[Feature] Add OpenVLA-OFT L1 reference wrapper and SimpleVLA parity tooling#3942
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This was referenced Jul 6, 2026
vmoens
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…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 614dc3b Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 2b3fd4a Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: fd1aa41 Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 7a9c9f2 Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 204a5e0 Pull-Request: #3942
Contributor
Benchmark Results: PR
|
| Benchmark | main ops | PR ops | Change |
|---|---|---|---|
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-ListStorage-None-400] |
49.20 | 191.24 | +288.68% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-ListStorage-RandomSampler-400] |
195.32 | 39.59 | -79.73% |
benchmarks/test_objectives_benchmarks.py::test_values[vec_generalized_advantage_estimate-True-True] |
54.98 | 87.66 | +59.46% |
benchmarks/test_objectives_benchmarks.py::test_values[vec_td1_return_estimate-False-False] |
55.32 | 87.54 | +58.26% |
benchmarks/test_objectives_benchmarks.py::test_values[vec_td_lambda_return_estimate-True-False] |
55.28 | 86.97 | +57.31% |
benchmarks/test_objectives_benchmarks.py::test_gae_speed[vec_generalized_advantage_estimate-True-32-512] |
28.52 | 43.28 | +51.75% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[False-None] |
60.05 | 89.50 | +49.03% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-480-640-16] |
28.71 | 36.50 | +27.14% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[True-backward] |
231.51 | 284.95 | +23.08% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[16-same] |
20.05 | 23.63 | +17.89% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[4-same] |
29.53 | 25.27 | -14.42% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-256-256-64] |
9.3735 | 10.64 | +13.55% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] |
2,932 | 3,274 | +11.68% |
benchmarks/test_collectors_benchmark.py::test_single_with_rb |
7.3781 | 6.5444 | -11.30% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] |
2,244 | 2,005 | -10.65% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-400] |
470.44 | 519.76 | +10.49% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] |
2,988 | 3,289 | +10.08% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] |
2,817 | 3,090 | +9.70% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] |
3,339 | 3,018 | -9.61% |
benchmarks/test_objectives_benchmarks.py::test_dqn_speed[True-backward] |
898.69 | 984.87 | +9.59% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_contiguous[100-img_shape1-atari] |
5,007 | 5,468 | +9.22% |
benchmarks/test_objectives_benchmarks.py::test_values[generalized_advantage_estimate-True-True] |
93.83 | 101.76 | +8.45% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[safetensors] |
22,916 | 24,482 | +6.83% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-sampler7-10000] |
793.69 | 741.03 | -6.64% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] |
3,032 | 3,230 | +6.53% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-224-224-64] |
11.51 | 12.26 | +6.46% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-400] |
924.58 | 865.10 | -6.43% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-sampler6-10000] |
748.21 | 700.12 | -6.43% |
benchmarks/test_objectives_benchmarks.py::test_values[td0_return_estimate-False-False] |
7,443 | 7,880 | +5.88% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_stack_then_write[100-img_shape1-atari] |
264.80 | 280.01 | +5.74% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[True-backward] |
233.43 | 245.98 | +5.38% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[100-img_shape2-large_img] |
403.89 | 423.54 | +4.87% |
benchmarks/test_envs_benchmark.py::test_simple |
1.8050 | 1.7173 | -4.86% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_stack_then_write[200-img_shape3-large_batch] |
136.27 | 142.70 | +4.72% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] |
3,379 | 3,234 | -4.29% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] |
3,180 | 3,044 | -4.25% |
benchmarks/test_objectives_benchmarks.py::test_dqn_speed[True-None] |
1,699 | 1,770 | +4.17% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-256-256-1] |
187.24 | 194.99 | +4.14% |
benchmarks/test_objectives_benchmarks.py::test_ppo_speed[reduce-overhead-None] |
256.47 | 266.86 | +4.05% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_lazystack_then_write[100-img_shape2-large_img] |
389.64 | 405.37 | +4.04% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-False-False-False] |
48,077 | 49,977 | +3.95% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-True-False-False] |
66,342 | 63,731 | -3.94% |
benchmarks/test_non_tensor_env_benchmark.py::test_non_tensor_env_rollout_speed[1000-single-True] |
1.3166 | 1.3681 | +3.92% |
benchmarks/test_objectives_benchmarks.py::test_ddpg_speed[True-backward] |
406.32 | 421.16 | +3.65% |
benchmarks/test_objectives_benchmarks.py::test_ppo_speed[True-None] |
253.43 | 262.43 | +3.55% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-False-False-True] |
29,759 | 30,792 | +3.47% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-True-False-False] |
