimension within a single + kernel launch (persistent along N) to minimize launch overhead. + + Performance notes + - Memory traffic per group is approximately (valid_rows_read + 1) * N * sizeof(x), + plus index reads. With no invalid entries, this becomes (K + 1) reads/writes + of length N per group. + + Returns + - The input tensor `x` (modified in place). + """ + if indx is None and x.shape[0] == 1: + return x.squeeze(0), None + if indx is not None: + num_groups = indx.shape[0] + else: + num_groups = x.shape[-2] + if x_flex is None: + x_flex = InFlexData() + if out_flex is None: + out_flex = OutFlexData() + K = 1 if indx is None else indx.shape[1] + out_dtype = x.dtype if out_dtype is None else out_dtype + assert x.shape[-1] % fused_activation.reduction_n == 0 + BLOCK_N = 512 + # Resolve scalar flex scales (may be None) + x_expected_scale = None if x_flex is None else x_flex.scale + out_expected_scale = None if out_flex is None else out_flex.expected_scale + out_actual_scale = None if out_flex is None else out_flex.actual_scale + out_checksum_scale = None if out_flex is None else out_flex.checksum_scale + # Resolve MXFP output scale row stride + stride_mxb = 0 if x_mx_scale is None else x_mx_scale.stride(0) + stride_mxs = 0 if x_mx_scale is None else x_mx_scale.stride(1) + stride_omxs = 0 if out_mx_scale is None else out_mx_scale.stride(0) + kernels = get_kernels(epilogue.specs, fused_activation.specs) + kernels._reduce_grouped[(num_groups, )]( + x_flex.reinterpret(x), x.stride(0), x.stride(2), x.stride(3), # + x_expected_scale, # scalar input scale + out_flex.reinterpret(out), out.stride(1), out.stride(2), # + out_expected_scale, out_actual_scale, out_checksum_scale, indx, # + x.shape[0], x.shape[-1], # + x_mx_scale, stride_mxb, stride_mxs, # + out_mx_scale, stride_omxs, # + *fused_activation.fn_args, fused_activation.reduction_n, + *epilogue.fn_arg_values_finalize, + HAS_IN_MX_SCALE=x_mx_scale is not None, HAS_OUT_MX_SCALE=out_mx_scale is not None, + FLEXPOINT_SATURATE_INF=flexpoint_saturate_inf, # + BLOCK_N=BLOCK_N, K=K, # + num_warps=1, # + ) + return out, out_mx_scale + +# ----------------------------------------------------------------------------- +# Triton Implementation +# ----------------------------------------------------------------------------- + +def matmul_ogs_set_idle_sms(num_idle_sms): + """ + persistent kernels will leave `num_idle_sms` idle + """ + update_opt_flags_constraints({"idle_sms": num_idle_sms}) + +def matmul_ogs(x, w, bias, + routing_data: RoutingData | None = None, + gather_indx: GatherIndx | None = None, + scatter_indx: ScatterIndx | None = None, + precision_config: PrecisionConfig | None = None, + betas: torch.Tensor | None = None, + gammas: torch.Tensor | None = None, + out_alpha: float | None = None, + y: torch.Tensor | None = None, + fused_activation: FusedActivation | None = None, + epilogue: Epilogue | None = None, + ): + """ + Y[:, :] = 0. + for e in num_experts: + Y[idxs_y_m(e), :] += matmul(X[idxs_x_m(e), :], W[e, :, :]) + """ + is_input_batched = x.ndim == 3 + if is_input_batched: + assert gather_indx is None, "gather not supported in batched mode" + assert scatter_indx is None, "scatter not supported in batched mode" + assert routing_data is None, "routing not supported in batched mode" + assert w.ndim == 3 and w.shape[0] == x.shape[0] + # canonicalize inputs + if precision_config is None: + precision_config = PrecisionConfig() + if fused_activation is None: + fused_activation = FusedActivation(FnSpecs.default(), tuple(), 1) + if epilogue is None: + epilogue = Epilogue(FnSpecs.default(), tuple(), tuple(), False) + if routing_data is None: + routing_data = RoutingData(None, None, max(1, w.shape[0]), 1) + # unpack scales + w_scale = precision_config.weight_scale + w_has_mx = w_scale is not None + is_hopper_fp8 = is_cuda() and not target_info.cuda_capability_geq(10, 0) and bitwidth(w.dtype) == 8 + if is_hopper_fp8: assert w.stride(-2) == 1, "`w` must be column-major when it has data-type FP8 on capability < 10" + if not isinstance(w, Tensor): + # TODO: remove this code path; using uint8 for mxfp4 weight will bite us when we want to support uint8 for real + dtype = FP4 if w.dtype == torch.uint8 else w.dtype + w = wrap_torch_tensor(w, dtype=dtype) + if w_scale is not None and not isinstance(w_scale, Tensor): + w_scale = Tensor(w_scale) + if w_scale is not None: + w_scale.storage.data = w_scale.data.view(torch.uint8) + w_scale.dtype = torch.uint8 + x_scale = precision_config.act_scale + x_has_mx = x_scale is not None + if x_has_mx: assert x.stride(-1) == 1, "'x' must be row-major when it has data-type mxfp" + if x_scale is not None and not isinstance(x_scale, Tensor): + x_scale = Tensor(x_scale) + if not isinstance(x, Tensor): + x = Tensor(x, dtype=x.dtype) + # determine shapes + has_gather = gather_indx is not None + has_scatter = scatter_indx is not None + is_ragged = routing_data.expt_hist is not None + M = x.shape[-2] if gather_indx is None else gather_indx.src_indx.shape[0] + batch_size = w.shape[0] if routing_data.expt_hist is None and w.ndim == 3 else 1 + K, N = w.shape[-2:] + assert K == x.shape[-1] + if x.ndim == 3 and w.ndim == 3: + assert x.shape[0] == w.shape[0] + # compute optimization flags + out_dtype = precision_config.out_dtype or x.dtype + can_use_tma = x.numel() > 0 and x.storage.is_tma_compliant() and \ + w.numel() > 0 and w.storage.is_tma_compliant() and \ + (w_scale is None or w_scale.storage.is_tma_compliant()) + # hopper w/ mxfp4 doesn't support TMA + can_use_tma = can_use_tma and (torch.cuda.get_device_capability()[0] > 9 or bitwidth(w.dtype) != 4) + can_use_fused_scatter = has_scatter and (fused_activation.specs.fn is None) and (epilogue.specs.fn is None) and (routing_data.n_expts_act == 1) + opt_flags = make_opt_flags(out_dtype, x.dtype, w.dtype, precision_config, + M, N, K, routing_data, can_use_tma, can_use_fused_scatter, epilogue.effective_itemsize, + ) + if not can_use_fused_scatter and opt_flags.fused_scatter: + raise InapplicableConstraint("Fused scatter is not supported") + if w_scale is not None and opt_flags.is_persistent and not target_info.has_native_mxfp(): + raise NotImplementedError("Must use non-persistent kernel for simulated MXFP") + if w_scale is not None and w_scale.storage.layout.name is not None and not opt_flags.is_persistent and target_info.has_native_mxfp(): + raise NotImplementedError("Must use persistent kernel and be TMA-compliant for native MXFP") + # fused activation + matmul_fused_activation = fused_activation + reduce_fused_activation = FusedActivation() + if opt_flags.split_k > 1 or (scatter_indx is not None and not opt_flags.fused_scatter): + matmul_fused_activation, reduce_fused_activation = reduce_fused_activation, matmul_fused_activation + # allocate output/scratchpad memory + allocation = init_allocation(x, w, precision_config, fused_activation, + routing_data, gather_indx, scatter_indx, opt_flags) + memory = apply_allocation(allocation, y) + # early exit + if batch_size * M * N == 0: + ret = memory["output"].squeeze(0) + if not is_input_batched: + ret = ret.squeeze(0) + return ret + # TMA descriptors require a global memory allocation + if opt_flags.is_persistent: + triton.set_allocator(get_per_device_per_stream_alloc_fn(x.device)) + # Intermediate tensors and postprocess kernels for each situation + has_scratchpad = "matmul" in memory["scratchpad"] + # Canonical output tensor (matmul scratchpad if present, otherwise final output tensor) + out_matmul = memory["scratchpad"].get("matmul", memory["output"]) + out_matmul_flex = OutFlexData() if out_matmul.dtype == torch.float32 else precision_config.flex_ctx.out_data + # Unified mx-scale pointer; when scratchpad exists, prefer its mx buffer + out_matmul_scale = precision_config.out_scale + if out_matmul_scale is not None: + out_matmul_scale = out_matmul_scale.data.view(torch.uint8) + if has_scratchpad and "mx_out_scale" in memory["scratchpad"]: + out_matmul_scale = memory["scratchpad"]["mx_out_scale"] + out_matmul_has_mx = out_matmul_scale is not None and out_matmul.element_size() == 1 + # matrix multiplication + flex = precision_config.flex_ctx + bias_stride = None if bias is None else bias.stride(0) + num_indx = None if scatter_indx is None else scatter_indx.src_indx.shape[0] + # moe metadata + expt_data = routing_data.expt_data + block_m = opt_flags.block_m + expt_hist = None if expt_data is None else expt_data.hist + expt_hist_sum = None if expt_data is None else expt_data.token_offs_pad[block_m][-1] + expt_token_offs_raw = None if expt_data is None else expt_data.token_offs_raw + expt_block_pid_map = None if expt_data is None else expt_data.block_pid_map[block_m] + # spmd grid + grid_m = triton.cdiv(M, opt_flags.block_m) + if expt_block_pid_map is not None: + grid_m = routing_data.n_blocks(M, opt_flags.block_m) + grid_n = triton.cdiv(N, opt_flags.block_n) + max_grid = batch_size * grid_m * grid_n * opt_flags.split_k + grid = min(target_info.num_sms() - opt_flags.idle_sms, max_grid) if opt_flags.is_persistent else max_grid + # canonicalize storage + has_gather_tma = has_gather and target_info.has_tma_gather() + has_scatter_tma = opt_flags.fused_scatter and target_info.has_tma_gather() + y = wrap_torch_tensor(out_matmul.view(math.prod(out_matmul.shape[:-1]), out_matmul.shape[-1]) if opt_flags.fused_scatter else out_matmul.view(math.prod(out_matmul.shape[:-2]), *out_matmul.shape[-2:])) + x_storage = _canonicalize_storage(x.storage, 2 if has_gather_tma else 3, flex.lhs_data) + w_storage = _canonicalize_storage(w.storage, 3, flex.rhs_data) + y_storage = _canonicalize_storage(y.storage, 2 if has_scatter_tma else 3, flex.out_data) + # create tma descriptor for x + x_has_tma = opt_flags.is_persistent and (has_gather_tma or not has_gather) + x_tma_block_size = [1, opt_flags.block_k] if has_gather_tma else [1, opt_flags.block_m, opt_flags.block_k] + x_tma_mode = None if not x_has_tma else "ragged" if is_ragged and not has_gather_tma else "dense" + x_tensor_or_tma = x_storage.make_tma(x_tma_block_size, x_tma_mode) if x_has_tma else x_storage.data + # create tma descriptor for y + y_has_tma = opt_flags.is_persistent and (has_scatter_tma or not opt_flags.fused_scatter) + block_n = opt_flags.block_n // opt_flags.epilogue_subtile // matmul_fused_activation.reduction_n + y_tma_block_size = [1, block_n] if has_scatter_tma else [1, opt_flags.block_m, block_n] + y_tma_mode = None if not y_has_tma else "ragged" if is_ragged and not has_scatter_tma else "dense" + y_tensor_or_tma = y_storage.make_tma(y_tma_block_size, y_tma_mode) if y_has_tma else y_storage.data + # create tma descriptor for w + w_has_tma = opt_flags.is_persistent + w_tensor_or_tma = w_storage.make_tma([1, opt_flags.block_k, opt_flags.block_n], "dense") if w_has_tma else w_storage.data + # create tma descriptor for w_scale + w_scale_tensor_or_tma = w_scale + w_scale_has_tma = opt_flags.is_persistent and w_scale is not None + w_scale_tensor_or_tma = w_scale.storage.make_tma([opt_flags.block_n, opt_flags.block_k], "dense") if w_scale_has_tma else w_scale + # canonicalize strides + x_strides = [0]*(3 - x_storage.data.ndim) + list(x_storage.data.stride()) + x_scale_strides = x_scale.stride() if x_has_mx else (None, None, None) + x_scale_strides = (0, ) * (3 - len(x_scale_strides)) + x_scale_strides + w_scale_strides = w_scale.stride() if w_has_mx and not w_scale_has_tma else (None, None, None) + w_scale_strides = (0, ) * (3 - len(w_scale_strides)) + w_scale_strides + out_matmul_scale_strides = out_matmul_scale.stride() if out_matmul_has_mx else (None, None, None, None) + out_matmul_scale_strides = (0, ) * (3 - len(out_matmul_scale_strides)) + out_matmul_scale_strides + # launch kernel + kernels = get_kernels(epilogue.specs, matmul_fused_activation.specs) + # When stride(-2) == stride(-1) == 1, it's ambiguous whether W is transposed + # (i.e. col-wise). Since this matters when w_has_mx is True and w_transpose + # is True the fast code path, stride(-2) == 1 takes precedence, e.g., vs. + # w_transpose = w_storage.data.stride()[-1] != 1 + w_transpose = w_storage.data.stride()[-2] == 1 + (kernels._p_matmul_ogs if opt_flags.is_persistent else kernels._matmul_ogs)[(grid,)]( + y_tensor_or_tma, y_storage.data, *out_matmul.stride(), + *((None, out_matmul_scale, None) if out_matmul_has_mx else out_matmul_flex), + *out_matmul_scale_strides[-3:], + x_tensor_or_tma, x_storage.data, *x_strides, + flex.lhs_data.scale, + None if x_scale is None else x_scale.data.view(torch.uint8), *x_scale_strides, + w_tensor_or_tma, w_storage.data, *w_storage.data.stride(), w_transpose, + flex.rhs_data.scale, + w_scale_tensor_or_tma, *w_scale_strides, + bias, bias_stride, + x.shape[-2], + x.shape[-2] if routing_data.expt_hist is None else None, + N, K, + betas, gammas, + None if gather_indx is None else gather_indx.src_indx, + None if scatter_indx is None else scatter_indx.src_indx, + num_indx, + None if not opt_flags.fused_scatter else scatter_indx.dst_indx, + None if not opt_flags.fused_scatter else scatter_indx.dst_indx.shape[0], + expt_hist, expt_token_offs_raw, expt_hist_sum, expt_block_pid_map, + batch_size, grid_m, grid_n, + out_alpha, + *matmul_fused_activation.fn_args, matmul_fused_activation.reduction_n, + *epilogue.fn_arg_values_matmul, + routing_data.n_expts_tot, routing_data.n_expts_act, + precision_config.max_num_imprecise_acc, + precision_config.allow_tf32, + precision_config.flexpoint_saturate_inf, + flex.rhs_data.is_per_batch, + opt_flags.block_m, + opt_flags.block_n, + opt_flags.block_k, + opt_flags.group_m, + XCD_SWIZZLE=opt_flags.xcd_swizzle, + SWIZZLE_MX_VALUE=w.storage.layout.name, + SWIZZLE_MX_SCALE=None if w_scale is None else w_scale.storage.layout.name, + EPILOGUE_SUBTILE=opt_flags.epilogue_subtile, + SPLIT_K=opt_flags.split_k, + EVEN_K=K % opt_flags.block_k == 0, + W_CACHE_MODIFIER=opt_flags.w_cache_modifier, + TOKENS_PER_EXPT_FOR_ANNOTATION=routing_data.expected_tokens_per_expt, + num_warps=opt_flags.num_warps, + num_stages=opt_flags.num_stages, + arch=opt_flags.arch, + UPCAST_INDICES=should_upcast_indices(x, w, out_matmul), + X_TMA_MODE=x_tma_mode, + Y_TMA_MODE=y_tma_mode, + SWAP_XW=get_swap_xw(precision_config, opt_flags), + IS_EPILOGUE_QUANT_MXFP8=epilogue.specs.name == FnName.QUANTIZE_MXFP8.name, + NUM_SMS = grid if opt_flags.is_persistent else 0, + **opt_flags.target_kernel_kwargs) + # Build grouped reduction inputs in a uniform way + group_indx = None if scatter_indx is None or opt_flags.fused_scatter else scatter_indx.src_indx.view(-1, routing_data.n_expts_act) + out_final, out_final_mx_scale = reduce_grouped( + out_matmul, + group_indx, + memory["output"].squeeze(0), + precision_config.out_scale, + reduce_fused_activation, + epilogue, + x_flex=InFlexData(dtype=out_matmul_flex.dtype, scale=out_matmul_flex.expected_scale), + out_flex=precision_config.flex_ctx.out_data, + x_mx_scale=out_matmul_scale.squeeze(1) if out_matmul_has_mx else None, + out_dtype=memory["output"].dtype, + flexpoint_saturate_inf=precision_config.flexpoint_saturate_inf, + ) + if not is_input_batched: + out_final = out_final.squeeze(0) + if out_final_mx_scale is not None: + precision_config.out_scale = out_final_mx_scale + return out_final + +# ----------------------------------------------------------------------------- +# Reference Implementation +# ----------------------------------------------------------------------------- + +def matmul_ogs_torch(x, w, bias, + routing_data: RoutingData = None, + gather_indx: GatherIndx = None, + scatter_indx: ScatterIndx = None, + precision_config: PrecisionConfig = None, + betas = None, + gammas = None, + round_x = None, round_y = None, + ): + is_input_batched = x.ndim == 3 + assert x.dtype.itemsize > 1 + assert w.dtype.itemsize > 1 + if is_input_batched: + assert gather_indx is None, "gather not supported in batched mode" + assert scatter_indx is None, "scatter not supported in batched mode" + assert routing_data is None, "routing not supported in batched mode" + assert w.ndim == 3 and w.shape[0] == x.shape[0] + if round_x is None: + round_x = lambda x, idx: x + if round_y is None: + round_y = lambda x: x + if bias is not None and bias.ndim == 1: + bias = bias.view(1, *bias.shape) + if w.ndim == 2: + w = w.view(1, *w.shape) + if x.ndim == 2: + x = x.view(1, *x.shape) + if routing_data is None: + routing_data = RoutingData(None, None, w.shape[0], 1) + n_expts_act = routing_data.n_expts_act + # memory offsets + if routing_data.n_expts_tot > 1 and not is_input_batched: + sizes = routing_data.expt_hist + off = torch.zeros(sizes.shape[0] + 1, dtype=torch.int32) + off[1:] = torch.cumsum(sizes, 0) + offs = list(itertools.pairwise(off)) + else: + offs = [[0, x.shape[1]] for _ in range(w.shape[0])] + # compute + n_rows = x.shape[1] if gather_indx is None else gather_indx.dst_indx.shape[0] + y = torch.zeros((x.shape[0], n_rows, w.shape[-1]), device=x.device, dtype=x.dtype) + for i, (lo, hi) in enumerate(offs): + if gather_indx is None: + idx = torch.arange(lo, hi, device=x.device) + else: + idx = gather_indx.src_indx[lo:hi] // n_expts_act + batch = i if is_input_batched else 0 + out = torch.matmul(round_x(x[batch, idx, :], torch.arange(lo, hi, device="cuda")).float(), + w[i].float()) + if bias is not None: + out += bias[i, :] if betas is None else bias[i, :] * betas[lo:hi, None] + if gammas is not None: + out *= gammas[lo:hi, None] + y[batch, lo:hi, :] = round_y(out) + if not is_input_batched: + y = y.view(y.shape[1], y.shape[2]) + if scatter_indx is None: + return y + # accumulate output from all experts + n_rows = y.shape[0] // n_expts_act + out = torch.zeros((n_rows, y.shape[-1]), dtype=torch.float32, device=x.device) + for i, (lo, hi) in enumerate(offs): + dst_idx = scatter_indx.dst_indx[lo:hi] // n_expts_act + msk = dst_idx != -1 + out[dst_idx[msk], :] += y[lo:hi, :][msk, :].float() + return out diff --git a/triton_kernels/matmul_ogs_details/__init__.py b/triton_kernels/matmul_ogs_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/matmul_ogs_details/_common.py b/triton_kernels/matmul_ogs_details/_common.py new file mode 100644 index 000000000000..c149dcf10efb --- /dev/null +++ b/triton_kernels/matmul_ogs_details/_common.py @@ -0,0 +1,169 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/_common.py +# Triton is licensed under the MIT License. + +import torch + +import triton +import triton.language as tl + +# ----------------------------------------------------------------------------- +# Utilities +# ----------------------------------------------------------------------------- + + +@triton.constexpr_function +def get_scaled_dot_format_string(dtype: tl.dtype): + mapping = { + tl.float16: "fp16", + tl.bfloat16: "bf16", + tl.uint8: "e2m1", + tl.float8e4nv: "e4m3", + tl.float8e5: "e5m2", + } + return mapping[dtype] + + +@triton.jit +def xcd_swizzle(pid, domain_size, XCD_SWIZZLE: tl.constexpr): + """ + Swizzle the program id based on integer XCD_SWIZZLE. + This is useful for reording how blocks are ordered. A scheduler may, for example, + assign sequential blocks 0, 1, 2, 3, ..., 8, 9, 10.. to its 8 hardware units 0, 1, 2, 3, ..., 0, 1, 2. + This pattern may not be ideal for memory access, and it may be better to swizzle so the assignment + becomes 0, 0, 0, 0, ..., 1, 1, 1, ... In the swizzled arrangement, sequential blocks are assigned to + the same hardware unit. + """ + # Number of pids per group in the new arrangement + pids_per_group = domain_size // XCD_SWIZZLE + extra_pid_groups = domain_size % XCD_SWIZZLE + + # Compute current current and local pid within the group + group = pid % XCD_SWIZZLE + local_pid = pid // XCD_SWIZZLE + + # Calculate new pid based on the new grouping + new_pid = group * pids_per_group + min(group, extra_pid_groups) + local_pid + return new_pid + + +@triton.jit +def swizzle2d(pid, grid_m, grid_n, GROUP_M: tl.constexpr): + width = GROUP_M * grid_n + group_id = pid // width + group_size = min(grid_m - group_id * GROUP_M, GROUP_M) + tl.assume(group_size >= 0) + pid_m = group_id * GROUP_M + (pid % group_size) + pid_n = (pid % width) // (group_size) + return pid_m, pid_n + + +def make_matmul_repr(base_name, order): + + def matmul_repr(specialization): + signature = specialization.signature + constants = specialization.constants + reorder = lambda L: [L[i] for i in order] + layout = lambda stride: "N" if stride in constants else "T" + + def convert_dtype(dtype): + if "tensordesc" in dtype: + ret = convert_dtype(dtype.split("<")[1].split("[")[0]) + return ret + elif "u8" in dtype: + return "mxfp4" + elif dtype[0] == "*": + return dtype[1:] + else: + return dtype + + dtypes = "x".join([convert_dtype(f"{signature[i]}") for i in reorder(["Y", "X", "W"])]) + layouts = "".join([f"{layout(i)}" for i in reorder(["stride_y_n", "stride_x_k", "stride_w_n"])]) + blocks = "x".join([f"{constants[i]}" for i in ["BLOCK_M", "BLOCK_N", "BLOCK_K", "SPLIT_K"]]) + # mode = [] + # if "GatherIndx" not in constants: + # mode += ['g'] + # if "ScatterSrcIndx" not in constants: + # mode += ['s'] + # suffix = "" if not mode else "_o" + (''.join(mode)) + # if base_name.startswith("_p"): + # suffix += "_ptma" + return f"{base_name}_{layouts}_{dtypes}_{blocks}" + + return matmul_repr + + +def matmul_launch_metadata(grid, kernel, args): + from ..proton_opts import launch_metadata_allow_sync + + ret = dict() + M, N, K = args["M"], args["N"], args["K"] + Y, X, W = args["YPtr"], args["XPtr"], args["WPtr"] + tokens_per_expt = args.get("TOKENS_PER_EXPT_FOR_ANNOTATION") + hist = args["ExptHist"] + if hist is not None: + # If annotation is given, use that to generate name for profiling. + if tokens_per_expt is not None: + n_rows = f"{tokens_per_expt}*" + elif launch_metadata_allow_sync(): + n_rows = int(hist.float().mean()) + else: + n_rows = "unknown" + + if launch_metadata_allow_sync(): + n_tokens = float(hist.sum()) + n_w_bytes = (W.numel() * W.element_size() // hist.numel()) * (hist > 0).sum() + elif tokens_per_expt is not None: + n_tokens = tokens_per_expt * args["N_EXPTS_TOT"] + # This may not be totally correct (e.g., we might not be using all experts) + # but it's better than nothing. + n_w_bytes = W.numel() * W.element_size() + else: + n_tokens = None + n_w_bytes = 0 + + # If annotation is given, use that to generate name for profiling. + tokens_per_expt = args.get("TOKENS_PER_EXPT_FOR_ANNOTATION") + n_rows = f"{tokens_per_expt}*" if tokens_per_expt is not None else n_rows + else: + n_tokens = None + n_w_bytes = W.numel() * W.element_size() + repr = lambda s, x: f"{s} = {x}" if x is not None else f"E_{len(hist)}({s}) = {n_rows}" + nbits = X.dtype.itemsize * 8 + batch_repr = "" + if "batch_size" in args and args["batch_size"] > 1: + batch_repr = repr("B", args["batch_size"]) + ", " + ret["name"] = f"{kernel.name} [{batch_repr}{repr('M', M)}, {repr('N', N)}, {repr('K', K)}] stg{kernel.num_stages}" + ep_subtile = args["EPILOGUE_SUBTILE"] + if ep_subtile is not None and ep_subtile > 1: + ret["name"] += f" ep/{ep_subtile}" + + if hist is not None and n_tokens is None: + return ret # Don't fill metadata because we can't compute them properly. + + fM = M if M is not None else n_tokens + fK = K if K is not None else n_tokens + ret[f"flops{nbits}"] = 2.0 * fM * N * fK + + gindx = args.get("GatherIndx", None) + # sindx = args.get("WriteBackIndx", None) + n_x_bytes = X.numel() * X.element_size() + n_y_bytes = Y.numel() * Y.element_size() + if hist is not None: + assert n_tokens is not None + n_expts_act = args["N_EXPTS_ACT"] + + if (gindx is not None) and launch_metadata_allow_sync(): + # recreate inverse GatherIndx. + dst = torch.full_like(gindx, -1) + idx = torch.arange(len(gindx), device=gindx.device, dtype=torch.int32) + mask = (gindx != -1) + dst[gindx[mask]] = idx[mask] + n_read_rows = (dst.view((-1, n_expts_act)) != -1).any(dim=1).sum() + else: + n_read_rows = n_tokens + n_x_bytes = n_read_rows * X.shape[-1] * X.element_size() + n_y_bytes = n_tokens * Y.shape[-1] * Y.element_size() + ret["bytes"] = int(n_x_bytes + n_y_bytes + n_w_bytes) + + return ret diff --git a/triton_kernels/matmul_ogs_details/_matmul_ogs.py b/triton_kernels/matmul_ogs_details/_matmul_ogs.py new file mode 100644 index 000000000000..9fcffec8ef08 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/_matmul_ogs.py @@ -0,0 +1,433 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/_matmul_ogs.py +# Triton is licensed under the MIT License. + +# isort: off +# fmt: off +import triton +import triton.language as tl +from triton_kernels.tensor_details.layout_details.blackwell_scale import unswizzle_mx_scale_bw +from triton_kernels.tensor_details.layout_details.hopper_scale import unswizzle_mxfp4_scale_hopper +from triton_kernels.tensor_details.layout_details.hopper_value import mxfp4_to_bf16_triton +from triton_kernels.tensor_details.layout_details.cdna4_scale import unswizzle_mx_scale_cdna4 +from triton_kernels.numerics_details.flexpoint import float_to_flex, load_scale +from triton_kernels.numerics_details.mxfp_details._downcast_to_mxfp import MXFP_BLOCK_SIZE +from ._common import make_matmul_repr, matmul_launch_metadata, swizzle2d, xcd_swizzle, get_scaled_dot_format_string + + +@triton.jit +def _zero_masked_rows( + pid_m, pid_n, + Y, stride_y_m, stride_y_n, + N, + ScatterSrcIndx, num_idxs, + BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr): + offs_m = BLOCK_M * pid_m.to(tl.int64) + tl.arange(0, BLOCK_M) + offs_n = BLOCK_N * pid_n + tl.arange(0, BLOCK_N) + src_idx = tl.load(ScatterSrcIndx + offs_m, mask=offs_m < num_idxs, other=0) + YPtrs = Y + offs_m[:, None] * stride_y_m + offs_n[None, :] * stride_y_n + mask_n = offs_n < N + mask = (src_idx == -1)[:, None] & mask_n[None, :] + tl.store(YPtrs, tl.zeros([BLOCK_M, BLOCK_N], dtype=tl.float32), mask=mask) + + +_matmul_ogs_repr = make_matmul_repr("_matmul_ogs", [0, 1, 2]) +@triton.jit(do_not_specialize=["TOKENS_PER_EXPT_FOR_ANNOTATION"], + repr=_matmul_ogs_repr, launch_metadata=matmul_launch_metadata) +def _matmul_ogs( + Y, YPtr, stride_y_k, stride_y_z, stride_y_m, stride_y_n, + YExpectedScale, YActualScale, YChecksumScale, + stride_y_mx_z, stride_y_mx_m, stride_y_mx_n, + X, XPtr, stride_x_z, stride_x_m, stride_x_k, + XScale, + XMxScale, stride_x_mx_z, stride_x_mx_m, stride_x_mx_k, + W, WPtr, stride_w_e, stride_w_k, stride_w_n, W_TRANSPOSE: tl.constexpr, + WScale, + WMxScale, stride_w_mx_e, stride_w_mx_k, stride_w_mx_n, + B, stride_b_e, # Bias + NRows, M, N, K, # shapes + # expt data + Betas, Gammas, + GatherIndx, + ScatterSrcIndx, num_idxs, + WriteBackIndx, writeback_size, + ExptHist, ExptOffs, ExptOffsSum, ExptData, + # true grid size + batch_size, grid_m, grid_n, + # Out scale + out_alpha, + # fused activation function + ACTIVATION_FN: tl.constexpr, activation_fn_args, ACTIVATION_REDUCTION_N: tl.constexpr, + # epilogue transform + EPILOGUE_FN: tl.constexpr, epilogue_fn_args, + # MoE config + N_EXPTS_TOT: tl.constexpr, N_EXPTS_ACT: tl.constexpr, + # precision config + MAX_NUM_IMPRECISE_ACC: tl.constexpr, ALLOW_TF32: tl.constexpr, + FLEXPOINT_SATURATE_INF: tl.constexpr, + PER_BATCH_SCALE: tl.constexpr, + # optimization config + BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, BLOCK_K: tl.constexpr, + GROUP_M: tl.constexpr, XCD_SWIZZLE: tl.constexpr, + # One of ["HOPPER", "BLACKWELL", None] + SWIZZLE_MX_VALUE: tl.constexpr, + # One of ["HOPPER", "BLACKWELL", None] + SWIZZLE_MX_SCALE: tl.constexpr, + EPILOGUE_SUBTILE: tl.constexpr, + EVEN_K: tl.constexpr, SPLIT_K: tl.constexpr, + W_CACHE_MODIFIER: tl.constexpr, + NUM_SMS: tl.constexpr, + X_TMA_MODE: tl.constexpr, + Y_TMA_MODE: tl.constexpr, + TOKENS_PER_EXPT_FOR_ANNOTATION=None, + UPCAST_INDICES: tl.constexpr = False, + SWAP_XW: tl.constexpr = False, + IS_EPILOGUE_QUANT_MXFP8: tl.constexpr = False): + + tl.assume(stride_y_k >= 0) + tl.assume(stride_y_z >= 0) + tl.assume(stride_y_m >= 0) + tl.assume(stride_y_n >= 0) + tl.assume(stride_x_z >= 0) + tl.assume(stride_x_m >= 0) + tl.assume(stride_x_k >= 0) + tl.assume(stride_w_e >= 0) + tl.assume(stride_w_k >= 0) + tl.assume(stride_w_n >= 0) + if stride_w_mx_e is not None: + tl.assume(stride_w_mx_e >= 0) + if stride_w_mx_k is not None: + tl.assume(stride_w_mx_k >= 0) + if stride_w_mx_n is not None: + tl.assume(stride_w_mx_n >= 0) + if B is not None: + tl.assume(stride_b_e >= 0) + tl.assume(batch_size >= 0) + tl.assume(grid_m >= 0) + tl.assume(grid_n >= 0) + + is_w_microscaled: tl.constexpr = WMxScale is not None + MX_PACK_DIVISOR: tl.constexpr = MXFP_BLOCK_SIZE + if is_w_microscaled: + w_type: tl.constexpr = W.dtype.element_ty + is_mxfp4: tl.constexpr = w_type == tl.uint8 + tl.static_assert(w_type == tl.uint8 or (w_type == tl.float8e4nv or w_type == tl.float8e5), + "mx_weight_ptr must be uint8 or fp8") + tl.static_assert(WMxScale.dtype.element_ty == tl.uint8, "mx_scale_ptr must be uint8") + tl.static_assert(BLOCK_K % MX_PACK_DIVISOR == 0, "BLOCK_K must be a multiple of MX_PACK_DIVISOR") + tl.static_assert(SWIZZLE_MX_VALUE == "HOPPER_VALUE" or SWIZZLE_MX_VALUE is None, "Only Hopper swizzling is supported for values") + else: + tl.static_assert(SWIZZLE_MX_VALUE is None) + tl.static_assert(SWIZZLE_MX_SCALE is None) + is_x_microscaled: tl.constexpr = XMxScale is not None + if is_x_microscaled: + x_type: tl.constexpr = X.dtype.element_ty + tl.static_assert(is_w_microscaled) + tl.static_assert(x_type == tl.float8e4nv, "mx_act_ptr must be float8e4nv") + tl.static_assert(XMxScale.dtype.element_ty == tl.uint8, "mx_scale_ptr must be uint8") + tl.static_assert(BLOCK_K % MX_PACK_DIVISOR == 0, "BLOCK_K must be a multiple of MX_PACK_DIVISOR") + is_out_microscaled: tl.constexpr = stride_y_mx_z is not None + + OUT_BLOCK_N: tl.constexpr = BLOCK_N // ACTIVATION_REDUCTION_N + yN = N // ACTIVATION_REDUCTION_N + + pid = tl.program_id(0) + if ExptOffsSum is not None and XCD_SWIZZLE > 1: + # Determine how much padding there is on the expert data. This allows us to + # know the true grid size and avoid processing padding tiles. + padding_m = grid_m - tl.load(ExptOffsSum) + else: + padding_m: tl.constexpr = 0 + + HAS_FUSED_SCATTER: tl.constexpr = WriteBackIndx is not None + index_type: tl.constexpr = tl.int64 if UPCAST_INDICES else tl.int32 + + unpadded_m = grid_m - padding_m + tl.assume(unpadded_m >= 0) + total_actual_tiles = batch_size * unpadded_m * grid_n * SPLIT_K + if padding_m > 0 and pid >= total_actual_tiles: + tl.device_assert(batch_size == 0) + pid_mn = pid - total_actual_tiles + if pid_mn < padding_m * grid_n: + pid_m, pid_n = swizzle2d(pid_mn, padding_m, grid_n, GROUP_M) + + # set masked out rows to 0 + if HAS_FUSED_SCATTER and N_EXPTS_ACT == 1: + _zero_masked_rows(pid_m, pid_n, Y, stride_y_m, stride_y_n, yN, ScatterSrcIndx, num_idxs, BLOCK_M, OUT_BLOCK_N) + return + + # swizzle program ids + pid_emnk = pid + if XCD_SWIZZLE != 1: + pid_emnk = xcd_swizzle(pid_emnk, total_actual_tiles, XCD_SWIZZLE) + pid_e = pid_emnk // (unpadded_m * grid_n * SPLIT_K) + pid_mnk = pid_emnk % (unpadded_m * grid_n * SPLIT_K) + pid_k = pid_mnk % SPLIT_K + pid_mn = pid_mnk // SPLIT_K + pid_m, pid_n = swizzle2d(pid_mn, unpadded_m, grid_n, GROUP_M) + # For split-k, advance to the output k slice + if SPLIT_K > 1: + Y += pid_k.to( index_type) * stride_y_k + if is_out_microscaled: + YActualScale += pid_k.to(index_type) * stride_x_mx_k + # set masked out rows to 0 + if HAS_FUSED_SCATTER and N_EXPTS_ACT == 1: + _zero_masked_rows(pid_m, pid_n, Y, stride_y_m, stride_y_n, yN, ScatterSrcIndx, num_idxs, BLOCK_M, OUT_BLOCK_N) + # unpack expert data + if ExptData is None: + tl.static_assert(M is not None) + expt_id, start_z, start_m, block_id = pid_e, pid_e, 0, pid_m + else: + tl.static_assert(M is None) + expt_data = tl.load(ExptData + pid_m) + if expt_data == -1: + return + expt_id = expt_data & 0x0000FFFF + block_id = expt_data >> 16 + M = tl.load(ExptHist + expt_id) + start_m = tl.load(ExptOffs + expt_id) + start_z = 0 + expt_id, block_id = expt_id.to(index_type), block_id.to(index_type) + start_m, start_z = start_m.to(index_type), start_z.to(index_type) + pid_n, pid_k = pid_n.to(index_type), pid_k.to(index_type) + # A pointers + offs_x_m = BLOCK_M * block_id + tl.arange(0, BLOCK_M) + offs_x_m = tl.max_contiguous(tl.multiple_of(offs_x_m % M, BLOCK_M), BLOCK_M) + X += start_z * stride_x_z + if GatherIndx is None: + X += start_m * stride_x_m + else: + GatherIndx += start_m + # no needs to bounds-check here because `offs_x_m` wraps around M dim + offs_x_m = tl.load(GatherIndx + offs_x_m) // N_EXPTS_ACT + offs_k = BLOCK_K * pid_k + tl.arange(0, BLOCK_K) + XPtrs = X + offs_x_m.to(index_type)[:, None] * stride_x_m + offs_k.to(index_type)[None, :] * stride_x_k + + # TODO: refactor if/else when triton front end improves + if is_w_microscaled: + if SWIZZLE_MX_VALUE == "HOPPER_VALUE": + tl.static_assert(is_mxfp4, "Only mxfp4 is supported for HOPPER swizzling") + tl.static_assert(not is_x_microscaled) + # We have pack 2 fp4 values in a byte but we divide the dimension by 2 + # when swizzling + W_K_DIVISOR: tl.constexpr = 1 + W_K_MULTIPLIER: tl.constexpr = 2 + W_N_DIVISOR: tl.constexpr = 4 + else: + # We have pack 2 fp4 values in a byte + W_K_DIVISOR: tl.constexpr = 2 if is_mxfp4 else 1 + W_K_MULTIPLIER: tl.constexpr = 1 + W_N_DIVISOR: tl.constexpr = 1 + + if W_TRANSPOSE: + # When weight is transposed, 2 fp4 values are packed per Byte along + # the contiguous dimension, K. + PACKED_BLOCK_K_W: tl.constexpr = (BLOCK_K // W_K_DIVISOR) * W_K_MULTIPLIER + PACKED_BLOCK_N_W: tl.constexpr = BLOCK_N // W_N_DIVISOR + else: + # When weight is not transposed, fp4 values are *not* packed along + # the contiguous dimension, N. + PACKED_BLOCK_K_W: tl.constexpr = BLOCK_K + PACKED_BLOCK_N_W: tl.constexpr = BLOCK_N // W_K_DIVISOR + MX_SCALE_BLOCK_K: tl.constexpr = BLOCK_K // MX_PACK_DIVISOR + + WMxScale += expt_id * stride_w_mx_e + + if SWIZZLE_MX_SCALE == "BLACKWELL_SCALE": + # TODO: support non W_TRANSPOSE with blackwell swizzling + tl.static_assert(W_TRANSPOSE) + tl.static_assert(BLOCK_N % 128 == 0) + tl.static_assert(MX_SCALE_BLOCK_K % 4 == 0) + PACKED_MX_BLOCK: tl.constexpr = (MX_SCALE_BLOCK_K // 4) * 32 * 4 * 4 + SCALE_BLOCK_N: tl.constexpr = BLOCK_N // 128 + stride_scale_k: tl.constexpr = 1 + elif SWIZZLE_MX_SCALE == "HOPPER_SCALE": + # TODO: support non W_TRANSPOSE with Hopper swizzling + tl.static_assert(W_TRANSPOSE) + n_warps: tl.constexpr = tl.extra.cuda.num_warps() + tl.static_assert(BLOCK_N % (2 * n_warps * 2 * 8) == 0) + tl.static_assert(MX_SCALE_BLOCK_K % 2 == 0) + PACKED_MX_BLOCK: tl.constexpr = MX_SCALE_BLOCK_K * 32 + SCALE_BLOCK_N: tl.constexpr = BLOCK_N // 32 + stride_scale_k = stride_w_mx_k + elif SWIZZLE_MX_SCALE == "CDNA4_SCALE": + tl.static_assert(stride_w_mx_k is not None) + tl.static_assert(stride_w_mx_n is not None) + NON_K_PRESHUFFLE_BLOCK_SIZE: tl.constexpr = 32 + PACKED_MX_BLOCK: tl.constexpr = MX_SCALE_BLOCK_K * NON_K_PRESHUFFLE_BLOCK_SIZE + SCALE_BLOCK_N: tl.constexpr = BLOCK_N // NON_K_PRESHUFFLE_BLOCK_SIZE + stride_scale_k = stride_w_mx_k + else: + PACKED_MX_BLOCK: tl.constexpr = MX_SCALE_BLOCK_K + SCALE_BLOCK_N: tl.constexpr = BLOCK_N + stride_scale_k = stride_w_mx_k + offs_n_scale = (pid_n * SCALE_BLOCK_N + tl.arange(0, SCALE_BLOCK_N)) % N + offs_n_scale = tl.max_contiguous(tl.multiple_of(offs_n_scale, SCALE_BLOCK_N), SCALE_BLOCK_N) + # K dimension must be the last dimension for the scales + offs_k_scale = PACKED_MX_BLOCK * pid_k + tl.arange(0, PACKED_MX_BLOCK) + WMxScalePtrs = WMxScale + offs_k_scale.to(index_type)[None, :] * stride_scale_k + offs_n_scale.to(index_type)[:, None] * stride_w_mx_n + else: + WMxScalePtrs = None + offs_k_scale = None + W_K_DIVISOR: tl.constexpr = 1 + W_K_MULTIPLIER: tl.constexpr = 1 + W_N_DIVISOR: tl.constexpr = 1 + PACKED_BLOCK_K_W: tl.constexpr = BLOCK_K + PACKED_BLOCK_N_W: tl.constexpr = BLOCK_N + + # B pointers + offs_w_n = pid_n * PACKED_BLOCK_N_W + tl.arange(0, PACKED_BLOCK_N_W) + offs_w_n = tl.max_contiguous(tl.multiple_of(offs_w_n % (N // W_N_DIVISOR), PACKED_BLOCK_N_W), PACKED_BLOCK_N_W) + + if is_x_microscaled: + XMxScale += start_z.to(index_type) * stride_x_mx_z + if GatherIndx is None: + XMxScale += start_m * stride_x_mx_m + offs_x_k_scale = MX_SCALE_BLOCK_K * pid_k + tl.arange(0, MX_SCALE_BLOCK_K) + XMxScalePtrs = XMxScale + offs_x_m.to(index_type)[:, None] * stride_x_mx_m + offs_x_k_scale.to(index_type)[None, :] * stride_x_mx_k + else: + XMxScalePtrs = None + + offs_w_k = PACKED_BLOCK_K_W * pid_k + tl.arange(0, PACKED_BLOCK_K_W) + W += expt_id * stride_w_e + WPtrs = W + (offs_w_k.to(index_type)[:, None] * stride_w_k + offs_w_n.to(index_type)[None, :] * stride_w_n) + # compute output + acc = tl.zeros((BLOCK_M, BLOCK_N), dtype=tl.float32) + for k in range(K, BLOCK_K * pid_k, -(BLOCK_K * SPLIT_K)): + if EVEN_K: + mask_k = tl.full([BLOCK_K], True, dtype=tl.int1) + mask_k_w = tl.full([PACKED_BLOCK_K_W], True, dtype=tl.int1) + if is_w_microscaled and SWIZZLE_MX_SCALE is None: + mask_k_scale = tl.full([PACKED_MX_BLOCK], True, dtype=tl.int1) + if is_x_microscaled: + mask_x_k_scale = tl.full([MX_SCALE_BLOCK_K], True, dtype=tl.int1) + else: + mask_k = offs_k < k + mask_k_w = offs_w_k < ((k // (W_K_DIVISOR if W_TRANSPOSE else 1)) * W_K_MULTIPLIER) + if is_w_microscaled and SWIZZLE_MX_SCALE is None: + mask_k_scale = offs_k_scale * MX_PACK_DIVISOR < k + if is_x_microscaled: + mask_x_k_scale = offs_x_k_scale * MX_PACK_DIVISOR < k + + x = tl.load(XPtrs, mask=mask_k[None, :], other=0.0) + w = tl.load(WPtrs, mask=mask_k_w[:, None], other=0.0, cache_modifier=W_CACHE_MODIFIER) + if is_w_microscaled: + x_format: tl.constexpr = get_scaled_dot_format_string(x.dtype) + w_format: tl.constexpr = get_scaled_dot_format_string(w.dtype) + + if is_x_microscaled: + x_scales = tl.load(XMxScalePtrs, mask=mask_x_k_scale[None, :]) + elif x_format == "fp16" or x_format == "bf16": + x_scales: tl.constexpr = None + else: + # Scale of 1 in E8M0 format + x_scales = tl.full((BLOCK_M, MX_SCALE_BLOCK_K), 127, dtype=tl.uint8) + + if SWIZZLE_MX_SCALE == "BLACKWELL_SCALE": + w_scales = unswizzle_mx_scale_bw(tl.load(WMxScalePtrs)) + elif SWIZZLE_MX_SCALE == "HOPPER_SCALE": + # Handshake with the swizzling code + num_warps: tl.constexpr = tl.extra.cuda.num_warps() + w_scales = unswizzle_mxfp4_scale_hopper(tl.load(WMxScalePtrs), mx_axis=1, num_warps=num_warps) + elif SWIZZLE_MX_SCALE == "CDNA4_SCALE": + w_scales = unswizzle_mx_scale_cdna4(tl.load(WMxScalePtrs), BLOCK_N, MX_SCALE_BLOCK_K) + else: + w_scales = tl.load(WMxScalePtrs, mask=mask_k_scale[None, :]) + + if SWIZZLE_MX_VALUE == "HOPPER_VALUE": + # Handshake with the swizzling code + tl.static_assert(x_format == "bf16") + tl.static_assert(w_format == "e2m1") + w = mxfp4_to_bf16_triton(w.trans(), w_scales, 1) + tl.static_assert(w.dtype == tl.bfloat16) + acc = acc.trans() + x = x.trans() + # w = w.trans() + acc = tl.dot(w, x, acc, max_num_imprecise_acc=MAX_NUM_IMPRECISE_ACC, allow_tf32=ALLOW_TF32) + acc = acc.trans() + else: + rhs_k_pack: tl.constexpr = W_TRANSPOSE or not is_w_microscaled or W_K_DIVISOR != 2 + acc = tl.dot_scaled(x, x_scales, x_format, w, w_scales, w_format, acc=acc, fast_math=True, rhs_k_pack=rhs_k_pack) + if SWIZZLE_MX_SCALE == "BLACKWELL_SCALE": + WMxScalePtrs += (MX_SCALE_BLOCK_K // 4 * SPLIT_K) * stride_w_mx_k + else: + WMxScalePtrs += (PACKED_MX_BLOCK * SPLIT_K) * stride_w_mx_k + if is_x_microscaled: + XMxScalePtrs += (MX_SCALE_BLOCK_K * SPLIT_K) * stride_x_mx_k + else: + acc = tl.dot(x, w, acc, max_num_imprecise_acc=MAX_NUM_IMPRECISE_ACC, allow_tf32=ALLOW_TF32) + XPtrs += (BLOCK_K * SPLIT_K) * stride_x_k + WPtrs += (PACKED_BLOCK_K_W * SPLIT_K) * stride_w_k + # bias + scale + offs_m = BLOCK_M * block_id + tl.arange(0, BLOCK_M) + offs_y_n = BLOCK_N * pid_n + tl.arange(0, BLOCK_N) + mask_m = offs_m < M + mask_n = offs_y_n < N + if B is not None: + BPtrs = B + expt_id * stride_b_e + offs_y_n + if pid_k == 0: + bias = tl.load(BPtrs, mask=mask_n, other=0) + else: + bias = tl.full([BLOCK_N], 0, dtype=tl.float32) + else: + bias = tl.full([BLOCK_N], 0, dtype=tl.float32) + if Betas is not None: + betas = tl.load(Betas + start_m + offs_m, mask=mask_m, other=0.0) + else: + betas = tl.full([BLOCK_M], 1, dtype=tl.float32) + if Gammas is not None: + gammas = tl.load(Gammas + start_m + offs_m, mask=mask_m, other=0.0) + else: + gammas = tl.full([BLOCK_M], 1, dtype=tl.float32) + # flexpoint + x_scale = load_scale(XScale) + if PER_BATCH_SCALE: + w_scale = load_scale(WScale + expt_id) + else: + w_scale = load_scale(WScale) + acc *= x_scale * w_scale + acc = acc + bias[None, :] * betas[:, None] + if out_alpha is not None: + acc *= out_alpha + if ACTIVATION_FN is not None: + out = ACTIVATION_FN(acc, *activation_fn_args) + tl.static_assert(out.shape[1] == OUT_BLOCK_N, f"Activation fn out.shape[1] ({out.shape[1]}) doesn't match computed OUT_BLOCK_N ({OUT_BLOCK_N})") + offs_y_n = OUT_BLOCK_N * pid_n + tl.arange(0, OUT_BLOCK_N) + mask_n = offs_y_n < yN + else: + tl.static_assert(ACTIVATION_REDUCTION_N == 1, "Activation reduction must be 1 if no activation fn is provided") + out = acc + out *= gammas[:, None] + # write-back + Y += start_z.to(index_type) * stride_y_z + if WriteBackIndx is not None: + WriteBackIndx += start_m + dst_idx = tl.load(WriteBackIndx + offs_m, mask=start_m + offs_m < writeback_size, other=-1) + mask_m = mask_m & (dst_idx != -1) + offs_y_m = dst_idx + else: + Y += start_m * stride_y_m + offs_y_m = offs_m + + YPtrs = Y + offs_y_m.to(index_type)[:, None] * stride_y_m + offs_y_n.to(index_type)[None, :] * stride_y_n + mask = mask_m[:, None] & mask_n[None, :] + if is_out_microscaled: + MX_SCALE_BLOCK_N: tl.constexpr = BLOCK_N // MXFP_BLOCK_SIZE + N_MX_BLOCK: tl.constexpr = tl.cdiv(N, MXFP_BLOCK_SIZE) + tl.static_assert(EPILOGUE_FN is not None) + out, out_scale = EPILOGUE_FN(out, mask, *epilogue_fn_args) + tl.static_assert(BLOCK_N % MX_SCALE_BLOCK_N == 0, "") + offs_y_n_scale = MX_SCALE_BLOCK_N * pid_n + tl.arange(0, MX_SCALE_BLOCK_N) + mask_n_scale = offs_y_n_scale < N_MX_BLOCK + YActualScale += start_z.to(index_type) * stride_y_mx_z + if WriteBackIndx is None: + YActualScale += start_m * stride_y_mx_m + YActualScalePtrs = YActualScale + offs_y_m.to(index_type)[:, None] * stride_y_mx_m + offs_y_n_scale.to(index_type)[None, :] * stride_y_mx_n + else: + YActualScalePtrs = YActualScale + (offs_y_m - NRows).to(index_type)[:, None] * stride_y_mx_m + offs_y_n_scale.to(index_type)[None, :] * stride_y_mx_n + tl.store(YActualScalePtrs, out_scale, mask=mask_m[:, None] & mask_n_scale[None, :]) + else: + out = float_to_flex(out, YExpectedScale, YActualScale, YChecksumScale, mask, Y, FLEXPOINT_SATURATE_INF) + if EPILOGUE_FN is not None and not IS_EPILOGUE_QUANT_MXFP8: + out = EPILOGUE_FN(out, *epilogue_fn_args, target_dtype=YPtrs.dtype.element_ty) + tl.store(YPtrs, out, mask=mask) diff --git a/triton_kernels/matmul_ogs_details/_p_matmul_ogs.py b/triton_kernels/matmul_ogs_details/_p_matmul_ogs.py new file mode 100644 index 000000000000..ac5ae147fc1a --- /dev/null +++ b/triton_kernels/matmul_ogs_details/_p_matmul_ogs.py @@ -0,0 +1,475 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/_p_matmul_ogs.py +# Triton is licensed under the MIT License. + +# isort: off +# fmt: off +import torch +import triton +import triton.language as tl +from triton.tools.ragged_tma import load_ragged, store_ragged +from triton_kernels import target_info +from triton_kernels.tensor_details.layout_details.blackwell_scale import unswizzle_mx_scale_bw +from triton_kernels.numerics_details.flexpoint import ( + float_to_flex, + load_scale, + nan_propagating_absmax_reduce, + compute_scale, +) +from triton_kernels.numerics_details.mxfp_details._downcast_to_mxfp import MXFP_BLOCK_SIZE +from ._common import make_matmul_repr, matmul_launch_metadata, swizzle2d, xcd_swizzle, get_scaled_dot_format_string + + +@triton.constexpr_function +def cuda_capability_geq(major, minor): + return target_info.cuda_capability_geq(major, minor) + +@triton.constexpr_function +def get_dtype(tensor_or_desc: tl.tensor | tl.tensor_descriptor) -> tl.dtype: + if isinstance(tensor_or_desc, tl.tensor): + return tensor_or_desc.dtype.element_ty + elif isinstance(tensor_or_desc, tl.tensor_descriptor): + return tensor_or_desc.dtype + else: + raise ValueError(f"Invalid type: {type(tensor_or_desc)}") + +@triton.jit +def _load_tile_attrs( + tile_id, num_tiles, grid_m, grid_n, padding_m, + M, ExptData, ExptHist, ExptOffs, + BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, SPLIT_K: tl.constexpr, + GROUP_M: tl.constexpr, XCD_SWIZZLE: tl.constexpr): + # unpack and swizzle program ids + pid_emnk = tile_id + if XCD_SWIZZLE != 1: + pid_emnk = xcd_swizzle(pid_emnk, num_tiles // SPLIT_K, XCD_SWIZZLE) + pid_e = pid_emnk // ((grid_m - padding_m) * grid_n * SPLIT_K) + pid_mnk = pid_emnk % ((grid_m - padding_m) * grid_n * SPLIT_K) + if SPLIT_K > 1: + pid_k = pid_mnk % SPLIT_K + pid_mn = pid_mnk // SPLIT_K + else: + pid_k: tl.constexpr = 0 + pid_mn = pid_mnk + pid_m, pid_n = swizzle2d(pid_mn, (grid_m - padding_m), grid_n, GROUP_M) + + # unpack expert data + if ExptData is None: + tl.static_assert(M is not None) + expt_id, start_z, start_m, block_id, eM = pid_e, pid_e, 0, pid_m, -1 + else: + tl.static_assert(M is None) + expt_data = tl.load(ExptData + pid_m) + expt_id = expt_data & 0x0000FFFF + block_id = expt_data >> 16 + eM = tl.load(ExptHist + expt_id) + start_m = tl.load(ExptOffs + expt_id) + start_z = 0 + + off_m = BLOCK_M * block_id + off_n = BLOCK_N * pid_n + + return expt_id, start_z, start_m, eM, off_m, off_n, pid_k + +@triton.jit +def _load_writeback_idx_and_mask(WriteBackIndx, writeback_size, offs, mask): + mask = mask & (offs < writeback_size) + offs = tl.load(WriteBackIndx + offs, mask=mask, other=-1) + mask = offs != -1 + return (offs, mask) + + +_matmul_ogs_repr = make_matmul_repr("_p_matmul_ogs", [0, 1, 2]) +@triton.jit(do_not_specialize=["TOKENS_PER_EXPT_FOR_ANNOTATION"], + repr=_matmul_ogs_repr, launch_metadata=matmul_launch_metadata) +def _p_matmul_ogs( + Y, YPtr, stride_y_k, stride_y_z, stride_y_m, stride_y_n, + YExpectedScale, YActualScale, YChecksumScale, + stride_y_mx_z, stride_y_mx_m, stride_y_mx_n, + X, XPtr, stride_x_z, stride_x_m, stride_x_k, + XScale, + XMxScale, stride_x_mx_z, stride_x_mx_m, stride_x_mx_k, + W, WPtr, stride_w_e, stride_w_k, stride_w_n, W_TRANSPOSE: tl.constexpr, + WScale, + MxScale, stride_mx_e, stride_mx_k, stride_mx_n, + B, stride_b_e, # Bias + NRows, M, N, K, # shapes + # expt data + Betas, Gammas, + GatherIndx, + ScatterSrcIndx, num_idxs, + WriteBackIndx, writeback_size, + ExptHist, ExptOffs, ExptOffsSum, ExptData, + # true grid size + batch_size, grid_m, grid_n, + # Out scale + out_alpha, + # fused activation function + ACTIVATION_FN: tl.constexpr, activation_fn_args, ACTIVATION_REDUCTION_N: tl.constexpr, + # epilogue transform + EPILOGUE_FN: tl.constexpr, epilogue_fn_args, + # MoE config + N_EXPTS_TOT: tl.constexpr, N_EXPTS_ACT: tl.constexpr, + # precision config + MAX_NUM_IMPRECISE_ACC: tl.constexpr, ALLOW_TF32: tl.constexpr, + FLEXPOINT_SATURATE_INF: tl.constexpr, + PER_BATCH_SCALE: tl.constexpr, + # optimization config + BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, BLOCK_K: tl.constexpr, + GROUP_M: tl.constexpr, XCD_SWIZZLE: tl.constexpr, + # NYI: Must be None + SWIZZLE_MX_VALUE: tl.constexpr, + # One of ["BLACKWELL", None] + SWIZZLE_MX_SCALE: tl.constexpr, + EPILOGUE_SUBTILE: tl.constexpr, + EVEN_K: tl.constexpr, SPLIT_K: tl.constexpr, + W_CACHE_MODIFIER: tl.constexpr, + NUM_SMS: tl.constexpr, + X_TMA_MODE: tl.constexpr, + Y_TMA_MODE: tl.constexpr, + TOKENS_PER_EXPT_FOR_ANNOTATION=None, + UPCAST_INDICES:tl.constexpr=False, + SWAP_XW: tl.constexpr = False, + IS_EPILOGUE_QUANT_MXFP8: tl.constexpr = False): + # tl.static_assert(SWIZZLE_MX_VALUE is None, "NYI. Value swizzling") + + # why is this faster than using host-side tensor descriptor?! + if Y_TMA_MODE is not None: + Y = tl.make_tensor_descriptor(YPtr, Y.shape, Y.strides[:-1] + (1,), Y.block_shape) + + is_microscaled_format: tl.constexpr = MxScale is not None + tl.static_assert(not is_microscaled_format or W_TRANSPOSE, "NYI. Non-transposed mxfp4 weights") + MX_PACK_DIVISOR: tl.constexpr = MXFP_BLOCK_SIZE + if is_microscaled_format: + w_type: tl.constexpr = get_dtype(W) + tl.static_assert(w_type == tl.uint8 or (w_type == tl.float8e4nv or w_type == tl.float8e5), + "mx_weight_ptr must be uint8") + tl.static_assert(get_dtype(MxScale) == tl.uint8, "mx_scale_ptr must be uint8") + tl.static_assert(BLOCK_K % MX_PACK_DIVISOR == 0, "BLOCK_K must be a multiple of MX_PACK_DIVISOR") + tl.static_assert(SWIZZLE_MX_SCALE == "BLACKWELL_SCALE" or SWIZZLE_MX_SCALE is None, "Only Blackwell swizzling is supported for scales") + + # We have pack 2 fp4 values in a byte + W_PACK_DIVISOR: tl.constexpr = 2 if w_type == tl.uint8 else 1 + PACKED_BLOCK_K_W: tl.constexpr = BLOCK_K // W_PACK_DIVISOR + MX_SCALE_BLOCK_K: tl.constexpr = BLOCK_K // MX_PACK_DIVISOR + else: + W_PACK_DIVISOR: tl.constexpr = 1 + MX_SCALE_BLOCK_K: tl.constexpr = 1 + PACKED_BLOCK_K_W: tl.constexpr = BLOCK_K + tl.static_assert(SWIZZLE_MX_SCALE is None) + + if ExptOffsSum is not None: + # Determine how much padding there is on the expert data. This allows us to + # know the true grid size and avoid processing padding tiles. + padding_m = grid_m - tl.load(ExptOffsSum) + else: + padding_m: tl.constexpr = 0 + + index_type: tl.constexpr = tl.int64 + + USE_FLEXPOINT_SCALE: tl.constexpr = YActualScale is not None or YChecksumScale is not None + HAS_SCATTER: tl.constexpr = WriteBackIndx is not None + HAS_GATHER: tl.constexpr = GatherIndx is not None + USE_GATHER_TMA: tl.constexpr = HAS_GATHER and X_TMA_MODE == "dense" + USE_SCATTER_TMA: tl.constexpr = HAS_SCATTER and Y_TMA_MODE == "dense" + + if EPILOGUE_SUBTILE is None: + SUBTILE_FACTOR: tl.constexpr = 1 + else: + SUBTILE_FACTOR: tl.constexpr = EPILOGUE_SUBTILE + EPILOGUE_BLOCK_N: tl.constexpr = BLOCK_N // SUBTILE_FACTOR + OUT_BLOCK_N: tl.constexpr = EPILOGUE_BLOCK_N // ACTIVATION_REDUCTION_N + yN = N // ACTIVATION_REDUCTION_N + + # set masked out rows to 0 + if HAS_SCATTER and N_EXPTS_ACT == 1: + # Iterate with reversed pids so that later pids will get more tiles if the number of + # tiles isn't evenly divisible by the number of SMs. + # The main loop after this iterates in the forward direction such that earlier + # pids get more tiles if the number of tiles isn't evenly divisible. + # This helps balance the work across the SMs. + for pid_mnk in range(NUM_SMS - tl.program_id(0) - 1, batch_size * grid_m * grid_n * SPLIT_K, NUM_SMS): + pid_k = pid_mnk % SPLIT_K + pid_mn = pid_mnk // SPLIT_K + pid_m, pid_n = swizzle2d(pid_mn, grid_m, grid_n, GROUP_M) + + z = tl.zeros([BLOCK_M, BLOCK_N // ACTIVATION_REDUCTION_N], dtype=tl.float32) + offs_m = z.shape[0] * pid_m + tl.arange(0, z.shape[0]) + offs_n = z.shape[1] * pid_n + tl.arange(0, z.shape[1]) + src_idx = tl.load(ScatterSrcIndx + offs_m, mask=offs_m < num_idxs, other=0) + YPtrs = YPtr + offs_m.to(index_type)[:, None] * stride_y_m + offs_n[None, :] * stride_y_n + mask_n = offs_n < yN + mask = (src_idx == -1)[:, None] & mask_n[None, :] + tl.store(YPtrs + pid_k * stride_y_k, z, mask=mask) + + + k_tiles = tl.cdiv(K, BLOCK_K * SPLIT_K) + num_tiles = batch_size * (grid_m - padding_m) * grid_n * SPLIT_K + + # If true, do not share loop-carried variables between the prologue and the + # epilogue to enable better pipelining with mmav5 + INDEPENDENT_EPILOGUE: tl.constexpr = cuda_capability_geq(10, 0) + + # start negative; will be incremented at the top of the loop + if INDEPENDENT_EPILOGUE: + tile_id1 = tl.program_id(0) - NUM_SMS + + # Keep track of local max for updating flexpoint scales. + THREADS_PER_BLOCK: tl.constexpr = tl.extra.cuda.num_threads() + local_absmax = tl.full([THREADS_PER_BLOCK], 0.0, tl.uint32) + + DISALLOW_ACC_MULTI_BUFFER: tl.constexpr = is_microscaled_format and BLOCK_M * BLOCK_N >= 128 * 256 + + for tile_id in tl.range(tl.program_id(0), num_tiles, NUM_SMS, flatten=True, disallow_acc_multi_buffer=DISALLOW_ACC_MULTI_BUFFER, warp_specialize=True): + expt_id, start_z, start_m, eM, off_m, off_n, pid_k = _load_tile_attrs( + tile_id, num_tiles, grid_m, grid_n, padding_m, + M, ExptData, ExptHist, ExptOffs, + BLOCK_M, BLOCK_N, SPLIT_K, + GROUP_M, XCD_SWIZZLE) + + # Base pointers and offsets. + if X_TMA_MODE is None: + XBase = X + start_z.to(index_type) * stride_x_z + offs_x_k = tl.arange(0, BLOCK_K)[None, :] * stride_x_k + if SPLIT_K > 1: + offs_x_k += pid_k.to(index_type) * BLOCK_K * stride_x_k + + if USE_GATHER_TMA: + offs_m = off_m + tl.arange(0, BLOCK_M) + mask_m = offs_m < (M if M is not None else eM) + if ExptData is None: + offs_x_m = tl.load(GatherIndx + start_m.to(index_type) + offs_m, mask=mask_m) + # Bump rows to account for the Z offset. + offs_x_m += start_z * (stride_x_z // stride_x_m) + offs_x_m = tl.where(mask_m, offs_x_m, -1) + else: + offs_x_m = tl.load(GatherIndx + start_m.to(index_type) + offs_m, + mask=mask_m, other=-N_EXPTS_ACT) // N_EXPTS_ACT + elif X_TMA_MODE is None: + tl.static_assert(HAS_GATHER) + offs_m = off_m + tl.arange(0, BLOCK_M) + if M is not None: + offs_m = tl.max_contiguous(tl.multiple_of(offs_m % M, BLOCK_M), BLOCK_M) + else: + offs_m = tl.max_contiguous(tl.multiple_of(offs_m % eM, BLOCK_M), BLOCK_M) + # no needs to bounds-check here because `offs_m` wraps around M dim + offs_m = tl.load(GatherIndx + start_m.to(index_type) + offs_m) // N_EXPTS_ACT + offs_x_m = offs_m.to(index_type)[:, None] * stride_x_m + + + acc = tl.zeros((BLOCK_N, BLOCK_M) if SWAP_XW else (BLOCK_M, BLOCK_N), dtype=tl.float32) + for ki in tl.range(k_tiles, disallow_acc_multi_buffer=DISALLOW_ACC_MULTI_BUFFER): + off_k = pid_k * BLOCK_K + ki * BLOCK_K * SPLIT_K + off_k_w = pid_k * PACKED_BLOCK_K_W + ki * PACKED_BLOCK_K_W * SPLIT_K + off_k_mx = pid_k * MX_SCALE_BLOCK_K + ki * MX_SCALE_BLOCK_K * SPLIT_K + + # --- load x --- + if USE_GATHER_TMA: + x = X.gather(offs_x_m, off_k) + elif X_TMA_MODE == "dense": + x = X.load([start_z, start_m + off_m, off_k]) + x = x.reshape(BLOCK_M, BLOCK_K) + elif X_TMA_MODE == "ragged": + x = load_ragged(X, start_m, eM, [start_z, off_m, off_k], ragged_dim=1) + x = x.reshape(BLOCK_M, BLOCK_K) + else: + tl.static_assert(X_TMA_MODE is None) + XPtrs = XBase + offs_x_m + offs_x_k + XBase += BLOCK_K * SPLIT_K * stride_x_k + mask_k = tl.arange(0, BLOCK_K) < K - off_k + if EVEN_K: + if SPLIT_K > 1: + x = tl.load(XPtrs, mask=mask_k[None, :], other=0.0) + else: + x = tl.load(XPtrs) + else: + x = tl.load(XPtrs, mask=mask_k[None, :], other=0.0) + + # --- load w --- + if W_TRANSPOSE: + w = tl.reshape(W.load([expt_id, off_n, off_k_w]), W.block_shape[1:]).T + else: + w = tl.reshape(W.load([expt_id, off_k_w, off_n]), W.block_shape[1:]) + + # --- load w_scale --- + if is_microscaled_format: + x_format: tl.constexpr = get_scaled_dot_format_string(x.dtype) + mx_format: tl.constexpr = get_scaled_dot_format_string(w.dtype) + if x_format == "fp16" or x_format == "bf16": + x_scales: tl.constexpr = None + else: + x_scales = tl.full((BLOCK_M, BLOCK_K // MX_PACK_DIVISOR), 127, dtype=tl.uint8) + if SWIZZLE_MX_SCALE == "BLACKWELL_SCALE": + flattened_expt_n_idx = expt_id * ((N + 127) // 128) + (off_n // 128) + w_scales = MxScale.load([0, flattened_expt_n_idx, pid_k * MX_SCALE_BLOCK_K // 4 + ki * (MX_SCALE_BLOCK_K // 4 * SPLIT_K), 0, 0]) + w_scales = w_scales.reshape((w_scales.shape[1], w_scales.shape[2] * w_scales.shape[-2] * w_scales.shape[-1])) + w_scales = unswizzle_mx_scale_bw(w_scales) + else: + w_scales = MxScale.load([expt_id, off_k_mx, off_n]) + w_scales = tl.reshape(w_scales, *w_scales.shape[1:]).T + + # --- update accumulator --- + if is_microscaled_format: + if SWAP_XW: + acc = tl.dot_scaled(w.T, w_scales, mx_format, x.T, x_scales, x_format, acc=acc, fast_math=True) + else: + acc = tl.dot_scaled(x, x_scales, x_format, w, w_scales, mx_format, acc=acc, fast_math=True) + else: + if SWAP_XW: + acc = tl.dot(w.T, x.T, acc, max_num_imprecise_acc=MAX_NUM_IMPRECISE_ACC, allow_tf32=ALLOW_TF32) + else: + acc = tl.dot(x, w, acc, max_num_imprecise_acc=MAX_NUM_IMPRECISE_ACC, allow_tf32=ALLOW_TF32) + + if INDEPENDENT_EPILOGUE: + tile_id1 += NUM_SMS + expt_id1, start_z1, start_m1, eM1, off_m1, off_n1, pid_k1 = _load_tile_attrs( + tile_id1, num_tiles, grid_m, grid_n, padding_m, + M, ExptData, ExptHist, ExptOffs, + BLOCK_M, BLOCK_N, SPLIT_K, + GROUP_M, XCD_SWIZZLE) + else: + tile_id1, expt_id1, start_z1, start_m1, eM1 = tile_id, expt_id, start_z, start_m, eM + off_m1, off_n1, pid_k1 = off_m, off_n, pid_k + + offs_m = off_m1 + tl.arange(0, BLOCK_M) + mask_m = offs_m < (M if M is not None else eM1) + if USE_SCATTER_TMA: + offs_y_m, mask_m = _load_writeback_idx_and_mask(WriteBackIndx, writeback_size, start_m1 + offs_m, mask_m) + MASK_ACC: tl.constexpr = USE_FLEXPOINT_SCALE + if SPLIT_K > 1: + # Compute the split k offset in number of rows, and add it to offs_y_m. + # This allows us to write to the correct slice in the output tensor while using + # a 2D TMA scatter. + tl.device_assert(stride_y_k // stride_y_m == tl.cdiv(stride_y_k, stride_y_m)) + split_k_row_offs = pid_k1 * (stride_y_k // stride_y_m) + offs_y_m = tl.where(mask_m, offs_y_m + split_k_row_offs, offs_y_m) + elif Y_TMA_MODE is None: + tl.static_assert(HAS_SCATTER) + offs_y_m, mask_m = _load_writeback_idx_and_mask(WriteBackIndx, writeback_size, start_m1 + offs_m, mask_m) + MASK_ACC: tl.constexpr = USE_FLEXPOINT_SCALE + else: + offs_y_m = start_m1 + offs_m + MASK_ACC = False if USE_GATHER_TMA else USE_FLEXPOINT_SCALE + + # bias + scale + offs_y_n = off_n1 + tl.arange(0, BLOCK_N) + mask_n = offs_y_n < N + if B is not None: + BPtrs = B + expt_id1 * stride_b_e + offs_y_n + if pid_k1 == 0: + bias = tl.load(BPtrs, mask=mask_n, other=0) + else: + bias = tl.full([BLOCK_N], 0, dtype=tl.float32) + else: + bias = tl.full([BLOCK_N], 0, dtype=tl.float32) + if Betas is not None: + betas = tl.load(Betas + start_m1 + offs_m, mask=mask_m, other=0.0) + else: + betas = tl.full([BLOCK_M], 1, dtype=tl.float32) + if Gammas is not None: + gammas = tl.load(Gammas + start_m1 + offs_m, mask=mask_m, other=0.0) + else: + gammas = tl.full([BLOCK_M], 1, dtype=tl.float32) + x_scale = load_scale(XScale) + if PER_BATCH_SCALE: + w_scale = load_scale(WScale + expt_id1) + else: + w_scale = load_scale(WScale) + + accs = (acc,) + biases = (bias,) + + if SUBTILE_FACTOR >= 2: + acc0, acc1 = acc.reshape(BLOCK_M, 2, BLOCK_N // 2).permute(0, 2, 1).split() + accs = (acc0, acc1) + bias0, bias1 = bias.reshape(2, BLOCK_N // 2).permute(1, 0).split() + biases = (bias0, bias1) + + if SUBTILE_FACTOR >= 4: + acc00, acc01 = acc0.reshape(BLOCK_M, 2, BLOCK_N // 4).permute(0, 2, 1).split() + acc10, acc11 = acc1.reshape(BLOCK_M, 2, BLOCK_N // 4).permute(0, 2, 1).split() + accs = (acc00, acc01, acc10, acc11) + bias00, bias01 = bias0.reshape(2, BLOCK_N // 4).permute(1, 0).split() + bias10, bias11 = bias1.reshape(2, BLOCK_N // 4).permute(1, 0).split() + biases = (bias00, bias01, bias10, bias11) + + tl.static_assert(EPILOGUE_BLOCK_N == BLOCK_N // SUBTILE_FACTOR) + tl.static_assert(len(accs) == SUBTILE_FACTOR) + + for a_i in tl.static_range(len(accs)): + acc_tile = accs[a_i] + acc_tile *= x_scale * w_scale + + if SWAP_XW: + acc_tile = acc_tile.T + + acc_tile = acc_tile + biases[a_i][None, :] * betas[:, None] + if out_alpha is not None: + acc_tile *= out_alpha + + if ACTIVATION_FN is not None: + out = ACTIVATION_FN(acc_tile, *activation_fn_args) + tl.static_assert(out.shape[1] == OUT_BLOCK_N, f"Activation fn out.shape[1] ({out.shape[1]}) doesn't match computed OUT_BLOCK_N ({OUT_BLOCK_N})") + else: + tl.static_assert(ACTIVATION_REDUCTION_N == 1, "Activation reduction must be 1 if no activation fn is provided") + out = acc_tile + + out *= gammas[:, None] + + if MASK_ACC: + out = tl.where(mask_m[:, None], out, 0.0) + # Flexpoint + out_view = tl.reshape(out, [out.numel // THREADS_PER_BLOCK, THREADS_PER_BLOCK], can_reorder=True) + local_absmax = tl.maximum(local_absmax, nan_propagating_absmax_reduce(out_view, axis=0)) + out = float_to_flex( + out, YExpectedScale, + None, # ActualScale: local absmax is tracked and updated after the loop + YChecksumScale, + None, # mask: out is manually masked to 0 + YPtr, FLEXPOINT_SATURATE_INF + ) + if EPILOGUE_FN is not None: + out = EPILOGUE_FN(out, *epilogue_fn_args, target_dtype=YPtr.dtype.element_ty, pid=len(accs)*tile_id1 + a_i) + + out_off_n = off_n1 // ACTIVATION_REDUCTION_N + a_i * OUT_BLOCK_N + out = out.to(YPtr.dtype.element_ty) + if USE_SCATTER_TMA: + # Convert -1 offsets to INT_MAX. We do this by clearing the leading bit. Note that + # there shouldn't be any other negative values. + offs_y_m = (offs_y_m.to(tl.uint32, bitcast=True) & 0x7FFFFFFF).to(tl.int32, bitcast=True) + Y.scatter(out, offs_y_m, out_off_n) + elif Y_TMA_MODE == "dense": + out = tl.reshape(out, [1] + out.shape) + off_kz = pid_k * batch_size + start_z1 + Y.store([off_kz, off_m1, out_off_n], out) + elif Y_TMA_MODE == "ragged": + out = tl.reshape(out, [1] + out.shape) + store_ragged(Y, start_m1, eM1, [pid_k, off_m1, out_off_n], out, ragged_dim=1) + else: + tl.static_assert(Y_TMA_MODE is None) + offs_y_n = out_off_n + tl.arange(0, OUT_BLOCK_N) + mask_n = offs_y_n < yN + + YPtrs = YPtr + pid_k1.to(index_type) * stride_y_k + start_z1.to(index_type) * stride_y_z + offs_y_m.to(index_type)[:, None] * stride_y_m + offs_y_n[None, :] * stride_y_n + mask = mask_m[:, None] & mask_n[None, :] + tl.store(YPtrs, out, mask=mask) + + + # Update the flexpoint scales + if YActualScale is not None: + tl.atomic_max(YActualScale, compute_scale(local_absmax.to(tl.float32, bitcast=True), YPtr), sem="relaxed") + + +_per_device_alloc_fns = {} +def get_per_device_per_stream_alloc_fn(device): + if device not in _per_device_alloc_fns: + _per_stream_tensors = {} + def alloc_fn(size: int, alignment: int, stream): + assert alignment == 128 + if stream not in _per_stream_tensors or _per_stream_tensors[stream].numel() < size: + _per_stream_tensors[stream] = torch.empty(size, device=device, dtype=torch.int8) + _per_stream_tensors[stream].__hibernate__ = {"type": "ignore"} + return _per_stream_tensors[stream] + + _per_device_alloc_fns[device] = alloc_fn + return _per_device_alloc_fns[device] diff --git a/triton_kernels/matmul_ogs_details/_reduce_grouped.py b/triton_kernels/matmul_ogs_details/_reduce_grouped.py new file mode 100644 index 000000000000..7fe29bd40ab4 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/_reduce_grouped.py @@ -0,0 +1,98 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/_reduce_grouped.py +# Triton is licensed under the MIT License. + +from triton_kernels.numerics_details.flexpoint import float_to_flex, load_scale +from triton_kernels.numerics_details.mxfp import quantize_mxfp8_fn +import triton +import triton.language as tl + + +@triton.jit +def _reduce_grouped(X, stride_xb: tl.uint64, stride_xm: tl.uint64, stride_xn, # + XScale, # input scalar flex scale + Out, stride_om: tl.uint64, stride_on, # output tensor + OutExpectedScale, OutActualScale, OutChecksumScale, # output scalar flex scales + InIndx, B, N, # + XMxScale, stride_mxb: tl.uint64, + stride_mxs: tl.uint64, # optional per-32-col output MXFP scales (uint8) + OutMxScale, stride_omxs: tl.uint64, # optional per-32-col output MXFP scales (uint8) + # fused activation function + ACTIVATION_FN: tl.constexpr, activation_fn_args, ACTIVATION_REDUCTION_N: tl.constexpr, + # epilogue transform + EPILOGUE_FN: tl.constexpr, epilogue_fn_args, + # + HAS_IN_MX_SCALE: tl.constexpr, HAS_OUT_MX_SCALE: tl.constexpr, FLEXPOINT_SATURATE_INF: tl.constexpr, + K: tl.constexpr, BLOCK_N: tl.constexpr): + pid_t = tl.program_id(0) + BLOCK_N_OUT: tl.constexpr = BLOCK_N // ACTIVATION_REDUCTION_N + # persistent along N: single program on N, iterate tiles of size BLOCK_N + start = pid_t * K + # load indices into a tuple + if InIndx is None: + indxs = (pid_t, ) + else: + indxs = () + for i in tl.static_range(0, K): + indxs = indxs + (tl.load(InIndx + start + i), ) + # determine first valid topk row + fi = indxs[(K - 1)] + for i in tl.static_range(K - 2, -1, -1): + fi = tl.where(indxs[i] != -1, indxs[i], fi) + # record overwritten row index (may be -1 if none) + XPtrs = X + tl.arange(0, BLOCK_N) * stride_xn + OutPtrs = Out + tl.arange(0, BLOCK_N_OUT) * stride_on + if HAS_IN_MX_SCALE: + XScalePtrs = XMxScale + tl.arange(0, BLOCK_N // 32) * stride_xn + if HAS_OUT_MX_SCALE: + OutScalePtrs = OutMxScale + tl.arange(0, BLOCK_N_OUT // 32) * stride_on + x_scale = load_scale(XScale) + for n_curr in tl.range(0, N, BLOCK_N, num_stages=4): + acc = tl.zeros([BLOCK_N_OUT], dtype=tl.float32) + x_n_mask = tl.arange(0, BLOCK_N) < N - n_curr + x_n_mask_scale = tl.arange(0, BLOCK_N // 32) < tl.cdiv(N - n_curr, 32) + # accumulate contributions for this tile + for i in tl.static_range(0, K): + curr = tl.zeros([BLOCK_N], dtype=tl.float32) + # iterate over split_k partial values + for b in tl.range(0, B): + is_valid = indxs[i] != -1 + x_row_ptr = XPtrs + indxs[i] * stride_xm + b * stride_xb + vals = tl.load(x_row_ptr, mask=x_n_mask & is_valid, other=0.0) + vals = vals.to(tl.float32) + if HAS_IN_MX_SCALE: + scale_row_ptr = XScalePtrs + indxs[i] * stride_mxs + b * stride_mxb + scale = tl.load(scale_row_ptr, mask=x_n_mask_scale & is_valid, other=0.) + scale = (scale.to(tl.uint32) << 23).to(tl.float32, bitcast=True) + vals = vals.reshape([BLOCK_N // 32, 32]) + vals = (scale[:, None] * vals).reshape([BLOCK_N]) + curr += vals + # apply nonlinearity to split-k output + if ACTIVATION_FN is not None: + curr = ACTIVATION_FN(curr[None, :], *activation_fn_args) + curr = tl.reshape(curr, [curr.shape[-1]]) + # update final accumulator + acc += curr + acc *= x_scale + # Compute per-32-col MXFP scales for this tile if requested + Nrem = (N - n_curr) // ACTIVATION_REDUCTION_N + out_n_mask = tl.arange(0, BLOCK_N_OUT) < Nrem + out_n_mask_scale = tl.arange(0, BLOCK_N_OUT // 32) < tl.cdiv(Nrem, 32) + if HAS_OUT_MX_SCALE: + acc, acc_scale = quantize_mxfp8_fn(acc[None, :], out_n_mask[None, :]) + acc = tl.reshape(acc, [acc.shape[-1]]) + acc_scale = tl.reshape(acc_scale, [acc_scale.shape[-1]]) + # Convert to flexpoint output if configured (scalar scales) + acc = float_to_flex(acc, OutExpectedScale, OutActualScale, OutChecksumScale, None, Out, FLEXPOINT_SATURATE_INF) + # write-back for this tile + out_ptr = OutPtrs + pid_t * stride_om + tl.store(out_ptr, acc, mask=out_n_mask) + if HAS_OUT_MX_SCALE: + out_scale_ptr = OutScalePtrs + pid_t * stride_omxs + tl.store(out_scale_ptr, acc_scale, mask=out_n_mask_scale) + XPtrs += BLOCK_N * stride_xn + OutPtrs += BLOCK_N_OUT * stride_on + if HAS_IN_MX_SCALE: + XScalePtrs += BLOCK_N // 32 * stride_xn + if HAS_OUT_MX_SCALE: + OutScalePtrs += BLOCK_N_OUT // 32 * stride_xn diff --git a/triton_kernels/matmul_ogs_details/opt_flags.py b/triton_kernels/matmul_ogs_details/opt_flags.py new file mode 100644 index 000000000000..3d870d6427f2 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/opt_flags.py @@ -0,0 +1,307 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/opt_flags.py +# Triton is licensed under the MIT License. + +# isort: off +# fmt: off +from dataclasses import dataclass +import triton +from triton_kernels.target_info import get_cdna_version +import torch +from .opt_flags_details import opt_flags_amd, opt_flags_nvidia + + +@dataclass +class OptFlags: + block_m: int + block_n: int + block_k: int + num_warps: int + num_stages: int + group_m: int + xcd_swizzle: int + w_cache_modifier: str + split_k: int + is_persistent: bool + fused_scatter: bool + idle_sms: int + epilogue_subtile: int | None + arch: str + target_kernel_kwargs: dict + + def __post_init__(self): + if self.fused_scatter and self.split_k != 1: + raise ValueError("Not supported") + + +def make_default_opt_flags_amd( + out_dtype, + lhs_dtype, + rhs_dtype, + precision_config, + m, + n, + k, + routing_data, + can_use_persistent_tma, + can_use_fused_scatter, + enforce_bitwise_invariance, + epilogue_effective_itemsize, + constraints, +): + constraints_supported = ["block_m", "block_n", "block_k", "split_k", "fused_scatter", "is_persistent", "epilogue_subtile"] + assert not any([c not in constraints_supported for c in constraints]), constraints.keys() + # tokens per expert + if routing_data is None: + tokens_per_expt = m + elif routing_data.expected_tokens_per_expt is None: + tokens_per_expt = max(1, m // routing_data.n_expts_tot) + else: + tokens_per_expt = routing_data.expected_tokens_per_expt + + is_cdna4 = get_cdna_version() == 4 + # block_m + if constraints.get("block_m", None): + block_m = constraints["block_m"] + elif enforce_bitwise_invariance: + block_m = 256 if is_cdna4 else 128 + elif tokens_per_expt >= 512 and n >= 2048: + block_m = 256 if is_cdna4 else 128 + elif is_cdna4 and m >= 512: + block_m = 128 + else: + block_m = max(32, min(triton.next_power_of_2(tokens_per_expt), 64)) + + if routing_data is not None: + grid_m = routing_data.n_blocks(m, block_m) + else: + grid_m = triton.cdiv(m, block_m) + # group_m: + group_m = 4 + # number of xcds + num_xcds = 8 + xcd_swizzle = num_xcds + # block_nk: + block_n, block_k = opt_flags_amd.compute_block_nk( + n, block_m, grid_m, num_xcds, lhs_dtype, rhs_dtype, precision_config + ) + # Replace block_k if provided in constraints. + # TODO: Does opt_flags_amd.compute_block_nk need to be refactored? + if constraints.get("block_k", None) is not None: + block_k = constraints["block_k"] + if constraints.get("block_n", None) is not None: + block_n = constraints["block_n"] + is_persistent = constraints.get("is_persistent", False) + # split_k: + if constraints.get("split_k", None) is not None: + split_k = constraints["split_k"] + elif is_persistent or enforce_bitwise_invariance: + split_k = 1 + else: + grid_size = grid_m * ((n + block_n - 1) // block_n) + n_cu = torch.cuda.get_device_properties(0).multi_processor_count + split_k = max(1, n_cu // grid_size) + # w_cache_modifier: + w_cache_modifier = ".cg" if block_m <= 32 else None + # num_warps, num_stages + num_warps = 2 if (m is not None and m <= 16) else 8 + num_stages = 2 + # AMD-specific + target_kernel_kwargs = {"waves_per_eu": 0, "matrix_instr_nonkdim": 16, "kpack": 1} + epilogue_subtile = constraints.get('epilogue_subtile', None) + if epilogue_subtile is None: + epilogue_subtile = 1 + ret = OptFlags( + block_m=block_m, + block_n=block_n, + block_k=block_k, + num_warps=num_warps, + num_stages=num_stages, + group_m=group_m, + xcd_swizzle=xcd_swizzle, + w_cache_modifier=w_cache_modifier, + split_k=split_k, + is_persistent=is_persistent, + fused_scatter=constraints.get('fused_scatter', False), + idle_sms=0, + epilogue_subtile=epilogue_subtile, + arch=None, + target_kernel_kwargs=target_kernel_kwargs, + ) + # check constraints + assert all(getattr(ret, ck) == cv for ck, cv in constraints.items() if cv is not None), f"{ret} != {constraints}" + return ret + +def make_default_opt_flags_nvidia( + out_dtype, + lhs_dtype, + rhs_dtype, + precision_config, + m, + n, + k, + routing_data, + can_use_persistent_tma, + can_use_fused_scatter, + enforce_bitwise_invariance, + epilogue_effective_itemsize, + constraints, +): + constraints_supported = ["block_m", "block_k", "split_k", "is_persistent", "fused_scatter", "epilogue_subtile", "num_stages", "idle_sms"] + assert not any([c not in constraints_supported for c in constraints]), constraints.keys() + # tokens per expert + if routing_data is None: + tokens_per_expt = m + elif routing_data.expected_tokens_per_expt is None: + tokens_per_expt = max(1, m // routing_data.n_expts_tot) + else: + tokens_per_expt = routing_data.expected_tokens_per_expt + # pid swizzling + group_m = 8 + xcd_swizzle = 1 + # block_m + if constraints.get("block_m", None): + block_m = constraints["block_m"] + elif enforce_bitwise_invariance: + block_m = 128 + else: + block_m = max(16, min(triton.next_power_of_2(tokens_per_expt), 128)) + # block n + arch = None + block_n = opt_flags_nvidia.compute_block_n(n, arch, precision_config) + # is_persistent + grid_size = opt_flags_nvidia.compute_grid_size(routing_data, m, n, block_m, block_n) + n_sms = torch.cuda.get_device_properties(0).multi_processor_count + tiles_per_sm = grid_size / n_sms + supports_persistent = can_use_persistent_tma and (arch is None or int(arch[2:-1]) >= 9) + if constraints.get("is_persistent", None) is not None: + is_persistent = constraints["is_persistent"] + else: + has_simple_epilogue = precision_config.max_num_imprecise_acc is None + is_persistent = supports_persistent and has_simple_epilogue and (tiles_per_sm >= 2.0 or lhs_dtype.itemsize <= 1) and out_dtype.itemsize < 4 + # TEMP CHANGE + if precision_config.act_scale is not None or precision_config.out_scale is not None: + is_persistent = False + # block k + if constraints.get("block_k", None) is not None: + block_k = constraints["block_k"] + else: + block_k = opt_flags_nvidia.compute_block_k(m, k, is_persistent, lhs_dtype, rhs_dtype, precision_config) + # split_k + if constraints.get("split_k", None) is not None: + split_k = constraints["split_k"] + elif is_persistent or enforce_bitwise_invariance or precision_config.act_scale is not None or precision_config.out_scale is not None: + split_k = 1 + else: + estimated_actual_grid_size = opt_flags_nvidia.compute_grid_size(None, m, n, block_m, block_n) + split_k = opt_flags_nvidia.compute_split_k(block_k, k, estimated_actual_grid_size) + if split_k > 1: + # With split_k, results are written in f32. Use that for the following computations. + out_dtype = torch.float32 + compute_num_stages_args = ( + precision_config, + is_persistent, + + block_m, + block_n, + block_k, + out_dtype, + lhs_dtype, + rhs_dtype, + ) + + if constraints.get("epilogue_subtile", None) is not None: + subtiles_to_check = [constraints["epilogue_subtile"]] + else: + subtiles_to_check = [1, 2, 4] + num_stages = -1 + for ep in subtiles_to_check: + ns = opt_flags_nvidia.compute_num_stages(*compute_num_stages_args, ep, epilogue_effective_itemsize) + if ns > num_stages: + epilogue_subtile, num_stages = ep, ns + assert num_stages >= 1 + if constraints.get("num_stages", None): + num_stages = constraints["num_stages"] + # fused scatter scratchpad + if constraints.get("fused_scatter", None) is not None: + fused_scatter = constraints["fused_scatter"] + else: + fused_scatter = can_use_fused_scatter and split_k == 1 + # Handshake with the HBM swizzling + num_warps = opt_flags_nvidia.compute_num_warps(block_m, block_n, precision_config) + ret = OptFlags( + block_m=block_m, + block_n=block_n, + block_k=block_k, + num_warps=num_warps, + num_stages=num_stages, + fused_scatter=fused_scatter, + group_m=group_m, + xcd_swizzle=xcd_swizzle, + w_cache_modifier=None, + split_k=split_k, + is_persistent=is_persistent, + epilogue_subtile=epilogue_subtile, + arch=arch, + target_kernel_kwargs=dict(), + idle_sms=constraints.get("idle_sms", 0), + ) + # check constraints + assert all(getattr(ret, ck) == cv for ck, cv in constraints.items() if cv is not None), f"{ret} != {constraints}" + return ret + +# -------------- +# User Interface +# -------------- + +_opt_flags_constraints: dict = dict() +_opt_flags: OptFlags | None = None + +def update_opt_flags_constraints(constraints: dict[str, int]): + global _opt_flags_constraints + _opt_flags_constraints.update(constraints) + +def reset_opt_flags_constraints(): + global _opt_flags_constraints + _opt_flags_constraints = dict() + +def set_opt_flags(opt_flags: OptFlags): + global _opt_flags + assert not _opt_flags_constraints, "setting constraints is incompatible with manual flags override" + assert not _opt_flags, "opt_flags already set; please reset to None first" + _opt_flags = opt_flags + +class InapplicableConstraint(Exception): + pass + +def make_opt_flags( + out_dtype, + lhs_dtype, + rhs_dtype, + precision_config, + m, + n, + k, + routing_data, + can_use_persistent_tma, + can_use_fused_scatter, + epilogue_effective_itemsize, +): + if _opt_flags_constraints.get("is_persistent", False) and not can_use_persistent_tma: + raise InapplicableConstraint("cannot enforce `is_persistent=True` constraint") + if _opt_flags_constraints.get("fused_scatter", False) and not can_use_fused_scatter: + raise InapplicableConstraint("cannot enforce `fused_scatter=True` constraint") + enforce_bitwise_invariance = precision_config.enforce_bitwise_invariance + if _opt_flags is not None: + assert not _opt_flags_constraints + return _opt_flags + args = [out_dtype, lhs_dtype, rhs_dtype, precision_config, m, n, k, + routing_data, can_use_persistent_tma, can_use_fused_scatter, + enforce_bitwise_invariance, epilogue_effective_itemsize, + _opt_flags_constraints] + backend = triton.runtime.driver.active.get_current_target().backend + if backend == "hip": + return make_default_opt_flags_amd(*args) + if backend == "cuda": + return make_default_opt_flags_nvidia(*args) + assert False diff --git a/triton_kernels/matmul_ogs_details/opt_flags_details/__init__.py b/triton_kernels/matmul_ogs_details/opt_flags_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/opt_flags_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_amd.py b/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_amd.py new file mode 100644 index 000000000000..11d8102d47d3 --- /dev/null +++ b/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_amd.py @@ -0,0 +1,37 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_amd.py +# Triton is licensed under the MIT License. + +import torch +import triton +from triton_kernels.target_info import get_cdna_version +from triton_kernels.tensor import bitwidth + + +def compute_block_nk(n, block_m, grid_m, num_xcds, lhs_dtype, rhs_dtype, precision_config): + lhs_width = bitwidth(lhs_dtype) / 8 + rhs_width = bitwidth(rhs_dtype) / 8 + + # block_n: + n_cu = torch.cuda.get_device_properties(0).multi_processor_count + if n is not None: + if n <= 128 and (n & (n - 1)) == 0: + block_n = n + else: + block_n = max(32, min(256, triton.next_power_of_2(grid_m * n * num_xcds // n_cu))) + elif block_m > 64: + block_n = 256 + else: + block_n = 128 + + if get_cdna_version() == 4 and block_m == 128: + block_n = 512 + + # block_k needs to match the cacheline size (128B) + block_k = int(128 // min(lhs_width, rhs_width)) + + # TODO: block_k = 128 seems to work better for now. + # perhaps due to increased number of k loops to pipeline + if precision_config.weight_scale is not None and get_cdna_version() != 4: + block_k = 128 + return block_n, block_k diff --git a/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_nvidia.py b/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_nvidia.py new file mode 100644 index 000000000000..9ae84646c93e --- /dev/null +++ b/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_nvidia.py @@ -0,0 +1,115 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/matmul_ogs_details/opt_flags_details/opt_flags_nvidia.py +# Triton is licensed under the MIT License. + +import torch +import triton +from triton_kernels import target_info +from triton_kernels.tensor import get_layout, bitwidth, FP4 +from triton_kernels.tensor_details.layout import HopperMXScaleLayout +from triton_kernels.numerics_details.mxfp_details._downcast_to_mxfp import MXFP_BLOCK_SIZE + + +def compute_grid_size(routing_data, m, n, block_m, block_n): + if routing_data is not None: + grid_m = routing_data.n_blocks(m, block_m) + else: + grid_m = triton.cdiv(m, block_m) + grid_n = (n + block_n - 1) // block_n + return grid_m * grid_n + + +def compute_block_n(n: int, arch, precision_config): + # block_n: + layout = get_layout(precision_config.weight_scale) + if isinstance(layout, HopperMXScaleLayout) and layout.num_warps == 4: + return 128 + elif precision_config.max_num_imprecise_acc is None and n > 128: + return 256 + else: + return max(16, min(128, triton.next_power_of_2(n))) + + +def compute_block_k(m: int, k: int | None, is_persistent: bool, lhs_dtype, rhs_dtype, precision_config): + lhs_width = bitwidth(lhs_dtype) + rhs_width = bitwidth(rhs_dtype) + # block_k needs to match the cacheline size (1024 bits) + block_k = int(1024 // min(lhs_width, rhs_width)) + has_native_mxfp = target_info.cuda_capability_geq(10, 0) + if rhs_width == 4 and not has_native_mxfp: + block_k = 128 + elif k is not None: + block_k = max(32, min(triton.next_power_of_2(k), block_k)) + has_mx_weight_scale = precision_config is not None and precision_config.weight_scale is not None + if has_native_mxfp and is_persistent and has_mx_weight_scale: + block_k = min(block_k, 128) + return block_k + + +def compute_split_k(block_k: int, k: int | None, grid_size: int) -> int: + device_props = torch.cuda.get_device_properties(0) + n_sms = device_props.multi_processor_count + split_k = n_sms // grid_size + if k is not None: + # avoid split_k for small k + num_block_k = triton.cdiv(k, block_k) + split_k = min(split_k, num_block_k // 4) + split_k = max(split_k, 1) + return split_k + + +def compute_num_warps(block_m, block_n, precision_config): + layout = get_layout(precision_config.weight_scale) + if isinstance(layout, HopperMXScaleLayout): + return layout.num_warps + return max(block_m * block_n // 4096, 4) + + +def compute_num_stages( + precision_config, + is_persistent, + block_m, + block_n, + block_k, + out_dtype, + lhs_dtype, + rhs_dtype, + epilogue_subtile, + epilogue_effective_itemsize, +): + if precision_config.max_num_imprecise_acc is not None: + return 3 + weight_size = bitwidth(rhs_dtype) / 8 + stage_size = block_m * block_k * lhs_dtype.itemsize + block_k * block_n * weight_size + device_props = torch.cuda.get_device_properties(0) + smem_capacity = device_props.shared_memory_per_block_optin + has_native_mxfp = target_info.cuda_capability_geq(10, 0) + if has_native_mxfp and getattr(precision_config, "weight_scale", None) is not None: + if rhs_dtype == FP4: + # 4-bit e2m1 weights are padded 2x + # https://docs.nvidia.com/cuda/parallel-thread-execution/#packing-format-used-for-matrix-a-and-b-by-kind-mxf8f6f4-in-shared-memory + stage_size += block_k * block_n * weight_size + + if is_persistent: + # Per-stage wait barrier + stage_size += 8 + if target_info.cuda_capability_geq(10, 0): + acc_size = epilogue_effective_itemsize or out_dtype.itemsize + else: + acc_size = out_dtype.itemsize + if target_info.cuda_capability_geq(10, 0) and epilogue_subtile is not None: + acc_block_n = block_n // epilogue_subtile + else: + acc_block_n = block_n + # pipelined TMA store local to global, or + # pipelined layout conversion before store of the accumulator + # note: layout conversion has some padding + smem_capacity -= int((block_m + 4) * acc_block_n * acc_size) + if precision_config.weight_scale is not None: + # mx scales + stage_size += block_n * (block_k // int(MXFP_BLOCK_SIZE)) + elif has_native_mxfp: + # mx scales + stage_size += block_n * (block_k // int(MXFP_BLOCK_SIZE)) + num_stages = min(4, smem_capacity // int(stage_size)) + return num_stages diff --git a/triton_kernels/numerics.py b/triton_kernels/numerics.py new file mode 100644 index 000000000000..0bbe6b1b6389 --- /dev/null +++ b/triton_kernels/numerics.py @@ -0,0 +1,46 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics.py +# Triton is licensed under the MIT License. + +import torch +from dataclasses import dataclass + +MAX_FINITE_FLOAT8E5 = 57344.0 +MAX_FINITE_FLOAT8E4NV = 448.0 +MAX_FINITE_FLOAT8E4B8 = 240.0 + + +@dataclass(frozen=True) +class BaseFlexData: + dtype: torch.dtype | None = None + + def view(self, x: torch.Tensor): + if self.dtype is None: + return x + return x.view(self.dtype) + + def reinterpret(self, x): + if self.dtype is None or x.dtype.itemsize > 1: + return x + return x.view(self.dtype) + + +@dataclass(frozen=True) +class InFlexData(BaseFlexData): + scale: torch.Tensor | None = None + + @property + def is_per_batch(self): + return False if self.scale is None else len(self.scale) > 1 + + +@dataclass(frozen=True) +class OutFlexData(BaseFlexData): + expected_scale: torch.Tensor | None = None + actual_scale: torch.Tensor | None = None + checksum_scale: torch.Tensor | None = None + + def __iter__(self): + yield self.expected_scale + yield self.actual_scale + yield self.checksum_scale diff --git a/triton_kernels/numerics_details/__init__.py b/triton_kernels/numerics_details/__init__.py new file mode 100644 index 000000000000..06cad1246f25 --- /dev/null +++ b/triton_kernels/numerics_details/__init__.py @@ -0,0 +1,3 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics_details/__init__.py +# Triton is licensed under the MIT License. diff --git a/triton_kernels/numerics_details/flexpoint.py b/triton_kernels/numerics_details/flexpoint.py new file mode 100644 index 000000000000..ad905d009d0e --- /dev/null +++ b/triton_kernels/numerics_details/flexpoint.py @@ -0,0 +1,194 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics_details/flexpoint.py +# Triton is licensed under the MIT License. + +from ..numerics import MAX_FINITE_FLOAT8E4B8, MAX_FINITE_FLOAT8E4NV, MAX_FINITE_FLOAT8E5 +import triton +import triton.language as tl +from triton_kernels.target_info import cuda_capability_geq + +# ------------------------------- +# Kernels stuff +# ------------------------------- + +TL_MAX_FINITE_FLOAT8E5 = tl.constexpr(MAX_FINITE_FLOAT8E5) +TL_MAX_FINITE_FLOAT8E4NV = tl.constexpr(MAX_FINITE_FLOAT8E4NV) +TL_MAX_FINITE_FLOAT8E4B8 = tl.constexpr(MAX_FINITE_FLOAT8E4B8) +TL_MAX_FINITE_FLOAT8E4B15 = tl.constexpr(1.750) +TL_MAX_FINITE_FLOAT16 = tl.constexpr(65472.0) + +TL_RCP_MAX_FINITE_FLOAT8E5 = tl.constexpr(0x37924925) # 0x1.24924Ap-16 +TL_RCP_MAX_FINITE_FLOAT8E4NV = tl.constexpr(0x3B124925) # 0x1.24924Ap-9 +TL_RCP_MAX_FINITE_FLOAT8E4B8 = tl.constexpr(0x3B888889) # 0x1.111112p-8 +TL_RCP_MAX_FINITE_FLOAT8E4B15 = tl.constexpr(0x3F124925) # 0x1.24924Ap-1 +TL_RCP_MAX_FINITE_FLOAT16 = tl.constexpr(0x37802008) # 0x1.004010p-16 + + +@triton.jit +def max_finite(dtype): + if dtype == tl.constexpr(tl.float8e5): + return TL_MAX_FINITE_FLOAT8E5 + elif dtype == tl.constexpr(tl.float8e4nv): + return TL_MAX_FINITE_FLOAT8E4NV + elif dtype == tl.constexpr(tl.float8e4b8): + return TL_MAX_FINITE_FLOAT8E4B8 + elif dtype == tl.constexpr(tl.float8e4b15): + return TL_MAX_FINITE_FLOAT8E4B15 + elif dtype == tl.constexpr(tl.float16): + return TL_MAX_FINITE_FLOAT16 + else: + tl.static_assert(tl.constexpr(False), f"{dtype} not supported in flexpoint") + + +@triton.jit +def rcp_max_finite(dtype): + if dtype == tl.constexpr(tl.float8e5): + return TL_RCP_MAX_FINITE_FLOAT8E5 + elif dtype == tl.constexpr(tl.float8e4nv): + return TL_RCP_MAX_FINITE_FLOAT8E4NV + elif dtype == tl.constexpr(tl.float8e4b8): + return TL_RCP_MAX_FINITE_FLOAT8E4B8 + elif dtype == tl.constexpr(tl.float8e4b15): + return TL_RCP_MAX_FINITE_FLOAT8E4B15 + elif dtype == tl.constexpr(tl.float16): + return TL_RCP_MAX_FINITE_FLOAT16 + else: + tl.static_assert(tl.constexpr(False), f"{dtype} not supported in flexpoint") + + +@triton.jit +def sm86_min_nan_xorsign_abs_f32(a, b): + """Wrapper for min.NaN.xorsign.abs.f32 PTX instruction. + + Computes the minimum of the absolute values of the two inputs and sets its sign to the XOR of the signs of the inputs. + NaN inputs are propagated to the output. + + Requires CUDA compute capability 8.6+ (A100 and A30 Ampere GPUs don't support it, but A40/A16/A10/A2, Ada, and Hopper GPUs do). + """ + tl.static_assert(cuda_capability_geq(8, 6), "min.NaN.xorsign.abs.f32 requires CUDA compute capability 8.6+") + tl.static_assert(a.dtype == tl.float32, "min.NaN.xorsign.abs.f32 requires float32 inputs") + tl.static_assert(b.dtype == tl.float32, "min.NaN.xorsign.abs.f32 requires float32 inputs") + + return tl.inline_asm_elementwise( + """{ + min.NaN.xorsign.abs.f32 $0, $1, $2; + }""", + "=r,r,r", + [a, b], + dtype=tl.float32, + is_pure=True, + pack=1, + ) + + +@triton.jit +def sm86_max_nan_xorsign_abs_f32(a, b): + """Wrapper for max.NaN.xorsign.abs.f32 PTX instruction. + + Computes the maximum of the absolute values of the two inputs and sets its sign to the XOR of the signs of the inputs. + NaN inputs are propagated to the output. + + Requires CUDA compute capability 8.6+ (A100 and A30 Ampere GPUs don't support it, but A40/A16/A10/A2, Ada, and Hopper GPUs do). + """ + tl.static_assert(cuda_capability_geq(8, 6), "max.NaN.xorsign.abs.f32 requires CUDA compute capability 8.6+") + tl.static_assert(a.dtype == tl.float32, "max.NaN.xorsign.abs.f32 requires float32 inputs") + tl.static_assert(b.dtype == tl.float32, "max.NaN.xorsign.abs.f32 requires float32 inputs") + + return tl.inline_asm_elementwise( + """{ + max.NaN.xorsign.abs.f32 $0, $1, $2; + }""", + "=r,r,r", + [a, b], + dtype=tl.float32, + is_pure=True, + pack=1, + ) + + +@triton.jit +def load_scale(scale_ptr): + return 1.0 if scale_ptr is None else tl.load(scale_ptr) + + +@triton.jit +def flex_to_float(x, scale_ptr): + scale = load_scale(scale_ptr) + return x.to(tl.float32) * scale + + +@triton.jit +def clip(x, limit): + res = tl.minimum(x, limit) + res = tl.maximum(-limit, res) + return res + + +@triton.jit +def nan_propagating_absmax_reduce(x, axis=None): + if cuda_capability_geq(8, 6): + # abs-max-reduce as floating-point if `max.NaN.xorsign.abs.f32` is supported. + x_absmax = tl.reduce(x, axis, sm86_max_nan_xorsign_abs_f32) + # Note: sign of reduction result is the xor of signs of all inputs, explicitly clear the sign bit to fix it. + x_absmax = x_absmax.to(tl.uint32, bitcast=True) & 0x7FFFFFFF + else: + # Clear the sign bit, max-reduce as integer (same as NaN-propagating max-reduce as float) + masked_abs_x = x.to(tl.uint32, bitcast=True) & 0x7FFFFFFF + x_absmax = tl.max(masked_abs_x, axis) + + return x_absmax + + +@triton.jit +def compute_scale(x, Out): + x_absmax = nan_propagating_absmax_reduce(tl.ravel(x, can_reorder=True)) + + # atomic_max does not propagate NaNs, so we replace them with +inf (0x7f800000). + # We use integer minimum because NaNs are above +inf in integer representation. + x_absmax = tl.minimum(x_absmax, 0x7F800000).to(tl.float32, bitcast=True) + RCP_MAX_VALUE = rcp_max_finite(Out.dtype.element_ty) + return tl.fma(x_absmax, RCP_MAX_VALUE.to(tl.float32, bitcast=True), 1.0e-30) + + +@triton.jit +def update_scale(x, scale_ptr, Out) -> None: + if scale_ptr is not None: + scale = compute_scale(x, Out) + tl.atomic_max(scale_ptr, scale, sem="relaxed") + + +@triton.jit +def float_to_flex( + x, + expected_scale_ptr_or_val, + actual_scale_ptr, + checksum_scale_ptr, + mask, + Out, + saturate_infs: tl.constexpr, +): + if expected_scale_ptr_or_val is not None: + if expected_scale_ptr_or_val.dtype.is_ptr(): + invscale = 1.0 / tl.load(expected_scale_ptr_or_val) + else: + invscale = 1.0 / expected_scale_ptr_or_val + else: + invscale = 1.0 + if checksum_scale_ptr is not None: + x_int32 = x.to(tl.int32, bitcast=True) + zero = tl.cast(0.0, tl.int32) + if mask is not None: + x_int32 = tl.where(mask, x_int32, zero) + checksum_local = tl.xor_sum(tl.ravel(x_int32, can_reorder=True), 0) + tl.atomic_add(checksum_scale_ptr, checksum_local) + if mask is not None: + if actual_scale_ptr is not None: + x = tl.where(mask, x, 0.0) + update_scale(x, actual_scale_ptr, Out) + x = x * invscale + # if expected_scale_ptr is not None, we applied flexpoint scale. We only want to clip in this case. + if expected_scale_ptr_or_val is not None: + if saturate_infs: + CLIP_VALUE = max_finite(Out.dtype.element_ty) + x = clip(x, CLIP_VALUE) + return x diff --git a/triton_kernels/numerics_details/mxfp.py b/triton_kernels/numerics_details/mxfp.py new file mode 100644 index 000000000000..bd4fca8fc813 --- /dev/null +++ b/triton_kernels/numerics_details/mxfp.py @@ -0,0 +1,307 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics_details/mxfp.py +# Triton is licensed under the MIT License. + +# isort: off +# fmt: off +from enum import Enum +import triton +import torch +import torch.nn.functional as F +from .mxfp_details._upcast_from_mxfp import _upcast_from_mxfp +from .mxfp_details._downcast_to_mxfp import _downcast_to_mxfp, MXFP_BLOCK_SIZE, _quantize_mxfp8_fn + +# ----------------------------------------------------------------------------- +# Dequantization / Quantization Utilities +# ----------------------------------------------------------------------------- + + +class DequantScaleRoundingMode(Enum): + ROUND_UP = 0 + ROUND_DOWN = 1 + + +def downcast_to_mxfp(src_tensor: torch.Tensor, out_quant_type: torch.dtype, axis: int, + DEQUANT_SCALE_ROUNDING_MODE: DequantScaleRoundingMode = DequantScaleRoundingMode.ROUND_UP): + """ + Convert the src weights to mx format. The src weight is quantized along the axis dimension. + + If weight_quant_type is torch.uint8, we output mxfp4 where two e2m1 values are packed into a single byte. + Note that this means the k_dim of the tensor will be half of the logical k_dim. + + If weight_quant_type is torch.float8_e4m3fn or torch.float8_e5m2, we output mxfp8 with the float8s are stored + in their respective formats. + """ + ndim = src_tensor.ndim + assert -ndim <= axis < ndim, f"Invalid axis {axis=}" + axis = axis if axis >= 0 else axis + ndim + # downcast + src_tensor = src_tensor.transpose(axis, src_tensor.ndim - 1) + is_fp4 = out_quant_type == torch.uint8 + is_fp8 = out_quant_type in (torch.float8_e4m3fn, torch.float8_e5m2) + assert is_fp4 or is_fp8 + divisor = 2 if is_fp4 else 1 + L = src_tensor.shape[-1] + if is_fp4: + assert L % 2 == 0, f"axis dim must be divisible by 2 for e2m1. Got {L}" + out_shape = src_tensor.shape[:-1] + (L // divisor, ) + out_scale_shape = src_tensor.shape[:-1] + (triton.cdiv(L, MXFP_BLOCK_SIZE), ) + + out_quant_tensor = src_tensor.new_empty(out_shape, dtype=out_quant_type) + out_scale = src_tensor.new_empty(out_scale_shape, dtype=torch.uint8) + + if src_tensor.numel() > 0: + kernel_src_tensor = src_tensor.reshape(-1, src_tensor.shape[-1]) + kernel_quant_tensor = out_quant_tensor.view(-1, out_quant_tensor.shape[-1]) + kernel_scale = out_scale.view(-1, out_scale.shape[-1]) + + BLOCK_OUT_DIM = 128 + BLOCK_QUANT_DIM = MXFP_BLOCK_SIZE.value + grid_out = triton.cdiv(kernel_src_tensor.shape[0], BLOCK_OUT_DIM) + grid_quant = triton.cdiv(kernel_src_tensor.shape[1], BLOCK_QUANT_DIM) + + _downcast_to_mxfp[(grid_out, grid_quant)](kernel_quant_tensor, *kernel_quant_tensor.stride(), kernel_scale, + *kernel_scale.stride(), kernel_src_tensor, *kernel_src_tensor.stride(), + *kernel_src_tensor.shape, BLOCK_OUT_DIM, BLOCK_QUANT_DIM, + DEQUANT_SCALE_ROUNDING_MODE.value, num_warps=8) + + out_quant_tensor = out_quant_tensor.transpose(axis, src_tensor.ndim - 1) + out_scale = out_scale.transpose(axis, src_tensor.ndim - 1) + return out_quant_tensor, out_scale + + +def upcast_from_mxfp(tensor: torch.Tensor, scale: torch.Tensor, target_dtype: torch.dtype, axis: int): + """ + Upcasts an mxfp (packed) weight tensor back to float16 or bfloat16. + + The function assumes that the tensors were quantized along the given axis. + It permutes the tensor so that the quantized axis is last, reshapes to 2D, + launches the Triton upcast kernel, and then unpermutes back to the original order. + """ + ndim = tensor.ndim + assert -ndim <= axis < ndim, f"Invalid axis {axis=}" + axis = axis if axis >= 0 else axis + ndim + assert tensor.ndim == scale.ndim, (f"Weight and scale must have the same number of dimensions. " + f"Got {tensor.ndim=} and {scale.ndim=}") + # dtype checks + assert tensor.dtype in {torch.uint8, torch.float8_e5m2, torch.float8_e4m3fn}, \ + f"Invalid tensor dtype {tensor.dtype=}" + assert scale.dtype == torch.uint8, f"Invalid scale dtype {scale.dtype=}" + assert target_dtype in (torch.float16, torch.bfloat16, torch.float32), f"Invalid output dtype {target_dtype=}" + # upcast + logical_quant_dim = tensor.shape[axis] * (2 if tensor.dtype == torch.uint8 else 1) + tensor = tensor.transpose(axis, tensor.ndim - 1).contiguous() + scale = scale.transpose(axis, scale.ndim - 1).contiguous() + out = torch.empty((*tensor.shape[:-1], logical_quant_dim), dtype=target_dtype, device=tensor.device) + reshaped_out = out.view(-1, out.shape[-1]) + reshaped_tensor = tensor.view(-1, tensor.shape[-1]) + reshaped_scale = scale.view(-1, scale.shape[-1]) + BLOCK_OUT_DIM = 128 + BLOCK_QUANT_DIM = MXFP_BLOCK_SIZE.value + blocks_out_dim = triton.cdiv(reshaped_out.shape[0], BLOCK_OUT_DIM) + blocks_quant_dim = triton.cdiv(reshaped_out.shape[1], BLOCK_QUANT_DIM) + _upcast_from_mxfp[(blocks_out_dim, blocks_quant_dim)](reshaped_out, *reshaped_out.stride(), reshaped_scale, + *reshaped_scale.stride(), reshaped_tensor, + *reshaped_tensor.stride(), *reshaped_out.shape, BLOCK_OUT_DIM, + BLOCK_QUANT_DIM, num_warps=8) + out = out.transpose(axis, scale.ndim - 1).contiguous() + return out + + +# ------------ + + +def right_shift_unsigned(x, shift): + # CUDA torch does not support bit ops on uint32, so we need to mask to get unsigned right shift + return (x >> shift) & ((1 << (32 - shift)) - 1) + + +def get_max_quant_val(dtype: torch.dtype): + d = {torch.uint8: 6.0, torch.float8_e5m2: 57344.0, torch.float8_e4m3fn: 448.0} + assert dtype in d + return d[dtype] + + +def downcast_to_mxfp_torch(src_tensor: torch.Tensor, out_quant_type: torch.dtype, axis: int, + DEQUANT_SCALE_ROUNDING_MODE: DequantScaleRoundingMode = DequantScaleRoundingMode.ROUND_UP): + """ + Converts the src tensor to the output format specified by out_quant_type. + axis: The axis along which the tensors are contiguous and quantization is applied. + DEQUANT_SCALE_ROUNDING_MODE: 0 for ROUND_UP, 1 for ROUND_DOWN. + + Returns: + out_quant_tensor: Quantized tensor in mx format. + • For mxfp8, the output has the same shape as src_tensor. + • For mxfp4, the size along the axis is halved, and the tensor is returned as a torch.uint8. + scale: Scale tensor (stored as uint8) computed per group of 32 elements along the axis. + Its shape is the same as src_tensor except that the axis is replaced by ceil(L/32), + where L is the original length along that axis. + """ + # This should probably be packed into its own tiny class + ndim = src_tensor.ndim + assert -ndim <= axis < ndim, f"Invalid axis {axis=}" + assert src_tensor.dtype in {torch.float32, torch.bfloat16, + torch.float16}, f"Invalid input tensor dtype {src_tensor.dtype}" + + axis = axis if axis >= 0 else axis + ndim + is_fp4 = out_quant_type == torch.uint8 + is_fp8 = "float8" in str(out_quant_type) + assert is_fp4 or is_fp8, f"Invalid input tensor dtype {out_quant_type}" + + device = src_tensor.device + + # For mxfp4 conversion, we assume the contiguous axis length is even. + if is_fp4: + axis_shape = src_tensor.size(axis) + assert axis_shape % 2 == 0, "For mxfp4 conversion the contiguous axis length must be even." + + # Permute the tensor so that the contiguous axis becomes the last dimension. + src = src_tensor.transpose(axis, src_tensor.ndim - 1).to(torch.float32) + axis_shape = src.shape[-1] + + # Pad the axis to be divisible by 32, in case it is not. + next_multiple = triton.cdiv(axis_shape, MXFP_BLOCK_SIZE) * MXFP_BLOCK_SIZE + pad_amount = next_multiple - axis_shape + padded_src = F.pad(src, (0, pad_amount)) + valid_mask = F.pad(torch.ones_like(src, dtype=torch.bool), (0, pad_amount)) + padded_axis_shape = padded_src.size(-1) # now divisible by 32 + + # --- Compute per-group maximums for scale --- + # Set padded entries to -1 so they don’t affect the max. + abs_f = torch.abs(padded_src) + abs_f = torch.where(valid_mask, abs_f, torch.tensor(-1.0, device=device, dtype=padded_src.dtype)) + # Reshape the last dimension into groups of 32. + new_shape = padded_src.shape[:-1] + (padded_axis_shape // MXFP_BLOCK_SIZE, MXFP_BLOCK_SIZE) + abs_groups = abs_f.view(*new_shape) + # Compute maximum along the group dimension (of size 32). + max_val, _ = abs_groups.max(dim=-1, keepdim=True) + + # Choose a max quantization value depending on type. + max_quant_val = get_max_quant_val(out_quant_type) + dequant_scale = max_val / max_quant_val # shape: (..., padded_axis_shape//32, 1) + + # Convert to int to round the FP32 scale, prior to quantization! + ds_int = dequant_scale.view(torch.int32) + if DEQUANT_SCALE_ROUNDING_MODE == DequantScaleRoundingMode.ROUND_UP: + ds_int_rounded = (ds_int + 0x007FFFFF) & 0x7F800000 + else: + ds_int_rounded = ds_int & 0x7F800000 + # Reinterpret back as float32. + dequant_scale_rounded = ds_int_rounded.view(torch.float32) + + # Compute the quantization scale. + quant_scale = torch.where(dequant_scale_rounded == 0, torch.tensor(0.0, device=device), 1.0 / dequant_scale_rounded) + + # Quantize the tensor + orig_padded_shape = padded_src.shape + padded_src_groups = padded_src.view(*new_shape) + quant_tensor = padded_src_groups * quant_scale + # Reshape back to the original shape and trim padding + quant_tensor = quant_tensor.view(orig_padded_shape) + quant_tensor = quant_tensor[..., :axis_shape] + + # Finally, convert the quantized tensor to the target format + if is_fp8: + # Conversion must use satfinite PTX, so clamp before the conversion in torch to emulate this behavior + quant_tensor = torch.clamp(quant_tensor, -max_quant_val, max_quant_val) + out_weight = quant_tensor.to(out_quant_type) + else: + assert is_fp4, f"Invalid output quantization type {out_quant_type}" + # For mxfp4, perform bit-level manipulation and pack two 4-bit values per uint8. + # First, reinterpret the quantized tensor bits. + q_int = quant_tensor.contiguous().view(torch.int32) + # Extract sign, exponent, and mantissa. + signs = q_int & 0x80000000 + exponents = right_shift_unsigned(q_int, 23) & 0xFF + mantissas = q_int & 0x7FFFFF + + E8_BIAS = 127 + E2_BIAS = 1 + # Adjust mantissas for subnormals. + mantissas = torch.where(exponents < E8_BIAS, (0x400000 | right_shift_unsigned(mantissas, 1)) >> + (E8_BIAS - exponents - 1), mantissas) + exponents = torch.maximum(exponents, torch.tensor(E8_BIAS - E2_BIAS, device=device)) - (E8_BIAS - E2_BIAS) + e2m1_tmp = right_shift_unsigned(((exponents << 2) | right_shift_unsigned(mantissas, 21)) + 1, 1) + e2m1_tmp = torch.minimum(e2m1_tmp, torch.tensor(0x7, device=device)) + e2m1_value = (right_shift_unsigned(signs, 28) | e2m1_tmp).to(torch.uint8) # shape: (..., even_axis_shape) + + # Pack pairs of 4-bit values along the last dimension. + e2m1_value = e2m1_value.view(*e2m1_value.shape[:-1], axis_shape // 2, 2) + evens = e2m1_value[..., 0] + odds = e2m1_value[..., 1] + out_weight = evens | (odds << 4) # shape: (..., axis_shape//2) + + # --- Process and output the scale --- + dq_scale = (ds_int_rounded.view(*dequant_scale.shape) >> 23).to(torch.uint8) # shape: (..., axis_shape//32, 1) + dq_scale = dq_scale.squeeze(-1) + out_weight = out_weight.transpose(axis, src_tensor.ndim - 1) + dq_scale = dq_scale.transpose(axis, src_tensor.ndim - 1) + return out_weight, dq_scale + + +def cvt_e2m1_to_fp32(input_tensor): + assert input_tensor.dtype == torch.uint8 + + input_tensor = input_tensor.to(torch.int32) + evens = input_tensor & 0xF + odds = (input_tensor >> 4) & 0xF + + vals = [0.0, 0.5, 1, 1.5, 2, 3, 4, 6] + outputs = torch.tensor(vals, dtype=torch.float32, device=input_tensor.device) + outputs = torch.cat([outputs, -outputs]) + + even_floats = outputs[evens] + odd_floats = outputs[odds] + output_tensor = torch.stack([even_floats, odd_floats], dim=-1) + output_tensor = output_tensor.view(*input_tensor.shape[:-1], -1) + return output_tensor + + +def upcast_from_mxfp_torch(tensor: torch.Tensor, scale: torch.Tensor, target_dtype: torch.dtype, axis: int): + """ + Converts the mxfp4/mxfp8 tensor to the target format specified by target_dtype. + axis: The axis along which dequantization is applied. + + Returns: + out_weight: Tensor in the target format. + """ + + ndim = tensor.ndim + assert -ndim <= axis < ndim, f"Invalid axis {axis=}" + is_fp8 = tensor.dtype == torch.float8_e4m3fn or tensor.dtype == torch.float8_e5m2 + assert is_fp8 or tensor.dtype == torch.uint8, f"Invalid input quantization type {tensor.dtype}" + + # Permute the tensor and scale so that the quantization axis becomes the last dimension + axis = axis if axis >= 0 else axis + ndim + scale = scale.transpose(axis, scale.ndim - 1) + tensor = tensor.transpose(axis, tensor.ndim - 1) + + dq_scale = (scale.to(torch.int32) << 23).view(torch.float32) # Shift to the exponent and bitcast to fp32 + if tensor.dtype == torch.uint8: + fp32_tensor = cvt_e2m1_to_fp32(tensor) + else: + fp32_tensor = tensor.to(torch.float32) + + logical_quant_dim = tensor.shape[-1] * (2 if tensor.dtype == torch.uint8 else 1) + axis_shape = fp32_tensor.size(-1) + padded_axis_shape = triton.cdiv(logical_quant_dim, MXFP_BLOCK_SIZE) * MXFP_BLOCK_SIZE + pad_size = padded_axis_shape - axis_shape + padded_tensor = F.pad(fp32_tensor, (0, pad_size)) + + new_axis_shape = padded_tensor.shape[-1] + new_shape = padded_tensor.shape[:-1] + (new_axis_shape // MXFP_BLOCK_SIZE, MXFP_BLOCK_SIZE) + padded_tensor = padded_tensor.view(*new_shape) + dq_scale_padded = dq_scale.unsqueeze(-1) # shape: [..., ceil(axis_shape/32), 1] + out_padded = padded_tensor * dq_scale_padded + + # Flatten back and remove the padded tail + out_padded = out_padded.view(*fp32_tensor.shape[:-1], new_axis_shape) + out_tensor = out_padded[..., :axis_shape] + + out_tensor = out_tensor.to(target_dtype).contiguous() + out_tensor = out_tensor.transpose(axis, tensor.ndim - 1) + + return out_tensor + + +quantize_mxfp8_fn = _quantize_mxfp8_fn diff --git a/triton_kernels/numerics_details/mxfp_details/__init__.py b/triton_kernels/numerics_details/mxfp_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/numerics_details/mxfp_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/numerics_details/mxfp_details/_downcast_to_mxfp.py b/triton_kernels/numerics_details/mxfp_details/_downcast_to_mxfp.py new file mode 100644 index 000000000000..616dfd0dac64 --- /dev/null +++ b/triton_kernels/numerics_details/mxfp_details/_downcast_to_mxfp.py @@ -0,0 +1,162 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics_details/mxfp_details/_downcast_to_mxfp.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + +# fmt: off + + +MXFP_BLOCK_SIZE = tl.constexpr(32) + + +@triton.jit +def _get_max_quant_val(dtype: tl.constexpr): + if dtype == tl.uint8: + return 6.0 + elif dtype == tl.float8e5: + return 57344.0 + elif dtype == tl.float8e4nv: + return 448.0 + else: + tl.static_assert(False, f"Invalid {dtype=}") + +@triton.jit +def _compute_quant_and_scale(src_tensor, valid_src_mask, mx_tensor_dtype: tl.constexpr, + DEQUANT_SCALE_ROUNDING_MODE: tl.constexpr = 0): + is_fp8: tl.constexpr = mx_tensor_dtype == tl.float8e4nv or mx_tensor_dtype == tl.float8e5 + BLOCK_SIZE_OUT_DIM: tl.constexpr = src_tensor.shape[0] + BLOCK_SIZE_QUANT_DIM: tl.constexpr = src_tensor.shape[1] + BLOCK_SIZE_QUANT_MX_SCALE: tl.constexpr = src_tensor.shape[1] // MXFP_BLOCK_SIZE + + # Explicit cast to fp32 since most ops are not supported on bfloat16. We avoid needless conversions to and from bf16 + f32_tensor = src_tensor.to(tl.float32) + abs_tensor = tl.abs(f32_tensor) + abs_tensor = tl.where(valid_src_mask, abs_tensor, -1.0) # Don't consider padding tensors in scale computation + abs_tensor = tl.reshape(abs_tensor, [BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_MX_SCALE, MXFP_BLOCK_SIZE]) + max_val = tl.max(abs_tensor, axis=2, keep_dims=True) + dequant_scale = max_val / _get_max_quant_val(mx_tensor_dtype) + if DEQUANT_SCALE_ROUNDING_MODE == 0: + # DequantScaleRoundingMode.ROUND_UP + # compute 2 ** ceil(log2(dequant_scale)) + # Adding 0x007FFFFF adds exponent by 1 unless mantissa is all zeros + # A corner case: exponent is 0xFF that will overflow but that's already + # NaN so assume we don't care. + dequant_scale_exponent = (dequant_scale.to(tl.uint32, bitcast=True) + 0x007FFFFF) & 0x7F800000 + else: + # DequantScaleRoundingMode.ROUND_DOWN + # compute 2 ** floor(log2(dequant_scale)) + assert DEQUANT_SCALE_ROUNDING_MODE == 1 + dequant_scale_exponent = dequant_scale.to(tl.uint32, bitcast=True) & 0x7F800000 + dequant_scale_rounded = dequant_scale_exponent.to(tl.float32, bitcast=True) + quant_scale = tl.where(dequant_scale_rounded == 0, 0, 1.0 / dequant_scale_rounded) + + f32_tensor = tl.reshape(f32_tensor, [BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_MX_SCALE, MXFP_BLOCK_SIZE]) + quant_tensor = f32_tensor * quant_scale + + # Reshape the tensors after scaling + quant_tensor = quant_tensor.reshape([BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_DIM]) + # Set the invalid portions of the tensor to 0. This will ensure that any padding tensors are 0 in the mx format. + quant_tensor = tl.where(valid_src_mask, quant_tensor, 0) + dequant_scale_exponent = dequant_scale_exponent.reshape([BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_MX_SCALE]) + + # First, we simply extract the exponent part of the scales and store the result + dequant_scale_exponent = (dequant_scale_exponent >> 23).to(tl.uint8) + # Now we must convert the tensors to the mx format. + if is_fp8: + out_tensor = quant_tensor.to(mx_tensor_dtype) + else: + quant_tensor = quant_tensor.to(tl.uint32, bitcast=True) + signs = quant_tensor & 0x80000000 + exponents = (quant_tensor >> 23) & 0xFF + mantissas = (quant_tensor & 0x7FFFFF) + + # 0.25 <= x < 0.75 maps to 0.5, a denormal number + E8_BIAS = 127 + E2_BIAS = 1 + # Move implicit bit 1 at the beginning to mantissa for denormals + adjusted_exponents = tl.core.sub(E8_BIAS, exponents + 1, sanitize_overflow=False) + mantissas = tl.where(exponents < E8_BIAS, (0x400000 | (mantissas >> 1)) >> adjusted_exponents, mantissas) + + # For normal numbers, we change the bias from 127 to 1, and for subnormals, we keep exponent as 0. + exponents = tl.maximum(exponents, E8_BIAS - E2_BIAS) - (E8_BIAS - E2_BIAS) + + # Combine sign, exponent, and mantissa, while saturating + # rounding nearest with tie breaking up by adding +1 to one bit right of the LSB, then shift right + e2m1_tmp = tl.minimum((((exponents << 2) | (mantissas >> 21)) + 1) >> 1, 0x7) + e2m1_value = ((signs >> 28) | e2m1_tmp).to(tl.uint8) + + e2m1_value = tl.reshape(e2m1_value, [BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_DIM // 2, 2]) + evens, odds = tl.split(e2m1_value) + out_tensor = evens | (odds << 4) + + return out_tensor, dequant_scale_exponent + +@triton.jit +def _downcast_to_mxfp(mx_tensor_ptr, stride_mxt_outer, stride_mxt_quant: tl.constexpr, + mx_scale_ptr, stride_mx_scale_outer, stride_mx_scale_quant, + src_ptr, stride_src_outer, stride_src_quant, + outer_dim, quant_dim, + BLOCK_SIZE_OUT_DIM: tl.constexpr, BLOCK_SIZE_QUANT_DIM: tl.constexpr, + DEQUANT_SCALE_ROUNDING_MODE: tl.constexpr): + + tl.static_assert(stride_mxt_quant == 1, f"Output stride, {stride_mxt_quant=} must be 1.") + tl.static_assert(BLOCK_SIZE_QUANT_DIM % MXFP_BLOCK_SIZE == 0, f"{BLOCK_SIZE_QUANT_DIM=} must be a multiple of 32") + + # uint8 signifies two fp4 e2m1 values packed into a single byte + mx_tensor_dtype: tl.constexpr = mx_tensor_ptr.dtype.element_ty + tl.static_assert(mx_tensor_dtype == tl.uint8 or (mx_tensor_dtype == tl.float8e4nv or mx_tensor_dtype == tl.float8e5), + f"Invalid {mx_tensor_dtype=}. Must be uint8 or float8.") + + src_dtype: tl.constexpr = src_ptr.dtype.element_ty + tl.static_assert(mx_scale_ptr.dtype.element_ty == tl.uint8, f"{mx_scale_ptr.dtype.element_ty=} must be uint8") + tl.static_assert((src_dtype == tl.bfloat16) or (src_dtype == tl.float16) or (src_dtype == tl.float32), f"{src_dtype=} must be bfloat16 or float16 or float32") + is_fp4: tl.constexpr = mx_tensor_dtype == tl.uint8 + + outer_block = tl.program_id(0).to(tl.int64) + quant_block = tl.program_id(1).to(tl.int64) + + K_DIVISOR: tl.constexpr = 2 if is_fp4 else 1 + BLOCK_SIZE_QUANT_MX_SCALE: tl.constexpr = BLOCK_SIZE_QUANT_DIM // MXFP_BLOCK_SIZE + BLOCK_SIZE_QUANT_MX_TENSOR: tl.constexpr = BLOCK_SIZE_QUANT_DIM // K_DIVISOR + + start_src_quant = quant_block * BLOCK_SIZE_QUANT_DIM + start_mx_scale_quant = quant_block * BLOCK_SIZE_QUANT_MX_SCALE + start_mx_quant = quant_block * BLOCK_SIZE_QUANT_MX_TENSOR + start_out = outer_block * BLOCK_SIZE_OUT_DIM + + src_ptr += start_src_quant * stride_src_quant + start_out * stride_src_outer + mx_scale_ptr += start_mx_scale_quant * stride_mx_scale_quant + start_out * stride_mx_scale_outer + mx_tensor_ptr += start_mx_quant * stride_mxt_quant + start_out * stride_mxt_outer + + offs_src_quant = tl.arange(0, BLOCK_SIZE_QUANT_DIM)[None, :].to(tl.int64) + offs_mxt_quant = tl.arange(0, BLOCK_SIZE_QUANT_MX_TENSOR)[None, :].to(tl.int64) + offs_scale_quant = tl.arange(0, BLOCK_SIZE_QUANT_MX_SCALE)[None, :].to(tl.int64) + offs_outer = tl.arange(0, BLOCK_SIZE_OUT_DIM)[:, None].to(tl.int64) + + mask_src_quant = start_src_quant + offs_src_quant < quant_dim + mask_n = start_out + offs_outer < outer_dim + full_mask_src = mask_src_quant & mask_n + + mask_mxt_quant = start_mx_quant + offs_mxt_quant < tl.cdiv(quant_dim, K_DIVISOR) + full_mask_mxt = mask_mxt_quant & mask_n + + scale_mask_k = start_mx_scale_quant + offs_scale_quant < tl.cdiv(quant_dim, MXFP_BLOCK_SIZE) + full_scale_mask = scale_mask_k & mask_n + + src_tensor_offsets = offs_src_quant * stride_src_quant + offs_outer * stride_src_outer + mx_scale_offsets = offs_scale_quant * stride_mx_scale_quant + offs_outer * stride_mx_scale_outer + mx_tensor_offsets = offs_mxt_quant * stride_mxt_quant + offs_outer * stride_mxt_outer + src_tensor = tl.load(src_ptr + src_tensor_offsets, mask=full_mask_src) + + out_tensor, scale_tensor = _compute_quant_and_scale(src_tensor, full_mask_src, mx_tensor_dtype, + DEQUANT_SCALE_ROUNDING_MODE) + + tl.store(mx_scale_ptr + mx_scale_offsets, scale_tensor, mask=full_scale_mask) + tl.store(mx_tensor_ptr + mx_tensor_offsets, out_tensor, mask=full_mask_mxt) + + +@triton.jit(repr=lambda _: "_dequantize_mxfp8") +def _quantize_mxfp8_fn(input, mask, pid=None): + return _compute_quant_and_scale(input, mask, tl.float8e4nv) diff --git a/triton_kernels/numerics_details/mxfp_details/_upcast_from_mxfp.py b/triton_kernels/numerics_details/mxfp_details/_upcast_from_mxfp.py new file mode 100644 index 000000000000..58e368972b8b --- /dev/null +++ b/triton_kernels/numerics_details/mxfp_details/_upcast_from_mxfp.py @@ -0,0 +1,129 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/numerics_details/mxfp_details/_upcast_from_mxfp.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + +from ._downcast_to_mxfp import MXFP_BLOCK_SIZE + + +# fmt: off +@triton.jit +def _upcast_from_mxfp(out_ptr, stride_o_outer, stride_o_quant: tl.constexpr, mx_scale_ptr, stride_scale_outer, + stride_scale_quant, mx_tensor_ptr, stride_tensor_outer, stride_tensor_quant: tl.constexpr, + outer_dim, quant_dim, BLOCK_SIZE_OUT_DIM: tl.constexpr, BLOCK_SIZE_QUANT_DIM: tl.constexpr): + + tl.static_assert(stride_o_quant == 1, "the weight must be contiguous in the k dimension for mx") + tl.static_assert(BLOCK_SIZE_QUANT_DIM % MXFP_BLOCK_SIZE == 0, "BLOCK_SIZE_K must be a multiple of 32") + # uint8 signifies two fp4 e2m1 values packed into a single byte + mx_tensor_dtype: tl.constexpr = mx_tensor_ptr.dtype.element_ty + dst_dtype: tl.constexpr = out_ptr.dtype.element_ty + tl.static_assert(dst_dtype == tl.float16 or dst_dtype == tl.bfloat16 or dst_dtype == tl.float32) + tl.static_assert( + mx_tensor_dtype == tl.uint8 + or ((mx_tensor_dtype == tl.float8e4nv or mx_tensor_dtype == tl.float8e5) or mx_tensor_dtype == dst_dtype), + "mx_tensor_ptr must be uint8 or float8 or dst_dtype") + tl.static_assert(mx_scale_ptr.dtype.element_ty == tl.uint8, "mx_scale_ptr must be uint8") + + # Determine if we are dealing with fp8 types. + is_fp4: tl.constexpr = mx_tensor_dtype == tl.uint8 + is_fp8: tl.constexpr = mx_tensor_dtype == tl.float8e4nv or mx_tensor_dtype == tl.float8e5 + K_DIVISOR: tl.constexpr = 2 if is_fp4 else 1 + BLOCK_SIZE_QUANT_MX_SCALE: tl.constexpr = BLOCK_SIZE_QUANT_DIM // MXFP_BLOCK_SIZE + BLOCK_SIZE_QUANT_MX_TENSOR: tl.constexpr = BLOCK_SIZE_QUANT_DIM // K_DIVISOR + + # Compute starting indices for the quantized (packed) dimension and the outer dimension. + outer_block = tl.program_id(0).to(tl.int64) + quant_block = tl.program_id(1).to(tl.int64) + + start_mxt_quant = quant_block * BLOCK_SIZE_QUANT_MX_TENSOR + start_out_quant = quant_block * BLOCK_SIZE_QUANT_DIM + start_mx_scale_quant = quant_block * BLOCK_SIZE_QUANT_MX_SCALE + start_out = outer_block * BLOCK_SIZE_OUT_DIM + + mx_tensor_ptr += start_mxt_quant * stride_tensor_quant + start_out * stride_tensor_outer + mx_scale_ptr += start_mx_scale_quant * stride_scale_quant + start_out * stride_scale_outer + out_ptr += start_out * stride_o_outer + start_out_quant * stride_o_quant + + # Compute offsets and masks. + offs_src_quant = tl.arange(0, BLOCK_SIZE_QUANT_MX_TENSOR)[None, :].to(tl.int64) + offs_out_quant = tl.arange(0, BLOCK_SIZE_QUANT_DIM)[None, :].to(tl.int64) + offs_outer = tl.arange(0, BLOCK_SIZE_OUT_DIM)[:, None].to(tl.int64) + offs_scale = tl.arange(0, BLOCK_SIZE_QUANT_MX_SCALE)[None, :].to(tl.int64) + + mask_outer = start_out + offs_outer < outer_dim + mask_out_quant = start_out_quant + offs_out_quant < quant_dim + full_mask_out = mask_out_quant & mask_outer + + mask_src_quant = start_mxt_quant + offs_src_quant < tl.cdiv(quant_dim, K_DIVISOR) + full_mask_src = mask_src_quant & mask_outer + + mask_scale = start_mx_scale_quant + offs_scale < tl.cdiv(quant_dim, MXFP_BLOCK_SIZE) + full_scale_mask = mask_scale & mask_outer + + tensor_offsets = offs_src_quant * stride_tensor_quant + offs_outer * stride_tensor_outer + scale_offsets = offs_scale * stride_scale_quant + offs_outer * stride_scale_outer + out_offsets = offs_out_quant * stride_o_quant + offs_outer * stride_o_outer + + # Load the packed tensor and scale. + tensor = tl.load(mx_tensor_ptr + tensor_offsets, mask=full_mask_src) + scale = tl.load(mx_scale_ptr + scale_offsets, mask=full_scale_mask) + + # Upcast the scale to the destination type. + if dst_dtype == tl.bfloat16: + dst_scale = (scale.to(tl.uint16) << 7).to(dst_dtype, bitcast=True) + else: + dst_scale = (scale.to(tl.uint32) << 23).to(tl.float32, bitcast=True) + if dst_dtype == tl.float16: + dst_scale = dst_scale.to(tl.float16) + + # Now upcast the tensor. + intermediate_dtype: tl.constexpr = tl.bfloat16 if dst_dtype == tl.float32 else dst_dtype + if is_fp8: + dst_tensor = tensor.to(intermediate_dtype) + if tensor.dtype == tl.float8e5: + from_e_bits: tl.constexpr = 5 + from_m_bits: tl.constexpr = 2 + to_e_bits: tl.constexpr = 8 if intermediate_dtype == tl.bfloat16 else 5 + to_m_bits: tl.constexpr = 7 if intermediate_dtype == tl.bfloat16 else 10 + + # Preserve infs and nans. FIXME Fp8E5M2_to_Bf16 doesn't preserve them! + non_finite_mask_src: tl.constexpr = ((1 << from_e_bits) - 1) << from_m_bits + non_finite_mask_dst: tl.constexpr = ((1 << to_e_bits) - 1) << to_m_bits + dst_tensor = tl.where( + (tensor.to(tl.uint8, bitcast=True) & non_finite_mask_src) == non_finite_mask_src, + (dst_tensor.to(tl.uint16, bitcast=True) | non_finite_mask_dst).to(intermediate_dtype, bitcast=True), + dst_tensor, + ) + else: + assert is_fp4 + dst_bias: tl.constexpr = 127 if intermediate_dtype == tl.bfloat16 else 15 + dst_0p5: tl.constexpr = 16128 if intermediate_dtype == tl.bfloat16 else 0x3800 + dst_m_bits: tl.constexpr = 7 if intermediate_dtype == tl.bfloat16 else 10 + # e2m1 + em0 = tensor & 0x07 + em1 = tensor & 0x70 + x0 = (em0.to(tl.uint16) << (dst_m_bits - 1)) | ((tensor & 0x08).to(tl.uint16) << 12) + x1 = (em1.to(tl.uint16) << (dst_m_bits - 5)) | ((tensor & 0x80).to(tl.uint16) << 8) + # Three cases: + # 1) x is normal and non-zero: Correct bias + x0 = tl.where((em0 & 0x06) != 0, x0 + ((dst_bias - 1) << dst_m_bits), x0) + x1 = tl.where((em1 & 0x60) != 0, x1 + ((dst_bias - 1) << dst_m_bits), x1) + # 2) x is subnormal (x == 0bs001 where s is the sign): Map to +-0.5 in the dst type + x0 = tl.where(em0 == 0x01, dst_0p5 | (x0 & 0x8000), x0) + x1 = tl.where(em1 == 0x10, dst_0p5 | (x1 & 0x8000), x1) + # 3) x is zero, do nothing + dst_tensor = tl.interleave(x0, x1).to(intermediate_dtype, bitcast=True) + dst_tensor = dst_tensor.to(dst_dtype) + + # Reshape for proper broadcasting: the scale was stored with a 32‐sized “inner” grouping. + dst_tensor = dst_tensor.reshape([BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_MX_SCALE, MXFP_BLOCK_SIZE]) + dst_scale = dst_scale.reshape([BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_MX_SCALE, 1]) + scale = scale.reshape(dst_scale.shape) + + out_tensor = dst_tensor * dst_scale + # Correct any NaNs encoded via the scale. + out_tensor = tl.where(scale == 0xFF, float("nan"), out_tensor) + out_tensor = out_tensor.reshape([BLOCK_SIZE_OUT_DIM, BLOCK_SIZE_QUANT_DIM]) + tl.store(out_ptr + out_offsets, out_tensor, mask=full_mask_out) diff --git a/triton_kernels/proton_opts.py b/triton_kernels/proton_opts.py new file mode 100644 index 000000000000..befa2f6ce267 --- /dev/null +++ b/triton_kernels/proton_opts.py @@ -0,0 +1,21 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/proton_opts.py +# Triton is licensed under the MIT License. + +# proton options + +import os + +_launch_metadata_allow_sync = None + + +def launch_metadata_allow_sync(): + global _launch_metadata_allow_sync + if _launch_metadata_allow_sync is None: + _launch_metadata_allow_sync = not (os.getenv("PROTON_LAUNCH_METADATA_NOSYNC") == "1") + return _launch_metadata_allow_sync + + +def set_launch_metadata_allow_sync(allow_sync: bool): + global _launch_metadata_allow_sync + _launch_metadata_allow_sync = allow_sync diff --git a/triton_kernels/reduction_details/__init__.py b/triton_kernels/reduction_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/reduction_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/reduction_details/reduce_bitmatrix.py b/triton_kernels/reduction_details/reduce_bitmatrix.py new file mode 100644 index 000000000000..4f84e73ac08f --- /dev/null +++ b/triton_kernels/reduction_details/reduce_bitmatrix.py @@ -0,0 +1,115 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/reduction_details/reduce_bitmatrix.py +# Triton is licensed under the MIT License. + +import torch +import triton +import triton.language as tl + + +@triton.jit +def vpopc(x): + """ + Vertical popcount + Input x : uint32[..., N] + Output y : uint32[..., 32] + semantics : y[..., i] = sum_j((x[..., j] >> i) & 1) + credits: @apgoucher + """ + + tl.static_assert(x.dtype == tl.uint32, "x should consist of 32-bit unsigned integers") + + BLOCK_N: tl.constexpr = x.shape[-1] # summation axis + BATCHES: tl.constexpr = x.numel // BLOCK_N # number of batches + if BLOCK_N >= 8: + sa1: tl.constexpr = 8 + else: + sa1: tl.constexpr = BLOCK_N + # create 8-way sums in 4-bit fields: + y = tl.reshape(x, [BATCHES, BLOCK_N // sa1, sa1, 1]) + y = (y >> tl.arange(0, 4)[None, None, None, :]) & 0x11111111 + y = tl.sum(y, 2) # [BATCHES, BLOCK_N // sa1, 4] + if BLOCK_N >= 128: + sa2: tl.constexpr = 16 + else: + sa2: tl.constexpr = BLOCK_N // sa1 + # create 128-way sums in 8-bit fields: + y = tl.reshape(y, [BATCHES, BLOCK_N // (sa1 * sa2), sa2, 1, 4]) + y = (y >> (4 * tl.arange(0, 2))[None, None, None, :, None]) & 0x0f0f0f0f + y = tl.sum(y, 2) # [BATCHES, BLOCK_N // (sa1 * sa2), 2, 4] + sa3: tl.constexpr = BLOCK_N // (sa1 * sa2) + # create N-way sums in 32-bit fields: + y = tl.reshape(y, [BATCHES, 1, sa3, 8]) + y = (y >> (8 * tl.arange(0, 4))[None, :, None, None]) & 0x000000ff + y = tl.sum(y, 2) # [BATCHES, 4, 8] + y = tl.reshape(y, x.shape[:-1] + [32]) + return y + + +@triton.jit +def _sum_bitmatrix_memset(Ret, BLOCK: tl.constexpr): + pid = tl.program_id(0) + offs = pid * BLOCK + tl.arange(0, BLOCK) + tl.store(Ret + offs, 0) + + +@triton.jit +def _sum_bitmatrix_rows(B, shape_bm, stride_bm: tl.constexpr, stride_bn: tl.constexpr, # input bitmatrix + Ret, Partials, stride_pm: tl.constexpr, stride_pn, shape_pn, # outputs + BLOCK_MM: tl.constexpr, BLOCK_M: tl.constexpr): + + tl.static_assert(BLOCK_MM % BLOCK_M == 0) + TILE_SIZE: tl.constexpr = BLOCK_MM // BLOCK_M + if isinstance(shape_bm, tl.tensor) and shape_bm.dtype.is_ptr(): + shape_bm = tl.load(shape_bm) + pid_m = tl.program_id(0) + pid_n = tl.program_id(1) + offs_m = pid_m * BLOCK_MM + tl.arange(0, BLOCK_MM) + offs_n = pid_n * 32 + tl.arange(0, 32) + n_rows = shape_bm + bits = tl.load(B + pid_n * stride_bn + offs_m * stride_bm, mask=offs_m < n_rows, other=0) + bits = tl.reshape(bits, [TILE_SIZE, BLOCK_M]) + ret = vpopc(bits) # [TILE_SIZE, 32] + + offs_t = pid_m * TILE_SIZE + tl.arange(0, TILE_SIZE) + + tl.atomic_add(Ret + offs_n, tl.sum(ret, 0), sem="relaxed") + tl.store(Partials + offs_t[:, None] * stride_pm + offs_n[None, :] * stride_pn, ret) + + +def clear_sums(n_cols, device, MEMSET_BLOCK=512): + cdiv = triton.cdiv + blocks = cdiv(n_cols, MEMSET_BLOCK) + out_ret = torch.empty((blocks * MEMSET_BLOCK, ), device=device, dtype=torch.int32) + _sum_bitmatrix_memset[(blocks, )](out_ret, MEMSET_BLOCK) + return out_ret + + +def sum_bitmatrix_rows(x, out_ret, partials_block_size=None): + assert partials_block_size is not None + cdiv = triton.cdiv + PARTIALS_BLOCK_M = partials_block_size + n_rows, n_cols = x.shape + n_rows_max = x.shape_max[0] + assert out_ret.shape == (n_cols, ) + + TILE_SIZE = max(1, 128 // PARTIALS_BLOCK_M) + BLOCK_MM = PARTIALS_BLOCK_M * TILE_SIZE + + pids_x = cdiv(n_rows_max, BLOCK_MM) + pids_y = cdiv(n_cols, 32) + out_partials = torch.empty((pids_y * 32, pids_x * TILE_SIZE), device=out_ret.device, dtype=torch.int32) + out_partials = torch.transpose(out_partials, 0, 1) + + # output tensors + _sum_bitmatrix_rows[(pids_x, pids_y)]( + x.storage.data, n_rows, x.stride(0), x.stride(1), # input + out_ret, # output [final reduction] + out_partials, out_partials.stride(0), out_partials.stride(1), + out_partials.shape[1], # output [partial reductions] + BLOCK_M=PARTIALS_BLOCK_M, BLOCK_MM=BLOCK_MM, # constants + num_warps=8) + + out_partials = out_partials[:cdiv(n_rows_max, PARTIALS_BLOCK_M), :] + + return out_ret, out_partials diff --git a/triton_kernels/routing.py b/triton_kernels/routing.py new file mode 100644 index 000000000000..f59a6a001a2c --- /dev/null +++ b/triton_kernels/routing.py @@ -0,0 +1,396 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/routing.py +# Triton is licensed under the MIT License. + +import torch +import triton +from dataclasses import dataclass, field +from .routing_details._routing_compute import _combined_routing_compute +from .routing_details._routing_compute import _combined_routing_memset +from .routing_details._routing_compute import _routing_clear_bitmatrix +from .routing_details._expt_data import _expt_data_memset +from .routing_details._expt_data import _expt_data_compute +from .target_info import is_hip + + +@dataclass +class GatherIndx: + """ + Indices for an operation that performs: + Y = X[src_idx, :] + """ + # array such that `dst_idx[src_idx] = arange(0, N)` + src_indx: torch.Tensor + dst_indx: torch.Tensor + + +@dataclass +class ScatterIndx: + """ + Indices for an operation that performs: + Y[dst_idx, :] = X + """ + # array such that `dst_idx[src_idx] = arange(0, N)` + src_indx: torch.Tensor + dst_indx: torch.Tensor + + +@dataclass +class ExptData: + # hist[i] is the number of tokens routed to expert i + hist: torch.Tensor + # token_offs_raw[i] is the offset of the first token routed + # to expert i in an expert-sorted array + token_offs_raw: torch.Tensor + # token_offs_pad[block][i] is the offset of the first token routed + # to expert i in an expert-sorted array, assuming histogram + # rounded to the next multiple of `block` + token_offs_pad: dict[int, torch.Tensor] + # block_id_map[block] contain one value for each `pid`` launched by + # the matrix multiplication kernel launched with BLOCK_M=block: + # - the value is -1 if the `pid` has no work to do + # - otherwise, the value is two int16 (packed as an int32) that + # correspond respectively to (1) the expert assigned to + # the tokens processed by this pid; (2) the block assigned to the + # tokens processed by this pid (think `pid_m` in a regular matmul) + # see `test_routing.py` for a reference implementation and more details + block_pid_map: dict[int, torch.Tensor] + + def __post_init__(self): + if self.hist is not None: + assert self.hist.dtype == torch.int32 + if self.token_offs_raw is not None: + assert self.token_offs_raw.dtype == torch.int32 + if self.token_offs_pad is not None: + for v in self.token_offs_pad.values(): + assert v.dtype == torch.int32 + if self.block_pid_map is not None: + for v in self.block_pid_map.values(): + assert v.dtype == torch.int32 + + +@dataclass +class RoutingData: + gate_scal: torch.Tensor = field() + expt_hist: torch.Tensor = field() + n_expts_tot: int = field() + n_expts_act: int = field() + expt_data: ExptData = None + + # Used to make perf annotation cleaner: when we use expert sharding, we can + # use this to tell the "expected" number of local tokens per expert, because + # the actual number can vary per each input. + expected_tokens_per_expt: int = field(default=None) + + def n_blocks(self, n_rows, block_m): + if n_rows <= self.n_expts_tot: + return n_rows + else: + return triton.cdiv(max(n_rows - self.n_expts_tot + 1, 0), block_m) + self.n_expts_tot - 1 + + +# -------------------------- +# sort tokens by expert +# -------------------------- + + +class SortTokens(torch.autograd.Function): + + @staticmethod + def forward(ctx, expt_scal, expt_indx, n_expts_tot, bitmatrix): + HIST_BLOCK_M = 32 + INDX_OFFS_BLOCK_M = 512 + MEMSET_BLOCK = 1024 + cdiv = triton.cdiv + + device = expt_scal.device + dtype = expt_scal.dtype + n_tokens_raw, _ = bitmatrix.shape + n_tokens_pad, n_expts_act = expt_scal.shape + n_gates_pad = n_tokens_pad * n_expts_act + + hist, partial_hist = bitmatrix.sum(partials_block_size=HIST_BLOCK_M) + hist = hist[:n_expts_tot] + assert hist.dtype == torch.int32 + # scratchpad + expt_offs = torch.empty(n_expts_tot, dtype=torch.int32, device=device) + combined_indx = torch.empty(n_gates_pad * 2, dtype=torch.int32, device=device) + # output + topk_indx = combined_indx[:n_gates_pad] + gate_indx = combined_indx[n_gates_pad:] + gate_scal = torch.empty(n_gates_pad, dtype=dtype, device=device) + + token_offs_combined, token_offs_raw, token_offs_pad, block_pid_map, blocks1a, blocks2a, MEMSET_BLOCK_A, HIST2_BLOCK_M, block_m_log2_start, block_m_num = _compute_expt_data_internal( + hist, n_expts_tot, n_gates_pad) + + blocks1b = cdiv(n_gates_pad * 2, MEMSET_BLOCK) + n_expts_tot + 1 + blocks2b = cdiv(n_tokens_pad, HIST_BLOCK_M) + + _combined_routing_memset[(blocks1a + blocks1b, )]( + combined_indx, n_gates_pad * 2, -1, MEMSET_BLOCK, hist, # + expt_offs, hist.shape[0], n_expts_tot, partial_hist, # inputs + partial_hist.shape[0], partial_hist.stride(0), partial_hist.stride(1), # outputs + token_offs_combined, token_offs_combined.stride(0), # + blocks1a, block_pid_map, # + block_m_log2_start, SIZES=block_m_num, BLOCK_A=MEMSET_BLOCK_A, # optimization parameters + BLOCK_N=512, BLOCK_M=INDX_OFFS_BLOCK_M, # tunable parameters + ) + + indx_offs = partial_hist + + _combined_routing_compute[(blocks2a + blocks2b, )]( + topk_indx, gate_indx, gate_scal, # outputs + expt_scal, expt_indx, indx_offs, indx_offs.stride(0), indx_offs.stride(1), # inputs + expt_offs, n_tokens_raw, # input shape + HIST_BLOCK_M, n_expts_act, # constants + hist, token_offs_pad, token_offs_pad.stride(0), block_pid_map, block_pid_map.stride(0), # outputs + block_m_log2_start, block_m_num, HIST2_BLOCK_M, blocks2a, # etc. + ) + + ctx.n_tokens_raw = n_tokens_raw + ctx.n_tokens_pad = n_tokens_pad + ctx.n_expts_act = n_expts_act + ctx.save_for_backward(gate_indx) + return hist, topk_indx, gate_indx, gate_scal, token_offs_raw, token_offs_pad, block_pid_map + + @staticmethod + def backward(ctx, _0, _1, _2, dgate_scal, _3, _4, _5): + (gate_indx, ) = ctx.saved_tensors + dgate_scal = dgate_scal[gate_indx] + dgate_scal = dgate_scal.reshape(ctx.n_tokens_pad, ctx.n_expts_act) + return dgate_scal, None, None, None + + +def sort_tokens(expt_scal, expt_indx, n_expts_tot, bitmatrix): + return SortTokens.apply(expt_scal, expt_indx, n_expts_tot, bitmatrix) + + +# -------------------------- +# prune routing +# -------------------------- + + +class PruneRouting(torch.autograd.Function): + + @staticmethod + def forward(ctx, expt_scal, expt_indx, bitmatrix, n_expts_tot, simulated_ep): + from .compaction import compaction + n_tokens_pad = expt_scal.shape[0] + assert n_expts_tot % simulated_ep == 0 + _routing_clear_bitmatrix[(n_tokens_pad, )]( + bitmatrix.storage.data, + bitmatrix.storage.data.stride(0), + bitmatrix.storage.data.stride(1), + bitmatrix.storage.data.shape[1], + n_expts_tot // simulated_ep, + BLOCK_N=512, + ) + # perform compaction to update expt_scal / expt_indx + expt_scal, expt_indx = compaction(expt_scal, expt_indx, bitmatrix) + n_expts_tot = n_expts_tot // simulated_ep + bitmatrix.shape[-1] = n_expts_tot + return expt_scal, expt_indx, bitmatrix + + +def prune_routing(expt_scal, expt_indx, bitmatrix, n_expts_tot, simulated_ep): + return PruneRouting.apply(expt_scal, expt_indx, bitmatrix, n_expts_tot, simulated_ep) + + +# -------------------------- +# expt_data +# -------------------------- + + +def log2_power_of_two(x): + assert x > 0 and (x & (x - 1)) == 0, "x must be a power of two" + return x.bit_length() - 1 + + +block_m_log2_start = 4 + + +def _compute_expt_data_internal(expt_hist, n_expts_tot, n_gates): + + MEMSET_BLOCK = 512 + HIST2_BLOCK_M = 512 + device = expt_hist.device + n_expts_tot = n_expts_tot + cdiv = triton.cdiv + # block_ms are all powers-of-two between 16 and 128 (inclusive) + block_m_log2_end = 9 if is_hip() else 8 + block_m_num = block_m_log2_end - block_m_log2_start + if n_gates <= n_expts_tot: + max_n_tiles = n_gates + else: + max_n_tiles = n_expts_tot - 1 - ((n_expts_tot - n_gates - 1) // 2**block_m_log2_start) + # allocate memory + pad = lambda x: cdiv(x, MEMSET_BLOCK) * MEMSET_BLOCK + dtype = torch.int32 + + token_offs_combined = torch.empty((block_m_num + 1, pad(n_expts_tot + 1)), dtype=dtype, device=device) + + token_offs_raw = token_offs_combined[0][:n_expts_tot + 1] + token_offs_pad = token_offs_combined[1:] + + block_pid_map = torch.empty((block_m_num, pad(max_n_tiles)), dtype=dtype, device=device) + memset_grid = torch.numel(block_pid_map) // MEMSET_BLOCK # exact division + # compute outputs + token_offs_pad = token_offs_pad[:, :n_expts_tot + 1] + block_pid_map = block_pid_map[:, :max_n_tiles] + + blocks1 = memset_grid + block_m_num + 1 + blocks2 = n_expts_tot * block_m_num + return token_offs_combined, token_offs_raw, token_offs_pad, block_pid_map, blocks1, blocks2, MEMSET_BLOCK, HIST2_BLOCK_M, block_m_log2_start, block_m_num + + +def _unpack_into_dict(x): + + block_m_log2_end = block_m_log2_start + x.shape[0] + x = {2**j: x[i, :] for i, j in enumerate(range(block_m_log2_start, block_m_log2_end))} + return x + + +def compute_expt_data(expt_hist, n_expts_tot, n_gates): + + if expt_hist is None: + return ExptData(None, None, None, None) + + # this just computes the kernel arguments: + token_offs_combined, token_offs_raw, token_offs_pad, block_pid_map, blocks1, blocks2, MEMSET_BLOCK, HIST2_BLOCK_M, block_m_log2_start, block_m_num = _compute_expt_data_internal( + expt_hist, n_expts_tot, n_gates) + + _expt_data_memset[(blocks1, )]( + expt_hist, n_expts_tot, # + token_offs_combined, token_offs_combined.stride(0), # + block_pid_map, # + block_m_log2_start, SIZES=block_m_num, BLOCK=MEMSET_BLOCK, # optimization parameters + num_warps=4) + _expt_data_compute[(blocks2, )]( + expt_hist, token_offs_pad, token_offs_pad.stride(0), block_pid_map, block_pid_map.stride(0), # outputs + block_m_log2_start, SIZES=block_m_num, BLOCK=HIST2_BLOCK_M, # optimization parameters + num_warps=4) + + token_offs_pad = _unpack_into_dict(token_offs_pad) + block_pid_map = _unpack_into_dict(block_pid_map) + return ExptData(expt_hist, token_offs_raw, token_offs_pad, block_pid_map) + + +# -------------------------- +# routing +# -------------------------- + + +def routing_from_bitmatrix(bitmatrix, expt_scal, expt_indx, n_expts_tot, n_expts_act): + hist, topk_indx, gate_indx, gate_scal, token_offs_raw, token_offs_pad, block_pid_map = sort_tokens( + expt_scal, expt_indx, n_expts_tot, bitmatrix) + token_offs_pad = _unpack_into_dict(token_offs_pad) + block_pid_map = _unpack_into_dict(block_pid_map) + expt_data = ExptData(hist, token_offs_raw, token_offs_pad, block_pid_map) + + # pack the matmul data structure + gather_indx = GatherIndx(src_indx=topk_indx, dst_indx=gate_indx) + scatter_indx = ScatterIndx(src_indx=gate_indx, dst_indx=topk_indx) + return RoutingData(gate_scal, hist, n_expts_tot, n_expts_act, expt_data), gather_indx, scatter_indx + + +def routing(logits, n_expts_act, sm_first=False, expt_indx=None, simulated_ep=1, n_rows=None): + from .topk import topk + if sm_first: + logits = torch.softmax(logits, dim=-1) + expt_scal, expt_indx, bitmatrix = topk(logits, n_expts_act, # + apply_softmax=not sm_first, y_indx=expt_indx, n_rows=n_rows) + n_expts_tot = logits.shape[-1] // simulated_ep + # mutate bitmatrix + if simulated_ep > 1: + expt_scal, expt_indx, bitmatrix = prune_routing(expt_scal, expt_indx, bitmatrix, logits.shape[-1], simulated_ep) + + return routing_from_bitmatrix(bitmatrix, expt_scal, expt_indx, n_expts_tot, n_expts_act) + + +# -------------------------- +# torch reference +# -------------------------- + + +def compute_expt_data_torch(hist, n_expts_tot, n_gates): + # offset for each experts + device = hist.device + token_offs_raw = torch.cumsum(hist, dim=0) + token_offs_raw = torch.cat((torch.zeros(1, device=device), token_offs_raw)) + token_offs_raw = token_offs_raw.int() + # maximum number of tiles for all values of `block_m` considered + block_ms = [16, 32, 64, 128] + if is_hip(): + block_ms.append(256) + if n_gates <= n_expts_tot: + max_n_tiles = n_gates + else: + # ceil_div(n_gates - n_experts + 1, d_tile) + n_experts - 1 + # ceil_div(x, y): -(-x // y) + max_n_tiles = n_expts_tot - 1 - ((n_expts_tot - n_gates - 1) // min(block_ms)) + # fill up tile offset/infos for each block + token_offs_pad = dict() + block_pid_map = dict() + for block_m in block_ms: + n_tiles = (hist + block_m - 1) // block_m # matmul blocks needed + token_offs_pad[block_m] = torch.cumsum(n_tiles, dim=0) + token_offs_pad[block_m] = torch.cat((torch.zeros(1, device=device), token_offs_pad[block_m])) + token_offs_pad[block_m] = token_offs_pad[block_m].int() + # compute data required to drive ragged batch matmul + block_pid_map[block_m] = -torch.ones(max_n_tiles, dtype=torch.int32, device=device) + + # for e in range(n_expts_tot): + # offset = token_offs_pad[block_m][e] + # for b in range(n_tiles[e]): + # block_pid_map[block_m][offset + b] = (b << 16) + e + + col = torch.arange(max_n_tiles, device=device) + map_vals = torch.arange(n_expts_tot, device=device)[:, None] + (col << 16)[None, :] + map_idxs = token_offs_pad[block_m][:-1, None] + col[None, :] + mask = col[None, :] < n_tiles[:, None] + block_pid_map[block_m].index_put_((map_idxs[mask], ), map_vals.int()[mask]) + return ExptData(hist, token_offs_raw, token_offs_pad, block_pid_map) + + +def topk_torch(vals, k, expt_indx, has_user_provided_indx=False): + # topk of experts + if has_user_provided_indx: + tk_indx = expt_indx + else: + tk_indx = torch.argsort(-vals, dim=1, stable=True)[:, :k] + tk_indx = tk_indx.long() + tk_val = torch.take_along_dim(vals, tk_indx, dim=1) + tk_indx = tk_indx.int() + return tk_val, tk_indx + + +def routing_torch(logits, n_expts_act, sm_first=False, expt_indx=None, n_rows=None): + has_user_provided_indx = expt_indx is not None + n_gates_pad = logits.shape[0] * n_expts_act + + if n_rows is not None: + logits = logits[:n_rows, :] + _, n_expts_tot = logits.shape + if sm_first: + logits = torch.softmax(logits, dim=-1) + expt_scal, expt_indx = topk_torch(logits, n_expts_act, expt_indx, has_user_provided_indx=has_user_provided_indx) + if not sm_first: + expt_scal = torch.softmax(expt_scal, dim=-1) + # sort each token's selections by expert + if not has_user_provided_indx: + expt_indx, sort_indices = torch.sort(expt_indx, dim=1) + expt_scal = torch.gather(expt_scal, 1, sort_indices) + # flatten topk data + expt_scal = expt_scal.reshape(-1) + expt_indx = expt_indx.reshape(-1).to(torch.int32) + # sort by expert_id so experts are contiguous for the matmul + topk_indx = torch.argsort(expt_indx, stable=True) + gate_indx = torch.argsort(topk_indx, stable=True) + gate_scal = expt_scal[topk_indx] + hist = torch.histc(expt_indx, bins=n_expts_tot, max=n_expts_tot - 1).int() # histogram of tokens over experts + # pack the matmul data structure + gather_indx = GatherIndx(src_indx=topk_indx.int(), dst_indx=gate_indx.int()) + scatter_indx = ScatterIndx(src_indx=gate_indx.int(), dst_indx=topk_indx.int()) + # compute expt_data + expt_data = compute_expt_data_torch(hist, n_expts_tot, n_gates_pad) + return RoutingData(gate_scal, hist, n_expts_tot, n_expts_act, expt_data), gather_indx, scatter_indx diff --git a/triton_kernels/routing_details/__init__.py b/triton_kernels/routing_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/routing_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/routing_details/_expt_data.py b/triton_kernels/routing_details/_expt_data.py new file mode 100644 index 000000000000..d5b736a3747b --- /dev/null +++ b/triton_kernels/routing_details/_expt_data.py @@ -0,0 +1,68 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/routing_details/_expt_data.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + + +@triton.jit +def _cdiv_pow2(n, log2_k): + return (n + ((1 << log2_k) - 1)) >> log2_k + + +@triton.jit +def _expt_data_memset(Hist, n_expts_tot, MDStarts, tile_starts_stridem, MDTileInfo, first_tile_dim_log2, + SIZES: tl.constexpr, BLOCK: tl.constexpr): + + pid = tl.program_id(0) + + if pid <= SIZES: + + MDStarts += pid * tile_starts_stridem + x_tile = tl.zeros([BLOCK], dtype=MDStarts.dtype.element_ty) + Tile_ptrs = MDStarts + tl.arange(0, BLOCK) + tile_dim_log2 = tl.where(pid == 0, 0, pid + first_tile_dim_log2 - 1) + + for i in range(0, n_expts_tot + 1, BLOCK): + + offs_n = tl.arange(0, BLOCK) + i + mask_n0 = offs_n < n_expts_tot + hist_tok = tl.load(Hist + offs_n, mask=mask_n0, other=0) + hist_tile = _cdiv_pow2(hist_tok, tile_dim_log2) + + tile_starts = tl.cumsum(hist_tile, 0) + x_tile + x_tile += tl.sum(hist_tile, 0).to(MDStarts.dtype.element_ty) + tl.store(Tile_ptrs, tile_starts - hist_tile) + Tile_ptrs += BLOCK + + else: + + pid -= (SIZES + 1) + TileInfoOut = MDTileInfo + pid * BLOCK + tl.arange(0, BLOCK) + tl.store(TileInfoOut, 0xffffffff) + + +@triton.jit +def _expt_data_compute(Hist, MDTileStarts, tile_starts_stridem, MDTileInfo, tile_info_stridem, first_tile_dim_log2, + SIZES: tl.constexpr, BLOCK: tl.constexpr): + + pid = tl.program_id(0) + + expt_id = pid // SIZES + buff_id = pid % SIZES + + MDTileStarts += buff_id * tile_starts_stridem + MDTileInfo += buff_id * tile_info_stridem + + n_tokens = tl.load(Hist + expt_id) + tile_dim_log2 = first_tile_dim_log2 + buff_id + n_blocks = _cdiv_pow2(n_tokens, tile_dim_log2) + + tile_off = tl.load(MDTileStarts + expt_id) + MDTileInfo += tile_off + + for block_off in range(0, n_blocks, BLOCK): + block_offs = block_off + tl.arange(0, BLOCK) + data = (block_offs << 16) + expt_id + tl.store(MDTileInfo + block_offs, data, mask=block_offs < n_blocks) diff --git a/triton_kernels/routing_details/_routing_compute.py b/triton_kernels/routing_details/_routing_compute.py new file mode 100644 index 000000000000..595d842878d1 --- /dev/null +++ b/triton_kernels/routing_details/_routing_compute.py @@ -0,0 +1,152 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/routing_details/_routing_compute.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + +from ._expt_data import _expt_data_compute, _expt_data_memset + + +@triton.jit +def _routing_compute_expt_offs(ExpertHist, FinalExpertOffs, hist_size, # histogram + BLOCK_N: tl.constexpr): + loop_iterations = (hist_size + BLOCK_N - 1) // BLOCK_N + x = tl.zeros([BLOCK_N], ExpertHist.dtype.element_ty) + for i in range(loop_iterations): + offs_n = i * BLOCK_N + tl.arange(0, BLOCK_N) + mask_n = offs_n < hist_size + hist2 = tl.load(ExpertHist + offs_n, mask=mask_n) + tok_starts = tl.cumsum(hist2, 0) - hist2 + x + x += tl.sum(hist2, 0) + tl.store(FinalExpertOffs + offs_n, tok_starts, mask=mask_n) + offs_n += BLOCK_N + + +@triton.jit +def _routing_compute_indx_offs(PartialHist, shape_pm, stride_pm, stride_pn, BLOCK_M: tl.constexpr, expt_id): + offs_m = tl.arange(0, BLOCK_M) + # iterate over input data + curr_sum = 0 + for _ in range(0, shape_pm, BLOCK_M): + offs = offs_m * stride_pm + expt_id * stride_pn + curr = tl.load(PartialHist + offs, mask=offs_m < shape_pm) + out = tl.cumsum(curr, 0) + curr_sum + curr_sum += tl.sum(curr, 0) + tl.store(PartialHist + offs, out - curr, mask=offs_m < shape_pm) + offs_m += BLOCK_M + + +@triton.jit +def _keyed_add(x, y): + + # we keep the key in the upper 16 bits of a uint32: + key_mask: tl.constexpr = 0xffff0000 + + kx = x & key_mask + ky = y & key_mask + z = tl.where(kx == ky, x + y - kx, y) + return z + + +@triton.jit +def _routing_compute_indx(pid_m, GatherIndx, ScatterIndx, GateScal, ExptScal, ExptIndx, PartialOffs, stride_pm, + stride_pn, TokensStart, n_tokens, BLOCK_M: tl.constexpr, N_EXPTS_ACT: tl.constexpr): + + if isinstance(n_tokens, tl.tensor) and n_tokens.dtype.is_ptr(): + n_tokens = tl.load(n_tokens) + n_gates = n_tokens * N_EXPTS_ACT + + tl.static_assert(N_EXPTS_ACT * BLOCK_M <= 32768) + + local_offs = tl.arange(0, N_EXPTS_ACT * BLOCK_M) + offs = pid_m * BLOCK_M * N_EXPTS_ACT + local_offs + expert = tl.load(ExptIndx + offs, mask=(offs < n_gates), other=-1).to(tl.uint32) + + # stable-sort by expert ID: + kv_pairs = ((expert << 16) | local_offs).to(tl.uint32) + kv_pairs = tl.sort(kv_pairs, 0) + expert = kv_pairs >> 16 + offs = pid_m * BLOCK_M * N_EXPTS_ACT + (kv_pairs & 0xffff) + mask = expert != 0xffff + gate_scal = tl.load(ExptScal + offs, mask=mask) + + # compute run lengths in expert-sorted order: + x = (kv_pairs & 0xffff0000 | 0x00000001) + expts_and_inclusive_run_lengths = tl.associative_scan(x, 0, _keyed_add) + exclusive_run_lengths = (expts_and_inclusive_run_lengths - 1) & 0xffff + + gates = tl.load(PartialOffs + pid_m * stride_pm + expert * stride_pn, mask=mask) + gates += tl.load(TokensStart + expert, mask=mask) + gates += exclusive_run_lengths + + tl.store(ScatterIndx + offs, gates, mask=mask) + tl.store(GatherIndx + gates, offs, mask=mask) + tl.store(GateScal + gates, gate_scal, mask=mask) + + +@triton.jit +def _combined_routing_compute(GatherIndx, ScatterIndx, GateScal, ExptScal, ExptIndx, PartialOffs, stride_pm, stride_pn, + TokensStart, n_tokens, BLOCK_M: tl.constexpr, N_EXPTS_ACT: tl.constexpr, Hist, + MDTileStarts, tile_starts_stridem, MDTileInfo, tile_info_stridem, first_tile_dim_log2, + SIZES: tl.constexpr, BLOCK: tl.constexpr, blocks2a): + + pid = tl.program_id(0) + if pid < blocks2a: + _expt_data_compute(Hist, MDTileStarts, tile_starts_stridem, MDTileInfo, tile_info_stridem, first_tile_dim_log2, + SIZES, BLOCK) + else: + pid -= blocks2a + _routing_compute_indx(pid, GatherIndx, ScatterIndx, GateScal, ExptScal, ExptIndx, PartialOffs, stride_pm, + stride_pn, TokensStart, n_tokens, BLOCK_M, N_EXPTS_ACT) + + +@triton.jit +def _routing_clear_bitmatrix(Bitmatrix, stride_bm, stride_bn, shape_bn, cutoff, BLOCK_N: tl.constexpr): + pid_m = tl.program_id(0) + cutoff_word = cutoff // 32 + cutoff_bit = cutoff % 32 + cutoff_mask = (1 << (cutoff_bit)) - 1 + for start_n in range(0, shape_bn, BLOCK_N): + offs_n = start_n + tl.arange(0, BLOCK_N) + values = tl.load(Bitmatrix + pid_m * stride_bm + offs_n * stride_bn, mask=offs_n < shape_bn) + values = tl.where(offs_n == cutoff_word, values & cutoff_mask, values) + values = tl.where(offs_n > cutoff_word, 0, values) + tl.store(Bitmatrix + pid_m * stride_bm + offs_n * stride_bn, values, mask=offs_n < shape_bn) + + +@triton.jit +def _combined_routing_memset(Indx, size, sentinel, BLOCK: tl.constexpr, ExpertHist, FinalExpertOffs, hist_size, + n_expts_tot, PartialHist, shape_pm, stride_pm, stride_pn, MDStarts, tile_starts_stridem, + blocks1a, MDTileInfo, first_tile_dim_log2, SIZES: tl.constexpr, BLOCK_A: tl.constexpr, + BLOCK_N: tl.constexpr, BLOCK_M: tl.constexpr): + """ + This kernel essentially combines 6 different pieces of functionality, + statically branching on the value of tl.program_id(0) to decide which + codepath to take. + + pid == 0: create the token cumsum + 1 <= pid <= SIZES: create a tile cumsum + SIZES < pid < blocks1a: initialise MDTileInfo to 0xffffffff + blocks1a <= pid < blocks1a + n_expts_tot: compute_indx_offs + pid == blocks1a + n_expts_tot: compute_expt_offs + pid > blocks1a + n_expts_tot: initialise Indx to sentinel + + As each of these is a relatively trivial workload, launching them from + this single trampoline is beneficial as they can execute on different + streaming multiprocesses in parallel. + """ + + pid = tl.program_id(0) + + if pid < blocks1a: + _expt_data_memset(ExpertHist, n_expts_tot, MDStarts, tile_starts_stridem, MDTileInfo, first_tile_dim_log2, + SIZES, BLOCK_A) + elif pid == n_expts_tot + blocks1a: + _routing_compute_expt_offs(ExpertHist, FinalExpertOffs, hist_size, BLOCK_N) + elif pid < n_expts_tot + blocks1a: + _routing_compute_indx_offs(PartialHist, shape_pm, stride_pm, stride_pn, BLOCK_M, pid - blocks1a) + else: + offs = (pid - n_expts_tot - blocks1a - 1) * BLOCK + tl.arange(0, BLOCK) + mask = offs < size + tl.store(Indx + offs, sentinel, mask=mask) diff --git a/triton_kernels/specialize.py b/triton_kernels/specialize.py new file mode 100644 index 000000000000..9fcb857b29d1 --- /dev/null +++ b/triton_kernels/specialize.py @@ -0,0 +1,139 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/specialize.py +# Triton is licensed under the MIT License. + +import inspect +import re +import textwrap +import types +import triton + + +def cacheable(f): + """ + A decorator that allow you to write something of the form: + + @cacheable + def my_kernel(): return (expression dynamically defining a kernel) + + such that it interacts gracefully with triton cache and preload. + """ + + g = f() + g.fn.__name__ = f.__name__ + g.fn.__module__ = f.__module__ + g.fn.__qualname__ = f.__qualname__ + g.__name__ = f.__name__ + g.__module__ = f.__module__ + g.__qualname__ = f.__qualname__ + g._fn_name = f"{f.__module__}.{f.__qualname__}" + return g + + +def define_kernel(src, module, attrs=None, **extra_globals): + """ + Dynamically create a Triton function or kernel from a src string, + linking any symbols in the kernel to objects specified by extra_globals. + """ + + # create templace function + def _empty_fn(): + pass + + gdict = dict(**(_empty_fn.__globals__)) + gdict.update(extra_globals) + f = types.FunctionType(_empty_fn.__code__, gdict) + f.__module__ = module.__name__ + + src = textwrap.dedent(src) + src = src[src.find("def "):] + + stored_functions = [] + function_name = src[4:].split("(")[0].strip() + + exec_globals = gdict + exec_globals.update({"stored_functions": stored_functions}) + exec(src + "\n\nstored_functions.append(" + function_name + ")\n", exec_globals) + + f.__signature__ = inspect.signature(stored_functions[0]) + f.__name__ = function_name + f.__doc__ = stored_functions[0].__doc__ + + if attrs is None: + attrs = dict() + f = triton.JITFunction(f, **attrs) + f._unsafe_update_src(src) + return f + + +def specialize(fn, module, constants, tuples, name=None, do_not_specialize=tuple()): + assert isinstance(fn, triton.runtime.jit.JITFunction) + if name is None: + name = f"{fn.__name__}" + # Get original source code + src = inspect.getsource(fn.fn) + src = textwrap.dedent(src) + lines = src.split("\n") + # Skip decorator and def line + def_idx = next(i for i, line in enumerate(lines) if line.strip().startswith("def")) + # separate header vs body LOC + header_end = def_idx + while not lines[header_end].rstrip().endswith(":"): + header_end += 1 + body_lines = lines[header_end + 1:] + header_lines = lines[def_idx:header_end + 1] + # clean-up header + header_clean = [ + l.split("#", 1)[0].strip() # keep code, discard comment + for l in header_lines + if l.split("#", 1)[0].strip() # skip blank‑after‑comment lines + ] + # decompose arguments + header_src = " ".join(header_clean) # turn it into a single line + m = re.search(r"\((.*)\)\s*:", header_src) + if not m: + raise ValueError("Could not parse function header") + args_str = m.group(1) + args = [arg.strip() for arg in args_str.split(",") if arg.strip()] + non_specialized_args = [] + for arg in args: + arg_key = arg.split(":")[0].split("=")[0].strip() + new_args = tuples.get(arg_key, [arg]) + if arg_key not in constants: + non_specialized_args += new_args + # add global symbols + spec_fns = {v.__name__: v for k, v in constants.items() if isinstance(v, triton.runtime.jit.JITFunction)} + globals = spec_fns | fn.get_capture_scope() + # build new source code and define kernel dynamically + new_signature = f"def {name}({', '.join(non_specialized_args)}):" + constexpr_lines = [ + f" {key}: tl.constexpr = {value.__name__ if callable(value) else value}" for key, value in constants.items() + ] + tuple_lines = [ + f" {key} = {'(' + ','.join(value) + (',' if len(value)>=1 else '') + ')'}" for key, value in tuples.items() + ] + new_src = "\n".join(["@triton.jit", new_signature] + constexpr_lines + tuple_lines + body_lines) + # find function parameters + sig = inspect.signature(triton.runtime.jit.JITFunction.__init__) + params = list(sig.parameters.values())[2:] + attrs = {param.name: getattr(fn, param.name, param.default) for param in params} + + # make a new repr which appends the repr of the specialized functions. + base_repr = attrs["repr"] + + def new_repr(specialization): + ret = base_repr(specialization) + for spec_fn in spec_fns.values(): + spec_repr = spec_fn.repr(None) + if spec_repr: + spec_repr = spec_repr.strip("_") + if spec_repr: + ret += f"_{spec_repr}" + return ret + + attrs["repr"] = new_repr + + if do_not_specialize: + attrs["do_not_specialize"] = do_not_specialize + ret = define_kernel(new_src, module, attrs, **globals) + return ret diff --git a/triton_kernels/swiglu.py b/triton_kernels/swiglu.py new file mode 100644 index 000000000000..c1baee40f95b --- /dev/null +++ b/triton_kernels/swiglu.py @@ -0,0 +1,104 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/swiglu.py +# Triton is licensed under the MIT License. + +from dataclasses import dataclass +from triton_kernels.numerics import InFlexData, OutFlexData +import torch +import triton +from .swiglu_details._swiglu import _swiglu, _swiglu_fn +from triton_kernels import target_info + + +@dataclass(frozen=True) +class FlexCtx: + out_data: OutFlexData = OutFlexData() + inp_data: InFlexData = InFlexData() + saturate_inf: bool = False + + +@dataclass(frozen=True) +class PrecisionConfig: + limit: float + flex_ctx: FlexCtx = FlexCtx() + + +swiglu_fn = _swiglu_fn + + +class SwiGLU(torch.autograd.Function): + + @staticmethod + def forward(ctx, a, alpha, precision_config, routing_data): + N = a.shape[-1] + M = a.numel() // N + assert a.stride()[-1] == 1 + assert a.shape[-1] % 2 == 0 + out = torch.empty(size=(M, N // 2), dtype=a.dtype, device=a.device) + flex_ctx = precision_config.flex_ctx + # optimization hyperparameters + BLOCK_M, BLOCK_N = 32 // a.itemsize, 128 + num_warps = 4 + kwargs = {'maxnreg': 64} if not target_info.is_hip() else {} + # launch semi-persistent kernel + N_BLOCKS = triton.cdiv(N // 2, BLOCK_N) + num_sms = target_info.num_sms() + if routing_data is not None: + waves_per_sm = 32 if target_info.is_hip() else 128 + num_pid = num_sms * (waves_per_sm // num_warps) + M_BLOCKS = max(1, triton.cdiv(num_pid, N_BLOCKS)) + grid = (min(M_BLOCKS * N_BLOCKS, 4 * num_sms), ) + else: + M_BLOCKS = triton.cdiv(M, BLOCK_M) + if M_BLOCKS * N_BLOCKS >= 8 * num_sms: + grid = (8 * num_sms, ) + else: + grid = (min(M_BLOCKS * N_BLOCKS, 4 * num_sms), ) + n_tokens = None + if routing_data is not None: + n_tokens = routing_data.expt_data.token_offs_raw[routing_data.n_expts_tot] + _swiglu[grid]( + flex_ctx.out_data.reinterpret(out), + flex_ctx.out_data.expected_scale, + flex_ctx.out_data.actual_scale, + flex_ctx.out_data.checksum_scale, + flex_ctx.inp_data.reinterpret(a), + flex_ctx.inp_data.scale, + alpha, + M, + N // 2, + a.shape[-1], + 1, + out.shape[-1], + 1, + precision_config.limit, + n_tokens, + BLOCK_M=BLOCK_M, + BLOCK_N=BLOCK_N, + EVEN_N=(N // 2) % BLOCK_N == 0, + M_BLOCKS=M_BLOCKS, + N_BLOCKS=N_BLOCKS, + flexpoint_saturate_inf=flex_ctx.saturate_inf, + num_warps=num_warps, + **kwargs, + ) + out = out.view(a.shape[:-1] + out.shape[-1:]) + return out + + +def swiglu(a, alpha, precision_config, routing_data=None): + return SwiGLU.apply(a, alpha, precision_config, routing_data) + + +def swiglu_torch(a, alpha, precision_config): + limit = precision_config.limit + a_gelu = a[..., ::2] + if limit is not None: + a_gelu = a_gelu.clamp(max=limit) + a_linear = a[..., 1::2] + if limit is not None: + a_linear = a_linear.clamp(min=-limit, max=limit) + + out_gelu = a_gelu * torch.sigmoid(alpha * a_gelu) + out = out_gelu * (a_linear + 1) + return out diff --git a/triton_kernels/swiglu_details/__init__.py b/triton_kernels/swiglu_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/swiglu_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/swiglu_details/_swiglu.py b/triton_kernels/swiglu_details/_swiglu.py new file mode 100644 index 000000000000..b2a907e07448 --- /dev/null +++ b/triton_kernels/swiglu_details/_swiglu.py @@ -0,0 +1,106 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/swiglu_details/_swiglu.py +# Triton is licensed under the MIT License. + +from triton_kernels.numerics_details.flexpoint import load_scale, float_to_flex, update_scale +import triton +import triton.language as tl + + +@triton.jit +def clip(x, limit, clip_lower: tl.constexpr): + res = tl.minimum(x, limit) + if clip_lower: + res = tl.maximum(-limit, res) + return res + + +@triton.jit +def thread_local_absmax(x, BLOCK_SIZE: tl.constexpr, NUM_THREADS: tl.constexpr): + return tl.max(tl.reshape(tl.abs(x), [NUM_THREADS, BLOCK_SIZE // NUM_THREADS], can_reorder=True), axis=1) + + +def swiglu_repr(specialization): + signature = specialization.signature + constants = specialization.constants + convert_dtype = lambda dtype: "mxfp4" if "u8" in dtype else dtype + dtypes = "x".join([convert_dtype(f"{signature[i][1:]}") for i in ["Out", "A"]]) + blocks = "x".join([f"{constants[i]}" for i in ["BLOCK_M", "BLOCK_N"]]) + return f"_swiglu_{dtypes}_{blocks}" + + +def swiglu_launch_metadata(grid, kernel, args): + M, N = args["M"], args["N"] + ret = dict() + ret["name"] = f"{kernel.name} [M = {M}, N = {N}]" + A, Out = args["A"], args["Out"] + ret["bytes"] = Out.numel() * Out.element_size() + A.numel() * A.element_size() + return ret + + +@triton.jit +def compute_swiglu(gelu, linear, scale, alpha, limit): + gelu = gelu.to(tl.float32) * scale + if limit is not None: + gelu = clip(gelu, limit, clip_lower=False) + linear = linear.to(tl.float32) * scale + if limit is not None: + linear = clip(linear, limit, clip_lower=True) + s = gelu / (1 + tl.exp(-alpha * gelu)) + return tl.fma(s, linear, s) # (s * (linear + 1)) + + +@triton.jit(repr=lambda _: "_swiglu") +def _swiglu_fn(input, alpha, limit): + gelu, linear = tl.split(tl.reshape(input, (input.shape[0], input.shape[1] // 2, 2))) + return compute_swiglu(gelu, linear, 1.0, alpha, limit) + + +@triton.jit(repr=swiglu_repr, launch_metadata=swiglu_launch_metadata) +def _swiglu(Out, OutExpectedScale, OutActualScale, OutChecksumScale, A, AScale, alpha, M, N, stride_am, stride_an, + stride_outm, stride_outn, limit: tl.constexpr, NTokens, BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr, + EVEN_N: tl.constexpr, M_BLOCKS, N_BLOCKS, flexpoint_saturate_inf: tl.constexpr): + if NTokens is not None: + M = tl.load(NTokens) + M_BLOCKS = (M + BLOCK_M - 1) // BLOCK_M + + local_max = tl.full([tl.extra.cuda.num_threads()], 0.0, tl.float32) + + a_scale = load_scale(AScale) + out_expected_scale = load_scale(OutExpectedScale) + + for pid in tl.range(tl.program_id(0), M_BLOCKS * N_BLOCKS, tl.num_programs(0), num_stages=2): + pid_m = (pid // N_BLOCKS) + pid_n = (pid % N_BLOCKS) + off_m = pid_m * BLOCK_M + tl.arange(0, BLOCK_M) + off_n = pid_n * BLOCK_N + tl.arange(0, BLOCK_N) + mask_m = off_m < M + mask_n = off_n < N + packed_off_n = pid_n * BLOCK_N + tl.arange(0, 2 * BLOCK_N) // 2 + packed_mask_n = packed_off_n < N + packed_mask_n = tl.max_constancy(packed_mask_n, [16]) + # load a + packed_off_n = pid_n * 2 * BLOCK_N + tl.arange(0, 2 * BLOCK_N) + packed_offs = off_m[:, None] * stride_am + packed_off_n[None, :] * stride_an + if EVEN_N: + a_packed = tl.load(A + packed_offs, mask=mask_m[:, None], other=0.) + else: + if pid_n * BLOCK_N + BLOCK_N <= N: + a_packed = tl.load(A + packed_offs, mask=mask_m[:, None], other=0.) + else: + packed_mask = mask_m[:, None] & packed_mask_n[None, :] + a_packed = tl.load(A + packed_offs, mask=packed_mask, other=0.) + a_gelu, a_linear = tl.split(tl.reshape(a_packed, (BLOCK_M, BLOCK_N, 2))) + out = compute_swiglu(a_gelu, a_linear, a_scale, alpha, limit) + # update flexpoint stats and divide by scale + # we don't need masking because of the `other` when loading `A` + if OutActualScale is not None: + absmax = thread_local_absmax(out, out.numel, tl.extra.cuda.num_threads()) + local_max = tl.maximum(local_max, absmax) + out = float_to_flex(out, out_expected_scale, + None, # ActualScale: local absmax is tracked and updated after the loop + OutChecksumScale, None, Out, flexpoint_saturate_inf) + mask = mask_m[:, None] if EVEN_N else mask_m[:, None] & mask_n[None, :] + tl.store(Out + off_m[:, None] * stride_outm + off_n[None, :] * stride_outn, out, mask) + + update_scale(local_max, OutActualScale, Out) diff --git a/triton_kernels/target_info.py b/triton_kernels/target_info.py new file mode 100644 index 000000000000..6966f63d6282 --- /dev/null +++ b/triton_kernels/target_info.py @@ -0,0 +1,58 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/target_info.py +# Triton is licensed under the MIT License. + +import torch +import triton +import triton.language as tl + +from triton.language.target_info import ( + cuda_capability_geq, + is_cuda, + is_hip, + is_hip_cdna3, + is_hip_cdna4, +) + +__all__ = [ + "cuda_capability_geq", + "get_cdna_version", + "has_tma_gather", + "has_native_mxfp", + "is_cuda", + "is_hip", + "is_hip_cdna3", + "is_hip_cdna4", + "num_sms", +] + + +@triton.constexpr_function +def get_cdna_version(): + """ + Gets the AMD architecture version, i.e. CDNA3 or CDNA4, currently + only supports 3 (gfx942) or 4 (gfx950). Returns -1 if it is not AMD + hardware or unsupported architecture + """ + target = tl.target_info.current_target() + if target.backend != 'hip': + return -1 + if target.arch == 'gfx942': + return 3 + if target.arch == 'gfx950': + return 4 + return -1 + + +@triton.constexpr_function +def has_tma_gather(): + return cuda_capability_geq(10, 0) + + +@triton.constexpr_function +def has_native_mxfp(): + return cuda_capability_geq(10, 0) + + +def num_sms(): + return torch.cuda.get_device_properties(0).multi_processor_count diff --git a/triton_kernels/tensor.py b/triton_kernels/tensor.py new file mode 100644 index 000000000000..ae68a898963d --- /dev/null +++ b/triton_kernels/tensor.py @@ -0,0 +1,219 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor.py +# Triton is licensed under the MIT License. + +from dataclasses import dataclass, fields +from typing import Type + +import torch +from triton.tools.tensor_descriptor import TensorDescriptor +from triton.tools.ragged_tma import create_ragged_descriptor + +from .reduction_details.reduce_bitmatrix import clear_sums, sum_bitmatrix_rows +from .target_info import cuda_capability_geq +from .tensor_details.layout import Layout, StridedLayout + + +@dataclass +class Storage: + data: torch.Tensor + layout: Layout = None + + def __post_init__(self): + assert isinstance(self.data, torch.Tensor) + if self.layout is None: + self.layout = StridedLayout(self.data.shape) + + @property + def device(self): + return self.data.device + + def is_tma_compliant(self): + # TMAs didn't exist until Hopper + if not cuda_capability_geq(9, 0): + return False + # TMAs only exist for 2D, 3D, 5D inputs + if len(self.data.shape) not in [2, 3, 5]: + return False + # TMAs need at most one stride equal to 1 + # and all other strides divisble by 16 + strides = list(self.data.stride()) + try: + major_dim = strides.index(1) + except ValueError: + major_dim = -1 + ndim = self.data.ndim + bitwidth = 4 if self.data.dtype == torch.uint8 else self.data.element_size() * 8 + compliant = [strides[i] * bitwidth % 128 == 0 for i in range(ndim) if i != major_dim] + return all(compliant) + + def make_dense_tma(self, block_shape, transpose=False): + strides = list(self.data.stride()) + shape = list(self.data.shape) + transpose = self.data.stride()[-1] != 1 + if transpose: + block_shape = block_shape[:-2] + [block_shape[-1], block_shape[-2]] + shape = shape[:-2] + [shape[-1], shape[-2]] + strides = strides[:-2] + [strides[-1], strides[-2]] + if self.data.dtype == torch.uint8 and self.layout.name == "BLACKWELL_VALUE": + indx = strides.index(1) + block_shape[indx] = block_shape[indx] // 2 + if shape[-1] % 128 != 0: + raise ValueError("inner shape need to be multiple of 128 for " + "mxfp4 (CU_TENSOR_MAP_DATA_TYPE_16U4_ALIGN16B) TMAs.") + block_shape = self.layout.swizzle_block_shape(block_shape) + return TensorDescriptor(self.data, shape, strides, block_shape) + + def make_tma(self, block_shape, mode, transpose=False): + if mode in ["dense", "gather", "scatter"]: + return self.make_dense_tma(block_shape, transpose) + assert mode == "ragged" + ragged_dim = len(self.data.shape) - 2 + return create_ragged_descriptor(self.data, block_shape, ragged_dim=ragged_dim) + + +@dataclass +class IntegerType: + bitwidth: int + + +@dataclass +class FloatType: + bitwidth_exponent: int + bitwidth_mantissa: int + is_signed: bool + + def __post_init__(self): + self.bitwidth = int(self.is_signed) + self.bitwidth_exponent + self.bitwidth_mantissa + + +BIT = IntegerType(1) +FP4 = FloatType(bitwidth_exponent=2, bitwidth_mantissa=1, is_signed=True) + + +def bitwidth(type: IntegerType | FloatType | torch.dtype): + if isinstance(type, torch.dtype): + return type.itemsize * 8 + return type.bitwidth + + +@dataclass +class Tensor: + storage: Storage | torch.Tensor + dtype: IntegerType | FloatType | torch.dtype = None + shape: list[int] | None = None + shape_max: list[int] | None = None + + def __post_init__(self): + # set storage + if isinstance(self.storage, torch.Tensor): + self.storage = Storage(self.storage) + # initialize dtype + if self.dtype is None: + self.dtype = self.storage.data.dtype + if bitwidth(self.dtype) < 8 and self.shape is None: + raise ValueError("shape must be provided for sub-byte types") + # initialize shape + if self.shape is None: + self.shape = list(self.storage.data.shape) + # validate shape: all elements must be `int` or numel-1 `torch.Tensor` + is_int = lambda s: isinstance(s, int) + is_item = lambda s: hasattr(s, "numel") and s.numel() == 1 + assert all(map(lambda s: is_int(s) or is_item(s), self.shape)) + # initialize shape_max + if self.shape_max is None: + self.shape_max = [None] * len(self.shape) + for i, (s, smax) in enumerate(zip(self.shape, self.shape_max)): + if smax is not None and not is_int(smax): + raise ValueError(f"shape_max[{i}] must be `int` or `None`; got {type(smax)}") + if smax is None: + self.shape_max[i] = s + # validate shape_max: all elements must be `int` + assert all(map(is_int, self.shape_max)) + + # torch compatibility layer + @property + def ndim(self): + return len(self.shape) + + @property + def device(self): + return self.storage.device + + def stride(self, i=None): + return self.storage.data.stride() if i is None else self.storage.data.stride(i) + + def data_ptr(self): + return self.storage.data.data_ptr() + + def numel(self): + return self.storage.data.numel() + + def element_size(self): + return bitwidth(self.dtype) // 8 + + @property + def data(self): + t = self.storage + return t.data if isinstance(t, Storage) else t + + def dim(self): + return self.ndim + + def size(self, i=None): + if i is None: + return self.shape + return self.shape[i] + + +@dataclass +class Bitmatrix(Tensor): + """ + Represents a boolean matrix in a packed format where each element occupies + a single bit of memory. + + _scratchpad is either None or an all-zero array of size >= shape[-1]; we pass it along + with the actual bitmatrix to avoid having to launch a separate memset + kernel when we call Bitmatrix::sum(). + """ + + scratchpad: torch.Tensor = None + + def __init__(self, storage, shape, shape_max=None, scratchpad=None): + super().__init__(storage, dtype=BIT, shape=shape, shape_max=shape_max) + self.scratchpad = scratchpad + + def sum(self, partials_block_size): + _, n_cols = self.shape + dev = self.device + if self.scratchpad is None: + self.scratchpad = clear_sums(n_cols, dev) + out_ret = self.scratchpad[:n_cols] + self.scratchpad = None # throw error if we try to sum again + return sum_bitmatrix_rows(self, out_ret, partials_block_size) + + +def get_layout(tensor: torch.Tensor | Tensor | None): + if tensor is None: + return None + if isinstance(tensor, Tensor): + return tensor.storage.layout + return StridedLayout + + +def wrap_torch_tensor(torch_tensor, dtype=None): + if dtype is None: + dtype = torch_tensor.dtype + shape = list(torch_tensor.shape) + shape[torch_tensor.stride().index(1)] *= bitwidth(torch_tensor.dtype) // bitwidth(dtype) + return Tensor(Storage(torch_tensor), dtype=dtype, shape=shape) + + +def convert_layout(tensor: Tensor, layout_cls: Type[Layout], **layout_kwargs): + assert isinstance(tensor, Tensor) + old_storage = tensor.storage + old_data = old_storage.layout.unswizzle_data(old_storage.data) + new_layout = layout_cls(old_data.shape, **layout_kwargs) + new_data = new_layout.swizzle_data(old_data) + attrs = {k.name: getattr(tensor, k.name) for k in fields(tensor) if k.name != "storage"} + return Tensor(Storage(new_data, new_layout), **attrs) diff --git a/triton_kernels/tensor_details/__init__.py b/triton_kernels/tensor_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/tensor_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/tensor_details/layout.py b/triton_kernels/tensor_details/layout.py new file mode 100644 index 000000000000..9670c096adb5 --- /dev/null +++ b/triton_kernels/tensor_details/layout.py @@ -0,0 +1,44 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout.py +# Triton is licensed under the MIT License. + +from .layout_details.base import Layout +from .layout_details.blackwell_scale import BlackwellMXScaleLayout +from .layout_details.blackwell_value import BlackwellMXValueLayout +from .layout_details.hopper_scale import HopperMXScaleLayout +from .layout_details.hopper_value import HopperMXValueLayout +from .layout_details.cdna4_scale import CDNA4MXScaleLayout +from .layout_details.strided import StridedLayout +from ..target_info import cuda_capability_geq, is_hip_cdna4 + +__all__ = [ + "Layout", + "BlackwellMXValueLayout", + "BlackwellMXScaleLayout", + "HopperMXScaleLayout", + "HopperMXValueLayout", + "CDNA4MXScaleLayout", + "StridedLayout", +] + + +def make_default_matmul_mxfp4_w_layout(mx_axis: int): + if cuda_capability_geq(10): + # return StridedLayout, dict() + return BlackwellMXValueLayout, dict() + elif cuda_capability_geq(9): + return HopperMXValueLayout, {"mx_axis": mx_axis} + else: + return StridedLayout, dict() + + +def make_default_matmul_mxfp4_w_scale_layout(mx_axis: int, num_warps: int = 8): + if is_hip_cdna4(): + return CDNA4MXScaleLayout, dict() + else: + if cuda_capability_geq(10): + return BlackwellMXScaleLayout, dict() + elif cuda_capability_geq(9): + return HopperMXScaleLayout, {"mx_axis": mx_axis, "num_warps": num_warps} + + return StridedLayout, dict() diff --git a/triton_kernels/tensor_details/layout_details/__init__.py b/triton_kernels/tensor_details/layout_details/__init__.py new file mode 100644 index 000000000000..2d460d330a98 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/__init__.py @@ -0,0 +1 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. diff --git a/triton_kernels/tensor_details/layout_details/base.py b/triton_kernels/tensor_details/layout_details/base.py new file mode 100644 index 000000000000..3d725ac923d5 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/base.py @@ -0,0 +1,23 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/base.py +# Triton is licensed under the MIT License. + +from abc import ABC, abstractmethod + + +class Layout(ABC): + + def __init__(self, shape) -> None: + self.initial_shape = shape + + @abstractmethod + def swizzle_data(self, data): + pass + + @abstractmethod + def unswizzle_data(self, data): + pass + + @abstractmethod + def swizzle_block_shape(self, block_shape): + pass diff --git a/triton_kernels/tensor_details/layout_details/blackwell_scale.py b/triton_kernels/tensor_details/layout_details/blackwell_scale.py new file mode 100644 index 000000000000..3ff602577ae8 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/blackwell_scale.py @@ -0,0 +1,62 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/blackwell_scale.py +# Triton is licensed under the MIT License. + +import math +import triton +import triton.language as tl +import torch +from .base import Layout + +SWIZZLE_ALIGN_INNER = 8 +SWIZZLE_SIZE_INNER = 4 +SWIZZLE_SIZE_OUTER = 128 + + +class BlackwellMXScaleLayout(Layout): + name: str = "BLACKWELL_SCALE" + + def __init__(self, shape) -> None: + super().__init__(shape) + *self.leading_shape, self.K, self.N, = shape + self.B = math.prod(self.leading_shape) + self.ALIGN_K = 8 + self.ALIGN_N = 128 + self.SWIZZLE_K = 4 + self.K_pad = (self.K + self.ALIGN_K - 1) // self.ALIGN_K * self.ALIGN_K + self.N_pad = (self.N + self.ALIGN_N - 1) // self.ALIGN_N * self.ALIGN_N + + def swizzle_data(self, data): + data = torch.nn.functional.pad(data, (0, self.N_pad - self.N, 0, self.K_pad - self.K)) + data = data.transpose(-1, -2).contiguous() + data = data.reshape(self.B, self.N_pad // self.ALIGN_N, self.ALIGN_N // 32, 32, self.K_pad // self.SWIZZLE_K, + self.SWIZZLE_K) + data = data.transpose(2, 4).contiguous() + data = data.view(1, self.B * self.N_pad // 128, self.K_pad // 4, 2, 256) + return data + + def unswizzle_data(self, data): + data = data.reshape(self.B, self.N_pad // self.ALIGN_N, self.K_pad // self.SWIZZLE_K, 32, self.ALIGN_N // 32, + self.SWIZZLE_K) + data = data.transpose(2, 4) + data = data.reshape(*self.leading_shape, self.N_pad, self.K_pad) + data = data.transpose(-1, -2) + return data[..., :self.K, :self.N] + + def swizzle_block_shape(self, block_shape): + MX_PACK_DIVISOR = 32 + MX_SCALE_BLOCK_K = block_shape[1] // MX_PACK_DIVISOR + return [1, block_shape[0] // 128, MX_SCALE_BLOCK_K // 4, 2, 256] + + +@triton.jit +def unswizzle_mx_scale_bw(x, SIZE_OUTER: tl.constexpr = SWIZZLE_SIZE_OUTER, + SIZE_INNER: tl.constexpr = SWIZZLE_SIZE_INNER, + ALIGN_INNER: tl.constexpr = SWIZZLE_ALIGN_INNER): + shape_0: tl.constexpr = x.shape[0] + shape_1: tl.constexpr = x.shape[1] + tl.static_assert(shape_1 % SIZE_OUTER == 0) + tl.static_assert(shape_1 // SIZE_OUTER <= ALIGN_INNER) + x = x.reshape(shape_0, (shape_1 // SIZE_OUTER) // SIZE_INNER, 32, SIZE_OUTER // 32, SIZE_INNER) + x = x.trans(0, 3, 2, 1, 4).reshape(shape_0 * SIZE_OUTER, shape_1 // SIZE_OUTER) + return x diff --git a/triton_kernels/tensor_details/layout_details/blackwell_value.py b/triton_kernels/tensor_details/layout_details/blackwell_value.py new file mode 100644 index 000000000000..15a0e4783b62 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/blackwell_value.py @@ -0,0 +1,37 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/blackwell_value.py +# Triton is licensed under the MIT License. + +import torch +from .base import Layout + + +class BlackwellMXValueLayout(Layout): + name: str = "BLACKWELL_VALUE" + + def __init__(self, shape) -> None: + super().__init__(shape) + self.shape = shape + + def swizzle_data(self, data): + # permutation needed to make `data` row major + to_row_major = sorted(range(data.ndim), key=lambda d: (data.stride(d), d))[::-1] + # permutation needed to retrieve original order + inv = [0] * data.ndim + for i, d in enumerate(to_row_major): + inv[d] = i + # leading dimension must be padded to be aligned to 128 + align_dim = lambda x: (x + 128 - 1) // 128 * 128 + major_dim = data.stride().index(1) + pad = align_dim(data.shape[major_dim]) - data.shape[major_dim] + data = torch.nn.functional.pad(data.permute(to_row_major), (0, pad)).permute(inv) + return data + + def unswizzle_data(self, data: torch.Tensor): + # Trim padding along all dims back to the original shape recorded at init. + assert data.ndim == len(self.shape), "Rank mismatch between data and recorded shape" + sizes = [min(data.size(i), self.shape[i]) for i in range(data.ndim)] + return data[tuple(slice(0, s) for s in sizes)] + + def swizzle_block_shape(self, block_shape): + return block_shape diff --git a/triton_kernels/tensor_details/layout_details/cdna4_scale.py b/triton_kernels/tensor_details/layout_details/cdna4_scale.py new file mode 100644 index 000000000000..87dbd6b37723 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/cdna4_scale.py @@ -0,0 +1,48 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/cdna4_scale.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl +from .base import Layout + +NON_K_PRESHUFFLE_BLOCK_SIZE = 32 + + +class CDNA4MXScaleLayout(Layout): + name: str = "CDNA4_SCALE" + + def __init__(self, shape) -> None: + super().__init__(shape) + + def swizzle_data(self, data): + block_shape = data.shape + SCALE_K = block_shape[-2] + N = block_shape[-1] + data = data.transpose(-1, -2) + data = data.view(-1, N // NON_K_PRESHUFFLE_BLOCK_SIZE, 2, 16, SCALE_K // 8, 2, 4, 1) + data = data.permute(0, 1, 4, 6, 3, 5, 2, 7).contiguous() + if len(block_shape) == 3: + E = block_shape[0] + data = data.reshape(E, N // 32, SCALE_K * 32) + else: + assert len(block_shape) == 2 + data = data.reshape(N // 32, SCALE_K * 32) + return data.transpose(-1, -2) + + def unswizzle_data(self, data): + raise NotImplementedError() + + def swizzle_block_shape(self, block_shape): + SCALE_K = block_shape[-2] + N = block_shape[-1] + return block_shape[:-2] + [N // 32, SCALE_K * 32] + + +@triton.jit +def unswizzle_mx_scale_cdna4(x, BLOCK_N: tl.constexpr, MX_SCALE_BLOCK_K: tl.constexpr, + N_PRESHUFFLE_FACTOR: tl.constexpr = NON_K_PRESHUFFLE_BLOCK_SIZE): + x = x.reshape(BLOCK_N // N_PRESHUFFLE_FACTOR, MX_SCALE_BLOCK_K // 8, 4, 16, 2, 2, 1) + x = x.permute(0, 5, 3, 1, 4, 2, 6) + x = x.reshape(BLOCK_N, MX_SCALE_BLOCK_K) + return x diff --git a/triton_kernels/tensor_details/layout_details/hopper_scale.py b/triton_kernels/tensor_details/layout_details/hopper_scale.py new file mode 100644 index 000000000000..feb342fc8894 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/hopper_scale.py @@ -0,0 +1,84 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/hopper_scale.py +# Triton is licensed under the MIT License. + +import torch +import triton +import triton.language as tl +from .base import Layout + + +class HopperMXScaleLayout(Layout): + name: str = "HOPPER_SCALE" + + def __init__(self, shape, mx_axis, num_warps=8) -> None: + assert num_warps & (num_warps - 1) == 0, "warps_n must be a power of 2" + super().__init__(shape) + self.mx_axis = mx_axis + self.num_warps = num_warps + *self.leading_shape, _, _ = shape + + def _maybe_mT(self, data): + if self.mx_axis == len(self.leading_shape): + return data.contiguous().mT + return data + + def swizzle_data(self, data): + data = self._maybe_mT(data).contiguous() + *batch, M, K = data.shape + SWIZZLE_ALIGN_M = 2 * self.num_warps * 2 * 8 + SWIZZLE_ALIGN_K = 2 + pad_m = (SWIZZLE_ALIGN_M - (M % SWIZZLE_ALIGN_M)) % SWIZZLE_ALIGN_M + pad_k = (SWIZZLE_ALIGN_K - (K % SWIZZLE_ALIGN_K)) % SWIZZLE_ALIGN_K + data = torch.nn.functional.pad(data, (0, pad_k, 0, pad_m)) + *batch, M, K = data.shape + assert data.is_contiguous() + assert M % ( + 2 * self.num_warps * 2 * + 8) == 0 and K % 2 == 0, f"Input tensor must have a subtile of shape (..., {2 * self.num_warps * 2 * 8}, 2)" + b = len(batch) + data = data.reshape(*batch, M // (2 * self.num_warps * 2 * 8), 2, self.num_warps, 2, 8, K // 2, 2) + perm = [0, 2, 5, 1, 4, 6, 3] + perm = list(range(b)) + [b + p for p in perm] + data = data.permute(*perm) + data = data.flatten(-5, -1) + data = data.flatten(-3, -2) + assert data.shape[-2] == M // 32 + assert data.shape[-1] == K * 32 + data = self._maybe_mT(data) + return data + + def unswizzle_data(self, data): + data = self._maybe_mT(data) + *batch, M, K = data.shape + b = len(batch) + data = data.reshape(*batch, M // self.num_warps, self.num_warps, K // 64, 2, 8, 2, 2) + perm = [0, 3, 1, 6, 4, 2, 5] + perm = list(range(b)) + [b + p for p in perm] + data = data.permute(*perm) + data = data.reshape(*batch, M * 32, K // 32) + data = self._maybe_mT(data) + return data + + def swizzle_block_shape(self, block_shape): + return block_shape + + +@triton.jit +def unswizzle_mxfp4_scale_hopper(x, mx_axis: tl.constexpr, num_warps: tl.constexpr): + """ + Triton inverse of swizzle_mxfp4_scale_hopper + """ + tl.static_assert(len(x.shape) == 2, "NYI") + # implementation assumes mxfp data is packed along the last dimension + x = x.trans() if mx_axis == 0 else x + M: tl.constexpr = x.shape[0] + K: tl.constexpr = x.shape[1] + tl.static_assert(M % num_warps == 0, f"M must be divisible by {num_warps}. Got {M}") + tl.static_assert(K % 64 == 0, f"K must be divisible by 64. Got {K}") + x = x.reshape(M // num_warps, num_warps, K // 64, 2, 8, 2, 2) + x = x.trans(0, 3, 1, 6, 4, 2, 5) + x = x.reshape(M * 32, K // 32) + # implementation assumed mxfp data is packed along the last dimension + x = x.trans() if mx_axis == 0 else x + return x diff --git a/triton_kernels/tensor_details/layout_details/hopper_value.py b/triton_kernels/tensor_details/layout_details/hopper_value.py new file mode 100644 index 000000000000..bf38b71b518c --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/hopper_value.py @@ -0,0 +1,327 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/hopper_value.py +# Triton is licensed under the MIT License. + +import torch +import triton +import triton.language as tl +from .base import Layout + + +def right_shift_unsigned(x, shift): + return (x >> shift) & ((1 << (32 - shift)) - 1) + + +# ----------------------------------------------------------------------- +# Interleave the bits of four consecutive fp4 values (i.e. 16-bits) as: +# 1000000111000000 (first fp4) +# 1000000111000000 (second fp4) +# 1000000111000000 (third fp4) +# 0110110000000000 (fourth fp4) +# This is done so that dequantization can be done in 14 SASS instructions +# ----------------------------------------------------------------------- + + +def _compress_fp4(x): + x = x.to(torch.int32) + return ((x & 0x8) << 12) | ((x & 0x7) << 6) + + +def _compress_fourth(x): + x = x.to(torch.int32) + return ((x & 0x8) << 11) | ((x & 0x6) << 9) | ((x & 0x1) << 13) + + +def _pack_bits(x: torch.Tensor, mx_axis: int): + x = x.contiguous() + assert x.shape[-1] % 4 == 0, "Input tensor must have a last dimension divisible by 4" + x = x.reshape(x.shape[:-1] + (x.shape[-1] // 4, 4)) + first = _compress_fp4(x[..., 0]) | (_compress_fp4(x[..., 0] >> 4) << 16) + second = _compress_fp4(x[..., 1]) | (_compress_fp4(x[..., 1] >> 4) << 16) + third = _compress_fp4(x[..., 2]) | (_compress_fp4(x[..., 2] >> 4) << 16) + fourth = _compress_fourth(x[..., 3]) | (_compress_fourth(x[..., 3] >> 4) << 16) + x = first | right_shift_unsigned(second, 3) | right_shift_unsigned(third, 6) | fourth + assert x.is_contiguous() + x = x.view(torch.uint8) + return x + + +# ----------------------------------------------------------------------- +# inverse operation of _pack_bits +# ----------------------------------------------------------------------- + + +def _bf16_to_fp4e2m1(x): + # 0bAxxxxxxBCDxxxxxx (int16) -> 0b0000ABCD (uint8) + assert x.dtype == torch.int16 + s = (right_shift_unsigned(x, 15) & 0x1) << 3 + em = right_shift_unsigned(x, 6) & 0x7 + return (s | em).to(torch.uint8) + + +def _bf16x2_to_fp4e2m1x2(x): + # 0bAxxxxxxBCDxxxxxx_0bExxxxxxFGHxxxxxx (int32) -> 0bABCD_EFGH (uint8) + assert x.dtype == torch.int32 + lo = (x & 0xFFFF).to(torch.int16) + hi = (right_shift_unsigned(x, 16) & 0xFFFF).to(torch.int16) + ret_lo = _bf16_to_fp4e2m1(lo) + ret_hi = _bf16_to_fp4e2m1(hi) + return ret_lo | (ret_hi << 4) + + +def _unpack_bits(x, mx_axis: int): + x = x.view(torch.int32) + m = 0b10000001110000001000000111000000 + a = (x << 1) & 0b10000000000000001000000000000000 + b = right_shift_unsigned(x, 3) & 0b00000001100000000000000110000000 + c = right_shift_unsigned(x, 7) & 0b00000000010000000000000001000000 + unpacked = [x & m, (x << 3) & m, (x << 6) & m, (a | b) | c] + x = torch.stack(unpacked, dim=-1) + x = x.flatten(-2, -1) + x = _bf16x2_to_fp4e2m1x2(x) + return x + + +# ----------------------------------------------------------------------- + + +class HopperMXValueLayout(Layout): + name: str = "HOPPER_VALUE" + + def __init__(self, shape, mx_axis, mma_version=3): + super().__init__(shape) + assert mx_axis in range(len(shape)) + self.mx_axis = mx_axis + self.mma_version = mma_version + *self.leading_shape, self.K, self.N, = shape + + def _maybe_mT(self, data): + if self.mx_axis == len(self.leading_shape): + return data.mT + return data + + def swizzle_data(self, data): + """ + Given a uint8 tensor of shape (*, M, K), returns a tensor of shape + (*, M // 4, K * 4) such that: + + 1) Groups contiguously all the elements owned by the same thread of 4 + mma tiles along the K axis. The following animation shows a similar + grouping for 2 tiles along M and 2 tiles along K rather than 4 along K + as done here: + https://neuralmagic.com/wp-content/uploads/2024/10/animation_4.gif + + 2) Moves the elements belonging to thread 4-7 to be contiguous with those + from thread 0-3. This is done to get a full cache line when loading them + from HBM. + + mx_axis selects the lhs or rhs of the matmul. + + WARNING: Assumes that the matmul will be done in bf16 or fp16! + Implementing it for fp8 is as easy as making the tile size (8, 8) + """ + batch = data.ndim - 2 + assert batch >= 0 + assert self.mma_version in (2, 3) + data = self._maybe_mT(data) + init_shape = data.shape + + # We are loading 8 bf16 elements per thread to use ld.global.v4 + # Every u8 represents 2 mxfp4 elements + u8_kwidth = 8 // 2 if self.mma_version == 2 else 1 + + # Pack the 4 // u8_kwidth subtiles of an mma into a u4x8 + contig = (1, u8_kwidth) + scott_trick = (2, 1) + threads = (4, 4) + warp_tile = (2, 2) + k_tile = (1, 4 // u8_kwidth) + + sizes = list(data.shape[:-2]) + pads = [] + # [rest, K, tile, threads] per dimension + for i, (a, b, c, s, d) in enumerate(zip(k_tile, warp_tile, threads, scott_trick, contig)): + pack = a * b * c * s * d + size = data.shape[batch + i] + pad = (pack - size % pack) % pack + pads += [(0, pad)] + sizes.append((size + pad) // pack) + sizes += [a, b, c, s, d] + + pads = tuple(x for t in pads[::-1] for x in t) + data = torch.nn.functional.pad(data, pads) + init_shape = data.shape + # 0: rest[0] + # 1: k_tile[0] + # 2: warp_tile[0] + # 3: threads[0] + # 4: scott_trick[0] + # 5: contig[0] + # 6: rest[1] + # 7: k_tile[1] + # 8: warp_tile[1] + # 9: threads[1] + # 10: scott_trick[1] + # 11: contig[1] + data = data.view(*sizes) + # Want [rest[0], threads[0], rest[1], scott_trick[0], scott_trick[0], threads[1], contig[1], contig[0], k_tile[1], k_tile[0], warp_tile[1], warp_tile[0]] + perm = [0, 3, 6, 10, 4, 9, 7, 1, 8, 2, 5, 11] + perm = list(range(batch)) + [batch + p for p in perm] + data = data.permute(*perm).contiguous() + # These are views + data = data.flatten(-10, -1) + data = data.flatten(-3, -2) + assert data.is_contiguous() + assert data.shape[-2] == init_shape[-2] // 4 + assert data.shape[-1] == init_shape[-1] * 4 + # twiddle the bits + data = _pack_bits(data, self.mx_axis) + data = self._maybe_mT(data) + return data + + def unswizzle_data(self, data): + data = self._maybe_mT(data) + data = _unpack_bits(data, self.mx_axis) + *batch, M, K = data.shape + # We have two times the elements if we already upcasted to bfloat16 + mult = 2 if data.dtype == torch.bfloat16 else 1 + assert M % 4 == 0, "M must be divisible by 4" + assert K % (4 * 8 * 2 * 2 * mult) == 0, f"K must be divisible by {4 * 8 * 2 * 2 * mult}" + # We are loading 8 bf16 elements per thread to use ld.global.v4 + # Every u8 represents 2 mxfp4 elements + u8_kwidth = 8 // 2 if self.mma_version == 2 else 1 + data = data.reshape(*batch, M // 4, 4, K // (4 * 8 * 2 * 2 * mult), 2, 4, 8 // u8_kwidth, 2, u8_kwidth * mult) + b = len(batch) + perm = [0, 6, 1, 3, 2, 5, 4, 7] + perm = list(range(b)) + [b + p for p in perm] + data = data.permute(*perm) + data = data.reshape(*batch, M * 4, K // 4) + data = self._maybe_mT(data) + return data[..., :self.K, :self.N] + + def swizzle_block_shape(self, block_shape): + return block_shape + + +@triton.jit +def _unshuffle_triton(x, mma_version: tl.constexpr): + """ + Triton inverse of swizzle_mxfp4_value_hopper + """ + tl.static_assert(mma_version == 2 or mma_version == 3, "mma_version must be 2 or 3") + # if mx_axis == 0: + # x = x.trans() + + # We have two times the elements if we already upcasted to bfloat16 + mult: tl.constexpr = 2 if x.dtype == tl.bfloat16 else 1 + M: tl.constexpr = x.shape[0] + K: tl.constexpr = x.shape[1] + tl.static_assert(M % 4 == 0, "M must be divisible by 4") + tl.static_assert(K % (4 * 8 * 2 * 2 * mult) == 0, f"K must be divisible by {4 * 8 * 2 * 2 * mult}") + + # We are loading 8 bf16 elements per thread to use ld.global.v4 + # Every u8 represents 2 mxfp4 elements + u8_kwidth: tl.constexpr = 8 // 2 if mma_version == 2 else 1 + x = x.reshape(M // 4, 4, K // (4 * 8 * 2 * 2 * mult), 2, 4, 8 // u8_kwidth, 2, u8_kwidth * mult) + x = x.trans(0, 6, 1, 3, 2, 5, 4, 7) + x = x.reshape(M * 4, K // 4) + # if mx_axis == 0: + # x = x.trans() + return x + + +@triton.jit +def _unpack_fp4_to_bf16_triton(x): + # For now we implement just H100 support (mul.bf16x2) + # A100 support is possible via fma + r0, r1 = tl.inline_asm_elementwise( + r""" + { + .reg .b32 b, c, d<7>, scale; + .reg .b32 bias; + mov.b32 bias, 0x7e807e80; // 2 ** 126 == 2 ** (bias_bf16 - bias_fp2) + // We add the missing bias to the scale directly + and.b32 $0, $4, 0b10000001110000001000000111000000; + mul.bf16x2 $0, $0, bias; + shl.b32 b, $4, 3; + and.b32 $1, b, 0b10000001110000001000000111000000; + mul.bf16x2 $1, $1, bias; + shl.b32 c, $4, 6; + and.b32 $2, c, 0b10000001110000001000000111000000; + mul.bf16x2 $2, $2, bias; + // Unpack last two elements + shl.b32 d0, $4, 1; + and.b32 d1, d0, 0b10000000000000001000000000000000; + shr.b32 d2, $4, 3; + and.b32 d3, d2, 0b00000001100000000000000110000000; + or.b32 d4, d1, d3; + shr.b32 d5, $4, 7; + and.b32 d6, d5, 0b00000000010000000000000001000000; + or.b32 $3, d4, d6; + mul.bf16x2 $3, $3, bias; + } + """, + constraints="=r,=r,=r,=r,r", + args=[x], + dtype=(tl.bfloat16, tl.bfloat16), + is_pure=True, + pack=4, + ) + # Concat each pack of 4 + x = tl.join(r0, r1) + x = x.reshape(x.shape[0], x.shape[1] // 4, 4, x.shape[2]) + x = x.trans(0, 1, 3, 2) + x = x.reshape(x.shape[0], x.shape[1] * x.shape[2] * x.shape[3]) + return x + + +@triton.jit +def mxfp4_to_bf16_triton(x, scale, mx_axis: tl.constexpr): + """ + Implements the bit-untwiddling of a 32-bit integer (8 mxfp4 elements): + (x << 0) & 0b1000000111000000 + (x << 3) & 0b1000000111000000 + (x << 6) & 0b1000000111000000 + ((x << 1) & 0b1000000000000000) | ((x >> 3) & 0b0000000110000000) | ((x >> 7) & 0b0000000001000000) + """ + # upcast values to bfloat16 + tl.static_assert(len(x.shape) == 2) + tl.static_assert(mx_axis == 0 or mx_axis == 1, "mx_axis must be 0 or 1") + tl.static_assert(x.shape[1] % 4 == 0) + tl.static_assert(x.dtype == tl.uint8) + if mx_axis == 0: + x = x.trans() + x = _unpack_fp4_to_bf16_triton(x) + x = _unshuffle_triton(x, mma_version=3) + if mx_axis == 0: + x = x.trans() + + # upcast scale to bfloat16 + # Add bias missing from the bf16 upcasting sequence + # triton / LLVM generates terrible code for this sequence + # scale = scale.to(tl.uint16) + # scale = scale << 7 + # scale = scale.to(tl.bfloat16, bitcast=True) + scale = tl.inline_asm_elementwise( + r""" + { + prmt.b32 $0, $2, 0, 0x5140; + shl.b32 $0, $0, 7; + prmt.b32 $1, $2, 0, 0x7362; + shl.b32 $1, $1, 7; + } + """, + constraints="=r,=r,r", + args=[scale], + dtype=tl.bfloat16, + is_pure=True, + pack=4, + ) + # Broadcast scale + scale = scale.expand_dims(mx_axis + 1) + scale = scale.broadcast_to(scale.shape[:mx_axis + 1] + [32] + scale.shape[mx_axis + 2:]) + scale = scale.reshape(x.shape) + + # Combine scale and x + x = x * scale + return x diff --git a/triton_kernels/tensor_details/layout_details/strided.py b/triton_kernels/tensor_details/layout_details/strided.py new file mode 100644 index 000000000000..9a8d643504a8 --- /dev/null +++ b/triton_kernels/tensor_details/layout_details/strided.py @@ -0,0 +1,21 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/tensor_details/layout_details/strided.py +# Triton is licensed under the MIT License. + +from .base import Layout + + +class StridedLayout(Layout): + name: str = None + + def __init__(self, shape) -> None: + super().__init__(shape) + + def swizzle_data(self, data): + return data + + def unswizzle_data(self, data): + return data + + def swizzle_block_shape(self, block_shape): + return block_shape diff --git a/triton_kernels/testing.py b/triton_kernels/testing.py new file mode 100644 index 000000000000..c5ef8f2dcecb --- /dev/null +++ b/triton_kernels/testing.py @@ -0,0 +1,199 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/testing.py +# Triton is licensed under the MIT License. + +import enum +import functools +import os +import subprocess +import sys +import torch +from triton_kernels.numerics import MAX_FINITE_FLOAT8E4B8, MAX_FINITE_FLOAT8E4NV, MAX_FINITE_FLOAT8E5 + + +def assert_equal(ref, tri): + if isinstance(ref, torch.Tensor): + assert torch.all(ref == tri) + else: + assert ref == tri + + +def assert_close(ref, tri, maxtol=None, rmstol=None, description="--", verbose=True): + if tri.dtype.itemsize == 1: + ref_as_type = ref.to(tri.dtype) + if ref.dtype == tri.dtype: + assert torch.all(ref_as_type == tri) + return + ref = ref_as_type + + if ref.numel() == 0: + return + + if maxtol is None: + maxtol = 2e-2 + if rmstol is None: + rmstol = 4e-3 + """ + Compare reference values against obtained values. + """ + + # cast to float32: + ref = ref.to(torch.float32).detach() + tri = tri.to(torch.float32).detach() + assert ref.shape == tri.shape, f"Tensors must have same size {ref.shape=} {tri.shape=}" + + # deal with infinite elements: + inf_mask_ref = torch.isinf(ref) + inf_mask_tri = torch.isinf(tri) + assert torch.equal(inf_mask_ref, inf_mask_tri), "Tensor must have same infinite elements" + refn = torch.where(inf_mask_ref, 0, ref) + trin = torch.where(inf_mask_tri, 0, tri) + + # normalise so that RMS calculation doesn't overflow: + eps = 1.0e-30 + multiplier = 1.0 / (torch.max(torch.abs(refn)) + eps) + refn *= multiplier + trin *= multiplier + + ref_rms = torch.sqrt(torch.square(refn).mean()) + eps + + rel_err = torch.abs(refn - trin) / torch.maximum(ref_rms, torch.abs(refn)) + max_err = torch.max(rel_err).item() + rms_err = torch.sqrt(torch.square(rel_err).mean()).item() + + if verbose: + print("%s maximum relative error = %s (threshold = %s)" % (description, max_err, maxtol)) + print("%s RMS relative error = %s (threshold = %s)" % (description, rms_err, rmstol)) + + if max_err > maxtol: + bad_idxs = torch.nonzero(rel_err > maxtol) + num_nonzero = bad_idxs.size(0) + bad_idxs = bad_idxs[:1000] + print("%d / %d mismatched elements (shape = %s) at coords %s" % + (num_nonzero, rel_err.numel(), tuple(rel_err.shape), bad_idxs.tolist())) + + bad_idxs = bad_idxs.unbind(-1) + print("ref values: ", ref[tuple(bad_idxs)].cpu()) + print("tri values: ", tri[tuple(bad_idxs)].cpu()) + + assert max_err <= maxtol + assert rms_err <= rmstol + + +class ComputeSanitizerTool(enum.Enum): + MEMCHECK = "memcheck" + RACECHECK = "racecheck" + SYNCCHECK = "synccheck" + INITCHECK = "initcheck" + + +def compute_sanitizer(**target_kwargs): + """ + Decorator to run a test with compute sanitizer enabled and pytorch caching allocator disabled, + to expose potential memory access errors. + This decorator requires the `request` fixture to be present. + If `run_sanitizer` argument is present and set to False, the sanitizer is not run. + Running tests under compute sanitizer requires launching subprocess and is slow, + so use sparingly + """ + + def decorator(test_fn): + + @functools.wraps(test_fn) + def wrapper(*args, **kwargs): + if os.environ.get("SKIP_COMPUTE_SANITIZER") == "1": + test_fn(*args, **kwargs) + return + + import psutil + + if target_kwargs.pop("clear_torch_cache", False): + # If we don't pop clear_torch_cache, it won't pass + # target_kwargs.items() <= kwargs.items() condition below. + torch.cuda.empty_cache() + tools_to_check = target_kwargs.pop("tools_to_check", [ComputeSanitizerTool.MEMCHECK]) + assert isinstance(tools_to_check, list), f"{tools_to_check=}" + assert all(tool in ComputeSanitizerTool for tool in tools_to_check), ( + f"{(tool for tool in tools_to_check if tool not in ComputeSanitizerTool)=}") + + ppid_name = psutil.Process(os.getppid()).exe() + run_compute_sanitizer = target_kwargs.items() <= kwargs.items() + if "run_sanitizer" in kwargs: + run_compute_sanitizer &= kwargs["run_sanitizer"] + if run_compute_sanitizer and "compute-sanitizer" not in ppid_name: + for tool in tools_to_check: + path = os.path.realpath(test_fn.__globals__["__file__"]) + # get path of current file + env = { + "PATH": os.environ["PATH"], + "PYTORCH_NO_CUDA_MEMORY_CACHING": "1", + "TORCH_SHOW_CPP_STACKTRACES": "1", + "CUDA_LAUNCH_BLOCKING": "1", + } + if "CUDA_VISIBLE_DEVICES" in os.environ: + env["CUDA_VISIBLE_DEVICES"] = os.environ["CUDA_VISIBLE_DEVICES"] + assert "request_fixture" in kwargs, ( + "memcheck'ed test must have a (possibly unused) `request` fixture") + test_id = kwargs["request_fixture"].node.callspec.id + cmd = f"{path}::{test_fn.__name__}[{test_id}]" + cmd = [ + "compute-sanitizer", + "--target-processes=application-only", + "--destroy-on-device-error=context", + f"--tool={tool.value}", + sys.executable, + "-m", + "pytest", + "-vsx", + cmd, + ] + for opt in ["--update_checksum", "--ignore_checksum_error"]: + if opt in sys.argv: + cmd.append(opt) + out = subprocess.run( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + env=env, + ) + sanitizer_ok = "ERROR SUMMARY: 0 errors" in str( + out.stdout) or "RACECHECK SUMMARY: 0 hazards displayed" in str(out.stdout) + test_output = out.stdout + if type(test_output) is bytes: + test_output = test_output.decode() + + fail = False + if not sanitizer_ok: + print("compute-sanitizer returned an error") + fail = True + elif out.returncode != 0: + print( + "The test failed due to some other reason: consider running without compute-sanitizer to verify." + ) + print(f"{out.returncode=}") + fail = True + + if fail: + print("*****************************************************") + print("******************** TEST OUTPUT ********************") + print("*****************************************************") + print(test_output) + print("*****************************************************") + print("****************** TEST OUTPUT END ******************") + print("*****************************************************") + assert None + else: + test_fn(*args, **kwargs) + + return wrapper + + return decorator + + +def compute_actual_scale(x, dtype): + max_finite = { + torch.float8_e5m2: MAX_FINITE_FLOAT8E5, + torch.float8_e4m3fn: MAX_FINITE_FLOAT8E4NV, + torch.float8_e4m3fnuz: MAX_FINITE_FLOAT8E4B8, + }[dtype] + return x.abs().max() / max_finite diff --git a/triton_kernels/topk.py b/triton_kernels/topk.py new file mode 100644 index 000000000000..22140cf41a05 --- /dev/null +++ b/triton_kernels/topk.py @@ -0,0 +1,128 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/topk.py +# Triton is licensed under the MIT License. + +import torch +import triton +from triton_kernels.topk_details._topk_forward import _topk_forward +from triton_kernels.topk_details._topk_backward import _topk_backward +from triton_kernels.tensor import Tensor, Bitmatrix +from typing import Optional, Union + + +def topk_forward(x, k, apply_softmax=True, dim=1, return_bitmatrix=True, y_indx=None, n_rows=None): + if not isinstance(x, Tensor): + x_shape = [x.shape[0] if n_rows is None else n_rows, x.shape[1]] + x_shape_max = [x.shape[0], x.shape[1]] + x = Tensor(x, shape=x_shape, shape_max=x_shape_max) + cdiv = lambda a, b: (a + b - 1) // b + BLOCK_M = 32 + BLOCK_N = 32 + BLOCK_S = 128 + assert len(x.shape) == 2 + assert x.shape_max[-1] < 32768 + assert dim == 1 + assert return_bitmatrix + n_rows, n_cols = x.shape + n_rows_max, _ = x.shape_max + dev = x.device + # scratchpad tensors + # NOTE: these are not returned + y_vals = torch.empty((n_rows_max, k), dtype=x.dtype, device=dev) + if y_indx is not None: + use_provided_indx = True + else: + y_indx = torch.empty((n_rows_max, k), dtype=torch.int16, device=dev) + use_provided_indx = False + # create bitmatrix in transposed memory layout: + n_cols_pad = cdiv(n_cols, BLOCK_N) * BLOCK_N + n_cols_words = n_cols_pad // 32 + bitmatrix = torch.empty((n_cols_words, cdiv(n_rows_max, 32) * 32), dtype=torch.uint32, device=dev) + bitmatrix = torch.transpose(bitmatrix, 0, 1)[:n_rows_max] + s_blocks = cdiv(n_cols, BLOCK_S) + s_cols = s_blocks * BLOCK_S + scratchpad = torch.empty((s_cols, ), dtype=torch.int32, device=dev) + pids = max(cdiv(n_rows_max, BLOCK_M), s_blocks) + _topk_forward[(pids, )]( + x, x.stride(0), # inputs + y_vals, y_indx, y_vals.stride(0), use_provided_indx, # output [topk] + bitmatrix, bitmatrix.stride(0), bitmatrix.stride(1), # output [bitmatrix] + n_rows, n_cols, # shapes + scratchpad, BLOCK_S, s_blocks, # thing to memset to zero + BLOCK_M=BLOCK_M, BLOCK_N=BLOCK_N, # tunable parameter + APPLY_SOFTMAX=apply_softmax, N_EXPTS_PAD=n_cols_pad, N_EXPTS_ACT=k, # constants + ) + bitmatrix_shape = [n_rows, n_cols_words * 32] + bitmatrix_shape_max = [n_rows_max, None] + bitmatrix = Bitmatrix(bitmatrix, shape=bitmatrix_shape, shape_max=bitmatrix_shape_max, scratchpad=scratchpad) + return y_vals, y_indx, bitmatrix + + +def topk_backward(x, y_indx, dy_vals, k, n_rows, apply_softmax): + assert dy_vals.shape[-1] == k + n_expts_pad = triton.next_power_of_2(x.shape[-1]) + dx = torch.empty_like(x) + _topk_backward[(dy_vals.shape[0], )]( + y_indx, y_indx.stride(0), dy_vals, dy_vals.stride(0), x, x.stride(0), # inputs + dx, # outputs + dx.stride(0), x.shape[0], n_rows, x.shape[-1], APPLY_SOFTMAX=apply_softmax, N_EXPTS_ACT=k, + N_EXPTS_PAD=n_expts_pad) + return dx + + +class TopK(torch.autograd.Function): + + @staticmethod + def forward(ctx, x, k, apply_softmax, dim, return_bitmatrix, y_indx, n_rows): + y_vals, y_indx, bitmatrix = topk_forward(x, k, apply_softmax, dim, return_bitmatrix, y_indx, n_rows) + ctx.save_for_backward(x, y_indx) + ctx.apply_softmax = apply_softmax + ctx.k = k + ctx.n_rows = n_rows + return y_vals, y_indx, bitmatrix + + @staticmethod + def backward(ctx, dy_vals, _0, _1): + x, y_indx = ctx.saved_tensors + dx = topk_backward(x, y_indx, dy_vals, ctx.k, ctx.n_rows, ctx.apply_softmax) + return dx, None, None, None, None, None, None + + +def topk( + x: Union[Tensor, torch.Tensor], + k: int, + apply_softmax: bool = True, + dim: int = 1, + return_bitmatrix: bool = True, + y_indx: Optional[torch.Tensor] = None, + n_rows: Optional[int] = None, +): + """ + Computes the top-k values and indices along a specified dimension of a tensor. + Note that the input can be either a `Tensor` or a `torch.Tensor`, but the output will always be a `torch.Tensor`. + + Parameters + ---------- + x : Union[triton_kernels.Tensor, torch.Tensor] + Input tensor of shape (n_tokens, n_expts). + k : int + Number of top elements to retrieve. + apply_softmax : bool, default True + Whether to apply softmax to the input tensor before computing top-k. + dim : int, default 1 + Dimension along which to compute top-k. + return_bitmatrix : bool, default True + A bitmatrix of shape (n_tokens, cdiv(n_expts, 32)). + Each bit on [t, b] indicates whether the b-th expert was selected for the t-th token. + y_indx : torch.Tensor, optional + Pre-allocated tensor for storing indices of top-k elements with shape (n_tokens, k). + If provided, we skip the computation of top-k indices and use this tensor instead. + n_rows : int, optional + Number of rows to apply top-k on. If None, we consider all rows in `x`. + + Returns + ------- + (expt_scal, expt_indx, bitmatrix) : Tuple[torch.Tensor, torch.Tensor, Bitmatrix] + """ + ret = TopK.apply(x, k, apply_softmax, dim, return_bitmatrix, y_indx, n_rows) + return ret diff --git a/triton_kernels/topk_details/__init__.py b/triton_kernels/topk_details/__init__.py new file mode 100644 index 000000000000..6a41f2b81adb --- /dev/null +++ b/triton_kernels/topk_details/__init__.py @@ -0,0 +1,3 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/topk_details/__init__.py +# Triton is licensed under the MIT License. diff --git a/triton_kernels/topk_details/_topk_backward.py b/triton_kernels/topk_details/_topk_backward.py new file mode 100644 index 000000000000..f03166fb9ba6 --- /dev/null +++ b/triton_kernels/topk_details/_topk_backward.py @@ -0,0 +1,55 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/topk_details/_topk_backward.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + + +@triton.jit +def _topk_backward( + Yi, + stride_ym, # topk indices + DY, + stride_dym, # output gradient values + X, + stride_xm, # input values + DX, + stride_dxm, # input gradient values + n_rows, + NRows, + n_expts_tot, + APPLY_SOFTMAX: tl.constexpr, + N_EXPTS_ACT: tl.constexpr, + N_EXPTS_PAD: tl.constexpr, +): + pid_m = tl.program_id(0) + if NRows is not None: + n_rows = tl.load(NRows) + if pid_m >= n_rows: + return + Yi += pid_m * stride_ym + DY += pid_m * stride_dym + X += pid_m * stride_xm + DX += pid_m * stride_dxm + # -- + offs_xn = tl.arange(0, N_EXPTS_PAD) + offs_yn = tl.arange(0, N_EXPTS_ACT) + mask_xn = offs_xn < n_expts_tot + # recompute softmax + y_indx = tl.load(Yi + offs_yn) + x = tl.load(X + y_indx) + x = x.to(tl.float32) + y = tl.softmax(x) + # compute input-gradient + dy = tl.load(DY + offs_yn) + dy = dy.to(tl.float32) + s = tl.sum(y * dy, 0) + # write-back input gradient + tl.store(DX + offs_xn, 0, mask=mask_xn) + tl.debug_barrier() + if APPLY_SOFTMAX: + dx = y * (dy - s) + else: + dx = dy + tl.store(DX + y_indx, dx) diff --git a/triton_kernels/topk_details/_topk_forward.py b/triton_kernels/topk_details/_topk_forward.py new file mode 100644 index 000000000000..4ccdbd20833c --- /dev/null +++ b/triton_kernels/topk_details/_topk_forward.py @@ -0,0 +1,150 @@ +# This file is vendored from the Triton project. DO NOT EDIT THIS FILE DIRECTLY. +# Source: https://github.com/triton-lang/triton/tree/v3.5.1/python/triton_kernels/triton_kernels/topk_details/_topk_forward.py +# Triton is licensed under the MIT License. + +import triton +import triton.language as tl + + +@triton.jit +def get_topmask_and_fullmask(x): + tl.static_assert(x.dtype.is_int_unsigned(), "floating-point value must be passed as bits") + tm: tl.constexpr = 1 << (-1 + x.dtype.primitive_bitwidth) + fm: tl.constexpr = (1 << x.dtype.primitive_bitwidth) - 1 + tm_arr = tl.full(x.shape, tm, dtype=x.dtype) + fm_arr = tl.full(x.shape, fm, dtype=x.dtype) + return tm_arr, fm_arr + + +@triton.jit +def fpval_to_key(x): + tm, fm = get_topmask_and_fullmask(x) + return x ^ tl.where((x & tm) != 0, fm, tm) + + +@triton.jit +def key_to_fpval(x): + tm, fm = get_topmask_and_fullmask(x) + return x ^ tl.where((x & tm) == 0, fm, tm) + + +# stable top-k tie-breaks to value with smaller index +@triton.jit +def indx_to_key(indx, N_EXPTS_PAD: tl.constexpr): + return N_EXPTS_PAD - indx + + +@triton.jit +def key_to_indx(indx, N_EXPTS_PAD: tl.constexpr): + return N_EXPTS_PAD - indx + + +@triton.jit +def streaming_topk(X, stride_xm, n_expts_tot, offs_m, mask_m, N_EXPTS_PAD: tl.constexpr, N_EXPTS_ACT: tl.constexpr, + BLOCK_N: tl.constexpr): + x_nbits: tl.constexpr = X.dtype.element_ty.primitive_bitwidth + x_utype: tl.constexpr = tl.dtype(f"uint{x_nbits}") + if x_nbits < 16: + # this ensures that we leave at least 16 bits for expert index + # even if the input dtype is smaller than 16 bits: + y_nbits: tl.constexpr = 32 + else: + y_nbits: tl.constexpr = x_nbits * 2 + x_ultype: tl.constexpr = tl.dtype(f"uint{y_nbits}") + x_dtype: tl.constexpr = X.dtype.element_ty + + # subtract 1 from loop iterations because we peel the first (masked) iteration: + loop_iterations: tl.constexpr = N_EXPTS_PAD // BLOCK_N - 1 + offs_x_n = loop_iterations * BLOCK_N + tl.arange(0, BLOCK_N) + mask_n = offs_x_n[None, :] < n_expts_tot + + # first iteration: + X_ptrs = X + offs_m[:, None] * stride_xm + offs_x_n[None, :] + x = tl.load(X_ptrs, mask=(mask_m & mask_n), other=float("-inf")) + x = fpval_to_key(x.to(x_utype, bitcast=True)) + x = (x.to(x_ultype) << 16) | indx_to_key(offs_x_n, N_EXPTS_PAD)[None, :] + acc = tl.topk(x, N_EXPTS_ACT, dim=1) + + # subsequent iterations: + for _i in (tl.static_range if loop_iterations <= 4 else range)(loop_iterations): + acc = tl.bitonic_merge(acc) # ensure sorted ascending for the merge + X_ptrs -= BLOCK_N + offs_x_n -= BLOCK_N + x = tl.load(X_ptrs, mask=mask_m, other=float("-inf")) + x = fpval_to_key(x.to(x_utype, bitcast=True)) + x = (x.to(x_ultype) << 16) | indx_to_key(offs_x_n, N_EXPTS_PAD)[None, :] + acc = tl.maximum(acc, tl.topk(x, N_EXPTS_ACT, dim=1)) + + # rotate expert index into upper 16 bits: + # 0000vvvvvvvviiii --> iiii0000vvvvvvvv + acc = (acc << (y_nbits - 16)) | (acc >> 16) + # sort in ascending order of expert (descending order of key) + acc = tl.sort(acc, dim=1, descending=True) + # iiii0000vvvvvvvv --> 0000iiii: + y_indices_raw = (acc >> (y_nbits - 16)).to(tl.uint32) + y_indices = key_to_indx(y_indices_raw, N_EXPTS_PAD) + # iiii0000vvvvvvvv --> vvvvvvvv: + y_values_raw = acc.to(x_utype) + y_values = key_to_fpval(y_values_raw).to(x_dtype, bitcast=True) + + return y_values, y_indices + + +@triton.jit +def _topk_forward(X, stride_xm, # inputs + Yv, Yi, stride_ym, # topk values/indices + USE_PROVIDED_INDX: tl.constexpr, Bits, stride_rm: tl.constexpr, stride_rn: tl.constexpr, # bitmatrix + n_rows, n_expts_tot, # shape + S, BLOCK_S: tl.constexpr, s_blocks, # thing to memset + APPLY_SOFTMAX: tl.constexpr, # constant + BLOCK_M: tl.constexpr, N_EXPTS_PAD: tl.constexpr, N_EXPTS_ACT: tl.constexpr, BLOCK_N: tl.constexpr): + + pid = tl.program_id(0) + if isinstance(n_rows, tl.tensor) and n_rows.dtype.is_ptr(): + n_rows = tl.load(n_rows) + + if pid < s_blocks: + tl.store(S + BLOCK_S * pid + tl.arange(0, BLOCK_S), tl.zeros([BLOCK_S], tl.int32)) + + if pid * BLOCK_M >= n_rows: + # early exit: + return + + tl.static_assert(BLOCK_N % 32 == 0) + tl.static_assert(N_EXPTS_PAD % BLOCK_N == 0) + x_dtype: tl.constexpr = X.dtype.element_ty + + # load logits + offs_m = pid * BLOCK_M + tl.arange(0, BLOCK_M) + offs_y_n = tl.arange(0, N_EXPTS_ACT) + mask_m = offs_m[:, None] < n_rows + if USE_PROVIDED_INDX: + Yi_ptrs = Yi + offs_m[:, None] * stride_ym + offs_y_n[None, :] + y_indices = tl.load(Yi_ptrs, mask=mask_m) + Xv_ptrs = X + offs_m[:, None] * stride_xm + y_indices + y_values = tl.load(Xv_ptrs, mask=mask_m) + else: + y_values, y_indices = streaming_topk(X, stride_xm, n_expts_tot, offs_m, mask_m, # + N_EXPTS_PAD, N_EXPTS_ACT, BLOCK_N) + + # normalize selected values + if APPLY_SOFTMAX: + y_values = tl.softmax(y_values.to(tl.float32), dim=1, keep_dims=True).to(x_dtype) + + # write back + Yv_ptrs = Yv + offs_m[:, None] * stride_ym + offs_y_n[None, :] + tl.store(Yv_ptrs, y_values, mask=mask_m) + if not USE_PROVIDED_INDX: + Yi_ptrs = Yi + offs_m[:, None] * stride_ym + offs_y_n[None, :] + tl.store(Yi_ptrs, y_indices, mask=mask_m) + + # pack into bitmatrix + y_div = y_indices // 32 + y_rem = y_indices % 32 + loop_iterations = N_EXPTS_PAD // BLOCK_N + for i in range(loop_iterations): + offs_r_n = tl.arange(0, BLOCK_N // 32) + i * (BLOCK_N // 32) + y2 = tl.where(y_div[:, :, None] == offs_r_n[None, None, :], (1 << y_rem)[:, :, None], 0) + r = tl.reduce_or(y2, axis=1) + BitsPtrs = Bits + offs_m[:, None] * stride_rm + offs_r_n[None, :] * stride_rn + tl.store(BitsPtrs, r, mask=mask_m) From cf676678b97033651f7b3304e681c81975b09e35 Mon Sep 17 00:00:00 2001 From: Anish Shanbhag Date: Tue, 3 Feb 2026 17:08:22 -0800 Subject: [PATCH 106/241] [TRTLLM-10803][fix] Cherry-pick of #11200: Fix mocking of HuggingFace downloads in `with_mocked_hf_download` (#11201) Signed-off-by: Anish Shanbhag --- tests/test_common/llm_data.py | 19 +++++++++++++++++-- .../singlegpu/test_ad_speculative_decoding.py | 4 ++-- .../_torch/speculative/test_eagle3.py | 4 ++-- 3 files changed, 21 insertions(+), 6 deletions(-) diff --git a/tests/test_common/llm_data.py b/tests/test_common/llm_data.py index a58d7dc6c3a0..a3855b8e8c46 100644 --- a/tests/test_common/llm_data.py +++ b/tests/test_common/llm_data.py @@ -99,16 +99,31 @@ def mock_snapshot_download(repo_id: str, **kwargs) -> str: return local_path -def with_mocked_hf_download(func): +def with_mocked_hf_download_for_single_gpu(func): """Decorator to mock huggingface_hub.snapshot_download for tests. When applied, any calls to snapshot_download will be redirected to use local model paths from LLM_MODELS_ROOT instead of downloading from HuggingFace. + + NOTE: We must patch snapshot_download at the location where it's actually imported + with 'from huggingface_hub import snapshot_download', since that creates a + local binding that won't be affected by patching huggingface_hub.snapshot_download. + + Additionally sets HF_HUB_OFFLINE=1 to ensure no network requests are made to + HuggingFace. + + WARNING: This decorator only works for single-GPU tests. For multi-GPU tests, the + mock won't be applied in MPI worker processes. """ @wraps(func) def wrapper(*args, **kwargs): - with patch("huggingface_hub.snapshot_download", side_effect=mock_snapshot_download): + with ( + patch.dict(os.environ, {"HF_HUB_OFFLINE": "1"}), + patch( + "tensorrt_llm.llmapi.utils.snapshot_download", side_effect=mock_snapshot_download + ), + ): return func(*args, **kwargs) return wrapper diff --git a/tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_speculative_decoding.py b/tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_speculative_decoding.py index 81481e8f51dd..cb3655411abb 100644 --- a/tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_speculative_decoding.py +++ b/tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_speculative_decoding.py @@ -16,13 +16,13 @@ import pytest from _model_test_utils import get_small_model_config from build_and_run_ad import ExperimentConfig, main -from test_common.llm_data import with_mocked_hf_download +from test_common.llm_data import with_mocked_hf_download_for_single_gpu from tensorrt_llm.llmapi import DraftTargetDecodingConfig, KvCacheConfig @pytest.mark.parametrize("use_hf_speculative_model", [False, True]) -@with_mocked_hf_download +@with_mocked_hf_download_for_single_gpu def test_ad_speculative_decoding_smoke(use_hf_speculative_model: bool): """Test speculative decoding with AutoDeploy using the build_and_run_ad main().""" diff --git a/tests/unittest/_torch/speculative/test_eagle3.py b/tests/unittest/_torch/speculative/test_eagle3.py index c2d4cf50f4c1..7ef69a00be48 100644 --- a/tests/unittest/_torch/speculative/test_eagle3.py +++ b/tests/unittest/_torch/speculative/test_eagle3.py @@ -8,7 +8,7 @@ import pytest import torch -from test_common.llm_data import with_mocked_hf_download +from test_common.llm_data import with_mocked_hf_download_for_single_gpu from utils.llm_data import llm_models_root from tensorrt_llm import LLM, SamplingParams @@ -150,7 +150,7 @@ def test_kv_lens_runtime_with_eagle3_one_model(): [False, "TRTLLM", True, False, False, False, True, False, False, True], ]) @pytest.mark.high_cuda_memory -@with_mocked_hf_download +@with_mocked_hf_download_for_single_gpu def test_llama_eagle3(use_cuda_graph: bool, attn_backend: str, disable_overlap_scheduler: bool, enable_block_reuse: bool, use_one_model: bool, enable_chunked_prefill: bool, From 5a36856ff9139e3eb2c643e4499beb61e6480cb9 Mon Sep 17 00:00:00 2001 From: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> Date: Wed, 4 Feb 2026 16:26:24 +0800 Subject: [PATCH 107/241] [https://nvbugs/5815025][fix] Fix spec-dec mode flag and related cpp requirements (#10996) Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> --- cpp/tensorrt_llm/common/attentionOp.cpp | 8 -------- tensorrt_llm/_torch/pyexecutor/model_engine.py | 8 ++------ tensorrt_llm/_torch/speculative/interface.py | 14 ++++++-------- tests/integration/test_lists/waives.txt | 1 - 4 files changed, 8 insertions(+), 23 deletions(-) diff --git a/cpp/tensorrt_llm/common/attentionOp.cpp b/cpp/tensorrt_llm/common/attentionOp.cpp index 32a9332a0191..845ad8084c40 100644 --- a/cpp/tensorrt_llm/common/attentionOp.cpp +++ b/cpp/tensorrt_llm/common/attentionOp.cpp @@ -1271,14 +1271,6 @@ int AttentionOp::mlaGeneration( mXqaDispatcher->run(xqaParams, kv_cache_buffer, kv_scale_cache_buffer); return 0; } - else if (mIsSpecDecodingEnabled && mUseSpecDecoding) - { - TLLM_CHECK_WITH_INFO(false, "No available XQA kernels are found for speculative decoding mode."); - } - else if (mFuseFp4Quant) - { - TLLM_CHECK_WITH_INFO(false, "No available kernels are found for FP4 output."); - } } // Use FMHA otherwise. diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py index 6604dfb260f5..8663ffb53b5c 100644 --- a/tensorrt_llm/_torch/pyexecutor/model_engine.py +++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py @@ -3246,13 +3246,9 @@ def forward(self, no_cache=kv_cache_manager is None) # attn_metadata now depends on spec_metadata since it determines the shape/content of spec_dec parameter Tensors - enable_mla = is_mla(self.model.model_config.pretrained_config) is_spec_dec_mode = spec_metadata.spec_dec_mode.attention_need_spec_dec_mode( - spec_resource_manager, - self.is_draft_model, - self.attn_backend, - self.model_is_wrapped, - is_mla=enable_mla) + spec_resource_manager, self.is_draft_model, self.attn_backend, + self.model_is_wrapped) attn_metadata.update_spec_dec_param( batch_size=scheduled_requests.batch_size, is_spec_decoding_enabled=is_spec_dec_mode, diff --git a/tensorrt_llm/_torch/speculative/interface.py b/tensorrt_llm/_torch/speculative/interface.py index 5037057699ed..fe59ca865f72 100644 --- a/tensorrt_llm/_torch/speculative/interface.py +++ b/tensorrt_llm/_torch/speculative/interface.py @@ -146,12 +146,11 @@ def extend_ctx(self, attention_backend: Type[AttentionBackend]): TrtllmAttention) or not xqa_supported def attention_need_spec_dec_mode( - self, - spec_resource_manager: Optional[BaseResourceManager], - is_draft_model: bool, - attention_backend: Type[AttentionBackend], - use_chain_drafter: bool, # CDL - is_mla: bool, + self, + spec_resource_manager: Optional[BaseResourceManager], + is_draft_model: bool, + attention_backend: Type[AttentionBackend], + use_chain_drafter: bool, # CDL ): """ If true, the attention backend kernel needs to run in spec-dec mode (multi-token query mode). @@ -164,8 +163,7 @@ def attention_need_spec_dec_mode( is_trtllm_attention = issubclass(attention_backend, TrtllmAttention) # Always use the multi-token query mode for 1-model if the kernels are available. - xqa_supported = not is_mla or get_sm_version() < 120 - use_case_1 = self.use_one_engine() and xqa_supported + use_case_1 = self.use_one_engine() # For 2-model, we need to enable it when we process multiple tokens at once. This occurs with # the target model (verification) or on the first draft for CDL based speculation. use_case_2 = not self.use_one_engine() and ( diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index fa6591f49ff4..2816b65d3720 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -320,7 +320,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_m accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[two_model] SKIP (https://nvbugs/5756028) accuracy/test_llm_api_pytorch.py::TestLlama3_2_1B::test_fp8_prequantized SKIP (https://nvbugs/5785465) accuracy/test_llm_api_pytorch.py::TestMinistral8BInstruct::test_fp8 SKIP (https://nvbugs/5785485) -accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=True-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[eagle3_one_model=False-torch_compile=False] SKIP (https://nvbugs/5787892) accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=True] SKIP (https://nvbugs/5791839) accuracy/test_llm_api_pytorch.py::TestLlama4MaverickInstruct::test_fp8_chunked_prefill[tp8ep8-cuda_graph=False] SKIP (https://nvbugs/5795918) From a3a293b6252b1874406bfe10bd955de1af36ed2b Mon Sep 17 00:00:00 2001 From: Stefan Niebler <82932102+stnie@users.noreply.github.com> Date: Wed, 4 Feb 2026 13:27:29 +0100 Subject: [PATCH 108/241] [TRTLLM-8425][doc] Update sampling documentation (#10083) (#11270) Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com> --- docs/source/features/sampling.md | 70 ++++++++++++++++++++++++++------ 1 file changed, 57 insertions(+), 13 deletions(-) diff --git a/docs/source/features/sampling.md b/docs/source/features/sampling.md index 5d6db8626b9a..1db9455305f6 100644 --- a/docs/source/features/sampling.md +++ b/docs/source/features/sampling.md @@ -1,19 +1,50 @@ # Sampling -The PyTorch backend supports most of the sampling features that are supported on the C++ backend, such as temperature, top-k and top-p sampling, beam search, stop words, bad words, penalty, context and generation logits, log probability and logits processors + +The PyTorch backend supports a wide variety of features, listed below: + +| Forward Pass | Sampling Strategies | Sampling Features | +|--------------------|----------------------------------|--------------------------------| +| No drafting | Greedy | Guided Decoding | +| Draft target model | TopP | Plugging Logits Post-Processor | +| Eagle 3 | TopK | Temperature | +| Ngram | TopK + TopP | MinP | +| | Beam Search | Embedding / Logits Bias | +| | Best of / n (composable) | Stop criteria | +| | Rejection sampling (composable) | Return Logits | +| | | Return LogProbs | +| | | TopK LogProbs | ## General usage -To use the feature: +There are two sampling backends available. -1. Enable the `enable_trtllm_sampler` option in the `LLM` class -2. Pass a [`SamplingParams`](source:tensorrt_llm/sampling_params.py#L125) object with the desired options to the `generate()` function +* Torch Sampler +* TRTLLM Sampler -The following example prepares two identical prompts which will give different results due to the sampling parameters chosen: +Torch Sampler currently supports a superset of features of TRTLLM Sampler, and is intended as the long-term solution. One can specify which sampler to use explicitly with: ```python -from tensorrt_llm import LLM, SamplingParams +from tensorrt_llm import LLM + +# Chooses TorchSampler explicitly llm = LLM(model='nvidia/Llama-3.1-8B-Instruct-FP8', - enable_trtllm_sampler=True) + sampler_type="TorchSampler") + +# Chooses TRTLLMSampler explicitly +llm = LLM(model='nvidia/Llama-3.1-8B-Instruct-FP8', + sampler_type="TRTLLMSampler") +``` + +By default, the sampling backend is chosen to be `auto`. This will use: + +* TRTLLM Sampler when using Beam Search. +* Torch Sampler otherwise. + +Here is an example to run a model with basic usage of sampling parameters. This example prepares two identical prompts which will give different results due to the sampling parameters chosen: + +```python +from tensorrt_llm import LLM, SamplingParams +llm = LLM(model='nvidia/Llama-3.1-8B-Instruct-FP8') sampling_params = SamplingParams( temperature=1.0, top_k=8, @@ -23,7 +54,24 @@ llm.generate(["Hello, my name is", "Hello, my name is"], sampling_params) ``` -Note: The `enable_trtllm_sampler` option is not currently supported when using speculative decoders, such as MTP or Eagle-3, so there is a smaller subset of sampling options available. +It is also possible to specify different sampling parameters on a per-prompt basis: + +```python +from tensorrt_llm import LLM, SamplingParams +llm = LLM(model='nvidia/Llama-3.1-8B-Instruct-FP8') +sampling_params_0 = SamplingParams( + temperature=1.0, + top_k=8, + top_p=0.5, + ) +sampling_params_1 = SamplingParams( + top_k=4, + ) +llm.generate(["Hello, my name is", + "Hello, my name is"], + [sampling_params_0, + sampling_params_1]) +``` ### LLM API sampling behavior when using Torch Sampler @@ -79,8 +127,6 @@ To enable beam search, you must: 1. Enable the `use_beam_search` option in the `SamplingParams` object 2. Set the `max_beam_width` parameter in the `LLM` class to match the `best_of` parameter in `SamplingParams` -3. Disable overlap scheduling using the `disable_overlap_scheduler` parameter of the `LLM` class -4. Disable the usage of CUDA Graphs by passing `None` to the `cuda_graph_config` parameter of the `LLM` class Parameter Configuration: - `best_of`: Controls the number of beams processed during generation (beam width) @@ -93,10 +139,8 @@ The following example demonstrates beam search with a beam width of 4, returning ```python from tensorrt_llm import LLM, SamplingParams llm = LLM(model='nvidia/Llama-3.1-8B-Instruct-FP8', - enable_trtllm_sampler=True, max_beam_width=4, # must equal SamplingParams.best_of - disable_overlap_scheduler=True, - cuda_graph_config=None) + ) sampling_params = SamplingParams( best_of=4, # must equal LLM.max_beam_width use_beam_search=True, From adb133b4cfce897b47be36a75fa5291d42295e68 Mon Sep 17 00:00:00 2001 From: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> Date: Thu, 5 Feb 2026 10:48:27 +0800 Subject: [PATCH 109/241] [https://nvbugs/5821433][fix] complete WAR for popen in QA env (#11214) Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com> --- tests/integration/defs/disaggregated/test_auto_scaling.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/tests/integration/defs/disaggregated/test_auto_scaling.py b/tests/integration/defs/disaggregated/test_auto_scaling.py index 038049109ddd..4821ee847638 100644 --- a/tests/integration/defs/disaggregated/test_auto_scaling.py +++ b/tests/integration/defs/disaggregated/test_auto_scaling.py @@ -2,7 +2,6 @@ import os import shutil import subprocess -import sys import tempfile import traceback import uuid @@ -187,14 +186,13 @@ def run_disagg_server(disagg_cluster_config, work_dir, port=0, save_log=False): cmds = ["trtllm-serve", "disaggregated", "-c", disagg_server_config_path] log_file = None log_path = None + stdout = None + stderr = None if save_log: log_path = os.path.join(work_dir, "disagg_server.log") log_file = open(log_path, "w+") stdout = log_file stderr = log_file - else: - stdout = sys.stdout - stderr = sys.stderr p = subprocess.Popen(cmds, stdout=stdout, stderr=stderr) return ProcessWrapper(p, log_file=log_file, log_path=log_path, port=port) From 2ffc0689c58c1fd8c2ae50fda5bd94c3b95622ac Mon Sep 17 00:00:00 2001 From: xxi <95731198+xxi-nv@users.noreply.github.com> Date: Thu, 5 Feb 2026 12:34:34 +0800 Subject: [PATCH 110/241] [None][chore] Pass without_comm to cutlass and deepgemm (#11245) --- .../modules/fused_moe/configurable_moe.py | 33 +++---------------- .../_torch/modules/fused_moe/create_moe.py | 2 ++ .../modules/fused_moe/fused_moe_cutlass.py | 7 +++- 3 files changed, 13 insertions(+), 29 deletions(-) diff --git a/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py b/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py index d0fbd6485655..153eff2539d4 100644 --- a/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py +++ b/tensorrt_llm/_torch/modules/fused_moe/configurable_moe.py @@ -312,7 +312,7 @@ def determine_communication_method( 2. Validates if current AllToAll strategy can be used for given workload 3. Falls back to AllGather if current strategy cannot be used (logs info message) - After calling this method, use _is_using_alltoall() to check which method is active. + After calling this method, use enable_alltoall to check which method is active. Args: all_rank_num_tokens: Token counts per rank @@ -347,23 +347,6 @@ def determine_communication_method( # Switch to AllGather (always works) self.comm = AllGatherReduceScatter(mapping=self.mapping) - def _is_using_alltoall(self) -> bool: - """ - Check if current communication strategy uses alltoall - - Returns: - True: Strategy uses alltoall (NVLINK, DeepEP, etc.) - False: Strategy uses allgather (AllGatherReduceScatter or None) - - Note: Can be called anytime. If comm is None, returns False (no alltoall). - Typically called after determine_communication_method() to get accurate result. - """ - if self.comm is None: - return False # No strategy means no alltoall - - # AllGather uses allgather, all others use alltoall - return not isinstance(self.comm, AllGatherReduceScatter) - def _create_comm_strategy_auto(self) -> Communication: """ Auto-create the best communication strategy based on hardware and configuration @@ -792,11 +775,7 @@ def _forward_multiple_chunks( Same as original implementation - chunking logic is backend-agnostic - Note: use_all_to_all is determined internally via _is_using_alltoall() - """ - # Determine if using alltoall - use_all_to_all = self._is_using_alltoall() # ========== Chunk preparation ========== if self.use_dp: # When using DP: need all ranks' token counts for reducescatter @@ -810,7 +789,7 @@ def _forward_multiple_chunks( chunk_size_list = all_rank_chunk_size_list[self.rank] # For alltoall, replace 0 with 1 (avoid empty tensor) - if use_all_to_all: + if self.enable_alltoall: all_rank_num_tokens_list = [ [1 if val == 0 else val for val in val_list] for val_list in all_rank_num_tokens_list @@ -824,7 +803,7 @@ def _forward_multiple_chunks( router_logits_list = router_logits.split(chunk_size_list) # Determine if we need multiple streams for overlapped execution - use_multi_stream = not use_all_to_all and self.aux_stream is not None + use_multi_stream = not self.enable_alltoall and self.aux_stream is not None # ========== Setup auxiliary stream ========== if use_multi_stream: @@ -1064,7 +1043,8 @@ def _get_backend_kwargs( # Only the non-alltoall case is considered for profiling in the warmup phase. # Therefore, to get the correct tactics during the actual inference, the inputs to the tuner # should be the same as when not using alltoall. - if self._is_using_alltoall(): + kwargs["enable_alltoall"] = self.enable_alltoall + if self.enable_alltoall: if all_rank_num_tokens is not None: kwargs["tuner_num_tokens"] = sum(all_rank_num_tokens) else: @@ -1072,9 +1052,6 @@ def _get_backend_kwargs( x.shape[0] * self.mapping.tp_size if x is not None else None ) kwargs["tuner_top_k"] = self.routing_method.top_k - else: - kwargs["tuner_num_tokens"] = None - kwargs["tuner_top_k"] = None # Get moe_output for NVLinkOneSided backend kwargs["moe_output"] = self._get_nvlink_onesided_moe_output( diff --git a/tensorrt_llm/_torch/modules/fused_moe/create_moe.py b/tensorrt_llm/_torch/modules/fused_moe/create_moe.py index 530d903ad354..a25c639c53be 100644 --- a/tensorrt_llm/_torch/modules/fused_moe/create_moe.py +++ b/tensorrt_llm/_torch/modules/fused_moe/create_moe.py @@ -195,6 +195,7 @@ def create_moe_backend( swiglu_beta=swiglu_beta, swiglu_limit=swiglu_limit, init_load_balancer=init_load_balancer, + without_comm=without_comm, activation_type=activation_type, ) elif moe_cls == WideEPMoE: @@ -255,6 +256,7 @@ def create_moe_backend( weight_loading_mode=weight_loading_mode, apply_router_weight_on_input=apply_router_weight_on_input, layer_idx=layer_idx, + without_comm=without_comm, ) elif moe_cls == TritonFusedMoE: assert not apply_router_weight_on_input, "apply_router_weight_on_input is not supported in TritonFusedMoE." diff --git a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_cutlass.py b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_cutlass.py index 41eacfe65c39..b0a54e4e0d52 100755 --- a/tensorrt_llm/_torch/modules/fused_moe/fused_moe_cutlass.py +++ b/tensorrt_llm/_torch/modules/fused_moe/fused_moe_cutlass.py @@ -403,6 +403,7 @@ def run_moe( tuner_num_tokens: Optional[int] = None, tuner_top_k: Optional[int] = None, moe_output: Optional[torch.Tensor] = None, + enable_alltoall: Optional[bool] = None, ) -> torch.Tensor: """ Run MoE computation with Cutlass backend. @@ -421,6 +422,7 @@ def run_moe( tuner_num_tokens: Number of tokens for profiling tuner (optional) tuner_top_k: Top-k value for profiling tuner (optional) moe_output: Pre-allocated output buffer (optional) + enable_alltoall: Whether alltoall communication is enabled (optional). If None, defaults to self.enable_alltoall. Returns: final_hidden_states: Output tensor from MoE computation @@ -433,6 +435,9 @@ def run_moe( elif self.has_w4a16_mxfp4: weight_dtype = torch.uint8 + if enable_alltoall is None: + enable_alltoall = self.enable_alltoall + result = torch.ops.trtllm.fused_moe( x, token_selected_experts, @@ -454,7 +459,7 @@ def run_moe( ep_rank=self.ep_rank, cluster_size=self.cluster_size, cluster_rank=self.cluster_rank, - enable_alltoall=self.enable_alltoall, + enable_alltoall=enable_alltoall, use_deepseek_fp8_block_scale=self.has_deepseek_fp8_block_scales, use_w4_group_scaling=self.has_w4afp8 or self.has_w4a16_mxfp4, use_int8_woq_per_channel=self.has_int8_woq_per_channel, From b60949f58969ccc2fddd03940ae19423457ad4e9 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 5 Feb 2026 04:35:38 +0000 Subject: [PATCH 111/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/auto_deploy/poetry.lock | 12 +-- .../examples/draft_target_model/poetry.lock | 12 +-- security_scanning/examples/eagle/poetry.lock | 12 +-- .../llm-eval/lm-eval-harness/poetry.lock | 12 +-- .../examples/lookahead/poetry.lock | 12 +-- security_scanning/examples/medusa/poetry.lock | 12 +-- .../models/contrib/baichuan/poetry.lock | 12 +-- .../examples/models/contrib/bloom/poetry.lock | 12 +-- .../models/contrib/chatglm-6b/poetry.lock | 12 +-- .../models/contrib/chatglm2-6b/poetry.lock | 12 +-- .../contrib/chatglm3-6b-32k/poetry.lock | 12 +-- .../examples/models/contrib/dbrx/poetry.lock | 12 +-- .../models/contrib/deepseek_v1/poetry.lock | 12 +-- .../models/contrib/deepseek_v2/poetry.lock | 12 +-- .../models/contrib/falcon/poetry.lock | 14 +-- .../models/contrib/falcon/pyproject.toml | 2 +- .../examples/models/contrib/gptj/poetry.lock | 12 +-- .../models/contrib/gptneox/poetry.lock | 12 +-- .../examples/models/contrib/grok/poetry.lock | 26 +++--- .../models/contrib/hyperclovax/poetry.lock | 12 +-- .../models/contrib/internlm/poetry.lock | 12 +-- .../examples/models/contrib/jais/poetry.lock | 12 +-- .../examples/models/contrib/mmdit/poetry.lock | 12 +-- .../examples/models/contrib/mpt/poetry.lock | 12 +-- .../examples/models/contrib/opt/poetry.lock | 12 +-- .../models/contrib/skywork/poetry.lock | 12 +-- .../examples/models/contrib/smaug/poetry.lock | 12 +-- .../examples/models/contrib/stdit/poetry.lock | 12 +-- .../examples/models/core/commandr/poetry.lock | 12 +-- .../examples/models/core/gemma/poetry.lock | 12 +-- .../examples/models/core/glm-4-9b/poetry.lock | 12 +-- .../examples/models/core/gpt/poetry.lock | 12 +-- .../examples/models/core/llama/poetry.lock | 12 +-- .../examples/models/core/mamba/poetry.lock | 12 +-- .../examples/models/core/mixtral/poetry.lock | 6 +- .../examples/models/core/mllama/poetry.lock | 6 +- .../examples/models/core/nemotron/poetry.lock | 12 +-- .../examples/models/core/phi/poetry.lock | 12 +-- .../examples/models/core/qwen/poetry.lock | 57 ++++++------ .../models/core/qwen2audio/poetry.lock | 12 +-- .../examples/models/core/qwenvl/poetry.lock | 12 +-- .../models/core/recurrentgemma/poetry.lock | 12 +-- .../examples/models/core/whisper/poetry.lock | 12 +-- security_scanning/examples/ngram/poetry.lock | 12 +-- .../examples/quantization/poetry.lock | 12 +-- .../examples/redrafter/poetry.lock | 12 +-- security_scanning/examples/serve/poetry.lock | 12 +-- .../examples/trtllm-eval/poetry.lock | 12 +-- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 90 ++++++++----------- security_scanning/pyproject.toml | 1 - security_scanning/triton_backend/poetry.lock | 6 +- 53 files changed, 354 insertions(+), 368 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 24a2e69acec9..ec6069fd23ee 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -471,14 +471,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index a87cc10e4995..5320cb10a5ec 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1061,14 +1061,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -3906,14 +3906,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index b151edc45b64..7c125a52f56c 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index b51a71038324..0969e22b9c11 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1980,14 +1980,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index d9bc44438281..05b0ef2081de 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -916,14 +916,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -3619,14 +3619,14 @@ pyyaml = ["pyyaml"] [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index b151edc45b64..7c125a52f56c 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index b151edc45b64..7c125a52f56c 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index a842bbca2b20..64ea8ef57d2b 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -808,14 +808,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2104,14 +2104,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 50d22d6c0c1e..3b2b3a86031c 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - 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{file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2098,14 +2098,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 7bdf768d6922..1d6e7bb3d7b9 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1978,14 +1978,14 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index 3cc31c950231..953b6033afac 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index aafc7c5e3606..719d3ef28e6d 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index e5780828584e..3bcd3246158e 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2009,14 +2009,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] @@ -2455,4 +2455,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "ceec65525939f27ec1ec2892b4c6423a0df02d8d52317733a2f5eb7bd07e83e5" +content-hash = "9fdd64cff9a4ce97a8ed5b0fa4a6a529068b558aeb6e44fd72166bcbff224a21" diff --git a/security_scanning/examples/models/contrib/falcon/pyproject.toml b/security_scanning/examples/models/contrib/falcon/pyproject.toml index 2afa5a9c4819..f3482d3e7d12 100644 --- a/security_scanning/examples/models/contrib/falcon/pyproject.toml +++ b/security_scanning/examples/models/contrib/falcon/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "evaluate (>=0.4.6,<0.5.0)", "rouge-score (>=0.1.2,<0.2.0)", "sentencepiece (>=0.1.99)", - "tqdm (>=4.67.2,<5.0.0)" + "tqdm (>=4.67.3,<5.0.0)" ] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index 3cc31c950231..953b6033afac 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index cdc63c501bab..b131a280bcef 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index dc491ddc70e9..9e14f5c453f0 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -911,14 +911,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1703,15 +1703,15 @@ files = [ [[package]] name = "nvidia-cudnn-cu12" -version = "9.18.1.3" +version = "9.19.0.56" description = "cuDNN runtime libraries" optional = false python-versions = ">=3" groups = ["main"] files = [ - {file = "nvidia_cudnn_cu12-9.18.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:6966836f89c41fb4ad67361b5c5f3bf81eccf2b45d46f3b9eb84e8b7557263a7"}, - {file = "nvidia_cudnn_cu12-9.18.1.3-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:733df57fc960e18f8dd27168e0e5495ef80a9d01d34647fb6774acc0cbee86e5"}, - {file = "nvidia_cudnn_cu12-9.18.1.3-py3-none-win_amd64.whl", hash = "sha256:0b2d0f64afc2eccc4f3e6442c78a0de92359a320d9f12bb95e441133b9260b12"}, + {file = "nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:08caaf27fe556aca82a3ee3b5aa49a77e7de0cfcb7ff4e5c29da426387a8267e"}, + {file = "nvidia_cudnn_cu12-9.19.0.56-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:ac6ad90a075bb33a94f2b4cf4622eac13dd4dc65cf6dd9c7572a318516a36625"}, + {file = "nvidia_cudnn_cu12-9.19.0.56-py3-none-win_amd64.whl", hash = "sha256:cec70596b9ce878fab83810c3f5a2e606d35f510e5fee579759e4cbc68a23750"}, ] [package.dependencies] @@ -1769,14 +1769,14 @@ nvidia-nvjitlink-cu12 = "*" [[package]] name = "nvidia-nccl-cu12" -version = "2.29.2" +version = "2.29.3" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" groups = ["main"] files = [ - {file = "nvidia_nccl_cu12-2.29.2-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:0712e55c067965c6093cc793a9bbcc5f37b5b47248e9ebf8ae3af06867757587"}, - 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{file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1290,14 +1290,14 @@ scipy = ["scipy"] [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index b151edc45b64..7c125a52f56c 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 50d22d6c0c1e..3b2b3a86031c 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -2004,14 +2004,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index dcf0d8605521..699c1152dfc1 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -388,14 +388,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -996,14 +996,14 @@ testing = ["datasets", "numpy", "pytest", "pytest-asyncio", "requests", "ruff", [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index 3cc31c950231..953b6033afac 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - 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{file = "huggingface_hub-1.3.7-py3-none-any.whl", hash = "sha256:8155ce937038fa3d0cb4347d752708079bc85e6d9eb441afb44c84bcf48620d2"}, - {file = "huggingface_hub-1.3.7.tar.gz", hash = "sha256:5f86cd48f27131cdbf2882699cbdf7a67dd4cbe89a81edfdc31211f42e4a5fd1"}, + {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, + {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, ] [package.dependencies] @@ -1925,14 +1925,14 @@ files = [ [[package]] name = "tqdm" -version = "4.67.2" +version = "4.67.3" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tqdm-4.67.2-py3-none-any.whl", hash = "sha256:9a12abcbbff58b6036b2167d9d3853042b9d436fe7330f06ae047867f2f8e0a7"}, - {file = "tqdm-4.67.2.tar.gz", hash = "sha256:649aac53964b2cb8dec76a14b405a4c0d13612cb8933aae547dd144eacc99653"}, + {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"}, + {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 50d22d6c0c1e..3b2b3a86031c 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.3.7" +version = "1.4.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - 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centralized config for all GPU-specific parameters GPU_RESOURCE_CONFIG = { - # OCI GB200 - "GB200": { - "slurm_extra_args": "--gres=gpu:4", # SLURM extra arguments (empty string if not required) + "GB200": { # OCI GB200 + "slurm_extra_args": "--gres=gpu:4", "set_segment": True, - "lock_freq_graphics_mhz": 2062, # GPU graphics clock lock frequency (MHz) - "lock_freq_memory_mhz": 3996, # GPU memory clock lock frequency (MHz) + "lock_freq_graphics_mhz": 2062, + "lock_freq_memory_mhz": 3996, }, - # Lyris GB200 - "GB200_LYRIS": { - "slurm_extra_args": "", # GB300 does not require extra args + "GB200_LYRIS": { # Lyris GB200 + "slurm_extra_args": "", "set_segment": True, - "lock_freq_graphics_mhz": None, # TODO: Set GB300 lock frequency + "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - # Lyris GB300 - "GB300": { - "slurm_extra_args": "", # GB300 does not require extra args + "GB300": { # Lyris GB300 + "slurm_extra_args": "", "set_segment": True, - "lock_freq_graphics_mhz": None, # TODO: Set GB300 lock frequency + "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - # H100 "H100": { - "slurm_extra_args": "", # H100 does not require extra args + "slurm_extra_args": "", "set_segment": False, - "lock_freq_graphics_mhz": None, # TODO: Set H100 lock frequency + "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - # B200 - "B200": { + "B200": { # OCI B200 "slurm_extra_args": "--gres=gpu:4", "set_segment": False, - "lock_freq_graphics_mhz": None, # TODO: Set B200 lock frequency + "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - # B300 - "B300": { + "B300": { # OCI B300 "slurm_extra_args": "--gres=gpu:4", "set_segment": False, - "lock_freq_graphics_mhz": None, # TODO: Set B300 lock frequency + "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, } @@ -67,7 +60,18 @@ def get_slurm_account() -> str: @staticmethod def get_slurm_job_name() -> str: - return os.getenv("SLURM_JOB_NAME", "unified-benchmark") + """Get SLURM job name: {SLURM_ACCOUNT}-{base}. + + Example: myaccount-unified.benchmark + Customize base via SLURM_JOB_BASE_NAME env var (default: unified.benchmark) + """ + account = EnvManager.get_slurm_account() + base = os.getenv("SLURM_JOB_BASE_NAME", "unified.benchmark") + + # Only use account as prefix if it's set and not a placeholder + if account and not account.startswith("<"): + return f"{account}-{base}" + return base @staticmethod def get_slurm_set_segment() -> bool: From baa2abfbbd8615929840168d047bee2aa8224fd6 Mon Sep 17 00:00:00 2001 From: Yechan Kim <161688079+yechank-nvidia@users.noreply.github.com> Date: Thu, 5 Feb 2026 17:45:07 +0900 Subject: [PATCH 113/241] [https://nvbugs/5845769][fix] B300(sm103) support on VLMs (#11274) Signed-off-by: yechank <161688079+yechank-nvidia@users.noreply.github.com> --- .../fused_multihead_attention_v2.cpp | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_v2.cpp b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_v2.cpp index bef395a4e37a..648e32729072 100644 --- a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_v2.cpp +++ b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fused_multihead_attention_v2.cpp @@ -565,6 +565,11 @@ FusedMultiHeadAttentionXMMAKernelV2 const* getXMMAKernelsV2(Data_type inputType, { sm = kSM_120; } + // SM103 uses SM100 FMHA v2 kernels + if (sm == kSM_103) + { + sm = kSM_100; + } return FusedMHAKernelFactoryV2::Get().getXMMAKernels( sMhaKernelMetaInfosV2, sMhaKernelMetaInfosV2Size, inputType, outputType, sm); } From 46b890af7799969d2486faabaa517adf97b3caa7 Mon Sep 17 00:00:00 2001 From: dongfengy <99041270+dongfengy@users.noreply.github.com> Date: Thu, 5 Feb 2026 00:56:43 -0800 Subject: [PATCH 114/241] [https://nvbugs/5830877][fix] Use the best (correct) config for GPTOSS perf test (#11046) Signed-off-by: Dongfeng Yu --- tests/integration/defs/perf/pytorch_model_config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/integration/defs/perf/pytorch_model_config.py b/tests/integration/defs/perf/pytorch_model_config.py index baf05df2fac7..ccda28db2fd4 100644 --- a/tests/integration/defs/perf/pytorch_model_config.py +++ b/tests/integration/defs/perf/pytorch_model_config.py @@ -270,7 +270,7 @@ def get_model_yaml_config(model_label: str, 'max_batch_size': 720, }, 'moe_config': { - 'backend': 'CUTLASS' + 'backend': 'TRTLLM' }, 'stream_interval': 10, 'num_postprocess_workers': 4 From adb8bcbe89caf316f16fe3a9feca1ce08b66ecf5 Mon Sep 17 00:00:00 2001 From: Bo Deng Date: Thu, 5 Feb 2026 23:25:48 +0800 Subject: [PATCH 115/241] [https://nvbugs/5826890][fix] Warm-up before disagg benchmarking (Cherry-picked from https://github.com/NVIDIA/TensorRT-LLM/pull/10712) (#11310) Signed-off-by: Bo Deng --- .../slurm/benchmark/run_benchmark.sh | 24 ++++++++++++++++--- .../slurm/benchmark/run_benchmark_nv_sa.sh | 18 ++++++++++++++ .../disaggregated/slurm/benchmark/submit.py | 7 +++--- 3 files changed, 43 insertions(+), 6 deletions(-) diff --git a/examples/disaggregated/slurm/benchmark/run_benchmark.sh b/examples/disaggregated/slurm/benchmark/run_benchmark.sh index fdf71b6ac11c..7b0bee3a9e3b 100644 --- a/examples/disaggregated/slurm/benchmark/run_benchmark.sh +++ b/examples/disaggregated/slurm/benchmark/run_benchmark.sh @@ -6,9 +6,9 @@ set -u trap 'echo "Error occurred at line $LINENO"; exit 1' ERR # Add parameter validation -if [ "$#" -lt 9 ]; then - echo "Error: Missing required arguments" - echo "Usage: $0 model_name dataset_file multi_round concurrency_list streaming log_path hostname port" +if [ "$#" -lt 10 ]; then + echo "Error: Missing required arguments, got $# arguments, args: $@" + echo "Usage: $0 model_name dataset_file multi_round num_gen_servers concurrency_list streaming log_path hostname port ucx_warmup_requests" exit 1 fi @@ -21,6 +21,7 @@ streaming=$6 log_path=$7 hostname=$8 port=$9 +ucx_warmup_requests=${10} # check process id is not 0 if [[ ${SLURM_PROCID} != "0" ]]; then @@ -28,6 +29,23 @@ if [[ ${SLURM_PROCID} != "0" ]]; then exit 0 fi +# warmup requests for ucx connections +if [ "${ucx_warmup_requests}" -gt 0 ]; then + echo "warming up ucx connections with small requests... ${ucx_warmup_requests}" + python -m tensorrt_llm.serve.scripts.benchmark_serving \ + --model ${model_name} \ + --dataset-name random \ + --random-ids \ + --random-input-len 100 \ + --random-output-len 10 \ + --num-prompts ${ucx_warmup_requests} \ + --host ${hostname} \ + --port ${port} \ + --ignore-eos \ + --non-streaming + echo "UCX warmup done" +fi + echo "Hostname: ${hostname}, Port: ${port}" echo "Starting benchmark..." for concurrency in ${concurrency_list}; do diff --git a/examples/disaggregated/slurm/benchmark/run_benchmark_nv_sa.sh b/examples/disaggregated/slurm/benchmark/run_benchmark_nv_sa.sh index ef3ea39f6ba7..98e089f8a87c 100644 --- a/examples/disaggregated/slurm/benchmark/run_benchmark_nv_sa.sh +++ b/examples/disaggregated/slurm/benchmark/run_benchmark_nv_sa.sh @@ -42,6 +42,7 @@ streaming=$8 log_path=$9 hostname=${10} port=${11} +ucx_warmup_requests=${12} # check process id is not 0 if [[ ${SLURM_PROCID} != "0" ]]; then @@ -59,6 +60,23 @@ fi echo "Cloning benchmark repository..." git clone "${BENCH_SERVING_REPO}" "${BENCH_SERVING_DIR}" +# warmup requests for ucx connections +if [ "${ucx_warmup_requests}" -gt 0 ]; then + echo "warming up ucx connections with small requests... ${ucx_warmup_requests}" + python -m tensorrt_llm.serve.scripts.benchmark_serving \ + --model ${model_name} \ + --dataset-name random \ + --random-ids \ + --random-input-len 100 \ + --random-output-len 10 \ + --num-prompts ${ucx_warmup_requests} \ + --host ${hostname} \ + --port ${port} \ + --ignore-eos \ + --non-streaming + echo "UCX warmup done" +fi + # Run benchmarks echo "Starting benchmark..." for concurrency in ${concurrency_list}; do diff --git a/examples/disaggregated/slurm/benchmark/submit.py b/examples/disaggregated/slurm/benchmark/submit.py index a12e675134bd..5128a6aed8d0 100644 --- a/examples/disaggregated/slurm/benchmark/submit.py +++ b/examples/disaggregated/slurm/benchmark/submit.py @@ -198,7 +198,8 @@ def submit_job(config, log_dir, dry_run): gen_pp_size = worker_config['gen'].get('pipeline_parallel_size', 1) gen_world_size = gen_tp_size * gen_cp_size * gen_pp_size gen_nodes = calculate_nodes(gen_world_size, gen_num, gpus_per_node) - + ucx_warmup_requests = 2 * ctx_world_size * \ + gen_world_size if benchmark_config['mode'] == "e2e" else 0 total_nodes = ctx_nodes + gen_nodes total_tasks = total_nodes * gpus_per_node @@ -343,14 +344,14 @@ def submit_job(config, log_dir, dry_run): if benchmark_config['use_nv_sa_benchmark']: benchmark_cmd = [ f"bash {env_config['work_dir']}/run_benchmark_nv_sa.sh", - f"'{env_config['model_path']}' {isl} {osl} {benchmark_config['benchmark_ratio']} {benchmark_config['multi_round']} {gen_num} '{benchmark_config['concurrency_list']}' {benchmark_config['streaming']} '{log_dir}' {disagg_server_hostname} {disagg_server_port}", + f"'{env_config['model_path']}' {isl} {osl} {benchmark_config['benchmark_ratio']} {benchmark_config['multi_round']} {gen_num} '{benchmark_config['concurrency_list']}' {benchmark_config['streaming']} '{log_dir}' {disagg_server_hostname} {disagg_server_port} {ucx_warmup_requests}", f"&> {log_dir}/6_bench.log" ] client_cmds.append(" ".join(client_slurm_prefix + benchmark_cmd)) else: benchmark_cmd = [ f"bash {env_config['work_dir']}/run_benchmark.sh", - f"'{env_config['model_path']}' '{benchmark_config['dataset_file']}' {benchmark_config['multi_round']} {gen_num} '{benchmark_config['concurrency_list']}' {benchmark_config['streaming']} '{log_dir}' {disagg_server_hostname} {disagg_server_port}", + f"'{env_config['model_path']}' '{benchmark_config['dataset_file']}' {benchmark_config['multi_round']} {gen_num} '{benchmark_config['concurrency_list']}' {benchmark_config['streaming']} '{log_dir}' {disagg_server_hostname} {disagg_server_port} {ucx_warmup_requests}", f"&> {log_dir}/6_bench.log" ] client_cmds.append(" ".join(client_slurm_prefix + benchmark_cmd)) From 1d875d8576f28271fa4acb8d0b1cffb53fa35c9a Mon Sep 17 00:00:00 2001 From: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> Date: Thu, 5 Feb 2026 10:08:32 -0800 Subject: [PATCH 116/241] [https://nvbugs/5863443][fix] Fix message truncation in Helix CP cache transmission (#11252) Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com> --- .../batch_manager/mlaCacheFormatter.cpp | 14 ++++- .../multi_gpu/cacheTransceiverTest.cpp | 62 ++++++++++++++++++- 2 files changed, 73 insertions(+), 3 deletions(-) diff --git a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp index b2a60a3eda02..0a3f1d378d53 100644 --- a/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp +++ b/cpp/tensorrt_llm/batch_manager/mlaCacheFormatter.cpp @@ -249,13 +249,25 @@ void MLACacheFormatter::format(tensorrt_llm::batch_manager::TransferSession& ses { TLLM_CHECK(preAllocSendBuffer->getDataType() == inputKvCacheBlocks.at(0)->getDataType()); } + // Connections are ordered CP-major (all connections for CP=0, then all for CP=1, etc.) + // from targetIRanks(). Within each CP domain, connections are ordered by (TP, PP). + // The bufferSizeForTarget is indexed as: cpDomainIdx * pPDomainSize + ppDomainIdx. + // So we need to compute cacheIdx based on the CP-major connection ordering. + auto connectionsPerCPDomain = connections.size() / cPDomainSize; + TLLM_CHECK_WITH_INFO(connectionsPerCPDomain > 0, "connectionsPerCPDomain must be > 0"); + auto sendBufferFun = [&](int deviceId, size_t processIdx) { NVTX3_SCOPED_RANGE(sendBufferFun); TLLM_CUDA_CHECK(cudaSetDevice(deviceId)); auto startTime = LlmRequest::getSteadyClockNow(); - auto cacheIdx = processIdx % (pPDomainSize * cPDomainSize); + // Compute cacheIdx based on CP-major connection ordering: + // - cpDomainIdx = which CP domain this connection belongs to. + // - ppDomainIdx = which PP domain within the CP domain (for PP > 1). + auto cpDomainIdx = processIdx / connectionsPerCPDomain; + auto ppDomainIdx = (processIdx % connectionsPerCPDomain) % pPDomainSize; + auto cacheIdx = cpDomainIdx * pPDomainSize + ppDomainIdx; if (cacheIdx < bufferCoverTargetNum) { size_t size = outputSplitCaches.at(cacheIdx)->getSizeInBytes(); diff --git a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp index 5e7528b8dd4e..0557bcfa6ef0 100644 --- a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp +++ b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp @@ -552,9 +552,10 @@ class AsymmetricalCacheTest : public ::testing::TestWithParam Date: Thu, 5 Feb 2026 16:54:48 -0500 Subject: [PATCH 117/241] [https://nvbugs/5688721][fix] AutoDeploy: unwaive fixed NemotronH accuracy test (#11290) Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 2816b65d3720..8e975dd3ea55 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -229,7 +229,6 @@ accuracy/test_llm_api_pytorch.py::TestNemotronNas::test_auto_dtype_tp8 SKIP (htt unittest/_torch/auto_deploy/unit/multigpu/test_ad_build_small_multi.py::test_build_ad[meta-llama/Meta-Llama-3.1-8B-Instruct-llm_extra_args0-2] SKIP (https://nvbugs/5680755) full:H100_PCIe/unittest/llmapi/test_llm_pytorch.py::test_llama_7b_multi_lora_evict_and_reload_lora_gpu_cache SKIP (https://nvbugs/5682551) accuracy/test_llm_api_pytorch.py::TestSeedOss_36B::test_auto_dtype SKIP (https://nvbugs/5612438) -accuracy/test_llm_api_autodeploy.py::TestNemotronH::test_auto_dtype[True] SKIP (https://nvbugs/5688721) test_e2e.py::test_openai_completions_example[trt] SKIP (https://nvbugs/5701450) accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[tp4-fp8kv=False-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5701457) triton_server/test_triton_llm.py::test_llmapi_backend[4-0-disableDecoupleMode-tensorrt_llm] SKIP (https://nvbugs/5701480) From b6f2582be76229c5bd43d1e6945d4d771b3ec76f Mon Sep 17 00:00:00 2001 From: Yiqing Yan Date: Fri, 6 Feb 2026 10:42:58 +0800 Subject: [PATCH 118/241] [TRTLLM-10118][fix] Fix vulnerabilities urllib3 nbconvert jaraco-context and wheel (#11226) Signed-off-by: Yiqing Yan --- constraints.txt | 9 +++++---- docker/Dockerfile.multi | 18 ++++++++++++++++-- docs/source/installation/linux.md | 4 ++-- jenkins/current_image_tags.properties | 8 ++++---- requirements.txt | 1 - tests/unittest/test_pip_install.py | 7 +++++-- 6 files changed, 32 insertions(+), 15 deletions(-) diff --git a/constraints.txt b/constraints.txt index 9cea8d00a98b..3586deaf81d3 100644 --- a/constraints.txt +++ b/constraints.txt @@ -1,5 +1,6 @@ -# These vulnerabilities were inherited from the base image (pytorch:25.10-py3) and should be removed when the base image +# These vulnerabilities were inherited from the base image (pytorch:25.12-py3) and should be removed when the base image # is updated. -# WAR against https://github.com/advisories/GHSA-gm62-xv2j-4w53 -# WAR against https://github.com/advisories/GHSA-2xpw-w6gg-jr37 -urllib3>=2.6.0 +# WAR against https://github.com/advisories/GHSA-38jv-5279-wg99 +urllib3>=2.6.3 +# WAR against https://github.com/advisories/GHSA-8rrh-rw8j-w5fx +wheel>=0.46.2 diff --git a/docker/Dockerfile.multi b/docker/Dockerfile.multi index a6bf164d1ad0..f5d7915b02e1 100644 --- a/docker/Dockerfile.multi +++ b/docker/Dockerfile.multi @@ -75,6 +75,9 @@ RUN GITHUB_MIRROR=${GITHUB_MIRROR} \ COPY constraints.txt /tmp/constraints.txt RUN pip3 install --no-cache-dir -r /tmp/constraints.txt && rm /tmp/constraints.txt +# Remove nbconvert to avoid https://github.com/advisories/GHSA-xm59-rqc7-hhvf in the base NGC PyTorch image. +RUN pip3 uninstall -y nbconvert || true + # Install UCX, NIXL, etcd # TODO: Combine these into the main install.sh script RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_ucx.sh && \ @@ -82,7 +85,13 @@ RUN GITHUB_MIRROR=${GITHUB_MIRROR} bash ./install_ucx.sh && \ bash ./install_etcd.sh && \ rm install_ucx.sh && \ rm install_nixl.sh && \ - rm install_etcd.sh + rm install_etcd.sh && \ + rm -rf /root/.cache/pip && \ + rm -rf /root/.cache/uv/archive-v0 && \ + # WAR against https://github.com/advisories/GHSA-58pv-8j8x-9vj2 + rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info && \ + # WAR against https://github.com/advisories/GHSA-8rrh-rw8j-w5fx + rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info # Generate OSS attribution file for devel image ARG TRT_LLM_VER @@ -175,7 +184,12 @@ RUN chmod -R a+w examples && \ benchmarks/cpp/gptManagerBenchmark.cpp \ benchmarks/cpp/disaggServerBenchmark.cpp \ benchmarks/cpp/CMakeLists.txt && \ - rm -rf /root/.cache/pip + rm -rf /root/.cache/pip && \ + rm -rf /root/.cache/uv/archive-v0 && \ + # WAR against https://github.com/advisories/GHSA-58pv-8j8x-9vj2 + rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/jaraco.context-5.3.0.dist-info && \ + # WAR against https://github.com/advisories/GHSA-8rrh-rw8j-w5fx + rm -rf /usr/local/lib/python3.12/dist-packages/setuptools/_vendor/wheel-0.45.1.dist-info ARG GIT_COMMIT ARG TRT_LLM_VER diff --git a/docs/source/installation/linux.md b/docs/source/installation/linux.md index c9c9cc508461..59fa15a9749c 100644 --- a/docs/source/installation/linux.md +++ b/docs/source/installation/linux.md @@ -37,7 +37,7 @@ Once all prerequisites are in place, TensorRT LLM can be installed as follows: ```bash - pip3 install --upgrade pip setuptools && pip3 install tensorrt_llm + pip3 install --ignore-installed pip setuptools wheel && pip3 install tensorrt_llm ``` > **Note:** The TensorRT LLM wheel on PyPI is built with PyTorch 2.9.1. This version may be incompatible with the NVIDIA NGC PyTorch 25.12 container, which uses a more recent PyTorch build from the main branch. If you are using this container or a similar environment, please install the pre-built wheel located at `/app/tensorrt_llm` inside the TensorRT LLM NGC Release container instead. @@ -75,5 +75,5 @@ There are some known limitations when you pip install pre-built TensorRT LLM whe ```bash CURRENT_TORCH_VERSION=$(python3 -c "import torch; print(torch.__version__)") echo "torch==$CURRENT_TORCH_VERSION" > /tmp/torch-constraint.txt - pip3 install --upgrade pip setuptools && pip3 install tensorrt_llm -c /tmp/torch-constraint.txt + pip3 install --ignore-installed pip setuptools wheel && pip3 install tensorrt_llm -c /tmp/torch-constraint.txt ``` diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 24e44e26fabe..2ea836eda0a4 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202601011103-9818 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202601011103-9818 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202601011103-9818 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202601011103-9818 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602051437-11226 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602051437-11226 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202602051437-11226 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202602051437-11226 diff --git a/requirements.txt b/requirements.txt index 6e76d04b76e7..0978f2a3ccb3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -35,7 +35,6 @@ pydantic>=2.9.1 pydantic-settings[yaml] omegaconf pillow -wheel<=0.45.1 optimum # evaluate needs datasets>=2.0.0 which triggers datasets>3.1.0 which is not stable: https://github.com/huggingface/datasets/issues/7467 datasets==3.1.0 diff --git a/tests/unittest/test_pip_install.py b/tests/unittest/test_pip_install.py index 346b5051ac38..5b2c9b97e67f 100644 --- a/tests/unittest/test_pip_install.py +++ b/tests/unittest/test_pip_install.py @@ -183,8 +183,11 @@ def test_pip_install(): subprocess.check_call("apt-get -y install libzmq3-dev", shell=True) subprocess.check_call("apt-get -y install python3-pip", shell=True) - subprocess.check_call("pip3 install --upgrade pip || true", shell=True) - subprocess.check_call("pip3 install --upgrade setuptools || true", + subprocess.check_call("pip3 install --ignore-installed pip || true", + shell=True) + subprocess.check_call("pip3 install --ignore-installed setuptools || true", + shell=True) + subprocess.check_call("pip3 install --ignore-installed wheel || true", shell=True) download_wheel(args) From 60d53fb9e67eebd38d53d99e1161e82cb047a301 Mon Sep 17 00:00:00 2001 From: Ziyi Xiong <219238287+ziyixiong-nv@users.noreply.github.com> Date: Fri, 6 Feb 2026 14:10:18 +0800 Subject: [PATCH 119/241] [None][chore] Resolve a conflict in the md file (#11255) Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com> --- ATTRIBUTIONS-Python.md | 4 ---- 1 file changed, 4 deletions(-) diff --git a/ATTRIBUTIONS-Python.md b/ATTRIBUTIONS-Python.md index bf35b6aba76b..7f45848e75ea 100644 --- a/ATTRIBUTIONS-Python.md +++ b/ATTRIBUTIONS-Python.md @@ -33478,7 +33478,6 @@ limitations under the License. - `Homepage`: https://github.com/NVIDIA/Model-Optimizer -<<<<<<< HEAD ## nvidia-modelopt-core (0.33.1) ### Licenses @@ -33506,10 +33505,7 @@ limitations under the License. - `Homepage`: https://github.com/NVIDIA/Model-Optimizer -## nvidia-nccl-cu12 (2.27.3) -======= ## nvidia-nccl-cu13 (2.27.7) ->>>>>>> fd7624b32 (modify ATTRIBUTIONS-Python.md) ### Licenses License: `BSD-3-Clause` From 2027b5576a425b7332a9d9be8cc979e1b21cc209 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 7 Feb 2026 04:25:02 +0000 Subject: [PATCH 120/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 10 +- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/auto_deploy/poetry.lock | 74 +++-- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 68 +++-- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 46 ++-- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 6 +- .../models/contrib/chatglm2-6b/poetry.lock | 6 +- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 46 ++-- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 68 ++--- .../models/contrib/hyperclovax/poetry.lock | 32 ++- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 58 ++-- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 78 +++--- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 120 +++------ .../examples/models/core/glm-4-9b/poetry.lock | 6 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../examples/models/core/llama/poetry.lock | 46 ++-- .../examples/models/core/mamba/poetry.lock | 46 ++-- .../examples/models/core/mixtral/poetry.lock | 32 ++- .../examples/models/core/mllama/poetry.lock | 32 ++- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 71 +++-- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 46 ++-- .../examples/models/core/qwenvl/poetry.lock | 60 ++--- .../models/core/recurrentgemma/poetry.lock | 108 ++++---- .../examples/models/core/whisper/poetry.lock | 62 ++--- .../models/core/whisper/pyproject.toml | 2 +- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 46 ++-- .../examples/ray_orchestrator/poetry.lock | 126 ++++----- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 68 ++--- .../examples/trtllm-eval/poetry.lock | 68 +++-- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 253 +++++++++--------- security_scanning/pyproject.toml | 6 +- security_scanning/triton_backend/poetry.lock | 18 +- 56 files changed, 822 insertions(+), 1036 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 5ce01f8179df..bc3043b645d4 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -733,24 +733,24 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "setuptools" -version = "80.10.2" +version = "81.0.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "setuptools-80.10.2-py3-none-any.whl", hash = "sha256:95b30ddfb717250edb492926c92b5221f7ef3fbcc2b07579bcd4a27da21d0173"}, - {file = "setuptools-80.10.2.tar.gz", hash = "sha256:8b0e9d10c784bf7d262c4e5ec5d4ec94127ce206e8738f29a437945fbc219b70"}, + {file = "setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6"}, + {file = "setuptools-81.0.0.tar.gz", hash = "sha256:487b53915f52501f0a79ccfd0c02c165ffe06631443a886740b91af4b7a5845a"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.13.0) ; sys_platform != \"cygwin\""] core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.18.*)", "pytest-mypy"] [[package]] name = "snowballstemmer" diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index ec6069fd23ee..1a1eb08acd39 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.16.0" +version = "2.17.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.16.0-py3-none-any.whl", hash = "sha256:5f46643a8f42899a84e80c38838135d7038e7718333ce61396994f887b09a59b"}, - {file = "openai-2.16.0.tar.gz", hash = "sha256:42eaa22ca0d8ded4367a77374104d7a2feafee5bd60a107c3c11b5243a11cd12"}, + {file = "openai-2.17.0-py3-none-any.whl", hash = "sha256:4f393fd886ca35e113aac7ff239bcd578b81d8f104f5aedc7d3693eb2af1d338"}, + {file = "openai-2.17.0.tar.gz", hash = "sha256:47224b74bd20f30c6b0a6a329505243cb2f26d5cf84d9f8d0825ff8b35e9c999"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 5320cb10a5ec..815d3286eda2 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1061,14 +1061,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] @@ -3534,24 +3534,24 @@ test = ["Cython", "array-api-strict (>=2.3.1)", "asv", "gmpy2", "hypothesis (>=6 [[package]] name = "setuptools" -version = "80.10.2" +version = "81.0.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "setuptools-80.10.2-py3-none-any.whl", hash = "sha256:95b30ddfb717250edb492926c92b5221f7ef3fbcc2b07579bcd4a27da21d0173"}, - {file = "setuptools-80.10.2.tar.gz", hash = "sha256:8b0e9d10c784bf7d262c4e5ec5d4ec94127ce206e8738f29a437945fbc219b70"}, + {file = "setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6"}, + {file = "setuptools-81.0.0.tar.gz", hash = "sha256:487b53915f52501f0a79ccfd0c02c165ffe06631443a886740b91af4b7a5845a"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", 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"jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.18.*)", "pytest-mypy"] [[package]] name = "shellingham" @@ -3678,14 +3678,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)"] [[package]] name = "tenacity" -version = "9.1.2" +version = "9.1.3" description = "Retry code until it succeeds" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, - {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, + {file = "tenacity-9.1.3-py3-none-any.whl", hash = "sha256:51171cfc6b8a7826551e2f029426b10a6af189c5ac6986adcd7eb36d42f17954"}, + {file = "tenacity-9.1.3.tar.gz", hash = "sha256:a6724c947aa717087e2531f883bde5c9188f603f6669a9b8d54eb998e604c12a"}, ] [package.extras] @@ -3843,6 +3843,10 @@ optional = false python-versions = ">=3.10" groups = ["main"] files = [ + {file = "torch-2.10.0-1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:c37fc46eedd9175f9c81814cc47308f1b42cfe4987e532d4b423d23852f2bf63"}, + {file = "torch-2.10.0-1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:f699f31a236a677b3118bc0a3ef3d89c0c29b5ec0b20f4c4bf0b110378487464"}, + {file = 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--git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 7c125a52f56c..5b82401c53da 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = 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-vision = ["Pillow (>=10.0.1,<=15.0)"] +vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "transformers-stream-generator" diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 3b2b3a86031c..14efdfa6d48e 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = 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a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 1d6e7bb3d7b9..bcc45aaa602a 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = 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models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 3bcd3246158e..afad3e09fee9 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] @@ -2031,18 +2031,17 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.0.0" +version = "5.1.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.0.0-py3-none-any.whl", hash = "sha256:587086f249ce64c817213cf36afdb318d087f790723e9b3d4500b97832afd52d"}, - {file = "transformers-5.0.0.tar.gz", hash = "sha256:5f5634efed6cf76ad068cc5834c7adbc32db78bbd6211fb70df2325a9c37dec8"}, + {file = "transformers-5.1.0-py3-none-any.whl", hash = "sha256:de534b50c9b2ce6217fc56421075a1734241fb40704fdc90f50f6a08fc533d59"}, + {file = "transformers-5.1.0.tar.gz", hash = "sha256:c60d6180e5845ea1b4eed38d7d1b06fcc4cc341c6b7fa5c1dc767d7e25fe0139"}, ] [package.dependencies] -filelock = "*" huggingface-hub = ">=1.3.0,<2.0" numpy = ">=1.17" packaging = ">=20.0" @@ -2055,45 +2054,34 @@ typer-slim = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] -all = ["Pillow (>=10.0.1,<=15.0)", "Pillow 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repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 699c1152dfc1..a4e658b22822 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -253,14 +253,14 @@ files = [ [[package]] name = "fsspec" -version = "2026.1.0" +version = "2026.2.0" description = "File-system specification" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, - {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, + {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, + {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, ] [package.extras] @@ -273,7 +273,7 @@ doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", 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-388,14 +388,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] @@ -1018,18 +1018,17 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.0.0" +version = "5.1.0" description = 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other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index 953b6033afac..71bf171c24de 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 3b2b3a86031c..14efdfa6d48e 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 3b2b3a86031c..14efdfa6d48e 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index d2bfa89b8eff..1e59cee7fb37 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -708,14 +708,14 @@ files = [ [[package]] name = "fsspec" -version = "2026.1.0" +version = "2026.2.0" description = "File-system specification" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, - {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, + {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, + {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, ] [package.extras] @@ -728,7 +728,7 @@ doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"] fuse = ["fusepy"] -gcs = ["gcsfs"] +gcs = ["gcsfs (>2024.2.0)"] git = ["pygit2"] github = ["requests"] gs = ["gcsfs"] @@ -737,13 +737,13 @@ hdfs = ["pyarrow (>=1)"] http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] libarchive = ["libarchive-c"] oci = ["ocifs"] -s3 = ["s3fs"] +s3 = ["s3fs (>2024.2.0)"] sftp = ["paramiko"] smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -875,14 +875,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = 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(!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -323,14 +323,14 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.36.1" +version = "0.36.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.1-py3-none-any.whl", hash = "sha256:c6fa8a8f7b8559bc624ebb7e218fb72171b30f6049ebe08f8bfc2a44b38ece50"}, - {file = "huggingface_hub-0.36.1.tar.gz", 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!= \"cygwin\"", "mypy (==1.18.*)", "pytest-mypy"] [[package]] name = "sympy" @@ -1246,6 +1246,10 @@ optional = false python-versions = ">=3.10" groups = ["main"] files = [ + {file = "torch-2.10.0-1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:c37fc46eedd9175f9c81814cc47308f1b42cfe4987e532d4b423d23852f2bf63"}, + {file = "torch-2.10.0-1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:f699f31a236a677b3118bc0a3ef3d89c0c29b5ec0b20f4c4bf0b110378487464"}, + {file = "torch-2.10.0-1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6abb224c2b6e9e27b592a1c0015c33a504b00a0e0938f1499f7f514e9b7bfb5c"}, + {file = "torch-2.10.0-1-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:7350f6652dfd761f11f9ecb590bfe95b573e2961f7a242eccb3c8e78348d26fe"}, {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d"}, {file = "torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = 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ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < 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"torch (>=2.4)"] video = ["av"] -vision = ["Pillow (>=10.0.1,<=15.0)"] +vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "triton" @@ -3757,4 +3749,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "fbe3ac570f4afe82e3606fb5a1bb9ddac3725c48c4456a068b670740e34ed5d5" +content-hash = "ba1d038cfa48dd8af968d53297e433aa96842d2a9a3181c7d4d498b1334c2360" diff --git a/security_scanning/examples/models/core/whisper/pyproject.toml b/security_scanning/examples/models/core/whisper/pyproject.toml index 25ccf21217ce..142598e978f4 100644 --- a/security_scanning/examples/models/core/whisper/pyproject.toml +++ b/security_scanning/examples/models/core/whisper/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "librosa (>=0.11.0,<0.12.0)", "soundfile (>=0.13.1,<0.14.0)", "safetensors (>=0.7.0,<0.8.0)", - "transformers (>=5.0.0,<6.0.0)", + "transformers (>=5.1.0,<6.0.0)", "janus (>=2.0.0,<3.0.0)" ] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index c66d42483b2b..3a9b3b0cbe05 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -797,14 +797,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.0" +version = "1.4.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.0-py3-none-any.whl", hash = "sha256:49d380ffddb31d9d4b6acc0792691f8fa077e1ed51980ed42c7abca62ec1b3b6"}, - {file = "huggingface_hub-1.4.0.tar.gz", hash = "sha256:dd8ca29409be10f544b624265f7ffe13a1a5c3f049f493b5dc9816ef3c6bd57b"}, + {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, + {file = "huggingface_hub-1.4.1.tar.gz", hash = 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= ["main"] markers = "platform_system == \"Darwin\" and platform_machine == \"arm64\"" files = [ - {file = "mlx_metal-0.30.5-py3-none-macosx_14_0_arm64.whl", hash = "sha256:f8287d0204170231aefda0b03acbb3b54336848be83e7916d7ef18d44e23593a"}, - {file = "mlx_metal-0.30.5-py3-none-macosx_15_0_arm64.whl", hash = "sha256:9ce0b169ec7043d46d63a7b04e048fdd51246a134c8ee7eccb9dfb8db9f3f468"}, - {file = "mlx_metal-0.30.5-py3-none-macosx_26_0_arm64.whl", hash = "sha256:04cfe0bf2b95a294c5072e7084a708ca3e1ba9454775af17b1be2877a4606a9f"}, + {file = "mlx_metal-0.30.6-py3-none-macosx_14_0_arm64.whl", hash = "sha256:ea6d0c973def9a5b4f652cc77036237db3f88c9d0af63701d76b5fddde99b820"}, + {file = "mlx_metal-0.30.6-py3-none-macosx_15_0_arm64.whl", hash = "sha256:0f8cb94634d07e06a372d6ad9a090f38a18bab1ff19a140aede60eacf707bb94"}, + {file = "mlx_metal-0.30.6-py3-none-macosx_26_0_arm64.whl", hash = "sha256:d761ae26304f2c4b454eeea7f612a56919d9e5e57dbb1dc0788f8e34aa6f41c2"}, ] [[package]] @@ -3560,6 +3560,18 @@ files = [ {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"}, ] +[[package]] +name = "nvidia-nccl-cu13" +version = "2.28.9" +description = "NVIDIA Collective Communication Library (NCCL) Runtime" +optional = false +python-versions = ">=3" +groups = ["main"] +files = [ + {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:01c873ba1626b54caa12272ed228dc5b2781545e0ae8ba3f432a8ef1c6d78643"}, + {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:e4553a30f34195f3fa1da02a6da3d6337d28f2003943aa0a3d247bbc25fefc42"}, +] + [[package]] name = "nvidia-nvjitlink-cu12" version = "12.8.93" @@ -3729,14 +3741,14 @@ onnx = ">=1.14.0" [[package]] name = "openai" -version = "2.16.0" +version = "2.17.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.16.0-py3-none-any.whl", hash = "sha256:5f46643a8f42899a84e80c38838135d7038e7718333ce61396994f887b09a59b"}, - {file = "openai-2.16.0.tar.gz", hash = "sha256:42eaa22ca0d8ded4367a77374104d7a2feafee5bd60a107c3c11b5243a11cd12"}, + {file = "openai-2.17.0-py3-none-any.whl", hash = "sha256:4f393fd886ca35e113aac7ff239bcd578b81d8f104f5aedc7d3693eb2af1d338"}, + {file = "openai-2.17.0.tar.gz", hash = "sha256:47224b74bd20f30c6b0a6a329505243cb2f26d5cf84d9f8d0825ff8b35e9c999"}, ] [package.dependencies] @@ -6479,21 +6491,6 @@ typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} [package.extras] standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] -[[package]] -name = "wheel" -version = "0.45.1" -description = "A built-package format for Python" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, - {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, -] - -[package.extras] -test = ["pytest (>=6.0.0)", "setuptools (>=65)"] - [[package]] name = "xgrammar" version = "0.1.25" @@ -6859,4 +6856,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "9b245493e5d567b8d4845064585ea06998ad73181d0f3f1f95e9fffa47fb07ae" +content-hash = "eb22ff95da4333d39841940bc087bed6bcfb1ca30e2ea6724599d7327ada3731" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 5d9639a64fc1..ba044b461886 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy (<2)", "onnx (>=1.18.0,<1.20.0)", "onnx-graphsurgeon (>=0.5.2)", - "openai (>=2.16.0,<3.0.0)", + "openai (>=2.17.0,<3.0.0)", "polygraphy (>=0.49.26,<0.50.0)", "psutil (>=7.2.2,<8.0.0)", "nvidia-ml-py (>=13)", @@ -29,6 +29,7 @@ dependencies = [ "tensorrt (>=10.14.1,<10.15.0)", "torch (>=2.9.1,<=2.10.0a0)", "nvidia-modelopt[torch] (>=0.37.0,<0.38.0)", + "nvidia-nccl-cu13 (>=2.27.7,<=2.28.9)", "nvidia-cuda-nvrtc (>=13.1.115,<14.0.0)", "transformers (==4.57.1)", "prometheus-client (>=0.24.1,<0.25.0)", @@ -37,7 +38,6 @@ dependencies = [ "pydantic-settings[yaml] (>=2.12.0,<3.0.0)", "omegaconf (>=2.3.0,<3.0.0)", "pillow (>=12.1.0,<13.0.0)", - "wheel (<=0.45.1)", "optimum (>=2.1.0,<3.0.0)", "datasets (==3.1.0)", "evaluate (>=0.4.6,<0.5.0)", @@ -67,7 +67,7 @@ dependencies = [ "soundfile (>=0.13.1,<0.14.0)", "triton (==3.5.1)", "tiktoken (>=0.12.0,<0.13.0)", - "blobfile (>=3.1.0,<4.0.0)", + "blobfile (>=3.2.0,<4.0.0)", "openai-harmony (==0.0.4)", "nvidia-cutlass-dsl (==4.3.4)", "plotly (>=6.5.2,<7.0.0)", diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 376ee2fcd94a..d6e3f2256c04 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -180,14 +180,14 @@ test = ["hypothesis (<6.136.0)", "levenshtein (<=0.27.1)", "pip", "pylint (<3.3. [[package]] name = "fsspec" -version = "2026.1.0" +version = "2026.2.0" description = "File-system specification" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fsspec-2026.1.0-py3-none-any.whl", hash = "sha256:cb76aa913c2285a3b49bdd5fc55b1d7c708d7208126b60f2eb8194fe1b4cbdcc"}, - {file = "fsspec-2026.1.0.tar.gz", hash = "sha256:e987cb0496a0d81bba3a9d1cee62922fb395e7d4c3b575e57f547953334fe07b"}, + {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, + {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, ] [package.extras] @@ -200,7 +200,7 @@ doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"] fuse = ["fusepy"] -gcs = ["gcsfs"] +gcs = ["gcsfs (>2024.2.0)"] git = ["pygit2"] github = ["requests"] gs = ["gcsfs"] @@ -209,13 +209,13 @@ hdfs = ["pyarrow (>=1)"] http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] libarchive = ["libarchive-c"] oci = ["ocifs"] -s3 = ["s3fs"] +s3 = ["s3fs (>2024.2.0)"] sftp = ["paramiko"] smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr"] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] @@ -256,14 +256,14 @@ tests = ["pytest"] [[package]] name = "huggingface-hub" -version = "0.36.1" +version = "0.36.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.8.0" groups = ["main"] files = [ - {file = "huggingface_hub-0.36.1-py3-none-any.whl", hash = "sha256:c6fa8a8f7b8559bc624ebb7e218fb72171b30f6049ebe08f8bfc2a44b38ece50"}, - {file = "huggingface_hub-0.36.1.tar.gz", hash = "sha256:5a3b8bf87e182ad6f1692c196bb9ec9ade7755311d5d5e792dc45045f77283ad"}, + {file = "huggingface_hub-0.36.2-py3-none-any.whl", hash = "sha256:48f0c8eac16145dfce371e9d2d7772854a4f591bcb56c9cf548accf531d54270"}, + {file = "huggingface_hub-0.36.2.tar.gz", hash = "sha256:1934304d2fb224f8afa3b87007d58501acfda9215b334eed53072dd5e815ff7a"}, ] [package.dependencies] From a22f63a1536b12f65bb22aaa88e677f74d3376bf Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 8 Feb 2026 04:24:16 +0000 Subject: [PATCH 121/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/auto_deploy/poetry.lock | 6 +++--- .../examples/llm-eval/lm-eval-harness/poetry.lock | 6 +++--- security_scanning/examples/models/core/qwen/poetry.lock | 6 +++--- security_scanning/examples/trtllm-eval/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- 5 files changed, 14 insertions(+), 14 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 815d3286eda2..66ffecbe07de 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -3678,14 +3678,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)"] [[package]] name = "tenacity" -version = "9.1.3" +version = "9.1.4" description = "Retry code until it succeeds" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tenacity-9.1.3-py3-none-any.whl", hash = "sha256:51171cfc6b8a7826551e2f029426b10a6af189c5ac6986adcd7eb36d42f17954"}, - {file = "tenacity-9.1.3.tar.gz", hash = "sha256:a6724c947aa717087e2531f883bde5c9188f603f6669a9b8d54eb998e604c12a"}, + {file = "tenacity-9.1.4-py3-none-any.whl", hash = "sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55"}, + {file = "tenacity-9.1.4.tar.gz", hash = "sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a"}, ] [package.extras] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 55779aeeee64..8d6f61173346 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -3406,14 +3406,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)"] [[package]] name = "tenacity" -version = "9.1.3" +version = "9.1.4" description = "Retry code until it succeeds" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tenacity-9.1.3-py3-none-any.whl", hash = "sha256:51171cfc6b8a7826551e2f029426b10a6af189c5ac6986adcd7eb36d42f17954"}, - {file = "tenacity-9.1.3.tar.gz", hash = "sha256:a6724c947aa717087e2531f883bde5c9188f603f6669a9b8d54eb998e604c12a"}, + {file = "tenacity-9.1.4-py3-none-any.whl", hash = "sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55"}, + {file = "tenacity-9.1.4.tar.gz", hash = "sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a"}, ] [package.extras] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 3ae042f5ff6a..bee5562dfa41 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -585,14 +585,14 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.128.3" +version = "0.128.4" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "fastapi-0.128.3-py3-none-any.whl", hash = "sha256:c8cdf7c2182c9a06bf9cfa3329819913c189dc86389b90d5709892053582db29"}, - {file = "fastapi-0.128.3.tar.gz", hash = "sha256:ed99383fd96063447597d5aa2a9ec3973be198e3b4fc10c55f15c62efdb21c60"}, + {file = "fastapi-0.128.4-py3-none-any.whl", hash = "sha256:9321282cee605fd2075ccbc95c0f2e549d675c59de4a952bba202cd1730ac66b"}, + {file = "fastapi-0.128.4.tar.gz", hash = "sha256:d6a2cc4c0edfbb2499f3fdec55ba62e751ee58a6354c50f85ed0dabdfbcfeb60"}, ] [package.dependencies] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index d1210aa942ec..eb8f7db95b31 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -3408,14 +3408,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)"] [[package]] name = "tenacity" -version = "9.1.3" +version = "9.1.4" description = "Retry code until it succeeds" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tenacity-9.1.3-py3-none-any.whl", hash = "sha256:51171cfc6b8a7826551e2f029426b10a6af189c5ac6986adcd7eb36d42f17954"}, - {file = "tenacity-9.1.3.tar.gz", hash = "sha256:a6724c947aa717087e2531f883bde5c9188f603f6669a9b8d54eb998e604c12a"}, + {file = "tenacity-9.1.4-py3-none-any.whl", hash = "sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55"}, + {file = "tenacity-9.1.4.tar.gz", hash = "sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a"}, ] [package.extras] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 2de78357d89f..d1d93228293a 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "60d53fb9e67eebd38d53d99e1161e82cb047a301", - "timestamp": "2026-02-07T04:00:45Z" + "commit_hash": "2027b5576a425b7332a9d9be8cc979e1b21cc209", + "timestamp": "2026-02-08T04:01:02Z" } From 82bfc5fd7745d481a62c55f8bfc539267380acd7 Mon Sep 17 00:00:00 2001 From: Yihan Wang Date: Tue, 10 Feb 2026 11:28:26 +0800 Subject: [PATCH 122/241] [https://nvbugs/5831976][chore] Move test_trtllm_flashinfer_symbol_collision.py to tests/unittest/_torch (#11375) Signed-off-by: Yihan Wang --- tests/integration/defs/agg_unit_mem_df.csv | 1 + tests/integration/test_lists/test-db/l0_h100.yml | 1 + tests/integration/test_lists/waives.txt | 1 - .../test_trtllm_flashinfer_symbol_collision.py | 0 4 files changed, 2 insertions(+), 1 deletion(-) rename tests/unittest/_torch/{attention => flashinfer}/test_trtllm_flashinfer_symbol_collision.py (100%) diff --git a/tests/integration/defs/agg_unit_mem_df.csv b/tests/integration/defs/agg_unit_mem_df.csv index d5e54357db5c..e14a32221190 100644 --- a/tests/integration/defs/agg_unit_mem_df.csv +++ b/tests/integration/defs/agg_unit_mem_df.csv @@ -114,3 +114,4 @@ unittest/_torch/thop/parallel,NVIDIA B200,16, unittest/_torch/attention,NVIDIA H100,4, unittest/_torch/misc,NVIDIA H100,4, unittest/_torch/thop/parallel,NVIDIA H100,16, +unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py,NVIDIA H100 PCIe,1, diff --git a/tests/integration/test_lists/test-db/l0_h100.yml b/tests/integration/test_lists/test-db/l0_h100.yml index ee36c87a0d1d..498cb0edf611 100644 --- a/tests/integration/test_lists/test-db/l0_h100.yml +++ b/tests/integration/test_lists/test-db/l0_h100.yml @@ -27,6 +27,7 @@ l0_h100: - unittest/_torch/speculative -k "not eagle3" - unittest/_torch/thop/parallel - unittest/_torch/thop/serial + - unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py # Only key models in H100: llama/mixtral/nemotron/deepseek - unittest/_torch/modeling -k "modeling_llama" - unittest/_torch/modeling -k "modeling_mixtral" diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 8e975dd3ea55..7309d527f37b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -305,7 +305,6 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[throughput_laten triton_server/test_triton.py::test_llava_onevision[llava_onevision] SKIP (https://nvbugs/5775205) triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5775223) unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl_multi_gpu[MoEWeightLoadingMode.FUSED_GATE_UP_PROJ-DefaultMoeRoutingMethod-1] SKIP (https://nvbugs/5775256) -unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5831976) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) cpp/test_e2e.py::test_model[-mamba-86] SKIP (https://nvbugs/5781665) diff --git a/tests/unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py b/tests/unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py similarity index 100% rename from tests/unittest/_torch/attention/test_trtllm_flashinfer_symbol_collision.py rename to tests/unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py From 78544d605425a7cff0333008693fedfd36f61a00 Mon Sep 17 00:00:00 2001 From: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> Date: Tue, 10 Feb 2026 11:28:30 +0800 Subject: [PATCH 123/241] [https://nvbugs/5624818][fix] Fix GPT-OSS with non-paged_context_fmha (#11309) Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com> --- cpp/kernels/fmha_v2/src/fused_multihead_attention.cpp | 2 ++ .../kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp | 3 ++- 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/cpp/kernels/fmha_v2/src/fused_multihead_attention.cpp b/cpp/kernels/fmha_v2/src/fused_multihead_attention.cpp index 0343066f7661..5a32f0a5116d 100644 --- a/cpp/kernels/fmha_v2/src/fused_multihead_attention.cpp +++ b/cpp/kernels/fmha_v2/src/fused_multihead_attention.cpp @@ -342,6 +342,8 @@ static inline void set_params(bert::Fused_multihead_attention_params_v2& params, // Attention sinks. params.attention_sinks = reinterpret_cast(attention_sinks_d); + assert((attention_sinks_d == nullptr || launch_params.flash_attention) + && "attention sinks are only supported with flash attention"); #if defined(STORE_P) params.p_ptr = p_d; diff --git a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp index ceb75638142b..fee6aa81fe37 100644 --- a/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp +++ b/cpp/tensorrt_llm/kernels/contextFusedMultiHeadAttention/fmhaRunner.cpp @@ -389,9 +389,10 @@ void FusedMHARunnerV2::setupLaunchParams(MHARunnerParams runnerParams) } // Hopper: fallback to original fmha_v2 when head_size <= 64 and seq_len <= 256 // Only supports packed_qkv input + padding/causal mask. + // Does not support attention sinks. else if (isSm90 && !separateQKvInput && paddingOrCausalMask && (mFixedParams.headSize == 32 || mFixedParams.headSize == 64) && runnerParams.qSeqLen <= 256 - && !common::getEnvForceDeterministicAttention()) + && !common::getEnvForceDeterministicAttention() && runnerParams.attentionSinksPtr == nullptr) { mLaunchParams.flash_attention = false; // get max sequence length for non-flash-attention. From daabeab86102b99d81ba3d9b243070a74d119921 Mon Sep 17 00:00:00 2001 From: Yechan Kim <161688079+yechank-nvidia@users.noreply.github.com> Date: Tue, 10 Feb 2026 12:28:49 +0900 Subject: [PATCH 124/241] [https://nvbugs/5814504][fix] Add skip_pre_hopper flag on NVILA & Nano V2 VLMs (#11275) Signed-off-by: yechank <161688079+yechank-nvidia@users.noreply.github.com> --- .../defs/accuracy/test_llm_api_pytorch_multimodal.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch_multimodal.py b/tests/integration/defs/accuracy/test_llm_api_pytorch_multimodal.py index 399fa66a4f7b..c5026501090d 100644 --- a/tests/integration/defs/accuracy/test_llm_api_pytorch_multimodal.py +++ b/tests/integration/defs/accuracy/test_llm_api_pytorch_multimodal.py @@ -103,6 +103,7 @@ def test_auto_dtype(self): task.evaluate(llm, sampling_params=self.sampling_params) +@skip_pre_hopper class TestNVILA_8B(LlmapiAccuracyTestHarness): MODEL_NAME = "Efficient-Large-Model/NVILA-8B" MODEL_PATH = f"{llm_models_root()}/vila/NVILA-8B" @@ -159,6 +160,7 @@ def test_auto_dtype(self): task.evaluate(llm, sampling_params=self.sampling_params) +@skip_pre_hopper class TestNemotron_Nano_12B_V2_VL(LlmapiAccuracyTestHarness): MODEL_NAME = "nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16" MODEL_PATH = f"{llm_models_root()}/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16" From 7167f2b4facd5124b939daa5c93699eb7b50b21b Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Tue, 10 Feb 2026 11:43:36 +0800 Subject: [PATCH 125/241] [None][infra] Disable release spark stage due to migration of spark cloud (#11402) Signed-off-by: qqiao --- jenkins/L0_Test.groovy | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index f3979dc4a989..44a8dbfbfc74 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -3316,7 +3316,8 @@ def launchTestJobs(pipeline, testFilter) SBSATestConfigs = [ "GH200-TensorRT-Post-Merge-1": ["gh200", "l0_gh200", 1, 1], // DGX Spark is also named as GB10 Grace Blackwell Superchip. - "GB10-PyTorch-1": ["gb10x", "l0_gb10", 1, 1], + // Disable GB10 stage temporarily due to migration of Spark cloud + // "GB10-PyTorch-1": ["gb10x", "l0_gb10", 1, 1], ] fullSet += SBSATestConfigs.keySet() From 5038e96c01abfe4d6df18187f20b073a96e32599 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Tue, 10 Feb 2026 14:48:04 +0800 Subject: [PATCH 126/241] [None][infra] Enable spark stage for release since the spark cloud migration is done (#11408) Signed-off-by: qqiao --- jenkins/L0_Test.groovy | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index 44a8dbfbfc74..f3979dc4a989 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -3316,8 +3316,7 @@ def launchTestJobs(pipeline, testFilter) SBSATestConfigs = [ "GH200-TensorRT-Post-Merge-1": ["gh200", "l0_gh200", 1, 1], // DGX Spark is also named as GB10 Grace Blackwell Superchip. - // Disable GB10 stage temporarily due to migration of Spark cloud - // "GB10-PyTorch-1": ["gb10x", "l0_gb10", 1, 1], + "GB10-PyTorch-1": ["gb10x", "l0_gb10", 1, 1], ] fullSet += SBSATestConfigs.keySet() From 57c1ecf129196064bc31f8fce6a49dc9604e1d7b Mon Sep 17 00:00:00 2001 From: Stefan Niebler <82932102+stnie@users.noreply.github.com> Date: Wed, 11 Feb 2026 03:50:52 +0100 Subject: [PATCH 127/241] [https://nvbugs/5820922][perf] Improve TorchSampler performance by reducing host overhead (#11315) Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com> --- tensorrt_llm/_torch/pyexecutor/sampler.py | 30 +++++++++++++++++------ 1 file changed, 22 insertions(+), 8 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/sampler.py b/tensorrt_llm/_torch/pyexecutor/sampler.py index 321d0fa97888..1418910a3fdb 100644 --- a/tensorrt_llm/_torch/pyexecutor/sampler.py +++ b/tensorrt_llm/_torch/pyexecutor/sampler.py @@ -357,9 +357,21 @@ def _request_get_sampling_params(request: LlmRequest) -> UtilsSamplingParams: ) +def _request_sampling_params_cachable(params: UtilsSamplingParams) -> bool: + return not params.use_beam_search + + def _request_strategy(request: LlmRequest, *, vocab_size: int) -> Strategy: + # We try to cache the resolved strategy on the request object, as it's not cheap enough to + # resolve it on every iteration. + if hasattr(request, "py_sampling_strategy"): + return request.py_sampling_strategy + params = _request_get_sampling_params(request) - return resolve_sampling_strategy(params, vocab_size=vocab_size) + sampling_strategy = resolve_sampling_strategy(params, vocab_size=vocab_size) + if _request_sampling_params_cachable(params): + request.py_sampling_strategy = resolve_sampling_strategy(params, vocab_size=vocab_size) + return sampling_strategy def _group_requests_by_strategy_key( @@ -1971,8 +1983,8 @@ def _apply_embedding_bias( # Since read-caching is expected to help in typical cases, option (ii) is implemented here. # Track which logits require logit bias application - logits_bias_mask = torch.zeros((logits.size(0),), dtype=torch.bool, pin_memory=True) - + request_steps_list = request_steps.tolist() + logits_bias_masks = [False] * logits.size(0) _next_bias_index = 0 def provision_bias_index() -> int: @@ -1992,11 +2004,11 @@ def provision_bias_index() -> int: # Collect bias information req_bias = None - for i, (req, steps) in enumerate(zip(requests, request_steps)): - steps = int(steps.item()) + for i, (req, steps) in enumerate(zip(requests, request_steps_list)): req_bias = req._py_embedding_bias_1d if req_bias is not None: - logits_bias_mask[i : (i + steps)] = True + for j in range(i, i + steps): + logits_bias_masks[j] = True req_bias_index = bias_to_index[req_bias] bias_gather_indices.extend(repeat(req_bias_index, steps)) @@ -2007,7 +2019,9 @@ def provision_bias_index() -> int: bias_gather_indices_cuda = torch.tensor( bias_gather_indices, pin_memory=True, dtype=torch.int32 ).to(logits.device, non_blocking=True) - logits_bias_mask_cuda = logits_bias_mask.to(logits.device, non_blocking=True) + logits_bias_mask_cuda = torch.tensor( + logits_bias_masks, pin_memory=True, dtype=torch.bool + ).to(logits.device, non_blocking=True) biases_tensor = torch.empty((len(bias_to_index), *req_bias.shape), pin_memory=True) biases_tensor = torch.stack( tuple(bias_to_index.keys()), @@ -2166,7 +2180,7 @@ def _sample_batched_by_strategy( group_strategies_per_step = [ # convert from per-request to per-step strat - for strat, steps in zip(group_strategies, req_num_steps[group_req_indices]) + for strat, steps in zip(group_strategies, req_num_steps[group_req_indices].tolist()) for _ in range(steps) ] From c679cb5cd5b1387c0ae3bb30378c316a111f37f1 Mon Sep 17 00:00:00 2001 From: Emma Qiao Date: Wed, 11 Feb 2026 17:44:51 +0800 Subject: [PATCH 128/241] [None][infra] Pin the version for torchao (#11446) Signed-off-by: qqiao --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 0978f2a3ccb3..587df89df754 100644 --- a/requirements.txt +++ b/requirements.txt @@ -75,5 +75,5 @@ partial_json_parser apache-tvm-ffi==0.1.6 # used for reduce nvidia-cutlass-dsl host overhead torch-c-dlpack-ext==0.1.3 # used for reduce nvidia-cutlass-dsl host overhead, optional package for improved torch tensor calling perf mistral-common==1.8.6 -torchao>=0.14.1 +torchao>=0.14.1,<0.16.0 etcd-sdk-python==0.0.7 From d3b26dc4f151fa6574686bddaebee928e7ced322 Mon Sep 17 00:00:00 2001 From: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> Date: Fri, 13 Feb 2026 19:58:30 +0800 Subject: [PATCH 129/241] [https://nvbugs/5889564][fix] fix kwargs name (#11496) Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com> --- tests/unittest/llmapi/apps/_test_disagg_serving_multi_nodes.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/unittest/llmapi/apps/_test_disagg_serving_multi_nodes.py b/tests/unittest/llmapi/apps/_test_disagg_serving_multi_nodes.py index ff9dd92e0caa..c14027434607 100644 --- a/tests/unittest/llmapi/apps/_test_disagg_serving_multi_nodes.py +++ b/tests/unittest/llmapi/apps/_test_disagg_serving_multi_nodes.py @@ -197,7 +197,7 @@ def test_completion(client: openai.OpenAI, # allow 5ms leniency when comparing the time points from disagg and ctx/gen servers validate_timing_metrics(perf_metrics, "multinode test_completion", - time_leniency_seconds=0.005) + time_tolerance_seconds=0.005) # sleep 10 seconds to ensure a successful wait_for_endpoint_ready on rank1 time.sleep(10) disagg_server.terminate() From 3cdddddcfca9c33cc2eb9813e3bc47583611a60c Mon Sep 17 00:00:00 2001 From: dongfengy <99041270+dongfengy@users.noreply.github.com> Date: Fri, 13 Feb 2026 12:22:25 -0800 Subject: [PATCH 130/241] [https://nvbugs/5833795][fix] Remove test waive and try CI (#11464) Signed-off-by: Dongfeng Yu Signed-off-by: dongfengy <99041270+dongfengy@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 7309d527f37b..62275385582c 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -148,7 +148,6 @@ full:L40S/accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dty full:L20/accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (https://nvbugs/5375620) test_e2e.py::test_ptp_quickstart_advanced_multi_gpus[Llama3.1-405B-FP8-llama-3.1-model/Llama-3.1-405B-Instruct-FP8-8] SKIP (https://nvbugs/5380570) test_e2e.py::test_ptp_quickstart_advanced_multi_gpus[Nemotron-Ultra-253B-nemotron-nas/Llama-3_1-Nemotron-Ultra-253B-v1-8] SKIP (https://nvbugs/5380570) -test_e2e.py::test_ptp_quickstart_advanced[GPT-OSS-120B-gpt_oss/gpt-oss-120b] SKIP (https://nvbugs/5833795) examples/test_multimodal.py::test_llm_multimodal_general[Phi-4-multimodal-instruct-pp:1-tp:1-float16-bs:1-cpp_e2e:False-nb:1] SKIP (https://nvbugs/5385992) examples/test_recurrentgemma.py::test_llm_recurrentgemma_1gpu[use_cpp_session-recurrentgemma-2b-use_paged_cache-int4_awq-float16-enable_attn_plugin-enable_gemm_plugin] SKIP (https://nvbugs/5401233) examples/test_recurrentgemma.py::test_llm_recurrentgemma_2gpu[recurrentgemma-2b] SKIP (https://nvbugs/5401233) From de294fcceada315db4d0df60f0202540347611e7 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 14 Feb 2026 04:28:28 +0000 Subject: [PATCH 131/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/auto_deploy/poetry.lock | 133 +++++-- .../examples/draft_target_model/poetry.lock | 116 +++++- security_scanning/examples/eagle/poetry.lock | 116 +++++- .../llm-eval/lm-eval-harness/poetry.lock | 134 ++++++- .../examples/lookahead/poetry.lock | 116 +++++- security_scanning/examples/medusa/poetry.lock | 116 +++++- .../models/contrib/baichuan/poetry.lock | 116 +++++- .../examples/models/contrib/bloom/poetry.lock | 116 +++++- .../models/contrib/chatglm-6b/poetry.lock | 116 +++++- .../models/contrib/chatglm2-6b/poetry.lock | 116 +++++- .../contrib/chatglm3-6b-32k/poetry.lock | 116 +++++- .../examples/models/contrib/dbrx/poetry.lock | 116 +++++- .../models/contrib/deepseek_v1/poetry.lock | 116 +++++- .../models/contrib/deepseek_v2/poetry.lock | 116 +++++- .../models/contrib/falcon/poetry.lock | 116 +++++- .../examples/models/contrib/gptj/poetry.lock | 116 +++++- .../models/contrib/gptneox/poetry.lock | 116 +++++- .../examples/models/contrib/grok/poetry.lock | 52 ++- .../models/contrib/hyperclovax/poetry.lock | 318 +++++++++------ .../models/contrib/internlm/poetry.lock | 116 +++++- .../examples/models/contrib/jais/poetry.lock | 116 +++++- .../examples/models/contrib/mmdit/poetry.lock | 300 +++++++++----- .../examples/models/contrib/mpt/poetry.lock | 116 +++++- .../examples/models/contrib/opt/poetry.lock | 116 +++++- .../models/contrib/skywork/poetry.lock | 116 +++++- .../examples/models/contrib/smaug/poetry.lock | 116 +++++- .../examples/models/contrib/stdit/poetry.lock | 236 +++++++---- .../examples/models/core/commandr/poetry.lock | 116 +++++- .../examples/models/core/gemma/poetry.lock | 46 ++- .../examples/models/core/glm-4-9b/poetry.lock | 116 +++++- .../examples/models/core/gpt/poetry.lock | 116 +++++- .../examples/models/core/llama/poetry.lock | 116 +++++- .../examples/models/core/mamba/poetry.lock | 116 +++++- .../examples/models/core/mixtral/poetry.lock | 24 +- .../examples/models/core/mllama/poetry.lock | 208 +++++----- .../examples/models/core/nemotron/poetry.lock | 116 +++++- .../examples/models/core/phi/poetry.lock | 116 +++++- .../examples/models/core/qwen/poetry.lock | 91 ++--- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 116 +++++- .../examples/models/core/qwenvl/poetry.lock | 318 +++++++++------ .../models/core/recurrentgemma/poetry.lock | 52 ++- .../examples/models/core/whisper/poetry.lock | 145 +++++-- security_scanning/examples/ngram/poetry.lock | 116 +++++- .../examples/quantization/poetry.lock | 116 +++++- .../examples/ray_orchestrator/poetry.lock | 119 +++--- .../examples/redrafter/poetry.lock | 116 +++++- security_scanning/examples/serve/poetry.lock | 368 +++++++++++------- .../examples/serve/pyproject.toml | 2 +- .../examples/trtllm-eval/poetry.lock | 134 ++++++- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 205 +++++----- security_scanning/pyproject.toml | 6 +- .../tests/integration/defs/perf/poetry.lock | 184 ++++----- security_scanning/triton_backend/poetry.lock | 14 +- 57 files changed, 5395 insertions(+), 1424 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index bc3043b645d4..0e5ab3bab382 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -733,14 +733,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "setuptools" -version = "81.0.0" +version = "82.0.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6"}, - {file = "setuptools-81.0.0.tar.gz", hash = "sha256:487b53915f52501f0a79ccfd0c02c165ffe06631443a886740b91af4b7a5845a"}, + {file = "setuptools-82.0.0-py3-none-any.whl", hash = "sha256:70b18734b607bd1da571d097d236cfcfacaf01de45717d59e6e04b96877532e0"}, + {file = "setuptools-82.0.0.tar.gz", hash = "sha256:22e0a2d69474c6ae4feb01951cb69d515ed23728cf96d05513d36e42b62b37cb"}, ] [package.extras] diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 1a1eb08acd39..ee214e3d0c19 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.17.0" +version = "2.21.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.17.0-py3-none-any.whl", hash = "sha256:4f393fd886ca35e113aac7ff239bcd578b81d8f104f5aedc7d3693eb2af1d338"}, - {file = "openai-2.17.0.tar.gz", hash = "sha256:47224b74bd20f30c6b0a6a329505243cb2f26d5cf84d9f8d0825ff8b35e9c999"}, + {file = "openai-2.21.0-py3-none-any.whl", hash = "sha256:0bc1c775e5b1536c294eded39ee08f8407656537ccc71b1004104fe1602e267c"}, + {file = "openai-2.21.0.tar.gz", hash = "sha256:81b48ce4b8bbb2cc3af02047ceb19561f7b1dc0d4e52d1de7f02abfd15aa59b7"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 66ffecbe07de..1fa1934ff339 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -47,14 +47,14 @@ testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", [[package]] name = "ai-edge-model-explorer" -version = "0.1.31" +version = "0.1.32" description = "A modern model graph visualizer and debugger" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "ai_edge_model_explorer-0.1.31-py3-none-any.whl", hash = "sha256:746ada4952a43927302158fb2cc11f160cc24e6181ab111b95c236a3066291b6"}, - {file = "ai_edge_model_explorer-0.1.31.tar.gz", hash = "sha256:8d2e91c16f331fe77eb8059f9fdb004d2e412e82e84706580ebdcddfcb4d145f"}, + {file = 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, - {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, + {file = "typer-0.23.1-py3-none-any.whl", hash = "sha256:3291ad0d3c701cbf522012faccfbb29352ff16ad262db2139e6b01f15781f14e"}, + {file = "typer-0.23.1.tar.gz", hash = "sha256:2070374e4d31c83e7b61362fd859aa683576432fd5b026b060ad6b4cd3b86134"}, ] [package.dependencies] +annotated-doc = ">=0.0.2" click = ">=8.0.0" -typing-extensions = ">=3.7.4.3" +rich = ">=10.11.0" +shellingham = ">=1.3.0" -[package.extras] -standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] +[[package]] +name = "typer-slim" +version = "0.23.1" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.23.1-py3-none-any.whl", hash = "sha256:8146d5df1eb89f628191c4c604c8464fa841885d0733c58e6e700ff0228adac5"}, + {file = "typer_slim-0.23.1.tar.gz", hash = "sha256:dfe92a6317030ee2380f65bf92e540d7c77fefcc689e10d585b4925b45b5e06a"}, +] + +[package.dependencies] +typer = ">=0.23.1" [[package]] name = "typing-extensions" diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 4a67d0189008..def785681538 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -183,6 +183,18 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "annotated-doc" +version = "0.0.4" +description = "Document parameters, class attributes, return types, and variables inline, with Annotated." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, + {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, +] + [[package]] name = "anyio" version = "4.12.1" @@ -518,14 +530,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.20.3" +version = "3.23.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, - {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, + {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, + {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, ] [[package]] @@ -869,6 +881,42 @@ files = [ {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, ] +[[package]] +name = "markdown-it-py" +version = "4.0.0" +description = "Python port of markdown-it. 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Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.23.1-py3-none-any.whl", hash = "sha256:8146d5df1eb89f628191c4c604c8464fa841885d0733c58e6e700ff0228adac5"}, + {file = "typer_slim-0.23.1.tar.gz", hash = "sha256:dfe92a6317030ee2380f65bf92e540d7c77fefcc689e10d585b4925b45b5e06a"}, +] + +[package.dependencies] +typer = ">=0.23.1" [[package]] name = "typing-extensions" diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 9dc19a41bb5d..21c75b121609 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -195,6 +195,18 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "annotated-doc" +version = "0.0.4" +description = "Document parameters, class attributes, return types, and variables inline, with Annotated." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, + {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, +] + [[package]] name = "anyio" version = "4.12.1" @@ -521,14 +533,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.20.3" +version = "3.23.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, - {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, + {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, + {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, ] [[package]] @@ -2954,23 +2966,37 @@ slack = ["slack-sdk"] telegram = ["requests"] [[package]] -name = "typer-slim" -version = "0.21.1" +name = "typer" +version = "0.23.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "typer_slim-0.21.1-py3-none-any.whl", hash = "sha256:6e6c31047f171ac93cc5a973c9e617dbc5ab2bddc4d0a3135dc161b4e2020e0d"}, - {file = "typer_slim-0.21.1.tar.gz", hash = "sha256:73495dd08c2d0940d611c5a8c04e91c2a0a98600cbd4ee19192255a233b6dbfd"}, + {file = "typer-0.23.1-py3-none-any.whl", hash = "sha256:3291ad0d3c701cbf522012faccfbb29352ff16ad262db2139e6b01f15781f14e"}, + {file = "typer-0.23.1.tar.gz", hash = "sha256:2070374e4d31c83e7b61362fd859aa683576432fd5b026b060ad6b4cd3b86134"}, ] [package.dependencies] +annotated-doc = ">=0.0.2" click = ">=8.0.0" -typing-extensions = ">=3.7.4.3" +rich = ">=10.11.0" +shellingham = ">=1.3.0" -[package.extras] -standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"] +[[package]] +name = "typer-slim" +version = "0.23.1" +description = "Typer, build great CLIs. Easy to code. Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.23.1-py3-none-any.whl", hash = "sha256:8146d5df1eb89f628191c4c604c8464fa841885d0733c58e6e700ff0228adac5"}, + {file = "typer_slim-0.23.1.tar.gz", hash = "sha256:dfe92a6317030ee2380f65bf92e540d7c77fefcc689e10d585b4925b45b5e06a"}, +] + +[package.dependencies] +typer = ">=0.23.1" [[package]] name = "typing-extensions" diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 36ff154cd14c..dde65019c4a0 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -183,6 +183,18 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "annotated-doc" +version = "0.0.4" +description = "Document parameters, class attributes, return types, and variables inline, with Annotated." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, + {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, +] + [[package]] name = "anyio" version = "4.12.1" @@ -507,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.20.3" +version = "3.23.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, - {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, + {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, + {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, ] [[package]] @@ -858,6 +870,42 @@ files = [ {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, ] +[[package]] +name = "markdown-it-py" +version = "4.0.0" +description = "Python port of markdown-it. 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Based on Python type hints." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "typer_slim-0.23.1-py3-none-any.whl", hash = "sha256:8146d5df1eb89f628191c4c604c8464fa841885d0733c58e6e700ff0228adac5"}, + {file = "typer_slim-0.23.1.tar.gz", hash = "sha256:dfe92a6317030ee2380f65bf92e540d7c77fefcc689e10d585b4925b45b5e06a"}, +] + +[package.dependencies] +typer = ">=0.23.1" [[package]] name = "typing-extensions" diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 14efdfa6d48e..1d5c00d4509f 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -183,6 +183,18 @@ files = [ frozenlist = ">=1.1.0" typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""} +[[package]] +name = "annotated-doc" +version = "0.0.4" +description = "Document parameters, class attributes, return types, and variables inline, with Annotated." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, + {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, +] + [[package]] name = "anyio" version = "4.12.1" @@ -507,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.20.3" +version = "3.23.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = "sha256:4b0dda527ee31078689fc205ec4f1c1bf7d56cf88b6dc9426c4f230e46c2dce1"}, - {file = "filelock-3.20.3.tar.gz", hash = "sha256:18c57ee915c7ec61cff0ecf7f0f869936c7c30191bb0cf406f1341778d0834e1"}, + {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, + {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, ] [[package]] @@ -858,6 +870,42 @@ files = [ {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"}, ] +[[package]] +name = "markdown-it-py" +version = "4.0.0" +description = "Python port of markdown-it. 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a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1027,13 +1027,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.3.3" +version = "1.3.4" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.3.3-py3-none-any.whl", hash = "sha256:9984b664e404f7c134954a771be8775dfd6180ea1e1aef4a5a37d4be05d9bbb1"}, + {file = "cuda_pathfinder-1.3.4-py3-none-any.whl", hash = "sha256:fb983f6e0d43af27ef486e14d5989b5f904ef45cedf40538bfdcbffa6bb01fb2"}, ] [[package]] @@ -1332,14 +1332,14 @@ standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[stand [[package]] name = "filelock" -version = "3.20.3" +version = "3.23.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.20.3-py3-none-any.whl", hash = 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.../examples/models/contrib/gptneox/poetry.lock | 6 +++--- .../examples/models/contrib/grok/poetry.lock | 6 +++--- .../examples/models/contrib/hyperclovax/poetry.lock | 6 +++--- .../examples/models/contrib/internlm/poetry.lock | 6 +++--- .../examples/models/contrib/jais/poetry.lock | 6 +++--- .../examples/models/contrib/mmdit/poetry.lock | 6 +++--- .../examples/models/contrib/mpt/poetry.lock | 6 +++--- .../examples/models/contrib/opt/poetry.lock | 6 +++--- .../examples/models/contrib/skywork/poetry.lock | 6 +++--- .../examples/models/contrib/smaug/poetry.lock | 6 +++--- .../examples/models/contrib/stdit/poetry.lock | 6 +++--- .../examples/models/core/commandr/poetry.lock | 6 +++--- .../examples/models/core/gemma/poetry.lock | 6 +++--- .../examples/models/core/glm-4-9b/poetry.lock | 6 +++--- .../examples/models/core/gpt/poetry.lock | 6 +++--- .../examples/models/core/llama/poetry.lock | 6 +++--- .../examples/models/core/mamba/poetry.lock | 6 +++--- .../examples/models/core/mixtral/poetry.lock | 6 +++--- .../examples/models/core/mllama/poetry.lock | 6 +++--- .../examples/models/core/nemotron/poetry.lock | 6 +++--- .../examples/models/core/phi/poetry.lock | 6 +++--- .../examples/models/core/qwen/poetry.lock | 6 +++--- .../examples/models/core/qwen2audio/poetry.lock | 6 +++--- .../examples/models/core/qwenvl/poetry.lock | 6 +++--- .../examples/models/core/recurrentgemma/poetry.lock | 6 +++--- .../examples/models/core/whisper/poetry.lock | 12 ++++++------ security_scanning/examples/ngram/poetry.lock | 6 +++--- security_scanning/examples/quantization/poetry.lock | 6 +++--- .../examples/ray_orchestrator/poetry.lock | 12 ++++++------ security_scanning/examples/redrafter/poetry.lock | 6 +++--- security_scanning/examples/serve/poetry.lock | 12 ++++++------ security_scanning/examples/trtllm-eval/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 6 +++--- security_scanning/triton_backend/poetry.lock | 6 +++--- 51 files changed, 161 insertions(+), 161 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 1fa1934ff339..8fe37230cdf0 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -759,14 +759,14 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = 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= "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index dd792e4b021a..333b0c8ae526 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = 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b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index aa2b4c3d4cdd..b607106ec681 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index d52c02a92b00..fc33b29aab50 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index dcc07c9481c0..bbac1b2a6c57 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = 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groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index f6480f0b5884..1f564105a1c2 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform 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b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index d52c02a92b00..fc33b29aab50 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 1d5c00d4509f..66da6edd8525 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 1d5c00d4509f..66da6edd8525 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = 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b/security_scanning/examples/models/core/phi/poetry.lock @@ -531,14 +531,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index b0cdbbc754f2..7857e61a78bb 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -624,14 +624,14 @@ psutil = ["psutil (>=5.8.0)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 2d8c58c0cdd8..fbdf48155d48 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -531,14 +531,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 60f6cca729af..c0c51d502c9e 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -772,14 +772,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = 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"sha256:f310f16e89c4e29117805d8328f7c10876eeff36c94eac879532812110f7d39f"}, ] [[package]] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index f6480f0b5884..1f564105a1c2 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 5a5080eac0c3..f10010aefffc 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -935,14 +935,14 @@ dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4 [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] @@ -2456,14 +2456,14 @@ xmp = ["defusedxml"] [[package]] name = "platformdirs" -version = "4.8.0" +version = "4.9.1" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "platformdirs-4.8.0-py3-none-any.whl", hash = "sha256:1c1328b4d2ea997bbcb904175a9bde14e824a3fa79f751ea3888d63d7d727557"}, - {file = "platformdirs-4.8.0.tar.gz", hash = "sha256:c1d4a51ab04087041dd602707fbe7ee8b62b64e590f30e336e5c99c2d0c542d2"}, + {file = "platformdirs-4.9.1-py3-none-any.whl", hash = "sha256:61d8b967d34791c162d30d60737369cbbd77debad5b981c4bfda1842e71e0d66"}, + {file = "platformdirs-4.9.1.tar.gz", hash = "sha256:f310f16e89c4e29117805d8328f7c10876eeff36c94eac879532812110f7d39f"}, ] [[package]] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index d7ecbef98a7d..4401c1ce0ae4 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index b5d26bc58faa..0b675b20d4ba 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "3cdddddcfca9c33cc2eb9813e3bc47583611a60c", - "timestamp": "2026-02-14T04:00:56Z" + "commit_hash": "de294fcceada315db4d0df60f0202540347611e7", + "timestamp": "2026-02-15T03:15:08Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 78f18946c094..0123a11ab80f 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1332,14 +1332,14 @@ standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[stand [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 027551f45ba0..5052c36c132f 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -150,14 +150,14 @@ files = [ [[package]] name = "filelock" -version = "3.23.0" +version = "3.24.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.23.0-py3-none-any.whl", hash = "sha256:4203c3f43983c7c95e4bbb68786f184f6acb7300899bf99d686bb82d526bdf62"}, - {file = "filelock-3.23.0.tar.gz", hash = "sha256:f64442f6f4707b9385049bb490be0bc48e3ab8e74ad27d4063435252917f4d4b"}, + {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, + {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, ] [[package]] From d1e5956bf75bc3adfdfcd66c778b1f6281e553ad Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 15 Feb 2026 04:26:30 +0000 Subject: [PATCH 133/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 0b675b20d4ba..7b407e091940 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "de294fcceada315db4d0df60f0202540347611e7", - "timestamp": "2026-02-15T03:15:08Z" + "commit_hash": "3cc9e478091350e3089bd739556f457fb62c0976", + "timestamp": "2026-02-15T04:01:18Z" } From 0149e89e9f696505312a4c86836531aa0309305d Mon Sep 17 00:00:00 2001 From: Zhenhuan Chen Date: Sun, 15 Feb 2026 23:35:15 +0800 Subject: [PATCH 134/241] [https://nvbugs/5860137][fix] Adjust deepgemm tuning buckets to cover larger num_tokens's scope (#11494) --- .../_torch/custom_ops/torch_custom_ops.py | 21 +++++++------------ 1 file changed, 8 insertions(+), 13 deletions(-) diff --git a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py index 17667b2f38a0..a4290ecb580e 100644 --- a/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py +++ b/tensorrt_llm/_torch/custom_ops/torch_custom_ops.py @@ -1450,17 +1450,17 @@ def _( def deep_gemm_gen_tuning_buckets(x: int): buckets = tuple(range(8, 128, 8)) + # Clamp x to be between 4096 and 8192. if x >= 128: + x = min(x, 8192) + x = max(x, 4096) buckets += tuple(range(128, x, 128)) return buckets class fp8SwapABGemmRunner(TunableRunner): - tuning_config = TuningConfig( - dynamic_tensor_specs=(DynamicTensorSpec( - 0, 0, deep_gemm_gen_tuning_buckets), ), - tune_max_num_tokens=4096, - ) + tuning_config = TuningConfig(dynamic_tensor_specs=(DynamicTensorSpec( + 0, 0, deep_gemm_gen_tuning_buckets), ), ) def __init__(self, output_dtype: torch.dtype, disable_ue8m0_cast: bool): self.output_dtype = output_dtype @@ -1477,9 +1477,7 @@ def get_valid_tactics( inputs: List[torch.Tensor], profile: OptimizationProfile, ) -> List[int]: - # Encode swap_ab as False (0) and True (1). Currently enabled when GEMM m <= 128. - input, _, _ = inputs - return [0, 1] if input.shape[0] <= 128 else [0] + return [0] def forward( self, @@ -1494,8 +1492,7 @@ def forward( dtype=self.output_dtype, ) - forward_func = deep_gemm.fp8_gemm_ntt if tactic == 1 else deep_gemm.fp8_gemm_nt - forward_func( + deep_gemm.fp8_gemm_nt( (a, a_sf), (weight, weight_scale), output, @@ -1511,14 +1508,13 @@ def fp8_swap_ab_gemm( weight_scale: torch.Tensor, output_dtype: torch.dtype = torch.bfloat16, disable_ue8m0_cast: bool = False, - tune_max_num_tokens: int = 4096, ) -> torch.Tensor: tuner = AutoTuner.get() fp8_swap_ab_gemm_runner = fp8SwapABGemmRunner( output_dtype, disable_ue8m0_cast, ) - fp8SwapABGemmRunner.tuning_config.tune_max_num_tokens = tune_max_num_tokens + _, best_tactic = tuner.choose_one( "trtllm::fp8_swap_ab_gemm", [fp8_swap_ab_gemm_runner], @@ -1538,7 +1534,6 @@ def _( weight_scale: torch.Tensor, output_dtype: torch.dtype = torch.bfloat16, disable_ue8m0_cast: bool = False, - tune_max_num_tokens: int = 4096, ) -> torch.Tensor: return input.new_empty((input.size(0), weight.size(0)), dtype=output_dtype) From 1c207c19da2fb0c7af2eaaf9bcd43f2ef2b7ba8c Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 16 Feb 2026 03:45:01 +0000 Subject: [PATCH 135/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +++--- security_scanning/examples/auto_deploy/poetry.lock | 6 +++--- .../examples/draft_target_model/poetry.lock | 6 +++--- security_scanning/examples/eagle/poetry.lock | 6 +++--- .../examples/llm-eval/lm-eval-harness/poetry.lock | 6 +++--- security_scanning/examples/lookahead/poetry.lock | 6 +++--- security_scanning/examples/medusa/poetry.lock | 6 +++--- .../examples/models/contrib/baichuan/poetry.lock | 6 +++--- .../examples/models/contrib/bloom/poetry.lock | 6 +++--- .../examples/models/contrib/chatglm-6b/poetry.lock | 6 +++--- .../models/contrib/chatglm2-6b/poetry.lock | 6 +++--- .../models/contrib/chatglm3-6b-32k/poetry.lock | 6 +++--- .../examples/models/contrib/dbrx/poetry.lock | 6 +++--- .../models/contrib/deepseek_v1/poetry.lock | 6 +++--- .../models/contrib/deepseek_v2/poetry.lock | 6 +++--- .../examples/models/contrib/falcon/poetry.lock | 6 +++--- .../examples/models/contrib/gptj/poetry.lock | 6 +++--- .../examples/models/contrib/gptneox/poetry.lock | 6 +++--- .../examples/models/contrib/grok/poetry.lock | 6 +++--- .../models/contrib/hyperclovax/poetry.lock | 6 +++--- .../examples/models/contrib/internlm/poetry.lock | 6 +++--- .../examples/models/contrib/jais/poetry.lock | 6 +++--- .../examples/models/contrib/mmdit/poetry.lock | 6 +++--- .../examples/models/contrib/mpt/poetry.lock | 6 +++--- .../examples/models/contrib/opt/poetry.lock | 6 +++--- .../examples/models/contrib/skywork/poetry.lock | 6 +++--- .../examples/models/contrib/smaug/poetry.lock | 6 +++--- .../examples/models/contrib/stdit/poetry.lock | 6 +++--- .../examples/models/core/commandr/poetry.lock | 6 +++--- .../examples/models/core/gemma/poetry.lock | 6 +++--- .../examples/models/core/glm-4-9b/poetry.lock | 6 +++--- .../examples/models/core/gpt/poetry.lock | 6 +++--- .../examples/models/core/llama/poetry.lock | 6 +++--- .../examples/models/core/mamba/poetry.lock | 6 +++--- .../examples/models/core/mixtral/poetry.lock | 6 +++--- .../examples/models/core/mllama/poetry.lock | 6 +++--- .../examples/models/core/nemotron/poetry.lock | 6 +++--- .../examples/models/core/phi/poetry.lock | 6 +++--- .../examples/models/core/qwen/poetry.lock | 6 +++--- .../examples/models/core/qwen2audio/poetry.lock | 6 +++--- .../examples/models/core/qwenvl/poetry.lock | 6 +++--- .../models/core/recurrentgemma/poetry.lock | 6 +++--- .../examples/models/core/whisper/poetry.lock | 6 +++--- security_scanning/examples/ngram/poetry.lock | 6 +++--- .../examples/quantization/poetry.lock | 6 +++--- .../examples/ray_orchestrator/poetry.lock | 6 +++--- security_scanning/examples/redrafter/poetry.lock | 6 +++--- security_scanning/examples/serve/poetry.lock | 12 ++++++------ security_scanning/examples/trtllm-eval/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 14 +++++++------- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 6 +++--- 53 files changed, 163 insertions(+), 163 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 0e5ab3bab382..7215163b083c 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -629,14 +629,14 @@ typing-extensions = ">=4.14.1" [[package]] name = "pydantic-settings" -version = "2.12.0" +version = "2.13.0" description = "Settings management using Pydantic" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pydantic_settings-2.12.0-py3-none-any.whl", hash = "sha256:fddb9fd99a5b18da837b29710391e945b1e30c135477f484084ee513adb93809"}, - {file = "pydantic_settings-2.12.0.tar.gz", hash = "sha256:005538ef951e3c2a68e1c08b292b5f2e71490def8589d4221b95dab00dafcfd0"}, + {file = "pydantic_settings-2.13.0-py3-none-any.whl", hash = "sha256:d67b576fff39cd086b595441bf9c75d4193ca9c0ed643b90360694d0f1240246"}, + {file = "pydantic_settings-2.13.0.tar.gz", hash = "sha256:95d875514610e8595672800a5c40b073e99e4aae467fa7c8f9c263061ea2e1fe"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 8fe37230cdf0..72faaedc2c68 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -759,14 +759,14 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 1f564105a1c2..e3eb63113b52 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 526453d92309..9f2c4609f861 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 333b0c8ae526..1d3ed6f434aa 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 1f564105a1c2..e3eb63113b52 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 1f564105a1c2..e3eb63113b52 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 2abcc041c7d1..59e3f0f05b6c 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -530,14 +530,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 66da6edd8525..d559d05419c8 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index 62c8df0cd5e2..c9c8d6d36845 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = 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groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index bbac1b2a6c57..49c968cc7863 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = 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b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 06b9fa3f8e8f..37fd1719c528 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -600,14 +600,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index 2dbd1f29b8dd..49032c99430c 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -225,14 +225,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 1f564105a1c2..e3eb63113b52 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 66da6edd8525..d559d05419c8 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = 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false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 66da6edd8525..d559d05419c8 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index f7145ca52095..4a411a27819b 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -708,14 +708,14 @@ pytest = ["pytest (>=7)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index fc33b29aab50..a78761bc6e9a 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 33a048de9c43..e63b017740fd 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -533,14 +533,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 62c8df0cd5e2..c9c8d6d36845 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 66da6edd8525..d559d05419c8 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 9a631e63128d..028c14e32a72 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 64698ffc433c..a8367f2fd0ac 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = 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files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index c0c51d502c9e..ee6b658188df 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -772,14 +772,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 63dae3ca126b..e6ee848bf1cb 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -590,14 +590,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index 034ce52eb33a..acf11ddb69d3 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -651,14 +651,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index a6d98b3f82d3..ede4f91ce353 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 432a6b2337ea..f17ac828774f 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -483,14 +483,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index b8613c52db6d..0bfe38c611ae 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -586,14 +586,14 @@ files = [ [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 1f564105a1c2..e3eb63113b52 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index f10010aefffc..c71373e21518 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -935,14 +935,14 @@ dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4 [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] @@ -2908,14 +2908,14 @@ typing-extensions = ">=4.14.1" [[package]] name = "pydantic-settings" -version = "2.12.0" +version = "2.13.0" description = "Settings management using Pydantic" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pydantic_settings-2.12.0-py3-none-any.whl", hash = "sha256:fddb9fd99a5b18da837b29710391e945b1e30c135477f484084ee513adb93809"}, - {file = "pydantic_settings-2.12.0.tar.gz", hash = "sha256:005538ef951e3c2a68e1c08b292b5f2e71490def8589d4221b95dab00dafcfd0"}, + {file = "pydantic_settings-2.13.0-py3-none-any.whl", hash = "sha256:d67b576fff39cd086b595441bf9c75d4193ca9c0ed643b90360694d0f1240246"}, + {file = "pydantic_settings-2.13.0.tar.gz", hash = "sha256:95d875514610e8595672800a5c40b073e99e4aae467fa7c8f9c263061ea2e1fe"}, ] [package.dependencies] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index 4401c1ce0ae4..06b749ec92f0 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 7b407e091940..11572b1727c6 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "3cc9e478091350e3089bd739556f457fb62c0976", - "timestamp": "2026-02-15T04:01:18Z" + "commit_hash": "0149e89e9f696505312a4c86836531aa0309305d", + "timestamp": "2026-02-16T03:20:12Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 0123a11ab80f..0a3cf2fff4fc 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1332,14 +1332,14 @@ standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[stand [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] @@ -4827,14 +4827,14 @@ semver = ["semver (>=3.0.2)"] [[package]] name = "pydantic-settings" -version = "2.12.0" +version = "2.13.0" description = "Settings management using Pydantic" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pydantic_settings-2.12.0-py3-none-any.whl", hash = "sha256:fddb9fd99a5b18da837b29710391e945b1e30c135477f484084ee513adb93809"}, - {file = "pydantic_settings-2.12.0.tar.gz", hash = "sha256:005538ef951e3c2a68e1c08b292b5f2e71490def8589d4221b95dab00dafcfd0"}, + {file = "pydantic_settings-2.13.0-py3-none-any.whl", hash = "sha256:d67b576fff39cd086b595441bf9c75d4193ca9c0ed643b90360694d0f1240246"}, + {file = "pydantic_settings-2.13.0.tar.gz", hash = "sha256:95d875514610e8595672800a5c40b073e99e4aae467fa7c8f9c263061ea2e1fe"}, ] [package.dependencies] @@ -6859,4 +6859,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "53184e217a89fe4f52a1cde1442f1553ebcfdc148bafbbeba484360b7ef1690d" +content-hash = "9ae5d72e8da4ba984172bbf58d3de635ca63478e6d6453313de42a7b24bef41d" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 91d01afe46f6..04251cb2115b 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -35,7 +35,7 @@ dependencies = [ "prometheus-client (>=0.24.1,<0.25.0)", "prometheus-fastapi-instrumentator (>=7.1.0,<8.0.0)", "pydantic (>=2.9.1)", - "pydantic-settings[yaml] (>=2.12.0,<3.0.0)", + "pydantic-settings[yaml] (>=2.13.0,<3.0.0)", "omegaconf (>=2.3.0,<3.0.0)", "pillow (>=12.1.1,<13.0.0)", "optimum (>=2.1.0,<3.0.0)", diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 5052c36c132f..de473099e536 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -150,14 +150,14 @@ files = [ [[package]] name = "filelock" -version = "3.24.0" +version = "3.24.2" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.0-py3-none-any.whl", hash = "sha256:eebebb403d78363ef7be8e236b63cc6760b0004c7464dceaba3fd0afbd637ced"}, - {file = "filelock-3.24.0.tar.gz", hash = "sha256:aeeab479339ddf463a1cdd1f15a6e6894db976071e5883efc94d22ed5139044b"}, + {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, + {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, ] [[package]] From 4bcc4418f5eb72aea03aaf945bf6691f34bdd61e Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 16 Feb 2026 04:26:58 +0000 Subject: [PATCH 136/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/models/core/whisper/poetry.lock | 6 +++--- security_scanning/examples/ray_orchestrator/poetry.lock | 6 +++--- security_scanning/examples/serve/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- 4 files changed, 11 insertions(+), 11 deletions(-) diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index acf11ddb69d3..cf8d85246603 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -2172,14 +2172,14 @@ xml = ["lxml (>=5.3.0)"] [[package]] name = "platformdirs" -version = "4.9.1" +version = "4.9.2" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "platformdirs-4.9.1-py3-none-any.whl", hash = "sha256:61d8b967d34791c162d30d60737369cbbd77debad5b981c4bfda1842e71e0d66"}, - {file = "platformdirs-4.9.1.tar.gz", hash = "sha256:f310f16e89c4e29117805d8328f7c10876eeff36c94eac879532812110f7d39f"}, + {file = "platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd"}, + {file = "platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291"}, ] [[package]] diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index 0bfe38c611ae..ab804c4a8db6 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -1315,14 +1315,14 @@ files = [ [[package]] name = "platformdirs" -version = "4.9.1" +version = "4.9.2" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "platformdirs-4.9.1-py3-none-any.whl", hash = "sha256:61d8b967d34791c162d30d60737369cbbd77debad5b981c4bfda1842e71e0d66"}, - {file = "platformdirs-4.9.1.tar.gz", hash = "sha256:f310f16e89c4e29117805d8328f7c10876eeff36c94eac879532812110f7d39f"}, + {file = "platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd"}, + {file = "platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291"}, ] [[package]] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index c71373e21518..d1e113e9a8a0 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -2456,14 +2456,14 @@ xmp = ["defusedxml"] [[package]] name = "platformdirs" -version = "4.9.1" +version = "4.9.2" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "platformdirs-4.9.1-py3-none-any.whl", hash = "sha256:61d8b967d34791c162d30d60737369cbbd77debad5b981c4bfda1842e71e0d66"}, - {file = "platformdirs-4.9.1.tar.gz", hash = "sha256:f310f16e89c4e29117805d8328f7c10876eeff36c94eac879532812110f7d39f"}, + {file = "platformdirs-4.9.2-py3-none-any.whl", hash = "sha256:9170634f126f8efdae22fb58ae8a0eaa86f38365bc57897a6c4f781d1f5875bd"}, + {file = "platformdirs-4.9.2.tar.gz", hash = "sha256:9a33809944b9db043ad67ca0db94b14bf452cc6aeaac46a88ea55b26e2e9d291"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 11572b1727c6..6fbd5ec1de57 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "0149e89e9f696505312a4c86836531aa0309305d", - "timestamp": "2026-02-16T03:20:12Z" + "commit_hash": "1c207c19da2fb0c7af2eaaf9bcd43f2ef2b7ba8c", + "timestamp": "2026-02-16T04:02:07Z" } From aa4c6779e88a1bec6720e50d4b871b2262b25669 Mon Sep 17 00:00:00 2001 From: dongfengy <99041270+dongfengy@users.noreply.github.com> Date: Mon, 16 Feb 2026 08:27:53 -0800 Subject: [PATCH 137/241] [https://nvbugs/5875296][fix] Fix TritonMOE test for Qwen3_30B_A3B (#11495) Signed-off-by: Dongfeng Yu --- .../defs/accuracy/test_llm_api_pytorch.py | 17 +++++++++-------- .../test_lists/qa/llm_function_core.txt | 2 +- .../test_lists/qa/llm_function_core_sanity.txt | 2 +- .../test_lists/qa/llm_function_nim.txt | 2 +- .../integration/test_lists/test-db/l0_b200.yml | 2 +- 5 files changed, 13 insertions(+), 12 deletions(-) diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py index d92a03f66d61..d6c4b4cee489 100644 --- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py +++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py @@ -3615,10 +3615,7 @@ def test_nvfp4( task = GSM8K(self.MODEL_NAME) task.evaluate(llm) - @pytest.mark.parametrize( - "moe_backend", - ["CUTLASS", - pytest.param("TRITON", marks=skip_no_hopper), "TRTLLM"]) + @pytest.mark.parametrize("moe_backend", ["CUTLASS", "TRTLLM"]) @pytest.mark.parametrize( "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ (1, 1, 1, False, True, True), @@ -3674,11 +3671,15 @@ def test_w4a8_mxfp4(self, moe_backend, tp_size, pp_size, ep_size, task = MMLU(self.MODEL_NAME) task.evaluate(llm) - @skip_pre_blackwell + @pytest.mark.parametrize("moe_backend", [ + pytest.param("TRITON", marks=skip_no_hopper), + pytest.param("TRTLLM", marks=skip_pre_blackwell) + ]) @pytest.mark.parametrize( - "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler,moe_backend", - [(1, 1, 1, False, True, True, "TRTLLM")], - ids=["latency-TRTLLM"]) + "tp_size,pp_size,ep_size,attention_dp,cuda_graph,overlap_scheduler", [ + (1, 1, 1, False, True, True), + ], + ids=["latency"]) def test_w4a16_mxfp4(self, tp_size, pp_size, ep_size, attention_dp, cuda_graph, overlap_scheduler, moe_backend): pytorch_config = dict( diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt index 1e387ea8c06d..0df47e9e503a 100644 --- a/tests/integration/test_lists/qa/llm_function_core.txt +++ b/tests/integration/test_lists/qa/llm_function_core.txt @@ -144,7 +144,7 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_cutl accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtllm-torch_compile=False] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtllm-torch_compile=True] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-CUTLASS] -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRITON] +accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRITON] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-CUTLASS] diff --git a/tests/integration/test_lists/qa/llm_function_core_sanity.txt b/tests/integration/test_lists/qa/llm_function_core_sanity.txt index 8fae1d62933f..f8160c3cae55 100644 --- a/tests/integration/test_lists/qa/llm_function_core_sanity.txt +++ b/tests/integration/test_lists/qa/llm_function_core_sanity.txt @@ -165,7 +165,7 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtl accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtllm-torch_compile=True] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-CUTLASS] -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRITON] +accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRITON] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-CUTLASS] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-TRTLLM] diff --git a/tests/integration/test_lists/qa/llm_function_nim.txt b/tests/integration/test_lists/qa/llm_function_nim.txt index 0b26975d263c..67e026ffdaf7 100644 --- a/tests/integration/test_lists/qa/llm_function_nim.txt +++ b/tests/integration/test_lists/qa/llm_function_nim.txt @@ -141,7 +141,7 @@ accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtl accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_w4a8_mxfp4[fp8-latency] accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_w4a8_mxfp4[mxfp8-latency] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-CUTLASS] -accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRITON] +accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRITON] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-TRTLLM] accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-CUTLASS] diff --git a/tests/integration/test_lists/test-db/l0_b200.yml b/tests/integration/test_lists/test-db/l0_b200.yml index 4e82657d74ec..e89dc8048715 100644 --- a/tests/integration/test_lists/test-db/l0_b200.yml +++ b/tests/integration/test_lists/test-db/l0_b200.yml @@ -50,7 +50,7 @@ l0_b200: - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtllm-torch_compile=False] - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[latency_moe_trtllm-torch_compile=True] - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-CUTLASS] - - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRITON] + - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a16_mxfp4[latency-TRITON] - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[fp8-latency-TRTLLM] - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-TRTLLM] - accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_w4a8_mxfp4[mxfp8-latency-CUTLASS] From fbda4771d8eec4cb1cc6228129d2e6a71cd03799 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 17 Feb 2026 03:39:00 +0000 Subject: [PATCH 138/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 130 ++++++++--------- .../examples/draft_target_model/poetry.lock | 124 ++++++++-------- security_scanning/examples/eagle/poetry.lock | 124 ++++++++-------- .../llm-eval/lm-eval-harness/poetry.lock | 130 ++++++++--------- .../examples/lookahead/poetry.lock | 124 ++++++++-------- security_scanning/examples/medusa/poetry.lock | 124 ++++++++-------- .../models/contrib/baichuan/poetry.lock | 130 ++++++++--------- .../examples/models/contrib/bloom/poetry.lock | 124 ++++++++-------- .../models/contrib/chatglm-6b/poetry.lock | 124 ++++++++-------- .../models/contrib/chatglm2-6b/poetry.lock | 124 ++++++++-------- .../contrib/chatglm3-6b-32k/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/dbrx/poetry.lock | 124 ++++++++-------- .../models/contrib/deepseek_v1/poetry.lock | 124 ++++++++-------- .../models/contrib/deepseek_v2/poetry.lock | 124 ++++++++-------- .../models/contrib/falcon/poetry.lock | 130 ++++++++--------- .../examples/models/contrib/gptj/poetry.lock | 124 ++++++++-------- .../models/contrib/gptneox/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/grok/poetry.lock | 124 ++++++++-------- .../models/contrib/hyperclovax/poetry.lock | 22 +-- .../models/contrib/internlm/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/jais/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/mmdit/poetry.lock | 28 ++-- .../examples/models/contrib/mpt/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/opt/poetry.lock | 124 ++++++++-------- .../models/contrib/skywork/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/smaug/poetry.lock | 124 ++++++++-------- .../examples/models/contrib/stdit/poetry.lock | 38 ++--- .../examples/models/core/commandr/poetry.lock | 124 ++++++++-------- .../examples/models/core/gemma/poetry.lock | 124 ++++++++-------- .../examples/models/core/glm-4-9b/poetry.lock | 124 ++++++++-------- .../examples/models/core/gpt/poetry.lock | 124 ++++++++-------- .../examples/models/core/llama/poetry.lock | 130 ++++++++--------- .../examples/models/core/mamba/poetry.lock | 130 ++++++++--------- .../examples/models/core/nemotron/poetry.lock | 124 ++++++++-------- .../examples/models/core/phi/poetry.lock | 124 ++++++++-------- .../examples/models/core/qwen/poetry.lock | 138 +++++++++--------- .../models/core/qwen2audio/poetry.lock | 130 ++++++++--------- .../examples/models/core/qwenvl/poetry.lock | 130 ++++++++--------- .../models/core/recurrentgemma/poetry.lock | 130 ++++++++--------- .../examples/models/core/whisper/poetry.lock | 132 ++++++++--------- .../models/core/whisper/pyproject.toml | 2 +- security_scanning/examples/ngram/poetry.lock | 124 ++++++++-------- .../examples/quantization/poetry.lock | 130 ++++++++--------- .../examples/ray_orchestrator/poetry.lock | 12 +- .../examples/redrafter/poetry.lock | 124 ++++++++-------- security_scanning/examples/serve/poetry.lock | 136 ++++++++--------- .../examples/trtllm-eval/poetry.lock | 130 ++++++++--------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 112 +++++++------- security_scanning/pyproject.toml | 2 +- 50 files changed, 2764 insertions(+), 2764 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 72faaedc2c68..59c16e0695f6 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -2797,62 +2797,62 @@ tests = ["pytest"] [[package]] name = "pyarrow" -version = "23.0.0" +version = "23.0.1" description = "Python library for Apache Arrow" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pyarrow-23.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = 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platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.20)", "websockets (>=10.4)"] [[package]] name = "xgrammar" @@ -6859,4 +6859,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "9ae5d72e8da4ba984172bbf58d3de635ca63478e6d6453313de42a7b24bef41d" +content-hash = "d5187b1d8292c377d0ece13dea8bbc5b54914ee1fa4ad046198462d5b7d3b910" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 04251cb2115b..0e7c22276c97 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -48,7 +48,7 @@ dependencies = [ "pyzmq (>=27.1.0,<28.0.0)", "fastapi (>=0.120.1,<=0.121.3)", "starlette (>=0.49.1)", - "uvicorn (>=0.40.0,<0.41.0)", + "uvicorn (>=0.41.0,<0.42.0)", "setuptools (<80)", "ordered-set (>=4.1.0,<5.0.0)", "peft (>=0.18.1,<0.19.0)", From cf1b00f7fb7d7ab6dd7e5a92d7c37cbfd0f72db4 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 17 Feb 2026 04:27:40 +0000 Subject: [PATCH 139/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index df3c93f97934..d380e438265b 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "aa4c6779e88a1bec6720e50d4b871b2262b25669", - "timestamp": "2026-02-17T03:15:04Z" + "commit_hash": "fbda4771d8eec4cb1cc6228129d2e6a71cd03799", + "timestamp": "2026-02-17T04:01:46Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 8cb989bdff45..7a9625faff0c 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -4569,14 +4569,14 @@ files = [ [[package]] name = "pycountry" -version = "24.6.1" +version = "26.2.16" description = "ISO country, subdivision, language, currency and script definitions and their translations" optional = false -python-versions = ">=3.8" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pycountry-24.6.1-py3-none-any.whl", hash = "sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f"}, - {file = "pycountry-24.6.1.tar.gz", hash = "sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221"}, + {file = "pycountry-26.2.16-py3-none-any.whl", hash = "sha256:115c4baf7cceaa30f59a4694d79483c9167dbce7a9de4d3d571c5f3ea77c305a"}, + {file = 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b/security_scanning/examples/auto_deploy/poetry.lock @@ -2857,18 +2857,18 @@ files = [ [[package]] name = "pybind11" -version = "3.0.1" +version = "3.0.2" description = "Seamless operability between C++11 and Python" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "pybind11-3.0.1-py3-none-any.whl", hash = "sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89"}, - {file = "pybind11-3.0.1.tar.gz", hash = "sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051"}, + {file = "pybind11-3.0.2-py3-none-any.whl", hash = "sha256:f8a6500548919cc33bcd220d5f984688326f574fa97f1107f2f4fdb4c6fb019f"}, + {file = "pybind11-3.0.2.tar.gz", hash = "sha256:432f01aeb68e361a3a7fc7575c2c7f497595bf640f747acd909ff238dd766e06"}, ] [package.extras] -global = ["pybind11-global (==3.0.1)"] +global = ["pybind11-global (==3.0.2)"] [[package]] name = "pygments" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 9a0a3b3a306a..1362687a268c 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -2620,18 +2620,18 @@ files = [ [[package]] name = "pybind11" -version = "3.0.1" +version = "3.0.2" description = "Seamless operability between C++11 and Python" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "pybind11-3.0.1-py3-none-any.whl", hash = "sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89"}, - {file = "pybind11-3.0.1.tar.gz", hash = "sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051"}, + {file = "pybind11-3.0.2-py3-none-any.whl", hash = "sha256:f8a6500548919cc33bcd220d5f984688326f574fa97f1107f2f4fdb4c6fb019f"}, + {file = "pybind11-3.0.2.tar.gz", hash = "sha256:432f01aeb68e361a3a7fc7575c2c7f497595bf640f747acd909ff238dd766e06"}, ] [package.extras] -global = ["pybind11-global (==3.0.1)"] +global = ["pybind11-global (==3.0.2)"] [[package]] name = "pygments" diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index e2cef1226873..7a832f66d21f 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -2622,18 +2622,18 @@ files = [ [[package]] name = "pybind11" -version = "3.0.1" +version = "3.0.2" description = "Seamless operability between C++11 and Python" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "pybind11-3.0.1-py3-none-any.whl", hash = "sha256:aa8f0aa6e0a94d3b64adfc38f560f33f15e589be2175e103c0a33c6bce55ee89"}, - {file = "pybind11-3.0.1.tar.gz", hash = "sha256:9c0f40056a016da59bab516efb523089139fcc6f2ba7e4930854c61efb932051"}, + {file = "pybind11-3.0.2-py3-none-any.whl", hash = "sha256:f8a6500548919cc33bcd220d5f984688326f574fa97f1107f2f4fdb4c6fb019f"}, + {file = 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+++++++++---------- .../examples/models/contrib/gptj/poetry.lock | 98 +++++++++---------- .../models/contrib/gptneox/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/grok/poetry.lock | 98 +++++++++---------- .../models/contrib/internlm/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/jais/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/mpt/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/opt/poetry.lock | 98 +++++++++---------- .../models/contrib/skywork/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/smaug/poetry.lock | 98 +++++++++---------- .../examples/models/contrib/stdit/poetry.lock | 56 +++++------ .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 98 +++++++++---------- .../examples/models/core/gemma/poetry.lock | 98 +++++++++---------- .../examples/models/core/glm-4-9b/poetry.lock | 98 +++++++++---------- .../examples/models/core/gpt/poetry.lock | 98 +++++++++---------- .../examples/models/core/llama/poetry.lock | 98 +++++++++---------- .../examples/models/core/mamba/poetry.lock | 98 +++++++++---------- .../examples/models/core/nemotron/poetry.lock | 98 +++++++++---------- .../examples/models/core/phi/poetry.lock | 98 +++++++++---------- .../models/core/qwen2audio/poetry.lock | 98 +++++++++---------- .../examples/models/core/qwenvl/poetry.lock | 98 +++++++++---------- .../models/core/recurrentgemma/poetry.lock | 98 +++++++++---------- .../examples/models/core/whisper/poetry.lock | 98 +++++++++---------- security_scanning/examples/ngram/poetry.lock | 98 +++++++++---------- .../examples/quantization/poetry.lock | 98 +++++++++---------- .../examples/ray_orchestrator/poetry.lock | 60 ++++++------ .../examples/ray_orchestrator/pyproject.toml | 2 +- .../examples/redrafter/poetry.lock | 98 +++++++++---------- .../examples/trtllm-eval/poetry.lock | 98 +++++++++---------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock 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<197832395+yuanjingx87@users.noreply.github.com> Date: Wed, 18 Feb 2026 15:24:06 -0800 Subject: [PATCH 142/241] [None][infra] Cherry pick plc pipeline for 1.2 (#11546) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- .../scaffolding/contrib/mcp/weather/uv.lock | 8 + jenkins/GenerateLock.groovy | 134 --------- jenkins/TensorRT_LLM_PLC.groovy | 266 ++++++++++++++++++ .../scripts/submit_vulnerability_report.py | 60 ++++ 4 files changed, 334 insertions(+), 134 deletions(-) create mode 100644 examples/scaffolding/contrib/mcp/weather/uv.lock delete mode 100644 jenkins/GenerateLock.groovy create mode 100644 jenkins/TensorRT_LLM_PLC.groovy create mode 100644 jenkins/scripts/submit_vulnerability_report.py diff --git a/examples/scaffolding/contrib/mcp/weather/uv.lock b/examples/scaffolding/contrib/mcp/weather/uv.lock new file mode 100644 index 000000000000..a6c1670c970b --- /dev/null +++ b/examples/scaffolding/contrib/mcp/weather/uv.lock @@ -0,0 +1,8 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" + +[[package]] +name = "mcp" +version = "0.1.0" +source = { virtual = "." } diff --git a/jenkins/GenerateLock.groovy b/jenkins/GenerateLock.groovy deleted file mode 100644 index b38970102941..000000000000 --- a/jenkins/GenerateLock.groovy +++ /dev/null @@ -1,134 +0,0 @@ -@Library(['trtllm-jenkins-shared-lib@main']) _ - -def createKubernetesPodConfig() -{ - def targetCloud = "kubernetes-cpu" - def selectors = """ - nvidia.com/node_type: builder - kubernetes.io/os: linux""" - def image = "urm.nvidia.com/docker/ubuntu:22.04" - def podConfig = [ - cloud: targetCloud, - namespace: "sw-tensorrt", - yaml: """ - apiVersion: v1 - kind: Pod - spec: - qosClass: Guaranteed - nodeSelector: ${selectors} - containers: - - name: alpine - image: ${image} - command: ['cat'] - tty: true - resources: - requests: - cpu: '8' - memory: 32Gi - ephemeral-storage: 200Gi - limits: - cpu: '8' - memory: 32Gi - ephemeral-storage: 200Gi - imagePullPolicy: Always - qosClass: Guaranteed - """.stripIndent(), - ] - - return podConfig -} - -def generate() -{ - sh "pwd && ls -alh" - - container("alpine") { - def LLM_REPO = "https://github.com/NVIDIA/TensorRT-LLM.git" - if (params.repoUrlKey == "tensorrt_llm_internal") { - withCredentials([string(credentialsId: 'default-llm-repo', variable: 'DEFAULT_LLM_REPO')]) { - LLM_REPO = DEFAULT_LLM_REPO - } - } - if (params.repoUrlKey == "custom_repo") { - if (params.customRepoUrl == "") { - throw new Exception("Invalid custom repo url provided") - } - LLM_REPO = params.customRepoUrl - } - sh "apt update" - sh "apt install -y python3-dev git curl git-lfs" - sh "git config --global --add safe.directory ${env.WORKSPACE}" - sh "git config --global user.email \"90828364+tensorrt-cicd@users.noreply.github.com\"" - sh "git config --global user.name \"TensorRT LLM\"" - trtllm_utils.checkoutSource(LLM_REPO, params.branchName, env.WORKSPACE, false, true) - sh "python3 --version" - sh "curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.8.5 python3 -" - sh "cd ${env.WORKSPACE}" - sh "/root/.local/bin/poetry -h" - sh "export PATH=\"/root/.local/bin:\$PATH\" && python3 scripts/generate_lock_file.py" - def count = sh(script: "git status --porcelain security_scanning/ | wc -l", returnStdout: true).trim() - echo "Changed/untracked file count: ${count}" - if (count == "0") { - echo "No update that needs to be checked in" - } else { - sh "git status" - sh "git add \$(find . -type f \\( -name 'poetry.lock' -o -name 'pyproject.toml' -o -name 'metadata.json' \\))" - sh "git commit -s -m \"[None][infra] Check in most recent lock file from nightly pipeline\"" - withCredentials([ - string(credentialsId: 'svc_tensorrt_gitlab_api_token_no_username_as_string', variable: 'GITLAB_API_TOKEN'), - usernamePassword( - credentialsId: 'github-cred-trtllm-ci', - usernameVariable: 'NOT_IN_USE', - passwordVariable: 'GITHUB_API_TOKEN' - ) - ]) { - def authedUrl - if (params.repoUrlKey == "tensorrt_llm_internal") { - authedUrl = LLM_REPO.replaceFirst('https://', "https://svc_tensorrt:${GITLAB_API_TOKEN}@") - } else { - authedUrl = LLM_REPO.replaceFirst('https://', "https://svc_tensorrt:${GITHUB_API_TOKEN}@") - } - sh "git remote set-url origin ${authedUrl}" - sh "git fetch origin ${params.branchName}" - sh "git status" - sh "git rebase origin/${params.branchName}" - sh "git push origin HEAD:${params.branchName}" - } - } - } -} - - -pipeline { - agent { - kubernetes createKubernetesPodConfig() - } - parameters { - string(name: 'branchName', defaultValue: 'main', description: 'the branch to generate the lock files') - choice(name: 'repoUrlKey', choices: ['tensorrt_llm_github','tensorrt_llm_internal', 'custom_repo'], description: "The repo url to process, choose \"custom_repo\" if you want to set your own repo") - string(name: 'customRepoUrl', defaultValue: '', description: 'Your custom repo to get processed, need to select \"custom_repo\" for repoUrlKey, otherwise it will be ignored') - } - options { - skipDefaultCheckout() - // to better analyze the time for each step/test - timestamps() - } - - triggers { - parameterizedCron(''' - H 2 * * * %branchName=main;repoUrlKey=tensorrt_llm_github - ''') - } - - stages { - stage("Generating Poetry Locks"){ - agent { - kubernetes createKubernetesPodConfig() - } - steps - { - generate() - } - } - } // stages -} // pipeline diff --git a/jenkins/TensorRT_LLM_PLC.groovy b/jenkins/TensorRT_LLM_PLC.groovy new file mode 100644 index 000000000000..37624e8a7d50 --- /dev/null +++ b/jenkins/TensorRT_LLM_PLC.groovy @@ -0,0 +1,266 @@ +@Library(['trtllm-jenkins-shared-lib@main']) _ + +def createKubernetesPodConfig() +{ + def targetCloud = "kubernetes-cpu" + def selectors = """ + nvidia.com/node_type: builder + kubernetes.io/os: linux""" + def image = "urm.nvidia.com/docker/ubuntu:22.04" + def podConfig = [ + cloud: targetCloud, + namespace: "sw-tensorrt", + yaml: """ + apiVersion: v1 + kind: Pod + spec: + nodeSelector: ${selectors} + containers: + - name: alpine + image: ${image} + command: ['cat'] + tty: true + resources: + requests: + cpu: '8' + memory: 32Gi + ephemeral-storage: 200Gi + limits: + cpu: '8' + memory: 32Gi + ephemeral-storage: 200Gi + imagePullPolicy: Always + - name: docker + image: urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:202505221445_docker_dind_withbash + tty: true + resources: + requests: + cpu: 16 + memory: 72Gi + ephemeral-storage: 200Gi + limits: + cpu: 16 + memory: 256Gi + ephemeral-storage: 200Gi + imagePullPolicy: Always + securityContext: + privileged: true + capabilities: + add: + - SYS_ADMIN + qosClass: Guaranteed + """.stripIndent(), + ] + return podConfig +} + +def getLLMRepo () { + def LLM_REPO = "https://github.com/NVIDIA/TensorRT-LLM.git" + if (params.repoUrlKey == "tensorrt_llm_internal") { + withCredentials([string(credentialsId: 'default-llm-repo', variable: 'DEFAULT_LLM_REPO')]) { + LLM_REPO = DEFAULT_LLM_REPO + } + } + if (params.repoUrlKey == "custom_repo") { + if (params.customRepoUrl == "") { + throw new Exception("Invalid custom repo url provided") + } + LLM_REPO = params.customRepoUrl + } + return LLM_REPO +} + +def checkoutSource () +{ + def LLM_REPO = getLLMRepo() + sh "git config --global --add safe.directory ${env.WORKSPACE}" + trtllm_utils.checkoutSource(LLM_REPO, params.branchName, env.WORKSPACE, false, true) +} + +def getPulseToken() { + def token + //Configure credential 'starfleet-client-id' under Jenkins Credential Manager + withCredentials([usernamePassword( + credentialsId: "NSPECT_CLIENT-prod", + usernameVariable: 'SF_CLIENT_ID', + passwordVariable: 'SF_CLIENT_SECRET' + )]) { + def AuthHeader = sh(script: "set +x && echo -n $SF_CLIENT_ID:$SF_CLIENT_SECRET | base64 -w0", returnStdout: true).trim() + token= sh(script: "curl -s --request POST --header \"Authorization: Basic ${AuthHeader}\" --header \"Content-Type: application/x-www-form-urlencoded\" \"https://4ubglassowmtsi7ogqwarmut7msn1q5ynts62fwnr1i.ssa.nvidia.com/token?grant_type=client_credentials&scope=verify:nspectid%20sourcecode:blackduck%20update:report\" | jq \".access_token\" | tr -d '\"'", returnStdout: true).trim() + } + return token +} + +def generateLockFiles(llmRepo, branchName) +{ + container("alpine") { + sh "apt update" + sh "apt install -y python3-dev git curl git-lfs" + sh "python3 --version" + sh "curl -sSL https://install.python-poetry.org | python3 -" + sh "/root/.local/bin/poetry -h" + sh "git config --global --add safe.directory ${env.WORKSPACE}" + sh "git config --global user.email \"90828364+tensorrt-cicd@users.noreply.github.com\"" + sh "git config --global user.name \"TensorRT LLM\"" + sh "export PATH=\"/root/.local/bin:\$PATH\" && python3 scripts/generate_lock_file.py" + def count = sh(script: "git status --porcelain security_scanning/ | wc -l", returnStdout: true).trim() + echo "Changed/untracked file count: ${count}" + if (count == "0") { + echo "No update that needs to be checked in" + } else { + sh "git status" + sh "git add -u security_scanning/" + sh "git add \$(find . -type f \\( -name 'poetry.lock' -o -name 'pyproject.toml' -o -name 'metadata.json' \\))" + sh "git commit -s -m \"[None][infra] Check in most recent lock file from nightly pipeline\"" + withCredentials([ + string(credentialsId: 'svc_tensorrt_gitlab_api_token_no_username_as_string', variable: 'GITLAB_API_TOKEN'), + usernamePassword( + credentialsId: 'github-cred-trtllm-ci', + usernameVariable: 'NOT_IN_USE', + passwordVariable: 'GITHUB_API_TOKEN' + ) + ]) { + def authedUrl + if (params.repoUrlKey == "tensorrt_llm_internal") { + authedUrl = llmRepo.replaceFirst('https://', "https://svc_tensorrt:${GITLAB_API_TOKEN}@") + } else { + authedUrl = llmRepo.replaceFirst('https://', "https://svc_tensorrt:${GITHUB_API_TOKEN}@") + } + sh "git remote set-url origin ${authedUrl}" + sh "git fetch origin ${branchName}" + sh "git status" + sh "git rebase origin/${branchName}" + sh "git push origin HEAD:${branchName}" + } + } + } +} + +def sonar_scan() +{ + container("alpine") { + sh "mkdir -p $JENKINS_HOME" + def scannerHome = tool 'sonarScanner' + sh "apt update" + sh "apt install -y git git-lfs openjdk-17-jdk" + checkoutSource() + sh "cd ${env.WORKSPACE}" + withSonarQubeEnv() { + sh "${scannerHome}/bin/sonar-scanner -Dsonar.projectKey=GPUSW_TensorRT-LLM-Team_TensorRT-LLM_tensorrt-llm -Dsonar.sources=. -Dsonar.branch.name=${params.branchName}" + } + } +} + +def pulseScan(llmRepo, branchName) { + container("docker") { + sh "apk add jq curl" + def token = getPulseToken() + withCredentials([ + usernamePassword( + credentialsId: "svc_tensorrt_gitlab_read_api_token", + usernameVariable: 'USERNAME', + passwordVariable: 'PASSWORD' + ), + string(credentialsId: 'default-git-url', variable: 'DEFAULT_GIT_URL') + ]) { + trtllm_utils.llmExecStepWithRetry(this, script: "docker login ${DEFAULT_GIT_URL}:5005 -u ${USERNAME} -p ${PASSWORD}") + docker.withRegistry("https://${DEFAULT_GIT_URL}:5005") { + docker.image("pstooling/pulse-group/pulse-open-source-scanner/pulse-oss-cli:stable") + .inside("--user 0 --privileged -v /var/run/docker.sock:/var/run/docker.sock") { + withEnv([ + "PULSE_NSPECT_ID=NSPECT-95LK-6FZF", + "PULSE_BEARER_TOKEN=${token}", + "PULSE_REPO_URL=${llmRepo}", + "PULSE_SCAN_PROJECT=TRT-LLM", + "PULSE_SCAN_PROJECT_VERSION=${branchName}", + "PULSE_SCAN_VULNERABILITY_REPORT=nspect_scan_report.json" + ]) { + sh 'pulse scan --no-fail .' + } + } + } + } + sh "ls" + sh "cat nspect_scan_report.json" + withCredentials([string(credentialsId: 'trtllm_plc_slack_webhook', variable: 'PLC_SLACK_WEBHOOK')]) { + def jobPath = env.JOB_NAME.replaceAll("/", "%2F") + def pipelineUrl = "${env.JENKINS_URL}blue/organizations/jenkins/${jobPath}/detail/${jobPath}/${env.BUILD_NUMBER}/pipeline" + sh """ + export TRTLLM_PLC_WEBHOOK=${PLC_SLACK_WEBHOOK} + python3 -m venv venv + source venv/bin/activate + pip install requests + python ./jenkins/scripts/submit_vulnerability_report.py --build-url ${pipelineUrl} + """ + } + } +} + +pipeline { + agent { + kubernetes createKubernetesPodConfig() + } + parameters { + string(name: 'branchName', defaultValue: 'main', description: 'the branch to generate the lock files') + choice(name: 'repoUrlKey', choices: ['tensorrt_llm_github','tensorrt_llm_internal', 'custom_repo'], description: "The repo url to process, choose \"custom_repo\" if you want to set your own repo") + string(name: 'customRepoUrl', defaultValue: '', description: 'Your custom repo to get processed, need to select \"custom_repo\" for repoUrlKey, otherwise it will be ignored') + } + options { + skipDefaultCheckout() + timestamps() + timeout(time: 60, unit: 'MINUTES') + } + environment { + LLM_REPO = getLLMRepo() + BRANCH_NAME = "${params.branchName}" + } + + triggers { + parameterizedCron(''' + H 2 * * * %branchName=main;repoUrlKey=tensorrt_llm_github + H 3 * * * %branchName=release/1.2;repoUrlKey=tensorrt_llm_github + ''') + } + + stages { + stage('TRT-LLM PLC Jobs') { + parallel { + stage("Source Code OSS Scanning"){ + agent { + kubernetes createKubernetesPodConfig() + } + stages { + stage("Prepare Environment"){ + steps + { + checkoutSource() + sh "cd ${env.WORKSPACE}" + } + } + stage("Generate Lock Files"){ + steps + { + generateLockFiles(env.LLM_REPO, env.BRANCH_NAME) + } + } + stage("Run Pulse Scanning"){ + steps + { + pulseScan(env.LLM_REPO, env.BRANCH_NAME) + } + } + } + } + stage("SonarQube Code Analysis"){ + agent { + kubernetes createKubernetesPodConfig() + } + steps + { + sonar_scan() + } + } + } + } + } // stages +} // pipeline diff --git a/jenkins/scripts/submit_vulnerability_report.py b/jenkins/scripts/submit_vulnerability_report.py new file mode 100644 index 000000000000..fb294d98f9f9 --- /dev/null +++ b/jenkins/scripts/submit_vulnerability_report.py @@ -0,0 +1,60 @@ +import argparse +import json +import os +from pathlib import Path + +import requests + +# slack workflow setting can be edited at https://slack.com/shortcuts/Ft0AAER075L3/a314cf6f4a81543cc37b75702c5d10f1 +SLACK_WEBHOOK_URL = os.environ.get("TRTLLM_PLC_WEBHOOK") +# this json file will be generated from pulse in pipeline scanning +INPUT_FILE = "./nspect_scan_report.json" + +parser = argparse.ArgumentParser() +parser.add_argument("--build-url", required=True, help="Jenkins build URL") + +args = parser.parse_args() + +# Throw error if not set +if not SLACK_WEBHOOK_URL: + raise EnvironmentError("Error: Environment variable 'TRTLLM_PLC_WEBHOOK' is not set!") + +# Read file +raw_input = Path(INPUT_FILE).read_text() +vulnerabilities = json.loads(raw_input) + + +def safe(value, default="N/A"): + return value if value else default + + +# Build attachment text +message_lines = ["* TensorRT LLM Source Code Vulnerability Scan Report*\n"] + +severity_rank = {"Critical": 4, "High": 3, "Medium": 2, "Low": 1} + +for v in vulnerabilities: + sev = v.get("Severity", "Low") + if severity_rank.get(sev, 0) <= 2: + continue + shortTermVersion = safe(v.get("Upgrade-Guidance", {}).get("Short-Term")) + longTermVersion = safe(v.get("Upgrade-Guidance", {}).get("Long-Term")) + lines = [ + f"🔴 *{safe(v.get('Severity'))}* — *{safe(v.get('Package Name'))}* `{safe(v.get('Package Version'))}`", + f"• *CVE:* {safe(v.get('Related Vuln'))} | *BDSA:* {safe(v.get('CVE ID'))}", + f"• *Score:* {safe(v.get('Score'))}", + f"• *Status:* {safe(v.get('Status'))}", + f"• *Published:* {safe(v.get('Vulnerability Published Date'))}", + f"• *Upgrade:* `{shortTermVersion}` → `{longTermVersion}`", + "─" * 40, # separator line + ] + message_lines.extend(lines) + +message_text = "\n".join(message_lines) + +payload = {"report": message_text, "pipelineUrl": args.build_url} + +print(payload) +# Send to Slack +resp = requests.post(SLACK_WEBHOOK_URL, json=payload, timeout=60) +resp.raise_for_status() From 82f687870679f2ecfeaec60d4f70dfe4a8f6dce7 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 19 Feb 2026 04:35:04 +0000 Subject: [PATCH 143/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 6 +- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 6 +- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 6 +- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 6 +- .../models/contrib/chatglm2-6b/poetry.lock | 6 +- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 6 +- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 6 +- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/contrib/stdit/poetry.lock | 6 +- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 92 +++++++++--- .../examples/models/core/glm-4-9b/poetry.lock | 6 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../examples/models/core/llama/poetry.lock | 6 +- .../examples/models/core/mamba/poetry.lock | 6 +- .../examples/models/core/mixtral/poetry.lock | 6 +- .../examples/models/core/mllama/poetry.lock | 6 +- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 6 +- .../models/core/qwen2audio/poetry.lock | 6 +- .../examples/models/core/qwenvl/poetry.lock | 6 +- .../models/core/recurrentgemma/poetry.lock | 6 +- .../examples/models/core/whisper/poetry.lock | 136 ++++++++++++++---- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 6 +- .../examples/ray_orchestrator/poetry.lock | 34 +++-- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 6 +- .../examples/trtllm-eval/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 6 +- security_scanning/triton_backend/poetry.lock | 6 +- 51 files changed, 341 insertions(+), 207 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 9ea9a5d954a8..349078b4de85 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -759,14 +759,14 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 7a9dccd8f924..baba94e766b3 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 9d334c9e9d64..79760d826565 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 73897952b42b..2d757299875a 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 7a9dccd8f924..baba94e766b3 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 7a9dccd8f924..baba94e766b3 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = 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b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 674645c9462e..17059d06ebf7 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index 6d80f1c50398..9ed6fb3f6c03 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index 11c4976de7c7..1f7080699383 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = 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description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "virtualenv-20.37.0-py3-none-any.whl", hash = "sha256:5d3951c32d57232ae3569d4de4cc256c439e045135ebf43518131175d9be435d"}, - {file = "virtualenv-20.37.0.tar.gz", hash = "sha256:6f7e2064ed470aa7418874e70b6369d53b66bcd9e9fd5389763e96b6c94ccb7c"}, + {file = "virtualenv-20.36.1-py3-none-any.whl", hash = "sha256:575a8d6b124ef88f6f51d56d656132389f961062a9177016a50e4f507bbcc19f"}, + {file = "virtualenv-20.36.1.tar.gz", hash = "sha256:8befb5c81842c641f8ee658481e42641c68b5eab3521d8e092d18320902466ba"}, ] [package.dependencies] distlib = ">=0.3.7,<1" -filelock = {version = ">=3.24.2,<4", markers = "python_version >= \"3.10\""} +filelock = {version = ">=3.20.1,<4", markers = "python_version >= \"3.10\""} platformdirs = ">=3.9.1,<5" typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\""} [package.extras] -docs = ["furo (>=2023.7.26)", "pre-commit-uv (>=4.1.4)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinx-autodoc-typehints (>=3.6.2)", "sphinx-copybutton (>=0.5.2)", "sphinx-inline-tabs (>=2025.12.21.14)", "sphinxcontrib-mermaid (>=2)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] -test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "pytest-xdist (>=3.5)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] [[package]] name = "wrapt" diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 7a9dccd8f924..baba94e766b3 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -519,14 +519,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 772cd28bd9d5..f347e9dc1931 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -935,14 +935,14 @@ dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4 [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index 8d83d498a372..e7fa328946f2 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -638,14 +638,14 @@ test = ["pytest (>=6)"] [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 78f094164dcd..51fa54f88837 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "4a110dd604c7a5935e0f80b9173d39384c3b8050", - "timestamp": "2026-02-18T04:01:16Z" + "commit_hash": "c426c4910cc60b42d18d39f003df9656bd27bdca", + "timestamp": "2026-02-19T04:05:59Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 0db640b4010c..6f2f61546b8b 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1332,14 +1332,14 @@ standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[stand [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index de473099e536..14d0ae16e65f 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -150,14 +150,14 @@ files = [ [[package]] name = "filelock" -version = "3.24.2" +version = "3.24.3" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.2-py3-none-any.whl", hash = "sha256:667d7dc0b7d1e1064dd5f8f8e80bdac157a6482e8d2e02cd16fd3b6b33bd6556"}, - {file = "filelock-3.24.2.tar.gz", hash = "sha256:c22803117490f156e59fafce621f0550a7a853e2bbf4f87f112b11d469b6c81b"}, + {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, + {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, ] [[package]] From 7d08591ca3ceb92352d2be4a7b7b83bf88c9fcab Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Thu, 19 Feb 2026 09:43:37 -0500 Subject: [PATCH 144/241] [https://nvbugs/839137][fix] Unwaive disagg unexpected ucx error (#11543) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 62275385582c..cc3f55519412 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -346,7 +346,6 @@ accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_mo perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwell-r1_fp4_v2_tep4_mtp3_8k1k] SKIP (https://nvbugs/5819053) unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[limitinf-beta0-alpha0.1-RoutingGPTOSS-512-512-1] SKIP (https://nvbugs/5819042) accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] SKIP (https://nvbugs/5839155) -disaggregated/test_disaggregated.py::test_disaggregated_benchmark_on_diff_backends[llama-v3-8b-hf] SKIP (https://nvbugs/5839137) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_online_eplb288_topk_input[RoutingDSv3-1024-1024-256] SKIP (https://nvbugs/5859881) From 5006b5f664599d67e6e6476492308463b5c669d3 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 20 Feb 2026 04:26:32 +0000 Subject: [PATCH 145/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +- .../examples/auto_deploy/poetry.lock | 267 ++++++------ .../examples/draft_target_model/poetry.lock | 255 ++++++----- security_scanning/examples/eagle/poetry.lock | 255 ++++++----- .../llm-eval/lm-eval-harness/poetry.lock | 255 ++++++----- .../examples/lookahead/poetry.lock | 255 ++++++----- security_scanning/examples/medusa/poetry.lock | 255 ++++++----- .../models/contrib/baichuan/poetry.lock | 255 ++++++----- .../examples/models/contrib/bloom/poetry.lock | 255 ++++++----- .../models/contrib/chatglm-6b/poetry.lock | 255 ++++++----- .../models/contrib/chatglm2-6b/poetry.lock | 255 ++++++----- .../contrib/chatglm3-6b-32k/poetry.lock | 255 ++++++----- .../examples/models/contrib/dbrx/poetry.lock | 255 ++++++----- .../models/contrib/deepseek_v1/poetry.lock | 255 ++++++----- .../models/contrib/deepseek_v2/poetry.lock | 255 ++++++----- .../models/contrib/falcon/poetry.lock | 255 ++++++----- .../examples/models/contrib/gptj/poetry.lock | 255 ++++++----- .../models/contrib/gptneox/poetry.lock | 255 ++++++----- .../examples/models/contrib/grok/poetry.lock | 255 ++++++----- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 255 ++++++----- .../examples/models/contrib/jais/poetry.lock | 255 ++++++----- .../examples/models/contrib/mmdit/poetry.lock | 255 ++++++----- .../examples/models/contrib/mpt/poetry.lock | 255 ++++++----- .../examples/models/contrib/opt/poetry.lock | 255 ++++++----- .../models/contrib/skywork/poetry.lock | 255 ++++++----- .../examples/models/contrib/smaug/poetry.lock | 255 ++++++----- .../examples/models/contrib/stdit/poetry.lock | 255 ++++++----- .../examples/models/core/commandr/poetry.lock | 255 ++++++----- .../examples/models/core/gemma/poetry.lock | 255 ++++++----- .../examples/models/core/glm-4-9b/poetry.lock | 255 ++++++----- .../examples/models/core/gpt/poetry.lock | 255 ++++++----- .../examples/models/core/llama/poetry.lock | 255 ++++++----- .../examples/models/core/mamba/poetry.lock | 255 ++++++----- .../examples/models/core/mixtral/poetry.lock | 249 +++++------ .../examples/models/core/mllama/poetry.lock | 255 ++++++----- .../examples/models/core/nemotron/poetry.lock | 255 ++++++----- .../examples/models/core/phi/poetry.lock | 255 ++++++----- .../examples/models/core/qwen/poetry.lock | 293 ++++++------- .../models/core/qwen2audio/poetry.lock | 255 ++++++----- .../examples/models/core/qwenvl/poetry.lock | 255 ++++++----- .../models/core/recurrentgemma/poetry.lock | 255 ++++++----- .../examples/models/core/whisper/poetry.lock | 255 ++++++----- security_scanning/examples/ngram/poetry.lock | 255 ++++++----- .../examples/quantization/poetry.lock | 255 ++++++----- .../examples/ray_orchestrator/poetry.lock | 138 +++--- .../examples/redrafter/poetry.lock | 255 ++++++----- security_scanning/examples/serve/poetry.lock | 273 ++++++------ .../examples/trtllm-eval/poetry.lock | 255 ++++++----- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 395 +++++++++--------- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 251 ++++++----- .../triton_backend/pyproject.toml | 2 +- 54 files changed, 5890 insertions(+), 6706 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 7215163b083c..51546e828631 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -629,14 +629,14 @@ typing-extensions = ">=4.14.1" [[package]] name = "pydantic-settings" -version = "2.13.0" +version = "2.13.1" description = "Settings management using Pydantic" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "pydantic_settings-2.13.0-py3-none-any.whl", hash = "sha256:d67b576fff39cd086b595441bf9c75d4193ca9c0ed643b90360694d0f1240246"}, - {file = "pydantic_settings-2.13.0.tar.gz", hash = "sha256:95d875514610e8595672800a5c40b073e99e4aae467fa7c8f9c263061ea2e1fe"}, + {file = "pydantic_settings-2.13.1-py3-none-any.whl", hash = "sha256:d56fd801823dbeae7f0975e1f8c8e25c258eb75d278ea7abb5d9cebb01b56237"}, + {file = "pydantic_settings-2.13.1.tar.gz", hash = "sha256:b4c11847b15237fb0171e1462bf540e294affb9b86db4d9aa5c01730bdbe4025"}, ] [package.dependencies] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 349078b4de85..51b81e724eb8 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -771,14 +771,14 @@ files = [ [[package]] name = "flask" -version = "3.1.2" +version = "3.1.3" description = "A simple framework 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a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index 913cc2361211..e1b672b963e6 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -9,6 +9,7 @@ requires-python = ">=3.10,<3.13" dependencies = [ "regex (>=2026.2.19,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", + "tritonclient[all] (>=2.65.0,<3.0.0)", "transformers (==4.57.1)", "tabulate (>=0.9.0,<0.10.0)", "torchao (>=0.14.1)" From 1d229e7c29c4f823eb28361a4825511d301e27ef Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 21 Feb 2026 18:34:29 +0000 Subject: [PATCH 147/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/auto_deploy/poetry.lock | 6 +++--- .../examples/draft_target_model/poetry.lock | 6 +++--- security_scanning/examples/eagle/poetry.lock | 6 +++--- .../examples/llm-eval/lm-eval-harness/poetry.lock | 6 +++--- security_scanning/examples/lookahead/poetry.lock | 6 +++--- security_scanning/examples/medusa/poetry.lock | 6 +++--- .../examples/models/contrib/baichuan/poetry.lock | 6 +++--- .../examples/models/contrib/bloom/poetry.lock | 6 +++--- .../examples/models/contrib/chatglm-6b/poetry.lock | 6 +++--- .../examples/models/contrib/chatglm2-6b/poetry.lock | 6 +++--- .../models/contrib/chatglm3-6b-32k/poetry.lock | 6 +++--- .../examples/models/contrib/dbrx/poetry.lock | 6 +++--- .../examples/models/contrib/deepseek_v1/poetry.lock | 6 +++--- .../examples/models/contrib/deepseek_v2/poetry.lock | 6 +++--- .../examples/models/contrib/falcon/poetry.lock | 6 +++--- .../examples/models/contrib/gptj/poetry.lock | 6 +++--- .../examples/models/contrib/gptneox/poetry.lock | 6 +++--- .../examples/models/contrib/grok/poetry.lock | 6 +++--- .../examples/models/contrib/hyperclovax/poetry.lock | 6 +++--- .../examples/models/contrib/internlm/poetry.lock | 6 +++--- .../examples/models/contrib/jais/poetry.lock | 6 +++--- .../examples/models/contrib/mmdit/poetry.lock | 6 +++--- .../examples/models/contrib/mpt/poetry.lock | 6 +++--- .../examples/models/contrib/opt/poetry.lock | 6 +++--- .../examples/models/contrib/skywork/poetry.lock | 6 +++--- .../examples/models/contrib/smaug/poetry.lock | 6 +++--- .../examples/models/contrib/stdit/poetry.lock | 6 +++--- .../examples/models/core/commandr/poetry.lock | 6 +++--- .../examples/models/core/gemma/poetry.lock | 6 +++--- .../examples/models/core/glm-4-9b/poetry.lock | 6 +++--- .../examples/models/core/gpt/poetry.lock | 6 +++--- .../examples/models/core/llama/poetry.lock | 6 +++--- .../examples/models/core/mamba/poetry.lock | 6 +++--- .../examples/models/core/nemotron/poetry.lock | 6 +++--- .../examples/models/core/phi/poetry.lock | 6 +++--- .../examples/models/core/qwen/poetry.lock | 12 ++++++------ .../examples/models/core/qwen2audio/poetry.lock | 6 +++--- .../examples/models/core/qwenvl/poetry.lock | 6 +++--- .../examples/models/core/recurrentgemma/poetry.lock | 6 +++--- .../examples/models/core/whisper/poetry.lock | 6 +++--- security_scanning/examples/ngram/poetry.lock | 6 +++--- security_scanning/examples/quantization/poetry.lock | 6 +++--- security_scanning/examples/redrafter/poetry.lock | 6 +++--- security_scanning/examples/serve/poetry.lock | 6 +++--- security_scanning/examples/trtllm-eval/poetry.lock | 6 +++--- security_scanning/metadata.json | 4 ++-- 46 files changed, 140 insertions(+), 140 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 51b81e724eb8..6dcd78bc6a23 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -4123,14 +4123,14 @@ test = ["packaging", "pytest (>=6.0.1)", "python-dateutil (>=2.8.0,<3.0.0)", "py [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. 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Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 286f915b93c6..57e434c11b18 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 6e614cb800cb..eec930537736 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 1aca2ad3fb35..9f50e6ed411a 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -3835,14 +3835,14 @@ test = ["packaging", "pytest (>=6.0.1)", "python-dateutil (>=2.8.0,<3.0.0)", "py [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 286f915b93c6..57e434c11b18 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 286f915b93c6..57e434c11b18 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 5a84db83b4eb..9ac71ad1057f 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -2259,14 +2259,14 @@ transformers = ">=4.26.1" [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 9d508051f1c9..9ebca8654bc9 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index ba7fbcf22ef7..78dbac3248a4 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -2185,14 +2185,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index ba7fbcf22ef7..78dbac3248a4 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -2185,14 +2185,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index ba7fbcf22ef7..78dbac3248a4 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -2185,14 +2185,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 267d9f50acbc..b40a84760114 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -2065,14 +2065,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index f3a5b1f428b0..97662799d714 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index c6aecdb79b24..53815c1fc227 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -2150,14 +2150,14 @@ vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 6e614cb800cb..eec930537736 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 62709656a927..2813b55d4cd5 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -2989,14 +2989,14 @@ test = ["absl-py (>=1.4.0)", "jax (>=0.4.23)", "omegaconf (>=2.0.0)", "pydantic [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index 087e7c324f40..ac468c20b007 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -1428,14 +1428,14 @@ tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 286f915b93c6..57e434c11b18 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 9d508051f1c9..9ebca8654bc9 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 8a5f85fd6e92..27bdcdb5274d 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -1137,14 +1137,14 @@ vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 9d508051f1c9..9ebca8654bc9 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 9d508051f1c9..9ebca8654bc9 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index c55a10232f08..319cd62b880e 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2504,14 +2504,14 @@ tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 2ff5f9f90f38..3af8275f9dd0 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -2938,14 +2938,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index ba7fbcf22ef7..78dbac3248a4 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -2185,14 +2185,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index 9d508051f1c9..9ebca8654bc9 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 8092c009e2ba..e0e6d0121062 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -2150,14 +2150,14 @@ vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 126aab1c10fb..51aeec22025c 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -2150,14 +2150,14 @@ vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index b7b03725874f..ebe98c0814ba 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -2012,14 +2012,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 28ece4d8a798..cc9cff22a7f7 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -2077,14 +2077,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 5954b650cd98..2c8ca5efb8f8 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -585,14 +585,14 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.129.0" +version = "0.129.2" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fastapi-0.129.0-py3-none-any.whl", hash = "sha256:b4946880e48f462692b31c083be0432275cbfb6e2274566b1be91479cc1a84ec"}, - {file = "fastapi-0.129.0.tar.gz", hash = "sha256:61315cebd2e65df5f97ec298c888f9de30430dd0612d59d6480beafbc10655af"}, + {file = "fastapi-0.129.2-py3-none-any.whl", hash = "sha256:e21d9f6e8db376655187905ad0145edd6f6a4e5f2bff241c4efb8a0bffd6a540"}, + {file = "fastapi-0.129.2.tar.gz", hash = "sha256:e2b3637a2b47856e704dbd9a3a09393f6df48e8b9cb6c7a3e26ba44d2053f9ab"}, ] [package.dependencies] @@ -3191,14 +3191,14 @@ transformers = ">=4.26.1" [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 239e25716b1b..66bfe05cfbb9 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -2334,14 +2334,14 @@ transformers = ">=4.26.1" [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 3a312e04875f..917a9c41de00 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -3553,14 +3553,14 @@ tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 1d5ad8e602bb..0edae8224f43 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -2890,14 +2890,14 @@ test = ["mypy ; platform_python_implementation != \"PyPy\"", "pytest", "typing-e [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index bd2bf6d12512..646dc373dd33 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -3535,14 +3535,14 @@ tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index 84dd33b38824..9b34f8817488 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -2027,14 +2027,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 5fd270cd8f8d..2f02c7288367 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -2225,14 +2225,14 @@ transformers = ">=4.26.1" [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 286f915b93c6..57e434c11b18 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -2091,14 +2091,14 @@ telegram = ["requests"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 4ebafcce0c6b..3cdccce0816e 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -4083,14 +4083,14 @@ vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] [[package]] name = "typer" -version = "0.24.0" +version = "0.24.1" description = "Typer, build great CLIs. Easy to code. 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Easy to code. Based on Python type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "typer-0.24.0-py3-none-any.whl", hash = "sha256:5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8"}, - {file = "typer-0.24.0.tar.gz", hash = "sha256:f9373dc4eff901350694f519f783c29b6d7a110fc0dcc11b1d7e353b85ca6504"}, + {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"}, + {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index b25a04b26aa4..56ade3fbc4cf 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "5006b5f664599d67e6e6476492308463b5c669d3", - "timestamp": "2026-02-21T03:53:23Z" + "commit_hash": "5bd86618ae771d30f4e59c51aab06b7849c58a80", + "timestamp": "2026-02-21T18:12:35Z" } From 73db5c0ae1bff01ae09ed3e32ec733921f588c30 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 22 Feb 2026 04:23:19 +0000 Subject: [PATCH 148/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 56ade3fbc4cf..a4cadb040fd7 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "5bd86618ae771d30f4e59c51aab06b7849c58a80", - "timestamp": "2026-02-21T18:12:35Z" + "commit_hash": "1d229e7c29c4f823eb28361a4825511d301e27ef", + "timestamp": "2026-02-22T04:00:44Z" } From 8e9c39a19b2f61eaf360f495b772d4b5868aee12 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 22 Feb 2026 11:30:16 +0000 Subject: [PATCH 149/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 +- security_scanning/triton_backend/poetry.lock | 158 +++++++++---------- 2 files changed, 81 insertions(+), 81 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index a4cadb040fd7..84d922012387 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "1d229e7c29c4f823eb28361a4825511d301e27ef", - "timestamp": "2026-02-22T04:00:44Z" + "commit_hash": "73db5c0ae1bff01ae09ed3e32ec733921f588c30", + "timestamp": "2026-02-22T11:05:58Z" } diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index c910a260be2d..bd68394fc738 100644 --- 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LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index d374a0304b6c..47e548ea13da 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "8e9c39a19b2f61eaf360f495b772d4b5868aee12", - "timestamp": "2026-02-23T00:42:01Z" + "commit_hash": "275f61576ed40dc56b1fc0cf360a8c4ce4a46e52", + "timestamp": "2026-02-23T01:49:20Z" } From c5127f61ec0add379f931faf8e049e14a9842f7d Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 23 Feb 2026 02:51:40 +0000 Subject: [PATCH 152/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 47e548ea13da..339bba1f4e98 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "275f61576ed40dc56b1fc0cf360a8c4ce4a46e52", - "timestamp": "2026-02-23T01:49:20Z" + "commit_hash": "fe914812dbaf3992884355845e683acd1838b3cd", + "timestamp": "2026-02-23T02:28:19Z" } From 4e96ed13b77af8ae68bebdb3e5d39c418d5f2c07 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 23 Feb 2026 04:23:44 +0000 Subject: [PATCH 153/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 339bba1f4e98..065e73de9131 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "fe914812dbaf3992884355845e683acd1838b3cd", - "timestamp": "2026-02-23T02:28:19Z" + "commit_hash": "c5127f61ec0add379f931faf8e049e14a9842f7d", + "timestamp": "2026-02-23T04:01:34Z" } From 48c03d35636949f7c03c6f64e71966a7538a8561 Mon Sep 17 00:00:00 2001 From: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com> Date: Mon, 23 Feb 2026 13:23:09 +0800 Subject: [PATCH 154/241] =?UTF-8?q?[https://nvbugs/5823783][fix]=20Fix=20m?= =?UTF-8?q?ulti-node=20trust=5Fremote=5Fcode=20hang=20i=E2=80=A6=20(#11383?= =?UTF-8?q?)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com> --- tensorrt_llm/tokenizer/tokenizer.py | 77 ++++++++++++++++++++++++++++- 1 file changed, 76 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/tokenizer/tokenizer.py b/tensorrt_llm/tokenizer/tokenizer.py index 25c224cc24a3..5d9de307b35f 100644 --- a/tensorrt_llm/tokenizer/tokenizer.py +++ b/tensorrt_llm/tokenizer/tokenizer.py @@ -1,4 +1,5 @@ import os +import pickle # nosec B403 from pathlib import Path from typing import Any, Dict, List, Optional, Tuple, Union @@ -25,6 +26,12 @@ class TokenizerBase(PreTrainedTokenizerBase): ''' This is a protocol for the tokenizer. Users can implement their own tokenizer by inheriting this class. ''' +def _reconstruct_transformers_tokenizer(inner_bytes: bytes): + '''Reconstruct a TransformersTokenizer from cloudpickle-serialized bytes.''' + # nosec B301: inner_bytes is from cloudpickle.dumps() in __reduce__, not untrusted data + return TransformersTokenizer(pickle.loads(inner_bytes)) # nosec B301 + + class TransformersTokenizer(TokenizerBase): ''' A wrapper for the Transformers' tokenizer. This is the default tokenizer for LLM. ''' @@ -33,6 +40,34 @@ def __init__(self, tokenizer): self.tokenizer = tokenizer self._all_special_tokens_set = set(self.tokenizer.all_special_tokens) + def __reduce__(self): + # In multi-node scenarios, AutoTokenizer.from_pretrained with + # trust_remote_code=True may create dynamic Python modules cached at + # $HOME/.cache/huggingface/modules/transformers_modules/. + # These modules are node-local and won't exist on other nodes. + # Standard pickle serializes classes by reference, so deserializing + # a tokenizer that uses such a dynamic class fails on other nodes. + # + # To solve this, we use cloudpickle (if available) to serialize the + # inner tokenizer by value, embedding the class definition in the + # serialized bytes. This follows vLLM PR #6751. + # + # See: https://github.com/vllm-project/vllm/pull/6751 + try: + import cloudpickle + # Ensure dynamic transformers_modules are registered for by-value + # serialization, regardless of how the tokenizer was created. + maybe_register_transformers_modules_by_value() + inner_bytes = cloudpickle.dumps(self.tokenizer) + return (_reconstruct_transformers_tokenizer, (inner_bytes, )) + except ImportError: + # cloudpickle not installed; fall back to default pickling. + # This may fail on other nodes if the tokenizer uses dynamic + # modules from trust_remote_code. + logger.warning( + "cloudpickle is not installed. TransformersTokenizer will not be serializable across nodes in multi-node setups. Install cloudpickle to fix this: pip install cloudpickle") + return (TransformersTokenizer, (self.tokenizer, )) + def __call__(self, text: str, *args, **kwargs) -> Any: return self.tokenizer(text, *args, **kwargs) @@ -340,6 +375,41 @@ def _llguidance_tokenizer_info(tokenizer): return tokenizer_info +def maybe_register_transformers_modules_by_value(): + '''Register transformers dynamic modules for by-value serialization. + + With trust_remote_code, AutoTokenizer.from_pretrained may create dynamic + modules cached at $HOME/.cache/huggingface/modules/transformers_modules/. + These modules are node-local and won't exist on other nodes in multi-node + setups. This function registers them with cloudpickle for by-value + serialization, so that objects from these modules can be pickled and + sent to other nodes without needing the module files there. + + References: + https://github.com/vllm-project/vllm/pull/6751 + https://github.com/cloudpipe/cloudpickle#overriding-pickles-serialization-mechanism-for-importable-constructs + ''' + try: + import transformers_modules + except ImportError: + # No dynamic modules were created, nothing to register. + return + + try: + import cloudpickle + cloudpickle.register_pickle_by_value(transformers_modules) + except ImportError: + logger.warning( + "cloudpickle is not installed. Objects from trust_remote_code " + "dynamic modules may not be serializable across nodes in " + "multi-node setups. Install cloudpickle to fix this: " + "pip install cloudpickle") + except Exception as e: + logger.warning( + f"Failed to register transformers_modules for by-value " + f"serialization: {e}") + + def load_hf_tokenizer(model_dir: str, trust_remote_code: bool = True, use_fast: bool = True, @@ -356,7 +426,7 @@ def load_hf_tokenizer(model_dir: str, ''' try: - return TransformersTokenizer.from_pretrained( + tokenizer = TransformersTokenizer.from_pretrained( model_dir, legacy=False, padding_side='left', @@ -365,6 +435,11 @@ def load_hf_tokenizer(model_dir: str, use_fast=use_fast, **kwargs) + if trust_remote_code: + maybe_register_transformers_modules_by_value() + + return tokenizer + except Exception as e: logger.warning( f"Failed to load hf tokenizer from {model_dir}, encounter error: {e}" From c42ba80f1d8e5aeb4d9cb80ed1c83d2edeed9b2c Mon Sep 17 00:00:00 2001 From: Jie Li <76780849+jieli-matrix@users.noreply.github.com> Date: Mon, 23 Feb 2026 16:12:53 +0800 Subject: [PATCH 155/241] [None][infra] Waive failures on release 1.2 (#11639) Signed-off-by: Jie Li --- tests/integration/test_lists/waives.txt | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index cc3f55519412..0ee7b960e030 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -349,3 +349,5 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_online_eplb288_topk_input[RoutingDSv3-1024-1024-256] SKIP (https://nvbugs/5859881) +unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5920779) +accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-cutlass-auto] SKIP (https://nvbugs/5920771) From 4f6acbbde2f81f4c834e2b88ca53884d037bb008 Mon Sep 17 00:00:00 2001 From: dominicshanshan <30051912+dominicshanshan@users.noreply.github.com> Date: Mon, 23 Feb 2026 21:06:38 +0800 Subject: [PATCH 156/241] [None][chore] Fix gpu memory requirement in stress test (#11404) Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com> --- .../defs/stress_test/stress_test.py | 27 +++++++++++++------ 1 file changed, 19 insertions(+), 8 deletions(-) diff --git a/tests/integration/defs/stress_test/stress_test.py b/tests/integration/defs/stress_test/stress_test.py index 2de8a3880199..901c81c252b4 100644 --- a/tests/integration/defs/stress_test/stress_test.py +++ b/tests/integration/defs/stress_test/stress_test.py @@ -384,31 +384,39 @@ def is_port_available(port: int, "config", [ # Configuration for TinyLlama model + # memory_requirement is in MiB (12 GB = 12288 MiB) ModelConfig(model_dir="llama-models-v2/TinyLlama-1.1B-Chat-v1.0", tp_size=1, - memory_requirement=12), + memory_requirement=12288), # Configuration for Llama-v3 model + # memory_requirement is in MiB (12 GB = 12288 MiB) ModelConfig(model_dir="llama-models-v3/llama-v3-8b-instruct-hf", tp_size=1, - memory_requirement=12), + memory_requirement=12288), # Configuration for DeepSeek-V3 model - ModelConfig(model_dir="DeepSeek-V3", tp_size=8, memory_requirement=96), + # memory_requirement is in MiB (96 GB = 98304 MiB) + ModelConfig( + model_dir="DeepSeek-V3", tp_size=8, memory_requirement=98304), # Configuration for DeepSeek-R1 model with FP8 checkpoints (8 GPU setup) + # memory_requirement is in MiB (96 GB = 98304 MiB) ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1", tp_size=8, - memory_requirement=96), + memory_requirement=98304), # Configuration for DeepSeek-R1 model with FP8 checkpoints (4 GPU setup, requires GB300 288GB) + # memory_requirement is in MiB (256 GB = 262144 MiB) ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1", tp_size=4, - memory_requirement=256), + memory_requirement=262144), # Configuration for DeepSeek-R1 model with NVFP4 checkpoints (8 GPU setup) + # memory_requirement is in MiB (96 GB = 98304 MiB) ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1-0528-FP4", tp_size=8, - memory_requirement=96), + memory_requirement=98304), # Configuration for DeepSeek-R1 model with NVFP4 checkpoints (4 GPU setup) + # memory_requirement is in MiB (168 GB = 172032 MiB) ModelConfig(model_dir="DeepSeek-R1/DeepSeek-R1-0528-FP4", tp_size=4, - memory_requirement=168), + memory_requirement=172032), ], ids=lambda x: f"{os.path.basename(x.model_dir)}_tp{x.tp_size}") def test_run_stress_test(config, stress_time_timeout, backend, @@ -490,9 +498,12 @@ def stress_test(config, return # Skip if not enough GPU memory + # get_device_memory() returns per-GPU memory in MiB if get_device_memory() < config.memory_requirement: pytest.skip( - f"Not enough GPU memory. Required: {config.memory_requirement}GB") + f"Not enough GPU memory. Required: {config.memory_requirement} MiB ({config.memory_requirement // 1024} GB), " + f"Available: {get_device_memory()} MiB ({get_device_memory() // 1024} GB)" + ) # Skip if not enough GPUs for tensor parallelism if get_device_count() < config.tp_size: From 1510a14a51f8f50813f9e3bdd490f037e6a0d1d7 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 24 Feb 2026 04:57:48 +0000 Subject: [PATCH 157/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/auto_deploy/poetry.lock | 50 +++++++-------- .../examples/draft_target_model/poetry.lock | 46 ++++++------- security_scanning/examples/eagle/poetry.lock | 46 ++++++------- .../llm-eval/lm-eval-harness/poetry.lock | 50 +++++++-------- .../examples/lookahead/poetry.lock | 46 ++++++------- security_scanning/examples/medusa/poetry.lock | 46 ++++++------- .../models/contrib/baichuan/poetry.lock | 46 ++++++------- .../examples/models/contrib/bloom/poetry.lock | 46 ++++++------- .../models/contrib/chatglm-6b/poetry.lock | 46 ++++++------- .../models/contrib/chatglm2-6b/poetry.lock | 46 ++++++------- .../contrib/chatglm3-6b-32k/poetry.lock | 46 ++++++------- .../examples/models/contrib/dbrx/poetry.lock | 46 ++++++------- .../models/contrib/deepseek_v1/poetry.lock | 46 ++++++------- .../models/contrib/deepseek_v2/poetry.lock | 46 ++++++------- .../models/contrib/falcon/poetry.lock | 46 ++++++------- .../examples/models/contrib/gptj/poetry.lock | 46 ++++++------- .../models/contrib/gptneox/poetry.lock | 46 ++++++------- .../examples/models/contrib/grok/poetry.lock | 46 ++++++------- .../models/contrib/hyperclovax/poetry.lock | 58 ++++++++--------- .../models/contrib/hyperclovax/pyproject.toml | 2 +- .../models/contrib/internlm/poetry.lock | 46 ++++++------- .../examples/models/contrib/jais/poetry.lock | 46 ++++++------- .../examples/models/contrib/mmdit/poetry.lock | 46 ++++++------- .../examples/models/contrib/mpt/poetry.lock | 46 ++++++------- .../examples/models/contrib/opt/poetry.lock | 46 ++++++------- .../models/contrib/skywork/poetry.lock | 46 ++++++------- .../examples/models/contrib/smaug/poetry.lock | 46 ++++++------- .../examples/models/contrib/stdit/poetry.lock | 50 +++++++-------- .../examples/models/core/commandr/poetry.lock | 46 ++++++------- .../examples/models/core/gemma/poetry.lock | 46 ++++++------- .../examples/models/core/glm-4-9b/poetry.lock | 46 ++++++------- .../examples/models/core/gpt/poetry.lock | 46 ++++++------- .../examples/models/core/llama/poetry.lock | 46 ++++++------- .../examples/models/core/mamba/poetry.lock | 46 ++++++------- .../examples/models/core/mixtral/poetry.lock | 50 +++++++-------- .../examples/models/core/mllama/poetry.lock | 50 +++++++-------- .../examples/models/core/nemotron/poetry.lock | 46 ++++++------- .../examples/models/core/phi/poetry.lock | 46 ++++++------- .../examples/models/core/qwen/poetry.lock | 60 ++++++++--------- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 46 ++++++------- .../examples/models/core/qwenvl/poetry.lock | 50 +++++++-------- .../models/core/recurrentgemma/poetry.lock | 46 ++++++------- .../examples/models/core/whisper/poetry.lock | 50 +++++++-------- security_scanning/examples/ngram/poetry.lock | 46 ++++++------- .../examples/quantization/poetry.lock | 46 ++++++------- .../examples/ray_orchestrator/poetry.lock | 18 ++---- .../examples/redrafter/poetry.lock | 46 ++++++------- security_scanning/examples/serve/poetry.lock | 58 ++++++++--------- .../examples/trtllm-eval/poetry.lock | 50 +++++++-------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 64 +++++++++---------- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 50 +++++++-------- 55 files changed, 1188 insertions(+), 1192 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index ee214e3d0c19..0cad924a4d44 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.21.0" +version = "2.23.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.21.0-py3-none-any.whl", hash = "sha256:0bc1c775e5b1536c294eded39ee08f8407656537ccc71b1004104fe1602e267c"}, - {file = "openai-2.21.0.tar.gz", hash = "sha256:81b48ce4b8bbb2cc3af02047ceb19561f7b1dc0d4e52d1de7f02abfd15aa59b7"}, + {file = "openai-2.23.0-py3-none-any.whl", hash = "sha256:1041d40bebf845053fda1946104f8bf9c3e2df957a41c3878c55c72c352630e9"}, + {file = "openai-2.23.0.tar.gz", hash = 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Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 58a8b003e645..007e46a27774 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "4f6acbbde2f81f4c834e2b88ca53884d037bb008", - "timestamp": "2026-02-24T04:07:50Z" + "commit_hash": "1510a14a51f8f50813f9e3bdd490f037e6a0d1d7", + "timestamp": "2026-02-24T06:53:34Z" } From 08318ab98e71668fbce55e92382ff0e68a18c0c2 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 25 Feb 2026 06:09:44 +0000 Subject: [PATCH 159/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 6 +- security_scanning/examples/apps/poetry.lock | 12 +-- .../examples/auto_deploy/poetry.lock | 63 ++++++++------- .../examples/draft_target_model/poetry.lock | 63 ++++++++------- security_scanning/examples/eagle/poetry.lock | 63 ++++++++------- .../llm-eval/lm-eval-harness/poetry.lock | 63 ++++++++------- .../examples/lookahead/poetry.lock | 63 ++++++++------- security_scanning/examples/medusa/poetry.lock | 63 ++++++++------- .../models/contrib/baichuan/poetry.lock | 63 ++++++++------- .../examples/models/contrib/bloom/poetry.lock | 63 ++++++++------- .../models/contrib/chatglm-6b/poetry.lock | 63 ++++++++------- .../models/contrib/chatglm2-6b/poetry.lock | 63 ++++++++------- .../contrib/chatglm3-6b-32k/poetry.lock | 63 ++++++++------- .../examples/models/contrib/dbrx/poetry.lock | 63 ++++++++------- .../models/contrib/deepseek_v1/poetry.lock | 63 ++++++++------- .../models/contrib/deepseek_v2/poetry.lock | 63 ++++++++------- .../models/contrib/falcon/poetry.lock | 63 ++++++++------- .../examples/models/contrib/gptj/poetry.lock | 63 ++++++++------- .../models/contrib/gptneox/poetry.lock | 63 ++++++++------- .../examples/models/contrib/grok/poetry.lock | 63 ++++++++------- .../models/contrib/hyperclovax/poetry.lock | 55 +++++++------ .../models/contrib/internlm/poetry.lock | 63 ++++++++------- .../examples/models/contrib/jais/poetry.lock | 63 ++++++++------- .../examples/models/contrib/mmdit/poetry.lock | 55 +++++++------ .../examples/models/contrib/mpt/poetry.lock | 63 ++++++++------- .../examples/models/contrib/opt/poetry.lock | 63 ++++++++------- .../models/contrib/skywork/poetry.lock | 63 ++++++++------- .../examples/models/contrib/smaug/poetry.lock | 63 ++++++++------- .../examples/models/contrib/stdit/poetry.lock | 55 +++++++------ .../examples/models/core/commandr/poetry.lock | 63 ++++++++------- .../examples/models/core/gemma/poetry.lock | 65 +++++++-------- .../examples/models/core/gemma/pyproject.toml | 2 +- .../examples/models/core/glm-4-9b/poetry.lock | 63 ++++++++------- .../examples/models/core/gpt/poetry.lock | 63 ++++++++------- .../examples/models/core/llama/poetry.lock | 63 ++++++++------- .../examples/models/core/mamba/poetry.lock | 63 ++++++++------- .../examples/models/core/mixtral/poetry.lock | 55 +++++++------ .../examples/models/core/mllama/poetry.lock | 55 +++++++------ .../examples/models/core/nemotron/poetry.lock | 63 ++++++++------- .../examples/models/core/phi/poetry.lock | 63 ++++++++------- .../examples/models/core/qwen/poetry.lock | 79 ++++++++++--------- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 63 ++++++++------- .../examples/models/core/qwenvl/poetry.lock | 63 ++++++++------- .../models/core/recurrentgemma/poetry.lock | 63 ++++++++------- .../examples/models/core/whisper/poetry.lock | 55 +++++++------ security_scanning/examples/ngram/poetry.lock | 63 ++++++++------- .../examples/quantization/poetry.lock | 63 ++++++++------- .../examples/ray_orchestrator/poetry.lock | 6 +- .../examples/redrafter/poetry.lock | 63 ++++++++------- security_scanning/examples/serve/poetry.lock | 55 +++++++------ .../examples/trtllm-eval/poetry.lock | 63 ++++++++------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 63 ++++++++------- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 55 +++++++------ 56 files changed, 1611 insertions(+), 1464 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 51546e828631..ecf6a29db2ae 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -127,14 +127,14 @@ test = ["pytest (>=8.0)"] [[package]] name = "certifi" -version = "2026.1.4" +version = "2026.2.25" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" groups = 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tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 0ee7b960e030..869420f22f6b 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -345,7 +345,6 @@ unittest/_torch/misc/test_autotuner.py::test_autotuner_distributed_strategy[2-Di accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model[ctxpp2gentp2] SKIP (https://nvbugs/5748664) perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwell-r1_fp4_v2_tep4_mtp3_8k1k] SKIP (https://nvbugs/5819053) unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[limitinf-beta0-alpha0.1-RoutingGPTOSS-512-512-1] SKIP (https://nvbugs/5819042) -accuracy/test_llm_api_pytorch.py::TestDeepSeekR1::test_fp8_blockscale[throughput_mtp] SKIP (https://nvbugs/5839155) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_online_eplb288_topk_input[RoutingDSv3-1024-1024-256] SKIP (https://nvbugs/5859881) From ea5d0b5a0c49f5bb93a3cadd987bdd9029a22bb5 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 26 Feb 2026 03:52:49 +0000 Subject: [PATCH 161/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 30 +++++++++---------- .../llm-eval/lm-eval-harness/poetry.lock | 30 +++++++++---------- .../models/contrib/hyperclovax/poetry.lock | 4 +-- .../examples/models/contrib/stdit/poetry.lock | 4 +-- .../examples/models/core/mixtral/poetry.lock | 4 +-- .../examples/models/core/mllama/poetry.lock | 4 +-- .../examples/models/core/qwen/poetry.lock | 6 ++-- .../examples/models/core/qwenvl/poetry.lock | 4 +-- .../examples/models/core/whisper/poetry.lock | 4 +-- .../examples/ray_orchestrator/poetry.lock | 27 +++++++++++++++-- .../examples/trtllm-eval/poetry.lock | 30 +++++++++---------- security_scanning/metadata.json | 4 +-- security_scanning/poetry.lock | 4 +-- security_scanning/triton_backend/poetry.lock | 4 +-- 14 files changed, 90 insertions(+), 69 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 6f08a1aadda0..0c136168993a 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -570,14 +570,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" 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"zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 68e1828cbc11..483efb04dbc9 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -491,14 +491,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = 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-fsspec = {version = ">=2023.1.0,<=2025.10.0", extras = ["http"]} +fsspec = {version = ">=2023.1.0,<=2026.2.0", extras = ["http"]} httpx = "<1.0.0" huggingface-hub = ">=0.25.0,<2.0" multiprocess = "<0.70.19" @@ -790,14 +790,14 @@ files = [ [[package]] name = "fsspec" -version = "2025.10.0" +version = "2026.2.0" description = "File-system specification" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"}, - {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"}, + {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, + {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, ] [package.dependencies] @@ -811,9 +811,9 @@ dask = ["dask", "distributed"] dev = ["pre-commit", "ruff (>=0.5)"] doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] -full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"] fuse = ["fusepy"] -gcs = ["gcsfs"] +gcs = ["gcsfs (>2024.2.0)"] git = ["pygit2"] github = ["requests"] gs = ["gcsfs"] @@ -822,13 +822,13 @@ hdfs = ["pyarrow (>=1)"] http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] libarchive = ["libarchive-c"] oci = ["ocifs"] -s3 = ["s3fs"] +s3 = ["s3fs (>2024.2.0)"] sftp = ["paramiko"] smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index f6edbcddc9a8..d945deed129e 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -176,14 +176,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index f64dcb7af2cf..8dc374fb1d52 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -614,14 +614,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 7dbb55ee03fa..af4b52a6d82d 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -223,14 +223,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index 119c72ee1844..f46f7dfd6bd0 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -216,14 +216,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 3492807656bc..d69ee9881c71 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -585,14 +585,14 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.133.0" +version = "0.133.1" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fastapi-0.133.0-py3-none-any.whl", hash = "sha256:0a78878483d60702a1dde864c24ab349a1a53ef4db6b6f74f8cd4a2b2bc67d2f"}, - {file = "fastapi-0.133.0.tar.gz", hash = "sha256:b900a2bf5685cdb0647a41d5900bdeafc3a9e8a28ac08c6246b76699e164d60d"}, + {file = "fastapi-0.133.1-py3-none-any.whl", hash = "sha256:658f34ba334605b1617a65adf2ea6461901bdb9af3a3080d63ff791ecf7dc2e2"}, + {file = "fastapi-0.133.1.tar.gz", hash = "sha256:ed152a45912f102592976fde6cbce7dae1a8a1053da94202e51dd35d184fadd6"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 88719f2f8cd9..e59254f1ae00 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -618,14 +618,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index bc36ac7d19ac..67a81afc0075 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -549,14 +549,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index 42d2c58ac308..99c5acdf065d 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -1727,6 +1727,26 @@ files = [ [package.dependencies] typing-extensions = ">=4.14.1" +[[package]] +name = "python-discovery" +version = "1.0.0" +description = "Python interpreter discovery" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "python_discovery-1.0.0-py3-none-any.whl", hash = "sha256:7cd9eaf3b1845875e22084f92d0ec2e309be2a3f839a9eb52980d647b72bd891"}, + {file = "python_discovery-1.0.0.tar.gz", hash = "sha256:8bc352d504f66fd82f93e73f1cbfbf3f3f06d559aafd14c24a7f1f38906ad3e8"}, +] + +[package.dependencies] +filelock = ">=3.15.4" +platformdirs = ">=4.3.6,<5" + +[package.extras] +docs = ["furo (>=2025.12.19)", "sphinx (>=9.1)", "sphinx-autodoc-typehints (>=3.6.3)", "sphinxcontrib-mermaid (>=2)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.5.4)", "pytest (>=8.3.5)", "pytest-mock (>=3.14)", "setuptools (>=75.1)"] + [[package]] name = "pyyaml" version = "6.0.3" @@ -2144,20 +2164,21 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "virtualenv" -version = "20.39.0" +version = "21.0.0" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "virtualenv-20.39.0-py3-none-any.whl", hash = "sha256:44888bba3775990a152ea1f73f8e5f566d49f11bbd1de61d426fd7732770043e"}, - {file = "virtualenv-20.39.0.tar.gz", hash = "sha256:a15f0cebd00d50074fd336a169d53422436a12dfe15149efec7072cfe817df8b"}, + {file = "virtualenv-21.0.0-py3-none-any.whl", hash = "sha256:d44e70637402c7f4b10f48491c02a6397a3a187152a70cba0b6bc7642d69fb05"}, + {file = "virtualenv-21.0.0.tar.gz", hash = "sha256:e8efe4271b4a5efe7a4dce9d60a05fd11859406c0d6aa8464f4cf451bc132889"}, ] [package.dependencies] distlib = ">=0.3.7,<1" filelock = {version = ">=3.24.2,<4", markers = "python_version >= \"3.10\""} platformdirs = ">=3.9.1,<5" +python-discovery = ">=1" typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\""} [[package]] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index 9439f22b23af..ceb66765d1f0 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -491,14 +491,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] @@ -523,20 +523,20 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)", "tcolorpy (>=0.1.2)"] [[package]] name = "datasets" -version = "4.5.0" +version = "4.6.0" description = "HuggingFace community-driven open-source library of datasets" optional = false -python-versions = ">=3.9.0" +python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "datasets-4.5.0-py3-none-any.whl", hash = "sha256:b5d7e08096ffa407dd69e58b1c0271c9b2506140839b8d99af07375ad31b6726"}, - {file = "datasets-4.5.0.tar.gz", hash = "sha256:00c698ce1c2452e646cc5fad47fef39d3fe78dd650a8a6eb205bb45eb63cd500"}, + {file = "datasets-4.6.0-py3-none-any.whl", hash = "sha256:7f21d9dfca00e702fd42af878c6839f17c82de291dc0827ae3bfed718b168caf"}, + {file = "datasets-4.6.0.tar.gz", hash = "sha256:e1a5c2504b7d1311099b3fce453791d1400159a03c18f708e26cbf596b445e5a"}, ] [package.dependencies] dill = ">=0.3.0,<0.4.1" filelock = "*" -fsspec = {version = ">=2023.1.0,<=2025.10.0", extras = ["http"]} +fsspec = {version = ">=2023.1.0,<=2026.2.0", extras = ["http"]} httpx = "<1.0.0" huggingface-hub = ">=0.25.0,<2.0" multiprocess = "<0.70.19" @@ -790,14 +790,14 @@ files = [ [[package]] name = "fsspec" -version = "2025.10.0" +version = "2026.2.0" description = "File-system specification" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d"}, - {file = "fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59"}, + {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"}, + {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"}, ] [package.dependencies] @@ -811,9 +811,9 @@ dask = ["dask", "distributed"] dev = ["pre-commit", "ruff (>=0.5)"] doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] dropbox = ["dropbox", "dropboxdrivefs", "requests"] -full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"] fuse = ["fusepy"] -gcs = ["gcsfs"] +gcs = ["gcsfs (>2024.2.0)"] git = ["pygit2"] github = ["requests"] gs = ["gcsfs"] @@ -822,13 +822,13 @@ hdfs = ["pyarrow (>=1)"] http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] libarchive = ["libarchive-c"] oci = ["ocifs"] -s3 = ["s3fs"] +s3 = ["s3fs (>2024.2.0)"] sftp = ["paramiko"] smb = ["smbprotocol"] ssh = ["paramiko"] test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"] test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"] -test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] +test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""] tqdm = ["tqdm"] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 0196ceddd9c6..4e3f656be3ce 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "c9a6df9e00ec7cdf4ffba42a10cb988fb86bbde7", - "timestamp": "2026-02-25T04:51:45Z" + "commit_hash": "172ab2af1568d57207030519842074c62d6e768b", + "timestamp": "2026-02-26T03:17:03Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 135099127256..8181475e2e42 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1027,13 +1027,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 7f70da6b3c1e..68ec67a38980 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -588,13 +588,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.3.5" +version = "1.4.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.3.5-py3-none-any.whl", hash = "sha256:6c88220f8637cb35d2a75c620d72efebf683b248b923713d8fbe235844c1a4b9"}, + {file = "cuda_pathfinder-1.4.0-py3-none-any.whl", hash = "sha256:437079ca59e7b61ae439ecc501d69ed87b3accc34d58153ef1e54815e2c2e118"}, ] [[package]] From 00de565e431f9e9e29c358c02706791e3ffeea0c Mon Sep 17 00:00:00 2001 From: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com> Date: Thu, 26 Feb 2026 12:57:11 +0800 Subject: [PATCH 162/241] [https://nvbugs/5809169][unwaive] Unwaive TestGPTOSS test (#11416) Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 869420f22f6b..e2819e5e5b8c 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -329,7 +329,6 @@ accuracy/test_llm_api_pytorch.py::TestGemma3_1BInstruct::test_auto_dtype SKIP (h accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[one_model] SKIP (https://nvbugs/5596343) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[two_model] SKIP (https://nvbugs/5596343) accuracy/test_disaggregated_serving.py::TestGemma3_1BInstruct::test_auto_dtype[True] SKIP (https://nvbugs/5799901) -accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[cutlass-one_model-no_overlap_scheduler] SKIP (https://nvbugs/5809169) test_e2e.py::test_ptp_quickstart_advanced[Qwen3-30B-A3B-Qwen3/Qwen3-30B-A3B] SKIP (https://nvbugs/5810935) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.5] SKIP (https://nvbugs/5810940) accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B_Instruct_2507::test_skip_softmax_attention_2gpus[target_sparsity_0.9] SKIP (https://nvbugs/5810940) From dd896170ae7b6a666255e617d7931883b6f19e95 Mon Sep 17 00:00:00 2001 From: Yukun He <23156053+hyukn@users.noreply.github.com> Date: Thu, 26 Feb 2026 13:18:26 +0800 Subject: [PATCH 163/241] [https://nvbugs/5859881][fix] Unwaive test (#11716) Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index e2819e5e5b8c..a6c6f9b42762 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -346,6 +346,5 @@ perf/test_perf_sanity.py::test_e2e[aggr_upload-deepseek_r1_fp4_v2_grace_blackwel unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_gptoss_style_nvfp4[limitinf-beta0-alpha0.1-RoutingGPTOSS-512-512-1] SKIP (https://nvbugs/5819042) accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=1-ctx_pp=4] SKIP (https://nvbugs/5845943) accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) -unittest/_torch/thop/serial/test_moe.py::TestMoeFp4::test_online_eplb288_topk_input[RoutingDSv3-1024-1024-256] SKIP (https://nvbugs/5859881) unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5920779) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-cutlass-auto] SKIP (https://nvbugs/5920771) From 6c5f1da971cdd8f77ae53b61cd5561c84944cc4c Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 26 Feb 2026 05:41:24 +0000 Subject: [PATCH 164/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 4e3f656be3ce..e7d9e98e4fdb 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "172ab2af1568d57207030519842074c62d6e768b", - "timestamp": "2026-02-26T03:17:03Z" + "commit_hash": "ea5d0b5a0c49f5bb93a3cadd987bdd9029a22bb5", + "timestamp": "2026-02-26T04:16:54Z" } From aa5e1d9fe8d1f83f7f61452d53d5d72bdf3b3d71 Mon Sep 17 00:00:00 2001 From: Anthony Chang <27950904+rosenrodt@users.noreply.github.com> Date: Thu, 26 Feb 2026 16:00:11 +0800 Subject: [PATCH 165/241] [https://nvbugs/5799917][fix] Recover from CUTLASS MoE doActivation perf regression for MXFP4/NVFP4 dtype (#11733) Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com> --- .../cutlass_kernels/moe_gemm/moe_kernels.cu | 185 ++++++++++-------- 1 file changed, 100 insertions(+), 85 deletions(-) diff --git a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu index 2447273752f0..e7f3597e58bd 100644 --- a/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu +++ b/cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu @@ -2060,11 +2060,12 @@ void doGatedActivation(ActivationOutputType* output, GemmOutputType const* gemm_ template -__global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, float const* fp8_quant, - ScaleBiasType const* bias_ptr, bool bias_is_broadcast, int64_t const* expert_first_token_offset, - int num_experts_per_node, int64_t inter_size, float const* fc2_act_global_scale, bool use_per_expert_act_scale, +__global__ __launch_bounds__(ACTIVATION_THREADS_PER_BLOCK) void doActivationKernel(T* output, + GemmOutputType const* gemm_result, float const* fp8_quant, ScaleBiasType const* bias_ptr, bool bias_is_broadcast, + int64_t const* expert_first_token_offset, int num_experts_per_node, int64_t inter_size, + float const* fc2_act_global_scale, bool use_per_expert_act_scale, TmaWarpSpecializedGroupedGemmInput::ElementSF* fc2_act_sf_flat, ActivationParams activation_params, - GemmOutputType const* prequant_scale, int64_t const num_valid_tokens) + GemmOutputType const* prequant_scale) { #ifdef ENABLE_FP4 constexpr bool IsNVFP4 = std::is_same_v @@ -2076,6 +2077,8 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, constexpr bool IsMXFP8 = cute::dependent_false; #endif + // Prequant scale is for non-blockscaling low-precision kernels. Such as WINT4_A16. + constexpr bool MaybePrequantScale = !IsNVFP4 && !IsMXFP8 && !std::is_same_v; constexpr bool IsGated = ActFn::IS_GLU; size_t gated_size_mul = IsGated ? 2 : 1; size_t gated_off = IsGated ? inter_size : 0; @@ -2093,8 +2096,14 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, : TmaWarpSpecializedGroupedGemmInput::MinKDimAlignmentMXFPX; int64_t const padded_inter_size = ceilDiv(inter_size, min_k_dim_alignment) * min_k_dim_alignment; - // 2D grid: blockIdx.x for tokens in groups of kProcessRows, blockIdx.y for columns - int64_t const row_offset = blockIdx.x * kProcessRows; + int64_t const num_valid_tokens = expert_first_token_offset[num_experts_per_node]; + + // 2D grid: blockIdx.x for tokens, blockIdx.y for columns + // 2D block: blockDim.x threads each handle kProcessRows tokens, blockDim.y threads handle columns + // Each CTA processes kProcessRows * blockDim.x tokens total + // Grid stride loop variables + int64_t const rows_per_cta = kProcessRows * blockDim.x; + int64_t const grid_stride = static_cast(gridDim.x) * rows_per_cta; int64_t const col_offset = blockIdx.y * blockDim.y + threadIdx.y; assert(inter_size % ACTIVATION_ELEM_PER_THREAD == 0); @@ -2112,15 +2121,22 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, [[maybe_unused]] bool const do_k_padding = (IsNVFP4 || IsMXFP8) && col_offset >= k_padding_start && col_offset < k_padding_end; - auto main_loop = [&](auto has_prequant_scale, auto has_bias) - { - #if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900)) - cudaGridDependencySynchronize(); + cudaGridDependencySynchronize(); #endif - constexpr bool has_prequant_scale_v = decltype(has_prequant_scale)::value; - constexpr bool has_bias_v = decltype(has_bias)::value; + // Grid stride loop for activation processing + for (int64_t row_offset = blockIdx.x * rows_per_cta; row_offset < num_valid_tokens; row_offset += grid_stride) + { + bool const per_expert_aux_input = bias_ptr || IsNVFP4 || IsMXFP8 || use_per_expert_act_scale + || activation_params.swiglu_alpha || activation_params.swiglu_beta || activation_params.swiglu_limit; + int32_t expert = 0; + if (per_expert_aux_input) + { + // Binary search once for the first token in this CTA chunk + // subsequent tokens use linear scan since tokens are sorted by expert + expert = findTotalEltsLessThanTarget(expert_first_token_offset, num_experts_per_node, row_offset + 1) - 1; + } // Process kProcessRows consecutive tokens, promoting per-expert data reuse #pragma unroll for (int i = 0; i < kProcessRows; ++i) @@ -2134,22 +2150,21 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, size_t gemm_result_offset = token * inter_size * gated_size_mul; size_t output_offset = token * inter_size; - int64_t expert = 0; float gate_alpha = 1.0f; float gate_beta = 0.0f; float gate_limit = std::numeric_limits::infinity(); - if (bias_ptr || IsNVFP4 || IsMXFP8 || use_per_expert_act_scale || activation_params.swiglu_alpha - || activation_params.swiglu_beta || activation_params.swiglu_limit) + if (per_expert_aux_input) { - // TODO this is almost certainly faster as a linear scan - expert = findTotalEltsLessThanTarget(expert_first_token_offset, num_experts_per_node, token + 1) - 1; - + // Use linear scan for subsequent tokens + while (i > 0 && expert + 1 < num_experts_per_node && expert_first_token_offset[expert + 1] <= token) + { + ++expert; + } gate_alpha = activation_params.swiglu_alpha ? activation_params.swiglu_alpha[expert] : 1.0f; gate_beta = activation_params.swiglu_beta ? activation_params.swiglu_beta[expert] : 0.0f; gate_limit = activation_params.swiglu_limit ? activation_params.swiglu_limit[expert] : std::numeric_limits::infinity(); } - size_t act_scale_idx = use_per_expert_act_scale ? expert : 0; float const quant_scale = fp8_quant ? fp8_quant[act_scale_idx] : 1.f; @@ -2187,7 +2202,7 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, // Use loadVec to force LDG.128 vectorized loads auto fc1_value = arrayConvert(loadVec(&gemm_result_vec[elem_index + gated_off_vec])); - if constexpr (has_bias_v) + if (bias_ptr) { fc1_value = fc1_value + arrayConvert(loadVec(&bias_ptr_vec[elem_index + gated_off_vec])); @@ -2199,7 +2214,7 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, { auto linear_value = arrayConvert(loadVec(&gemm_result_vec[elem_index])); - if constexpr (has_bias_v) + if (bias_ptr) { linear_value = linear_value + arrayConvert(loadVec(&bias_ptr_vec[elem_index])); @@ -2215,7 +2230,7 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, auto post_act_val = gate_act * quant_scale; // Apply prequant scale (shape [experts_per_rank, intermediate_size]) if provided - if constexpr (has_prequant_scale_v) + if (MaybePrequantScale && prequant_scale) { post_act_val = post_act_val * arrayConvert(loadVec(&prequant_scale_vec[elem_index])); @@ -2232,8 +2247,8 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, sizeof(res) == sizeof(*output_vec), "Quantized value must be the same size as the output"); output_vec[elem_index] = res; - // Pad zeros in the extra SFs along the K dimension, we do this to ensure there are no nan values in the - // padded SF atom. Only process padding for valid tokens in this block's row range. + // Pad zeros in the extra SFs along the K dimension, we do this to ensure there are no nan values in + // the padded SF atom. Only process padding for valid tokens in this block's row range. if (do_k_padding) { writeSF(num_tokens_before_expert, expert, /*source_row*/ -1, token, col_offset, @@ -2246,49 +2261,61 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, // Use storeVec to force STG.128 vectorized store storeVec(&output_vec[elem_index], arrayConvert(post_act_val)); } - } + } // end of inner unrolled loop + } // end of grid stride loop for activation #if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 900)) - cudaTriggerProgrammaticLaunchCompletion(); + cudaTriggerProgrammaticLaunchCompletion(); #endif - // Pad zeros in the extra SFs along the N dimension, we do this to ensure there are no nan values in the padded - // SF atom. This is handled by dedicated blocks beyond num_valid_tokens range. - if constexpr (IsNVFP4 || IsMXFP8) - { - constexpr int64_t min_num_tokens_alignment = IsNVFP4 - ? TmaWarpSpecializedGroupedGemmInput::MinNDimAlignmentNVFP4 - : TmaWarpSpecializedGroupedGemmInput::MinNDimAlignmentMXFPX; - static_assert((min_num_tokens_alignment & (min_num_tokens_alignment - 1)) == 0, - "Min num tokens alignment must be a power of two"); + // Pad zeros in the extra SFs along the N dimension, we do this to ensure there are no nan values in the padded + // SF atom. + if constexpr (IsNVFP4 || IsMXFP8) + { + constexpr int64_t min_num_tokens_alignment = IsNVFP4 + ? TmaWarpSpecializedGroupedGemmInput::MinNDimAlignmentNVFP4 + : TmaWarpSpecializedGroupedGemmInput::MinNDimAlignmentMXFPX; + int64_t const num_padding_tokens = (IsNVFP4 || IsMXFP8) ? min_num_tokens_alignment * num_experts_per_node : 0; - int64_t const padded_num_elems_in_col = padded_inter_size / VecSize; - int64_t const sf_col_offset = blockIdx.y * blockDim.x + threadIdx.x; + static_assert((min_num_tokens_alignment & (min_num_tokens_alignment - 1)) == 0, + "Min num tokens alignment must be a power of two"); - if (sf_col_offset >= padded_num_elems_in_col) - return; + int64_t const padded_num_elems_in_col = padded_inter_size / VecSize; - // Only blocks that handle padding tokens participate - int64_t const num_token_blocks = (num_valid_tokens + kProcessRows - 1) / kProcessRows; - if (blockIdx.x < num_token_blocks) - return; + // Early exit if this thread is out of bounds for SF columns + if (col_offset >= padded_num_elems_in_col) + return; - // This block handles N-dimension padding - int64_t const padding_block_idx = blockIdx.x - num_token_blocks; + // Grid stride loop for N-dimension SF padding + for (int64_t row_offset = blockIdx.x * rows_per_cta; row_offset < num_padding_tokens; row_offset += grid_stride) + { + int64_t num_tokens_before_expert[kProcessRows]; + int64_t num_tokens_after_expert[kProcessRows]; #pragma unroll for (int i = 0; i < kProcessRows; ++i) { - int64_t const padding_token = padding_block_idx * kProcessRows + i; - int64_t const num_padding_tokens = min_num_tokens_alignment * num_experts_per_node; + int64_t padding_token = row_offset + i; + padding_token = std::min(padding_token, num_padding_tokens); + int64_t expert = padding_token / min_num_tokens_alignment; + num_tokens_before_expert[i] = expert_first_token_offset[expert]; + num_tokens_after_expert[i] = expert_first_token_offset[expert + 1]; + } +#pragma unroll + for (int i = 0; i < kProcessRows; ++i) + { + int64_t const padding_token = row_offset + i; if (padding_token >= num_padding_tokens) - return; + break; int64_t expert = padding_token / min_num_tokens_alignment; - int64_t num_tokens_before_expert = expert_first_token_offset[expert]; - int64_t num_tokens_after_expert = expert_first_token_offset[expert + 1]; - int64_t tokens_to_expert = num_tokens_after_expert - num_tokens_before_expert; + int64_t tokens_to_expert = num_tokens_after_expert[i] - num_tokens_before_expert[i]; + + // Skip inactive experts: 0 tokens means 0 padding needed + if (tokens_to_expert == 0) + continue; + int64_t padding_to_expert = TmaWarpSpecializedGroupedGemmInput::alignToSfDim(tokens_to_expert, min_num_tokens_alignment) - tokens_to_expert; @@ -2298,31 +2325,12 @@ __global__ void doActivationKernel(T* output, GemmOutputType const* gemm_result, // The SF buffer is padded to a multiple of MinNDimAlignment for each expert // This means we can safely write to offset num_tokens_after_expert + padded_token, since the // next expert will leave space for the padding - writeSF(num_tokens_before_expert, expert, /*source_row*/ -1, - num_tokens_after_expert + expert_pad_idx, sf_col_offset, padded_inter_size, fc2_act_sf_flat, + writeSF(num_tokens_before_expert[i], expert, /*source_row*/ -1, + num_tokens_after_expert[i] + expert_pad_idx, col_offset, padded_inter_size, fc2_act_sf_flat, /* input_sf */ nullptr); // Pass nullptr input_sf so we write 0 } } - } - }; // end of lambda main_loop - - // Instantiate four code paths for the different combinations of prequant_scale and bias_ptr - // This ensures relevant codes will be executed in tight loop - if (prequant_scale && bias_ptr) - { - main_loop(/* has_prequant_scale */ std::true_type{}, /* has_bias */ std::true_type{}); - } - else if (!prequant_scale && !bias_ptr) - { - main_loop(/* has_prequant_scale */ std::false_type{}, /* has_bias */ std::false_type{}); - } - else if (!prequant_scale && bias_ptr) - { - main_loop(/* has_prequant_scale */ std::false_type{}, /* has_bias */ std::true_type{}); - } - else // prequant_scale && !bias_ptr - { - main_loop(/* has_prequant_scale */ std::true_type{}, /* has_bias */ std::false_type{}); + } // end of grid stride loop for SF padding } } @@ -2361,7 +2369,7 @@ void doActivation(T* output, GemmOutputType const* gemm_result, float const* fp8 = [&](auto block_scaling_type) -> void (*)(T*, GemmOutputType const*, float const*, ScaleBiasType const*, bool, int64_t const*, int, int64_t, float const*, bool, TmaWarpSpecializedGroupedGemmInput::ElementSF*, - ActivationParams, GemmOutputType const*, int64_t) + ActivationParams, GemmOutputType const*) { switch (activation_type.activation_type) { @@ -2399,12 +2407,15 @@ void doActivation(T* output, GemmOutputType const* gemm_result, float const* fp8 default: TLLM_CHECK_WITH_INFO(false, "Invalid activation type"); return nullptr; } }; - auto NVFP4 = tensorrt_llm::common::ConstExprWrapper{}; - auto MXFPX = tensorrt_llm::common::ConstExprWrapper{}; - auto NONE = tensorrt_llm::common::ConstExprWrapper{}; + [[maybe_unused]] auto NVFP4 + = tensorrt_llm::common::ConstExprWrapper{}; + [[maybe_unused]] auto MXFPX + = tensorrt_llm::common::ConstExprWrapper{}; + [[maybe_unused]] auto NONE + = tensorrt_llm::common::ConstExprWrapper{}; #ifdef ENABLE_FP4 if constexpr (std::is_same_v) { @@ -2427,12 +2438,16 @@ void doActivation(T* output, GemmOutputType const* gemm_result, float const* fp8 } }(); + static int32_t const sm_count = tensorrt_llm::common::getMultiProcessorCount(); + int32_t const max_blocks_per_sm + = tensorrt_llm::common::getMaxActiveBlocksPerSM(fn, ACTIVATION_THREADS_PER_BLOCK, 0); // X dimension for tokens in groups of num_rows_per_cta_v // Y dimension for columns - int64_t const num_token_blocks = (expanded_num_tokens + num_rows_per_cta_v - 1) / num_rows_per_cta_v; - int64_t const num_padding_blocks = (num_padding_tokens + num_rows_per_cta_v - 1) / num_rows_per_cta_v; - // Add extra blocks in X dimension for token-wise padding in FP4/MXFP8 modes - int32_t const grid_x = static_cast(num_token_blocks + num_padding_blocks); + // Each CTA processes num_rows_per_cta_v * threads_x tokens + int64_t const max_tokens = std::max(expanded_num_tokens, num_padding_tokens); + // Divide by rows_per_cta to get the number of token blocks needed + int64_t const max_token_blocks = (max_tokens + num_rows_per_cta_v - 1) / num_rows_per_cta_v; + int32_t const grid_x = std::min(sm_count * max_blocks_per_sm, static_cast(max_token_blocks)); int32_t const grid_y = static_cast( (num_elems_in_col + ACTIVATION_THREADS_PER_BLOCK - 1) / ACTIVATION_THREADS_PER_BLOCK); int32_t const threads = ACTIVATION_THREADS_PER_BLOCK; @@ -2449,7 +2464,7 @@ void doActivation(T* output, GemmOutputType const* gemm_result, float const* fp8 config.attrs = attrs; cudaLaunchKernelEx(&config, fn, output, gemm_result, fp8_quant, bias, bias_is_broadcast, expert_first_token_offset, num_experts_per_node, inter_size, quant_params.fp4.fc2.act_global_scale, - use_per_expert_act_scale, fc2_act_sf_flat, activation_type, prequant_scale, expanded_num_tokens); + use_per_expert_act_scale, fc2_act_sf_flat, activation_type, prequant_scale); }; // end lambda doActivationKernelLauncher // 256 threads per block * 256 blocks / 1 rows per block can be handled by 1-2 waves depending on SM arch From 11dba1b101acf25d26fc48387c9fc418799f34c6 Mon Sep 17 00:00:00 2001 From: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> Date: Thu, 26 Feb 2026 16:51:46 +0800 Subject: [PATCH 166/241] [None][feat] add sanity tests for release1.2 version (#11738) Signed-off-by: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> --- .../perf/disagg/testlist/release_sanity.txt | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 tests/integration/defs/perf/disagg/testlist/release_sanity.txt diff --git a/tests/integration/defs/perf/disagg/testlist/release_sanity.txt b/tests/integration/defs/perf/disagg/testlist/release_sanity.txt new file mode 100644 index 000000000000..51a9fe242f18 --- /dev/null +++ b/tests/integration/defs/perf/disagg/testlist/release_sanity.txt @@ -0,0 +1,33 @@ +# ============================================================ +# Release Sanity Test List +# Coverage: disagg + wideep, GB200 + GB300, key models, +# NIXL/UCX, 1k1k/8k1k/128k8k, mtp0/mtp3, accuracy +# ============================================================ + +# ---- disagg: deepseek-r1-fp4 GB200 ------------------------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb0_mtp0_ccb-NIXL] +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb0_mtp3_ccb-NIXL] +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_1k1k_ctx1_gen4_tep8_bs32_eplb0_mtp3_ccb-UCX] +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default] + +# ---- disagg: deepseek-r1-fp4 GB300 ------------------------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_1k1k_ctx1_gen4_tep8_bs32_eplb0_mtp0_ccb-NIXL] +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_1k1k_ctx1_gen4_tep8_bs32_eplb0_mtp0_ccb-UCX] +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default] + +# ---- disagg: Qwen3-235B-A22B-FP4 ---------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[disagg_perf_Qwen3-235B-A22B-FP4_1k1k_ctx1_gen4_tep8_bs32_eplb0_mtp0_ccb-NIXL] + +# ---- wideep: deepseek-r1-fp4 -------------------------------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[wideep_perf_deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL] +test_disagg.py::TestDisaggBenchmark::test_benchmark[wideep_perf_deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL] + +# ---- wideep: deepseek-v32-fp4 -------------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[wideep_perf_deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL] + +# ---- wideep: kimi-k2-thinking-fp4 ---------- +test_disagg.py::TestDisaggBenchmark::test_benchmark[wideep_perf_kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL] + +# ---- accuracy ----------------------------------------------- +test_disagg.py::TestDisaggBenchmark::test_accuracy[wideep_accuracy_deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL] +test_disagg.py::TestDisaggBenchmark::test_accuracy[wideep_accuracy_kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL] From 6225e34071b804bfdb7286c52838dad48b8e5b71 Mon Sep 17 00:00:00 2001 From: Frank <3429989+FrankD412@users.noreply.github.com> Date: Thu, 26 Feb 2026 09:51:20 -0800 Subject: [PATCH 167/241] [https://nvbugs/5889841][fix] Add custom option class to allow subcommand help to work. (#11722) Signed-off-by: Frank Di Natale <3429989+FrankD412@users.noreply.github.com> --- tensorrt_llm/commands/bench.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/tensorrt_llm/commands/bench.py b/tensorrt_llm/commands/bench.py index ab4755082f6d..02f89e45fca8 100644 --- a/tensorrt_llm/commands/bench.py +++ b/tensorrt_llm/commands/bench.py @@ -11,12 +11,23 @@ from tensorrt_llm.logger import logger, severity_map +class NotRequiredForHelp(click.Option): + """A click.Option that is not enforced as required when --help is in args.""" + + def handle_parse_result(self, ctx, opts, args): + help_flags = ctx.help_option_names or ['--help'] + if any(arg in help_flags for arg in args): + self.required = False + return super().handle_parse_result(ctx, opts, args) + + @click.group(name="trtllm-bench", context_settings={'show_default': True}) @click.option( "--model", "-m", required=True, type=str, + cls=NotRequiredForHelp, help="The Huggingface name of the model to benchmark.", ) @click.option( @@ -54,6 +65,9 @@ def main( revision: Optional[str], ) -> None: logger.set_level(log_level) + if model is None: + return + ctx.obj = BenchmarkEnvironment(model=model, checkpoint_path=model_path, workspace=workspace, From 95e3682d3854f1c69e67738cac54ec4d7cc325c9 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 27 Feb 2026 04:33:16 +0000 Subject: [PATCH 168/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 11 +- .../examples/draft_target_model/poetry.lock | 26 +-- security_scanning/examples/eagle/poetry.lock | 26 +-- .../llm-eval/lm-eval-harness/poetry.lock | 11 +- .../examples/lookahead/poetry.lock | 26 +-- security_scanning/examples/medusa/poetry.lock | 26 +-- .../models/contrib/baichuan/poetry.lock | 11 +- .../examples/models/contrib/bloom/poetry.lock | 26 +-- .../models/contrib/chatglm-6b/poetry.lock | 50 ++---- .../models/contrib/chatglm-6b/pyproject.toml | 2 +- .../models/contrib/chatglm2-6b/poetry.lock | 50 ++---- .../models/contrib/chatglm2-6b/pyproject.toml | 2 +- .../contrib/chatglm3-6b-32k/poetry.lock | 50 ++---- .../contrib/chatglm3-6b-32k/pyproject.toml | 2 +- .../examples/models/contrib/dbrx/poetry.lock | 26 +-- .../models/contrib/deepseek_v1/poetry.lock | 26 +-- .../models/contrib/deepseek_v2/poetry.lock | 26 +-- .../models/contrib/falcon/poetry.lock | 11 +- .../examples/models/contrib/gptj/poetry.lock | 26 +-- .../models/contrib/gptneox/poetry.lock | 26 +-- .../examples/models/contrib/grok/poetry.lock | 48 ++---- .../models/contrib/hyperclovax/poetry.lock | 26 +-- .../models/contrib/internlm/poetry.lock | 26 +-- .../examples/models/contrib/jais/poetry.lock | 26 +-- .../examples/models/contrib/mmdit/poetry.lock | 11 +- .../examples/models/contrib/mpt/poetry.lock | 26 +-- .../examples/models/contrib/opt/poetry.lock | 26 +-- .../models/contrib/skywork/poetry.lock | 26 +-- .../examples/models/contrib/smaug/poetry.lock | 26 +-- .../examples/models/contrib/stdit/poetry.lock | 35 ++--- .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 26 +-- .../examples/models/core/gemma/poetry.lock | 48 ++---- .../examples/models/core/glm-4-9b/poetry.lock | 50 ++---- .../models/core/glm-4-9b/pyproject.toml | 2 +- .../examples/models/core/gpt/poetry.lock | 26 +-- .../examples/models/core/llama/poetry.lock | 11 +- .../examples/models/core/mamba/poetry.lock | 11 +- .../examples/models/core/nemotron/poetry.lock | 26 +-- .../examples/models/core/phi/poetry.lock | 26 +-- .../examples/models/core/qwen/poetry.lock | 49 +++--- .../models/core/qwen2audio/poetry.lock | 11 +- .../examples/models/core/qwenvl/poetry.lock | 11 +- .../models/core/recurrentgemma/poetry.lock | 33 ++-- .../examples/models/core/whisper/poetry.lock | 11 +- security_scanning/examples/ngram/poetry.lock | 26 +-- .../examples/quantization/poetry.lock | 11 +- .../examples/ray_orchestrator/poetry.lock | 132 ++++++++-------- .../examples/redrafter/poetry.lock | 26 +-- security_scanning/examples/serve/poetry.lock | 11 +- .../examples/trtllm-eval/poetry.lock | 11 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 148 +++++++++--------- 53 files changed, 475 insertions(+), 973 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 0c136168993a..687c92e36412 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1076,26 +1076,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 8fdd8b3ce406..20474c42f697 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index cf4e456cfe1b..b7995dd57fcb 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2031,21 +2030,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 483efb04dbc9..41acabf7c45d 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -931,26 +931,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 8fdd8b3ce406..20474c42f697 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. 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Easy to code. 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Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index e61da4f76bba..bbdb1bf52593 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2031,21 +2030,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. 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Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index d945deed129e..412fb6becf89 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -375,26 +375,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -1447,21 +1446,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 8fdd8b3ce406..20474c42f697 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index a0eb8af53453..3e81345f0d0e 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index f9c1281d0572..fe93d1dab864 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -403,26 +403,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index 3bcf9578a426..afe69312950c 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2031,21 +2030,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index 3bcf9578a426..afe69312950c 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2031,21 +2030,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index a0eb8af53453..3e81345f0d0e 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index a0eb8af53453..3e81345f0d0e 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2110,21 +2109,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. 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Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 539ef799a359..5d34df32ceb9 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -812,26 +812,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - 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Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 6941595975c8..a0aed3e39294 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -824,26 +824,25 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.4.1" +version = "1.5.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.4.1-py3-none-any.whl", hash = "sha256:9931d075fb7a79af5abc487106414ec5fba2c0ae86104c0c62fd6cae38873d18"}, - {file = "huggingface_hub-1.4.1.tar.gz", hash = "sha256:b41131ec35e631e7383ab26d6146b8d8972abc8b6309b963b306fbcca87f5ed5"}, + {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"}, + {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"}, ] [package.dependencies] -filelock = "*" +filelock = ">=3.10.0" fsspec = ">=2023.5.0" hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""} httpx = ">=0.23.0,<1" packaging = ">=20.9" pyyaml = ">=5.1" -shellingham = "*" tqdm = ">=4.42.1" -typer-slim = "*" +typer = "*" typing-extensions = ">=4.1.0" [package.extras] @@ -2096,21 +2095,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. 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@@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5920779) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-cutlass-auto] SKIP (https://nvbugs/5920771) +full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm] SKIP (https://nvbugs/5936273) +full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm_eagle] SKIP (https://nvbugs/5936273) +full:GB200/accuracy/test_llm_api_pytorch_multimodal.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm] SKIP (https://nvbugs/5936273) +full:DGX_H100/unittest/_torch/auto_deploy/unit/multigpu/transformations/library/test_bmm_sharding.py::test_sharding[1-1] SKIP (https://nvbugs/5936322) 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Only single-node configurations and the models listed above have been validated in this release. +- **Disaggregated Serving:** A hang may occur in disaggregated serving with context pipeline parallelism and generation tensor parallelism configurations. ## TensorRT-LLM Release 1.1 From 76f011e2bcb26a127b1ca26e9898b58ccad3a998 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 28 Feb 2026 04:29:52 +0000 Subject: [PATCH 171/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 288 ++++++------ .../examples/draft_target_model/poetry.lock | 282 ++++++------ security_scanning/examples/eagle/poetry.lock | 282 ++++++------ .../llm-eval/lm-eval-harness/poetry.lock | 288 ++++++------ .../examples/lookahead/poetry.lock | 282 ++++++------ security_scanning/examples/medusa/poetry.lock | 282 ++++++------ .../models/contrib/baichuan/poetry.lock | 282 ++++++------ .../examples/models/contrib/bloom/poetry.lock | 282 ++++++------ .../models/contrib/chatglm-6b/poetry.lock | 282 ++++++------ .../models/contrib/chatglm2-6b/poetry.lock | 282 ++++++------ .../contrib/chatglm3-6b-32k/poetry.lock | 282 ++++++------ .../examples/models/contrib/dbrx/poetry.lock | 282 ++++++------ .../models/contrib/deepseek_v1/poetry.lock | 282 ++++++------ .../models/contrib/deepseek_v2/poetry.lock | 282 ++++++------ .../models/contrib/falcon/poetry.lock | 282 ++++++------ .../examples/models/contrib/gptj/poetry.lock | 282 ++++++------ .../models/contrib/gptneox/poetry.lock | 282 ++++++------ .../examples/models/contrib/grok/poetry.lock | 282 ++++++------ .../models/contrib/hyperclovax/poetry.lock | 52 +-- .../models/contrib/internlm/poetry.lock | 282 ++++++------ .../examples/models/contrib/jais/poetry.lock | 282 ++++++------ .../examples/models/contrib/mmdit/poetry.lock | 282 ++++++------ .../examples/models/contrib/mpt/poetry.lock | 282 ++++++------ .../examples/models/contrib/opt/poetry.lock | 282 ++++++------ .../models/contrib/skywork/poetry.lock | 282 ++++++------ .../examples/models/contrib/smaug/poetry.lock | 282 ++++++------ .../examples/models/contrib/stdit/poetry.lock | 282 ++++++------ .../examples/models/core/commandr/poetry.lock | 282 ++++++------ .../examples/models/core/gemma/poetry.lock | 282 ++++++------ .../examples/models/core/glm-4-9b/poetry.lock | 282 ++++++------ .../examples/models/core/gpt/poetry.lock | 282 ++++++------ .../examples/models/core/llama/poetry.lock | 282 ++++++------ .../examples/models/core/mamba/poetry.lock | 282 ++++++------ .../examples/models/core/mixtral/poetry.lock | 282 ++++++------ .../examples/models/core/mllama/poetry.lock | 282 ++++++------ .../examples/models/core/nemotron/poetry.lock | 282 ++++++------ .../examples/models/core/phi/poetry.lock | 282 ++++++------ .../examples/models/core/qwen/poetry.lock | 290 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b/security_scanning/triton_backend/pyproject.toml index e1b672b963e6..662c63ac5326 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -7,7 +7,7 @@ authors = [ ] requires-python = ">=3.10,<3.13" dependencies = [ - "regex (>=2026.2.19,<2027.0.0)", + "regex (>=2026.2.28,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", "tritonclient[all] (>=2.65.0,<3.0.0)", "transformers (==4.57.1)", From c693d41ededfd601965820a04e25527dbe5ac4c8 Mon Sep 17 00:00:00 2001 From: Guiju Zhang <7135567+cascade812@users.noreply.github.com> Date: Sat, 28 Feb 2026 12:40:36 -0800 Subject: [PATCH 172/241] =?UTF-8?q?[https://nvbugs/5756028][fix]=20Fix=20V?= =?UTF-8?q?SWA=20initialization=20with=20spec-dec=20a=E2=80=A6=20(#11757)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: eopXD Signed-off-by: Guiju Zhang <7135567+cascade812@users.noreply.github.com> Co-authored-by: Yueh-Ting (eop) Chen --- tensorrt_llm/_torch/pyexecutor/_util.py | 2 +- .../_torch/pyexecutor/resource_manager.py | 144 ++++++++++++--- tensorrt_llm/_torch/speculative/eagle3.py | 11 +- tensorrt_llm/_torch/speculative/interface.py | 174 ++++++++++++++++++ tensorrt_llm/_torch/speculative/mtp.py | 20 +- .../_torch/executor/test_resource_manager.py | 44 ++++- 6 files changed, 338 insertions(+), 57 deletions(-) diff --git a/tensorrt_llm/_torch/pyexecutor/_util.py b/tensorrt_llm/_torch/pyexecutor/_util.py index dae057b61ea4..66016855ff68 100644 --- a/tensorrt_llm/_torch/pyexecutor/_util.py +++ b/tensorrt_llm/_torch/pyexecutor/_util.py @@ -686,7 +686,7 @@ def _create_kv_cache_manager( execution_stream=execution_stream, ) else: - # NOTE: this is a workaround for VSWA to switch to calculate_max_num_blocks_from_cpp in KVCahceManager + # NOTE: this is a workaround for VSWA to switch to calculate_max_num_blocks_for_vswa in KVCahceManager is_vswa = kv_cache_config.max_attention_window is not None and len( set(kv_cache_config.max_attention_window)) > 1 binding_model_config = model_engine.model.model_config.get_bindings_model_config( diff --git a/tensorrt_llm/_torch/pyexecutor/resource_manager.py b/tensorrt_llm/_torch/pyexecutor/resource_manager.py index fd7a6d717637..236da8889731 100644 --- a/tensorrt_llm/_torch/pyexecutor/resource_manager.py +++ b/tensorrt_llm/_torch/pyexecutor/resource_manager.py @@ -1,18 +1,21 @@ import copy import enum import math +import os from abc import ABC, abstractmethod from collections import OrderedDict, defaultdict, deque from typing import (TYPE_CHECKING, Dict, Iterable, List, Optional, Set, Tuple, Union) import torch +from mpi4py import MPI import tensorrt_llm import tensorrt_llm.bindings from tensorrt_llm._torch.distributed.communicator import Distributed, ReduceOp -from tensorrt_llm.llmapi.llm_args import (KvCacheConfig, PeftCacheConfig, - PybindMirror) +from tensorrt_llm._utils import (get_size_in_bytes, mpi_comm, mpi_disabled, + torch_comm) +from tensorrt_llm.llmapi.llm_args import KvCacheConfig, PeftCacheConfig from tensorrt_llm.lora_helper import LoraConfig from tensorrt_llm.lora_manager import LoraManager, LoraModelConfig from tensorrt_llm.runtime import ModelConfig as ModelConfigPython @@ -301,12 +304,44 @@ def append_to_kv_heads_per_layer(num_kv_heads_per_layer: List[int], ) assert isinstance( kv_cache_config, KvCacheConfig - ), "calculate_max_num_blocks_from_cpp only accepts KvCacheConfig" - blocks_per_window = self.calculate_max_num_blocks_from_cpp( + ), "calculate_max_num_blocks_for_vswa only accepts KvCacheConfig" + blocks_per_window = self.calculate_max_num_blocks_for_vswa( kv_cache_config=kv_cache_config, model_config=model_config, extra_cost_memory=0, ) + if mapping.world_size > 1: + # make sure all ranks use the same number of primary/secondary blocks + if mpi_disabled(): + for window_size, ( + primary_blocks, + secondary_blocks) in blocks_per_window.items(): + reduced_primary_blocks = torch_comm().allreduce( + primary_blocks, + op=torch.distributed.ReduceOp.MIN) + reduced_secondary_blocks = torch_comm().allreduce( + secondary_blocks, + op=torch.distributed.ReduceOp.MIN) + blocks_per_window[window_size] = ( + reduced_primary_blocks, + reduced_secondary_blocks) + else: + for window_size, ( + primary_blocks, + secondary_blocks) in blocks_per_window.items(): + reduced_primary_blocks = mpi_comm().allreduce( + primary_blocks, op=MPI.MIN) + reduced_secondary_blocks = mpi_comm().allreduce( + secondary_blocks, op=MPI.MIN) + blocks_per_window[window_size] = ( + reduced_primary_blocks, + reduced_secondary_blocks) + logger.info( + f"[MPI rank={mapping.rank}] Original blocks_per_window: {blocks_per_window}" + ) + logger.info( + f"[MPI rank={mapping.rank}] Reduced blocks_per_window: {blocks_per_window}" + ) else: # Standard case: use original Python implementation self.blocks_in_primary_pool, self.blocks_in_secondary_pool = self.calculate_max_num_blocks( @@ -985,8 +1020,8 @@ def _get_window_size_to_layers(self) -> dict[int, list[int]]: window_size_to_layers_map[window_size].append(local_layer_idx) return window_size_to_layers_map - @staticmethod def adjust_window_sizes_for_vswa( + self, window_size_to_layers: Dict[int, List[int]], max_attention_window_vec: List[int], kv_cache_config: KvCacheConfig, @@ -1003,8 +1038,7 @@ def adjust_window_sizes_for_vswa( def calculate_cache_size_per_token(layers: Set[int]) -> int: # Same as BaseKVCacheManager::calculateCacheSizePerTokenForSingleWindowSize - total_kv_heads = sum(model_config.num_kv_heads_per_layer[i] - for i in layers) + total_kv_heads = sum(self.num_kv_heads_per_layer[i] for i in layers) return total_kv_heads * kv_factor * model_config.head_size # Calculate the required memory bytes per sequence. @@ -1020,15 +1054,17 @@ def calculate_cache_size_per_token(layers: Set[int]) -> int: quant_vector_size=16, scaling_factor_dtype=DataType.FP8) required_mem_bytes_per_seq += window_size * cache_size_bytes_per_token - logger.debug( + logger.info( f'Required memory per sequence: {required_mem_bytes_per_seq} bytes') + logger.info(f"Memory bytes in pool: {pool_memory_bytes}") if required_mem_bytes_per_seq < pool_memory_bytes: # No need to adjust the window sizes. + logger.info("No need to adjust the window sizes, returning") return (copy.deepcopy(window_size_to_layers), max_attention_window_vec) - logger.debug( + logger.info( f'Adjusting the window sizes {list(window_size_to_layers)} to fit ' f'the memory {pool_memory_bytes} bytes.') adjusted_window_size_to_layers = {} @@ -1102,14 +1138,12 @@ def calculate_cache_size_per_token(layers: Set[int]) -> int: return (adjusted_window_size_to_layers, adjusted_max_attention_window_vec) - def calculate_max_num_blocks_from_cpp( + def calculate_max_num_blocks_for_vswa( self, kv_cache_config: KvCacheConfig, model_config: ModelConfigCpp, extra_cost_memory: int = 0) -> dict[int, tuple[int, int]]: """ - This function is a wrapper of KVCacheManagerCpp.calculate_max_num_blocks. - The final goal is to switch to the C++ implementation of calculate_max_num_blocks. Currently, this function is added to support *ONLY* VSWA. Args: @@ -1119,6 +1153,15 @@ def calculate_max_num_blocks_from_cpp( Returns: A dict of (max_attention_window, (blocks_in_primary_pool, blocks_in_secondary_pool)). + + Environment variable TRTLLM_WINDOW_SIZE_SHARES is used to adjust the memory + share of each window size. By default, we allocate equal proportion shares of + memory for all window sizes (see the else case). With TRTLLM_WINDOW_SIZE_SHARES, + we can override this behavior to adjust the memory share of each window size. + + For example, if we have window size of [512, 32768], then setting + TRTLLM_WINDOW_SIZE_SHARES=0.4,0.6 will be allocating 40% of the memory to + window size 512 and 60% of the memory to window size 32768. """ # VSWA on Torch backend has not supported the cross attention. @@ -1162,19 +1205,70 @@ def calculate_max_num_blocks_from_cpp( ) self.max_attention_window_vec = max_attention_window_vec - blocks_per_window = KVCacheManagerCpp.calculate_max_num_blocks( - config=PybindMirror.maybe_to_pybind(kv_cache_config), - # TODO: support cross attention - is_cross_attention=is_cross_attention, - dtype=self.dtype, - model_config=model_config, - world_config=world_config_cpp, - window_size_to_layers=window_size_to_layers, - allotted_primary_mem_bytes=self._primary_pool_memory_bytes, - allotted_secondary_mem_bytes=self._secondary_pool_memory_bytes, - extra_cost_memory=extra_cost_memory, - kv_factor=self.kv_factor, - ) + def calculate_cache_size_per_token(layers: Set[int]) -> int: + # Same as BaseKVCacheManager::calculateCacheSizePerTokenForSingleWindowSize + total_kv_heads = sum(self.num_kv_heads_per_layer[i] for i in layers) + return total_kv_heads * self.kv_factor * model_config.head_size + + logger.info( + f"Primary pool memory bytes: {self._primary_pool_memory_bytes}") + logger.info( + f"Secondary pool memory bytes: {self._secondary_pool_memory_bytes}") + + if os.getenv("TRTLLM_WINDOW_SIZE_SHARES") is not None: + logger.info("Environment variable TRTLLM_WINDOW_SIZE_SHARES is set") + window_size_shares = os.getenv("TRTLLM_WINDOW_SIZE_SHARES").split( + ",") + window_size_shares = [float(share) for share in window_size_shares] + assert len(window_size_shares) == len( + window_size_to_layers + ), "Number of shares in TRTLLM_WINDOW_SIZE_SHARES must match number of window sizes" + assert sum( + window_size_shares + ) == 1.0, "Sum of shares in TRTLLM_WINDOW_SIZE_SHARES must be 1.0" + else: + logger.info( + "Using default allocation of equal proportion of memory to each window size" + ) + window_size_shares = [ + 1.0 / len(window_size_to_layers) for _ in window_size_to_layers + ] + + logger.info(f"Derived window_size_shares: {window_size_shares}") + + blocks_per_window = {} + for window_idx, (window_size, layers) in enumerate( + sorted(window_size_to_layers.items())): + cache_size_per_token = calculate_cache_size_per_token(layers) + cache_size_bytes_per_token = get_size_in_bytes( + cache_size_per_token, self.dtype) + + primary_tokens = self._primary_pool_memory_bytes * window_size_shares[ + window_idx] / cache_size_bytes_per_token + secondary_tokens = self._secondary_pool_memory_bytes * window_size_shares[ + window_idx] / cache_size_bytes_per_token + + if kv_cache_config.max_tokens is not None: + if self.is_vswa: + logger.info( + f"kv_cache_config.max_tokens is not None ({kv_cache_config.max_tokens}) but we are operating on VSWA scheme. Ignoring the configuration." + ) + if not self.is_vswa: + logger.info( + f"kv_cache_config.max_tokens is {kv_cache_config.max_tokens}" + ) + if kv_cache_config.max_tokens < primary_tokens: + logger.info( + f"kv_cache_config.max_tokens {kv_cache_config.max_tokens} is less than primary_tokens {primary_tokens}. Reducing primary_tokens to {kv_cache_config.max_tokens}" + ) + primary_tokens = kv_cache_config.max_tokens + + primary_blocks = int(primary_tokens // self.tokens_per_block) + secondary_blocks = int(secondary_tokens // self.tokens_per_block) + logger.info( + f"Window size = {window_size}, primary_blocks: {primary_blocks}, secondary_blocks: {secondary_blocks}" + ) + blocks_per_window[window_size] = (primary_blocks, secondary_blocks) return blocks_per_window def _validate_and_adjust_attention_windows( diff --git a/tensorrt_llm/_torch/speculative/eagle3.py b/tensorrt_llm/_torch/speculative/eagle3.py index 6fa7fba8583e..a0caa87139bc 100644 --- a/tensorrt_llm/_torch/speculative/eagle3.py +++ b/tensorrt_llm/_torch/speculative/eagle3.py @@ -601,14 +601,9 @@ def prepare_1st_drafter_inputs( hidden_states = draft_model.apply_eagle3_fc(hidden_states) # context - input_ctx_ids = input_ids[:attn_metadata.num_ctx_tokens] - input_ids_ctx = torch.empty_like(input_ctx_ids, - dtype=torch.int32, - device="cuda") - input_ids_ctx[:-1].copy_(input_ctx_ids[1:]) - input_ids_ctx[ - spec_metadata. - gather_ids[:num_contexts]] = accepted_tokens[:num_contexts, 0] + input_ids_ctx = self._prepare_context_input_ids( + input_ids, attn_metadata.num_ctx_tokens, spec_metadata.gather_ids, + accepted_tokens, num_contexts) # generation input_ids_gen = accepted_tokens[num_contexts:, :].flatten() diff --git a/tensorrt_llm/_torch/speculative/interface.py b/tensorrt_llm/_torch/speculative/interface.py index fe59ca865f72..0831dd68cf57 100644 --- a/tensorrt_llm/_torch/speculative/interface.py +++ b/tensorrt_llm/_torch/speculative/interface.py @@ -415,6 +415,180 @@ def set_guided_decoder(self, self.guided_decoder = guided_decoder return True + def _prepare_attn_metadata_for_spec_dec(self, attn_metadata): + """ + Prepare attention metadata before speculative decoding draft token generation. + Saves current state for later restoration. + """ + attn_metadata.prepare_for_spec_dec("_seq_lens", "_seq_lens_cuda") + + def _restore_attn_metadata_from_spec_dec(self, attn_metadata): + """ + Restore attention metadata after speculative decoding draft token generation. + """ + attn_metadata.restore_from_spec_dec() + attn_metadata.on_update() + + def _apply_force_accepted_tokens(self, num_accepted_tokens, num_contexts): + """ + Apply forced number of accepted tokens if environment variable is set. + This is used for testing and debugging. + + Args: + num_accepted_tokens: Tensor of shape [batch_size] with current accepted counts + num_contexts: Number of context (prefill) requests + + Returns: + Modified num_accepted_tokens tensor + + Note: + For MTPWorker, self.max_draft_len equals num_nextn_predict_layers (mtp_num_modules). + For Eagle3OneModelWorker, self.max_draft_len equals spec_config.max_draft_len. + """ + if self.force_num_accepted_tokens != 0: + # total tokens per iteration = accepted draft tokens + 1 target token + force_total_tokens = min(self.force_num_accepted_tokens + 1, + self.max_draft_len + 1) + num_accepted_tokens[num_contexts:] = force_total_tokens + return num_accepted_tokens + + def _sample_and_accept_draft_tokens_base( + self, + logits: torch.Tensor, + draft_tokens: torch.Tensor, + num_contexts: int, + batch_size: int, + spec_metadata, + ): + """ + Base implementation for sampling and accepting draft tokens. + Uses strict acceptance (token equality with cumulative product). + + This is the common logic shared between Eagle3 and MTP (when relaxed + acceptance is disabled). + + Args: + logits: [num_tokens, vocab_size] - Target model logits + draft_tokens: [num_gens, max_draft_len] - Previously predicted draft tokens + num_contexts: Number of context requests + batch_size: Total number of requests + spec_metadata: Speculative decoding metadata + + Returns: + accepted_tokens: [batch_size, max_draft_len + 1] - Accepted tokens + num_accepted_tokens: [batch_size] - Number of accepted tokens per request + """ + num_gens = batch_size - num_contexts + + if logits.dim() == 1: + logits = logits.unsqueeze(0) + + # Allocate return buffers + accepted_tokens = torch.empty((batch_size, self.max_draft_len + 1), + dtype=torch.int, + device=logits.device) + num_accepted_tokens = torch.ones(batch_size, + dtype=torch.int, + device=logits.device) + + # Sample tokens using per-request sampling parameters + target_tokens = self._sample_tokens_for_batch(logits, spec_metadata, + num_contexts, batch_size) + + # Context requests: only accept the sampled token (no draft tokens yet) + accepted_tokens[:num_contexts, 0] = target_tokens[:num_contexts] + + # Generation requests: verify draft tokens against target tokens + gen_target_tokens = target_tokens[num_contexts:].reshape( + num_gens, self.max_draft_len + 1) + accepted_tokens[num_contexts:, :] = gen_target_tokens + + # Compare draft tokens with target tokens using cumulative product + # Counts consecutive matches from the start + num_accepted_tokens[num_contexts:] += torch.cumprod( + (draft_tokens == gen_target_tokens[:, :self.max_draft_len]).int(), + dim=-1).sum(1) + + # Apply force override if set + num_accepted_tokens = self._apply_force_accepted_tokens( + num_accepted_tokens, num_contexts) + + return accepted_tokens, num_accepted_tokens + + def _draft_sampler_greedy(self, logits: torch.Tensor, d2t=None): + """ + Simple greedy draft token sampling using argmax. + + Args: + logits: [num_tokens, vocab_size] - Draft model logits + d2t: Optional dictionary offset tensor for vocab mapping + + Returns: + draft_tokens: [num_tokens] - Sampled draft token ids (int32) + """ + draft_tokens = torch.argmax(logits, dim=-1) + + # Apply d2t (offsets between draft and target model dictionaries) + if d2t is not None: + draft_tokens = d2t[draft_tokens] + draft_tokens + + return draft_tokens.type(torch.int32) + + def _execute_guided_decoder_if_present(self, logits): + """Execute guided decoder on target model logits if available.""" + if self.guided_decoder is not None: + self.guided_decoder.execute(logits) + + def _prepare_next_new_tokens(self, accepted_tokens, next_draft_tokens, + batch_indices_cuda, batch_size, + num_accepted_tokens): + """ + Prepare next_new_tokens for overlap scheduler support. + + Args: + accepted_tokens: [batch_size, max_draft_len + 1] - Accepted tokens + next_draft_tokens: [batch_size, max_draft_len] - Predicted draft tokens + batch_indices_cuda: Batch indices tensor + batch_size: Number of requests + num_accepted_tokens: [batch_size] - Number of accepted tokens per request + + Returns: + next_new_tokens: [batch_size, max_draft_len + 1] - Input tokens for next iteration + """ + next_new_tokens = accepted_tokens[batch_indices_cuda[:batch_size], + num_accepted_tokens - 1].unsqueeze(1) + next_new_tokens = torch.concat([next_new_tokens, next_draft_tokens], + dim=1) + return next_new_tokens + + def _prepare_context_input_ids(self, input_ids, num_ctx_tokens, gather_ids, + accepted_tokens, num_contexts): + """ + Prepare context input IDs for draft model forward. + Shifts input IDs left by 1 and places the first accepted token at gather positions. + + Args: + input_ids: Original input IDs tensor + num_ctx_tokens: Number of context tokens + gather_ids: Indices for placing accepted tokens (last token positions) + accepted_tokens: [batch_size, max_draft_len + 1] - Accepted tokens + num_contexts: Number of context requests + + Returns: + input_ids_ctx: Prepared context input IDs + """ + if num_ctx_tokens > 0: + input_prompt_ids = input_ids[:num_ctx_tokens] + input_ids_ctx = torch.empty_like(input_prompt_ids, + dtype=torch.int32, + device="cuda") + input_ids_ctx[:-1].copy_(input_prompt_ids[1:]) + input_ids_ctx[ + gather_ids[:num_contexts]] = accepted_tokens[:num_contexts, 0] + return input_ids_ctx + else: + return torch.empty(0, dtype=torch.int32, device="cuda") + def _sample_tokens_for_batch( self, logits: torch.Tensor, diff --git a/tensorrt_llm/_torch/speculative/mtp.py b/tensorrt_llm/_torch/speculative/mtp.py index 1e67caf561ce..c9a09eedfb66 100644 --- a/tensorrt_llm/_torch/speculative/mtp.py +++ b/tensorrt_llm/_torch/speculative/mtp.py @@ -1015,13 +1015,9 @@ def prepare_drafter_inputs( # context if num_contexts > 0: hidden_states_ctx = hidden_states[:num_ctx_tokens, :] - input_prompt_ids = input_ids[:num_ctx_tokens] - input_ids_ctx = torch.empty_like(input_prompt_ids, - dtype=torch.int32, - device="cuda") - input_ids_ctx[:-1].copy_(input_prompt_ids[1:]) - input_ids_ctx[last_tokens_idx[:num_contexts]] = \ - accepted_tokens[:num_contexts, 0] + input_ids_ctx = self._prepare_context_input_ids( + input_ids, num_ctx_tokens, last_tokens_idx, accepted_tokens, + num_contexts) return_input_ids_list.append(input_ids_ctx) return_hidden_states_list.append(hidden_states_ctx) # generation @@ -1364,13 +1360,9 @@ def prepare_drafter_inputs( num_contexts = attn_metadata.num_contexts # context - input_prompt_ids = input_ids[:attn_metadata.num_ctx_tokens] - input_ids_ctx = torch.empty_like(input_prompt_ids, - dtype=torch.int32, - device="cuda") - input_ids_ctx[:-1].copy_(input_prompt_ids[1:]) - input_ids_ctx[ - last_tokens_idx[:num_contexts]] = accepted_tokens[:num_contexts, 0] + input_ids_ctx = self._prepare_context_input_ids( + input_ids, attn_metadata.num_ctx_tokens, last_tokens_idx, + accepted_tokens, num_contexts) # generation input_ids_gen = accepted_tokens[num_contexts:, :].flatten() diff --git a/tests/unittest/_torch/executor/test_resource_manager.py b/tests/unittest/_torch/executor/test_resource_manager.py index c31c08fa2256..273abca39e22 100644 --- a/tests/unittest/_torch/executor/test_resource_manager.py +++ b/tests/unittest/_torch/executor/test_resource_manager.py @@ -456,9 +456,11 @@ def test_adjust_window_sizes_for_vswa(self): model_config.num_hidden_layers = len(total_layers) model_config.num_attention_layers = len(total_layers) + model_config.layer_types = [LayerType.ATTENTION + ] * model_config.num_attention_layers kv_factor = 2 - cache_bytes_per_token_per_layer = 8 + cache_bytes_per_token_per_layer = 32 # Define test cases: # (memory_bytes, expected_window_sizes, max_tokens, description) @@ -466,7 +468,7 @@ def test_adjust_window_sizes_for_vswa(self): test_cases = [ ( # Case 1: Limited memory - windows get clamped - cache_bytes_per_token_per_layer * (100 * 9 + 30 * 5) + 4, + cache_bytes_per_token_per_layer * (100 * 4 + 130 * 5) + 4, { 100: [0, 1, 2, 3], 130: [4, 5, 6, 7, 8], @@ -477,7 +479,7 @@ def test_adjust_window_sizes_for_vswa(self): ( # Case 2: Less limited memory - the largest window get clamped cache_bytes_per_token_per_layer * - (100 * 9 + 100 * 5 + 817 * 2) + 4, + (100 * 4 + 200 * 3 + 1017 * 2) + 4, { 100: [0, 1, 2, 3], 200: [4, 5, 6], @@ -510,8 +512,7 @@ def test_adjust_window_sizes_for_vswa(self): ( # Case 5: Less limited memory but max_tokens is given. # memory is enough for 1017 tokens, it will be clamped by max_tokens=134. - cache_bytes_per_token_per_layer * - (100 * 9 + 100 * 5 + 817 * 2) + 4, + cache_bytes_per_token_per_layer * (100 * 4 + 134 * 5) + 4, { 100: [0, 1, 2, 3], 134: [4, 5, 6, 7, 8], @@ -523,8 +524,33 @@ def test_adjust_window_sizes_for_vswa(self): for memory_bytes, expected_window_sizes, expected_max_attention_window_vec, max_tokens, description in test_cases: with self.subTest(case=description, memory_bytes=memory_bytes): - kv_cache_config = tllm.KvCacheConfig(max_tokens=max_tokens) - adjusted, adjusted_max_attention_window_vec = KVCacheManager.adjust_window_sizes_for_vswa( + kv_cache_config_params = { + "max_attention_window": max_attention_window_vec, + "free_gpu_memory_fraction": 1.0, + "host_cache_size": 0, + "max_gpu_total_bytes": memory_bytes, + } + kv_cache_config = TestResourceManager._create_kv_cache_config_for_kv_cache_manager( + kv_cache_config_params) + mapping = Mapping(world_size=1, tp_size=1, pp_size=1) + + manager = KVCacheManager( + kv_cache_config=kv_cache_config, + kv_cache_type=tensorrt_llm.bindings.internal.batch_manager. + CacheType.SELF, + num_layers=model_config.num_attention_layers, + num_kv_heads=8, + head_dim=model_config.head_size, + tokens_per_block=32, + max_seq_len=max(max_attention_window_vec), + max_batch_size=1, + mapping=mapping, + dtype=model_config.data_type, + model_config=model_config, + max_beam_width=1, + ) + + adjusted, adjusted_max_attention_window_vec = manager.adjust_window_sizes_for_vswa( window_size_to_layers=window_size_to_layers, max_attention_window_vec=max_attention_window_vec, model_config=model_config, @@ -581,7 +607,7 @@ def _create_kv_cache_config_for_kv_cache_manager( """ return KvCacheConfig(**params) - def test_calculate_max_num_blocks_from_cpp(self): + def test_calculate_max_num_blocks_for_vswa(self): # Construct a minimal mapping (single-rank, no TP/PP) mapping = Mapping(world_size=1, tp_size=1, pp_size=1) @@ -651,7 +677,7 @@ class MemTestCase(NamedTuple): kv_cache_config_params) with patch('torch.cuda.mem_get_info', return_value=(fixed_free_mem, fixed_total_mem)): - # Create a real KVCacheManager, it will run calculate_max_num_blocks_from_cpp in __init__ + # Create a real KVCacheManager, it will run calculate_max_num_blocks_for_vswa in __init__ manager = KVCacheManager( kv_cache_config=kv_cache_config, kv_cache_type=tensorrt_llm.bindings.internal. From 06e6ef62a1944a84f597bd38728be10a6fa7fb4f Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 1 Mar 2026 03:48:59 +0000 Subject: [PATCH 173/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/models/core/qwen/poetry.lock | 10 +++++----- .../examples/models/core/qwen/pyproject.toml | 2 +- security_scanning/metadata.json | 4 ++-- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index b250bccf8246..de6569cf6a19 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -2934,14 +2934,14 @@ files = [ [[package]] name = "sse-starlette" -version = "3.2.0" +version = "3.3.2" description = "SSE plugin for Starlette" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "sse_starlette-3.2.0-py3-none-any.whl", hash = "sha256:5876954bd51920fc2cd51baee47a080eb88a37b5b784e615abb0b283f801cdbf"}, - {file = "sse_starlette-3.2.0.tar.gz", hash = "sha256:8127594edfb51abe44eac9c49e59b0b01f1039d0c7461c6fd91d4e03b70da422"}, + {file = "sse_starlette-3.3.2-py3-none-any.whl", hash = "sha256:5c3ea3dad425c601236726af2f27689b74494643f57017cafcb6f8c9acfbb862"}, + {file = "sse_starlette-3.3.2.tar.gz", hash = "sha256:678fca55a1945c734d8472a6cad186a55ab02840b4f6786f5ee8770970579dcd"}, ] [package.dependencies] @@ -3682,4 +3682,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "e1672d7c06659f4fde66a2167df01e4139f8a05c165c7b7581a0ac34de370c93" +content-hash = "027f86b8ac2302108765cdc43dea3ccb6defb9a96e7429d9af8ce8c435b5f8ba" diff --git a/security_scanning/examples/models/core/qwen/pyproject.toml b/security_scanning/examples/models/core/qwen/pyproject.toml index ce94a3630f26..963c16e2aaa2 100644 --- a/security_scanning/examples/models/core/qwen/pyproject.toml +++ b/security_scanning/examples/models/core/qwen/pyproject.toml @@ -17,7 +17,7 @@ dependencies = [ "einops (>=0.8.2,<0.9.0)", "gradio (==5.4.0)", "mdtex2html (>=1.3.2,<2.0.0)", - "sse-starlette (>=3.2.0,<4.0.0)", + "sse-starlette (>=3.3.2,<4.0.0)", "aiohttp-sse-client (>=0.2.1,<0.3.0)", "openai (>=2.24.0,<3.0.0)" ] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index a204674112c1..00cd0b81eb0d 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "1648ce6bd0e9d564ba633e81df79a28ed9a138d2", - "timestamp": "2026-02-28T04:08:42Z" + "commit_hash": "c693d41ededfd601965820a04e25527dbe5ac4c8", + "timestamp": "2026-03-01T03:26:08Z" } From ae32812ad4db8b523bf2312c3e8607ab1e263b0b Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 1 Mar 2026 04:26:44 +0000 Subject: [PATCH 174/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 00cd0b81eb0d..a8e0874d559e 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "c693d41ededfd601965820a04e25527dbe5ac4c8", - "timestamp": "2026-03-01T03:26:08Z" + "commit_hash": "06e6ef62a1944a84f597bd38728be10a6fa7fb4f", + "timestamp": "2026-03-01T04:01:13Z" } From 7a6d55183a1091bbee95f66d313d46b1680f782a Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 2 Mar 2026 04:24:18 +0000 Subject: [PATCH 175/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 8 +- .../examples/auto_deploy/poetry.lock | 268 ++++++++-------- .../examples/draft_target_model/poetry.lock | 268 ++++++++-------- security_scanning/examples/eagle/poetry.lock | 268 ++++++++-------- .../llm-eval/lm-eval-harness/poetry.lock | 268 ++++++++-------- .../examples/lookahead/poetry.lock | 268 ++++++++-------- security_scanning/examples/medusa/poetry.lock | 268 ++++++++-------- .../models/contrib/baichuan/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/bloom/poetry.lock | 268 ++++++++-------- .../models/contrib/chatglm-6b/poetry.lock | 268 ++++++++-------- .../models/contrib/chatglm2-6b/poetry.lock | 268 ++++++++-------- .../contrib/chatglm3-6b-32k/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/dbrx/poetry.lock | 268 ++++++++-------- .../models/contrib/deepseek_v1/poetry.lock | 268 ++++++++-------- .../models/contrib/deepseek_v2/poetry.lock | 268 ++++++++-------- .../models/contrib/falcon/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/gptj/poetry.lock | 268 ++++++++-------- .../models/contrib/gptneox/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/grok/poetry.lock | 268 ++++++++-------- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/jais/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/opt/poetry.lock | 268 ++++++++-------- .../models/contrib/skywork/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/smaug/poetry.lock | 268 ++++++++-------- .../examples/models/contrib/stdit/poetry.lock | 6 +- .../examples/models/core/commandr/poetry.lock | 268 ++++++++-------- .../examples/models/core/gemma/poetry.lock | 268 ++++++++-------- .../examples/models/core/glm-4-9b/poetry.lock | 268 ++++++++-------- .../examples/models/core/gpt/poetry.lock | 268 ++++++++-------- .../examples/models/core/llama/poetry.lock | 268 ++++++++-------- .../examples/models/core/mamba/poetry.lock | 268 ++++++++-------- .../examples/models/core/mixtral/poetry.lock | 6 +- .../examples/models/core/mllama/poetry.lock | 6 +- .../examples/models/core/nemotron/poetry.lock | 268 ++++++++-------- .../examples/models/core/phi/poetry.lock | 268 ++++++++-------- .../examples/models/core/qwen/poetry.lock | 274 ++++++++-------- .../models/core/qwen2audio/poetry.lock | 268 ++++++++-------- .../examples/models/core/qwenvl/poetry.lock | 268 ++++++++-------- .../models/core/recurrentgemma/poetry.lock | 268 ++++++++-------- .../examples/models/core/whisper/poetry.lock | 268 ++++++++-------- security_scanning/examples/ngram/poetry.lock | 268 ++++++++-------- .../examples/quantization/poetry.lock | 268 ++++++++-------- .../examples/ray_orchestrator/poetry.lock | 268 ++++++++-------- .../examples/redrafter/poetry.lock | 268 ++++++++-------- security_scanning/examples/serve/poetry.lock | 294 +++++++++--------- .../examples/trtllm-eval/poetry.lock | 268 ++++++++-------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 276 ++++++++-------- security_scanning/triton_backend/poetry.lock | 268 ++++++++-------- 52 files changed, 6026 insertions(+), 6116 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index ecf6a29db2ae..cfb2f204e399 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -696,14 +696,14 @@ windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "python-dotenv" -version = "1.2.1" +version = "1.2.2" description = "Read key-value pairs from a .env file and set them as environment variables" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "python_dotenv-1.2.1-py3-none-any.whl", hash = "sha256:b81ee9561e9ca4004139c6cbba3a238c32b03e4894671e181b671e8cb8425d61"}, - {file = "python_dotenv-1.2.1.tar.gz", hash = "sha256:42667e897e16ab0d66954af0e60a9caa94f0fd4ecf3aaf6d2d260eec1aa36ad6"}, + {file = "python_dotenv-1.2.2-py3-none-any.whl", hash = "sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a"}, + {file = "python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3"}, ] [package.extras] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 312205723058..6b27c1eefab8 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -759,14 +759,14 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth [[package]] name = "filelock" -version = "3.24.3" +version = "3.25.0" description = "A platform independent file lock." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "filelock-3.24.3-py3-none-any.whl", hash = "sha256:426e9a4660391f7f8a810d71b0555bce9008b0a1cc342ab1f6947d37639e002d"}, - {file = "filelock-3.24.3.tar.gz", hash = "sha256:011a5644dc937c22699943ebbfc46e969cdde3e171470a6e40b9533e5a72affa"}, + {file = "filelock-3.25.0-py3-none-any.whl", hash = "sha256:5ccf8069f7948f494968fc0713c10e5c182a9c9d9eef3a636307a20c2490f047"}, + {file = "filelock-3.25.0.tar.gz", hash = "sha256:8f00faf3abf9dc730a1ffe9c354ae5c04e079ab7d3a683b7c32da5dd05f26af3"}, ] [[package]] @@ -4435,142 +4435,140 @@ files = [ [[package]] name = "yarl" -version = "1.22.0" +version = "1.23.0" description = "Yet another URL library" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "yarl-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = 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(#11779) Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 9fc9e560ac54..c701952798e3 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -303,7 +303,6 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_3_70BInstruct::test_fp8_eagle3_tp8[ accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_fp8[throughput_latency] SKIP (https://nvbugs/5775544) triton_server/test_triton.py::test_llava_onevision[llava_onevision] SKIP (https://nvbugs/5775205) triton_server/test_triton.py::test_gpt_ib_lad[gpt-ib-lad] SKIP (https://nvbugs/5775223) -unittest/_torch/modules/test_fused_moe.py::test_fused_moe_fp8_blockwise_cute_dsl_multi_gpu[MoEWeightLoadingMode.FUSED_GATE_UP_PROJ-DefaultMoeRoutingMethod-1] SKIP (https://nvbugs/5775256) unittest/_torch/attention/test_flashinfer_star_attn.py::TestStarAttention::test_flashinfer_star_attention[num_layers:2-num_heads:32-num_kv_heads:8-head_dim:64-anchor_size:64-block_size:64-dtype:torch.float16] SKIP (https://nvbugs/5781389) unittest/_torch/ray_orchestrator/multi_gpu/test_ops.py::test_reducescatter_pg_op[var_len:True-seqlen:16-hidden:128] SKIP (https://nvbugs/5781383) cpp/test_e2e.py::test_model[-mamba-86] SKIP (https://nvbugs/5781665) From 9b0c020eca82eb26f2be74768f6de47aca15c4d0 Mon Sep 17 00:00:00 2001 From: Yiqing Yan Date: Mon, 2 Mar 2026 13:47:13 +0800 Subject: [PATCH 177/241] [TRTLLM-11135][fix] Fix vulnerabilities protobuf (#11702) Signed-off-by: Yiqing Yan --- constraints.txt | 2 ++ jenkins/current_image_tags.properties | 8 ++++---- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/constraints.txt b/constraints.txt index 3586deaf81d3..96eab0257160 100644 --- a/constraints.txt +++ b/constraints.txt @@ -4,3 +4,5 @@ urllib3>=2.6.3 # WAR against https://github.com/advisories/GHSA-8rrh-rw8j-w5fx wheel>=0.46.2 +# WAR against https://github.com/advisories/GHSA-7gcm-g887-7qv7 +protobuf>=6.33.5 diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 2ea836eda0a4..6b050ab4d9aa 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602051437-11226 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602051437-11226 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202602051437-11226 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202602051437-11226 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602261110-11702 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602261110-11702 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202602261110-11702 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202602261110-11702 From a4ee00f9b5c3a307701cd28ac8c4cbe8f92c29ff Mon Sep 17 00:00:00 2001 From: heyuhhh <58161490+heyuhhh@users.noreply.github.com> Date: Mon, 2 Mar 2026 15:02:54 +0800 Subject: [PATCH 178/241] [https://nvbugs/5762822][chore] Unwaive longbenchV2 test (#11647) Signed-off-by: yuhangh <58161490+heyuhhh@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index c701952798e3..d0f714ef2ed8 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -277,7 +277,6 @@ accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4[moe_backend=CUT test_e2e.py::test_ptp_quickstart_advanced_2gpus_sm120[Nemotron-Super-49B-v1-BF16-nemotron-nas/Llama-3_3-Nemotron-Super-49B-v1] SKIP (https://nvbugs/5670469) unittest/_torch/multi_gpu/test_mnnvl_allreduce.py::test_row_linear_residual_norm_fusion[no_fusion-strategy:8-dtype:bfloat16-hidden:8192-seqlen:[15]] SKIP (https://nvbugs/5761364) triton_server/test_triton.py::test_gpt_speculative_decoding[gpt-speculative-decoding] SKIP (https://nvbugs/5762854) -accuracy/test_llm_api_pytorch.py::TestLlama3_1_8B_Instruct_RocketKV::test_auto_dtype SKIP (https://nvbugs/5762822) unittest/_torch/sampler/test_return_logits.py SKIP (https://nvbugs/5764627) examples/test_ray.py::test_ray_disaggregated_serving[tp2] SKIP (https://nvbugs/5612502) unittest/executor/test_rpc_proxy.py SKIP (https://nvbugs/5605741) From 6c542e98216d60a044cf084db02a09a7c75a6750 Mon Sep 17 00:00:00 2001 From: Tailing Yuan Date: Mon, 2 Mar 2026 19:14:44 +0800 Subject: [PATCH 179/241] [https://nvbugs/5823212][fix] Warmup maybe_compiled_cat in forward_context_with_chunked_prefill (#11744) Signed-off-by: Tailing Yuan --- .../_torch/attention_backend/trtllm.py | 9 +++ tensorrt_llm/_torch/modules/attention.py | 55 +++++++++++++++++++ 2 files changed, 64 insertions(+) diff --git a/tensorrt_llm/_torch/attention_backend/trtllm.py b/tensorrt_llm/_torch/attention_backend/trtllm.py index c54776d23320..4b82be030ca9 100644 --- a/tensorrt_llm/_torch/attention_backend/trtllm.py +++ b/tensorrt_llm/_torch/attention_backend/trtllm.py @@ -1824,6 +1824,15 @@ def is_chunked_prefill_for_mla_context( and metadata.num_ctx_cached_tokens > 0 and metadata.runtime_features.chunked_prefill) + def is_chunked_prefill_mla_context_for_warmup( + self, + metadata: TrtllmAttentionMetadata, + ) -> bool: + """Chunked prefill MLA context check for warmup; does not check num_ctx_cached_tokens.""" + return (self.is_mla_enable and metadata.kv_cache_manager is not None + and metadata.enable_context_mla_with_cached_kv + and metadata.runtime_features.chunked_prefill) + def load_paged_kv_cache_for_mla( self, metadata: TrtllmAttentionMetadata, diff --git a/tensorrt_llm/_torch/modules/attention.py b/tensorrt_llm/_torch/modules/attention.py index 4ca80912af12..9b5a4f9a085a 100644 --- a/tensorrt_llm/_torch/modules/attention.py +++ b/tensorrt_llm/_torch/modules/attention.py @@ -1,3 +1,4 @@ +import functools import math import weakref from typing import List, Optional, Union, cast @@ -1755,6 +1756,54 @@ def forward_context_with_chunked_prefill( return attn_output + @staticmethod + @functools.cache + def cached_warmup_forward_context_with_chunked_prefill( + num_heads_tp, qk_nope_head_dim, qk_rope_head_dim, kv_lora_rank, + v_head_dim, dtype, device): + """Warmup torch.compile for cat operations with different tensor layouts. + + Tensors are marked with torch._dynamo.maybe_mark_dynamic(..., 0) on the + num_tokens dimension, so for num_tokens != 1 a single warmup run is + enough and the compiled kernel generalizes across varying num_tokens at + runtime. num_tokens=1 still triggers recompile (torch.compile specializes + for it), so it is warmed up separately. Do not use torch.compile with + dynamic=True here because it completely ignores tensor layout/stride + information, resulting in significantly degraded performance. + """ + + def warmup(num_tokens): + chunked_k_nope = k_nope = torch.empty( + num_tokens, + num_heads_tp * (qk_nope_head_dim + v_head_dim), + dtype=dtype, + device=device)[:, :num_heads_tp * qk_nope_head_dim].view( + num_tokens, num_heads_tp, qk_nope_head_dim) + chunked_k_pe = torch.empty(num_tokens, + 1, + qk_rope_head_dim, + dtype=dtype, + device=device).expand( + -1, num_heads_tp, -1) + k_pe = torch.empty(num_tokens, + 1, + kv_lora_rank + qk_rope_head_dim, + dtype=dtype, + device=device)[:, :, -qk_rope_head_dim:].expand( + -1, num_heads_tp, -1) + torch._dynamo.maybe_mark_dynamic(chunked_k_nope, 0) + torch._dynamo.maybe_mark_dynamic(chunked_k_pe, 0) + torch._dynamo.maybe_mark_dynamic(k_pe, 0) + maybe_compiled_cat((chunked_k_nope, chunked_k_pe), dim=-1) + maybe_compiled_cat((k_nope, k_pe), dim=-1) + + # With dim 0 (num_tokens) marked dynamic, one warmup suffices for all + # num_tokens != 1 at runtime. + warmup(2) + + # num_tokens=1 still triggers recompile; warm it separately. + warmup(1) + def forward_context( self, q: torch.Tensor, @@ -1768,6 +1817,12 @@ def forward_context( if isinstance(self.mha, TrtllmAttention): assert isinstance(attn_metadata, TrtllmAttentionMetadata) trtllm_attention = cast(TrtllmAttention, self.mha) + if trtllm_attention.is_chunked_prefill_mla_context_for_warmup( + attn_metadata): + self.cached_warmup_forward_context_with_chunked_prefill( + self.num_heads_tp, self.qk_nope_head_dim, + self.qk_rope_head_dim, self.kv_lora_rank, self.v_head_dim, + q.dtype, q.device) if trtllm_attention.is_chunked_prefill_for_mla_context( attn_metadata): return self.forward_context_with_chunked_prefill( From 76dd900cd1d934a467c8641ee07e2d4a538362fd Mon Sep 17 00:00:00 2001 From: Yechan Kim <161688079+yechank-nvidia@users.noreply.github.com> Date: Tue, 3 Mar 2026 09:55:09 +0900 Subject: [PATCH 180/241] [https://nvbugs/5747920][bug] Cherry pick 11296 from main (#11771) Signed-off-by: yechank <161688079+yechank-nvidia@users.noreply.github.com> --- examples/serve/aiperf_client_for_multimodal.sh | 2 +- tests/integration/test_lists/waives.txt | 1 - .../llmapi/apps/_test_trtllm_serve_multimodal_example.py | 7 +++++-- 3 files changed, 6 insertions(+), 4 deletions(-) diff --git a/examples/serve/aiperf_client_for_multimodal.sh b/examples/serve/aiperf_client_for_multimodal.sh index 14fbcfb614a6..cec9c0163d42 100644 --- a/examples/serve/aiperf_client_for_multimodal.sh +++ b/examples/serve/aiperf_client_for_multimodal.sh @@ -2,7 +2,7 @@ aiperf profile \ -m Qwen2.5-VL-3B-Instruct \ - --tokenizer Qwen/Qwen2.5-VL-3B-Instruct \ + --tokenizer ${AIPERF_TOKENIZER_PATH:-Qwen/Qwen2.5-VL-3B-Instruct} \ --endpoint-type chat \ --random-seed 123 \ --image-width-mean 64 \ diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index d0f714ef2ed8..118268da06e0 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -256,7 +256,6 @@ full:sm89/accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ unittest/_torch/multi_gpu/test_allreduce.py::test_allreduce_fusion_patterns[2-residual_rms_norm_out_quant_fp8-hidden:7168-seqlen:8192] SKIP (https://nvbugs/5741392) unittest/executor/test_rpc.py::TestRpcCorrectness::test_incremental_task_async SKIP (https://nvbugs/5741476) test_e2e.py::test_trtllm_bench_llmapi_launch[pytorch_backend-llama-v3-llama3-8b] SKIP (https://nvbugs/5744432) -test_e2e.py::test_trtllm_serve_multimodal_example SKIP (https://nvbugs/5747920) cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-2proc-mpi_kvcache-90] SKIP (https://nvbugs/5755941) examples/test_granite.py::test_llm_granite[granite-3.0-1b-a400m-instruct-bfloat16] SKIP (https://nvbugs/5608979) examples/test_granite.py::test_llm_granite[granite-3.0-2b-instruct-bfloat16] SKIP (https://nvbugs/5608979) diff --git a/tests/unittest/llmapi/apps/_test_trtllm_serve_multimodal_example.py b/tests/unittest/llmapi/apps/_test_trtllm_serve_multimodal_example.py index 490ccfb232de..30c2b9d2c24a 100644 --- a/tests/unittest/llmapi/apps/_test_trtllm_serve_multimodal_example.py +++ b/tests/unittest/llmapi/apps/_test_trtllm_serve_multimodal_example.py @@ -61,12 +61,15 @@ def example_root(): @pytest.mark.parametrize("exe, script", [("python3", "openai_chat_client_for_multimodal.py"), ("bash", "aiperf_client_for_multimodal.sh")]) -def test_trtllm_serve_examples(exe: str, script: str, +def test_trtllm_serve_examples(exe: str, script: str, model_name: str, server: RemoteOpenAIServer, example_root: str): client_script = os.path.join(example_root, script) + custom_env = os.environ.copy() + custom_env["AIPERF_TOKENIZER_PATH"] = get_model_path(model_name) # CalledProcessError will be raised if any errors occur subprocess.run([exe, client_script], stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, - check=True) + check=True, + env=custom_env) From 527ce261d7cf71e6da04e8a20b855465f284090a Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 3 Mar 2026 04:53:05 +0000 Subject: [PATCH 181/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 8 ++++---- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 8 ++++---- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 10 +++++----- security_scanning/triton_backend/pyproject.toml | 2 +- 6 files changed, 17 insertions(+), 17 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index cfb2f204e399..c0c0797ae099 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -317,14 +317,14 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "imagesize" -version = "1.4.1" +version = "1.5.0" description = "Getting image size from png/jpeg/jpeg2000/gif file" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" groups = ["main"] files = [ - {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"}, - {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"}, + {file = "imagesize-1.5.0-py2.py3-none-any.whl", hash = "sha256:32677681b3f434c2cb496f00e89c5a291247b35b1f527589909e008057da5899"}, + {file = "imagesize-1.5.0.tar.gz", hash = "sha256:8bfc5363a7f2133a89f0098451e0bcb1cd71aba4dc02bbcecb39d99d40e1b94f"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 1c1ee9abb849..f20f84e43c12 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "ae32812ad4db8b523bf2312c3e8607ab1e263b0b", - "timestamp": "2026-03-02T04:01:19Z" + "commit_hash": "76dd900cd1d934a467c8641ee07e2d4a538362fd", + "timestamp": "2026-03-03T04:08:39Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 5c1705cc7ced..5ceb3413d953 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -4232,14 +4232,14 @@ xmp = ["defusedxml"] [[package]] name = "plotly" -version = "6.5.2" +version = "6.6.0" description = "An open-source interactive data visualization library for Python" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "plotly-6.5.2-py3-none-any.whl", hash = "sha256:91757653bd9c550eeea2fa2404dba6b85d1e366d54804c340b2c874e5a7eb4a4"}, - {file = "plotly-6.5.2.tar.gz", hash = "sha256:7478555be0198562d1435dee4c308268187553cc15516a2f4dd034453699e393"}, + {file = "plotly-6.6.0-py3-none-any.whl", hash = "sha256:8d6daf0f87412e0c0bfe72e809d615217ab57cc715899a1e5145135a7800d1d0"}, + {file = "plotly-6.6.0.tar.gz", hash = "sha256:b897f15f3b02028d69f755f236be890ba950d0a42d7dfc619b44e2d8cea8748c"}, ] [package.dependencies] @@ -6839,4 +6839,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "ef12b5884054155c55b2d053b48c1a29ebcc24c1ed4923a6b49d77e402cede72" +content-hash = "d42fb8dbc70d2e980bb804155630d003cb18a6ffb9cbfe581bc9caaa42bf2986" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index c2488802266f..777a4a27e958 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -70,7 +70,7 @@ dependencies = [ "blobfile (>=3.2.0,<4.0.0)", "openai-harmony (==0.0.4)", "nvidia-cutlass-dsl (==4.3.4)", - "plotly (>=6.5.2,<7.0.0)", + "plotly (>=6.6.0,<7.0.0)", "numexpr (<2.14.0)", "partial-json-parser (>=0.2.1.1.post7,<0.3.0.0)", "torch-c-dlpack-ext (==0.1.3)", diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index e4dbd54db125..1d3a6d675abf 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -2176,15 +2176,15 @@ vision = ["Pillow (>=10.0.1,<=15.0)"] [[package]] name = "tritonclient" -version = "2.65.0" +version = "2.66.0" description = "Python client library and utilities for communicating with Triton Inference Server" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "tritonclient-2.65.0-py3-none-any.whl", hash = "sha256:cc3e58cf24a5f53fe24066e2037756560f6fdd2743a9d19fbb641b7580a63b4f"}, - {file = "tritonclient-2.65.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:75f0ecac1cbd4a2539ef2c27c5774ebc674e679a590a4840cd3f0dd696c80a2b"}, - {file = "tritonclient-2.65.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:10ed058d2b816a0bd48d6c62d8dcb01864a0c2cc971a31fe366d328f6e3311c2"}, + {file = "tritonclient-2.66.0-py3-none-any.whl", hash = "sha256:7e3558a47542528a4edd2da607050e756022c6b14ea2b352a67c78f1484e698f"}, + {file = "tritonclient-2.66.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:d2c2865239017a0d15a5f34e23f093feac222e608d6182a1444354204a0833ad"}, + {file = "tritonclient-2.66.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:ec759cd8186130be9726be2fa31bc14b1dd46daa19add770610df889aa57d0a4"}, ] [package.dependencies] @@ -2444,4 +2444,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "0ca8bb8ddbcb5dac6b8ceae81f81849f822e07ae34a19764284fbd2b44deb8ae" +content-hash = "3dc9bf8cacb4756bbb33f1fe602981decf1a582846fe37eac51ec42a6077f5e5" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index 662c63ac5326..d2540d115762 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -9,7 +9,7 @@ requires-python = ">=3.10,<3.13" dependencies = [ "regex (>=2026.2.28,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", - "tritonclient[all] (>=2.65.0,<3.0.0)", + "tritonclient[all] (>=2.66.0,<3.0.0)", "transformers (==4.57.1)", "tabulate (>=0.9.0,<0.10.0)", "torchao (>=0.14.1)" From 96c09fbd09c56073cfa3148b7438c84a88788404 Mon Sep 17 00:00:00 2001 From: Yibin Li <109242046+yibinl-nvidia@users.noreply.github.com> Date: Wed, 4 Mar 2026 11:46:53 +0800 Subject: [PATCH 182/241] [TRTLLM-11176][fix] Security Issue Fix cherry pick (#11683) Signed-off-by: Yibin Li <109242046+yibinl-nvidia@users.noreply.github.com> --- cpp/tensorrt_llm/runtime/utils/numpyUtils.cpp | 1 + tensorrt_llm/executor/utils.py | 4 +- tensorrt_llm/llmapi/mgmn_leader_node.py | 10 ++-- tensorrt_llm/llmapi/rlhf_utils.py | 31 ++++++++++++- tensorrt_llm/serialization.py | 41 ++++++++++++----- .../single_gpu/test_llm_update_weights.py | 46 ++++++++++++++++++- tests/unittest/llmapi/_run_mpi_comm_task.py | 4 +- .../llmapi/_run_multi_mpi_comm_tasks.py | 7 ++- 8 files changed, 120 insertions(+), 24 deletions(-) diff --git a/cpp/tensorrt_llm/runtime/utils/numpyUtils.cpp b/cpp/tensorrt_llm/runtime/utils/numpyUtils.cpp index 4c37f480bd41..6f95704455d3 100644 --- a/cpp/tensorrt_llm/runtime/utils/numpyUtils.cpp +++ b/cpp/tensorrt_llm/runtime/utils/numpyUtils.cpp @@ -105,6 +105,7 @@ void parseNpyIntro(FILE*& f_ptr, uint32_t& header_len, uint32_t& start_data) int parseNpyHeader(FILE*& f_ptr, uint32_t header_len, nvinfer1::DataType& type, std::vector& shapeVec) { char* header_c = (char*) malloc(header_len * sizeof(char)); + TLLM_CHECK_WITH_INFO(header_c != nullptr, "Failed to allocate memory for npy header"); size_t n_elems = fread((void*) header_c, sizeof(char), header_len, f_ptr); if (n_elems != header_len) { diff --git a/tensorrt_llm/executor/utils.py b/tensorrt_llm/executor/utils.py index e52ea481fb01..9801ee1cd230 100644 --- a/tensorrt_llm/executor/utils.py +++ b/tensorrt_llm/executor/utils.py @@ -55,9 +55,9 @@ def create_mpi_comm_session( logger_debug( f"Using RemoteMpiPoolSessionClient to bind to external MPI processes at {get_spawn_proxy_process_ipc_addr_env()}\n", "yellow") - get_spawn_proxy_process_ipc_hmac_key_env() + hmac_key = get_spawn_proxy_process_ipc_hmac_key_env() return RemoteMpiCommSessionClient( - addr=get_spawn_proxy_process_ipc_addr_env()) + addr=get_spawn_proxy_process_ipc_addr_env(), hmac_key=hmac_key) else: logger_debug( f"Using MpiCommSession to bind to external MPI processes\n", diff --git a/tensorrt_llm/llmapi/mgmn_leader_node.py b/tensorrt_llm/llmapi/mgmn_leader_node.py index 85f8561ebe48..2b1d11b0ccf4 100644 --- a/tensorrt_llm/llmapi/mgmn_leader_node.py +++ b/tensorrt_llm/llmapi/mgmn_leader_node.py @@ -9,7 +9,9 @@ from tensorrt_llm._utils import global_mpi_rank, mpi_world_size from tensorrt_llm.executor.ipc import ZeroMqQueue -from tensorrt_llm.executor.utils import get_spawn_proxy_process_ipc_addr_env +from tensorrt_llm.executor.utils import ( + get_spawn_proxy_process_ipc_addr_env, + get_spawn_proxy_process_ipc_hmac_key_env) from tensorrt_llm.llmapi.mpi_session import RemoteMpiCommSessionServer from tensorrt_llm.llmapi.utils import logger_debug @@ -23,6 +25,7 @@ def launch_server_main(sub_comm=None): comm=sub_comm, n_workers=num_ranks, addr=get_spawn_proxy_process_ipc_addr_env(), + hmac_key=get_spawn_proxy_process_ipc_hmac_key_env(), is_comm=True) logger_debug( f"MPI Comm Server started at {get_spawn_proxy_process_ipc_addr_env()}") @@ -32,8 +35,9 @@ def launch_server_main(sub_comm=None): def stop_server_main(): - queue = ZeroMqQueue((get_spawn_proxy_process_ipc_addr_env(), None), - use_hmac_encryption=False, + hmac_key = get_spawn_proxy_process_ipc_hmac_key_env() + queue = ZeroMqQueue((get_spawn_proxy_process_ipc_addr_env(), hmac_key), + use_hmac_encryption=bool(hmac_key), is_server=False, socket_type=zmq.PAIR) diff --git a/tensorrt_llm/llmapi/rlhf_utils.py b/tensorrt_llm/llmapi/rlhf_utils.py index ce6eaa5b4ff8..52219f998526 100644 --- a/tensorrt_llm/llmapi/rlhf_utils.py +++ b/tensorrt_llm/llmapi/rlhf_utils.py @@ -1,9 +1,9 @@ import base64 -import pickle # nosec B403 from typing import Optional import torch +from tensorrt_llm import serialization from tensorrt_llm._ray_utils import control_action_decorator from tensorrt_llm._torch.modules.fused_moe.moe_load_balancer import MoeLoadBalancer from tensorrt_llm._torch.utils import get_device_uuid @@ -62,8 +62,35 @@ def update_weights(self, ipc_handles: Optional[dict] = None): serialized_handles = ipc_handles[device_uuid] if isinstance(serialized_handles, str): # Data is base64-encoded pickled bytes - deserialize it + # using restricted unpickler from tensorrt_llm.serialization logger.info("Deserializing base64-encoded weight handles") - all_handles = pickle.loads(base64.b64decode(serialized_handles)) # nosec B301 + decoded_data = base64.b64decode(serialized_handles) + # Allow basic builtins and all torch modules + approved_imports = { + "builtins": [ + "list", + "tuple", + "str", + "int", + "float", + "bool", + "bytes", + "dict", + "NoneType", + "type", + ], + } + all_handles = serialization.loads( + decoded_data, + approved_imports=approved_imports, + approved_module_patterns=[r"^torch.*"], + ) + + # Verify the result is a list as expected + if not isinstance(all_handles, list): + raise ValueError( + f"Deserialized data must be a list, got {type(all_handles).__name__} instead" + ) else: # Data is already in the correct format (backward compatibility) all_handles = serialized_handles diff --git a/tensorrt_llm/serialization.py b/tensorrt_llm/serialization.py index 4045df36177b..ac303fec9f85 100644 --- a/tensorrt_llm/serialization.py +++ b/tensorrt_llm/serialization.py @@ -2,6 +2,7 @@ # pickle is not secure, but but this whole file is a wrapper to make it # possible to mitigate the primary risk of code injection via pickle. import pickle # nosec B403 +import re from functools import partial # This is an example class (white list) to showcase how to guard serialization with approved classes. @@ -126,19 +127,31 @@ def register_approved_class(obj): class Unpickler(pickle.Unpickler): - def __init__(self, *args, approved_imports={}, **kwargs): + def __init__(self, + *args, + approved_imports={}, + approved_module_patterns=None, + **kwargs): super().__init__(*args, **kwargs) self.approved_imports = approved_imports + self.approved_module_patterns = approved_module_patterns or [] # only import approved classes, this is the security boundary. def find_class(self, module, name): - if name not in self.approved_imports.get(module, []): - # If this is triggered when it shouldn't be, then the module - # and class should be added to the approved_imports. If the class - # is being used as part of a routine scenario, then it should be added - # to the appropriate base classes above. - raise ValueError(f"Import {module} | {name} is not allowed") - return super().find_class(module, name) + # Check exact match in approved_imports + if name in self.approved_imports.get(module, []): + return super().find_class(module, name) + + # Check regex pattern match in approved_module_patterns + for pattern in self.approved_module_patterns: + if re.match(pattern, module): + return super().find_class(module, name) + + # If this is triggered when it shouldn't be, then the module + # and class should be added to the approved_imports. If the class + # is being used as part of a routine scenario, then it should be added + # to the appropriate base classes above. + raise ValueError(f"Import {module} | {name} is not allowed") # these are taken from the pickle module to allow for this to be a drop in replacement @@ -156,13 +169,15 @@ def load(file, encoding="ASCII", errors="strict", buffers=None, - approved_imports={}): + approved_imports={}, + approved_module_patterns=None): return Unpickler(file, fix_imports=fix_imports, buffers=buffers, encoding=encoding, errors=errors, - approved_imports=approved_imports).load() + approved_imports=approved_imports, + approved_module_patterns=approved_module_patterns).load() def loads(s, @@ -172,7 +187,8 @@ def loads(s, encoding="ASCII", errors="strict", buffers=None, - approved_imports={}): + approved_imports={}, + approved_module_patterns=None): if isinstance(s, str): raise TypeError("Can't load pickle from unicode string") file = io.BytesIO(s) @@ -181,4 +197,5 @@ def loads(s, buffers=buffers, encoding=encoding, errors=errors, - approved_imports=approved_imports).load() + approved_imports=approved_imports, + approved_module_patterns=approved_module_patterns).load() diff --git a/tests/unittest/_torch/ray_orchestrator/single_gpu/test_llm_update_weights.py b/tests/unittest/_torch/ray_orchestrator/single_gpu/test_llm_update_weights.py index 96e882261222..9914913c2ffa 100644 --- a/tests/unittest/_torch/ray_orchestrator/single_gpu/test_llm_update_weights.py +++ b/tests/unittest/_torch/ray_orchestrator/single_gpu/test_llm_update_weights.py @@ -1,3 +1,5 @@ +import base64 +import pickle from typing import Callable, List, Optional import pytest @@ -71,6 +73,40 @@ def get_weight_ipc_handles( return ret + def get_weight_ipc_handles_serialized( + self, + cuda_device: Optional[List[int]] = None, + weight_filter: Optional[Callable[[str], bool]] = None, + ): + """ + Get base64-encoded serialized IPC handles for model weights. + + Args: + cuda_device: List of CUDA device indices to get weights from + weight_filter: Optional function that takes weight name and returns True if weight should be included + + Returns: + ret: Dictionary mapping device UUIDs to base64-encoded pickled handles + """ + ret = {} + device_list = list(range(torch.cuda.device_count())) if cuda_device is None else cuda_device + + for device in device_list: + all_handles = [] + for item in self.all_weights[device]: + name, p = item + # Apply filter if provided + if weight_filter is not None and not weight_filter(name): + continue + handle = reduce_tensor(p) + all_handles.append((name, handle)) + + # Serialize with base64-encoded pickle + serialized = base64.b64encode(pickle.dumps(all_handles)).decode("utf-8") + ret[self.device_uuid[device]] = serialized + + return ret + def generate_batch_incremental( self, original_prompts: List[str], generated_token_ids_list: List[List[int]] ): @@ -153,11 +189,13 @@ def run_generate(llm, hf_model, prompts, sampling_params): return llm_logits, ref_logits +@pytest.mark.parametrize("use_serialized_handles", [True, False]) @pytest.mark.parametrize( "model_dir", ["Qwen2.5-0.5B-Instruct", "Qwen3/Qwen3-8B", "llama-models-v2/TinyLlama-1.1B-Chat-v1.0"], ) -def test_llm_update_weights(model_dir): +def test_llm_update_weights(model_dir, use_serialized_handles): + """Test LLM update_weights with both serialized and direct IPC handle formats.""" model_dir = str(llm_models_root() / model_dir) kv_cache_config = KvCacheConfig(enable_block_reuse=True, free_gpu_memory_fraction=0.1) @@ -182,7 +220,11 @@ def test_llm_update_weights(model_dir): sampling_params = SamplingParams(temperature=0, return_generation_logits=True) - ipc_handles = hf_model.get_weight_ipc_handles([0]) + # Get IPC handles in either serialized or direct format + if use_serialized_handles: + ipc_handles = hf_model.get_weight_ipc_handles_serialized([0]) + else: + ipc_handles = hf_model.get_weight_ipc_handles([0]) llm._collective_rpc("update_weights", (ipc_handles,)) # Finalize the update weights diff --git a/tests/unittest/llmapi/_run_mpi_comm_task.py b/tests/unittest/llmapi/_run_mpi_comm_task.py index b60b7a1efdc1..94ca4d386596 100644 --- a/tests/unittest/llmapi/_run_mpi_comm_task.py +++ b/tests/unittest/llmapi/_run_mpi_comm_task.py @@ -3,6 +3,7 @@ import click +from tensorrt_llm.executor.utils import get_spawn_proxy_process_ipc_hmac_key_env from tensorrt_llm.llmapi.mpi_session import RemoteMpiCommSessionClient from tensorrt_llm.llmapi.utils import print_colored @@ -15,8 +16,9 @@ def main(task_type: Literal["submit", "submit_sync"]): tasks = [0] assert os.environ[ 'TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR'] is not None, "TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR is not set" + hmac_key = get_spawn_proxy_process_ipc_hmac_key_env() client = RemoteMpiCommSessionClient( - os.environ['TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR']) + os.environ['TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR'], hmac_key=hmac_key) for task in tasks: if task_type == "submit": client.submit(print_colored, f"{task}\n", "green") diff --git a/tests/unittest/llmapi/_run_multi_mpi_comm_tasks.py b/tests/unittest/llmapi/_run_multi_mpi_comm_tasks.py index 5b50df94f2da..440d07149cbb 100644 --- a/tests/unittest/llmapi/_run_multi_mpi_comm_tasks.py +++ b/tests/unittest/llmapi/_run_multi_mpi_comm_tasks.py @@ -3,7 +3,8 @@ import click -from tensorrt_llm.executor.utils import LlmLauncherEnvs +from tensorrt_llm.executor.utils import ( + LlmLauncherEnvs, get_spawn_proxy_process_ipc_hmac_key_env) from tensorrt_llm.llmapi.mpi_session import RemoteMpiCommSessionClient from tensorrt_llm.llmapi.utils import print_colored @@ -13,8 +14,10 @@ def run_task(task_type: Literal["submit", "submit_sync"]): assert os.environ[ LlmLauncherEnvs. TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR] is not None, "TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR is not set" + hmac_key = get_spawn_proxy_process_ipc_hmac_key_env() client = RemoteMpiCommSessionClient( - os.environ[LlmLauncherEnvs.TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR]) + os.environ[LlmLauncherEnvs.TLLM_SPAWN_PROXY_PROCESS_IPC_ADDR], + hmac_key=hmac_key) for task in tasks: if task_type == "submit": From c8f3331eb6c6dd53c2ad6cfedd9a4d2742f9c71a Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 4 Mar 2026 04:39:12 +0000 Subject: [PATCH 183/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 10 +- .../examples/auto_deploy/poetry.lock | 6 +- .../examples/draft_target_model/poetry.lock | 6 +- security_scanning/examples/eagle/poetry.lock | 6 +- .../llm-eval/lm-eval-harness/poetry.lock | 6 +- .../examples/lookahead/poetry.lock | 6 +- security_scanning/examples/medusa/poetry.lock | 6 +- .../models/contrib/baichuan/poetry.lock | 6 +- .../examples/models/contrib/bloom/poetry.lock | 6 +- .../models/contrib/chatglm-6b/poetry.lock | 6 +- .../models/contrib/chatglm2-6b/poetry.lock | 6 +- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +- .../examples/models/contrib/dbrx/poetry.lock | 6 +- .../models/contrib/deepseek_v1/poetry.lock | 6 +- .../models/contrib/deepseek_v2/poetry.lock | 6 +- .../models/contrib/falcon/poetry.lock | 6 +- .../examples/models/contrib/gptj/poetry.lock | 6 +- .../models/contrib/gptneox/poetry.lock | 6 +- .../examples/models/contrib/grok/poetry.lock | 12 +- .../models/contrib/internlm/poetry.lock | 6 +- .../examples/models/contrib/jais/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 6 +- .../examples/models/contrib/opt/poetry.lock | 6 +- .../models/contrib/skywork/poetry.lock | 6 +- .../examples/models/contrib/smaug/poetry.lock | 6 +- .../examples/models/core/commandr/poetry.lock | 6 +- .../examples/models/core/gemma/poetry.lock | 6 +- .../examples/models/core/glm-4-9b/poetry.lock | 6 +- .../examples/models/core/gpt/poetry.lock | 6 +- .../examples/models/core/llama/poetry.lock | 6 +- .../examples/models/core/mamba/poetry.lock | 6 +- .../examples/models/core/nemotron/poetry.lock | 6 +- .../examples/models/core/phi/poetry.lock | 6 +- .../examples/models/core/qwen/poetry.lock | 6 +- .../models/core/qwen2audio/poetry.lock | 6 +- .../examples/models/core/qwenvl/poetry.lock | 6 +- .../models/core/recurrentgemma/poetry.lock | 6 +- .../examples/models/core/whisper/poetry.lock | 6 +- security_scanning/examples/ngram/poetry.lock | 6 +- .../examples/quantization/poetry.lock | 6 +- .../examples/redrafter/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 6 +- .../examples/trtllm-eval/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 12 +- security_scanning/triton_backend/poetry.lock | 158 +++++++++--------- 46 files changed, 221 insertions(+), 221 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index c0c0797ae099..c9da840125c4 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -317,14 +317,14 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "imagesize" -version = "1.5.0" -description = "Getting image size from png/jpeg/jpeg2000/gif file" +version = "2.0.0" +description = "Get image size from headers (BMP/PNG/JPEG/JPEG2000/GIF/TIFF/SVG/Netpbm/WebP/AVIF/HEIC/HEIF)" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" +python-versions = "<3.15,>=3.10" groups = ["main"] files = [ - {file = "imagesize-1.5.0-py2.py3-none-any.whl", hash = "sha256:32677681b3f434c2cb496f00e89c5a291247b35b1f527589909e008057da5899"}, - {file = "imagesize-1.5.0.tar.gz", hash = "sha256:8bfc5363a7f2133a89f0098451e0bcb1cd71aba4dc02bbcecb39d99d40e1b94f"}, + {file = "imagesize-2.0.0-py2.py3-none-any.whl", hash = "sha256:5667c5bbb57ab3f1fa4bc366f4fbc971db3d5ed011fd2715fd8001f782718d96"}, + {file = "imagesize-2.0.0.tar.gz", hash = "sha256:8e8358c4a05c304f1fccf7ff96f036e7243a189e9e42e90851993c558cfe9ee3"}, ] [[package]] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 6b27c1eefab8..ecfadca545b8 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -2941,14 +2941,14 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 5e221d86f7df..e3d102e92042 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 6e57392846de..1be8715c7958 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index a9b7138bc0a5..ed0e320d55cc 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -2704,14 +2704,14 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 5e221d86f7df..e3d102e92042 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 5e221d86f7df..e3d102e92042 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 21c98ee703a0..30b667394683 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -1701,15 +1701,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index f1b4bbfc3809..f362130cabfc 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index 9c14ae44ff0b..16319f9a25ec 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -1708,15 +1708,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index 9c14ae44ff0b..16319f9a25ec 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -1708,15 +1708,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 9c14ae44ff0b..16319f9a25ec 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -1708,15 +1708,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index 7c84ad9bf92c..dfa8a362b3fe 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index 08c2b7d08f3a..c4db0627a9e6 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index e1815d2c3c98..1cd54f480943 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 910a6213b188..b5036f3cac76 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -1606,15 +1606,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index 08c2b7d08f3a..c4db0627a9e6 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 6e57392846de..1be8715c7958 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 04529287d29b..8fa3ee1603e2 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -1783,14 +1783,14 @@ nvidia-nvjitlink-cu12 = "*" [[package]] name = "nvidia-nccl-cu12" -version = "2.29.3" +version = "2.29.7" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = false python-versions = ">=3" groups = ["main"] files = [ - {file = "nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:6351b79dc7d2cc3d654ea1523616b9eeded71fe9c8da66b71eef9a5d1b2adad4"}, - {file = "nvidia_nccl_cu12-2.29.3-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:35ad42e7d5d722a83c36a3a478e281c20a5646383deaf1b9ed1a9ab7d61bed53"}, + {file = "nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:0cf032ee22b560447daf0456108a75e32bd74a4de6c6b64725637a359fa48cd8"}, + {file = "nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:ecd0a012051abc20c1aa87328841efa8cade3ced65803046e38c2f03c0891fea"}, ] [[package]] @@ -2311,15 +2311,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 5e221d86f7df..e3d102e92042 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = 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= "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index f1b4bbfc3809..f362130cabfc 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index f1b4bbfc3809..f362130cabfc 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index 08c2b7d08f3a..c4db0627a9e6 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index b5c84c5142c0..ad29c22def08 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -2061,15 +2061,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 9c14ae44ff0b..16319f9a25ec 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -1708,15 +1708,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = 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"python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index 08c2b7d08f3a..c4db0627a9e6 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1690,15 +1690,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index 129576541624..7ea3ec5e7895 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1702,15 +1702,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 572291778d77..18f8523470a5 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -2432,14 +2432,14 @@ files = [ [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index f020db184af9..9f19fc4ce2d5 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -1702,15 +1702,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index d03911a9877f..92fb66975b6f 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -2731,15 +2731,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 20e836b35c78..b6fa5cb84453 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -2023,15 +2023,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, + {file = "pytz-2026.1.post1-py2.py3-none-any.whl", hash = "sha256:f2fd16142fda348286a75e1a524be810bb05d444e5a081f37f7affc635035f7a"}, + {file = "pytz-2026.1.post1.tar.gz", hash = "sha256:3378dde6a0c3d26719182142c56e60c7f9af7e968076f31aae569d72a0358ee1"}, ] [[package]] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index 31faf9ed6845..0a75a714c35c 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -2528,15 +2528,15 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2025.2" +version = "2026.1.post1" description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] markers = "python_version == \"3.10\"" files = [ - {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, - {file = "pytz-2025.2.tar.gz", hash = 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96eab0257160..25ae35bdecfc 100644 --- a/constraints.txt +++ b/constraints.txt @@ -6,3 +6,5 @@ urllib3>=2.6.3 wheel>=0.46.2 # WAR against https://github.com/advisories/GHSA-7gcm-g887-7qv7 protobuf>=6.33.5 +# WAR against https://github.com/advisories/GHSA-6mq8-rvhq-8wgg +aiohttp>=3.13.3 diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 6b050ab4d9aa..57500f20a721 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602261110-11702 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202602261110-11702 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202602261110-11702 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202602261110-11702 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202603011156-11778 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202603011156-11778 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202603011156-11778 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202603011156-11778 diff --git a/requirements-dev.txt b/requirements-dev.txt index 4ff771f9554a..a972122b05aa 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -36,5 +36,5 @@ opentelemetry-api>=1.26.0 opentelemetry-exporter-otlp>=1.26.0 opentelemetry-semantic-conventions-ai>=0.4.1 fuzzywuzzy==0.18.0 -aiperf==0.3.0 +aiperf==0.4.0 nanobind>=2.9.0 diff --git a/requirements.txt b/requirements.txt index 587df89df754..36e5201031c3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -28,7 +28,7 @@ nvidia-modelopt[torch]~=0.37.0 # torch 2.9.1+cu130 depends on nvidia-nccl-cu13==2.27.7 nvidia-nccl-cu13>=2.27.7,<=2.28.9 nvidia-cuda-nvrtc -transformers==4.57.1 +transformers==4.57.3 prometheus_client prometheus_fastapi_instrumentator pydantic>=2.9.1 diff --git a/tensorrt_llm/_torch/auto_deploy/utils/_config.py b/tensorrt_llm/_torch/auto_deploy/utils/_config.py index dab09e9f97fb..3c7c11a8a009 100644 --- a/tensorrt_llm/_torch/auto_deploy/utils/_config.py +++ b/tensorrt_llm/_torch/auto_deploy/utils/_config.py @@ -41,7 +41,8 @@ def __init__(self, *args, **kwargs): "specify the `yaml_default` field in your pydantic model instead." ) - def _read_files(self, files: PathType | None) -> dict[str, Any]: + def _read_files(self, files: PathType | None, **kwargs: Any) -> dict[str, Any]: + """Read and deep-merge YAML files. Accepts deep_merge kwarg for parent API compatibility.""" if files is None: return {} if isinstance(files, (str, os.PathLike)): diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 118268da06e0..0c4eefe79344 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -349,3 +349,4 @@ full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_ full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm_eagle] SKIP (https://nvbugs/5936273) full:GB200/accuracy/test_llm_api_pytorch_multimodal.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm] SKIP (https://nvbugs/5936273) full:DGX_H100/unittest/_torch/auto_deploy/unit/multigpu/transformations/library/test_bmm_sharding.py::test_sharding[1-1] SKIP (https://nvbugs/5936322) +unittest/_torch/modeling -k "modeling_siglip" SKIP (https://nvbugs/5941242) diff --git a/triton_backend/requirements.txt b/triton_backend/requirements.txt index 7daa868ed48b..4375447772cd 100644 --- a/triton_backend/requirements.txt +++ b/triton_backend/requirements.txt @@ -1,7 +1,7 @@ regex fire tritonclient[all] -transformers==4.57.1 +transformers==4.57.3 pandas tabulate flash_attn From 9c53176af7842de830b6ed96e71c21a191b84e53 Mon Sep 17 00:00:00 2001 From: bhsueh_NV <11360707+byshiue@users.noreply.github.com> Date: Wed, 4 Mar 2026 17:45:51 +0800 Subject: [PATCH 185/241] [https://nvbugs/5936273][fix] Fix bugs of Mistral Large3 (#11885) Signed-off-by: bhsueh <11360707+byshiue@users.noreply.github.com> --- tensorrt_llm/tokenizer/tokenizer.py | 5 ++++- tests/integration/test_lists/waives.txt | 3 --- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tensorrt_llm/tokenizer/tokenizer.py b/tensorrt_llm/tokenizer/tokenizer.py index 5d9de307b35f..7c373c462795 100644 --- a/tensorrt_llm/tokenizer/tokenizer.py +++ b/tensorrt_llm/tokenizer/tokenizer.py @@ -38,7 +38,10 @@ class TransformersTokenizer(TokenizerBase): def __init__(self, tokenizer): self.tokenizer = tokenizer - self._all_special_tokens_set = set(self.tokenizer.all_special_tokens) + if hasattr(self.tokenizer, "all_special_tokens"): + self._all_special_tokens_set = set(self.tokenizer.all_special_tokens) + else: + self._all_special_tokens_set = set() def __reduce__(self): # In multi-node scenarios, AutoTokenizer.from_pretrained with diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 0c4eefe79344..8aedc5c18e4d 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -345,8 +345,5 @@ accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/5860520) unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5920779) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-cutlass-auto] SKIP (https://nvbugs/5920771) -full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm] SKIP (https://nvbugs/5936273) -full:GB200/accuracy/test_llm_api_pytorch.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm_eagle] SKIP (https://nvbugs/5936273) -full:GB200/accuracy/test_llm_api_pytorch_multimodal.py::TestMistralLarge3_675B::test_nvfp4_4gpus[latency_moe_trtllm] SKIP (https://nvbugs/5936273) full:DGX_H100/unittest/_torch/auto_deploy/unit/multigpu/transformations/library/test_bmm_sharding.py::test_sharding[1-1] SKIP (https://nvbugs/5936322) unittest/_torch/modeling -k "modeling_siglip" SKIP (https://nvbugs/5941242) From f06eaaa036719d03b554a9efd9d8d3cd32664ece Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Wed, 4 Mar 2026 11:53:01 -0500 Subject: [PATCH 186/241] [https://nvbugs/5949098][doc] Fixing docs links (#11912) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- .../tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md | 2 +- docs/source/features/disagg-serving.md | 2 +- examples/models/core/multimodal/README.md | 2 +- triton_backend/all_models/multimodal/Deprecation_notice.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md b/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md index fef8dcc93a21..ccee8b8585c9 100644 --- a/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md +++ b/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md @@ -124,7 +124,7 @@ In the Dynamo workflow, requests are initially processed by pre- and post-proces Dynamo also includes built-in support for Kubernetes deployment, monitoring, and metrics collection. The development team is actively working on enabling dynamic instance scaling, further enhancing its suitability for production environments. -For more information on how to use Dynamo with TensorRT LLM, please refer to [this documentation](https://docs.nvidia.com/dynamo/latest/backends/trtllm/README.html). +For more information on how to use Dynamo with TensorRT LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm). ### Triton Inference Server diff --git a/docs/source/features/disagg-serving.md b/docs/source/features/disagg-serving.md index 5811a52109fd..2c2fe39995bd 100644 --- a/docs/source/features/disagg-serving.md +++ b/docs/source/features/disagg-serving.md @@ -107,7 +107,7 @@ In the Dynamo workflow, requests are initially processed by pre- and post-proces Dynamo also includes built-in support for Kubernetes deployment, monitoring, and metrics collection. The development team is actively working on enabling dynamic instance scaling, further enhancing its suitability for production environments. -For more information on how to use Dynamo with TensorRT-LLM, please refer to [this documentation](https://docs.nvidia.com/dynamo/latest/backends/trtllm/README.html). +For more information on how to use Dynamo with TensorRT-LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm). ### trtllm-serve diff --git a/examples/models/core/multimodal/README.md b/examples/models/core/multimodal/README.md index 96ba6102a8e7..c82c81f8c8be 100644 --- a/examples/models/core/multimodal/README.md +++ b/examples/models/core/multimodal/README.md @@ -901,7 +901,7 @@ Note that for instruct Vision model, please set the `max_encoder_input_len` as ` ## NeVA -[NeVA](https://docs.nvidia.com/nemo-framework/user-guide/latest/vlms/neva.html) is a groundbreaking addition to the NeMo Multimodal ecosystem. This model seamlessly integrates large language-centric models with a vision encoder, that can be deployed in TensorRT-LLM. +[NeVA](https://docs.nvidia.com/nemo-framework/user-guide/24.12/nemotoolkit/multimodal/mllm/neva.html) is a groundbreaking addition to the NeMo Multimodal ecosystem. This model seamlessly integrates large language-centric models with a vision encoder, that can be deployed in TensorRT-LLM. 1. Generate TRT-LLM engine for NVGPT following example in `examples/models/core/gpt/README.md`. To adhere to the NVGPT conventions of the conversion script, some layer keys have to be remapped using `--nemo_rename_key`. diff --git a/triton_backend/all_models/multimodal/Deprecation_notice.md b/triton_backend/all_models/multimodal/Deprecation_notice.md index ba4ce112acd4..d8d891b066f8 100644 --- a/triton_backend/all_models/multimodal/Deprecation_notice.md +++ b/triton_backend/all_models/multimodal/Deprecation_notice.md @@ -2,6 +2,6 @@ Trition backend with multimodal is deprecated and is no longer maintained. **End of Life:** TensorRT-LLM-V1.2 \ -**Reason:** Retiring support for older multimodal models and migrating to [Dynamo + PyTorch backend](https://docs.nvidia.com/dynamo/latest/backends/trtllm/multimodal_support.html) for newer ones. \ +**Reason:** Retiring support for older multimodal models and migrating to [Dynamo + PyTorch backend](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm#multimodal-support) for newer ones. \ **Action:** Please use `PyTorch LLM backend` instead. \ Check here for the [Supporting Matrix](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/models/supported-models.md#multimodal-feature-support-matrix-pytorch-backend). From 9f32f4818712cd794127d39770f4ab5c1cc41822 Mon Sep 17 00:00:00 2001 From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com> Date: Thu, 5 Mar 2026 10:20:41 +0800 Subject: [PATCH 187/241] [None][doc] Replace the TensorRT-LLM with TensorRT LLM (#11914) Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> --- .../configuring-cpu-affinity.md | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/source/deployment-guide/configuring-cpu-affinity.md b/docs/source/deployment-guide/configuring-cpu-affinity.md index daccaf4e65ff..01ca2c0bb6f3 100644 --- a/docs/source/deployment-guide/configuring-cpu-affinity.md +++ b/docs/source/deployment-guide/configuring-cpu-affinity.md @@ -1,17 +1,17 @@ -# CPU Affinity configuration in TensorRT-LLM +# CPU Affinity configuration in TensorRT LLM -## NUMA-aware affinity in TensorRT-LLM +## NUMA-aware affinity in TensorRT LLM -TensorRT-LLM is frequently deployed on +TensorRT LLM is frequently deployed on [NUMA](https://en.wikipedia.org/wiki/Non-uniform_memory_access) systems. In order to ensure consistent and optimal performance on these systems, it is critical to set the CPU affinity of the workers/tasks launched as part of a -particular TRT-LLM instance so as to minimize latency and maximize bandwidth of +particular TensorRT LLM instance so as to minimize latency and maximize bandwidth of CPU↔GPU and CPU↔DRAM communication. -Because TensorRT-LLM does the work of allocating GPU/CUDA devices to ranks, it +Because TensorRT LLM does the work of allocating GPU/CUDA devices to ranks, it is logically the ideal place for the CPU affinity to be determined and set. For -this reason, TensorRT-LLM provides a mechanism to automatically set CPU +this reason, TensorRT LLM provides a mechanism to automatically set CPU affinity according to NUMA topology. In some situations/deployments, the user may wish to configure CPU affinity manually (i.e. using [numactl](https://github.com/numactl/numactl), [wrappers around the @@ -32,7 +32,7 @@ environment variable as follows: ## Other environmental considerations Whether or not the user chooses to manually configure CPU affinity or have -TensorRT-LLM configure it automatically, the environment can also constrain the +TensorRT LLM configure it automatically, the environment can also constrain the CPU affinity in a way that subverts the user's intent. Both OpenMPI and Slurm may configure CPU affinity, so the following additional configuration is recommended to avoid this. @@ -41,7 +41,7 @@ recommended to avoid this. By default, OpenMPI chooses a rank-wise CPU affinity that is not sensitized to the NUMA-topology of the system. Because it does not know which GPU a -particular rank will be communicating with (this is determined by TRT-LLM at +particular rank will be communicating with (this is determined by TensorRT LLM at runtime), it cannot set the CPU affinity accordingly. For this reason, it is recommended that OpenMPI's default binding policy be disabled as follows: @@ -54,7 +54,7 @@ The first environment variable ensures that OpenMPI will not attempt to bind or set the affinity of the ranks that are created at launch. The second ensures that OpenMPI's binding policy will propagate to MPI workers -that are spawned by `mpi4py`'s `MPIPoolExecutor` class within TensorRT-LLM +that are spawned by `mpi4py`'s `MPIPoolExecutor` class within TensorRT LLM (when using mpirun). ### Slurm @@ -86,7 +86,7 @@ Note: if this environment variable is set, it is not necessary to supply the ### Using NUMA-aware autoconfiguration -To explicitly enable the NUMA-aware autoconfiguration feature in TensorRT-LLM, +To explicitly enable the NUMA-aware autoconfiguration feature in TensorRT LLM, simply set `TLLM_NUMA_AWARE_WORKER_AFFINITY` in the launch script (prior to `trtllm-bench` or `trtllm-serve`) as follows: @@ -94,7 +94,7 @@ simply set `TLLM_NUMA_AWARE_WORKER_AFFINITY` in the launch script (prior to export TLLM_NUMA_AWARE_WORKER_AFFINITY=1 ``` -Because autoconfiguration happens within TensorRT-LLM itself, it will override +Because autoconfiguration happens within TensorRT LLM itself, it will override any CPU affinity or binding that has been previously set by OpenMPI or Slurm. ### NUMA-aware CPU affinity using [bindpcie](https://github.com/NVIDIA/mlperf-common/blob/main/client/bindpcie) @@ -103,9 +103,9 @@ The bindpcie script is designed to set a per-rank CPU affinity that is ideal for NUMA topology. While setting `TLLM_NUMA_AWARE_WORKER_AFFINITY=1` usually achieves the same result in terms of the CPU affinity that is set, this approach has the distinct advantage that the optimal CPU affinity gets set -_upon launching_ TensorRT-LLM, guaranteeing that each worker/rank executes on +_upon launching_ TensorRT LLM, guaranteeing that each worker/rank executes on the optimal NUMA node from inception. The NUMA-aware CPU affinity -autoconfiguration mechanism in TensorRT-LLM, on the other hand, is triggered by +autoconfiguration mechanism in TensorRT LLM, on the other hand, is triggered by each worker/rank upon its own PID _after_ it has already launched. If the worker/rank executes on a NUMA node other than the optimal NUMA node at some point between the launch of the process and the NUMA-aware autoconfiguration, @@ -120,7 +120,7 @@ The `bindpcie` script can only be applied to deployments that make use of bindpcie to `trtllm-serve` in an sbatch script is as follows: ```bash -# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +# Prevent TensorRT LLM from autoconfiguring or clearing CPU affinity export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 # Prevent OpenMPI from overriding affinity set by bindpcie @@ -157,7 +157,7 @@ srun -l \ ### Using [numactl](https://github.com/numactl/numactl) ```bash -# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +# Prevent TensorRT LLM from autoconfiguring or clearing CPU affinity export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 # Prevent OpenMPI from overriding affinity set by numactl @@ -180,7 +180,7 @@ rankfile. The following is an example of how a rankfile can be used to arbitrarily map each of 4 MPI ranks to a distinct set of 4 cores: ```bash -# Prevent TensorRT-LLM from autoconfiguring or clearing CPU affinity +# Prevent TensorRT LLM from autoconfiguring or clearing CPU affinity export TLLM_NUMA_AWARE_WORKER_AFFINITY=0 # Not strictly needed here, since we are overriding with explicit bindings from From 3d97567f269bfb620d4b1f0cd70654becfe1824a Mon Sep 17 00:00:00 2001 From: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> Date: Thu, 5 Mar 2026 11:02:14 +0800 Subject: [PATCH 188/241] [None][chore] Fix/disagg perf failure detection (#11904) Signed-off-by: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> --- .../defs/perf/disagg/execution/executor.py | 19 +++++++++++-- .../defs/perf/disagg/reporting/report.py | 27 ++++++++++++++++--- 2 files changed, 41 insertions(+), 5 deletions(-) diff --git a/tests/integration/defs/perf/disagg/execution/executor.py b/tests/integration/defs/perf/disagg/execution/executor.py index 8e816fecdc11..b5f2e62d69f1 100644 --- a/tests/integration/defs/perf/disagg/execution/executor.py +++ b/tests/integration/defs/perf/disagg/execution/executor.py @@ -728,12 +728,18 @@ def _check_perf_result( result["error"] = error_msg return result - # Parse metrics and save to CSV + # Parse metrics and save to CSV (LogParser reads file once, also extracts failed/total) log_parser = LogParser(benchmark_type, config, metrics_config, result_dir) parse_result = log_parser.parse(model_name, timestamps=timestamps, test_name=test_name) + failed_requests = parse_result.get("failed_requests", 0) + total_requests = parse_result.get("total_requests", 0) + if not parse_result["status"]: - result["error"] = "Failed to parse benchmark logs" + error_msg = "Failed to parse benchmark logs" + if failed_requests > 0: + error_msg += f" ({failed_requests}/{total_requests} requests failed)" + result["error"] = error_msg return result # Check if df is None @@ -753,6 +759,15 @@ def _check_perf_result( result["success"] = True result["status"] = "SUCCESS" + + # Override success if any requests failed (metrics still saved for analysis) + if failed_requests > 0: + error_msg = f"Benchmark had {failed_requests}/{total_requests} failed requests" + logger.error(error_msg) + result["success"] = False + result["status"] = "FAILED" + result["error"] = error_msg + return result @staticmethod diff --git a/tests/integration/defs/perf/disagg/reporting/report.py b/tests/integration/defs/perf/disagg/reporting/report.py index 8bfc9bde2e9b..a16fff010389 100644 --- a/tests/integration/defs/perf/disagg/reporting/report.py +++ b/tests/integration/defs/perf/disagg/reporting/report.py @@ -82,23 +82,44 @@ def parse( if not os.path.exists(log_file_name): logger.error(f"Log file not found: {log_file_name}") - return {"status": False, "df": None} + return {"status": False, "df": None, "failed_requests": 0, "total_requests": 0} with open(log_file_name, "r", encoding="utf-8", errors="replace") as log_file: log_content = log_file.read() + # Extract failed/total request counts from log (for executor to mark failed cases) + # Use findall + last match to handle multi-concurrency logs correctly + failed_requests = 0 + total_requests = 0 + failed_matches = re.findall(r"Total failed requests:\s*(\d+)", log_content) + total_matches = re.findall(r"Total requests:\s*(\d+)", log_content) + if failed_matches: + failed_requests = int(failed_matches[-1]) + if total_matches: + total_requests = int(total_matches[-1]) + # Use metrics_config for extraction raw_results = self._extract_log( self.metrics_config.extractor_pattern, self.metrics_config.metric_names, log_content ) if len(raw_results) == 0: logger.warning("No metrics extracted from log file") - return {"status": False, "df": None} + return { + "status": False, + "df": None, + "failed_requests": failed_requests, + "total_requests": total_requests, + } # Convert to perf result format df = self._convert_to_perf_result_format(raw_results, model_name, timestamps, test_name) - return {"status": True, "df": df} + return { + "status": True, + "df": df, + "failed_requests": failed_requests, + "total_requests": total_requests, + } def _convert_to_perf_result_format( self, From 36e34eeffce6af28b60719a0be7dff7c7ebe01a7 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 5 Mar 2026 04:35:03 +0000 Subject: [PATCH 189/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 45 ++++-------- .../llm-eval/lm-eval-harness/poetry.lock | 45 ++++-------- .../models/contrib/baichuan/poetry.lock | 31 +++----- .../models/contrib/falcon/poetry.lock | 31 +++----- .../examples/models/contrib/grok/poetry.lock | 48 +++++++++++-- .../examples/models/contrib/mmdit/poetry.lock | 31 +++----- .../examples/models/contrib/stdit/poetry.lock | 31 +++----- .../examples/models/core/gemma/poetry.lock | 40 +++++++++++ .../examples/models/core/llama/poetry.lock | 31 +++----- .../examples/models/core/mamba/poetry.lock | 31 +++----- .../examples/models/core/qwen/poetry.lock | 31 +++----- .../models/core/qwen2audio/poetry.lock | 31 +++----- .../examples/models/core/qwenvl/poetry.lock | 31 +++----- .../models/core/recurrentgemma/poetry.lock | 71 +++++++++++++------ .../examples/models/core/whisper/poetry.lock | 33 +++------ .../models/core/whisper/pyproject.toml | 2 +- .../examples/quantization/poetry.lock | 31 +++----- .../examples/ray_orchestrator/poetry.lock | 38 +++++----- security_scanning/examples/serve/poetry.lock | 37 +++------- .../examples/trtllm-eval/poetry.lock | 45 ++++-------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 22 +++--- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 16 ++--- .../triton_backend/pyproject.toml | 4 +- 25 files changed, 321 insertions(+), 441 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index ecfadca545b8..ec9c2a4d91ab 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "accelerate" -version = "1.12.0" +version = "1.13.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, - {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, + {file = "accelerate-1.13.0-py3-none-any.whl", hash = "sha256:cf1a3efb96c18f7b152eb0fa7490f3710b19c3f395699358f08decca2b8b62e0"}, + {file = "accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236"}, ] [package.dependencies] @@ -3700,14 +3700,14 @@ test = ["pytablewriter (>=0.46)", "pytest"] [[package]] name = "tabulate" -version = "0.9.0" +version = "0.10.0" description = "Pretty-print tabular data" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] @@ -4019,14 +4019,14 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -4038,7 +4038,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -4048,8 +4048,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -4057,14 +4057,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -4141,21 +4141,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index ed0e320d55cc..071308a6b4d2 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "accelerate" -version = "1.12.0" +version = "1.13.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, - {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, + {file = "accelerate-1.13.0-py3-none-any.whl", hash = "sha256:cf1a3efb96c18f7b152eb0fa7490f3710b19c3f395699358f08decca2b8b62e0"}, + {file = "accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236"}, ] [package.dependencies] @@ -3443,14 +3443,14 @@ test = ["pytablewriter (>=0.46)", "pytest"] [[package]] name = "tabulate" -version = "0.9.0" +version = "0.10.0" description = "Pretty-print tabular data" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] @@ -3731,14 +3731,14 @@ dev = ["twine"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -3750,7 +3750,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -3760,8 +3760,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels 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+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3769,14 +3769,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", 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"rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -3853,21 +3853,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 30b667394683..8e06970bd5f7 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -2193,14 +2193,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2212,7 +2212,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2222,8 +2222,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff 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"pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2231,14 +2231,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2277,21 +2277,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index b5036f3cac76..bf75abfdb74c 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -2098,14 +2098,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2117,7 +2117,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2127,8 +2127,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff 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"pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2136,14 +2136,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2168,21 +2168,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 8fa3ee1603e2..4753574603f8 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -512,6 +512,7 @@ description = "Collection of common python utils" optional = false python-versions = ">=3.10" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -543,6 +544,44 @@ etree-jax = ["etils[etree]", "jax[cpu]"] etree-tf = ["etils[etree]", "tensorflow"] lazy-imports = ["etils[ecolab]"] +[[package]] +name = "etils" +version = "1.14.0" +description = "Collection of common python utils" +optional = false +python-versions = ">=3.11" +groups = ["main"] +markers = "python_version >= \"3.11\"" +files = [ + {file = "etils-1.14.0-py3-none-any.whl", hash = "sha256:b5df7341f54dbe1405a4450b2741207b4a8c279780402b45f87202b94dfc52b4"}, + {file = "etils-1.14.0.tar.gz", hash = "sha256:8136e7f4c4173cd0af0ca5481c4475152f0b8686192951eefa60ee8711e1ede4"}, +] + +[package.dependencies] +fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} +zipp = {version = "*", optional = true, markers = "extra == \"epath\""} + +[package.extras] +all = ["etils[array-types]", "etils[eapp]", "etils[ecolab]", "etils[edc]", "etils[enp]", "etils[epath-gcs]", "etils[epath-s3]", "etils[epath]", "etils[epy]", "etils[etqdm]", "etils[etree-dm]", "etils[etree-jax]", "etils[etree-tf]", "etils[etree]"] +array-types = ["etils[enp]"] +dev = ["chex", "fiddle", "optree", "pydantic", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-subtests", "pytest-xdist", "tensorflow_datasets", "torch"] +docs = ["etils[all,dev]", "sphinx-apitree[ext]"] +eapp = ["absl-py", "etils[epy]", "simple_parsing"] +ecolab = ["etils[enp]", "etils[epy]", "etils[etree]", "jupyter", "mediapy", "numpy", "packaging", "protobuf"] +edc = ["etils[epy]"] +enp = ["einops", "etils[epy]", "numpy"] +epath = ["etils[epy]", "fsspec", "typing_extensions", "zipp"] +epath-gcs = ["etils[epath]", "gcsfs"] +epath-s3 = ["etils[epath]", "s3fs"] +epy = ["typing_extensions"] +etqdm = ["absl-py", "etils[epy]", "tqdm"] +etree = ["etils[array-types]", "etils[enp]", "etils[epy]", "etils[etqdm]"] +etree-dm = ["dm-tree", "etils[etree]"] +etree-jax = ["etils[etree]", "jax[cpu]"] +etree-tf = ["etils[etree]", "tensorflow"] +lazy-imports = ["etils[ecolab]"] + [[package]] name = "evaluate" version = "0.4.6" @@ -996,6 +1035,7 @@ description = "Read resources from Python packages" optional = false python-versions = ">=3.9" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, @@ -2843,14 +2883,14 @@ files = [ [[package]] name = "tabulate" -version = "0.9.0" +version = "0.10.0" description = "Pretty-print tabular data" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 13233d4c60e0..e2ff09a48d0c 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -1085,14 +1085,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -1104,7 +1104,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -1114,8 +1114,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score 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"pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -1123,14 +1123,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -1155,21 +1155,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 735e1ed0f331..ea9387bbbb3c 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2420,14 +2420,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2439,7 +2439,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2449,8 +2449,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2458,14 +2458,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2520,21 +2520,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index ad29c22def08..35a6a577e2dd 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -481,6 +481,7 @@ description = "Collection of common python utils" optional = false python-versions = ">=3.10" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -512,6 +513,44 @@ etree-jax = ["etils[etree]", "jax[cpu]"] etree-tf = ["etils[etree]", "tensorflow"] lazy-imports = ["etils[ecolab]"] +[[package]] +name = "etils" +version = "1.14.0" +description = "Collection of common python utils" +optional = false +python-versions = ">=3.11" +groups = ["main"] +markers = "python_version >= \"3.11\"" +files = [ + {file = "etils-1.14.0-py3-none-any.whl", hash = "sha256:b5df7341f54dbe1405a4450b2741207b4a8c279780402b45f87202b94dfc52b4"}, + {file = "etils-1.14.0.tar.gz", hash = "sha256:8136e7f4c4173cd0af0ca5481c4475152f0b8686192951eefa60ee8711e1ede4"}, +] + +[package.dependencies] +fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} +zipp = {version = "*", optional = true, markers = "extra == \"epath\""} + +[package.extras] +all = ["etils[array-types]", "etils[eapp]", "etils[ecolab]", "etils[edc]", "etils[enp]", "etils[epath-gcs]", "etils[epath-s3]", "etils[epath]", "etils[epy]", "etils[etqdm]", "etils[etree-dm]", "etils[etree-jax]", "etils[etree-tf]", "etils[etree]"] +array-types = ["etils[enp]"] +dev = ["chex", "fiddle", "optree", "pydantic", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-subtests", "pytest-xdist", "tensorflow_datasets", "torch"] +docs = ["etils[all,dev]", "sphinx-apitree[ext]"] +eapp = ["absl-py", "etils[epy]", "simple_parsing"] +ecolab = ["etils[enp]", "etils[epy]", "etils[etree]", "jupyter", "mediapy", "numpy", "packaging", "protobuf"] +edc = ["etils[epy]"] +enp = ["einops", "etils[epy]", "numpy"] +epath = ["etils[epy]", "fsspec", "typing_extensions", "zipp"] +epath-gcs = ["etils[epath]", "gcsfs"] +epath-s3 = ["etils[epath]", "s3fs"] +epy = ["typing_extensions"] +etqdm = ["absl-py", "etils[epy]", "tqdm"] +etree = ["etils[array-types]", "etils[enp]", "etils[epy]", "etils[etqdm]"] +etree-dm = ["dm-tree", "etils[etree]"] +etree-jax = ["etils[etree]", "jax[cpu]"] +etree-tf = ["etils[etree]", "tensorflow"] +lazy-imports = ["etils[ecolab]"] + [[package]] name = "exceptiongroup" version = "1.3.1" @@ -966,6 +1005,7 @@ description = "Read resources from Python packages" optional = false python-versions = ">=3.9" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 09be262e0d01..ba00339ab498 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -2098,14 +2098,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2117,7 +2117,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2127,8 +2127,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk 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(>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2136,14 +2136,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2168,21 +2168,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index b0e416bf486b..b2c67b725ecd 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -2098,14 +2098,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2117,7 +2117,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2127,8 +2127,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu 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(>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2136,14 +2136,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2168,21 +2168,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 18f8523470a5..3f3a9015e095 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -3125,14 +3125,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -3144,7 +3144,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -3154,8 +3154,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", 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"rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3163,14 +3163,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest 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Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 9f19fc4ce2d5..9da713c96e33 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -2268,14 +2268,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2287,7 +2287,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2297,8 +2297,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff 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"pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", 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(>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2306,14 +2306,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets 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Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index 92fb66975b6f..7fb09586cbf0 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -3457,14 +3457,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -3476,7 +3476,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -3486,8 +3486,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath 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"pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3495,14 +3495,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -3571,21 +3571,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index b6fa5cb84453..34b416fb8f12 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -502,6 +502,7 @@ description = "Collection of common python utils" optional = false python-versions = ">=3.10" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"}, {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"}, @@ -533,6 +534,44 @@ etree-jax = ["etils[etree]", "jax[cpu]"] etree-tf = ["etils[etree]", "tensorflow"] lazy-imports = ["etils[ecolab]"] +[[package]] +name = "etils" +version = "1.14.0" +description = "Collection of common python utils" +optional = false +python-versions = ">=3.11" +groups = ["main"] +markers = "python_version >= \"3.11\"" +files = [ + {file = "etils-1.14.0-py3-none-any.whl", hash = "sha256:b5df7341f54dbe1405a4450b2741207b4a8c279780402b45f87202b94dfc52b4"}, + {file = "etils-1.14.0.tar.gz", hash = "sha256:8136e7f4c4173cd0af0ca5481c4475152f0b8686192951eefa60ee8711e1ede4"}, +] + +[package.dependencies] +fsspec = {version = "*", optional = true, markers = "extra == \"epath\""} +typing_extensions = {version = "*", optional = true, markers = "extra == \"epath\" or extra == \"epy\""} +zipp = {version = "*", optional = true, markers = "extra == \"epath\""} + +[package.extras] +all = ["etils[array-types]", "etils[eapp]", "etils[ecolab]", "etils[edc]", "etils[enp]", "etils[epath-gcs]", "etils[epath-s3]", "etils[epath]", "etils[epy]", "etils[etqdm]", "etils[etree-dm]", "etils[etree-jax]", "etils[etree-tf]", "etils[etree]"] +array-types = ["etils[enp]"] +dev = ["chex", "fiddle", "optree", "pydantic", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-subtests", "pytest-xdist", "tensorflow_datasets", "torch"] +docs = ["etils[all,dev]", "sphinx-apitree[ext]"] +eapp = ["absl-py", "etils[epy]", "simple_parsing"] +ecolab = ["etils[enp]", "etils[epy]", "etils[etree]", "jupyter", "mediapy", "numpy", "packaging", "protobuf"] +edc = ["etils[epy]"] +enp = ["einops", "etils[epy]", "numpy"] +epath = ["etils[epy]", "fsspec", "typing_extensions", "zipp"] +epath-gcs = ["etils[epath]", "gcsfs"] +epath-s3 = ["etils[epath]", "s3fs"] +epy = ["typing_extensions"] +etqdm = ["absl-py", "etils[epy]", "tqdm"] +etree = ["etils[array-types]", "etils[enp]", "etils[epy]", "etils[etqdm]"] +etree-dm = ["dm-tree", "etils[etree]"] +etree-jax = ["etils[etree]", "jax[cpu]"] +etree-tf = ["etils[etree]", "tensorflow"] +lazy-imports = ["etils[ecolab]"] + [[package]] name = "evaluate" version = "0.4.6" @@ -971,6 +1010,7 @@ description = "Read resources from Python packages" optional = false python-versions = ">=3.9" groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"}, {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"}, @@ -2799,14 +2839,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2818,7 +2858,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2828,8 +2868,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -2837,14 +2877,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -2906,21 +2946,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index 0a75a714c35c..7d8c51ae5c9d 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -3453,14 +3453,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -3472,7 +3472,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -3482,8 +3482,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "libcst", "librosa", "mistral-common[image] (>=1.8.8)", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "num2words", "openai (>=1.98.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3491,14 +3491,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -3553,21 +3553,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" @@ -3907,4 +3892,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "796806d7e9f24379a2ef5f6fa0e5cddc8d78674b5edc9fd7b749213b94cb6cbd" +content-hash = "49a4ccf97be20e31c2b5a1c8ec4ff3e8ba6903d9b4483bfd94140b6fdc5953f1" diff --git a/security_scanning/examples/models/core/whisper/pyproject.toml b/security_scanning/examples/models/core/whisper/pyproject.toml index 54fefdc6cd29..9833940a1903 100644 --- a/security_scanning/examples/models/core/whisper/pyproject.toml +++ b/security_scanning/examples/models/core/whisper/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "librosa (>=0.11.0,<0.12.0)", "soundfile (>=0.13.1,<0.14.0)", "safetensors (>=0.7.0,<0.8.0)", - "transformers (>=5.2.0,<6.0.0)", + "transformers (>=5.3.0,<6.0.0)", "janus (>=2.0.0,<3.0.0)" ] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 1a492ed7b6d8..c9642d75a66f 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -2159,14 +2159,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, + {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, ] [package.dependencies] @@ -2178,7 +2178,7 @@ regex = "!=2019.12.17" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" -typer-slim = "*" +typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] @@ -2188,8 +2188,8 @@ benchmark = ["optimum-benchmark (>=0.3.0)"] chat-template = ["jinja2 (>=3.1.0)", "jmespath (>=1.0.1)"] codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=1.1.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "optuna", "parameterized (>=0.9)", "protobuf", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "accelerate (>=1.1.0)", "av", "beautifulsoup4", "blobfile", "datasets (>=2.15.0)", 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"sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -4069,14 +4069,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", 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Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index b18657fe45aa..38d7febf5fc9 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "accelerate" -version = "1.12.0" +version = "1.13.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "accelerate-1.12.0-py3-none-any.whl", hash = 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{file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] @@ -3733,14 +3733,14 @@ dev = ["twine"] [[package]] name = "transformers" -version = "5.2.0" +version = "5.3.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4"}, - {file = "transformers-5.2.0.tar.gz", hash = "sha256:0088b8b46ccc9eff1a1dca72b5d618a5ee3b1befc3e418c9512b35dea9f9a650"}, + {file = "transformers-5.3.0-py3-none-any.whl", hash = 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(>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tiktoken", "timeout-decorator", "timm (>=1.0.23)", "torch (>=2.4)", "torch (>=2.4)", "torchaudio", "torchvision", "ty (==0.0.12)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.10.2,<0.11)", "optuna", "ray[tune] (>=2.7.0)"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] kernels = ["kernels (>=0.10.2,<0.11)"] @@ -3771,14 +3771,14 @@ mistral-common = ["mistral-common[image] (>=1.8.8)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] @@ -3855,21 +3855,6 @@ click = ">=8.2.1" rich = ">=12.3.0" shellingham = ">=1.3.0" -[[package]] -name = "typer-slim" -version = "0.24.0" -description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -optional = false -python-versions = ">=3.10" -groups = ["main"] -files = [ - {file = "typer_slim-0.24.0-py3-none-any.whl", hash = "sha256:d5d7ee1ee2834d5020c7c616ed5e0d0f29b9a4b1dd283bdebae198ec09778d0e"}, - {file = "typer_slim-0.24.0.tar.gz", hash = "sha256:f0ed36127183f52ae6ced2ecb2521789995992c521a46083bfcdbb652d22ad34"}, -] - -[package.dependencies] -typer = ">=0.24.0" - [[package]] name = "typing-extensions" version = "4.15.0" diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index c61cb1bd832e..d9fa23b30087 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "96c09fbd09c56073cfa3148b7438c84a88788404", - "timestamp": "2026-03-04T04:02:50Z" + "commit_hash": "3d97567f269bfb620d4b1f0cd70654becfe1824a", + "timestamp": "2026-03-05T04:03:01Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index cad8cb28b408..c6db2e83046c 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -2,14 +2,14 @@ [[package]] name = "accelerate" -version = "1.12.0" +version = "1.13.0" description = "Accelerate" optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11"}, - {file = "accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6"}, + {file = "accelerate-1.13.0-py3-none-any.whl", hash = "sha256:cf1a3efb96c18f7b152eb0fa7490f3710b19c3f395699358f08decca2b8b62e0"}, + {file = "accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236"}, ] [package.dependencies] @@ -5823,14 +5823,14 @@ dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] [[package]] name = "tabulate" -version = "0.9.0" +version = "0.10.0" description = "Pretty-print tabular data" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] @@ -6296,14 +6296,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.1" +version = "4.57.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "transformers-4.57.1-py3-none-any.whl", hash = "sha256:b10d05da8fa67dc41644dbbf9bc45a44cb86ae33da6f9295f5fbf5b7890bd267"}, - {file = "transformers-4.57.1.tar.gz", hash = "sha256:f06c837959196c75039809636cd964b959f6604b75b8eeec6fdfc0440b89cc55"}, + {file = "transformers-4.57.3-py3-none-any.whl", hash = "sha256:c77d353a4851b1880191603d36acb313411d3577f6e2897814f333841f7003f4"}, + {file = "transformers-4.57.3.tar.gz", hash = "sha256:df4945029aaddd7c09eec5cad851f30662f8bd1746721b34cc031d70c65afebc"}, ] [package.dependencies] @@ -6839,4 +6839,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "d42fb8dbc70d2e980bb804155630d003cb18a6ffb9cbfe581bc9caaa42bf2986" +content-hash = "a10a5e6d3eb0d66e2127e8f3f16c705035fda27eb1a537aa0e09c8569096a5a2" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 777a4a27e958..1879a27796f6 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -31,7 +31,7 @@ dependencies = [ "nvidia-modelopt[torch] (>=0.37.0,<0.38.0)", "nvidia-nccl-cu13 (>=2.27.7,<=2.28.9)", "nvidia-cuda-nvrtc (>=13.1.115,<14.0.0)", - "transformers (==4.57.1)", + "transformers (==4.57.3)", "prometheus-client (>=0.24.1,<0.25.0)", "prometheus-fastapi-instrumentator (>=7.1.0,<8.0.0)", "pydantic (>=2.9.1)", diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index f6d229effe7f..e37a84b220c8 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -1992,14 +1992,14 @@ torch = ["packaging", "safetensors[numpy]", "torch (>=1.10)"] [[package]] name = "tabulate" -version = "0.9.0" +version = "0.10.0" description = "Pretty-print tabular data" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3"}, + {file = "tabulate-0.10.0.tar.gz", hash = "sha256:e2cfde8f79420f6deeffdeda9aaec3b6bc5abce947655d17ac662b126e48a60d"}, ] [package.extras] @@ -2101,14 +2101,14 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.57.1" +version = "4.57.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "transformers-4.57.1-py3-none-any.whl", hash = "sha256:b10d05da8fa67dc41644dbbf9bc45a44cb86ae33da6f9295f5fbf5b7890bd267"}, - {file = "transformers-4.57.1.tar.gz", hash = "sha256:f06c837959196c75039809636cd964b959f6604b75b8eeec6fdfc0440b89cc55"}, + {file = "transformers-4.57.3-py3-none-any.whl", hash = "sha256:c77d353a4851b1880191603d36acb313411d3577f6e2897814f333841f7003f4"}, + {file = "transformers-4.57.3.tar.gz", hash = "sha256:df4945029aaddd7c09eec5cad851f30662f8bd1746721b34cc031d70c65afebc"}, ] [package.dependencies] @@ -2444,4 +2444,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "3dc9bf8cacb4756bbb33f1fe602981decf1a582846fe37eac51ec42a6077f5e5" +content-hash = "cf300be248b685ba0d45a682bf08209d1793afd81ed57faac2357a8adcc4d304" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index d2540d115762..924b626aacfa 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -10,8 +10,8 @@ dependencies = [ "regex (>=2026.2.28,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", "tritonclient[all] (>=2.66.0,<3.0.0)", - "transformers (==4.57.1)", - "tabulate (>=0.9.0,<0.10.0)", + "transformers (==4.57.3)", + "tabulate (>=0.10.0,<0.11.0)", "torchao (>=0.14.1)" ] From 14bf96bb2037b3399839843faaf152df14a3eada Mon Sep 17 00:00:00 2001 From: ruodil <200874449+ruodil@users.noreply.github.com> Date: Fri, 6 Mar 2026 10:36:39 +0800 Subject: [PATCH 190/241] [None][test] cherry-pick: add concurrency override and fix for 128k8k cases (#11853) Signed-off-by: Ruodi Lu Co-authored-by: Ruodi Lu --- ...128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml | 6 +++--- .../integration/defs/perf/disagg/utils/config_loader.py | 9 +++++++++ 2 files changed, 12 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml index 238aa8b6effe..3f9ef0ebaa12 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml @@ -44,10 +44,10 @@ accuracy: enable_accuracy_test: false worker_config: gen: - tensor_parallel_size: 8 - moe_expert_parallel_size: 8 + tensor_parallel_size: 4 + moe_expert_parallel_size: 4 enable_attention_dp: false - pipeline_parallel_size: 4 + pipeline_parallel_size: 1 max_batch_size: 1 # mtp_size=3 ⇒ max_num_tokens = 1 * (3 + 1) = 4 max_num_tokens: 4 diff --git a/tests/integration/defs/perf/disagg/utils/config_loader.py b/tests/integration/defs/perf/disagg/utils/config_loader.py index b7ff18d4d5e5..14a5729b3f18 100644 --- a/tests/integration/defs/perf/disagg/utils/config_loader.py +++ b/tests/integration/defs/perf/disagg/utils/config_loader.py @@ -346,6 +346,15 @@ def _load_config_file(self, yaml_path: Path, test_type: str, test_category: str) # Override config with environment variables (in memory only, do not write back) config_data = self._apply_env_overrides(config_data, model_name) + # Apply concurrency override if DISAGG_CONCURRENCY_OVERRIDE is set + # This enables running a single test case with a specific concurrency level + # e.g., DISAGG_CONCURRENCY_OVERRIDE=2048 will override concurrency_list to "2048" + concurrency_override = os.getenv("DISAGG_CONCURRENCY_OVERRIDE", "") + if concurrency_override: + original = config_data.get("benchmark", {}).get("concurrency_list", "") + config_data["benchmark"]["concurrency_list"] = concurrency_override + logger.info(f"Concurrency overridden: '{original}' -> '{concurrency_override}'") + # Generate benchmark_type from sequence configuration benchmark_type = self._generate_benchmark_type(config_data) From df5d8319ff00b9a456500f0494c9f9253c86f1ed Mon Sep 17 00:00:00 2001 From: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com> Date: Fri, 6 Mar 2026 12:10:14 +0800 Subject: [PATCH 191/241] [None][infra] Waive 3 failed cases for release/1.2 in post-merge 40 (#11893) Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index 8aedc5c18e4d..f114877f0331 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -346,4 +346,7 @@ accuracy/test_cli_flow.py::TestGpt2::test_cuda_graph SKIP (https://nvbugs/586052 unittest/_torch/flashinfer/test_trtllm_flashinfer_symbol_collision.py::test_flashinfer_fused_moe_matches_torch_moe SKIP (https://nvbugs/5920779) accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[dp4-cutlass-auto] SKIP (https://nvbugs/5920771) full:DGX_H100/unittest/_torch/auto_deploy/unit/multigpu/transformations/library/test_bmm_sharding.py::test_sharding[1-1] SKIP (https://nvbugs/5936322) +accuracy/test_llm_api_pytorch.py::TestLlama3_1_8B_Instruct_RocketKV::test_auto_dtype SKIP (https://nvbugs/5948493) +accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=4] SKIP (https://nvbugs/5948684) +accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4_4gpus[latency_moe_cutlass] SKIP (https://nvbugs/5948709) unittest/_torch/modeling -k "modeling_siglip" SKIP (https://nvbugs/5941242) From e8b1956c9818251f869ac9ddd79d854e81f49adb Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 6 Mar 2026 04:35:04 +0000 Subject: [PATCH 192/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 6 +- .../examples/models/contrib/mmdit/poetry.lock | 12 +- .../examples/models/contrib/stdit/poetry.lock | 166 +++++++++-------- .../examples/models/core/qwen/poetry.lock | 46 ++--- .../examples/models/core/qwen/pyproject.toml | 2 +- .../examples/models/core/whisper/poetry.lock | 6 +- .../examples/ray_orchestrator/poetry.lock | 172 ++++++++++-------- security_scanning/examples/serve/poetry.lock | 6 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 20 +- security_scanning/pyproject.toml | 2 +- 11 files changed, 237 insertions(+), 205 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index ed6e03e3fcf1..33f100adc224 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.24.0" +version = "2.26.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.24.0-py3-none-any.whl", hash = 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[[package]] name = "diffusers" -version = "0.36.0" +version = "0.37.0" description = "State-of-the-art diffusion in PyTorch and JAX." optional = false -python-versions = ">=3.8.0" +python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "diffusers-0.36.0-py3-none-any.whl", hash = "sha256:525d42abc74bfc3b2db594999961295c054b48ef40a11724dacf50e6abd1af98"}, - {file = "diffusers-0.36.0.tar.gz", hash = "sha256:a9cde8721b415bde6a678f2d02abb85396487e1b0e0d2b4abb462d14a9825ab0"}, + {file = "diffusers-0.37.0-py3-none-any.whl", hash = "sha256:7eab74bf896974250b5e1027cae813aba1004f02d97c9b44891b83713386aa08"}, + {file = "diffusers-0.37.0.tar.gz", hash = "sha256:408789af73898585f525afd07ca72b3955affea4216a669558e9f59b5b1fe704"}, ] [package.dependencies] @@ -1179,14 +1179,14 @@ safetensors = ">=0.3.1" [package.extras] bitsandbytes = ["accelerate (>=0.31.0)", "bitsandbytes (>=0.43.3)"] -dev = ["GitPython (<3.1.19)", "Jinja2", "Jinja2", "accelerate (>=0.31.0)", "accelerate (>=0.31.0)", "compel (==0.1.8)", "datasets", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)", "k-diffusion (==0.0.12)", "librosa", "parameterized", "peft (>=0.17.0)", "phonemizer", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.9.10)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tiktoken (>=0.7.0)", "timm", "torch (>=1.4)", "torchvision", "transformers (>=4.41.2)", "urllib3 (<=2.0.0)"] +dev = ["GitPython (<3.1.19)", "Jinja2", "Jinja2", "accelerate (>=0.31.0)", "accelerate (>=0.31.0)", "compel (==0.1.8)", "datasets", "datasets", "flax (>=0.4.1)", "ftfy", "hf-doc-builder (>=0.3.0)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)", "librosa", "parameterized", "peft (>=0.17.0)", "phonemizer", "protobuf (>=3.20.3,<4)", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.9.10)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tiktoken (>=0.7.0)", "timm", "torch (>=1.4)", "torchsde", "torchvision", "transformers (>=4.41.2)", "urllib3 (<=2.0.0)"] docs = ["hf-doc-builder (>=0.3.0)"] flax = ["flax (>=0.4.1)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)"] gguf = ["accelerate (>=0.31.0)", "gguf (>=0.10.0)"] nvidia-modelopt = ["nvidia_modelopt[hf] (>=0.33.1)"] optimum-quanto = ["accelerate (>=0.31.0)", "optimum_quanto (>=0.2.6)"] quality = ["hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.9.10)", "urllib3 (<=2.0.0)"] -test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark (>=0.2.0)", "k-diffusion (==0.0.12)", "librosa", "parameterized", "phonemizer", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken (>=0.7.0)", "torchvision", "transformers (>=4.41.2)"] +test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "ftfy", "invisible-watermark (>=0.2.0)", "librosa", "parameterized", "phonemizer", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken (>=0.7.0)", "torchsde", "torchvision", "transformers (>=4.41.2)"] torch = ["accelerate (>=0.31.0)", "torch (>=1.4)"] torchao = ["accelerate (>=0.31.0)", "torchao (>=0.7.0)"] training = ["Jinja2", "accelerate (>=0.31.0)", "datasets", "peft (>=0.17.0)", "protobuf (>=3.20.3,<4)", "tensorboard", "timm"] @@ -3745,14 +3745,14 @@ onnx = ">=1.14.0" [[package]] name = "openai" -version = "2.24.0" +version = "2.26.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.24.0-py3-none-any.whl", hash = "sha256:fed30480d7d6c884303287bde864980a4b137b60553ffbcf9ab4a233b7a73d94"}, - {file = "openai-2.24.0.tar.gz", hash = "sha256:1e5769f540dbd01cb33bc4716a23e67b9d695161a734aff9c5f925e2bf99a673"}, + {file = "openai-2.26.0-py3-none-any.whl", hash = "sha256:6151bf8f83802f036117f06cc8a57b3a4da60da9926826cc96747888b57f394f"}, + {file = "openai-2.26.0.tar.gz", hash = "sha256:b41f37c140ae0034a6e92b0c509376d907f3a66109935fba2c1b471a7c05a8fb"}, ] [package.dependencies] @@ -6839,4 +6839,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "a10a5e6d3eb0d66e2127e8f3f16c705035fda27eb1a537aa0e09c8569096a5a2" +content-hash = "24cb8723c3ef31e8a0ec125aefe6aceccf16d326de00c70de5615fc0ef13dd57" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 1879a27796f6..d1ebc312c990 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy (<2)", "onnx (>=1.18.0,<1.20.0)", "onnx-graphsurgeon (>=0.5.2)", - "openai (>=2.24.0,<3.0.0)", + "openai (>=2.26.0,<3.0.0)", "polygraphy (>=0.49.26,<0.50.0)", "psutil (>=7.2.2,<8.0.0)", "nvidia-ml-py (>=13)", From 3429ad6ba34ab39a28d0ad87d0d721b4e7a47120 Mon Sep 17 00:00:00 2001 From: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com> Date: Fri, 6 Mar 2026 15:17:05 +0800 Subject: [PATCH 193/241] [None][infra] Waive 2 failed cases for release/1.2 in post-merge 42 (#11971) Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com> Co-authored-by: Jie Li <76780849+jieli-matrix@users.noreply.github.com> --- tests/integration/test_lists/waives.txt | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/integration/test_lists/waives.txt b/tests/integration/test_lists/waives.txt index f114877f0331..7a318ad331c3 100644 --- a/tests/integration/test_lists/waives.txt +++ b/tests/integration/test_lists/waives.txt @@ -350,3 +350,5 @@ accuracy/test_llm_api_pytorch.py::TestLlama3_1_8B_Instruct_RocketKV::test_auto_d accuracy/test_disaggregated_serving.py::TestLlama3_1_8BInstruct::test_ctx_pp_gen_tp_asymmetric[MMLU-gen_tp=2-ctx_pp=4] SKIP (https://nvbugs/5948684) accuracy/test_llm_api_pytorch.py::TestQwen3_235B_A22B::test_nvfp4_4gpus[latency_moe_cutlass] SKIP (https://nvbugs/5948709) unittest/_torch/modeling -k "modeling_siglip" SKIP (https://nvbugs/5941242) +stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-GUARANTEED_NO_EVICT-pytorch-stress-test] SKIP (https://nvbugs/5955927) +stress_test/stress_test.py::test_run_stress_test[llama-v3-8b-instruct-hf_tp1-stress_time_300s_timeout_450s-MAX_UTILIZATION-pytorch-stress-test] SKIP (https://nvbugs/5955927) From 5e23368ca9e7d50c509cbbc43913013e72d209e7 Mon Sep 17 00:00:00 2001 From: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> Date: Sat, 7 Mar 2026 00:37:05 +0800 Subject: [PATCH 194/241] [https://nvbugs/5948878][fix] Fix ClientPayloadError (#11973) Signed-off-by: yingguo-trt <244492186+yingguo-trt@users.noreply.github.com> --- ...-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml | 2 +- ...1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx2_pp8_gen1_dep16_bs8_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml | 2 +- ...fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml | 2 +- ...-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml | 2 +- ...fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml | 2 +- ...fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml | 2 +- ...fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml | 2 +- ...fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml | 2 +- ...-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml | 2 +- ...-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml | 2 +- ...-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml | 2 +- ...fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml | 3 ++- ...1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml | 2 +- ...2B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-UCX.yaml | 2 +- ...2B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml | 2 +- ...B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-NIXL.yaml | 2 +- ...2B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-UCX.yaml | 2 +- ...r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ...-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-UCX.yaml | 2 +- ...1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-UCX.yaml | 2 +- ...fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml | 3 ++- ...p4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml | 2 +- ...r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ...-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-UCX.yaml | 2 +- ...r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml | 2 +- ...32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ...2-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml | 2 +- ...p4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml | 2 +- ...32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml | 2 +- ...32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml | 2 +- ...-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml | 2 +- ...g-fp4_8k1k_ctx8_gen1_dep32_bs256_eplb416_mtp0_ccb-NIXL.yaml | 2 +- 62 files changed, 64 insertions(+), 62 deletions(-) diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml index a4ad607842d9..603f7b20a5ef 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen13_tep4_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml index f2b1074ea4fc..4c7e5b6ac2af 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen5_tep4_bs4_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '4' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml index 3f9ef0ebaa12..f5b5cdbca60f 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen6_tep8_bs1_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml index ca20d690388a..d552e1ce3a9a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen7_tep8_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml index a22245dee91a..68cbe5b5d1c0 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep4_bs2_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml index 59d835780b16..33881dadab68 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp4_gen8_tep8_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml index 5be853b4ac63..b77c8c421c6e 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen11_tep4_bs2_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml index dfbf6222ed95..aa497577d76c 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen14_tep4_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml index 55972145a59f..2b632a31c64b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep16_bs1_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml index 02bc0863a9a0..9c5b8196f242 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_dep8_bs4_eplb0_mtp2-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '4' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml index fd3ad8c0f1be..facbb7353139 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml index 1cd58fc3936e..aff1ada26896 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs1_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml index 1565c88347c7..cb25ca5b4bdd 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen1_tep8_bs2_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml index 281ab8215104..c2b4755efc73 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen5_tep8_bs2_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml index 77e113fec290..3ca45ccbad41 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep4_bs2_eplb0_mtp2-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml index 517b5c61e778..d0ebc8b4f6cf 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen7_tep8_bs1_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml index 449fd368a3a8..cec8989c2e2e 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx1_pp8_gen8_tep4_bs4_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '4' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml index d794643060ab..cdf60ffb7fda 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp4_gen7_tep8_bs2_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep16_bs8_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep16_bs8_eplb0_mtp0-Default.yaml index ff9a9e62cf8b..7fce79834453 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep16_bs8_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep16_bs8_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '8' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml index d547dae70666..e657dff55658 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx2_pp8_gen1_dep32_bs2_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml index 90d277005791..2499d48ae5e5 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp4_gen1_dep8_bs16_eplb0_mtp1-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '128' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml index 1c935ff7c416..395f88c4d25e 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs16_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '16' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml index ee9d98cdaa99..57495ff5205a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep16_bs8_eplb0_mtp2-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '8' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml index d69db0a1ca34..6359f8d75f0b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs2_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '2' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml index a51d1073e30c..07d33bc2e649 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx3_pp8_gen1_dep32_bs4_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '4' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml index 05d6a10d3268..a4df67f23fd8 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs16_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '256' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml index 5befdee83318..a1ab0b18a681 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep16_bs8_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '128' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml index e2bcac62240b..5f1605580be6 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs2_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '64' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml index d449c173c778..688ad820e4c2 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx5_pp4_gen1_dep32_bs4_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '128' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml index 90ed3bd0d33c..74e251b41f2d 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs16_eplb0_mtp1-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '256' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml index 2eed9c9959c7..846d378e9ce9 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx7_pp4_gen1_dep16_bs32_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml index c9226167aa5a..1e060c2a7a60 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep16_bs32_eplb0_mtp1-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml index e92e50d77f95..de8cb92e5308 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs4_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '128' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml index fb0c3d54835c..44a3865b321a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp0-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '256' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml index 8740d2861c4f..f6fc331f104b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/perf/deepseek-r1-fp4_128k8k_ctx8_pp4_gen1_dep32_bs8_eplb0_mtp3-Default.yaml @@ -17,7 +17,7 @@ slurm: benchmark: mode: e2e use_nv_sa_benchmark: true - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '256' diff --git a/tests/integration/defs/perf/disagg/test_configs/disagg/stress/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/disagg/stress/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml index 9d5ca29c1220..e70b08648358 100644 --- a/tests/integration/defs/perf/disagg/test_configs/disagg/stress/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/disagg/stress/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml @@ -24,7 +24,7 @@ slurm: extra_args: "--gres=gpu:4" numa_bind: true benchmark: - mode: gen_only + mode: e2e use_nv_sa_benchmark: false multi_round: 20 benchmark_ratio: 0.8 @@ -94,6 +94,7 @@ worker_config: max_tokens_in_buffer: 8320 backend: DEFAULT stream_interval: 20 + num_postprocess_workers: 4 ctx: enable_layerwise_nvtx_marker: true max_batch_size: 4 diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml index 914924bfd25c..eda39f856abe 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml @@ -25,7 +25,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml index d68362abf040..4a4a92166448 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/accuracy/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml @@ -25,7 +25,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 1.0 streaming: true concurrency_list: '16384' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-NIXL.yaml index 3c33b288e560..d59577d9b27d 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: 512 1024 diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-UCX.yaml index 0a6135f34a25..f97e3b733f40 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep16_bs64_eplb288_mtp3_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: 512 1024 diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml index 75accd863165..0e2fd7c705a9 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml index 2df13f962f1b..2d09fc2e293e 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx1_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-NIXL.yaml index 3c0b8d2e7a7c..82e0ed1b9a7b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-UCX.yaml index 2dd7fd80b2dd..01a97277f8c8 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/Qwen3-235B-A22B-FP4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp1_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml index fedb8825b218..dca9e11674e0 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-UCX.yaml index 57664549800e..da38c1188e02 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml index 4d4f8cb7db2c..da6d8e673609 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-UCX.yaml index fc1242294366..4bd9ebd02cc1 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml index d2f81b865eda..68871fa34ee7 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml @@ -21,7 +21,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '12288' @@ -89,6 +89,7 @@ worker_config: max_tokens_in_buffer: 8320 backend: DEFAULT stream_interval: 20 + num_postprocess_workers: 4 ctx: enable_layerwise_nvtx_marker: true max_batch_size: 4 diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml index a0d6836d5556..6fc3dbbb41f4 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml @@ -23,7 +23,7 @@ hardware: benchmark: mode: e2e use_nv_sa_benchmark: false - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml index 60b022a21d05..89467c096fd4 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-UCX.yaml index f4cfcda4e672..473e4f0eb421 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml index dafc6a7df79d..22de7c4b86bf 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml index bb54d661a527..17820ad45608 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-r1-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-UCX.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml index 55be42a7a756..59b1db798a8b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx1_gen1_dep32_bs32_eplb288_mtp0_ccb-NIXL.yaml @@ -20,7 +20,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml index 3755259ad632..bc529a2010e5 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep16_bs128_eplb288_mtp3_ccb-NIXL.yaml @@ -20,7 +20,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '2048' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml index 3e4baeb63185..43973a8f3532 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_1k1k_ctx2_gen1_dep48_bs16_eplb288_mtp3_ccb-DEFAULT.yaml @@ -21,7 +21,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '12288' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml index 590ba0e3ea39..5b3981d76986 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx2_gen1_dep32_bs128_eplb288_mtp3_ccb-DEFAULT.yaml @@ -24,7 +24,7 @@ hardware: benchmark: mode: e2e use_nv_sa_benchmark: false - multi_round: 1 + multi_round: 8 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml index e8bbca193a11..909d8cff112b 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx6_gen1_dep16_bs64_eplb288_mtp0_ccb-NIXL.yaml @@ -20,7 +20,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '1024' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml index 5f72eb306355..69d163c73c6a 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/deepseek-v32-fp4_8k1k_ctx8_gen1_dep32_bs16_eplb288_mtp3_ccb-NIXL.yaml @@ -20,7 +20,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 0.8 streaming: true concurrency_list: '512' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml index dbba4ca355b8..771dba0b9c15 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_1k1k_ctx3_gen1_dep32_bs1024_eplb384_mtp0_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 1.0 streaming: true concurrency_list: '16384' diff --git a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_8k1k_ctx8_gen1_dep32_bs256_eplb416_mtp0_ccb-NIXL.yaml b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_8k1k_ctx8_gen1_dep32_bs256_eplb416_mtp0_ccb-NIXL.yaml index 6178b8e9298c..74beec805da5 100644 --- a/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_8k1k_ctx8_gen1_dep32_bs256_eplb416_mtp0_ccb-NIXL.yaml +++ b/tests/integration/defs/perf/disagg/test_configs/wideep/perf/kimi-k2-thinking-fp4_8k1k_ctx8_gen1_dep32_bs256_eplb416_mtp0_ccb-NIXL.yaml @@ -19,7 +19,7 @@ slurm: benchmark: mode: gen_only use_nv_sa_benchmark: false - multi_round: 8 + multi_round: 1 benchmark_ratio: 1.0 streaming: true concurrency_list: '8192' From 8e7738864ed42f3bcc515459836a04ae6cee2dac Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 7 Mar 2026 04:27:24 +0000 Subject: [PATCH 195/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 228 +++++++-------- .../examples/auto_deploy/poetry.lock | 248 ++++++++--------- .../examples/draft_target_model/poetry.lock | 244 ++++++++-------- security_scanning/examples/eagle/poetry.lock | 244 ++++++++-------- .../llm-eval/lm-eval-harness/poetry.lock | 248 ++++++++--------- .../examples/lookahead/poetry.lock | 244 ++++++++-------- security_scanning/examples/medusa/poetry.lock | 244 ++++++++-------- .../models/contrib/baichuan/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/bloom/poetry.lock | 244 ++++++++-------- .../models/contrib/chatglm-6b/poetry.lock | 244 ++++++++-------- .../models/contrib/chatglm2-6b/poetry.lock | 244 ++++++++-------- .../contrib/chatglm3-6b-32k/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/dbrx/poetry.lock | 244 ++++++++-------- .../models/contrib/deepseek_v1/poetry.lock | 244 ++++++++-------- .../models/contrib/deepseek_v2/poetry.lock | 244 ++++++++-------- .../models/contrib/falcon/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/gptj/poetry.lock | 244 ++++++++-------- .../models/contrib/gptneox/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/grok/poetry.lock | 244 ++++++++-------- .../models/contrib/hyperclovax/poetry.lock | 20 +- .../models/contrib/internlm/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/jais/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/mmdit/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/mpt/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/opt/poetry.lock | 244 ++++++++-------- .../models/contrib/skywork/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/smaug/poetry.lock | 244 ++++++++-------- .../examples/models/contrib/stdit/poetry.lock | 248 ++++++++--------- .../examples/models/core/commandr/poetry.lock | 244 ++++++++-------- .../examples/models/core/gemma/poetry.lock | 244 ++++++++-------- .../examples/models/core/glm-4-9b/poetry.lock | 244 ++++++++-------- .../examples/models/core/gpt/poetry.lock | 244 ++++++++-------- .../examples/models/core/llama/poetry.lock | 244 ++++++++-------- .../examples/models/core/mamba/poetry.lock | 244 ++++++++-------- .../examples/models/core/mixtral/poetry.lock | 232 ++++++++-------- .../examples/models/core/mllama/poetry.lock | 232 ++++++++-------- .../examples/models/core/nemotron/poetry.lock | 244 ++++++++-------- .../examples/models/core/phi/poetry.lock | 244 ++++++++-------- .../examples/models/core/qwen/poetry.lock | 244 ++++++++-------- .../models/core/qwen2audio/poetry.lock | 244 ++++++++-------- .../examples/models/core/qwenvl/poetry.lock | 248 ++++++++--------- .../models/core/recurrentgemma/poetry.lock | 244 ++++++++-------- .../examples/models/core/whisper/poetry.lock | 262 +++++++++--------- security_scanning/examples/ngram/poetry.lock | 244 ++++++++-------- .../examples/quantization/poetry.lock | 244 ++++++++-------- .../examples/ray_orchestrator/poetry.lock | 246 ++++++++-------- .../examples/redrafter/poetry.lock | 244 ++++++++-------- security_scanning/examples/serve/poetry.lock | 244 ++++++++-------- .../examples/trtllm-eval/poetry.lock | 248 ++++++++--------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 232 ++++++++-------- security_scanning/triton_backend/poetry.lock | 232 ++++++++-------- 52 files changed, 6100 insertions(+), 6100 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index c9da840125c4..845c5e1d7bab 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -139,125 +139,125 @@ files = [ 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["pytest", "pytest-cov", "pytest-xdist"] [[package]] name = "cyclopts" -version = "4.7.0" +version = "4.8.0" description = "Intuitive, easy CLIs based on type hints." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cyclopts-4.7.0-py3-none-any.whl", hash = "sha256:c659d930797a8470f2914a8f8f8be263b339cb6ffb6593b4a59fa9d84b8e0e38"}, - {file = "cyclopts-4.7.0.tar.gz", hash = "sha256:1d0fd440b8d21a55d14f830033eb1ac156933424df3e90afeea34cfb3ed73822"}, + {file = "cyclopts-4.8.0-py3-none-any.whl", hash = "sha256:ef353da05fec36587d4ebce7a6e4b27515d775d184a23bab4b01426f93ddc8d4"}, + {file = "cyclopts-4.8.0.tar.gz", hash = "sha256:92cc292d18d8be372e58d8bce1aa966d30f819a5fb3fee02bd2ad4a6bb403f29"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 72ac4da4ffae..098510adc797 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": 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"timestamp": "2026-03-09T04:03:22Z" } From 02e5f84c228f1d46b12aca0950f323a196475c58 Mon Sep 17 00:00:00 2001 From: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> Date: Mon, 9 Mar 2026 11:57:13 -0400 Subject: [PATCH 198/241] [None][doc] Release notes for 1.2 release (#11955) Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com> --- docs/source/release-notes.md | 99 +++++++++++++++++++++++++++--------- 1 file changed, 76 insertions(+), 23 deletions(-) diff --git a/docs/source/release-notes.md b/docs/source/release-notes.md index 5c711a48422f..5d02941ee28c 100644 --- a/docs/source/release-notes.md +++ b/docs/source/release-notes.md @@ -6,32 +6,85 @@ All published functionality in the Release Notes has been fully tested and verif ## TensorRT-LLM Release 1.2 -### Key Features and Enhancements - -- **DGX Spark Support (Beta)** - - Added beta support for single-node DGX Spark. - - Validated models and precision formats: - - GPT-OSS-20B, GPT-OSS-120B (MXFP4) - - Llama-3.1-8B-Instruct (FP16/FP8/NVFP4) - - Llama-3.3-70B-Instruct (FP8/NVFP4) - - Qwen3-8B, Qwen3-14B (FP16/FP8/NVFP4) - - Qwen3-32B (FP16/NVFP4) - - Qwen3-30B-A3B (FP16/NVFP4) - - NVIDIA-Nemotron-Nano-9B-v2 (FP4) - - Llama-3.3-Nemotron-Super-49B-v1.5 (FP8) - - Phi-4-multimodal-instruct (FP16/FP8/NVFP4) - - Phi-4-reasoning-plus (FP16/FP8/NVFP4) - -### Infrastructure Changes +### Highlights -### API Changes - -### Fixed Issues +- **Model Support** + - Added beta support for K-EXAONE, Nemotron Nano V3, Qwen3-Next and Qwen3-VL. + - Improved GPT-OSS, Nemotron, EXAONE, GLM, Starcoder2, Qwen3, KimiK2, DeepSeek v3.2 and Mistral Large 3 support and validation. + - Expanded Blackwell/Hopper/Ampere enablement including B300/GB200/GB300 and SM120/SM121/SM103 paths. + - Broadened low-precision and MoE capabilities (FP8/NVFP4/MXFP4/INT4-AWQ), including routing and kernels. -### Known Issues +- **Features** + - **Speculative Decoding:** + - Enabled MTP>1 support for DeepSeek v3.2 + - **Disaggregated Serving:** + - Added service discovery mechanism for dynamic scaling + - Added support for cancelling requests + - Added NIXL-LibFabric support + - Added support for Mooncake transfer engine as a cache transceiver backend + - **Sampling:** + - Implemented batched sampling using FlashInfer sampling + - Added support for returning logprobs incrementally with streaming mode in PyTorch backend + - Added Beam Search support to TorchSampler + - **Performance:** + - Improved TorchSampler performance + - Enabled PDL by default and added PDL support for indexer TopK and additional kernels. + - Improved trtllm-gen kernels + - Enabled early exit with overlap scheduler + - Added NUMA-aware CPU affinity automatic configuration + - **Expert Parallelism:** + - Enabled EPLB for trtllm-gen and cutlass backend + - Enabled CuteDSL MoE with large EP + - Added CUDA graph support for DeepEP + - Multiple performance improvements + - **Hardware:** + - DGX Spark Support (Beta) + - **Others:** + - Helix parallelism support + - New Ray orchestrator type -- **DGX Spark:** DGX Spark support is in beta. Only single-node configurations and the models listed above have been validated in this release. -- **Disaggregated Serving:** A hang may occur in disaggregated serving with context pipeline parallelism and generation tensor parallelism configurations. +- **Documentation** + - **Deployment Guides:** + - Added comprehensive deployment guides for KimiK2, Qwen3 and Qwen3-Next. + - Added new guide on CPU Affinity configuration. + - Updated GPT-OSS guide. + - **Developer Guides:** + - Added developer guide about KV Cache Transmission. + - New section on MoE Expert Load Balance Analysis (Perfect Router) in Performance Analysis guide. + - New section on API Change Principles in LLM API Change guide. + - **Feature Documentation:** + - Created new guides for Additional Outputs, Helix Parallelism, KV Cache Connector, Ray Orchestrator, Sparse Attention and Torch Compile & Piecewise CUDA Graph. + - Also updated the Feature Combination Matrix and Paged Attention, IFB, and Request Scheduling guide. + - **Tech Blogs:** Published blogs on: + - "[Scaling Expert Parallelism in TensorRT LLM (Part 3: Pushing the Performance Boundary)](./blogs/tech_blog/blog14_Scaling_Expert_Parallelism_in_TensorRT-LLM_part3.md)" + - "[Optimizing DeepSeek-V3.2 on NVIDIA Blackwell GPUs](./blogs/tech_blog/blog15_Optimizing_DeepSeek_V32_on_NVIDIA_Blackwell_GPUs.md)". + - **Examples:** + - Added new section on disaggregated serving service discovery method. + - Added examples for K-EXAONE, Nemotron Nano V2 VL and Nemotron Nano V3. + - Added RocketKV usage documentation. + +- **Infrastructure Changes** + + - The base Docker image for TensorRT-LLM is updated to `nvcr.io/nvidia/pytorch:25.12-py3`. + - The base Docker image for TensorRT-LLM Backend is updated to `nvcr.io/nvidia/tritonserver:25.12-py3`. + - The dependent public PyTorch version is updated to 2.9.1. + - The dependent transformers version is updated to 4.57.3. + - The dependent triton version is updated to 3.5.1. + - The dependent NIXL version is updated to 0.8.0. + +- **API Changes** + - **Breaking Changes:** + - FlashInfer sampling now used by default with PyTorch backend. + - Changes to sampling strategy in some previously undefined cases. + - **OpenAI API:** + - Enabled n > 1 with PyTorch backend + - Added support for GET/DELETE v1/responses + +- **Fixed multiple Issues** + +- **Known Issues** + - **DGX Spark:** DGX Spark support is in beta. Only single-node configurations and the models listed above have been validated in this release. + - **Disaggregated Serving:** A hang may occur in disaggregated serving with context pipeline parallelism and generation tensor parallelism configurations. ## TensorRT-LLM Release 1.1 From 4988ba01d6fc6c954cb50f8355c9085777815b44 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 9 Mar 2026 23:17:50 +0000 Subject: [PATCH 199/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 10 +- .../examples/auto_deploy/poetry.lock | 22 +- .../examples/draft_target_model/poetry.lock | 152 +++--- security_scanning/examples/eagle/poetry.lock | 152 +++--- .../llm-eval/lm-eval-harness/poetry.lock | 168 +++--- .../examples/lookahead/poetry.lock | 152 +++--- security_scanning/examples/medusa/poetry.lock | 152 +++--- .../models/contrib/baichuan/poetry.lock | 152 +++--- .../examples/models/contrib/bloom/poetry.lock | 152 +++--- .../models/contrib/chatglm-6b/poetry.lock | 152 +++--- .../models/contrib/chatglm2-6b/poetry.lock | 152 +++--- .../contrib/chatglm3-6b-32k/poetry.lock | 152 +++--- .../examples/models/contrib/dbrx/poetry.lock | 152 +++--- .../models/contrib/deepseek_v1/poetry.lock | 152 +++--- .../models/contrib/deepseek_v2/poetry.lock | 152 +++--- .../models/contrib/falcon/poetry.lock | 6 +- .../examples/models/contrib/gptj/poetry.lock | 152 +++--- .../models/contrib/gptneox/poetry.lock | 152 +++--- .../examples/models/contrib/grok/poetry.lock | 170 +++--- .../models/contrib/hyperclovax/poetry.lock | 16 +- .../models/contrib/internlm/poetry.lock | 152 +++--- .../examples/models/contrib/jais/poetry.lock | 152 +++--- .../examples/models/contrib/mmdit/poetry.lock | 6 +- .../examples/models/contrib/mpt/poetry.lock | 152 +++--- .../examples/models/contrib/opt/poetry.lock | 152 +++--- .../models/contrib/skywork/poetry.lock | 152 +++--- .../examples/models/contrib/smaug/poetry.lock | 152 +++--- .../examples/models/contrib/stdit/poetry.lock | 16 +- .../examples/models/core/commandr/poetry.lock | 152 +++--- .../examples/models/core/gemma/poetry.lock | 6 +- .../examples/models/core/glm-4-9b/poetry.lock | 152 +++--- .../examples/models/core/gpt/poetry.lock | 152 +++--- .../examples/models/core/llama/poetry.lock | 6 +- .../examples/models/core/mamba/poetry.lock | 6 +- .../examples/models/core/mixtral/poetry.lock | 16 +- .../examples/models/core/mllama/poetry.lock | 16 +- .../examples/models/core/nemotron/poetry.lock | 152 +++--- .../examples/models/core/phi/poetry.lock | 152 +++--- .../examples/models/core/qwen/poetry.lock | 152 +++--- .../models/core/qwen2audio/poetry.lock | 152 +++--- .../examples/models/core/qwenvl/poetry.lock | 484 +++++++++--------- .../models/core/recurrentgemma/poetry.lock | 16 +- .../examples/models/core/whisper/poetry.lock | 162 +++--- security_scanning/examples/ngram/poetry.lock | 152 +++--- .../examples/quantization/poetry.lock | 152 +++--- .../examples/ray_orchestrator/poetry.lock | 18 +- .../examples/redrafter/poetry.lock | 152 +++--- security_scanning/examples/serve/poetry.lock | 338 ++++++------ .../examples/trtllm-eval/poetry.lock | 168 +++--- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 378 +++++++------- security_scanning/pyproject.toml | 2 +- .../tests/integration/defs/perf/poetry.lock | 322 ++++++------ security_scanning/triton_backend/poetry.lock | 6 +- 54 files changed, 3493 insertions(+), 3429 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 845c5e1d7bab..1a7c6d5f8f1a 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -733,19 +733,19 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "setuptools" -version = "82.0.0" -description = "Easily download, build, install, 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"commit_hash": "02e5f84c228f1d46b12aca0950f323a196475c58", - "timestamp": "2026-03-09T22:43:16Z" + "commit_hash": "4988ba01d6fc6c954cb50f8355c9085777815b44", + "timestamp": "2026-03-10T04:17:49Z" } From c15f57de4b3040d30720fce66c6f4197380aa9a1 Mon Sep 17 00:00:00 2001 From: fredricz-20070104 <226039983+fredricz-20070104@users.noreply.github.com> Date: Tue, 10 Mar 2026 14:32:39 +0800 Subject: [PATCH 201/241] [None][test] Fix disagg test sku for release 1.2 (#12066) Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com> --- tests/integration/defs/perf/disagg/utils/config_loader.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/integration/defs/perf/disagg/utils/config_loader.py b/tests/integration/defs/perf/disagg/utils/config_loader.py index 14a5729b3f18..89a052eb471d 100644 --- a/tests/integration/defs/perf/disagg/utils/config_loader.py +++ b/tests/integration/defs/perf/disagg/utils/config_loader.py @@ -230,9 +230,9 @@ def scan_configs( if gpu_type is None: gpu_type = EnvManager.get_gpu_type() - # GB200_LYRIS in also in the GB200 family - if gpu_type.startswith("GB200_"): - gpu_type = "GB200" + # Normalize GPU type by extracting base name before any variant suffix + # e.g., GB200-LYRIS -> GB200, GB300-LYRIS -> GB300, GB200-OCI -> GB200 + gpu_type = gpu_type.split("-")[0] configs = [] if not self.base_dir.exists(): From 484f4fe9c60a7cf24b929fe2628b6cfc53d1994d Mon Sep 17 00:00:00 2001 From: benzh-2025 Date: Tue, 10 Mar 2026 17:04:03 +0800 Subject: [PATCH 202/241] [https://nvbugs/5924136][fix] Fix bug by add env var (#11974) Signed-off-by: benzh-2025 --- tensorrt_llm/_torch/modules/linear.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tensorrt_llm/_torch/modules/linear.py b/tensorrt_llm/_torch/modules/linear.py index 0d99b6539727..90ffe7abea11 100644 --- a/tensorrt_llm/_torch/modules/linear.py +++ b/tensorrt_llm/_torch/modules/linear.py @@ -2168,11 +2168,14 @@ def __init__( device_supported = get_sm_version() >= 100 nvls_supported = ipc_nvls_supported() + enable_gemm_allreduce_fusion_env = (os.environ.get( + "TRTLLM_GEMM_ALLREDUCE_FUSION_ENABLED", "0") == "1") self.use_fused_gemm_allreduce = all([ self.reduce_output, mpi_enabled, dtype_supported, in_features_aligned, out_features_aligned, tp_valid, quant_valid, - device_supported, nvls_supported, enable_gemm_allreduce_fusion + device_supported, nvls_supported, enable_gemm_allreduce_fusion, + enable_gemm_allreduce_fusion_env ]) self.enable_cuda_core = False From 51f5ef32b695f421dd27727f3935052015c945f9 Mon Sep 17 00:00:00 2001 From: fredricz-20070104 <226039983+fredricz-20070104@users.noreply.github.com> Date: Tue, 10 Mar 2026 20:36:53 +0800 Subject: [PATCH 203/241] [None][test] Fix disagg test gpu (#12078) Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com> --- .../defs/perf/disagg/test_disagg.py | 4 +++- .../defs/perf/disagg/utils/common.py | 18 ++++++++++++------ 2 files changed, 15 insertions(+), 7 deletions(-) diff --git a/tests/integration/defs/perf/disagg/test_disagg.py b/tests/integration/defs/perf/disagg/test_disagg.py index 9e724c56de61..75de1aedb596 100644 --- a/tests/integration/defs/perf/disagg/test_disagg.py +++ b/tests/integration/defs/perf/disagg/test_disagg.py @@ -123,7 +123,9 @@ def test_benchmark(self, request, batch_manager, test_config: TestConfig): # Check results and generate report result = JobManager.check_result(job_id, test_config, timestamps, full_test_name) - assert result["success"], f"Performance test failed: {job_id}" + assert result["success"], ( + f"Performance test failed: {job_id}\n{result.get('error', 'Unknown error')}" + ) except Exception as e: test_tracker.end_test_case() diff --git a/tests/integration/defs/perf/disagg/utils/common.py b/tests/integration/defs/perf/disagg/utils/common.py index df787da3b1e3..0e528befd3c8 100644 --- a/tests/integration/defs/perf/disagg/utils/common.py +++ b/tests/integration/defs/perf/disagg/utils/common.py @@ -4,19 +4,25 @@ # GPU resource configuration - centralized config for all GPU-specific parameters GPU_RESOURCE_CONFIG = { - "GB200": { # OCI GB200 + "GB200-OCI": { # OCI GB200 "slurm_extra_args": "--gres=gpu:4", "set_segment": True, "lock_freq_graphics_mhz": 2062, "lock_freq_memory_mhz": 3996, }, - "GB200_LYRIS": { # Lyris GB200 + "GB200-LYRIS": { # Lyris GB200 "slurm_extra_args": "", "set_segment": True, "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - "GB300": { # Lyris GB300 + "GB300-LYRIS": { # Lyris GB300 + "slurm_extra_args": "", + "set_segment": True, + "lock_freq_graphics_mhz": None, + "lock_freq_memory_mhz": None, + }, + "GB300": { # GB300 on dlcluster "slurm_extra_args": "", "set_segment": True, "lock_freq_graphics_mhz": None, @@ -28,13 +34,13 @@ "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - "B200": { # OCI B200 + "B200": { # B200 on computelab "slurm_extra_args": "--gres=gpu:4", "set_segment": False, "lock_freq_graphics_mhz": None, "lock_freq_memory_mhz": None, }, - "B300": { # OCI B300 + "B300": { # B300 on computelab "slurm_extra_args": "--gres=gpu:4", "set_segment": False, "lock_freq_graphics_mhz": None, @@ -48,7 +54,7 @@ class EnvManager: @staticmethod def get_gpu_type() -> str: - return os.getenv("GPU_TYPE", "GB200") + return os.getenv("GPU_TYPE", "GB200-OCI") @staticmethod def get_slurm_partition() -> str: From 21796cdad181851f8cc27dff40f4b4e8569812bf Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 11 Mar 2026 04:27:16 +0000 Subject: [PATCH 204/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 4 +- .../llm-eval/lm-eval-harness/poetry.lock | 4 +- .../models/contrib/hyperclovax/poetry.lock | 4 +- .../examples/models/contrib/stdit/poetry.lock | 4 +- .../examples/models/core/mixtral/poetry.lock | 4 +- .../examples/models/core/mllama/poetry.lock | 21 +- .../examples/models/core/qwenvl/poetry.lock | 4 +- .../examples/models/core/whisper/poetry.lock | 4 +- .../examples/ray_orchestrator/poetry.lock | 6 +- security_scanning/examples/serve/poetry.lock | 398 ++++++++++++------ .../examples/serve/pyproject.toml | 2 +- .../examples/trtllm-eval/poetry.lock | 4 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 147 +++---- security_scanning/triton_backend/poetry.lock | 4 +- 15 files changed, 348 insertions(+), 266 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index e9e9461f5090..bfff9a8a0d4c 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -570,14 +570,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a"}, + {file = "cuda_pathfinder-1.4.2-py3-none-any.whl", hash = "sha256:eb354abc20278f8609dc5b666a24648655bef5613c6dfe78a238a6fd95566754"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 4efca83d5518..7ac305fbc472 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -491,14 +491,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a"}, + {file = "cuda_pathfinder-1.4.2-py3-none-any.whl", hash = "sha256:eb354abc20278f8609dc5b666a24648655bef5613c6dfe78a238a6fd95566754"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index f3bb949fe32c..483ca5142966 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -176,14 +176,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a"}, + {file = "cuda_pathfinder-1.4.2-py3-none-any.whl", hash = "sha256:eb354abc20278f8609dc5b666a24648655bef5613c6dfe78a238a6fd95566754"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index e8ebe8285d54..f098e0ff4c3b 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -614,14 +614,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" 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a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index 5befaf03d90d..50cea5baf7f0 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -491,14 +491,14 @@ test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest ( [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" files = [ - {file = "cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a"}, + {file = "cuda_pathfinder-1.4.2-py3-none-any.whl", hash = "sha256:eb354abc20278f8609dc5b666a24648655bef5613c6dfe78a238a6fd95566754"}, ] [[package]] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 035b2562b137..0102afbbb410 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "4988ba01d6fc6c954cb50f8355c9085777815b44", - "timestamp": "2026-03-10T04:17:49Z" + "commit_hash": "51f5ef32b695f421dd27727f3935052015c945f9", + "timestamp": "2026-03-11T04:01:29Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 28e3bce79bc2..5f04ab09e08b 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1025,13 +1025,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.1" +version = "1.4.2" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a"}, + {file = 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hash = "sha256:cb8d9549122b5b42f34b23b14c6b662a88a586a919d418c774d8dbbc4b3ce2aa"}, + {file = "hf_xet-1.4.0.tar.gz", hash = "sha256:48e6ba7422b0885c9bbd8ac8fdf5c4e1306c3499b82d489944609cc4eae8ecbd"}, ] [package.extras] From dbdb13bd06d2a5abf41c7e5c490c8be4b6b69ebe Mon Sep 17 00:00:00 2001 From: Zac Patel <22306219+zbpatel@users.noreply.github.com> Date: Thu, 12 Mar 2026 14:04:22 -0400 Subject: [PATCH 206/241] [TRTLLM-9911] [doc] Update Perf-Overview.md for Release 1.2 (#12098) Signed-off-by: Zachary Patel <22306219+zbpatel@users.noreply.github.com> --- docs/source/developer-guide/perf-overview.md | 260 +++++++++---------- 1 file changed, 121 insertions(+), 139 deletions(-) diff --git a/docs/source/developer-guide/perf-overview.md b/docs/source/developer-guide/perf-overview.md index 8602ff18969e..ba0df2ed16f1 100644 --- a/docs/source/developer-guide/perf-overview.md +++ b/docs/source/developer-guide/perf-overview.md @@ -9,25 +9,24 @@ It should *not* be considered as the peak performance that can be delivered by T Not all configurations were tested for all GPUs. -We attempted to keep commands as simple as possible to ease reproducibility and left many options at their default settings. -Tuning batch sizes, parallelism configurations, and other options may lead to improved performance depending on your situation. +Commands are kept as simple as possible to ease reproducibility, with many options left at their default settings. +Tune batch sizes, parallelism configurations, and other options to improve performance for your specific situation. -For DeepSeek R1 performance, please check out our [performance guide](../blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.md) +For DeepSeek R1 performance, see the [performance guide](../blogs/Best_perf_practice_on_DeepSeek-R1_in_TensorRT-LLM.md). -For more information on benchmarking with `trtllm-bench` see this NVIDIA [blog post](https://developer.nvidia.com/blog/llm-inference-benchmarking-performance-tuning-with-tensorrt-llm/). +For more information on benchmarking with `trtllm-bench`, see this NVIDIA [blog post](https://developer.nvidia.com/blog/llm-inference-benchmarking-performance-tuning-with-tensorrt-llm/). -## Throughput Measurements - -The below table shows performance data where a local inference client is fed requests at an high rate / no delay between messages, -and shows the throughput scenario under maximum load. The reported metric is `Output Throughput per GPU (tokens/sec/GPU)`. +For NUMA systems, consult the ["CPU Affinity configuration in TensorRT LLM"](../deployment-guide/configuring-cpu-affinity.md) guide to achieve best performance. These options were enabled for relevant tests. -The performance numbers below were collected using the steps described in this document. +## Throughput Measurements -Testing was performed on models with weights quantized using [ModelOpt](https://nvidia.github.io/Model-Optimizer/) and published by NVIDIA on the [Model Optimizer HuggingFace Collection](https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4). +The tables below show performance data where a local inference client sends requests at a high rate with no delay between requests, +representing the throughput scenario under maximum load. The reported metric is `Output Throughput per GPU (tokens/sec/GPU)`. -RTX 6000 Pro Blackwell Server Edition data is now included in the perf overview. RTX 6000 systems can benefit from enabling pipeline parallelism (PP) in LLM workloads, so we included several new benchmarks for this GPU at various TP x PP combinations. That data is presented in a separate table for each network. +The performance numbers below were collected using the steps described in [Reproducing Benchmarked Results](#reproducing-benchmarked-results). +All tested models use weights quantized with [ModelOpt](https://nvidia.github.io/Model-Optimizer/) and published by NVIDIA on the [Model Optimizer HuggingFace Collection](https://huggingface.co/collections/nvidia/model-optimizer-66aa84f7966b3150262481a4). ### Hardware The following GPU variants were used for testing: @@ -37,6 +36,10 @@ The following GPU variants were used for testing: - GB200 192GB (GB200 NVL72) - RTX 6000 Pro Blackwell Server Edition +Note: As of `release/1.2`, support for B300 and GB300 is in beta, and performance data should not be considered finalized. +- B300 288GB (DGX B300) (beta) +- GB300 288 GB (GB300 NVL72) (beta) + Other hardware variants may have different TDP, memory bandwidth, core count, or other features leading to performance differences on these workloads. ### FP4 Models @@ -46,7 +49,6 @@ nvidia/DeepSeek-R1-0528-NVFP4-v2 nvidia/Qwen3-235B-A22B-FP4 nvidia/Qwen3-30B-A3B-FP4 nvidia/Llama-3.3-70B-Instruct-FP4 -nvidia/Llama-4-Maverick-17B-128E-Instruct-NVFP4 ``` ### FP8 Models @@ -55,27 +57,29 @@ nvidia/Llama-4-Maverick-17B-128E-Instruct-NVFP4 deepseek-ai/DeepSeek-R1-0528 nvidia/Qwen3-235B-A22B-FP8 nvidia/Llama-3.3-70B-Instruct-FP8 -nvidia/Llama-4-Maverick-17B-128E-Instruct-FP8 ``` # Performance Summary - All Networks -## Units - -All performance values are measured in `output tokens per second per GPU`, where `output tokens` includes the first and all subsequent generated tokens (input tokens are not included). +All performance values are measured in `output tokens per second per GPU`, where `output tokens` refers to all generated tokens (excluding input/prompt tokens). Data in these tables is taken from the `Per GPU Output Throughput (tps/gpu)` metric reported by `trtllm-bench`. -The calculations for metrics reported by trtllm-bench can be found in the dataclasses [reporting.py](../../../tensorrt_llm/bench/dataclasses/reporting.py#L570) and [statistics.py](../../../tensorrt_llm/bench/dataclasses/statistics.py#L188) +The metric calculations are defined in [reporting.py](../../../tensorrt_llm/bench/dataclasses/reporting.py#L570) and [statistics.py](../../../tensorrt_llm/bench/dataclasses/statistics.py#L188). + +RTX 6000 systems can benefit from enabling pipeline parallelism (PP) in LLM workloads. Results for various TP x PP combinations on this GPU are presented in a separate table for each network. +## Units + +All performance values are measured in **output tokens per second per GPU**. ## Table of Contents - [Deepseek R1 0528](#deepseek-r1-0528) + - [Deepseek R1 0528 - RTX 6000 Pro Blackwell Server Edition](#deepseek-r1-0528-rtx-configurations) - [GPT-OSS 120B](#gpt-oss-120b) - [GPT-OSS 20B](#gpt-oss-20b) - [LLaMA v3.3 70B](#llama-v33-70b) - [LLaMA v3.3 70B - RTX 6000 Pro Blackwell Server Edition](#llama-v33-70b-rtx-configurations) -- [LLaMA v4 Maverick](#llama-v4-maverick) - [Qwen3 235B A22B](#qwen3-235b-a22b) - [Qwen3 235B A22B - RTX 6000 Pro Blackwell Server Edition](#qwen3-235b-a22b-rtx-configurations) - [Qwen3 30B A3B](#qwen3-30b-a3b) @@ -87,15 +91,15 @@ The calculations for metrics reported by trtllm-bench can be found in the datacl # Deepseek R1 0528 -| Sequence Length (ISL/OSL) | B200
DEP4 (FP4) | GB200
DEP4 (FP4) | H200
DEP8 (FP8) | -|---|---|---|---| -| 1000/1000 | 6,463 | 6,939 | 1,627 | -| 1024/1024 | 6,430 | 6,924 | 1,620 | -| 1024/8192 | 3,862 | 4,379 | 1,218 | -| 1024/32768 | 1,451 | 1,465 | 438 | -| 8192/1024 | 1,168 | 1,192 | | +| Sequence Length (ISL/OSL) | B200
DEP4 (FP4) | B300* (beta)
DEP4 (FP4) | GB200
DEP4 (FP4) | GB300* (beta)
DEP4 (FP4) | H200
DEP8 (FP8) | +|---|---|---|---|---|---| +| 1024/1024 | 5,757 | 6,046 | 4,989 | 4,981 | 1,724 | +| 1024/8192 | 4,228 | 6,235 | 4,474 | 6,842 | 1,335 | +| 1024/32768 | 1,472 | 2,177 | 1,582 | 2,904 | | +| 8192/1024 | 1,176 | 1,489 | 1,276 | 1,599 | | +| 32768/1024 | | | | 335 | | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- @@ -103,16 +107,15 @@ unit: `output tokens per second per GPU` # GPT-OSS 120B -| Sequence Length (ISL/OSL) | B200
DEP2 (FP4) | GB200
TP1 (FP4) | H200
TP1 (FP8) | H100
DEP4 (FP8) | -|---|---|---|---|---| -| 1000/1000 | 25,943 | 27,198 | 6,868 | 4,685 | -| 1024/1024 | 25,870 | 26,609 | 6,798 | 4,715 | -| 1024/8192 | 17,289 | 14,800 | 3,543 | | -| 1024/32768 | 6,279 | 5,556 | | 1,177 | -| 8192/1024 | 6,111 | 6,835 | 1,828 | 1,169 | -| 32768/1024 | 1,392 | 1,645 | 519 | 333 | +| Sequence Length (ISL/OSL) | B200
DEP2 (FP4) | B300* (beta)
TP1 (FP4) | GB200
TP1 (FP4) | GB300* (beta)
TP1 (FP4) | H200
DEP2 (FP8) | +|---|---|---|---|---|---| +| 1024/1024 | 29,061 | 34,737 | 29,056 | 38,702 | 6,391 | +| 1024/8192 | 16,434 | 18,338 | 17,079 | 19,866 | 4,260 | +| 1024/32768 | 7,020 | 7,284 | 6,313 | 7,958 | | +| 8192/1024 | 6,938 | 8,361 | 7,874 | 9,407 | 1,881 | +| 32768/1024 | 1,623 | 2,052 | 1,929 | 2,307 | 500 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- @@ -120,16 +123,15 @@ unit: `output tokens per second per GPU` # GPT-OSS 20B -| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | GB200
TP1 (FP4) | H200
TP1 (FP8) | H100
TP1 (FP8) | -|---|---|---|---|---| -| 1000/1000 | 53,812 | 55,823 | 13,858 | 11,557 | -| 1024/1024 | 53,491 | 56,528 | 13,890 | 11,403 | -| 1024/8192 | 34,702 | 38,100 | 12,743 | 8,617 | -| 1024/32768 | 14,589 | 16,463 | | | -| 8192/1024 | 11,904 | 12,941 | 4,015 | 3,366 | -| 32768/1024 | 2,645 | 2,905 | 915 | 785 | +| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | B300* (beta)
TP1 (FP4) | GB200
TP1 (FP4) | GB300* (beta)
TP1 (FP4) | H200
TP1 (FP8) | +|---|---|---|---|---|---| +| 1024/1024 | 59,084 | 60,925 | 51,870 | 53,604 | 14,719 | +| 1024/8192 | 37,824 | 42,986 | 35,280 | 44,998 | 12,441 | +| 1024/32768 | 15,799 | 17,461 | 17,414 | 19,147 | 4,240 | +| 8192/1024 | 13,439 | 14,955 | 15,466 | 16,880 | 4,196 | +| 32768/1024 | 2,970 | 3,408 | 3,331 | 3,833 | 965 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- @@ -137,49 +139,31 @@ unit: `output tokens per second per GPU` # LLaMA v3.3 70B -| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | GB200
TP1 (FP4) | H200
TP2 (FP8) | H100
TP2 (FP8) | -|---|---|---|---|---| -| 1000/1000 | 6,920 | 7,769 | 2,587 | 2,209 | -| 1024/1024 | 6,842 | 7,751 | 2,582 | | -| 1024/8192 | 3,242 | 3,805 | 2,009 | | -| 8192/1024 | 1,362 | 1,491 | 537 | 398 | -| 32768/1024 | 274 | 302 | 120 | | +| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | B300* (beta)
TP1 (FP4) | GB200
TP1 (FP4) | GB300* (beta)
TP1 (FP4) | H200
TP2 (FP8) | +|---|---|---|---|---|---| +| 1024/1024 | 6,943 | 8,196 | 7,576 | 8,910 | 2,637 | +| 1024/8192 | 3,270 | 3,926 | 3,856 | 4,739 | 1,995 | +| 8192/1024 | 1,347 | 1,597 | 1,593 | 1,900 | 544 | +| 32768/1024 | 279 | 351 | 315 | 418 | 120 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- - + # LLaMA v3.3 70B - RTX 6000 Pro Blackwell Server Edition *Shows Tensor Parallel (TP) and Pipeline Parallel (PP) configurations* -| Sequence Length (ISL/OSL) | **1 GPUs**
TP1,PP1 (FP4) | **2 GPUs**
TP1,PP2 (FP4) | -|---|---|---| -| 1000/1000 | 1,724 | 1,901 | -| 1024/1024 | 1,708 | 1,887 | -| 8192/1024 | 296 | 327 | -| 32768/1024 | | 67 | - -unit: `output tokens per second per GPU` - ---- - - - -# LLaMA v4 Maverick - -| Sequence Length (ISL/OSL) | B200
DEP4 (FP4) | GB200
DEP4 (FP4) | H200
DEP8 (FP8) | -|---|---|---|---| -| 1000/1000 | 11,337 | 11,828 | 4,146 | -| 1024/1024 | 11,227 | 11,905 | 4,180 | -| 1024/8192 | 5,174 | 5,508 | 1,157 | -| 1024/32768 | 2,204 | 2,300 | 679 | -| 8192/1024 | 3,279 | 3,444 | 1,276 | -| 32768/1024 | 859 | 963 | | +| Sequence Length (ISL/OSL) | **1 GPUs**
TP1,PP1 (FP4) | **2 GPUs**
TP1,PP2 (FP4) | **4 GPUs**
TP1,PP4 (FP4) | **8 GPUs**
TP1,PP8 (FP4) | +|---|---|---|---|---| +| 1024/1024 | 1,724 | 1,881 | 1,798 | 1,545 | +| 1024/8192 | | | 675 | 630 | +| 8192/1024 | 306 | 329 | 323 | 307 | +| 32768/1024 | | 66 | 66 | 64 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- @@ -187,33 +171,32 @@ unit: `output tokens per second per GPU` # Qwen3 235B A22B -| Sequence Length (ISL/OSL) | B200
DEP4 (FP4) | GB200
DEP4 (FP4) | H200
DEP4 (FP8) | H100
DEP8 (FP8) | -|---|---|---|---|---| -| 1000/1000 | 5,764 | 6,172 | 3,288 | 1,932 | -| 1024/1024 | 5,756 | 5,862 | 3,268 | 1,935 | -| 1024/8192 | 3,389 | 3,423 | 1,417 | 873 | -| 1024/32768 | 1,255 | | | | -| 8192/1024 | 1,410 | 1,464 | 627 | | -| 32768/1024 | 319 | 333 | 134 | | +| Sequence Length (ISL/OSL) | B200
DEP4 (FP4) | B300* (beta)
DEP4 (FP4) | GB200
DEP4 (FP4) | GB300* (beta)
DEP4 (FP4) | H200
DEP4 (FP8) | +|---|---|---|---|---|---| +| 1024/1024 | 6,423 | 8,143 | 6,777 | 8,430 | 3,494 | +| 1024/8192 | 3,881 | 4,938 | 3,955 | 5,110 | 1,677 | +| 1024/32768 | 1,216 | 1,922 | 1,240 | 1,841 | | +| 8192/1024 | 1,518 | 1,730 | 1,575 | 1,791 | 679 | +| 32768/1024 | 326 | 383 | 342 | 398 | 143 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- - + # Qwen3 235B A22B - RTX 6000 Pro Blackwell Server Edition *Shows Tensor Parallel (TP) and Pipeline Parallel (PP) configurations* -| Sequence Length (ISL/OSL) | **4 GPUs**
DEP2,PP2 (FP4) | **8 GPUs**
DEP8,PP1 (FP4) | +| Sequence Length (ISL/OSL) | **4 GPUs**
TP1,PP4 (FP4) | **8 GPUs**
TP1,PP8 (FP4) | |---|---|---| -| 1000/1000 | 1,731 | 969 | -| 1024/1024 | 1,732 | 963 | -| 1024/8192 | 644 | 711 | -| 32768/1024 | 70 | | +| 1024/1024 | 1,529 | 1,185 | +| 1024/8192 | 495 | 495 | +| 8192/1024 | 343 | 337 | +| 32768/1024 | 81 | 83 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- @@ -221,50 +204,43 @@ unit: `output tokens per second per GPU` # Qwen3 30B A3B -| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | GB200
TP1 (FP4) | -|---|---|---| -| 1000/1000 | 26,971 | 22,856 | -| 1024/1024 | 26,611 | 22,201 | -| 1024/8192 | 13,497 | 14,272 | -| 1024/32768 | 4,494 | 4,925 | -| 8192/1024 | 5,735 | 6,201 | -| 32768/1024 | 1,265 | 1,380 | +| Sequence Length (ISL/OSL) | B200
TP1 (FP4) | B300* (beta)
TP1 (FP4) | GB200
TP1 (FP4) | GB300* (beta)
TP1 (FP4) | +|---|---|---|---|---| +| 1024/1024 | 26,431 | 30,714 | 19,682 | 22,536 | +| 1024/8192 | 13,940 | 15,182 | 14,916 | 16,920 | +| 1024/32768 | 4,570 | 5,209 | | | +| 8192/1024 | 5,945 | 6,374 | 6,450 | 6,947 | +| 32768/1024 | 1,284 | 1,452 | 1,398 | 1,575 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- - + # Qwen3 30B A3B - RTX 6000 Pro Blackwell Server Edition *Shows Tensor Parallel (TP) and Pipeline Parallel (PP) configurations* -| Sequence Length (ISL/OSL) | **2 GPUs**
DEP2,PP1 (FP4) | **4 GPUs**
DEP2,PP2 (FP4) | **8 GPUs**
DEP8,PP1 (FP4) | **1 GPUs**
TP1,PP1 (FP4) | +| Sequence Length (ISL/OSL) | **1 GPUs**
TP1,PP1 (FP4) | **2 GPUs**
TP1,PP2 (FP4) | **4 GPUs**
TP1,PP4 (FP4) | **8 GPUs**
TP1,PP8 (FP4) | |---|---|---|---|---| -| 1000/1000 | 8,409 | 7,059 | 3,985 | 9,938 | -| 1024/1024 | | 7,019 | | 9,755 | -| 1024/8192 | 3,577 | | 2,406 | 3,621 | -| 8192/1024 | | 1,416 | | 1,914 | -| 32768/1024 | | | 180 | 374 | +| 1024/1024 | 9,908 | 8,187 | 6,931 | 3,065 | +| 1024/8192 | 3,628 | 3,281 | 3,024 | 1,968 | +| 1024/32768 | | | | 918 | +| 8192/1024 | 1,925 | 1,805 | 1,656 | 1,193 | +| 32768/1024 | 372 | 356 | 349 | 318 | -unit: `output tokens per second per GPU` +*Unit: output tokens per second per GPU* --- - - ## Reproducing Benchmarked Results -```{note} -Only the models shown in the table above are supported by this workflow. -``` - -The following tables are references for commands that are used as part of the benchmarking process. For a more detailed description of this benchmarking workflow, see the [benchmarking suite documentation](./perf-benchmarking.md). +The following tables provide reference commands used in the benchmarking process. For a more detailed description, see the [benchmarking suite documentation](./perf-benchmarking.md). ### Command Overview -Testing was performed using the PyTorch backend - this workflow does not require an engine to be built. +This workflow uses the PyTorch backend and does not require building an engine. | Stage | Description | Command | | :- | - | - | @@ -288,23 +264,20 @@ Testing was performed using the PyTorch backend - this workflow does not require ### Preparing a Dataset -In order to prepare a dataset, you can use the provided [script](source:benchmarks/cpp/prepare_dataset.py). -To generate a synthetic dataset, run the following command: +Use the provided [script](source:benchmarks/cpp/prepare_dataset.py) to generate a synthetic dataset. +Run the following command: ```shell python benchmarks/cpp/prepare_dataset.py --tokenizer=$model_name --stdout token-norm-dist --num-requests=$num_requests --input-mean=$isl --output-mean=$osl --input-stdev=0 --output-stdev=0 > $dataset_file ``` -The command will generate a text file located at the path specified `$dataset_file` where all requests are of the same -input/output sequence length combinations. The script works by using the tokenizer to retrieve the vocabulary size and -randomly sample token IDs from it to create entirely random sequences. In the command above, all requests will be uniform +This generates a text file at the path specified by `$dataset_file` where all requests share the same +input/output sequence length combination. The script uses the tokenizer to retrieve the vocabulary size and +randomly samples token IDs to create entirely random sequences. All requests are uniform because the standard deviations for both input and output sequences are set to 0. -For each input and output sequence length combination, the table below details the `$num_requests` that were used. For -shorter input and output lengths, a larger number of messages were used to guarantee that the system hit a steady state -because requests enter and exit the system at a much faster rate. For longer input/output sequence lengths, requests -remain in the system longer and therefore require less requests to achieve steady state. +The table below lists the `$num_requests` used for each input/output sequence length combination. Shorter sequences cycle through faster and need more requests to reach steady state; longer sequences need fewer. | Input Length | Output Length | Number of Requests | @@ -317,13 +290,11 @@ remain in the system longer and therefore require less requests to achieve stead ### Running the Benchmark -To run the benchmark with the generated data set, simply use the `trtllm-bench throughput` subcommand. The benchmarker will -run an offline maximum throughput scenario such that all requests are queued in rapid succession. You simply need to provide -a model name (HuggingFace reference or path to a local model), a [generated dataset](#preparing-a-dataset), and a file containing any desired extra options to the LLM APIs (details in [tensorrt_llm/llmapi/llm_args.py:LlmArgs](source:tensorrt_llm/llmapi/llm_args.py)). +Run the benchmark using the `trtllm-bench throughput` subcommand. This runs an offline maximum throughput scenario where all requests are queued in rapid succession. Provide a model name (HuggingFace reference or path to a local model), a [generated dataset](#preparing-a-dataset), and a YAML config file with additional LLM options (see [tensorrt_llm/llmapi/llm_args.py:LlmArgs](source:tensorrt_llm/llmapi/llm_args.py)). For dense / non-MoE models: ```shell -trtllm-bench --tp $tp_size --pp $pp_size --model $model_name throughput --dataset $dataset_file --backend pytorch --config $llm_options +trtllm-bench --tp $tp_size --pp $pp_size --model $model_name throughput --dataset $dataset_file --backend pytorch --config $llm_options --concurrency -1 ``` Llama 3.3 @@ -337,7 +308,7 @@ cuda_graph_config: For MoE models: ```shell -trtllm-bench --tp $tp_size --pp $pp_size --ep $ep_size --model $model_name throughput --dataset $dataset_file --backend pytorch --config $llm_options +trtllm-bench --tp $tp_size --pp $pp_size --ep $ep_size --model $model_name throughput --dataset $dataset_file --backend pytorch --config $llm_options --concurrency -1 ``` GPT-OSS: @@ -352,7 +323,7 @@ kv_cache_config: dtype: fp8 # Hopper: use auto moe_config: - backend: CUTLASS + backend: TRTLLM # Hopper: use TRITON ``` @@ -374,6 +345,20 @@ kv_cache_config: dtype: fp8 ``` +Kimi K2: + +`llm_options.yml` +```yaml +enable_attention_dp: true +cuda_graph_config: + enable_padding: true + batch_sizes: [1, 2, 4, 8, 16, 32, 64, 128, 256, 384] +moe_config: + backend: CUTLASS +kv_cache_config: + dtype: auto +``` + Qwen3 MoE, Llama4 Maverick: `llm_options.yml` @@ -384,9 +369,7 @@ cuda_graph_config: batch_sizes: [1, 2, 4, 8, 16, 32, 64, 128, 256, 384, 512, 1024, 2048, 4096, 8192] ``` -In many cases, we also use a higher KV cache percentage by setting `--kv_cache_free_gpu_mem_fraction 0.95` in the benchmark command. This allows us to obtain better performance than the default setting of `0.90`. We fall back to `0.90` or lower if out-of-memory errors are encountered. - -The results will be printed to the terminal upon benchmark completion. For example, +Results are printed to the terminal upon benchmark completion. For example: ```shell =========================================================== @@ -434,6 +417,5 @@ Average time-per-output-token [TPOT] (ms): 182.9639 [Latency] AVERAGE: 75903.4456 ``` -> [!WARNING] In some cases, the benchmarker may not print anything at all. This behavior usually -means that the benchmark has hit an out of memory issue. Try reducing the KV cache percentage -using the `--kv_cache_free_gpu_mem_fraction` option to lower the percentage of used memory. +> [!WARNING] If the benchmarker does not print any output, this typically indicates an out-of-memory issue. Reduce the KV cache percentage +using the `--kv_cache_free_gpu_mem_fraction` option to lower memory usage. From 964769828455b13f1b1dbf52c1059c2bb83a2915 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Fri, 13 Mar 2026 04:29:06 +0000 Subject: [PATCH 207/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 52 ++++----- .../examples/draft_target_model/poetry.lock | 52 ++++----- security_scanning/examples/eagle/poetry.lock | 52 ++++----- .../llm-eval/lm-eval-harness/poetry.lock | 52 ++++----- .../examples/lookahead/poetry.lock | 52 ++++----- security_scanning/examples/medusa/poetry.lock | 52 ++++----- .../models/contrib/baichuan/poetry.lock | 52 ++++----- .../examples/models/contrib/bloom/poetry.lock | 52 ++++----- .../models/contrib/chatglm-6b/poetry.lock | 52 ++++----- .../models/contrib/chatglm2-6b/poetry.lock | 52 ++++----- .../contrib/chatglm3-6b-32k/poetry.lock | 52 ++++----- .../examples/models/contrib/dbrx/poetry.lock | 52 ++++----- .../models/contrib/deepseek_v1/poetry.lock | 52 ++++----- .../models/contrib/deepseek_v2/poetry.lock | 52 ++++----- .../models/contrib/falcon/poetry.lock | 52 ++++----- .../examples/models/contrib/gptj/poetry.lock | 52 ++++----- .../models/contrib/gptneox/poetry.lock | 52 ++++----- .../examples/models/contrib/grok/poetry.lock | 104 +++++++++--------- .../models/contrib/hyperclovax/poetry.lock | 52 ++++----- .../models/contrib/internlm/poetry.lock | 52 ++++----- .../examples/models/contrib/jais/poetry.lock | 52 ++++----- .../examples/models/contrib/mmdit/poetry.lock | 52 ++++----- .../examples/models/contrib/mpt/poetry.lock | 52 ++++----- .../examples/models/contrib/opt/poetry.lock | 52 ++++----- .../models/contrib/skywork/poetry.lock | 52 ++++----- .../examples/models/contrib/smaug/poetry.lock | 52 ++++----- .../examples/models/contrib/stdit/poetry.lock | 52 ++++----- .../examples/models/core/commandr/poetry.lock | 52 ++++----- .../examples/models/core/gemma/poetry.lock | 104 +++++++++--------- .../examples/models/core/glm-4-9b/poetry.lock | 52 ++++----- .../examples/models/core/gpt/poetry.lock | 52 ++++----- .../examples/models/core/llama/poetry.lock | 52 ++++----- .../examples/models/core/mamba/poetry.lock | 52 ++++----- .../examples/models/core/mixtral/poetry.lock | 52 ++++----- .../examples/models/core/mllama/poetry.lock | 52 ++++----- .../examples/models/core/nemotron/poetry.lock | 52 ++++----- .../examples/models/core/phi/poetry.lock | 52 ++++----- .../examples/models/core/qwen/poetry.lock | 98 ++++++++--------- .../models/core/qwen2audio/poetry.lock | 52 ++++----- .../examples/models/core/qwenvl/poetry.lock | 52 ++++----- .../models/core/recurrentgemma/poetry.lock | 104 +++++++++--------- .../examples/models/core/whisper/poetry.lock | 52 ++++----- security_scanning/examples/ngram/poetry.lock | 52 ++++----- .../examples/quantization/poetry.lock | 52 ++++----- .../examples/ray_orchestrator/poetry.lock | 25 +---- .../examples/redrafter/poetry.lock | 52 ++++----- security_scanning/examples/serve/poetry.lock | 58 +++++----- .../examples/serve/pyproject.toml | 2 +- .../examples/trtllm-eval/poetry.lock | 52 ++++----- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 52 ++++----- security_scanning/triton_backend/poetry.lock | 52 ++++----- 52 files changed, 1386 insertions(+), 1401 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index cf1461c21533..b7ffecf24f8c 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -990,38 +990,38 @@ files = [ [[package]] name = "hf-xet" -version = "1.4.0" +version = "1.4.1" description = "Fast transfer of large files with the Hugging Face Hub." optional = false python-versions = ">=3.8" groups = ["main"] markers = "platform_machine == \"x86_64\" 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{file = "pydantic_extra_types-2.11.0.tar.gz", hash = "sha256:4e9991959d045b75feb775683437a97991d02c138e00b59176571db9ce634f0e"}, + {file = "pydantic_extra_types-2.11.1-py3-none-any.whl", hash = "sha256:1722ea2bddae5628ace25f2aa685b69978ef533123e5638cfbddb999e0100ec1"}, + {file = "pydantic_extra_types-2.11.1.tar.gz", hash = "sha256:46792d2307383859e923d8fcefa82108b1a141f8a9c0198982b3832ab5ef1049"}, ] [package.dependencies] @@ -4851,13 +4851,14 @@ pydantic = ">=2.5.2" typing-extensions = "*" [package.extras] -all = ["cron-converter (>=1.2.2)", "pendulum (>=3.0.0,<4.0.0)", "phonenumbers (>=8,<10)", "pycountry (>=23)", "pymongo (>=4.0.0,<5.0.0)", "python-ulid (>=1,<2) ; python_version < \"3.9\"", "python-ulid (>=1,<4) ; python_version >= \"3.9\"", "pytz (>=2024.1)", "semver (>=3.0.2)", "semver (>=3.0.2,<3.1.0)", "tzdata (>=2024.1)"] +all = ["cron-converter (>=1.2.2)", "pendulum (>=3.0.0,<4.0.0)", "phonenumbers (>=8,<10)", "pycountry (>=23)", "pymongo (>=4.0.0,<5.0.0)", "python-ulid (>=1,<2) ; python_version < \"3.9\"", "python-ulid (>=1,<4) ; python_version >= \"3.9\"", "pytz (>=2024.1)", "semver (>=3.0.2)", "semver (>=3.0.2,<3.1.0)", "tzdata (>=2024.1)", "uuid-utils (>=0.6.0) ; python_version < \"3.14\""] cron = ["cron-converter (>=1.2.2)"] pendulum = ["pendulum (>=3.0.0,<4.0.0)"] phonenumbers = ["phonenumbers (>=8,<10)"] pycountry = ["pycountry (>=23)"] python-ulid = ["python-ulid (>=1,<2) ; python_version < \"3.9\"", "python-ulid (>=1,<4) ; python_version >= \"3.9\""] semver = ["semver (>=3.0.2)"] +uuid-utils = ["uuid-utils (>=0.6.0) ; python_version < \"3.14\""] [[package]] name = "pydantic-settings" @@ -6447,14 +6448,14 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""] [[package]] name = "uvicorn" -version = "0.41.0" +version = "0.42.0" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "uvicorn-0.41.0-py3-none-any.whl", hash = "sha256:29e35b1d2c36a04b9e180d4007ede3bcb32a85fbdfd6c6aeb3f26839de088187"}, - {file = "uvicorn-0.41.0.tar.gz", hash = "sha256:09d11cf7008da33113824ee5a1c6422d89fbc2ff476540d69a34c87fab8b571a"}, + {file = "uvicorn-0.42.0-py3-none-any.whl", hash = "sha256:96c30f5c7abe6f74ae8900a70e92b85ad6613b745d4879eb9b16ccad15645359"}, + {file = "uvicorn-0.42.0.tar.gz", hash = "sha256:9b1f190ce15a2dd22e7758651d9b6d12df09a13d51ba5bf4fc33c383a48e1775"}, ] [package.dependencies] @@ -6828,4 +6829,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "e303750b1930b6c3fe6fc84df479f0f0bac1945c4752737beb4186c189d4662e" +content-hash = "a0edc96b4d42ef6b4db842fed1100e4b4448212831c4348ec0e14297f85dc7e6" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 12334176e9a4..4514c11ea2fa 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -48,7 +48,7 @@ dependencies = [ "pyzmq (>=27.1.0,<28.0.0)", "fastapi (>=0.120.1,<=0.121.3)", "starlette (>=0.49.1)", - "uvicorn (>=0.41.0,<0.42.0)", + "uvicorn (>=0.42.0,<0.43.0)", "setuptools (<80)", "ordered-set (>=4.1.0,<5.0.0)", "peft (>=0.18.1,<0.19.0)", diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 203af8220fb1..e4306c4433ae 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -604,13 +604,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.2" +version = "1.4.3" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.4.2-py3-none-any.whl", hash = "sha256:eb354abc20278f8609dc5b666a24648655bef5613c6dfe78a238a6fd95566754"}, + {file = "cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c"}, ] [[package]] From bd3a0c185390ac153360a81e21ea663d93fbdfb1 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 18 Mar 2026 04:24:50 +0000 Subject: [PATCH 212/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 8 ++++---- .../examples/models/core/qwen/poetry.lock | 16 ++++++++-------- .../examples/models/core/qwen/pyproject.toml | 4 ++-- security_scanning/metadata.json | 4 ++-- security_scanning/poetry.lock | 10 +++++----- security_scanning/pyproject.toml | 2 +- 6 files changed, 22 insertions(+), 22 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index 4e81643ab912..edd75b41f4f3 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -275,14 +275,14 @@ files = [ [[package]] name = "openai" -version = "2.28.0" +version = "2.29.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.28.0-py3-none-any.whl", hash = "sha256:79aa5c45dba7fef84085701c235cf13ba88485e1ef4f8dfcedc44fc2a698fc1d"}, - {file = "openai-2.28.0.tar.gz", hash = "sha256:bb7fdff384d2a787fa82e8822d1dd3c02e8cf901d60f1df523b7da03cbb6d48d"}, + {file = "openai-2.29.0-py3-none-any.whl", hash = "sha256:b7c5de513c3286d17c5e29b92c4c98ceaf0d775244ac8159aeb1bddf840eb42a"}, + {file = "openai-2.29.0.tar.gz", hash = "sha256:32d09eb2f661b38d3edd7d7e1a2943d1633f572596febe64c0cd370c86d52bec"}, ] [package.dependencies] @@ -293,7 +293,7 @@ jiter = ">=0.10.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" tqdm = ">4" -typing-extensions = ">=4.11,<5" +typing-extensions = ">=4.14,<5" [package.extras] aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 5bb3bdb4885e..1a978a3fabb4 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -1697,14 +1697,14 @@ files = [ [[package]] name = "openai" -version = "2.28.0" +version = "2.29.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.28.0-py3-none-any.whl", hash = "sha256:79aa5c45dba7fef84085701c235cf13ba88485e1ef4f8dfcedc44fc2a698fc1d"}, - {file = "openai-2.28.0.tar.gz", hash = "sha256:bb7fdff384d2a787fa82e8822d1dd3c02e8cf901d60f1df523b7da03cbb6d48d"}, + {file = "openai-2.29.0-py3-none-any.whl", hash = "sha256:b7c5de513c3286d17c5e29b92c4c98ceaf0d775244ac8159aeb1bddf840eb42a"}, + {file = "openai-2.29.0.tar.gz", hash = "sha256:32d09eb2f661b38d3edd7d7e1a2943d1633f572596febe64c0cd370c86d52bec"}, ] [package.dependencies] @@ -1715,7 +1715,7 @@ jiter = ">=0.10.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" tqdm = ">4" -typing-extensions = ">=4.11,<5" +typing-extensions = ">=4.14,<5" [package.extras] aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"] @@ -2950,14 +2950,14 @@ files = [ [[package]] name = "sse-starlette" -version = "3.3.2" +version = "3.3.3" description = "SSE plugin for Starlette" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "sse_starlette-3.3.2-py3-none-any.whl", hash = "sha256:5c3ea3dad425c601236726af2f27689b74494643f57017cafcb6f8c9acfbb862"}, - {file = "sse_starlette-3.3.2.tar.gz", hash = "sha256:678fca55a1945c734d8472a6cad186a55ab02840b4f6786f5ee8770970579dcd"}, + {file = "sse_starlette-3.3.3-py3-none-any.whl", hash = "sha256:c5abb5082a1cc1c6294d89c5290c46b5f67808cfdb612b7ec27e8ba061c22e8d"}, + {file = "sse_starlette-3.3.3.tar.gz", hash = "sha256:72a95d7575fd5129bd0ae15275ac6432bb35ac542fdebb82889c24bb9f3f4049"}, ] [package.dependencies] @@ -3681,4 +3681,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "9b86c9ead3f0717132ea1a2b7fdf8021b3a9a73c8fb35d87986912b79ebaea5f" +content-hash = "90d7753109658a4906eadb89737715e8be69daf88ce4e87ceeaa2f7fd841bde0" diff --git a/security_scanning/examples/models/core/qwen/pyproject.toml b/security_scanning/examples/models/core/qwen/pyproject.toml index f5b4ace586d1..a6bcbc8b4858 100644 --- a/security_scanning/examples/models/core/qwen/pyproject.toml +++ b/security_scanning/examples/models/core/qwen/pyproject.toml @@ -17,9 +17,9 @@ dependencies = [ "einops (>=0.8.2,<0.9.0)", "gradio (==5.4.0)", "mdtex2html (>=1.3.2,<2.0.0)", - "sse-starlette (>=3.3.2,<4.0.0)", + "sse-starlette (>=3.3.3,<4.0.0)", "aiohttp-sse-client (>=0.2.1,<0.3.0)", - "openai (>=2.28.0,<3.0.0)" + "openai (>=2.29.0,<3.0.0)" ] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 0687979eb9ba..62af8c00b8ed 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "75c8de8fba2a92ceded68008d5a5d59204e52099", - "timestamp": "2026-03-17T04:01:29Z" + "commit_hash": "732145735a694c7b2cdb8a45ebfa5f7facb5f28d", + "timestamp": "2026-03-18T04:01:37Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 88d0ddb06733..6a3c7fab18cf 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -3780,14 +3780,14 @@ onnx = ">=1.14.0" [[package]] name = "openai" -version = "2.28.0" +version = "2.29.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "openai-2.28.0-py3-none-any.whl", hash = "sha256:79aa5c45dba7fef84085701c235cf13ba88485e1ef4f8dfcedc44fc2a698fc1d"}, - {file = "openai-2.28.0.tar.gz", hash = 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a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy (<2)", "onnx (>=1.18.0,<1.20.0)", "onnx-graphsurgeon (>=0.5.2)", - "openai (>=2.28.0,<3.0.0)", + "openai (>=2.29.0,<3.0.0)", "polygraphy (>=0.49.26,<0.50.0)", "psutil (>=7.2.2,<8.0.0)", "nvidia-ml-py (>=13)", From 0dd918188aabdb8b07e9ce80949f941cd21c8aba Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 19 Mar 2026 04:23:27 +0000 Subject: [PATCH 213/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/ray_orchestrator/poetry.lock | 28 ++++----- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 59 +++++++++---------- security_scanning/pyproject.toml | 2 +- 4 files changed, 45 insertions(+), 48 deletions(-) diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock 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6 +-- .../contrib/chatglm3-6b-32k/poetry.lock | 6 +-- .../examples/models/contrib/dbrx/poetry.lock | 6 +-- .../models/contrib/deepseek_v1/poetry.lock | 6 +-- .../models/contrib/deepseek_v2/poetry.lock | 6 +-- .../models/contrib/falcon/poetry.lock | 6 +-- .../examples/models/contrib/gptj/poetry.lock | 6 +-- .../models/contrib/gptneox/poetry.lock | 6 +-- .../examples/models/contrib/grok/poetry.lock | 6 +-- .../models/contrib/internlm/poetry.lock | 6 +-- .../examples/models/contrib/jais/poetry.lock | 6 +-- .../examples/models/contrib/mmdit/poetry.lock | 14 +++--- .../examples/models/contrib/mpt/poetry.lock | 6 +-- .../examples/models/contrib/opt/poetry.lock | 6 +-- .../models/contrib/skywork/poetry.lock | 6 +-- .../examples/models/contrib/smaug/poetry.lock | 6 +-- .../examples/models/contrib/stdit/poetry.lock | 6 +-- .../examples/models/core/commandr/poetry.lock | 6 +-- .../examples/models/core/gemma/poetry.lock | 6 +-- .../examples/models/core/glm-4-9b/poetry.lock | 6 +-- .../examples/models/core/gpt/poetry.lock | 6 +-- .../examples/models/core/llama/poetry.lock | 6 +-- .../examples/models/core/mamba/poetry.lock | 6 +-- .../examples/models/core/nemotron/poetry.lock | 6 +-- .../examples/models/core/phi/poetry.lock | 6 +-- .../examples/models/core/qwen/poetry.lock | 44 +++++++++---------- .../models/core/qwen2audio/poetry.lock | 6 +-- .../examples/models/core/qwenvl/poetry.lock | 6 +-- .../models/core/recurrentgemma/poetry.lock | 6 +-- .../examples/models/core/whisper/poetry.lock | 6 +-- security_scanning/examples/ngram/poetry.lock | 6 +-- .../examples/quantization/poetry.lock | 6 +-- .../examples/ray_orchestrator/poetry.lock | 6 +-- .../examples/redrafter/poetry.lock | 6 +-- security_scanning/examples/serve/poetry.lock | 26 +++++------ .../examples/trtllm-eval/poetry.lock | 12 ++--- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 26 +++++------ security_scanning/triton_backend/poetry.lock | 6 +-- 49 files changed, 198 insertions(+), 198 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index dc871e1e3b62..21b5e140bc36 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ b/security_scanning/cpp/kernels/fmha_v2/poetry.lock @@ -2,14 +2,14 @@ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 58c4e955ec4e..7c0632993956 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -330,14 +330,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] @@ -633,14 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--- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index d2d5b8c00317..b9e2292d81a5 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 1a2ea9e9387a..4a605281e32f 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -263,14 +263,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] @@ -539,14 +539,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)", "tcolorpy (>=0.1.2)"] [[package]] name = "datasets" -version = "4.8.2" 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b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index ec74da4339f9..5d09f75050f0 100644 --- 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a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index d4ff8ae42612..80363cb4a0bc 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index 9b4235aa2202..d4055371e2a2 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = 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= [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index e7bb6e04d508..2448517f508e 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -469,27 +469,27 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "importlib-metadata" -version = "8.7.1" +version = "8.8.0" description = "Read metadata from Python packages" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, - {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, + {file = "importlib_metadata-8.8.0-py3-none-any.whl", hash = "sha256:f05c37e6b05dc776a1f0bfc39b890634476404ec8449427f7db938e236c4c54e"}, + {file = "importlib_metadata-8.8.0.tar.gz", hash = "sha256:d4ae075d546a9c2db36f0ba957f15f9443c9604e57d0785701621cb7ea2ec5d7"}, ] [package.dependencies] zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", 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optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index 9b4235aa2202..d4055371e2a2 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index da7e827f280e..e1abe1eb7ff8 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index da7e827f280e..e1abe1eb7ff8 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index f30deaf824a6..4680e9e5d30c 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -34,14 +34,14 @@ trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index 9b4235aa2202..d4055371e2a2 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 7f9c282c1792..b3bd19718093 100644 --- 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b/security_scanning/examples/models/core/whisper/poetry.lock index 11085d101c85..39cfaf7c9275 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -218,14 +218,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index b1fe9acbddd8..e23c6c077225 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 6d20d864cc8d..d14110f58e4c 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/ray_orchestrator/poetry.lock b/security_scanning/examples/ray_orchestrator/poetry.lock index 83b145190cb8..a42f0f1a0a7f 100644 --- a/security_scanning/examples/ray_orchestrator/poetry.lock +++ b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -213,14 +213,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 65b567e10655..1384237f90ee 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 0befeb472792..c5fb982e8491 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -292,14 +292,14 @@ files = [ [[package]] name = "attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] @@ -1389,27 +1389,27 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "importlib-metadata" -version = "8.7.1" +version = "8.8.0" description = "Read metadata from Python packages" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, - {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, + {file = "importlib_metadata-8.8.0-py3-none-any.whl", hash = "sha256:f05c37e6b05dc776a1f0bfc39b890634476404ec8449427f7db938e236c4c54e"}, + {file = "importlib_metadata-8.8.0.tar.gz", hash = "sha256:d4ae075d546a9c2db36f0ba957f15f9443c9604e57d0785701621cb7ea2ec5d7"}, ] [package.dependencies] zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=3.4)"] perf = ["ipython"] -test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] +test = ["packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] +type = ["pytest-mypy (>=1.0.1) ; platform_python_implementation != \"PyPy\""] [[package]] name = "iniconfig" @@ -2299,14 +2299,14 @@ files = [ [[package]] name = "nvidia-ml-py" -version = "13.590.48" +version = "13.595.45" description = "Python Bindings for the NVIDIA Management Library" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "nvidia_ml_py-13.590.48-py3-none-any.whl", hash = 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"attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] @@ -539,14 +539,14 @@ test = ["pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)", "tcolorpy (>=0.1.2)"] [[package]] name = "datasets" -version = "4.8.2" +version = "4.8.3" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "datasets-4.8.2-py3-none-any.whl", hash = "sha256:433a07acb2e5c7e413e54a579cf2fb161397eecb36bc1a99439f0df103f15ae5"}, - {file = "datasets-4.8.2.tar.gz", hash = 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"attrs" -version = "25.4.0" +version = "26.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, - {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, + {file = "attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] @@ -1912,27 +1912,27 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "importlib-metadata" -version = "8.7.1" +version = "8.8.0" description = "Read metadata from Python packages" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "importlib_metadata-8.7.1-py3-none-any.whl", hash = "sha256:5a1f80bf1daa489495071efbb095d75a634cf28a8bc299581244063b53176151"}, - {file = "importlib_metadata-8.7.1.tar.gz", hash = "sha256:49fef1ae6440c182052f407c8d34a68f72efc36db9ca90dc0113398f2fdde8bb"}, + {file = "importlib_metadata-8.8.0-py3-none-any.whl", hash = "sha256:f05c37e6b05dc776a1f0bfc39b890634476404ec8449427f7db938e236c4c54e"}, + {file = "importlib_metadata-8.8.0.tar.gz", hash = "sha256:d4ae075d546a9c2db36f0ba957f15f9443c9604e57d0785701621cb7ea2ec5d7"}, ] [package.dependencies] zipp = ">=3.20" [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] +check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=3.4)"] perf = ["ipython"] -test = ["flufl.flake8", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] -type = ["mypy (<1.19) ; platform_python_implementation == \"PyPy\"", "pytest-mypy (>=1.0.1)"] +test = ["packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] +type = ["pytest-mypy (>=1.0.1) ; platform_python_implementation != \"PyPy\""] [[package]] name = "jinja2" @@ -3540,14 +3540,14 @@ typing-extensions = "*" [[package]] name = "nvidia-ml-py" -version = "13.590.48" +version = "13.595.45" description = "Python Bindings for the NVIDIA Management Library" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "nvidia_ml_py-13.590.48-py3-none-any.whl", hash = "sha256:fd43d30ee9cd0b7940f5f9f9220b68d42722975e3992b6c21d14144c48760e43"}, - {file = "nvidia_ml_py-13.590.48.tar.gz", hash = "sha256:8184d1be52914ac7f0991cd1c0d946c65dc88a840c754cd12c274b77b88760dd"}, + {file = "nvidia_ml_py-13.595.45-py3-none-any.whl", hash = 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"sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309"}, + {file = "attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32"}, ] [[package]] From 31e8fe50a12f41fbd40a787d54af2d471d414ebe Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 21 Mar 2026 04:27:47 +0000 Subject: [PATCH 215/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 6 ++-- .../examples/draft_target_model/poetry.lock | 6 ++-- security_scanning/examples/eagle/poetry.lock | 6 ++-- .../llm-eval/lm-eval-harness/poetry.lock | 6 ++-- .../examples/lookahead/poetry.lock | 6 ++-- security_scanning/examples/medusa/poetry.lock | 6 ++-- .../models/contrib/baichuan/poetry.lock | 6 ++-- .../examples/models/contrib/bloom/poetry.lock | 6 ++-- .../models/contrib/chatglm-6b/poetry.lock | 26 +++++++------- .../models/contrib/chatglm-6b/pyproject.toml | 2 +- .../models/contrib/chatglm2-6b/poetry.lock | 26 +++++++------- .../models/contrib/chatglm2-6b/pyproject.toml | 2 +- .../contrib/chatglm3-6b-32k/poetry.lock | 26 +++++++------- .../contrib/chatglm3-6b-32k/pyproject.toml | 2 +- .../examples/models/contrib/dbrx/poetry.lock | 6 ++-- .../models/contrib/deepseek_v1/poetry.lock | 6 ++-- .../models/contrib/deepseek_v2/poetry.lock | 6 ++-- .../models/contrib/falcon/poetry.lock | 6 ++-- .../examples/models/contrib/gptj/poetry.lock | 6 ++-- .../models/contrib/gptneox/poetry.lock | 6 ++-- .../examples/models/contrib/grok/poetry.lock | 24 ++++++------- .../models/contrib/hyperclovax/poetry.lock | 6 ++-- .../models/contrib/internlm/poetry.lock | 6 ++-- .../examples/models/contrib/jais/poetry.lock | 6 ++-- .../examples/models/contrib/mmdit/poetry.lock | 12 +++---- .../examples/models/contrib/mpt/poetry.lock | 6 ++-- .../examples/models/contrib/opt/poetry.lock | 6 ++-- .../models/contrib/skywork/poetry.lock | 6 ++-- .../examples/models/contrib/smaug/poetry.lock | 6 ++-- .../examples/models/contrib/stdit/poetry.lock | 26 +++++++------- .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 6 ++-- .../examples/models/core/gemma/poetry.lock | 30 ++++++++-------- .../examples/models/core/glm-4-9b/poetry.lock | 26 +++++++------- .../models/core/glm-4-9b/pyproject.toml | 2 +- .../examples/models/core/gpt/poetry.lock | 6 ++-- .../examples/models/core/llama/poetry.lock | 6 ++-- .../examples/models/core/mamba/poetry.lock | 6 ++-- .../examples/models/core/nemotron/poetry.lock | 6 ++-- .../examples/models/core/phi/poetry.lock | 6 ++-- .../examples/models/core/qwen/poetry.lock | 6 ++-- .../models/core/qwen2audio/poetry.lock | 6 ++-- .../examples/models/core/qwenvl/poetry.lock | 6 ++-- .../models/core/recurrentgemma/poetry.lock | 24 ++++++------- .../examples/models/core/whisper/poetry.lock | 6 ++-- security_scanning/examples/ngram/poetry.lock | 6 ++-- .../examples/quantization/poetry.lock | 6 ++-- .../examples/redrafter/poetry.lock | 6 ++-- security_scanning/examples/serve/poetry.lock | 12 +++---- .../examples/trtllm-eval/poetry.lock | 6 ++-- security_scanning/metadata.json | 4 +-- security_scanning/poetry.lock | 34 +++++++++---------- security_scanning/pyproject.toml | 2 +- 53 files changed, 246 insertions(+), 246 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 7c0632993956..ce3bd3915228 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1092,14 +1092,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the 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[[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index b9e2292d81a5..51d48b638d34 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 4a605281e32f..54225cedd1a7 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -947,14 +947,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = 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5d09f75050f0..3b89424d0582 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = 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a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index d4055371e2a2..d63b6457fecd 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = 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a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -349,14 +349,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 1384237f90ee..93d332aff548 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = 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--- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index e1abe1eb7ff8..953d7bd1b21b 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = 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a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index e1abe1eb7ff8..953d7bd1b21b 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = 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927a1e1ae75e..0fce04ae6b77 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -996,14 +996,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] 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hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/redrafter/poetry.lock b/security_scanning/examples/redrafter/poetry.lock index 1384237f90ee..93d332aff548 100644 --- a/security_scanning/examples/redrafter/poetry.lock +++ b/security_scanning/examples/redrafter/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index c5fb982e8491..648da62dc0bf 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -1339,14 +1339,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] @@ -1389,14 +1389,14 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "importlib-metadata" -version = "8.8.0" +version = "9.0.0" description = "Read metadata from Python packages" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "importlib_metadata-8.8.0-py3-none-any.whl", hash = "sha256:f05c37e6b05dc776a1f0bfc39b890634476404ec8449427f7db938e236c4c54e"}, - {file = "importlib_metadata-8.8.0.tar.gz", hash = "sha256:d4ae075d546a9c2db36f0ba957f15f9443c9604e57d0785701621cb7ea2ec5d7"}, + {file = "importlib_metadata-9.0.0-py3-none-any.whl", hash = "sha256:2d21d1cc5a017bd0559e36150c21c830ab1dc304dedd1b7ea85d20f45ef3edd7"}, + {file = "importlib_metadata-9.0.0.tar.gz", hash = "sha256:a4f57ab599e6a2e3016d7595cfd72eb4661a5106e787a95bcc90c7105b831efc"}, ] [package.dependencies] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index 8e39b2649cd6..9aeb85880fce 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -947,14 +947,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.1" +version = "1.7.2" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.1-py3-none-any.whl", hash = "sha256:38c6cce7419bbde8caac26a45ed22b0cea24152a8961565d70ec21f88752bfaa"}, - {file = "huggingface_hub-1.7.1.tar.gz", hash = "sha256:be38fe66e9b03c027ad755cb9e4b87ff0303c98acf515b5d579690beb0bf3048"}, + {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, + {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index bf04f6f4a5ac..302dcda3988d 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "0dd918188aabdb8b07e9ce80949f941cd21c8aba", - "timestamp": "2026-03-20T04:01:14Z" + "commit_hash": "78f820aa9a38ef6653df063e40c6b1acc767c941", + "timestamp": "2026-03-21T04:01:23Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 5dff5a6ffa48..133f903fb197 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -35,15 +35,15 @@ testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", [[package]] name = "aenum" -version = "3.1.16" +version = "3.1.17" description = "Advanced Enumerations (compatible with Python's stdlib Enum), NamedTuples, and NamedConstants" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "aenum-3.1.16-py2-none-any.whl", hash = "sha256:7810cbb6b4054b7654e5a7bafbe16e9ee1d25ef8e397be699f63f2f3a5800433"}, - {file = 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["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "8fc8a155ef64adb8bb53907163e4cf0ff79167cda8daae18c34fba3c02997406" +content-hash = "79fffb5441f02ed32ac3dcab37cbea588e4bd359ae3593f6a62019dd38bc33fa" diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index 2bd621d37c18..73ce428faa0a 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -44,7 +44,7 @@ dependencies = [ "mpmath (>=1.3.0)", "click (>=8.3.1,<9.0.0)", "click-option-group (>=0.5.9,<0.6.0)", - "aenum (>=3.1.16,<4.0.0)", + "aenum (>=3.1.17,<4.0.0)", "pyzmq (>=27.1.0,<28.0.0)", "fastapi (>=0.120.1,<=0.121.3)", "starlette (>=0.49.1)", From 5ecb150727c033dc7302e3c35765657aa497cba2 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sun, 22 Mar 2026 04:23:09 +0000 Subject: [PATCH 216/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 302dcda3988d..725b42450772 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "78f820aa9a38ef6653df063e40c6b1acc767c941", - "timestamp": "2026-03-21T04:01:23Z" + "commit_hash": "31e8fe50a12f41fbd40a787d54af2d471d414ebe", + "timestamp": "2026-03-22T04:01:08Z" } From 15462b1f5fa5416b402ed676ca02dce10dc3d63d Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 23 Mar 2026 04:29:04 +0000 Subject: [PATCH 217/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 725b42450772..b70a99b6e326 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "31e8fe50a12f41fbd40a787d54af2d471d414ebe", - "timestamp": "2026-03-22T04:01:08Z" + "commit_hash": "5ecb150727c033dc7302e3c35765657aa497cba2", + "timestamp": "2026-03-23T04:01:29Z" } From 45c819e231b5cb389de813a9b8b16e7fa155ecaf Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Tue, 24 Mar 2026 04:22:25 +0000 Subject: [PATCH 218/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 415 +++++++-------- .../llm-eval/lm-eval-harness/poetry.lock | 407 ++++++++------- .../examples/models/contrib/grok/poetry.lock | 22 +- .../models/contrib/hyperclovax/poetry.lock | 472 +++++++++--------- .../models/contrib/hyperclovax/pyproject.toml | 2 +- .../examples/models/contrib/stdit/poetry.lock | 404 ++++++++------- .../examples/models/core/mixtral/poetry.lock | 402 ++++++++------- .../examples/models/core/mllama/poetry.lock | 464 +++++++++-------- .../examples/models/core/qwen/poetry.lock | 8 +- .../examples/models/core/qwenvl/poetry.lock | 472 +++++++++--------- .../models/core/qwenvl/pyproject.toml | 2 +- .../examples/models/core/whisper/poetry.lock | 404 ++++++++------- security_scanning/examples/serve/poetry.lock | 12 +- .../examples/trtllm-eval/poetry.lock | 407 ++++++++------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 74 ++- security_scanning/triton_backend/poetry.lock | 4 +- 17 files changed, 2102 insertions(+), 1873 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index ce3bd3915228..3b6e894bfb38 100644 --- 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+cuda-bindings = {version = ">=13.0.3,<14", markers = "platform_system == \"Linux\""} +cuda-toolkit = {version = "13.0.2", extras = ["cublas", "cudart", "cufft", "cufile", "cupti", "curand", "cusolver", "cusparse", "nvjitlink", "nvrtc", "nvtx"], markers = "platform_system == \"Linux\""} filelock = "*" fsspec = ">=0.8.5" jinja2 = "*" networkx = ">=2.5.1" -nvidia-cublas-cu12 = {version = "12.8.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-cupti-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-nvrtc-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cuda-runtime-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cudnn-cu12 = {version = "9.10.2.21", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cufft-cu12 = {version = "11.3.3.83", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cufile-cu12 = {version = "1.13.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-curand-cu12 = {version = "10.3.9.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusolver-cu12 = {version = "11.7.3.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusparse-cu12 = {version = "12.5.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-cusparselt-cu12 = {version = "0.7.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nccl-cu12 = {version = "2.27.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvjitlink-cu12 = {version = "12.8.93", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvshmem-cu12 = {version = "3.4.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nvtx-cu12 = {version = "12.8.90", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -setuptools = {version = "*", markers = "python_version >= \"3.12\""} +nvidia-cudnn-cu13 = {version = "9.19.0.56", markers = "platform_system == \"Linux\""} +nvidia-cusparselt-cu13 = {version = "0.8.0", markers = "platform_system == \"Linux\""} +nvidia-nccl-cu13 = {version = "2.28.9", markers = "platform_system == \"Linux\""} +nvidia-nvshmem-cu13 = {version = "3.4.5", markers = "platform_system == \"Linux\""} +setuptools = "<82" sympy = ">=1.13.3" -triton = {version = "3.6.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +triton = {version = "3.6.0", markers = "platform_system == \"Linux\""} typing-extensions = ">=4.10.0" [package.extras] @@ -3812,7 +3837,7 @@ description = "A language and compiler for custom Deep Learning operations" optional = false python-versions = "<3.15,>=3.10" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\"" +markers = "platform_system == \"Linux\"" files = [ {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c723cfb12f6842a0ae94ac307dba7e7a44741d720a40cf0e270ed4a4e3be781"}, {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea"}, diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index b70a99b6e326..25ffe36db01c 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "5ecb150727c033dc7302e3c35765657aa497cba2", - "timestamp": "2026-03-23T04:01:29Z" + "commit_hash": "15462b1f5fa5416b402ed676ca02dce10dc3d63d", + "timestamp": "2026-03-24T04:01:21Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 133f903fb197..67635120a500 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -1041,13 +1041,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.3" +version = "1.4.4" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c"}, + {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, ] [[package]] @@ -1070,49 +1070,45 @@ all = ["cuda-bindings[all] (>=13.2.0,<13.3.0)"] [[package]] name = "cuda-toolkit" -version = "13.2.0" +version = "13.0.2" description = "CUDA Toolkit meta-package" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "cuda_toolkit-13.2.0-py2.py3-none-any.whl", hash = "sha256:d749077fdf11010881c208978b5fdd3e302290cc2f141ae92ed6e989ea9a65c7"}, + {file = "cuda_toolkit-13.0.2-py2.py3-none-any.whl", hash = "sha256:b198824cf2f54003f50d64ada3a0f184b42ca0846c1c94192fa269ecd97a66eb"}, ] [package.dependencies] -nvidia-cuda-runtime = {version = "==13.2.51.*", optional = true, markers = "(sys_platform == \"win32\" or sys_platform == \"linux\") and extra == \"cudart\""} +nvidia-cuda-runtime = {version = "==13.0.96.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cudart\""} [package.extras] -all = ["nvidia-cublas (==13.3.0.5.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cccl (==13.2.27.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-crt (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-culibos (==13.2.51.*) ; sys_platform == \"linux\"", "nvidia-cuda-cuobjdump (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cupti (==13.2.23.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cuxxfilt (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-nvcc (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-nvdisasm (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-nvrtc (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-opencl (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-profiler-api (==13.2.20.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-runtime (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-sanitizer-api (==13.2.23.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-tileiras (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cudla (==13.2.51.*) ; sys_platform == \"linux\"", "nvidia-cufft (==12.2.0.37.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cufile (==1.17.0.44.*) ; sys_platform == \"linux\"", "nvidia-curand (==10.4.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cusolver (==12.1.0.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cusparse (==12.7.9.17.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-npp (==13.1.0.44.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvfatbin (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvjitlink (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvjpeg (==13.0.4.44.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvml-dev (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvptxcompiler (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvtx (==13.2.20.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvvm (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cccl = ["nvidia-cuda-cccl (==13.2.27.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -crt = ["nvidia-cuda-crt (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cublas = ["nvidia-cublas (==13.3.0.5.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cudart = ["nvidia-cuda-runtime (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cudla = ["nvidia-cudla (==13.2.51.*) ; sys_platform == \"linux\""] -cufft = ["nvidia-cufft (==12.2.0.37.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cufile = ["nvidia-cufile (==1.17.0.44.*) ; sys_platform == \"linux\""] -culibos = ["nvidia-cuda-culibos (==13.2.51.*) ; sys_platform == \"linux\""] -cuobjdump = ["nvidia-cuda-cuobjdump (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cupti = ["nvidia-cuda-cupti (==13.2.23.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -curand = ["nvidia-curand (==10.4.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cusolver = ["nvidia-cusolver (==12.1.0.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cusparse = ["nvidia-cusparse (==12.7.9.17.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -cuxxfilt = ["nvidia-cuda-cuxxfilt (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -npp = ["nvidia-npp (==13.1.0.44.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvcc = ["nvidia-cuda-nvcc (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvdisasm = ["nvidia-cuda-nvdisasm (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvfatbin = ["nvidia-nvfatbin (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvjitlink = ["nvidia-nvjitlink (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvjpeg = ["nvidia-nvjpeg (==13.0.4.44.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvml = ["nvidia-nvml-dev (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvptxcompiler = ["nvidia-nvptxcompiler (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvrtc = ["nvidia-cuda-nvrtc (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvtx = ["nvidia-nvtx (==13.2.20.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -nvvm = ["nvidia-nvvm (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -opencl = ["nvidia-cuda-opencl (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -profiler = ["nvidia-cuda-profiler-api (==13.2.20.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -sanitizer = ["nvidia-cuda-sanitizer-api (==13.2.23.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] -tileiras = ["nvidia-cuda-tileiras (==13.2.51.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""] +all = ["nvidia-cublas (==13.1.0.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-cccl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-crt (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-culibos (==13.0.85.*) ; sys_platform == \"linux\"", "nvidia-cuda-cupti (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-cuxxfilt (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-nvcc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-nvrtc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-opencl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-profiler-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-runtime (==13.0.96.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-sanitizer-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cufft (==12.0.0.61.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cufile (==1.15.1.6.*) ; sys_platform == \"linux\"", "nvidia-curand (==10.4.0.35.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cusolver (==12.0.4.66.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cusparse (==12.6.3.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-npp (==13.0.1.2.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvfatbin (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvjitlink (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvjpeg (==13.0.1.86.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvml-dev (==13.0.87.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvptxcompiler (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvtx (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvvm (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cccl = ["nvidia-cuda-cccl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +crt = ["nvidia-cuda-crt (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cublas = ["nvidia-cublas (==13.1.0.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cudart = ["nvidia-cuda-runtime (==13.0.96.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cufft = ["nvidia-cufft (==12.0.0.61.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cufile = ["nvidia-cufile (==1.15.1.6.*) ; sys_platform == \"linux\""] +culibos = ["nvidia-cuda-culibos (==13.0.85.*) ; sys_platform == \"linux\""] +cupti = ["nvidia-cuda-cupti (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +curand = ["nvidia-curand (==10.4.0.35.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cusolver = ["nvidia-cusolver (==12.0.4.66.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cusparse = ["nvidia-cusparse (==12.6.3.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +cuxxfilt = ["nvidia-cuda-cuxxfilt (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +npp = ["nvidia-npp (==13.0.1.2.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvcc = ["nvidia-cuda-nvcc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvfatbin = ["nvidia-nvfatbin (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvjitlink = ["nvidia-nvjitlink (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvjpeg = ["nvidia-nvjpeg (==13.0.1.86.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvml = ["nvidia-nvml-dev (==13.0.87.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvptxcompiler = ["nvidia-nvptxcompiler (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvrtc = ["nvidia-cuda-nvrtc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvtx = ["nvidia-nvtx (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +nvvm = ["nvidia-nvvm (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +opencl = ["nvidia-cuda-opencl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +profiler = ["nvidia-cuda-profiler-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] +sanitizer = ["nvidia-cuda-sanitizer-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""] [[package]] name = "cycler" @@ -3347,16 +3343,16 @@ files = [ [[package]] name = "nvidia-cuda-runtime" -version = "13.2.51" +version = "13.0.96" description = "CUDA Runtime native Libraries" optional = false python-versions = ">=3" groups = ["main"] markers = "sys_platform == \"win32\" or sys_platform == \"linux\"" files = [ - {file = "nvidia_cuda_runtime-13.2.51-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:dfcccf62936b211a86e3cbc5fcc30647af8e601744e987f6a5925ed045b58672"}, - {file = "nvidia_cuda_runtime-13.2.51-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9c43b06a52c5b9316e19abc047236932c4d5c729969918a83223c4d2a4132f9a"}, - {file = "nvidia_cuda_runtime-13.2.51-py3-none-win_amd64.whl", hash = "sha256:2f12e8db61a90a15af531414f387635e1598e44a2702bc34c75eb926fc96fd5e"}, + {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ef9bcbe90493a2b9d810e43d249adb3d02e98dd30200d86607d8d02687c43f55"}, + {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f82250d7782aa23b6cfe765ecc7db554bd3c2870c43f3d1821f1d18aebf0548"}, + {file = "nvidia_cuda_runtime-13.0.96-py3-none-win_amd64.whl", hash = "sha256:f79298c8a098cec150a597c8eba58ecdab96e3bdc4b9bc4f9983635031740492"}, ] [[package]] diff --git a/security_scanning/triton_backend/poetry.lock b/security_scanning/triton_backend/poetry.lock index 7e7fa31efb1c..219bd8193709 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -604,13 +604,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.3" +version = "1.4.4" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c"}, + {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, ] [[package]] From be4ca51c57adf034d7246c77edad67b2da38e180 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Wed, 25 Mar 2026 04:20:46 +0000 Subject: [PATCH 219/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/examples/apps/poetry.lock | 10 +-- .../examples/auto_deploy/poetry.lock | 20 +++--- .../examples/draft_target_model/poetry.lock | 16 ++--- security_scanning/examples/eagle/poetry.lock | 16 ++--- .../llm-eval/lm-eval-harness/poetry.lock | 20 +++--- .../examples/lookahead/poetry.lock | 16 ++--- security_scanning/examples/medusa/poetry.lock | 16 ++--- .../models/contrib/baichuan/poetry.lock | 16 ++--- .../examples/models/contrib/bloom/poetry.lock | 16 ++--- .../models/contrib/chatglm-6b/poetry.lock | 16 ++--- .../models/contrib/chatglm2-6b/poetry.lock | 16 ++--- .../contrib/chatglm3-6b-32k/poetry.lock | 16 ++--- .../examples/models/contrib/dbrx/poetry.lock | 16 ++--- .../models/contrib/deepseek_v1/poetry.lock | 16 ++--- .../models/contrib/deepseek_v2/poetry.lock | 16 ++--- .../models/contrib/falcon/poetry.lock | 16 ++--- .../examples/models/contrib/gptj/poetry.lock | 16 ++--- .../models/contrib/gptneox/poetry.lock | 16 ++--- .../examples/models/contrib/grok/poetry.lock | 16 ++--- .../models/contrib/hyperclovax/poetry.lock | 14 ++-- .../models/contrib/internlm/poetry.lock | 16 ++--- .../examples/models/contrib/jais/poetry.lock | 16 ++--- .../examples/models/contrib/mmdit/poetry.lock | 10 +-- .../examples/models/contrib/mpt/poetry.lock | 16 ++--- .../examples/models/contrib/opt/poetry.lock | 16 ++--- .../models/contrib/skywork/poetry.lock | 16 ++--- .../examples/models/contrib/smaug/poetry.lock | 16 ++--- .../examples/models/contrib/stdit/poetry.lock | 14 ++-- .../examples/models/core/commandr/poetry.lock | 16 ++--- .../examples/models/core/gemma/poetry.lock | 27 ++++---- .../examples/models/core/gemma/pyproject.toml | 2 +- .../examples/models/core/glm-4-9b/poetry.lock | 16 ++--- .../examples/models/core/gpt/poetry.lock | 16 ++--- .../examples/models/core/llama/poetry.lock | 16 ++--- .../examples/models/core/mamba/poetry.lock | 16 ++--- .../examples/models/core/mixtral/poetry.lock | 4 +- .../examples/models/core/mllama/poetry.lock | 4 +- .../examples/models/core/nemotron/poetry.lock | 16 ++--- .../examples/models/core/phi/poetry.lock | 16 ++--- .../examples/models/core/qwen/poetry.lock | 16 ++--- .../models/core/qwen2audio/poetry.lock | 16 ++--- .../examples/models/core/qwenvl/poetry.lock | 20 +++--- .../models/core/recurrentgemma/poetry.lock | 16 ++--- .../examples/models/core/whisper/poetry.lock | 14 ++-- security_scanning/examples/ngram/poetry.lock | 16 ++--- .../examples/quantization/poetry.lock | 16 ++--- .../examples/redrafter/poetry.lock | 16 ++--- security_scanning/examples/serve/poetry.lock | 16 ++--- .../examples/trtllm-eval/poetry.lock | 20 +++--- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 66 +++++++++---------- security_scanning/pyproject.toml | 2 +- security_scanning/triton_backend/poetry.lock | 4 +- 53 files changed, 416 insertions(+), 415 deletions(-) diff --git a/security_scanning/examples/apps/poetry.lock b/security_scanning/examples/apps/poetry.lock index edd75b41f4f3..56ce7593dec8 100644 --- a/security_scanning/examples/apps/poetry.lock +++ b/security_scanning/examples/apps/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -30,7 +30,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "certifi" diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index 3b6e894bfb38..f7a65b4c2d0d 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -281,14 +281,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -297,7 +297,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "asttokens" @@ -579,14 +579,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] @@ -1953,14 +1953,14 @@ test-extras = ["pytest-mpl", "pytest-randomly"] [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/draft_target_model/poetry.lock b/security_scanning/examples/draft_target_model/poetry.lock index 93d332aff548..68001ce4658f 100644 --- a/security_scanning/examples/draft_target_model/poetry.lock +++ b/security_scanning/examples/draft_target_model/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/eagle/poetry.lock b/security_scanning/examples/eagle/poetry.lock index 51d48b638d34..35ecc4b6619e 100644 --- a/security_scanning/examples/eagle/poetry.lock +++ b/security_scanning/examples/eagle/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 2174c318bdeb..64057de6cd3b 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -246,7 +246,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -500,14 +500,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] @@ -1722,14 +1722,14 @@ test-extras = ["pytest-mpl", "pytest-randomly"] [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/lookahead/poetry.lock b/security_scanning/examples/lookahead/poetry.lock index 93d332aff548..68001ce4658f 100644 --- a/security_scanning/examples/lookahead/poetry.lock +++ b/security_scanning/examples/lookahead/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 93d332aff548..68001ce4658f 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index e30a33d75730..92137b0a96a5 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = 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a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index 953d7bd1b21b..0139acacec27 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = 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["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 3b89424d0582..3c0971c6d634 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index e4ae8648b82a..fee1748da2fd 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index d63b6457fecd..d81c38ac7a5f 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index 8d89c8c19a10..d4ba99ee5be9 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index f53fb39ace74..6d8fb10354a9 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index d63b6457fecd..d81c38ac7a5f 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 51d48b638d34..35ecc4b6619e 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 626ca2a629ca..18371a7bf930 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1546,14 +1546,14 @@ files = [ [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock index d64a60f6af83..021f79168c04 100644 --- a/security_scanning/examples/models/contrib/hyperclovax/poetry.lock +++ b/security_scanning/examples/models/contrib/hyperclovax/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -30,7 +30,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "av" @@ -143,14 +143,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 93d332aff548..68001ce4658f 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index 953d7bd1b21b..0139acacec27 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 4dcdba6806e7..e87f3686bcac 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = 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framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index d63b6457fecd..d81c38ac7a5f 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index 953d7bd1b21b..0139acacec27 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index 953d7bd1b21b..0139acacec27 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index a6557181fe31..a1309d484b5b 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -14,14 +14,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = 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"sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index d63b6457fecd..d81c38ac7a5f 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = 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"nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index fd93e5c76093..a279232404c1 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -209,14 +209,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = 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b/security_scanning/examples/models/core/gemma/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "sentencepiece (>=0.1.99)", "h5py (>=3.12.1,<3.13.0)", "rouge-score (>=0.1.2,<0.2.0)", - "nltk (>=3.9.3,<4.0.0)", + "nltk (>=3.9.4,<4.0.0)", "datasets (==3.1.0)" ] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 3b89424d0582..3c0971c6d634 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = 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groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index bae15b586744..97ce7fb09ea2 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 0386a3dd2172..a0de338bfdc6 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index ac1adbc24384..4658dd9c6318 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -232,14 +232,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index 1bba17e8ec0a..a2234d1e20da 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -225,14 +225,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index d63b6457fecd..d81c38ac7a5f 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1110,14 +1110,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index b49efaa91497..f353059769cf 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1122,14 +1122,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 23a6159fcd6a..e732f83d629f 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -239,14 +239,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -255,7 +255,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1522,14 +1522,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 461ca623718f..ca1124764abe 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1122,14 +1122,14 @@ dill = ">=0.3.8" [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index efc86cbbec0c..9b0ec9db0f91 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -627,14 +627,14 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] markers = "platform_system == \"Linux\"" files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] @@ -1868,14 +1868,14 @@ test-extras = ["pytest-mpl", "pytest-randomly"] [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/recurrentgemma/poetry.lock b/security_scanning/examples/models/core/recurrentgemma/poetry.lock index 40c25a2bd503..71ea0568e664 100644 --- a/security_scanning/examples/models/core/recurrentgemma/poetry.lock +++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -213,7 +213,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -1505,14 +1505,14 @@ files = [ [[package]] name = "nltk" -version = "3.9.3" +version = "3.9.4" description = "Natural Language Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/models/core/whisper/poetry.lock b/security_scanning/examples/models/core/whisper/poetry.lock index e4ad0b113e04..eae852a61d94 100644 --- a/security_scanning/examples/models/core/whisper/poetry.lock +++ b/security_scanning/examples/models/core/whisper/poetry.lock @@ -185,14 +185,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = 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files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] diff --git a/security_scanning/examples/ngram/poetry.lock b/security_scanning/examples/ngram/poetry.lock index ca2cf53614f5..06973f7cdb22 100644 --- a/security_scanning/examples/ngram/poetry.lock +++ b/security_scanning/examples/ngram/poetry.lock @@ -197,14 +197,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = 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Toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 7ef6872d716e..4d45f487d678 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -259,14 +259,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -275,7 +275,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""] +trio = ["trio (>=0.32.0)"] [[package]] name = "async-timeout" @@ -2112,14 +2112,14 @@ typing-extensions = {version = ">=4.1.0", markers = 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b/security_scanning/examples/trtllm-eval/poetry.lock @@ -230,14 +230,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -246,7 +246,7 @@ idna = ">=2.8" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -trio = ["trio 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groups = ["main"] files = [ - {file = "nltk-3.9.3-py3-none-any.whl", hash = "sha256:60b3db6e9995b3dd976b1f0fa7dec22069b2677e759c28eb69b62ddd44870522"}, - {file = "nltk-3.9.3.tar.gz", hash = "sha256:cb5945d6424a98d694c2b9a0264519fab4363711065a46aa0ae7a2195b92e71f"}, + {file = "nltk-3.9.4-py3-none-any.whl", hash = "sha256:f2fa301c3a12718ce4a0e9305c5675299da5ad9e26068218b69d692fda84828f"}, + {file = "nltk-3.9.4.tar.gz", hash = "sha256:ed03bc098a40481310320808b2db712d95d13ca65b27372f8a403949c8b523d0"}, ] [package.dependencies] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index 25ffe36db01c..ccd3dec7ee9c 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "15462b1f5fa5416b402ed676ca02dce10dc3d63d", - "timestamp": "2026-03-24T04:01:21Z" + "commit_hash": "45c819e231b5cb389de813a9b8b16e7fa155ecaf", + "timestamp": "2026-03-25T04:01:07Z" } diff --git a/security_scanning/poetry.lock b/security_scanning/poetry.lock index 67635120a500..0ad7dd642102 100644 --- a/security_scanning/poetry.lock +++ b/security_scanning/poetry.lock @@ -254,14 +254,14 @@ files = [ [[package]] name = "anyio" -version = "4.12.1" +version = "4.13.0" description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"}, - {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"}, + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, ] [package.dependencies] @@ -270,7 +270,7 @@ idna = ">=2.8" typing_extensions = 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219bd8193709..744f90b1a743 100644 --- a/security_scanning/triton_backend/poetry.lock +++ b/security_scanning/triton_backend/poetry.lock @@ -604,13 +604,13 @@ all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolki [[package]] name = "cuda-pathfinder" -version = "1.4.4" +version = "1.5.0" description = "Pathfinder for CUDA components" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "cuda_pathfinder-1.4.4-py3-none-any.whl", hash = "sha256:1a9e7feccae0d969ad88545d0462f2ed2750df8e6732309798dc1e1ca603a28b"}, + {file = "cuda_pathfinder-1.5.0-py3-none-any.whl", hash = "sha256:498f90a9e9de36044a7924742aecce11c50c49f735f1bc53e05aa46de9ea4110"}, ] [[package]] From b30e906242d1a1fd73d49afb9efc36c3e8bcb11e Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Thu, 26 Mar 2026 04:20:54 +0000 Subject: [PATCH 220/241] [None][infra] Check in most recent lock file from nightly pipeline 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.../examples/models/contrib/gptj/poetry.lock | 21 ++- .../models/contrib/gptneox/poetry.lock | 21 ++- .../examples/models/contrib/grok/poetry.lock | 21 ++- .../models/contrib/hyperclovax/poetry.lock | 6 +- .../models/contrib/internlm/poetry.lock | 21 ++- .../examples/models/contrib/jais/poetry.lock | 21 ++- .../examples/models/contrib/mmdit/poetry.lock | 35 ++-- .../examples/models/contrib/mpt/poetry.lock | 21 ++- .../examples/models/contrib/opt/poetry.lock | 21 ++- .../models/contrib/skywork/poetry.lock | 21 ++- .../examples/models/contrib/smaug/poetry.lock | 21 ++- .../examples/models/contrib/stdit/poetry.lock | 161 ++++++++-------- .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 21 ++- .../examples/models/core/gemma/poetry.lock | 21 ++- .../examples/models/core/glm-4-9b/poetry.lock | 21 ++- .../examples/models/core/gpt/poetry.lock | 21 ++- .../examples/models/core/llama/poetry.lock | 21 ++- .../examples/models/core/mamba/poetry.lock | 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b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 3c0971c6d634..c86de8b222e7 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = 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100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -981,14 +981,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = "huggingface_hub-1.8.0.tar.gz", hash = "sha256:c5627b2fd521e00caf8eff4ac965ba988ea75167fad7ee72e17f9b7183ec63f3"}, ] [package.dependencies] @@ -2601,25 +2601,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, - {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, + {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, + {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, ] [package.dependencies] -certifi = ">=2017.4.17" +certifi = ">=2023.5.7" charset_normalizer = ">=2,<4" idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<3" +urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -use-chardet-on-py3 = ["chardet 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100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = "huggingface_hub-1.8.0.tar.gz", hash = "sha256:c5627b2fd521e00caf8eff4ac965ba988ea75167fad7ee72e17f9b7183ec63f3"}, ] [package.dependencies] @@ -1926,25 +1926,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, - {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, + {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, + {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, ] [package.dependencies] -certifi = ">=2017.4.17" +certifi = ">=2023.5.7" charset_normalizer = ">=2,<4" idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<3" +urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -use-chardet-on-py3 = ["chardet 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["chardet (>=3.0.2,<8)"] [[package]] name = "rich" diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index d81c38ac7a5f..e7c010ce7579 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = 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["aiohttp (>=3.13.3)", "aiohttp_cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.42.0)", "hf_transfer", "jsonref (>=1.1.0)", "jsonschema", "meson", "ninja", "nixl (>=0.6.1)", "numpy (>=1.20)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk (>=1.30.0)", "pandas (>=1.3)", "prometheus_client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (>=9.0.0)", "pybind11", "pydantic (<2.0.dev0 || >=2.12.dev0,<3)", "requests", "smart_open", "starlette", "transformers (>=4.57.3)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm[audio] (>=0.15.0)", "watchfiles"] @@ -2048,25 +2048,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = 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--- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -828,14 +828,14 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = "huggingface_hub-1.8.0.tar.gz", hash = "sha256:c5627b2fd521e00caf8eff4ac965ba988ea75167fad7ee72e17f9b7183ec63f3"}, ] [package.dependencies] @@ 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= ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "1.7.2" +version = "1.8.0" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" optional = false python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = "huggingface_hub-1.8.0.tar.gz", hash = "sha256:c5627b2fd521e00caf8eff4ac965ba988ea75167fad7ee72e17f9b7183ec63f3"}, ] [package.dependencies] @@ -1944,25 +1944,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false 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[package.dependencies] @@ -2667,25 +2667,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, - {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, + {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, + {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, ] [package.dependencies] -certifi = ">=2017.4.17" +certifi = ">=2023.5.7" charset_normalizer = ">=2,<4" idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<3" +urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] 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python-versions = ">=3.9.0" groups = ["main"] files = [ - {file = "huggingface_hub-1.7.2-py3-none-any.whl", hash = "sha256:288f33a0a17b2a73a1359e2a5fd28d1becb2c121748c6173ab8643fb342c850e"}, - {file = "huggingface_hub-1.7.2.tar.gz", hash = "sha256:7f7e294e9bbb822e025bdb2ada025fa4344d978175a7f78e824d86e35f7ab43b"}, + {file = "huggingface_hub-1.8.0-py3-none-any.whl", hash = "sha256:d3eb5047bd4e33c987429de6020d4810d38a5bef95b3b40df9b17346b7f353f2"}, + {file = "huggingface_hub-1.8.0.tar.gz", hash = "sha256:c5627b2fd521e00caf8eff4ac965ba988ea75167fad7ee72e17f9b7183ec63f3"}, ] [package.dependencies] @@ -3029,25 +3029,26 @@ files = [ [[package]] name = "requests" -version = "2.32.5" +version = "2.33.0" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, - {file = 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++++---- .../examples/models/core/llama/poetry.lock | 26 ++++---- .../examples/models/core/mamba/poetry.lock | 26 ++++---- .../examples/models/core/qwen/poetry.lock | 64 +++++++++---------- .../models/core/qwen2audio/poetry.lock | 26 ++++---- .../examples/models/core/qwenvl/poetry.lock | 26 ++++---- .../models/core/recurrentgemma/poetry.lock | 26 ++++---- .../examples/models/core/whisper/poetry.lock | 28 ++++---- .../models/core/whisper/pyproject.toml | 2 +- .../examples/quantization/poetry.lock | 26 ++++---- .../examples/ray_orchestrator/poetry.lock | 26 ++++---- security_scanning/examples/serve/poetry.lock | 26 ++++---- .../examples/trtllm-eval/poetry.lock | 26 ++++---- security_scanning/metadata.json | 4 +- 19 files changed, 244 insertions(+), 244 deletions(-) diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index a07ac35cbce0..a8b64a12b0ca 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ 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name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86"}, + {file = "transformers-5.4.0.tar.gz", hash = "sha256:cb34ca89dce345ae3224b290346b9c0fa9694b951d54f3ed16334a4b1bfe3d04"}, ] [package.dependencies] -huggingface-hub = ">=1.3.0,<2.0" +huggingface-hub = ">=1.5.0,<2.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" -regex = "!=2019.12.17" +regex = ">=2025.10.22" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" @@ -2233,29 +2233,29 @@ typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] -all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "librosa", "mistral-common[image] (>=1.8.8)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.4)", "torchaudio", "torchvision"] +all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.12.0,<0.13)", "librosa", "mistral-common[image] (>=1.10.0)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.4)", "torchaudio", "torchvision"] audio = ["librosa", "phonemizer", "pyctcdecode (>=0.4.0)", 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--git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 13916b977ec5..edf2563c0ef9 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -2115,22 +2115,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = 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b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2468,22 +2468,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86"}, + {file = "transformers-5.4.0.tar.gz", hash = "sha256:cb34ca89dce345ae3224b290346b9c0fa9694b951d54f3ed16334a4b1bfe3d04"}, ] [package.dependencies] -huggingface-hub = ">=1.3.0,<2.0" +huggingface-hub = ">=1.5.0,<2.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" -regex = "!=2019.12.17" +regex = ">=2025.10.22" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" @@ -2491,29 +2491,29 @@ typer = "*" [package.extras] accelerate = ["accelerate (>=1.1.0)"] -all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.10.2,<0.11)", "librosa", "mistral-common[image] (>=1.8.8)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", "timm (>=1.0.23)", "torch (>=2.4)", "torchaudio", "torchvision"] +all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=1.1.0)", "av", "blobfile", "jinja2 (>=3.1.0)", "jmespath (>=1.0.1)", "kernels (>=0.12.0,<0.13)", "librosa", "mistral-common[image] (>=1.10.0)", "num2words", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "tiktoken", 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learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86"}, + {file = "transformers-5.4.0.tar.gz", hash = "sha256:cb34ca89dce345ae3224b290346b9c0fa9694b951d54f3ed16334a4b1bfe3d04"}, ] [package.dependencies] -huggingface-hub = ">=1.3.0,<2.0" +huggingface-hub = ">=1.5.0,<2.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" -regex = "!=2019.12.17" +regex = ">=2025.10.22" safetensors = ">=0.4.3" tokenizers = ">=0.22.0,<=0.23.0" tqdm = ">=4.27" @@ -2138,29 +2138,29 @@ typer = "*" [package.extras] 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a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index 0dd8af47cf96..f2c434545db3 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -2285,22 +2285,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = 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+++ b/security_scanning/examples/models/core/recurrentgemma/poetry.lock @@ -2856,22 +2856,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86"}, + {file = "transformers-5.4.0.tar.gz", hash = "sha256:cb34ca89dce345ae3224b290346b9c0fa9694b951d54f3ed16334a4b1bfe3d04"}, ] [package.dependencies] 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a/security_scanning/examples/models/core/whisper/pyproject.toml +++ b/security_scanning/examples/models/core/whisper/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "librosa (>=0.11.0,<0.12.0)", "soundfile (>=0.13.1,<0.14.0)", "safetensors (>=0.7.0,<0.8.0)", - "transformers (>=5.3.0,<6.0.0)", + "transformers (>=5.4.0,<6.0.0)", "janus (>=2.0.0,<3.0.0)" ] diff --git a/security_scanning/examples/quantization/poetry.lock b/security_scanning/examples/quantization/poetry.lock index 35d76a8d4751..a19b5f6993d7 100644 --- a/security_scanning/examples/quantization/poetry.lock +++ b/security_scanning/examples/quantization/poetry.lock @@ -2176,22 +2176,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = 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b/security_scanning/examples/ray_orchestrator/poetry.lock @@ -805,18 +805,18 @@ urllib3 = ["packaging", "urllib3"] [[package]] name = "googleapis-common-protos" -version = "1.73.0" +version = "1.73.1" description = "Common protobufs used in Google APIs" optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "googleapis_common_protos-1.73.0-py3-none-any.whl", hash = "sha256:dfdaaa2e860f242046be561e6d6cb5c5f1541ae02cfbcb034371aadb2942b4e8"}, - {file = "googleapis_common_protos-1.73.0.tar.gz", hash = "sha256:778d07cd4fbeff84c6f7c72102f0daf98fa2bfd3fa8bea426edc545588da0b5a"}, + {file = "googleapis_common_protos-1.73.1-py3-none-any.whl", hash = "sha256:e51f09eb0a43a8602f5a915870972e6b4a394088415c79d79605a46d8e826ee8"}, + {file = "googleapis_common_protos-1.73.1.tar.gz", hash = "sha256:13114f0e9d2391756a0194c3a8131974ed7bffb06086569ba193364af59163b6"}, ] [package.dependencies] -protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || 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">=4.25.8,<8.0.0" [package.extras] testing = ["google-api-core (>=1.31.5)"] @@ -1745,14 +1745,14 @@ typing-extensions = ">=4.14.1" [[package]] name = "python-discovery" -version = "1.2.0" +version = "1.2.1" description = "Python interpreter discovery" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "python_discovery-1.2.0-py3-none-any.whl", hash = "sha256:1e108f1bbe2ed0ef089823d28805d5ad32be8e734b86a5f212bf89b71c266e4a"}, - {file = "python_discovery-1.2.0.tar.gz", hash = "sha256:7d33e350704818b09e3da2bd419d37e21e7c30db6e0977bb438916e06b41b5b1"}, + {file = "python_discovery-1.2.1-py3-none-any.whl", hash = "sha256:b6a957b24c1cd79252484d3566d1b49527581d46e789aaf43181005e56201502"}, + {file = "python_discovery-1.2.1.tar.gz", hash = "sha256:180c4d114bff1c32462537eac5d6a332b768242b76b69c0259c7d14b1b680c9e"}, ] [package.dependencies] diff --git a/security_scanning/examples/serve/poetry.lock b/security_scanning/examples/serve/poetry.lock index 3d70b97af1ca..d3452dc7d489 100644 --- a/security_scanning/examples/serve/poetry.lock +++ b/security_scanning/examples/serve/poetry.lock @@ -4188,22 +4188,22 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a"}, - {file = "transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557"}, + {file = "transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86"}, + {file = "transformers-5.4.0.tar.gz", hash = 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"starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] diff --git a/security_scanning/examples/trtllm-eval/poetry.lock b/security_scanning/examples/trtllm-eval/poetry.lock index aaae2b976750..934eb9852f4c 100644 --- a/security_scanning/examples/trtllm-eval/poetry.lock +++ b/security_scanning/examples/trtllm-eval/poetry.lock @@ -3779,22 +3779,22 @@ dev = ["twine"] [[package]] name = "transformers" -version = "5.3.0" +version = "5.4.0" description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training." optional = false python-versions = ">=3.10.0" groups = ["main"] files = [ - {file = "transformers-5.3.0-py3-none-any.whl", hash = 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(>=0.12.0,<0.13)"] +mistral-common = ["mistral-common[image] (>=1.10.0)"] num2words = ["num2words"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "tomli", "ty (==0.0.20)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"] sklearn = ["scikit-learn"] -testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"] +testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.10.0)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] diff --git a/security_scanning/metadata.json b/security_scanning/metadata.json index cc1b0283d0df..4900872241f1 100644 --- a/security_scanning/metadata.json +++ b/security_scanning/metadata.json @@ -1,4 +1,4 @@ { - "commit_hash": "be4ca51c57adf034d7246c77edad67b2da38e180", - "timestamp": "2026-03-26T04:01:08Z" + "commit_hash": "b30e906242d1a1fd73d49afb9efc36c3e8bcb11e", + "timestamp": "2026-03-27T04:01:28Z" } From 9e0572caa8da99988e25c26bd0352aefea93769f Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Sat, 28 Mar 2026 04:21:06 +0000 Subject: [PATCH 222/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 8 ++-- security_scanning/docs/pyproject.toml | 2 +- .../examples/auto_deploy/poetry.lock | 6 +-- .../models/contrib/hyperclovax/poetry.lock | 6 +-- .../examples/models/contrib/mmdit/poetry.lock | 6 +-- .../examples/models/contrib/stdit/poetry.lock | 6 +-- .../examples/models/core/mixtral/poetry.lock | 6 +-- .../examples/models/core/mllama/poetry.lock | 6 +-- security_scanning/examples/serve/poetry.lock | 6 +-- security_scanning/metadata.json | 4 +- security_scanning/triton_backend/poetry.lock | 47 +++++++++---------- .../triton_backend/pyproject.toml | 2 +- 12 files changed, 52 insertions(+), 53 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 47a0acb91eb3..793aa5166387 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -893,14 +893,14 @@ rtd = ["ipython", "myst-nb", "sphinx", "sphinx-book-theme", "sphinx-examples"] [[package]] name = "sphinx-togglebutton" -version = "0.4.4" +version = "0.4.5" description = "Toggle page content and collapse admonitions in Sphinx." optional = false python-versions = "*" groups = ["main"] files = [ - {file = "sphinx_togglebutton-0.4.4-py3-none-any.whl", hash = "sha256:820658cd4c4c34c2ee7a21105e638b2f65a9e1d43ee991090715eb7fd9683cdf"}, - {file = "sphinx_togglebutton-0.4.4.tar.gz", hash = "sha256:04c332692fd5f5363ad02a001e693369767d6c1f0e58279770a2aeb571b472a1"}, + {file = "sphinx_togglebutton-0.4.5-py3-none-any.whl", hash = "sha256:74eac6d2426110c3e1e6f989a98e07d7823141a335df1ad8a9d637bdf6a7af62"}, + {file = "sphinx_togglebutton-0.4.5.tar.gz", hash = "sha256:c870dfbd3bc6e119b50ff9a37a64f8991902269e856728931c7d89877e8d4b3d"}, ] [package.dependencies] @@ -1136,4 +1136,4 @@ test = ["pytest (>=6.0.0)", "setuptools (>=77)"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "256b216c553d4b3ff1043839642f5d3dc9209194e901d7b189a92858a9e40b7a" +content-hash = "fef81843f0886daa4a857820e7c67a3767075a8811beec2851a071f39a0a4aa6" diff --git a/security_scanning/docs/pyproject.toml b/security_scanning/docs/pyproject.toml index f72c0f7006ae..ba8e27bf9579 100644 --- a/security_scanning/docs/pyproject.toml +++ b/security_scanning/docs/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "breathe (>=4.36.0,<5.0.0)", "sphinx-copybutton (>=0.5.2,<0.6.0)", "autodoc-pydantic (>=2.2.0,<3.0.0)", - "sphinx-togglebutton (>=0.4.4,<0.5.0)" + "sphinx-togglebutton (>=0.4.5,<0.5.0)" ] diff --git a/security_scanning/examples/auto_deploy/poetry.lock b/security_scanning/examples/auto_deploy/poetry.lock index a8b64a12b0ca..7cdbce6aac32 100644 --- a/security_scanning/examples/auto_deploy/poetry.lock +++ b/security_scanning/examples/auto_deploy/poetry.lock @@ -1188,14 +1188,14 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "ipython" -version = "8.38.0" +version = "8.39.0" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"}, - {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"}, + {file = "ipython-8.39.0-py3-none-any.whl", hash = "sha256:bb3c51c4fa8148ab1dea07a79584d1c854e234ea44aa1283bcb37bc75054651f"}, + {file = "ipython-8.39.0.tar.gz", hash = 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"sha256:a6768d25248312c297558af96a9f9c929e8c4cee0659cb07e780731095f38135"}, ] [[package]] @@ -2193,15 +2192,15 @@ vision = ["Pillow (>=10.0.1,<=15.0)"] [[package]] name = "tritonclient" -version = "2.66.0" +version = "2.67.0" description = "Python client library and utilities for communicating with Triton Inference Server" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "tritonclient-2.66.0-py3-none-any.whl", hash = "sha256:7e3558a47542528a4edd2da607050e756022c6b14ea2b352a67c78f1484e698f"}, - {file = "tritonclient-2.66.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:d2c2865239017a0d15a5f34e23f093feac222e608d6182a1444354204a0833ad"}, - {file = "tritonclient-2.66.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:ec759cd8186130be9726be2fa31bc14b1dd46daa19add770610df889aa57d0a4"}, + {file = "tritonclient-2.67.0-py3-none-any.whl", hash = "sha256:5e2d4f2f14dd79faa9110dff9b89a869d52b3e15a146c645850ec276e2d04568"}, + {file = 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"perf-analyzer", "protobuf (>=5.26.1,<6.0.dev0)", "python-rapidjson (>=0.9.1)"] +all = ["aiohttp (>=3.8.1,<4.0.0)", "cuda-python", "geventhttpclient (>=2.3.3)", "grpcio (>=1.63.0,<1.68)", "numpy (>=1.19.1)", "packaging (>=14.1)", "perf-analyzer", "protobuf (>=6.30.0,<7.0)", "python-rapidjson (>=0.9.1)"] cuda = ["cuda-python"] -grpc = ["grpcio (>=1.63.0,<1.68)", "numpy (>=1.19.1)", "packaging (>=14.1)", "protobuf (>=5.26.1,<6.0.dev0)", "python-rapidjson (>=0.9.1)"] +grpc = ["grpcio (>=1.63.0,<1.68)", "numpy (>=1.19.1)", "packaging (>=14.1)", "protobuf (>=6.30.0,<7.0)", "python-rapidjson (>=0.9.1)"] http = ["aiohttp (>=3.8.1,<4.0.0)", "geventhttpclient (>=2.3.3)", "numpy (>=1.19.1)", "python-rapidjson (>=0.9.1)"] perf-analyzer = ["perf-analyzer"] @@ -2461,4 +2460,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"] [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "cf300be248b685ba0d45a682bf08209d1793afd81ed57faac2357a8adcc4d304" +content-hash = "9fbbe64e936222cbe44fe0cdd487be9e9c009a8cd388911b59df10c801ca8378" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index 924b626aacfa..8da1d1aedcdc 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -9,7 +9,7 @@ requires-python = ">=3.10,<3.13" dependencies = [ "regex (>=2026.2.28,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", - "tritonclient[all] (>=2.66.0,<3.0.0)", + "tritonclient[all] (>=2.67.0,<3.0.0)", "transformers (==4.57.3)", "tabulate (>=0.10.0,<0.11.0)", "torchao (>=0.14.1)" From e5c1a58b7e763c27f7947d16422fdebd46252932 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 30 Mar 2026 04:23:03 +0000 Subject: [PATCH 223/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../cpp/kernels/fmha_v2/poetry.lock | 2 +- security_scanning/docs/poetry.lock | 10 +- security_scanning/examples/apps/poetry.lock | 2 +- .../examples/auto_deploy/poetry.lock | 482 ++++++------- .../examples/draft_target_model/poetry.lock | 628 ++++++++--------- security_scanning/examples/eagle/poetry.lock | 628 ++++++++--------- .../llm-eval/lm-eval-harness/poetry.lock | 628 ++++++++--------- .../examples/longbench/poetry.lock | 2 +- .../examples/lookahead/poetry.lock | 628 ++++++++--------- security_scanning/examples/medusa/poetry.lock | 628 ++++++++--------- .../models/contrib/baichuan/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/bloom/poetry.lock | 628 ++++++++--------- .../models/contrib/chatglm-6b/poetry.lock | 628 ++++++++--------- .../models/contrib/chatglm2-6b/poetry.lock | 628 ++++++++--------- .../contrib/chatglm3-6b-32k/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/dbrx/poetry.lock | 628 ++++++++--------- .../models/contrib/deepseek_v1/poetry.lock | 628 ++++++++--------- .../models/contrib/deepseek_v2/poetry.lock | 628 ++++++++--------- .../models/contrib/falcon/poetry.lock | 482 ++++++------- .../examples/models/contrib/gptj/poetry.lock | 628 ++++++++--------- .../models/contrib/gptneox/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/grok/poetry.lock | 628 ++++++++--------- .../models/contrib/hyperclovax/poetry.lock | 10 +- .../models/contrib/internlm/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/jais/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/mmdit/poetry.lock | 240 +++---- .../examples/models/contrib/mpt/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/opt/poetry.lock | 628 ++++++++--------- .../models/contrib/skywork/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/smaug/poetry.lock | 628 ++++++++--------- .../examples/models/contrib/stdit/poetry.lock | 240 +++---- .../examples/models/core/commandr/poetry.lock | 628 ++++++++--------- .../examples/models/core/gemma/poetry.lock | 482 ++++++------- .../examples/models/core/glm-4-9b/poetry.lock | 628 ++++++++--------- .../examples/models/core/gpt/poetry.lock | 628 ++++++++--------- .../models/core/internlm2/poetry.lock | 2 +- .../examples/models/core/llama/poetry.lock | 482 ++++++------- .../examples/models/core/mamba/poetry.lock | 482 ++++++------- .../examples/models/core/mixtral/poetry.lock | 232 +++---- .../examples/models/core/mllama/poetry.lock | 240 +++---- .../examples/models/core/nemotron/poetry.lock | 628 ++++++++--------- .../examples/models/core/phi/poetry.lock | 628 ++++++++--------- .../examples/models/core/qwen/poetry.lock | 636 +++++++++--------- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 628 ++++++++--------- .../examples/models/core/qwenvl/poetry.lock | 628 ++++++++--------- .../models/core/recurrentgemma/poetry.lock | 482 ++++++------- .../examples/models/core/whisper/poetry.lock | 628 ++++++++--------- security_scanning/examples/ngram/poetry.lock | 628 ++++++++--------- .../examples/quantization/poetry.lock | 628 ++++++++--------- .../examples/ray_orchestrator/poetry.lock | 244 +++---- .../examples/redrafter/poetry.lock | 628 ++++++++--------- .../scaffolding/contrib/Dynasor/poetry.lock | 2 +- security_scanning/examples/serve/poetry.lock | 628 ++++++++--------- .../examples/trtllm-eval/poetry.lock | 628 ++++++++--------- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 490 +++++++------- security_scanning/pyproject.toml | 4 +- .../tests/integration/defs/perf/poetry.lock | 2 +- security_scanning/triton_backend/poetry.lock | 476 ++++++------- .../triton_backend/pyproject.toml | 2 +- 61 files changed, 13857 insertions(+), 13857 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index aeb36e5a18a3..9c7862363102 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock 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224/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 7 +- .../examples/auto_deploy/poetry.lock | 7 +- .../examples/draft_target_model/poetry.lock | 7 +- security_scanning/examples/eagle/poetry.lock | 7 +- .../llm-eval/lm-eval-harness/poetry.lock | 7 +- .../examples/lookahead/poetry.lock | 7 +- security_scanning/examples/medusa/poetry.lock | 7 +- .../models/contrib/baichuan/poetry.lock | 7 +- .../examples/models/contrib/bloom/poetry.lock | 7 +- .../models/contrib/chatglm-6b/poetry.lock | 7 +- .../models/contrib/chatglm2-6b/poetry.lock | 7 +- .../contrib/chatglm3-6b-32k/poetry.lock | 7 +- .../examples/models/contrib/dbrx/poetry.lock | 7 +- .../models/contrib/deepseek_v1/poetry.lock | 7 +- .../models/contrib/deepseek_v2/poetry.lock | 7 +- .../models/contrib/falcon/poetry.lock | 7 +- .../examples/models/contrib/gptj/poetry.lock | 7 +- .../models/contrib/gptneox/poetry.lock | 7 +- .../examples/models/contrib/grok/poetry.lock | 7 +- .../models/contrib/internlm/poetry.lock | 7 +- .../examples/models/contrib/jais/poetry.lock | 7 +- .../examples/models/contrib/mmdit/poetry.lock | 7 +- .../examples/models/contrib/mpt/poetry.lock | 7 +- .../examples/models/contrib/opt/poetry.lock | 7 +- .../models/contrib/skywork/poetry.lock | 7 +- .../examples/models/contrib/smaug/poetry.lock | 7 +- .../examples/models/contrib/stdit/poetry.lock | 7 +- .../examples/models/core/commandr/poetry.lock | 7 +- .../examples/models/core/gemma/poetry.lock | 7 +- .../examples/models/core/glm-4-9b/poetry.lock | 7 +- .../examples/models/core/gpt/poetry.lock | 7 +- .../examples/models/core/llama/poetry.lock | 7 +- .../examples/models/core/mamba/poetry.lock | 7 +- .../examples/models/core/mixtral/poetry.lock | 7 +- .../examples/models/core/mllama/poetry.lock | 7 +- .../examples/models/core/nemotron/poetry.lock | 7 +- .../examples/models/core/phi/poetry.lock | 7 +- .../examples/models/core/qwen/poetry.lock | 7 +- .../models/core/qwen2audio/poetry.lock | 7 +- .../examples/models/core/qwenvl/poetry.lock | 7 +- .../models/core/recurrentgemma/poetry.lock | 7 +- .../examples/models/core/whisper/poetry.lock | 7 +- security_scanning/examples/ngram/poetry.lock | 7 +- .../examples/quantization/poetry.lock | 7 +- .../examples/ray_orchestrator/poetry.lock | 141 +++++++++--------- .../examples/redrafter/poetry.lock | 7 +- security_scanning/examples/serve/poetry.lock | 7 +- .../examples/trtllm-eval/poetry.lock | 7 +- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 133 ++++++++--------- security_scanning/triton_backend/poetry.lock | 13 +- 51 files changed, 285 insertions(+), 335 deletions(-) diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index 1d98a136973f..b8cf7a24be77 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -727,14 +727,14 @@ cli = ["click (>=5.0)"] [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -745,7 +745,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", 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@@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock index 30ebad51e597..46ddbf6f2eca 100644 --- a/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock +++ b/security_scanning/examples/llm-eval/lm-eval-harness/poetry.lock @@ -3013,14 +3013,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = 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= "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/medusa/poetry.lock b/security_scanning/examples/medusa/poetry.lock index 78e5bf6f0cf3..8d96a122d692 100644 --- a/security_scanning/examples/medusa/poetry.lock +++ b/security_scanning/examples/medusa/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/baichuan/poetry.lock b/security_scanning/examples/models/contrib/baichuan/poetry.lock index 7569e1937bd4..4735cafe106a 100644 --- a/security_scanning/examples/models/contrib/baichuan/poetry.lock +++ b/security_scanning/examples/models/contrib/baichuan/poetry.lock @@ -1937,14 +1937,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1955,7 +1955,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/bloom/poetry.lock b/security_scanning/examples/models/contrib/bloom/poetry.lock index dfc0153a5bec..652eb3b27aa9 100644 --- a/security_scanning/examples/models/contrib/bloom/poetry.lock +++ b/security_scanning/examples/models/contrib/bloom/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock index 1e4935333e49..931db55f02df 100644 --- a/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm-6b/poetry.lock @@ -1944,14 +1944,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1962,7 +1962,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock index 1e4935333e49..931db55f02df 100644 --- a/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm2-6b/poetry.lock @@ -1944,14 +1944,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1962,7 +1962,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock index 1e4935333e49..931db55f02df 100644 --- a/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock +++ b/security_scanning/examples/models/contrib/chatglm3-6b-32k/poetry.lock @@ -1944,14 +1944,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1962,7 +1962,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/dbrx/poetry.lock b/security_scanning/examples/models/contrib/dbrx/poetry.lock index fb091e8914d2..1a5ab9136eee 100644 --- a/security_scanning/examples/models/contrib/dbrx/poetry.lock +++ b/security_scanning/examples/models/contrib/dbrx/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v1/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock index 4ce8e3d7aa48..fab0ee53d168 100644 --- a/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock +++ b/security_scanning/examples/models/contrib/deepseek_v2/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/falcon/poetry.lock b/security_scanning/examples/models/contrib/falcon/poetry.lock index 67ca44760f16..2b7730a8cfad 100644 --- a/security_scanning/examples/models/contrib/falcon/poetry.lock +++ b/security_scanning/examples/models/contrib/falcon/poetry.lock @@ -1842,14 +1842,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1860,7 +1860,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/gptneox/poetry.lock b/security_scanning/examples/models/contrib/gptneox/poetry.lock index 1813b6c0bb32..62ac19676579 100644 --- a/security_scanning/examples/models/contrib/gptneox/poetry.lock +++ b/security_scanning/examples/models/contrib/gptneox/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/grok/poetry.lock b/security_scanning/examples/models/contrib/grok/poetry.lock index 49aca81b4ca2..599f3c3fbdd2 100644 --- a/security_scanning/examples/models/contrib/grok/poetry.lock +++ b/security_scanning/examples/models/contrib/grok/poetry.lock @@ -2601,14 +2601,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -2619,7 +2619,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/internlm/poetry.lock b/security_scanning/examples/models/contrib/internlm/poetry.lock index 78e5bf6f0cf3..8d96a122d692 100644 --- a/security_scanning/examples/models/contrib/internlm/poetry.lock +++ b/security_scanning/examples/models/contrib/internlm/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/jais/poetry.lock b/security_scanning/examples/models/contrib/jais/poetry.lock index dfc0153a5bec..652eb3b27aa9 100644 --- a/security_scanning/examples/models/contrib/jais/poetry.lock +++ b/security_scanning/examples/models/contrib/jais/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/mmdit/poetry.lock b/security_scanning/examples/models/contrib/mmdit/poetry.lock index 2c0b7b21b57b..57db87640849 100644 --- a/security_scanning/examples/models/contrib/mmdit/poetry.lock +++ b/security_scanning/examples/models/contrib/mmdit/poetry.lock @@ -937,14 +937,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -955,7 +955,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/mpt/poetry.lock b/security_scanning/examples/models/contrib/mpt/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/contrib/mpt/poetry.lock +++ b/security_scanning/examples/models/contrib/mpt/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/opt/poetry.lock b/security_scanning/examples/models/contrib/opt/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/contrib/opt/poetry.lock +++ b/security_scanning/examples/models/contrib/opt/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/skywork/poetry.lock b/security_scanning/examples/models/contrib/skywork/poetry.lock index dfc0153a5bec..652eb3b27aa9 100644 --- a/security_scanning/examples/models/contrib/skywork/poetry.lock +++ b/security_scanning/examples/models/contrib/skywork/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/smaug/poetry.lock b/security_scanning/examples/models/contrib/smaug/poetry.lock index dfc0153a5bec..652eb3b27aa9 100644 --- a/security_scanning/examples/models/contrib/smaug/poetry.lock +++ b/security_scanning/examples/models/contrib/smaug/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/contrib/stdit/poetry.lock b/security_scanning/examples/models/contrib/stdit/poetry.lock index 4c8b158af865..b7e0b3e03706 100644 --- a/security_scanning/examples/models/contrib/stdit/poetry.lock +++ b/security_scanning/examples/models/contrib/stdit/poetry.lock @@ -2048,14 +2048,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -2066,7 +2066,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/commandr/poetry.lock b/security_scanning/examples/models/core/commandr/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/core/commandr/poetry.lock +++ b/security_scanning/examples/models/core/commandr/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/gemma/poetry.lock b/security_scanning/examples/models/core/gemma/poetry.lock index 664ffc794580..b4d84d9a3aa0 100644 --- a/security_scanning/examples/models/core/gemma/poetry.lock +++ b/security_scanning/examples/models/core/gemma/poetry.lock @@ -2338,14 +2338,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -2356,7 +2356,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/glm-4-9b/poetry.lock b/security_scanning/examples/models/core/glm-4-9b/poetry.lock index 1e4935333e49..931db55f02df 100644 --- a/security_scanning/examples/models/core/glm-4-9b/poetry.lock +++ b/security_scanning/examples/models/core/glm-4-9b/poetry.lock @@ -1944,14 +1944,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1962,7 +1962,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/gpt/poetry.lock b/security_scanning/examples/models/core/gpt/poetry.lock index dfc0153a5bec..652eb3b27aa9 100644 --- a/security_scanning/examples/models/core/gpt/poetry.lock +++ b/security_scanning/examples/models/core/gpt/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/llama/poetry.lock b/security_scanning/examples/models/core/llama/poetry.lock index 01192dcb0dd0..87fff5f4cbb0 100644 --- a/security_scanning/examples/models/core/llama/poetry.lock +++ b/security_scanning/examples/models/core/llama/poetry.lock @@ -1842,14 +1842,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1860,7 +1860,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/mamba/poetry.lock b/security_scanning/examples/models/core/mamba/poetry.lock index 2f8deba5ba2d..16a6b809ad2e 100644 --- a/security_scanning/examples/models/core/mamba/poetry.lock +++ b/security_scanning/examples/models/core/mamba/poetry.lock @@ -1842,14 +1842,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1860,7 +1860,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/mixtral/poetry.lock b/security_scanning/examples/models/core/mixtral/poetry.lock index 2bcb88419c72..71a767dd3807 100644 --- a/security_scanning/examples/models/core/mixtral/poetry.lock +++ b/security_scanning/examples/models/core/mixtral/poetry.lock @@ -1137,14 +1137,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1155,7 +1155,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/mllama/poetry.lock b/security_scanning/examples/models/core/mllama/poetry.lock index df012302bc6f..5b596e0c7948 100644 --- a/security_scanning/examples/models/core/mllama/poetry.lock +++ b/security_scanning/examples/models/core/mllama/poetry.lock @@ -1488,14 +1488,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1506,7 +1506,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/nemotron/poetry.lock b/security_scanning/examples/models/core/nemotron/poetry.lock index f944adf034b4..7e3e3c277d92 100644 --- a/security_scanning/examples/models/core/nemotron/poetry.lock +++ b/security_scanning/examples/models/core/nemotron/poetry.lock @@ -1926,14 +1926,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1944,7 +1944,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/phi/poetry.lock b/security_scanning/examples/models/core/phi/poetry.lock index aec3cad18357..d7c199bb49c7 100644 --- a/security_scanning/examples/models/core/phi/poetry.lock +++ b/security_scanning/examples/models/core/phi/poetry.lock @@ -1938,14 +1938,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1956,7 +1956,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/qwen/poetry.lock b/security_scanning/examples/models/core/qwen/poetry.lock index 0ba06f049c64..eee942c209d8 100644 --- a/security_scanning/examples/models/core/qwen/poetry.lock +++ b/security_scanning/examples/models/core/qwen/poetry.lock @@ -2667,14 +2667,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -2685,7 +2685,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/qwen2audio/poetry.lock b/security_scanning/examples/models/core/qwen2audio/poetry.lock index bdb0c57a127d..cef7e5254f01 100644 --- a/security_scanning/examples/models/core/qwen2audio/poetry.lock +++ b/security_scanning/examples/models/core/qwen2audio/poetry.lock @@ -1938,14 +1938,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = "requests-2.33.1.tar.gz", hash = "sha256:18817f8c57c6263968bc123d237e3b8b08ac046f5456bd1e307ee8f4250d3517"}, ] [package.dependencies] @@ -1956,7 +1956,6 @@ urllib3 = ">=1.26,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] -test = ["PySocks (>=1.5.6,!=1.5.7)", "pytest (>=3)", "pytest-cov", "pytest-httpbin (==2.1.0)", "pytest-mock", "pytest-xdist"] use-chardet-on-py3 = ["chardet (>=3.0.2,<8)"] [[package]] diff --git a/security_scanning/examples/models/core/qwenvl/poetry.lock b/security_scanning/examples/models/core/qwenvl/poetry.lock index e4a312ba0551..dd98742c60ba 100644 --- a/security_scanning/examples/models/core/qwenvl/poetry.lock +++ b/security_scanning/examples/models/core/qwenvl/poetry.lock @@ -3029,14 +3029,14 @@ files = [ [[package]] name = "requests" -version = "2.33.0" +version = "2.33.1" description = "Python HTTP for Humans." optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "requests-2.33.0-py3-none-any.whl", hash = "sha256:3324635456fa185245e24865e810cecec7b4caf933d7eb133dcde67d48cee69b"}, - {file = "requests-2.33.0.tar.gz", hash = "sha256:c7ebc5e8b0f21837386ad0e1c8fe8b829fa5f544d8df3b2253bff14ef29d7652"}, + {file = "requests-2.33.1-py3-none-any.whl", hash = "sha256:4e6d1ef462f3626a1f0a0a9c42dd93c63bad33f9f1c1937509b8c5c8718ab56a"}, + {file = 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pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../examples/auto_deploy/poetry.lock | 400 +++++++------- .../examples/draft_target_model/poetry.lock | 392 +++++++------- security_scanning/examples/eagle/poetry.lock | 392 +++++++------- .../llm-eval/lm-eval-harness/poetry.lock | 400 +++++++------- .../examples/lookahead/poetry.lock | 392 +++++++------- security_scanning/examples/medusa/poetry.lock | 392 +++++++------- .../models/contrib/baichuan/poetry.lock | 392 +++++++------- .../examples/models/contrib/bloom/poetry.lock | 392 +++++++------- .../models/contrib/chatglm-6b/poetry.lock | 392 +++++++------- .../models/contrib/chatglm2-6b/poetry.lock | 392 +++++++------- .../contrib/chatglm3-6b-32k/poetry.lock | 392 +++++++------- .../examples/models/contrib/dbrx/poetry.lock | 392 +++++++------- .../models/contrib/deepseek_v1/poetry.lock | 392 +++++++------- .../models/contrib/deepseek_v2/poetry.lock | 392 +++++++------- .../models/contrib/falcon/poetry.lock | 392 +++++++------- .../examples/models/contrib/gptj/poetry.lock | 392 +++++++------- .../models/contrib/gptneox/poetry.lock | 392 +++++++------- .../examples/models/contrib/grok/poetry.lock | 392 +++++++------- .../models/contrib/hyperclovax/poetry.lock | 52 +- .../models/contrib/internlm/poetry.lock | 392 +++++++------- .../examples/models/contrib/jais/poetry.lock | 392 +++++++------- .../examples/models/contrib/mmdit/poetry.lock | 52 +- .../examples/models/contrib/mpt/poetry.lock | 392 +++++++------- .../examples/models/contrib/opt/poetry.lock | 392 +++++++------- .../models/contrib/skywork/poetry.lock | 392 +++++++------- .../examples/models/contrib/smaug/poetry.lock | 392 +++++++------- .../examples/models/contrib/stdit/poetry.lock | 52 +- .../examples/models/core/commandr/poetry.lock | 392 +++++++------- .../examples/models/core/gemma/poetry.lock | 392 +++++++------- .../examples/models/core/glm-4-9b/poetry.lock | 392 +++++++------- .../examples/models/core/gpt/poetry.lock | 392 +++++++------- .../examples/models/core/llama/poetry.lock | 392 +++++++------- .../examples/models/core/mamba/poetry.lock | 392 +++++++------- .../examples/models/core/mixtral/poetry.lock | 52 +- .../examples/models/core/mllama/poetry.lock | 52 +- .../examples/models/core/nemotron/poetry.lock | 392 +++++++------- .../examples/models/core/phi/poetry.lock | 392 +++++++------- .../examples/models/core/qwen/poetry.lock | 444 ++++++++-------- .../models/core/qwen2audio/poetry.lock | 392 +++++++------- .../examples/models/core/qwenvl/poetry.lock | 392 +++++++------- .../models/core/recurrentgemma/poetry.lock | 392 +++++++------- .../examples/models/core/whisper/poetry.lock | 490 +++++++++--------- security_scanning/examples/ngram/poetry.lock | 392 +++++++------- .../examples/quantization/poetry.lock | 392 +++++++------- .../examples/ray_orchestrator/poetry.lock | 242 ++++----- .../examples/redrafter/poetry.lock | 392 +++++++------- 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recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- security_scanning/docs/poetry.lock | 260 +++++----- .../examples/auto_deploy/poetry.lock | 287 +++++------ .../examples/draft_target_model/poetry.lock | 260 +++++----- security_scanning/examples/eagle/poetry.lock | 260 +++++----- .../llm-eval/lm-eval-harness/poetry.lock | 294 +++++------ .../examples/lookahead/poetry.lock | 260 +++++----- security_scanning/examples/medusa/poetry.lock | 260 +++++----- .../models/contrib/baichuan/poetry.lock | 286 ++++++----- .../examples/models/contrib/bloom/poetry.lock | 273 +++++----- .../models/contrib/chatglm-6b/poetry.lock | 273 +++++----- .../models/contrib/chatglm2-6b/poetry.lock | 273 +++++----- .../contrib/chatglm3-6b-32k/poetry.lock | 273 +++++----- .../examples/models/contrib/dbrx/poetry.lock | 273 +++++----- .../models/contrib/deepseek_v1/poetry.lock | 273 +++++----- .../models/contrib/deepseek_v2/poetry.lock | 273 +++++----- .../models/contrib/falcon/poetry.lock | 286 ++++++----- .../examples/models/contrib/gptj/poetry.lock | 273 +++++----- .../models/contrib/gptneox/poetry.lock | 273 +++++----- .../examples/models/contrib/grok/poetry.lock | 273 +++++----- .../models/contrib/hyperclovax/poetry.lock | 197 +++---- .../models/contrib/internlm/poetry.lock | 273 +++++----- .../examples/models/contrib/jais/poetry.lock | 273 +++++----- .../examples/models/contrib/mmdit/poetry.lock | 470 ++++++++--------- .../examples/models/contrib/mpt/poetry.lock | 273 +++++----- .../examples/models/contrib/opt/poetry.lock | 273 +++++----- .../models/contrib/skywork/poetry.lock | 273 +++++----- .../examples/models/contrib/smaug/poetry.lock | 273 +++++----- .../examples/models/contrib/stdit/poetry.lock | 286 ++++++----- .../examples/models/core/commandr/poetry.lock | 273 +++++----- .../examples/models/core/gemma/poetry.lock | 273 +++++----- .../examples/models/core/glm-4-9b/poetry.lock | 260 +++++----- .../examples/models/core/gpt/poetry.lock | 260 +++++----- .../examples/models/core/llama/poetry.lock | 286 ++++++----- .../examples/models/core/mamba/poetry.lock | 286 ++++++----- .../examples/models/core/mixtral/poetry.lock | 260 +++++----- .../examples/models/core/mllama/poetry.lock | 444 ++++++++-------- .../examples/models/core/nemotron/poetry.lock | 273 +++++----- .../examples/models/core/phi/poetry.lock | 273 +++++----- .../examples/models/core/qwen/poetry.lock | 330 ++++++------ .../models/core/qwen2audio/poetry.lock | 286 ++++++----- .../examples/models/core/qwenvl/poetry.lock | 470 ++++++++--------- .../models/core/recurrentgemma/poetry.lock | 286 ++++++----- .../examples/models/core/whisper/poetry.lock | 283 +++++----- .../models/core/whisper/pyproject.toml | 2 +- security_scanning/examples/ngram/poetry.lock | 260 +++++----- .../examples/quantization/poetry.lock | 273 +++++----- .../examples/ray_orchestrator/poetry.lock | 274 +++++----- .../examples/redrafter/poetry.lock | 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tiktoken = ["blobfile", "tiktoken"] timm = ["timm (>=1.0.23)"] torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"] diff --git a/security_scanning/examples/models/contrib/gptj/poetry.lock b/security_scanning/examples/models/contrib/gptj/poetry.lock index eaaa14b308f4..a7dfe2b0038c 100644 --- a/security_scanning/examples/models/contrib/gptj/poetry.lock +++ b/security_scanning/examples/models/contrib/gptj/poetry.lock @@ -254,141 +254,141 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.4.6" +version = "3.4.7" description = "The Real First Universal Charset Detector. 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[[package]] From d607bf54657b199cdecf56ee595d4c7bcef53095 Mon Sep 17 00:00:00 2001 From: Yiteng Niu <6831097+niukuo@users.noreply.github.com> Date: Wed, 8 Apr 2026 12:15:17 +0800 Subject: [PATCH 227/241] [None][infra] use public torch index as CI backup (#12261) (#12804) Signed-off-by: Tyler Burt <195370667+tburt-nv@users.noreply.github.com> Signed-off-by: Yiteng Niu <6831097+niukuo@users.noreply.github.com> Co-authored-by: tburt-nv <195370667+tburt-nv@users.noreply.github.com> --- jenkins/L0_Test.groovy | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index f3979dc4a989..469007a6677e 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -3558,9 +3558,9 @@ def launchTestJobs(pipeline, testFilter) // Use internal mirror instead of https://download.pytorch.org/whl/cu130 for better network stability. // PyTorch CUDA 13.0 package and torchvision package can be installed as expected. if (k8s_arch == "amd64") { - trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install torch==2.9.1+cu130 torchvision==0.24.1+cu130 --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/pytorch-cu128-remote/simple") + trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install torch==2.9.1+cu130 torchvision==0.24.1+cu130 --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/pytorch-cu128-remote/simple --extra-index-url https://download.pytorch.org/whl/cu130") } else { - trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install torch==2.9.1+cu130 torchvision==0.24.1 --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/pytorch-cu128-remote/simple") + trtllm_utils.llmExecStepWithRetry(pipeline, script: "pip3 install torch==2.9.1+cu130 torchvision==0.24.1 --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/pytorch-cu128-remote/simple --extra-index-url https://download.pytorch.org/whl/cu130") } } From 4403635132308e11394927038e28b9171c4a88c6 Mon Sep 17 00:00:00 2001 From: xiweny <13230610+VALLIS-NERIA@users.noreply.github.com> Date: Wed, 8 Apr 2026 14:02:47 +0800 Subject: [PATCH 228/241] [None][doc] Update release note 1.2.1 (#12825) Signed-off-by: Xiwen Yu <13230610+VALLIS-NERIA@users.noreply.github.com> --- docs/source/release-notes.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/docs/source/release-notes.md b/docs/source/release-notes.md index 5d02941ee28c..b689787813a5 100644 --- a/docs/source/release-notes.md +++ b/docs/source/release-notes.md @@ -4,6 +4,16 @@ All published functionality in the Release Notes has been fully tested and verified with known limitations documented. To share feedback about this release, access our [NVIDIA Developer Forum](https://forums.developer.nvidia.com/). +## TensorRT-LLM Release 1.2.1 + +### Highlights + +- **Fixed Issue** + - Fixed an issue that caused KV cache corruption (#12770) + +- **Infrastructure Changes** + - Upgraded xgrammar and flashinfer (#12811) + ## TensorRT-LLM Release 1.2 ### Highlights From 9532fedff32916ef56ff9c6a50a84907ba2f3e45 Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Wed, 8 Apr 2026 01:33:15 -0700 Subject: [PATCH 229/241] [None][infra] Bump xgrammar (#12811) --- 3rdparty/CMakeLists.txt | 9 +++++++-- 3rdparty/patches/xgrammar_constexpr.patch | 19 +++++++++++++++++++ requirements.txt | 4 ++-- security_scanning/pyproject.toml | 2 +- 4 files changed, 29 insertions(+), 5 deletions(-) create mode 100644 3rdparty/patches/xgrammar_constexpr.patch diff --git a/3rdparty/CMakeLists.txt b/3rdparty/CMakeLists.txt index 93565ae099b0..fd627e5a1043 100644 --- a/3rdparty/CMakeLists.txt +++ b/3rdparty/CMakeLists.txt @@ -108,11 +108,16 @@ FetchContent_Declare( SOURCE_SUBDIR dont-add-this-project-with-add-subdirectory) +set(_patch_file "${CMAKE_CURRENT_SOURCE_DIR}/patches/xgrammar_constexpr.patch") FetchContent_Declare( xgrammar GIT_REPOSITORY https://github.com/mlc-ai/xgrammar - GIT_TAG v0.1.25 # e4e816f5f0fe39f5b1601a17a4552307fa3b70ff + GIT_TAG v0.1.32 # 62e13551b9b63251114894c5ee638564b160dd48 GIT_SHALLOW TRUE # NOTE: TensorRT-LLM only uses the headers SOURCE_SUBDIR - dont-add-this-project-with-add-subdirectory) + dont-add-this-project-with-add-subdirectory + PATCH_COMMAND + bash -c "patch -p1 --forward --batch --dry-run -i '${_patch_file}' && \ + patch -p1 --forward --batch -i '${_patch_file}' || \ + echo 'Patch already applied, skipping.'") diff --git a/3rdparty/patches/xgrammar_constexpr.patch b/3rdparty/patches/xgrammar_constexpr.patch new file mode 100644 index 000000000000..f4e5be99a216 --- /dev/null +++ b/3rdparty/patches/xgrammar_constexpr.patch @@ -0,0 +1,19 @@ +--- a/cpp/grammar_functor.cc ++++ b/cpp/grammar_functor.cc +@@ -1750,11 +1750,11 @@ + void Apply(Grammar* grammar); + static std::optional HashSequence(const Grammar& grammar, int32_t sequence_id); + +- static const int16_t kNotEndStateFlag = -0x100; +- static const int16_t kEndStateFlag = -0x200; +- static const int16_t kSelfRecursionFlag = -0x300; +- static const int16_t kSimpleCycleFlag = -0x400; +- static const int16_t kUnKnownFlag = -0x500; ++ static constexpr int16_t kNotEndStateFlag = -0x100; ++ static constexpr int16_t kEndStateFlag = -0x200; ++ static constexpr int16_t kSelfRecursionFlag = -0x300; ++ static constexpr int16_t kSimpleCycleFlag = -0x400; ++ static constexpr int16_t kUnKnownFlag = -0x500; + + private: + Grammar* grammar_; diff --git a/requirements.txt b/requirements.txt index 36e5201031c3..65d622cd91b3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -52,9 +52,9 @@ ordered-set peft patchelf einops -flashinfer-python~=0.6.1 +flashinfer-python==0.6.4 opencv-python-headless -xgrammar==0.1.25 +xgrammar==0.1.32 llguidance==0.7.29 jsonschema backoff diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index bc8c4e8e68f3..c9a687b5089e 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "patchelf (>=0.17.2.4,<0.18.0.0)", "einops (>=0.8.2,<0.9.0)", "flashinfer-python (>=0.6.1,<0.7.0)", - "xgrammar (==0.1.25)", + "xgrammar (==0.1.32)", "llguidance (==0.7.29)", "jsonschema (>=4.26.0,<5.0.0)", "backoff (>=2.2.1,<3.0.0)", From 52d725097bdd51afc04993990bca861f49fca58b Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Wed, 8 Apr 2026 06:15:47 -0700 Subject: [PATCH 230/241] [None][infra] Bump version to 1.2.1 (#12755) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- README.md | 2 +- examples/constraints.txt | 2 +- tensorrt_llm/version.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 65e1e4071215..a02688977d2f 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.< [![python](https://img.shields.io/badge/python-3.10-green)](https://www.python.org/downloads/release/python-31012/) [![cuda](https://img.shields.io/badge/cuda-13.1.0-green)](https://developer.nvidia.com/cuda-downloads) [![torch](https://img.shields.io/badge/torch-2.9.1-green)](https://pytorch.org) -[![version](https://img.shields.io/badge/release-1.2.0-green)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/tensorrt_llm/version.py) +[![version](https://img.shields.io/badge/release-1.2.1-green)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/tensorrt_llm/version.py) [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/NVIDIA/TensorRT-LLM/blob/main/LICENSE) [Architecture](https://nvidia.github.io/TensorRT-LLM/developer-guide/overview.html)   |   [Performance](https://nvidia.github.io/TensorRT-LLM/developer-guide/perf-overview.html)   |   [Examples](https://nvidia.github.io/TensorRT-LLM/quick-start-guide.html)   |   [Documentation](https://nvidia.github.io/TensorRT-LLM/)   |   [Roadmap](https://github.com/NVIDIA/TensorRT-LLM/issues?q=is%3Aissue%20state%3Aopen%20label%3Aroadmap) diff --git a/examples/constraints.txt b/examples/constraints.txt index 6bb62a88f99a..7be86f4c4d17 100644 --- a/examples/constraints.txt +++ b/examples/constraints.txt @@ -1,3 +1,3 @@ -tensorrt_llm==1.2.0 +tensorrt_llm==1.2.1 evaluate~=0.4.1 rouge_score~=0.1.2 diff --git a/tensorrt_llm/version.py b/tensorrt_llm/version.py index e93734230cfe..68372ba7bcfe 100644 --- a/tensorrt_llm/version.py +++ b/tensorrt_llm/version.py @@ -12,4 +12,4 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "1.2.0" +__version__ = "1.2.1" From 833aceb98408792349f5ef85072fb652c353375d Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Wed, 8 Apr 2026 20:45:09 -0700 Subject: [PATCH 231/241] [None][infra] Move B200 tests from lbd to computelabsc01 (#12874) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- jenkins/L0_Test.groovy | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/jenkins/L0_Test.groovy b/jenkins/L0_Test.groovy index 469007a6677e..d231ce53e600 100644 --- a/jenkins/L0_Test.groovy +++ b/jenkins/L0_Test.groovy @@ -3279,12 +3279,12 @@ def launchTestJobs(pipeline, testFilter) "DGX_H100-4_GPUs-PyTorch-Others-1": ["dgx-h100-x4-oci", "l0_dgx_h100", 1, 1, 4], "DGX_H100-4_GPUs-PyTorch-Ray-1": ["dgx-h100-x4-oci", "l0_dgx_h100", 1, 1, 4], "DGX_H100-4_GPUs-AutoDeploy-1": ["dgx-h100-x4-oci", "l0_dgx_h100", 1, 1, 4], - "DGX_B200-4_GPUs-PyTorch-1": ["b200-x4-lbd", "l0_dgx_b200", 1, 1, 4, 1, true], - "DGX_B200-4_GPUs-PyTorch-Ray-1": ["b200-x4-lbd", "l0_dgx_b200", 1, 1, 4, 1, true], - "DGX_B200-4_GPUs-AutoDeploy-1": ["b200-x4-lbd", "l0_dgx_b200", 1, 1, 4, 1, true], - "DGX_B200-8_GPUs-PyTorch-1": ["b200-x8-lbd", "l0_dgx_b200", 1, 1, 8, 1, true], - "DGX_B200-4_GPUs-PyTorch-Post-Merge-1": ["b200-x4-lbd", "l0_dgx_b200", 1, 2, 4, 1, true], - "DGX_B200-4_GPUs-PyTorch-Post-Merge-2": ["b200-x4-lbd", "l0_dgx_b200", 2, 2, 4, 1, true], + "DGX_B200-4_GPUs-PyTorch-1": ["b200-x4", "l0_dgx_b200", 1, 1, 4, 1, true], + "DGX_B200-4_GPUs-PyTorch-Ray-1": ["b200-x4", "l0_dgx_b200", 1, 1, 4, 1, true], + "DGX_B200-4_GPUs-AutoDeploy-1": ["b200-x4", "l0_dgx_b200", 1, 1, 4, 1, true], + "DGX_B200-8_GPUs-PyTorch-1": ["b200-x8", "l0_dgx_b200", 1, 1, 8, 1, true], + "DGX_B200-4_GPUs-PyTorch-Post-Merge-1": ["b200-x4", "l0_dgx_b200", 1, 2, 4, 1, true], + "DGX_B200-4_GPUs-PyTorch-Post-Merge-2": ["b200-x4", "l0_dgx_b200", 2, 2, 4, 1, true], "B300-PyTorch-1": ["b300-single", "l0_b300", 1, 1], "DGX_B300-4_GPUs-PyTorch-1": ["b300-x4", "l0_dgx_b300", 1, 1, 4], "DGX_B300-4_GPUs-PyTorch-Post-Merge-1": ["b300-x4", "l0_dgx_b300", 1, 2, 4], From f461db0c8fe5d53ebf23c365720bd98233c60329 Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Wed, 8 Apr 2026 21:50:49 -0700 Subject: [PATCH 232/241] [None][infra] Bump black and tornado (#12876) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> Co-authored-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> --- constraints.txt | 4 ++++ examples/models/core/gemma/requirements.txt | 1 - requirements-dev.txt | 2 +- requirements.txt | 4 ++-- 4 files changed, 7 insertions(+), 4 deletions(-) diff --git a/constraints.txt b/constraints.txt index 25ae35bdecfc..17a66eff2535 100644 --- a/constraints.txt +++ b/constraints.txt @@ -8,3 +8,7 @@ wheel>=0.46.2 protobuf>=6.33.5 # WAR against https://github.com/advisories/GHSA-6mq8-rvhq-8wgg aiohttp>=3.13.3 +# WAR against https://github.com/advisories/GHSA-qjxf-f2mg-c6mc +tornado>=6.5.5 +# WAR against https://github.com/advisories/GHSA-3936-cmfr-pm3m +black>=26.3.1 diff --git a/examples/models/core/gemma/requirements.txt b/examples/models/core/gemma/requirements.txt index 20f8719a379c..a1bbed25b68a 100644 --- a/examples/models/core/gemma/requirements.txt +++ b/examples/models/core/gemma/requirements.txt @@ -5,7 +5,6 @@ nvidia-cudnn-cu12~=8.9; platform_machine == "x86_64" tensorrt_llm>=0.0.0.dev0 flax~=0.8.0 -numpy<2 # jax[cuda12_pip]~=0.4.19 safetensors~=0.4.1 sentencepiece>=0.1.99 diff --git a/requirements-dev.txt b/requirements-dev.txt index a972122b05aa..1b4a7faf5054 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -36,5 +36,5 @@ opentelemetry-api>=1.26.0 opentelemetry-exporter-otlp>=1.26.0 opentelemetry-semantic-conventions-ai>=0.4.1 fuzzywuzzy==0.18.0 -aiperf==0.4.0 +aiperf==0.6.0 nanobind>=2.9.0 diff --git a/requirements.txt b/requirements.txt index 65d622cd91b3..4d4ab8acea9f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -7,7 +7,7 @@ cuda-python>=13 diffusers>=0.27.0 lark mpi4py -numpy<2 +numpy>=2.0.0,<2.4 # numba 0.63.1 requires numpy<2.4 onnx>=1.18.0,<1.20.0 onnx_graphsurgeon>=0.5.2 openai @@ -70,7 +70,7 @@ blobfile openai-harmony==0.0.4 nvidia-cutlass-dsl==4.3.4; python_version >= "3.10" plotly -numexpr<2.14.0 # WAR for attempted use of nonexistent numpy.typing +numexpr partial_json_parser apache-tvm-ffi==0.1.6 # used for reduce nvidia-cutlass-dsl host overhead torch-c-dlpack-ext==0.1.3 # used for reduce nvidia-cutlass-dsl host overhead, optional package for improved torch tensor calling perf From bfb9d38c02d5d80c4cc15193169030a36b5bc3d9 Mon Sep 17 00:00:00 2001 From: Yiteng Niu <6831097+niukuo@users.noreply.github.com> Date: Thu, 9 Apr 2026 12:55:43 +0800 Subject: [PATCH 233/241] [None][infra] Bump etcd to 3.6.9 to involve grpc fix (#12594) (#12872) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> Signed-off-by: Yiteng Niu <6831097+niukuo@users.noreply.github.com> Co-authored-by: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> --- docker/common/install_etcd.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/common/install_etcd.sh b/docker/common/install_etcd.sh index a598daacc85d..663650dff438 100644 --- a/docker/common/install_etcd.sh +++ b/docker/common/install_etcd.sh @@ -2,7 +2,7 @@ set -ex -ETCD_VER=v3.5.21 +ETCD_VER=v3.6.9 # choose either URL DOWNLOAD_URL=https://storage.googleapis.com/etcd From ce0a11c7f6e981b3119e93048617490928336845 Mon Sep 17 00:00:00 2001 From: Yiteng Niu <6831097+niukuo@users.noreply.github.com> Date: Fri, 10 Apr 2026 04:25:11 +0800 Subject: [PATCH 234/241] Revert "[None][infra] Bump black and tornado (#12876)" (#12894) Signed-off-by: Yiteng Niu <6831097+niukuo@users.noreply.github.com> --- constraints.txt | 4 ---- examples/models/core/gemma/requirements.txt | 1 + jenkins/current_image_tags.properties | 8 ++++---- requirements-dev.txt | 2 +- requirements.txt | 4 ++-- 5 files changed, 8 insertions(+), 11 deletions(-) diff --git a/constraints.txt b/constraints.txt index 17a66eff2535..25ae35bdecfc 100644 --- a/constraints.txt +++ b/constraints.txt @@ -8,7 +8,3 @@ wheel>=0.46.2 protobuf>=6.33.5 # WAR against https://github.com/advisories/GHSA-6mq8-rvhq-8wgg aiohttp>=3.13.3 -# WAR against https://github.com/advisories/GHSA-qjxf-f2mg-c6mc -tornado>=6.5.5 -# WAR against https://github.com/advisories/GHSA-3936-cmfr-pm3m -black>=26.3.1 diff --git a/examples/models/core/gemma/requirements.txt b/examples/models/core/gemma/requirements.txt index a1bbed25b68a..20f8719a379c 100644 --- a/examples/models/core/gemma/requirements.txt +++ b/examples/models/core/gemma/requirements.txt @@ -5,6 +5,7 @@ nvidia-cudnn-cu12~=8.9; platform_machine == "x86_64" tensorrt_llm>=0.0.0.dev0 flax~=0.8.0 +numpy<2 # jax[cuda12_pip]~=0.4.19 safetensors~=0.4.1 sentencepiece>=0.1.99 diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 57500f20a721..542d6ae11c89 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202603011156-11778 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-aarch64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202603011156-11778 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202603011156-11778 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202603011156-11778 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-tritondevel-torch_skip-cc469c6-github-pr-12894-1854 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:sbsa-tritondevel-torch_skip-cc469c6-github-pr-12894-1854 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-rockylinux8-torch_skip-py310-cc469c6-github-pr-12894-1854 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-rockylinux8-torch_skip-py312-cc469c6-github-pr-12894-1854 diff --git a/requirements-dev.txt b/requirements-dev.txt index 1b4a7faf5054..a972122b05aa 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -36,5 +36,5 @@ opentelemetry-api>=1.26.0 opentelemetry-exporter-otlp>=1.26.0 opentelemetry-semantic-conventions-ai>=0.4.1 fuzzywuzzy==0.18.0 -aiperf==0.6.0 +aiperf==0.4.0 nanobind>=2.9.0 diff --git a/requirements.txt b/requirements.txt index 4d4ab8acea9f..65d622cd91b3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -7,7 +7,7 @@ cuda-python>=13 diffusers>=0.27.0 lark mpi4py -numpy>=2.0.0,<2.4 # numba 0.63.1 requires numpy<2.4 +numpy<2 onnx>=1.18.0,<1.20.0 onnx_graphsurgeon>=0.5.2 openai @@ -70,7 +70,7 @@ blobfile openai-harmony==0.0.4 nvidia-cutlass-dsl==4.3.4; python_version >= "3.10" plotly -numexpr +numexpr<2.14.0 # WAR for attempted use of nonexistent numpy.typing partial_json_parser apache-tvm-ffi==0.1.6 # used for reduce nvidia-cutlass-dsl host overhead torch-c-dlpack-ext==0.1.3 # used for reduce nvidia-cutlass-dsl host overhead, optional package for improved torch tensor calling perf From dbf33bbe76de1768871df35c3db305f8305dd0f7 Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Fri, 10 Apr 2026 08:13:07 -0700 Subject: [PATCH 235/241] [None][infra] Tag Image (#12925) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- jenkins/current_image_tags.properties | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 542d6ae11c89..84de899d3fcb 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-tritondevel-torch_skip-cc469c6-github-pr-12894-1854 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:sbsa-tritondevel-torch_skip-cc469c6-github-pr-12894-1854 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-rockylinux8-torch_skip-py310-cc469c6-github-pr-12894-1854 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/tritondevel:x86_64-rockylinux8-torch_skip-py312-cc469c6-github-pr-12894-1854 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604090131-12894 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-sbsa-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604090131-12894 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202604090131-12894 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202604090131-12894 From 47c8c6bfce5bf1691f23d66718f42ce9dcd3940c Mon Sep 17 00:00:00 2001 From: Thor Johnsen <41591019+thorjohnsen@users.noreply.github.com> Date: Sun, 12 Apr 2026 06:33:43 -0500 Subject: [PATCH 236/241] [https://nvbugs/6025177][fix] Cherry-pick KV cache corruption fix to release/1.2.1 (#12770) Signed-off-by: thorjohnsen <41591019+thorjohnsen@users.noreply.github.com> Co-authored-by: Claude Sonnet 4.6 Co-authored-by: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> No need to be blocked by the 3 Nemotron Super test failures due to the discussion over slack. --- .../batch_manager/kvCacheManager.cpp | 48 +++-- cpp/tensorrt_llm/nanobind/CMakeLists.txt | 1 + cpp/tensorrt_llm/nanobind/bindings.cpp | 4 +- .../testing/kvCacheManagerTestUtilBinding.cpp | 37 ++++ .../testing/kvCacheManagerTestUtilBinding.h | 29 +++ .../testing/kvCacheManagerTestUtil.h | 43 ++++ .../batch_manager/capacitySchedulerTest.cpp | 4 +- .../batch_manager/kvCacheManagerTest.cpp | 187 +++++++++++++++++- .../multi_gpu/cacheTransceiverTest.cpp | 5 +- security_scanning/pyproject.toml | 2 +- .../_torch/executor/test_resource_manager.py | 5 + .../llmapi/test_llm_kv_cache_events.py | 4 + 12 files changed, 352 insertions(+), 17 deletions(-) create mode 100644 cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.cpp create mode 100644 cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.h create mode 100644 cpp/tensorrt_llm/testing/kvCacheManagerTestUtil.h diff --git a/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp b/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp index 1ce9a08a91e2..b0c4bd2fd1ce 100644 --- a/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp +++ b/cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp @@ -1,5 +1,5 @@ /* - * SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -89,6 +89,33 @@ std::vector getAllSequenceBlocks(BlockPtr lastBlock) return sequenceBlocks; } +// Compute maximum number of tokens that have been computed by prefill and generation. +// Accounts for chunked prefill to avoid storing state that hasn't been written to KV cache yet. +// We call LlmRequest::getContextRemainingLength to see how many tokens are still waiting to be computed in prefill. +// If this value is > 0 prefill is not finished yet, and number of computed tokens must be capped at the current context +// position. If it is == 0, we are in generation mode, and number of computed tokens equals number of unique tokens +// stored in request. +SizeType32 getMaterializedUniqueTokenCountForReuse( + VecUniqueTokens const& uniqueTokens, tensorrt_llm::batch_manager::LlmRequest const& llmRequest) +{ + auto const totalUniqueTokenCount = static_cast(uniqueTokens.size()); + if (llmRequest.getContextRemainingLength() > 0) + { + return std::min(totalUniqueTokenCount, llmRequest.getContextCurrentPosition()); + } + return totalUniqueTokenCount; +} + +// Compute number of tokens that can be stored for reuse. The last computed token is never stored in KV cache, hence +// cannot be stored for reuse. Number of tokens that can be stored for reuse is thus the greater of 0 or +// getMaterializedUniqueTokenCountForReuse() - 1. +SizeType32 getUsableUniqueTokenCountForReuse( + VecUniqueTokens const& uniqueTokens, tensorrt_llm::batch_manager::LlmRequest const& llmRequest) +{ + auto const materializedUniqueTokenCount = getMaterializedUniqueTokenCountForReuse(uniqueTokens, llmRequest); + return materializedUniqueTokenCount > 0 ? materializedUniqueTokenCount - 1 : 0; +} + } // namespace namespace tensorrt_llm::batch_manager::kv_cache_manager @@ -822,8 +849,9 @@ void BlockManager::storeContextBlocks(GenerationRequest& sequence, LlmRequest co auto cacheBlockIds = sequence.getCacheBlockIds(windowSize); auto const& uniqueTokens = llmRequest.getUniqueTokens(beamIdx); + auto const usableUniqueTokenCount = getUsableUniqueTokenCountForReuse(uniqueTokens, llmRequest); auto blockedUniqueTokens - = chopVectorIntoBlocks(uniqueTokens, uniqueTokens.size() - 1, getTokensPerBlock(), false); + = chopVectorIntoBlocks(uniqueTokens, usableUniqueTokenCount, getTokensPerBlock(), false); auto blockKeys = buildBlockKeys(blockedUniqueTokens, llmRequest); (void) mWindowBlockManagers.at(windowSize).storeBlocks(std::move(blockKeys), cacheBlockIds[beamIdx]); } @@ -1923,11 +1951,9 @@ std::vector WindowBlockManager::storeBlocksForReuse( auto const& uniqueTokens = llmRequest->getUniqueTokens(beamIdx); auto const& cacheBlockIds = sequence.getCacheBlockIds(mWindowSize); - // TODO: get the caller to mark tokens as filled / not filled, so that the kv-cache manager doesn't - // have to guess. Only (length - 1) tokens of the sequence have their kv-state recorded in kv-cache. We assume - // the last token's state is not filled yet. - auto const usableSize = static_cast(uniqueTokens.size()) - 1; - auto blockedUniqueTokens = chopVectorIntoBlocks(uniqueTokens, usableSize, mTokensPerBlock, true); + auto const usableUniqueTokenCount = getUsableUniqueTokenCountForReuse(uniqueTokens, *llmRequest); + auto blockedUniqueTokens + = chopVectorIntoBlocks(uniqueTokens, usableUniqueTokenCount, mTokensPerBlock, true); auto blockKeys = buildBlockKeys(blockedUniqueTokens, *llmRequest); auto [numStored, pinnedBlockIds] = storeBlocks(std::move(blockKeys), cacheBlockIds[beamIdx], pinBlocks); @@ -1960,11 +1986,9 @@ std::optional WindowBlockManager::releaseBlocks( sequence.getRequestId()); } auto const& uniqueTokens = llmRequest->getUniqueTokens(/*beamIdx=*/0); - // Only (length - 1) tokens of the sequence have their kv-state - // recorded in kv-cache. We assume the last token's state is not filled yet. - auto const usableSize = static_cast(uniqueTokens.size()) - 1; - auto blockedUniqueTokens - = chopVectorIntoBlocks(uniqueTokens, usableSize, mTokensPerBlock, /*allowPartial=*/true); + auto const usableUniqueTokenCount = getUsableUniqueTokenCountForReuse(uniqueTokens, *llmRequest); + auto blockedUniqueTokens = chopVectorIntoBlocks( + uniqueTokens, usableUniqueTokenCount, mTokensPerBlock, /*allowPartial=*/true); auto blockKeys = buildBlockKeys(blockedUniqueTokens, *llmRequest); std::vector cacheBlockIds(allocatedBlocks.size()); diff --git a/cpp/tensorrt_llm/nanobind/CMakeLists.txt b/cpp/tensorrt_llm/nanobind/CMakeLists.txt index 9c64b3705d43..bfe88cc914ab 100755 --- a/cpp/tensorrt_llm/nanobind/CMakeLists.txt +++ b/cpp/tensorrt_llm/nanobind/CMakeLists.txt @@ -20,6 +20,7 @@ set(SRCS runtime/bindings.cpp runtime/hostfunc.cpp runtime/moeBindings.cpp + testing/kvCacheManagerTestUtilBinding.cpp testing/modelSpecBinding.cpp userbuffers/bindings.cpp thop/bindings.cpp diff --git a/cpp/tensorrt_llm/nanobind/bindings.cpp b/cpp/tensorrt_llm/nanobind/bindings.cpp index d9c2687c7f2a..41466244bb5f 100644 --- a/cpp/tensorrt_llm/nanobind/bindings.cpp +++ b/cpp/tensorrt_llm/nanobind/bindings.cpp @@ -1,5 +1,5 @@ /* - * SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-FileCopyrightText: Copyright (c) 2022-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -43,6 +43,7 @@ #include "tensorrt_llm/nanobind/executor/bindings.h" #include "tensorrt_llm/nanobind/process_group/bindings.h" #include "tensorrt_llm/nanobind/runtime/bindings.h" +#include "tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.h" #include "tensorrt_llm/nanobind/testing/modelSpecBinding.h" #include "tensorrt_llm/nanobind/thop/bindings.h" #include "tensorrt_llm/nanobind/userbuffers/bindings.h" @@ -494,6 +495,7 @@ NB_MODULE(TRTLLM_NB_MODULE, m) tpb::Buffers::initBindings(mInternalBatchManager); tensorrt_llm::nanobind::runtime::initBindings(mInternalRuntime); tensorrt_llm::nanobind::testing::initBindings(mInternalTesting); + tensorrt_llm::nanobind::testing::initKvCacheTestUtilBindings(mInternalTesting); tpb::initBindings(mInternalBatchManager); tb::kv_cache_manager::KVCacheManagerConnectorBindings::initBindings(mInternalBatchManager); diff --git a/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.cpp b/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.cpp new file mode 100644 index 000000000000..3fb254a2391a --- /dev/null +++ b/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.cpp @@ -0,0 +1,37 @@ +/* + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "kvCacheManagerTestUtilBinding.h" +#include "tensorrt_llm/nanobind/common/customCasters.h" +#include "tensorrt_llm/testing/kvCacheManagerTestUtil.h" + +#include + +namespace nb = nanobind; + +namespace tensorrt_llm::nanobind::testing +{ + +void initKvCacheTestUtilBindings(nb::module_& m) +{ + m.def("simulate_prefill_completion_only_use_for_testing", + &tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion, nb::arg("llm_request"), + nb::call_guard(), + "NEVER USE IN PRODUCTION. Simulates prefill completion on an LlmRequest for test purposes."); +} + +} // namespace tensorrt_llm::nanobind::testing diff --git a/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.h b/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.h new file mode 100644 index 000000000000..db71de17016b --- /dev/null +++ b/cpp/tensorrt_llm/nanobind/testing/kvCacheManagerTestUtilBinding.h @@ -0,0 +1,29 @@ +/* + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#pragma once + +#include + +namespace nb = nanobind; + +namespace tensorrt_llm::nanobind::testing +{ + +void initKvCacheTestUtilBindings(nb::module_& m); + +} // namespace tensorrt_llm::nanobind::testing diff --git a/cpp/tensorrt_llm/testing/kvCacheManagerTestUtil.h b/cpp/tensorrt_llm/testing/kvCacheManagerTestUtil.h new file mode 100644 index 000000000000..d371e0c82520 --- /dev/null +++ b/cpp/tensorrt_llm/testing/kvCacheManagerTestUtil.h @@ -0,0 +1,43 @@ +/* + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#pragma once + +#include "tensorrt_llm/batch_manager/llmRequest.h" + +namespace tensorrt_llm::testing +{ + +/// @brief Test utilities for KV cache manager unit tests. NEVER use in production code. +class KvCacheManagerTestUtil +{ +public: + /// @brief Simulate completion of the prefill stage on an LlmRequest. + /// + /// NEVER CALL FROM PRODUCTION CODE. This is solely for use in unit tests. + /// + /// Most BlockManager/KVCacheManager functions (storeContextBlocks, releaseBlocks, + /// removeSequence, releaseSequence) require prefill to be complete before they are + /// called. This method updates llmRequest state as if prefill has just finished, + /// allowing unit tests to invoke those functions correctly. + static void simulatePrefillCompletion(batch_manager::LlmRequest& llmRequest) + { + llmRequest.setContextCurrentPosition(llmRequest.getPromptLen()); + } +}; + +} // namespace tensorrt_llm::testing diff --git a/cpp/tests/unit_tests/batch_manager/capacitySchedulerTest.cpp b/cpp/tests/unit_tests/batch_manager/capacitySchedulerTest.cpp index ba611e8720ad..875299adc833 100644 --- a/cpp/tests/unit_tests/batch_manager/capacitySchedulerTest.cpp +++ b/cpp/tests/unit_tests/batch_manager/capacitySchedulerTest.cpp @@ -1,5 +1,5 @@ /* - * SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -28,6 +28,7 @@ #include "tensorrt_llm/executor/executor.h" #include "tensorrt_llm/executor/requestUtils.h" #include "tensorrt_llm/executor/types.h" +#include "tensorrt_llm/testing/kvCacheManagerTestUtil.h" #include @@ -401,6 +402,7 @@ int runTest(CapacityScheduler& capacityScheduler, if (llmReq->getContextRemainingLength() == 0) { + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmReq); kvCacheManager->storeContextBlocks(*llmReq); if (crossKvCacheManager) { diff --git a/cpp/tests/unit_tests/batch_manager/kvCacheManagerTest.cpp b/cpp/tests/unit_tests/batch_manager/kvCacheManagerTest.cpp index 0803140f1ca8..2eaa90a25fa0 100644 --- a/cpp/tests/unit_tests/batch_manager/kvCacheManagerTest.cpp +++ b/cpp/tests/unit_tests/batch_manager/kvCacheManagerTest.cpp @@ -1,5 +1,5 @@ /* - * SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -31,6 +31,7 @@ #include "tensorrt_llm/runtime/bufferManager.h" #include "tensorrt_llm/runtime/iBuffer.h" #include "tensorrt_llm/runtime/samplingConfig.h" +#include "tensorrt_llm/testing/kvCacheManagerTestUtil.h" #include "gtest/gtest.h" #include @@ -342,6 +343,7 @@ void runPartialCopyTest() EXPECT_EQ(cudaDeviceSynchronize(), cudaSuccess); EXPECT_TRUE(blockManager.verifyQueueIntegrity(maxAttentionWindow)); } + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); @@ -359,6 +361,7 @@ void runPartialCopyTest() auto cacheBlockIds1 = seq1.getCacheBlockIds(maxAttentionWindow).at(beamIdx); EXPECT_THAT(cacheBlockIds1, ::testing::ElementsAreArray({0, 1, 6})); // store blocks 0, 1 ([0,1,2,3,4,5,6,7], [8,9,10,11,12,13,14,15]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.storeContextBlocks(seq1, *llmRequest1); EXPECT_EQ(cudaDeviceSynchronize(), cudaSuccess); @@ -419,7 +422,9 @@ void runPartialCopyTest() EXPECT_TRUE(block2->isPrimary()); EXPECT_EQ(cudaDeviceSynchronize(), cudaSuccess); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); blockManager.releaseSequence(seq1.getRequestId()); blockManager.releaseSequence(seq2.getRequestId()); @@ -654,6 +659,7 @@ TEST_F(KVCacheManagerTest, FindBlocksInReuseTreeByBlockKeysTest) auto cacheBlockIds = kvCacheManager.getSequence(requestId).getCacheBlockIds(maxAttentionWindow).at(beamIdx); EXPECT_THAT(cacheBlockIds, ::testing::ElementsAreArray({0, 1, 2})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(requestId, llmRequest0); inputTokens->pop_back(); @@ -768,6 +774,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 0, 1, 2 are stored for reuse (blocks contain [0, 1, 2, 3], [4, 5, 6, 7], [8, 9]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -793,6 +800,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // block 3 matches block 2 and will be freed (blocks contain [8, 9]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -834,11 +842,13 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks - 1); // block 2 is stored for reuse (block contains [8]). nb! Last token of last block is never stored + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0_dup, llmRequest0); blockManager.releaseSequence(seq0_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // block 4 is stored for reuse (block contains [8, 9]). nb! Last token of last block is never stored + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1_dup, llmRequest1); blockManager.releaseSequence(seq1_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -892,9 +902,11 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // block 5 is not stored since it is last block and has only one token + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); blockManager.releaseSequence(seq2.getRequestId()); // block 4 is stored for reuse (block contains [8, 9]). nb! Last token of last block not stored + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); blockManager.releaseSequence(seq3.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -928,6 +940,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) // llmRequest4Short tokens [0, 1, 2, 3, 4, 5, 6, 7, 8] // blocks 0 and 1 ([0, 1, 2, 3], [4, 5, 6, 7]) are already stored, // block 4 is freed + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4Short); blockManager.releaseBlocks(seq4, llmRequest4Short); blockManager.releaseSequence(seq4.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -954,6 +967,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4); blockManager.releaseBlocks(seq4_dup, llmRequest4); blockManager.releaseSequence(seq4_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -980,6 +994,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), blocksInPrimaryPool); EXPECT_EQ(blockManager.getNumFreeBlocks(), 0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest5); blockManager.releaseBlocks(seq5, llmRequest5); blockManager.releaseSequence(seq5.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1006,6 +1021,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 1); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - 1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest6); blockManager.releaseBlocks(seq6, llmRequest6); blockManager.releaseSequence(seq6.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1080,6 +1096,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 0, 1, 2 are stored for reuse (block 2 contains [(2, 0), (3, 0)]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1109,6 +1126,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // block 3 matches block 2 and will be freed + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1156,11 +1174,13 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks + 1); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks - 1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0_dup, llmRequest0); blockManager.releaseSequence(seq0_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 2 is stored for reuse (block contains [(2, 0), (3, 0), (4, 0)]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1_dup, llmRequest1); blockManager.releaseSequence(seq1_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1218,7 +1238,9 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks * 2); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks * 2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); blockManager.releaseSequence(seq2.getRequestId()); blockManager.releaseSequence(seq3.getRequestId()); @@ -1303,6 +1325,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithMultimodalHashTest) // Block 0: [100, 101, 102, 103] ← Contains multimodal (102, 103) // Block 1: [104, 105, 0, 1] ← Contains multimodal (104, 105) // Block 2: [2, 3, 4] ← No multimodal + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1331,6 +1354,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithMultimodalHashTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // block 3 matches block 2 and will be freed + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1402,7 +1426,9 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithMultimodalHashTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks * 2); // clean up + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); blockManager.releaseSequence(seq2.getRequestId()); blockManager.releaseSequence(seq3.getRequestId()); @@ -1474,6 +1500,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // store blocks 0, 1, 2 for reuse ([0,1,2,3], [4,5,6,7], [8,9]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1501,6 +1528,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // store block 3 for reuse ([8,9]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1547,11 +1575,13 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks - 1); // store block 4 for reuse ([8]) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0_dup, llmRequest0); blockManager.releaseSequence(seq0_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 2 is stored for reuse (block contains [8, 9]). nb! Last token of last block is not stored + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1_dup, llmRequest1); blockManager.releaseSequence(seq1_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1581,6 +1611,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // store blocks 5, 6, 7 for reuse ([0,1,2,3], [4,5,6,7], [8]) with loraTaskId 1 + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); blockManager.releaseSequence(seq2.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1609,6 +1640,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // store block 7 for reuse ([8,9]) with loraTaskId 1 + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); blockManager.releaseSequence(seq3.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1639,6 +1671,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 8 is stored with [4] and loraTaskId 0 + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4); blockManager.releaseBlocks(seq4, llmRequest4); blockManager.releaseSequence(seq4.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1664,6 +1697,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 9, 10, 11 are stored without loraTaskId + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest5); blockManager.releaseBlocks(seq5, llmRequest5); blockManager.releaseSequence(seq5.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1738,6 +1772,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdAndLoraTaskIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 0, 1, 2 are stored for reuse (block 2 contains [(2, 0), (3, 0)] with loraTaskId 1) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1768,6 +1803,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdAndLoraTaskIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // blocks 3, 4, 5 are stored for reuse (block 5 contains [(2, 0), (3, 0)] with loraTaskId 2) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1815,10 +1851,12 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdAndLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks * 2); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks * 2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0_dup, llmRequest0); blockManager.releaseSequence(seq0_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1_dup, llmRequest1); blockManager.releaseSequence(seq1_dup.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -1901,8 +1939,11 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithExtraIdAndLoraTaskIdTest) EXPECT_EQ(blockManager.getNumAllocatedBlocks(), numBlocks * 3); EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks * 3); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4); blockManager.releaseBlocks(seq4, llmRequest4); blockManager.releaseSequence(seq2.getRequestId()); blockManager.releaseSequence(seq3.getRequestId()); @@ -1985,6 +2026,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithCacheSaltIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // Release blocks to make them available for reuse + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); blockManager.releaseSequence(seq0.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -2019,6 +2061,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithCacheSaltIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // Release blocks + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq1.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -2052,6 +2095,7 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithCacheSaltIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks); // Release blocks + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); blockManager.releaseSequence(seq2.getRequestId()); EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -2114,7 +2158,9 @@ TEST_F(KVCacheManagerTest, BlockManagerReuseWithCacheSaltIdTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), blocksInPrimaryPool - numBlocks * 2); // Clean up + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4); blockManager.releaseBlocks(seq4, llmRequest4); blockManager.releaseSequence(seq3.getRequestId()); blockManager.releaseSequence(seq4.getRequestId()); @@ -2166,6 +2212,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerPerRequestStatsTest) EXPECT_EQ(llmRequest0->getAllocNewBlocksPerRequest(), numBlocks); EXPECT_EQ(llmRequest0->getMissedBlocksPerRequest(), numBlocks); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); EXPECT_NO_THROW((void) kvCacheManager.removeSequence(requestId, llmRequest0)); requestId = 1; @@ -2237,7 +2284,9 @@ TEST_F(KVCacheManagerTest, BlockManagerBlockPriorityTest) blockManager.addSequence(seq1, llmRequest1->getNumTokens(0), numContextBlocks1, *llmRequest1, maxAttentionWindow); // Release both sequences + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); blockManager.releaseBlocks(seq0, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); blockManager.releaseBlocks(seq1, llmRequest1); blockManager.releaseSequence(seq0.getRequestId()); blockManager.releaseSequence(seq1.getRequestId()); @@ -2252,6 +2301,7 @@ TEST_F(KVCacheManagerTest, BlockManagerBlockPriorityTest) auto numContextBlocks2 = tc::ceilDiv(inputLength2, blockManager.getTokensPerBlock()); blockManager.holdSequence(seq2.getRequestId()); blockManager.addSequence(seq2, llmRequest2->getNumTokens(0), numContextBlocks2, *llmRequest2, maxAttentionWindow); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); blockManager.releaseBlocks(seq2, llmRequest2); blockManager.releaseSequence(seq2.getRequestId()); @@ -2266,6 +2316,7 @@ TEST_F(KVCacheManagerTest, BlockManagerBlockPriorityTest) EXPECT_EQ(llmRequest3->getContextCurrentPosition(), 4); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); blockManager.releaseBlocks(seq3, llmRequest3); blockManager.releaseSequence(seq3.getRequestId()); EXPECT_EQ(blockManager.getNumFreeBlocks(), 4); @@ -2363,8 +2414,10 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeBlockPriorityTest) // remove both sequences, blocks get stored // leaf block 3 (priority 90), context blocks 2, 1, 0 (priority 5) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); // leaf block 7 (priority 5), context blocks 6, 5, 4 (priority 90) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); // all blocks are available again. @@ -2380,6 +2433,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeBlockPriorityTest) auto llmRequest2 = std::make_shared(2, maxNewTokens, inputTokens2, samplingConfig, isStreaming); kvCacheManager.addSequence(2, inputLength2, beamWidth, llmRequest2); // leaf block 2 (priority 35), context blocks 3, 7 (priority 35) + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); // Uses 3 blocks 0, 1, 2 which contain [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11] @@ -2431,6 +2485,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerTimedEvictionTest) llmRequest0->setKvCacheRetentionConfig( KvCacheRetentionConfig({KvCacheRetentionConfig::TokenRangeRetentionConfig(0, std::nullopt, 80, 10ms)}, 80)); kvCacheManager.addSequence(0, inputLength0, beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); auto inputTokens1 = std::make_shared(VecTokens{12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23}); @@ -2439,6 +2494,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerTimedEvictionTest) llmRequest1->setKvCacheRetentionConfig( KvCacheRetentionConfig({KvCacheRetentionConfig::TokenRangeRetentionConfig(0, std::nullopt, 50)}, 80)); kvCacheManager.addSequence(1, inputLength1, beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); std::this_thread::sleep_for(std::chrono::milliseconds(50)); @@ -2451,6 +2507,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerTimedEvictionTest) auto const inputLength2 = static_cast(inputTokens2->size()); auto llmRequest2 = std::make_shared(2, maxNewTokens, inputTokens2, samplingConfig, isStreaming); kvCacheManager.addSequence(2, inputLength2, beamWidth, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); // Check that the [12, 13, 14, 15] block is still in the cache @@ -2503,6 +2560,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeTimedEvictionTest) KvCacheRetentionConfig({KvCacheRetentionConfig::TokenRangeRetentionConfig(0, std::nullopt, 50)}, 50)); // Set all blocks to priority 50. kvCacheManager.addSequence(0, inputLength0, beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); // Occupy a new block, block 3, adding 3 tokens to block 3. // [1, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [0, 0, 0] @@ -2511,6 +2569,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeTimedEvictionTest) kvCacheManager.addToken(0); llmRequest0->addNewToken(0, 0); } + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); } { @@ -2522,6 +2581,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeTimedEvictionTest) llmRequest1->setKvCacheRetentionConfig(KvCacheRetentionConfig( {}, KvCacheRetentionConfig::kMaxRetentionPriority, 20ms)); // Set decode blocks to max priority for 20ms. kvCacheManager.addSequence(1, inputLength1, beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); kvCacheManager.storeContextBlocks(*llmRequest1); // Occupy a new block, block 3, adding 3 tokens to block 3. // [1, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [0, 0, 0] @@ -2530,6 +2590,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeTimedEvictionTest) kvCacheManager.addToken(1); llmRequest1->addNewToken(0, 0); } + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); } @@ -2541,6 +2602,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerDecodeTimedEvictionTest) auto const inputLength2 = static_cast(inputTokens2->size()); auto llmRequest2 = std::make_shared(2, maxNewTokens, inputTokens2, samplingConfig, isStreaming); kvCacheManager.addSequence(2, inputLength2, beamWidth, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); // 12 tokens, reusing block 4, 5. Block 6 is overwritten so no reuse. @@ -2588,6 +2650,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerSecondaryBlockPrimaryChildTest) // 12 tokens, get block 0, 1, 2 // [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11] kvCacheManager.addSequence(0, inputLength0, beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); // store blocks 0, 1, 2 for reuse ([0,1,2,3], [4,5,6,7], [8,9,10]) @@ -2600,6 +2663,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerSecondaryBlockPrimaryChildTest) // Block 4 is now in primary (replacing 2) // Block 5 is now in primary (replacing 1) kvCacheManager.addSequence(1, inputLength1, beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); // store blocks 3, 4, 5 for reuse ([1,1,2,3], [4,5,6,7], [8,9,10]) @@ -2635,6 +2699,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerSecondaryBlockPrimaryChildTest) // If we do this, then the context current position at the bottom of this // unit test will be 9 because then the block content [4,5,6,7] can be // found and reused. + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); // 10 tokens, reusing the block 0 only because when we want to acquire @@ -2678,12 +2743,14 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockTest) auto const inputLength0 = static_cast(inputTokens0->size()); auto llmRequest0 = std::make_shared(0, maxNewTokens, inputTokens0, samplingConfig, isStreaming); kvCacheManager.addSequence(0, inputLength0, beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); llmRequest0->addNewToken(0, 0); kvCacheManager.addToken(0); // The second block allocated should be first in line for eviction. + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); auto inputTokens1 = std::make_shared(VecTokens{1, 1, 2, 3}); @@ -2702,7 +2769,9 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockTest) auto llmRequest2 = std::make_shared(2, maxNewTokens, inputTokens2, samplingConfig, isStreaming); kvCacheManager.addSequence(2, inputLength2, beamWidth, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); auto inputTokens3 = std::make_shared(VecTokens{2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}); @@ -2761,6 +2830,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockWithDependentTest) auto llmRequest0 = std::make_shared(requestId0, maxNewTokens, inputTokens0, samplingConfig, isStreaming); kvCacheManager.addSequence(requestId0, inputLength0, beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); GenerationRequest const& seq0 = kvCacheManager.getSequence(requestId0); @@ -2788,6 +2858,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockWithDependentTest) auto llmRequest1 = std::make_shared(requestId1, maxNewTokens, inputTokens1, samplingConfig, isStreaming); kvCacheManager.addSequence(requestId1, inputLength1, beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); kvCacheManager.storeContextBlocks(*llmRequest1); GenerationRequest const& seq1 = kvCacheManager.getSequence(requestId1); @@ -2795,6 +2866,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockWithDependentTest) EXPECT_EQ(blockManager.getNumFreeBlocks(), 0); // Free first sequence + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(requestId0, llmRequest0); // Verify that 3 primary blocks are free. @@ -2835,6 +2907,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerLeafBlockWithDependentTest) EXPECT_FALSE(block0->isPrimary()); // Cleanup + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(requestId1, llmRequest1); } @@ -3363,6 +3436,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerMaxAttentionWindowSmallerThanBlockSizeT EXPECT_EQ(numBlocks, 3); EXPECT_THAT(seq0.getCacheBlockIds(onlyWindowSize).at(beamIdx), ::testing::ElementsAreArray({0, 1, 2})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW((void) kvCacheManager.removeSequence(requestId, llmRequest)); // no blocks stored because reuse is disabled EXPECT_EQ(blockManager.getNumAllocatedBlocks(), 0); @@ -3411,6 +3485,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStream) auto llmRequest0 = std::make_shared(0, 0, inputTokens0, samplingConfig, true); llmRequest0->setLoraTaskId(42); kvCacheManager.addSequence(0, inputTokens0->size(), beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); events = getEvents(kvCacheManager); @@ -3423,6 +3498,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStream) EXPECT_EQ(std::get(events.front().data).blocks[0].cacheLevel, 0); kvCacheManager.addToken(0); llmRequest0->addNewToken(0, 0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); auto newEvents = getEvents(kvCacheManager); @@ -3440,7 +3516,9 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStream) auto llmRequest1 = std::make_shared(1, 0, inputTokens1, samplingConfig, true); llmRequest1->setLoraTaskId(42); kvCacheManager.addSequence(1, inputTokens1->size(), beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); kvCacheManager.storeContextBlocks(*llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); events = getEvents(kvCacheManager); @@ -3471,7 +3549,9 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStream) EXPECT_THAT(std::get(events.front().data).blockHashes, ::testing::ElementsAreArray({firstSwapped})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest2); (void) kvCacheManager.removeSequence(2, llmRequest2); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest3); (void) kvCacheManager.removeSequence(3, llmRequest3); events = getEvents(kvCacheManager); @@ -3526,6 +3606,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStream) EXPECT_EQ(offloadedBlocks, 2); EXPECT_EQ(removedBlocks, 1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest4); kvCacheManager.storeContextBlocks(*llmRequest4); events = getEvents(kvCacheManager); @@ -3601,6 +3682,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerMaxAttentionWindowWithReuseTest) auto numAllocatedPrimaryBlocks = blockManager.getNumAllocatedBlocks() - blocksInSecondaryPool; EXPECT_THAT(seq0.getCacheBlockIds(onlyWindowSize).at(beamIdx), ::testing::ElementsAreArray({0, 1, 2, 3, 4})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); numAllocatedPrimaryBlocks = blockManager.getNumAllocatedBlocks() - blocksInSecondaryPool; EXPECT_EQ(numAllocatedPrimaryBlocks, 0); @@ -3627,6 +3709,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerMaxAttentionWindowWithReuseTest) kvCacheManager.addToken(requestId); numTokens = llmRequest->getNumTokens(beamIdx); EXPECT_THAT(seq1.getCacheBlockIds(onlyWindowSize).at(beamIdx), ::testing::ElementsAreArray({0, 5, 6})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); /////////////////////////////////////////////////////////////////////////// @@ -3641,6 +3724,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerMaxAttentionWindowWithReuseTest) GenerationRequest const& seq2 = kvCacheManager.getSequence(requestId); EXPECT_EQ(llmRequest->getContextCurrentPosition(), 9); EXPECT_THAT(seq2.getCacheBlockIds(onlyWindowSize).at(beamIdx), ::testing::ElementsAreArray({0, 1, 7})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); /////////////////////////////////////////////////////////////////////////// @@ -3663,6 +3747,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerMaxAttentionWindowWithReuseTest) llmRequest->addNewToken(1016, beamIdx); kvCacheManager.addToken(requestId); EXPECT_THAT(seq3.getCacheBlockIds(onlyWindowSize).at(beamIdx), ::testing::ElementsAreArray({0, 1, 2, 8, 9})); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); } @@ -3741,7 +3826,9 @@ TEST_F(KVCacheManagerTest, KVCacheManagerSWAInvalidateReuseTest) EXPECT_FALSE(blockManager.isSequenceValidForStoreForReuse(seq0.getRequestId(), onlyWindowSize)); EXPECT_TRUE(blockManager.isSequenceValidForStoreForReuse(seq1.getRequestId(), onlyWindowSize)); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(seq0.getRequestId(), llmRequest0))); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(seq1.getRequestId(), llmRequest1))); } @@ -3832,6 +3919,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerVariableWindowAttentionWithReuseTest) assertBlocks(seq0, {0, 1, 2}, {0, 1, 2}); auto numAllocatedPrimaryBlocks = blockManager.getNumAllocatedBlocks() - blocksInSecondaryPoolPerWindow * numWindows; + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); numAllocatedPrimaryBlocks = blockManager.getNumAllocatedBlocks() - blocksInSecondaryPoolPerWindow * numWindows; EXPECT_EQ(numAllocatedPrimaryBlocks, 0); @@ -3858,6 +3946,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerVariableWindowAttentionWithReuseTest) llmRequest->addNewToken(1009, beamIdx); kvCacheManager.addToken(requestId); assertBlocks(seq1, {0, 3, 4}, {0, 3, 4}); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); EXPECT_NO_THROW(static_cast(kvCacheManager.removeSequence(requestId, llmRequest))); } @@ -3895,6 +3984,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamOverflow) auto llmRequest0 = std::make_shared(0, 0, inputTokens0, samplingConfig, true); llmRequest0->setLoraTaskId(42); kvCacheManager.addSequence(0, inputTokens0->size(), beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); auto events = getEvents(kvCacheManager); @@ -3910,6 +4000,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamOverflow) events = getEvents(kvCacheManager); EXPECT_EQ(events.size(), 0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); events = getEvents(kvCacheManager); @@ -3955,6 +4046,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamPriority) llmRequest0->setKvCacheRetentionConfig(tle::KvCacheRetentionConfig( std::vector{tle::KvCacheRetentionConfig::TokenRangeRetentionConfig(0, std::nullopt, 50)}, 35)); kvCacheManager.addSequence(0, inputTokens0->size(), beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); (void) kvCacheManager.removeSequence(0, llmRequest0); auto events = getEvents(kvCacheManager); @@ -3971,7 +4063,9 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamPriority) auto inputTokens1 = std::make_shared(VecTokens{0, 1, 2, 3, 4, 5, 6, 7}); auto llmRequest1 = std::make_shared(1, 0, inputTokens1, samplingConfig, true); kvCacheManager.addSequence(1, inputTokens1->size(), beamWidth, llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); kvCacheManager.storeContextBlocks(*llmRequest1); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest1); (void) kvCacheManager.removeSequence(1, llmRequest1); events = getEvents(kvCacheManager); @@ -4068,6 +4162,7 @@ TEST_F(KVCacheManagerTest, PinAndUnpinBlocksById) ASSERT_TRUE(lastBlockIdOpt.has_value()); auto const& allBlockIds = kvCacheManager.getCacheBlockIds(requestId, maxAttentionWindow)[0]; std::vector pinnedBlockIds(allBlockIds.begin(), allBlockIds.end()); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest); (void) kvCacheManager.removeSequence(requestId, llmRequest); auto const freeAfterRemovePinned = kvCacheManager.getNumFreeBlocks(); EXPECT_LT(freeAfterRemovePinned, totalBlocks); @@ -4121,6 +4216,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamBlocking) auto inputTokens0 = std::make_shared(VecTokens{0, 1, 2, 3, 4, 5, 6, 7}); auto llmRequest0 = std::make_shared(0, 0, inputTokens0, samplingConfig, true); kvCacheManager.addSequence(0, inputTokens0->size(), beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); kvCacheManager.flushIterationEvents(); @@ -4176,6 +4272,7 @@ TEST_F(KVCacheManagerTest, KVCacheManagerEventStreamWindowSize) auto inputTokens0 = std::make_shared(VecTokens{0, 1, 2, 3, 4, 5, 6, 7}); auto llmRequest0 = std::make_shared(0, 0, inputTokens0, samplingConfig, true); kvCacheManager.addSequence(0, inputTokens0->size(), beamWidth, llmRequest0); + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*llmRequest0); kvCacheManager.storeContextBlocks(*llmRequest0); events = getEvents(kvCacheManager); @@ -4963,6 +5060,7 @@ TEST_P(FillKvCacheAndCompleteRequestsTest, FillKvCacheWithRequestsAndCompleteOne llmRequest.addNewToken(0, 0); kvCacheManager->addToken(llmRequest.mRequestId); } + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(llmRequest); (void) kvCacheManager->removeSequence(llmRequest.mRequestId, llmRequest); } auto const [expectedNumFreeBlocks, _] = params.kvCacheManagerInstantiationParameters.blocksPerWindow.at( @@ -5348,6 +5446,93 @@ TEST_P(NeededBlocksOneStepTest, NeededBlocksOneStepTestCorrectlyEstimated) } } +TEST_F(KVCacheManagerTest, KVCacheManagerStoreContextBlocksUsesMaterializedContextExtent) +{ + auto constexpr numLayers = 12; + auto constexpr numHeads = 6; + auto constexpr sizePerHead = 16; + auto constexpr tokensPerBlock = 4; + auto constexpr maxBlocksPerSeq = 4; + auto constexpr maxNumSequences = 8; + auto constexpr blocksInPrimaryPool = 8; + auto constexpr blocksInSecondaryPool = 0; + auto constexpr onboardBlocks = true; + auto const stream = std::make_shared(); + + auto constexpr beamWidth = 1; + auto constexpr kMaterializedContextLength = 5; + auto constexpr kReusableContextLength = 4; + SizeType32 constexpr maxNewTokens = 8; + tr::SamplingConfig const samplingConfig{beamWidth}; + bool constexpr isStreaming{false}; + + auto const maxAttentionWindow = tokensPerBlock * maxBlocksPerSeq; + auto const blocksPerWindow = BlocksPerWindow{{maxAttentionWindow, {blocksInPrimaryPool, blocksInSecondaryPool}}}; + + KVCacheManager kvCacheManager(numLayers, numHeads, sizePerHead, tokensPerBlock, blocksPerWindow, maxNumSequences, + beamWidth, std::vector{maxAttentionWindow}, std::nullopt, nvinfer1::DataType::kHALF, + false, stream, maxAttentionWindow, true, onboardBlocks); + kvCacheManager.allocatePools(false); + + auto inputTokens = std::make_shared(VecTokens{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}); + auto const inputLength = static_cast(inputTokens->size()); + + auto llmRequest0 = std::make_shared(0, maxNewTokens, inputTokens, samplingConfig, isStreaming); + kvCacheManager.addSequence(0, inputLength, beamWidth, llmRequest0); + llmRequest0->setContextCurrentPosition(kMaterializedContextLength); + + kvCacheManager.storeContextBlocks(*llmRequest0); + (void) kvCacheManager.removeSequence(0, std::nullopt); + + auto llmRequest1 = std::make_shared(1, maxNewTokens, inputTokens, samplingConfig, isStreaming); + kvCacheManager.addSequence(1, inputLength, beamWidth, llmRequest1); + + EXPECT_EQ(llmRequest1->getContextCurrentPosition(), kReusableContextLength); +} + +TEST_F(KVCacheManagerTest, KVCacheManagerReleaseBlocksUsesMaterializedContextExtent) +{ + auto constexpr numLayers = 12; + auto constexpr numHeads = 6; + auto constexpr sizePerHead = 16; + auto constexpr tokensPerBlock = 4; + auto constexpr maxBlocksPerSeq = 4; + auto constexpr maxNumSequences = 8; + auto constexpr blocksInPrimaryPool = 8; + auto constexpr blocksInSecondaryPool = 0; + auto constexpr onboardBlocks = true; + auto const stream = std::make_shared(); + + auto constexpr beamWidth = 1; + auto constexpr kMaterializedContextLength = 5; + auto constexpr kReusableContextLength = 4; + SizeType32 constexpr maxNewTokens = 8; + tr::SamplingConfig const samplingConfig{beamWidth}; + bool constexpr isStreaming{false}; + + auto const maxAttentionWindow = tokensPerBlock * maxBlocksPerSeq; + auto const blocksPerWindow = BlocksPerWindow{{maxAttentionWindow, {blocksInPrimaryPool, blocksInSecondaryPool}}}; + + KVCacheManager kvCacheManager(numLayers, numHeads, sizePerHead, tokensPerBlock, blocksPerWindow, maxNumSequences, + beamWidth, std::vector{maxAttentionWindow}, std::nullopt, nvinfer1::DataType::kHALF, + false, stream, maxAttentionWindow, true, onboardBlocks); + kvCacheManager.allocatePools(false); + + auto inputTokens = std::make_shared(VecTokens{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11}); + auto const inputLength = static_cast(inputTokens->size()); + + auto llmRequest0 = std::make_shared(0, maxNewTokens, inputTokens, samplingConfig, isStreaming); + kvCacheManager.addSequence(0, inputLength, beamWidth, llmRequest0); + llmRequest0->setContextCurrentPosition(kMaterializedContextLength); + + (void) kvCacheManager.removeSequence(0, llmRequest0); + + auto llmRequest1 = std::make_shared(1, maxNewTokens, inputTokens, samplingConfig, isStreaming); + kvCacheManager.addSequence(1, inputLength, beamWidth, llmRequest1); + + EXPECT_EQ(llmRequest1->getContextCurrentPosition(), kReusableContextLength); +} + INSTANTIATE_TEST_SUITE_P(NeededBlocksOneStepTestCorrectlyEstimated, NeededBlocksOneStepTest, ::testing::Values( GetNeededBlocksOneStepOneRequestParameters{ diff --git a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp index 0557bcfa6ef0..e1d31f0ee834 100644 --- a/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp +++ b/cpp/tests/unit_tests/multi_gpu/cacheTransceiverTest.cpp @@ -1,5 +1,5 @@ /* - * SPDX-FileCopyrightText: Copyright (c) 2023-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + * SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: Apache-2.0 * * Licensed under the Apache License, Version 2.0 (the "License"); @@ -41,6 +41,7 @@ #include "tensorrt_llm/executor/executor.h" #include "tensorrt_llm/runtime/common.h" #include "tensorrt_llm/runtime/utils/mpiUtils.h" +#include "tensorrt_llm/testing/kvCacheManagerTestUtil.h" #include #include #include @@ -406,6 +407,7 @@ TEST_F(SymmetricalCacheTest, SimpleTest) mFutures.clear(); for (auto& request : requests) { + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*request); mManager->removeSequence(request->mRequestId, request); } requests.clear(); @@ -1378,6 +1380,7 @@ TEST_P(AsymmetricalCacheTest, TestCase) } for (auto&& request : requests) { + tensorrt_llm::testing::KvCacheManagerTestUtil::simulatePrefillCompletion(*request->mLlmRequest); mManager->removeSequence(request->mLlmRequest->mRequestId, request->mLlmRequest); } requests.clear(); diff --git a/security_scanning/pyproject.toml b/security_scanning/pyproject.toml index c9a687b5089e..fbb82fa11b88 100644 --- a/security_scanning/pyproject.toml +++ b/security_scanning/pyproject.toml @@ -54,7 +54,7 @@ dependencies = [ "peft (>=0.18.1,<0.19.0)", "patchelf (>=0.17.2.4,<0.18.0.0)", "einops (>=0.8.2,<0.9.0)", - "flashinfer-python (>=0.6.1,<0.7.0)", + "flashinfer-python (==0.6.4)", "xgrammar (==0.1.32)", "llguidance (==0.7.29)", "jsonschema (>=4.26.0,<5.0.0)", diff --git a/tests/unittest/_torch/executor/test_resource_manager.py b/tests/unittest/_torch/executor/test_resource_manager.py index 273abca39e22..92504469408b 100644 --- a/tests/unittest/_torch/executor/test_resource_manager.py +++ b/tests/unittest/_torch/executor/test_resource_manager.py @@ -19,6 +19,8 @@ from tensorrt_llm.bindings import executor as tllm from tensorrt_llm.bindings.internal.batch_manager import \ PeftTaskNotCachedException +from tensorrt_llm.bindings.internal.testing import \ + simulate_prefill_completion_only_use_for_testing from tensorrt_llm.llmapi.llm_args import KvCacheConfig, PeftCacheConfig from tensorrt_llm.lora_helper import LoraConfig from tensorrt_llm.mapping import Mapping @@ -756,6 +758,7 @@ def test_kv_cache_reset_reuse_state(self): stats_initial = kv_cache_manager.get_kv_cache_stats() initial_reused_blocks = stats_initial.reused_blocks + simulate_prefill_completion_only_use_for_testing(req1) kv_cache_manager.free_resources(req1) # Second request with same tokens - should reuse blocks from the reuse tree @@ -770,6 +773,7 @@ def test_kv_cache_reset_reuse_state(self): f"reused_blocks before: {initial_reused_blocks}, after: {stats_after_reuse.reused_blocks}" ) + simulate_prefill_completion_only_use_for_testing(req2) kv_cache_manager.free_resources(req2) # Reset reuse state @@ -788,6 +792,7 @@ def test_kv_cache_reset_reuse_state(self): f"Third request should NOT reuse blocks after reset. " f"reused_blocks after reset: {reused_blocks_after_reset}, after third request: {stats_after_third.reused_blocks}" ) + simulate_prefill_completion_only_use_for_testing(req3) kv_cache_manager.free_resources(req3) def test_kv_cache_manager_with_execution_stream(self): diff --git a/tests/unittest/llmapi/test_llm_kv_cache_events.py b/tests/unittest/llmapi/test_llm_kv_cache_events.py index ee5da20c437d..01f11d2ed024 100644 --- a/tests/unittest/llmapi/test_llm_kv_cache_events.py +++ b/tests/unittest/llmapi/test_llm_kv_cache_events.py @@ -9,6 +9,8 @@ from tensorrt_llm._torch.pyexecutor.llm_request import LlmRequest from tensorrt_llm._torch.pyexecutor.resource_manager import KVCacheManager from tensorrt_llm._utils import KVCacheEventSerializer +from tensorrt_llm.bindings.internal.testing import \ + simulate_prefill_completion_only_use_for_testing from tensorrt_llm.llmapi import KvCacheConfig from tensorrt_llm.mapping import Mapping from tensorrt_llm.sampling_params import SamplingParams @@ -83,6 +85,7 @@ def test_kv_cache_event_data_serialization(): req = create_llm_request(0, [1, 2, 3, 4, 5]) kv_cache_manager.impl.add_sequence(req.py_request_id, req.prompt_len, 1, req) + simulate_prefill_completion_only_use_for_testing(req) kv_cache_manager.free_resources(req) flush_events(kv_cache_manager) @@ -100,6 +103,7 @@ def test_kv_cache_event_data_serialization(): req2 = create_llm_request(1, [1, 2, 3, 4, 5]) kv_cache_manager.impl.add_sequence(req2.py_request_id, req2.prompt_len, 1, req2) + simulate_prefill_completion_only_use_for_testing(req2) kv_cache_manager.free_resources(req2) flush_events(kv_cache_manager) From 220cdd7d934f68859b583211c103a1847ef39af4 Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Sun, 12 Apr 2026 12:33:53 -0700 Subject: [PATCH 237/241] [None][infra] More vulnerability fix for release/1.2.1 (#12904) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- constraints.txt | 4 ++++ docker/Dockerfile.multi | 3 ++- jenkins/current_image_tags.properties | 8 ++++---- 3 files changed, 10 insertions(+), 5 deletions(-) diff --git a/constraints.txt b/constraints.txt index 25ae35bdecfc..17a66eff2535 100644 --- a/constraints.txt +++ b/constraints.txt @@ -8,3 +8,7 @@ wheel>=0.46.2 protobuf>=6.33.5 # WAR against https://github.com/advisories/GHSA-6mq8-rvhq-8wgg aiohttp>=3.13.3 +# WAR against https://github.com/advisories/GHSA-qjxf-f2mg-c6mc +tornado>=6.5.5 +# WAR against https://github.com/advisories/GHSA-3936-cmfr-pm3m +black>=26.3.1 diff --git a/docker/Dockerfile.multi b/docker/Dockerfile.multi index f5d7915b02e1..c2a2b8513389 100644 --- a/docker/Dockerfile.multi +++ b/docker/Dockerfile.multi @@ -76,7 +76,8 @@ COPY constraints.txt /tmp/constraints.txt RUN pip3 install --no-cache-dir -r /tmp/constraints.txt && rm /tmp/constraints.txt # Remove nbconvert to avoid https://github.com/advisories/GHSA-xm59-rqc7-hhvf in the base NGC PyTorch image. -RUN pip3 uninstall -y nbconvert || true +# Remove pillow to avoid https://github.com/advisories/GHSA-cfh3-3jmp-rvhc in the base NGC PyTorch image. +RUN pip3 uninstall -y nbconvert pillow || true # Install UCX, NIXL, etcd # TODO: Combine these into the main install.sh script diff --git a/jenkins/current_image_tags.properties b/jenkins/current_image_tags.properties index 84de899d3fcb..418133db4f49 100644 --- a/jenkins/current_image_tags.properties +++ b/jenkins/current_image_tags.properties @@ -13,7 +13,7 @@ # images are adopted from PostMerge pipelines, the abbreviated commit hash is used instead. IMAGE_NAME=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm -LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604090131-12894 -LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-sbsa-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604090131-12894 -LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202604090131-12894 -LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202604090131-12894 +LLM_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-x86_64-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604101938-12939 +LLM_SBSA_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:pytorch-25.12-py3-sbsa-ubuntu24.04-trt10.14.1.48-skip-tritondevel-202604101938-12939 +LLM_ROCKYLINUX8_PY310_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py310-trt10.14.1.48-skip-tritondevel-202604101938-12939 +LLM_ROCKYLINUX8_PY312_DOCKER_IMAGE=urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm:cuda-13.1.0-devel-rocky8-x86_64-rocky8-py312-trt10.14.1.48-skip-tritondevel-202604101938-12939 From d05d608e60b79c41fcb354be5435ced748b27265 Mon Sep 17 00:00:00 2001 From: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> Date: Mon, 13 Apr 2026 21:18:55 +0000 Subject: [PATCH 238/241] [None][infra] Check in most recent lock file from nightly pipeline Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com> --- .../cpp/kernels/fmha_v2/poetry.lock | 2 +- security_scanning/docs/poetry.lock | 275 ++- security_scanning/examples/apps/poetry.lock | 472 ++--- .../examples/auto_deploy/poetry.lock | 557 +++-- .../examples/draft_target_model/poetry.lock | 265 +-- security_scanning/examples/eagle/poetry.lock | 322 +-- .../examples/eagle/pyproject.toml | 1 + .../llm-eval/lm-eval-harness/poetry.lock | 550 +++-- .../examples/longbench/poetry.lock | 2 +- .../examples/lookahead/poetry.lock | 265 +-- security_scanning/examples/medusa/poetry.lock | 265 +-- .../models/contrib/baichuan/poetry.lock | 264 +-- .../examples/models/contrib/bloom/poetry.lock | 258 +-- .../models/contrib/chatglm-6b/poetry.lock | 258 +-- .../models/contrib/chatglm2-6b/poetry.lock | 258 +-- .../contrib/chatglm3-6b-32k/poetry.lock | 258 +-- .../examples/models/contrib/dbrx/poetry.lock | 258 +-- .../models/contrib/deepseek_v1/poetry.lock | 258 +-- .../models/contrib/deepseek_v2/poetry.lock | 258 +-- .../models/contrib/falcon/poetry.lock | 264 +-- .../examples/models/contrib/gptj/poetry.lock | 258 +-- .../models/contrib/gptneox/poetry.lock | 258 +-- .../examples/models/contrib/grok/poetry.lock | 276 +-- .../models/contrib/hyperclovax/poetry.lock | 26 +- .../models/contrib/internlm/poetry.lock | 258 +-- .../examples/models/contrib/jais/poetry.lock | 258 +-- .../examples/models/contrib/mmdit/poetry.lock | 258 +-- .../examples/models/contrib/mpt/poetry.lock | 258 +-- .../examples/models/contrib/opt/poetry.lock | 258 +-- .../models/contrib/skywork/poetry.lock | 258 +-- .../examples/models/contrib/smaug/poetry.lock | 258 +-- .../examples/models/contrib/stdit/poetry.lock | 374 ++-- .../models/contrib/stdit/pyproject.toml | 2 +- .../examples/models/core/commandr/poetry.lock | 258 +-- .../examples/models/core/gemma/poetry.lock | 299 +-- .../examples/models/core/glm-4-9b/poetry.lock | 265 +-- .../examples/models/core/gpt/poetry.lock | 265 +-- .../models/core/internlm2/poetry.lock | 2 +- .../examples/models/core/llama/poetry.lock | 264 +-- .../examples/models/core/mamba/poetry.lock | 264 +-- .../examples/models/core/mixtral/poetry.lock | 236 +-- .../examples/models/core/mllama/poetry.lock | 495 +++-- .../examples/models/core/nemotron/poetry.lock | 258 +-- .../examples/models/core/phi/poetry.lock | 258 +-- .../examples/models/core/qwen/poetry.lock | 786 ++++---- .../examples/models/core/qwen/pyproject.toml | 2 +- .../models/core/qwen2audio/poetry.lock | 264 +-- .../examples/models/core/qwenvl/poetry.lock | 268 +-- .../models/core/recurrentgemma/poetry.lock | 278 +-- .../examples/models/core/whisper/poetry.lock | 289 +-- .../models/core/whisper/pyproject.toml | 2 +- security_scanning/examples/ngram/poetry.lock | 322 +-- .../examples/ngram/pyproject.toml | 1 + .../examples/quantization/poetry.lock | 271 +-- .../examples/ray_orchestrator/poetry.lock | 446 ++-- .../examples/redrafter/poetry.lock | 265 +-- .../scaffolding/contrib/Dynasor/poetry.lock | 2 +- security_scanning/examples/serve/poetry.lock | 1795 ++++++++++++---- .../examples/serve/pyproject.toml | 2 +- .../examples/trtllm-eval/poetry.lock | 557 +++-- security_scanning/metadata.json | 4 +- security_scanning/poetry.lock | 1364 ++++++------- security_scanning/pyproject.toml | 16 +- .../tests/integration/defs/perf/poetry.lock | 2 +- security_scanning/triton_backend/poetry.lock | 1796 ++--------------- .../triton_backend/pyproject.toml | 3 +- 66 files changed, 9675 insertions(+), 10234 deletions(-) diff --git a/security_scanning/cpp/kernels/fmha_v2/poetry.lock b/security_scanning/cpp/kernels/fmha_v2/poetry.lock index 9c7862363102..0321db5bb6ce 100644 --- a/security_scanning/cpp/kernels/fmha_v2/poetry.lock +++ b/security_scanning/cpp/kernels/fmha_v2/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand. [[package]] name = "attrs" diff --git a/security_scanning/docs/poetry.lock b/security_scanning/docs/poetry.lock index a7c5d43dd4ac..d7f3998cde1b 100644 --- a/security_scanning/docs/poetry.lock +++ b/security_scanning/docs/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.3.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand. [[package]] name = "accessible-pygments" @@ -278,14 +278,14 @@ files = [ [[package]] name = "click" -version = "8.3.1" +version = "8.3.2" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" groups = ["main"] files = [ - {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"}, - {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"}, + {file = "click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d"}, + {file = "click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5"}, ] [package.dependencies] @@ -489,19 +489,19 @@ files = [ [[package]] name = "pydantic" -version = "2.12.5" +version = "2.13.0" description = "Data validation using Python type hints" optional = false python-versions = ">=3.9" groups = ["main"] files = 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-[package.extras] -docs = ["Sphinx", "furo", "repoze.sphinx.autointerface"] -test = ["coverage[toml]", "zope.event", "zope.testing"] -testing = ["coverage[toml]", "zope.event", "zope.testing"] - [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "5b0104e09cb975f2075545d3ca7f8c268fa0b571cdd2425371b5db338281bd04" +content-hash = "b2de2e9f38fdf21154596290cfc48f0dc987ac02a9ad333453e4e7d24d353af9" diff --git a/security_scanning/triton_backend/pyproject.toml b/security_scanning/triton_backend/pyproject.toml index dda2ff3d9ed1..5af383cb47bc 100644 --- a/security_scanning/triton_backend/pyproject.toml +++ b/security_scanning/triton_backend/pyproject.toml @@ -7,9 +7,8 @@ authors = [ ] requires-python = ">=3.10,<3.13" dependencies = [ - "regex (>=2026.3.32,<2027.0.0)", + "regex (>=2026.4.4,<2027.0.0)", "fire (>=0.7.1,<0.8.0)", - "tritonclient[all] (>=2.67.0,<3.0.0)", "transformers (==4.57.3)", "tabulate (>=0.10.0,<0.11.0)", "torchao (>=0.14.1)" From 7d44e91fd630e4783c3aec5ae970578d129d4275 Mon Sep 17 00:00:00 2001 From: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com> Date: Wed, 15 Apr 2026 20:30:46 +0800 Subject: [PATCH 239/241] [https://nvbugs/6071380][fix] Update the invalid dynamo urls in doc. (#13037) Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com> --- .../tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md | 2 +- docs/source/features/disagg-serving.md | 2 +- triton_backend/all_models/multimodal/Deprecation_notice.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md b/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md index ccee8b8585c9..1ed93734a41f 100644 --- a/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md +++ b/docs/source/blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.md @@ -124,7 +124,7 @@ In the Dynamo workflow, requests are initially processed by pre- and post-proces Dynamo also includes built-in support for Kubernetes deployment, monitoring, and metrics collection. The development team is actively working on enabling dynamic instance scaling, further enhancing its suitability for production environments. -For more information on how to use Dynamo with TensorRT LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm). +For more information on how to use Dynamo with TensorRT LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/backends/tensor-rt-llm). ### Triton Inference Server diff --git a/docs/source/features/disagg-serving.md b/docs/source/features/disagg-serving.md index 2c2fe39995bd..ac8367acc127 100644 --- a/docs/source/features/disagg-serving.md +++ b/docs/source/features/disagg-serving.md @@ -107,7 +107,7 @@ In the Dynamo workflow, requests are initially processed by pre- and post-proces Dynamo also includes built-in support for Kubernetes deployment, monitoring, and metrics collection. The development team is actively working on enabling dynamic instance scaling, further enhancing its suitability for production environments. -For more information on how to use Dynamo with TensorRT-LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm). +For more information on how to use Dynamo with TensorRT-LLM, please refer to [this documentation](https://docs.dynamo.nvidia.com/dynamo/backends/tensor-rt-llm). ### trtllm-serve diff --git a/triton_backend/all_models/multimodal/Deprecation_notice.md b/triton_backend/all_models/multimodal/Deprecation_notice.md index d8d891b066f8..15fe93a413c9 100644 --- a/triton_backend/all_models/multimodal/Deprecation_notice.md +++ b/triton_backend/all_models/multimodal/Deprecation_notice.md @@ -2,6 +2,6 @@ Trition backend with multimodal is deprecated and is no longer maintained. **End of Life:** TensorRT-LLM-V1.2 \ -**Reason:** Retiring support for older multimodal models and migrating to [Dynamo + PyTorch backend](https://docs.dynamo.nvidia.com/dynamo/components/backends/tensor-rt-llm#multimodal-support) for newer ones. \ +**Reason:** Retiring support for older multimodal models and migrating to [Dynamo + PyTorch backend](https://docs.dynamo.nvidia.com/dynamo/latest/backends/tensor-rt-llm/reference-guide#multimodal-support) for newer ones. \ **Action:** Please use `PyTorch LLM backend` instead. \ Check here for the [Supporting Matrix](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/models/supported-models.md#multimodal-feature-support-matrix-pytorch-backend). From 376f7e1bd8ed543f75014309e3fd4b237e9b0e73 Mon Sep 17 00:00:00 2001 From: yuanjingx87 <197832395+yuanjingx87@users.noreply.github.com> Date: Thu, 16 Apr 2026 08:13:33 -0700 Subject: [PATCH 240/241] [None][infra] Regenerate lock file to fix pygments vulnerability (#13048) Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com> --- .../integration/defs/perf/disagg/poetry.lock | 528 ++++++++++-------- 1 file changed, 283 insertions(+), 245 deletions(-) diff --git a/tests/integration/defs/perf/disagg/poetry.lock b/tests/integration/defs/perf/disagg/poetry.lock index 632a50c713fb..6d12c6360309 100644 --- a/tests/integration/defs/perf/disagg/poetry.lock +++ b/tests/integration/defs/perf/disagg/poetry.lock @@ -15,15 +15,15 @@ files = [ [[package]] name = "exceptiongroup" -version = "1.3.0" +version = "1.3.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" groups = ["main"] markers = "python_version == \"3.10\"" files = 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of IANA time zone data" optional = false python-versions = ">=2" groups = ["main"] files = [ - {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, - {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, + {file = "tzdata-2026.1-py2.py3-none-any.whl", hash = "sha256:4b1d2be7ac37ceafd7327b961aa3a54e467efbdb563a23655fbfe0d39cfc42a9"}, + {file = "tzdata-2026.1.tar.gz", hash = "sha256:67658a1903c75917309e753fdc349ac0efd8c27db7a0cb406a25be4840f87f98"}, ] [metadata] From ca1fa90fb6928c104dc27e6744ce04b50e2c7827 Mon Sep 17 00:00:00 2001 From: Misha Chornyi Date: Mon, 20 Apr 2026 18:25:10 +0000 Subject: [PATCH 241/241] fix(test): pass explicit streaming=False in base_metrics_verification_tests tensorrt_llm.bindings.executor.Request.__init__() no longer accepts streaming=None; the test was omitting the streaming tensor, causing get_input_scalar_by_name() to return None and the executor to crash. Relates-to: TRI-978 --- .../ci/L0_backend_trtllm/base_metrics_verification_tests.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/triton_backend/ci/L0_backend_trtllm/base_metrics_verification_tests.py b/triton_backend/ci/L0_backend_trtllm/base_metrics_verification_tests.py index 2d6f2ba55706..5cae15823621 100644 --- a/triton_backend/ci/L0_backend_trtllm/base_metrics_verification_tests.py +++ b/triton_backend/ci/L0_backend_trtllm/base_metrics_verification_tests.py @@ -81,6 +81,8 @@ def _run_infer(self, client, prompts, output_lens, beam_width_value=1): utils.prepare_tensor("max_tokens", output0_len, "http"), utils.prepare_tensor("bad_words", bad_words_list, "http"), utils.prepare_tensor("stop_words", stop_words_list, "http"), + utils.prepare_tensor("streaming", np.array([[False]], + dtype=bool), "http"), ] if beam_width_value > 1: beam_width = np.ones_like(input0).astype(