50,153 | 48,426 | -3.44% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-True-False-True] |
32,641 | 33,706 | +3.26% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] |
3,210 | 3,105 | -3.26% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[True-backward] |
132.03 | 136.25 | +3.20% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] |
163.95 | 169.09 | +3.14% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-480-640-64] |
6.2954 | 6.4869 | +3.04% |
benchmarks/test_objectives_benchmarks.py::test_redq_speed[True-None] |
217.56 | 223.99 | +2.95% |
benchmarks/test_objectives_benchmarks.py::test_dqn_speed[reduce-overhead-None] |
1,807 | 1,859 | +2.87% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[16-constant] |
2,489 | 2,560 | +2.85% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_stack_then_write[100-img_shape2-large_img] |
178.24 | 173.18 | -2.84% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-10000-10000-100-True] |
25.38 | 24.67 | -2.80% |
benchmarks/test_storage_write_benchmark.py::TestCollectorIntegrationBenchmark::test_collector_without_rb[200-img_shape1-large_batch] |
14.82 | 15.23 | +2.75% |
benchmarks/test_replaybuffer_benchmark.py::TestPrioritizedReplayBufferBenchmark::test_sampler_sample_scale[10000000-cpu] |
52.10 | 53.51 | +2.70% |
benchmarks/test_storage_write_benchmark.py::TestCollectorIntegrationBenchmark::test_collector_with_rb[100-img_shape0-atari] |
19.94 | 20.47 | +2.68% |
benchmarks/test_envs_benchmark.py::test_parallel |
0.9875 | 0.9614 | -2.64% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[True-None] |
278.06 | 285.30 | +2.60% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] |
157.58 | 161.63 | +2.57% |
benchmarks/test_objectives_benchmarks.py::test_reinforce_speed[True-backward] |
123.55 | 126.72 | +2.56% |
benchmarks/test_objectives_benchmarks.py::test_gae_speed[vec_generalized_advantage_estimate-True-1-512] |
647.42 | 664.01 | +2.56% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-False-False-True] |
28,114 | 28,824 | +2.53% |
benchmarks/test_non_tensor_env_benchmark.py::test_non_tensor_env_rollout_speed[1000-parallel-buffers-True] |
0.5082 | 0.5209 | +2.51% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[True-None] |
548.99 | 562.15 | +2.40% |
benchmarks/test_objectives_benchmarks.py::test_cql_speed[True-backward] |
59.18 | 57.76 | -2.39% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-False-True-False] |
38,092 | 38,988 | +2.35% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[200-img_shape3-large_batch] |
328.99 | 336.60 | +2.31% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-False-True-True] |
21,711 | 22,201 | +2.26% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[4-constant] |
4,196 | 4,290 | +2.25% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] |
160.88 | 164.49 | +2.25% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[False-None] |
49.63 | 50.69 | +2.15% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-1000000-10000-100-True] |
22.93 | 23.42 | +2.13% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[torch.save] |
7,100 | 7,250 | +2.12% |
benchmarks/test_collectors_benchmark.py::test_sync |
16.43 | 16.78 | +2.10% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] |
2,037 | 2,079 | +2.02% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] |
2,124 | 2,082 | -2.01% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_contiguous[50-img_shape0-small] |
7,122 | 7,262 | +1.96% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-cudnn-False-0-gru] |
1.3130 | 1.3380 | +1.90% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[False-None] |
122.29 | 124.60 | +1.89% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[reduce-overhead-None] |
274.47 | 279.65 | +1.89% |
benchmarks/test_objectives_benchmarks.py::test_reinforce_speed[reduce-overhead-None] |
332.69 | 338.97 | +1.89% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-224-224-1] |
627.34 | 638.88 | +1.84% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-10000-10000-100-False] |
53.17 | 52.20 | -1.83% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-False-True-True] |
19,433 | 19,781 | +1.79% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-400] |
513.90 | 522.84 | +1.74% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_lazystack_then_write[200-img_shape3-large_batch] |
310.36 | 315.72 | +1.73% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-256-256-64] |
3.0604 | 3.0085 | -1.70% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-480-640-4] |
144.50 | 146.91 | +1.67% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[True-backward] |
119.09 | 121.04 | +1.63% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[False-None] |
176.48 | 179.34 | +1.62% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[True-None] |
458.83 | 466.23 | +1.61% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[False-backward] |
88.61 | 90.03 | +1.60% |
benchmarks/test_envs_benchmark.py::test_serial |
0.5830 | 0.5923 | +1.59% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-False-False-True] |
37,901 | 38,491 | +1.56% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[100-img_shape1-atari] |
690.36 | 701.01 | +1.54% |
benchmarks/test_collectors_benchmark.py::test_sync_preempt |
16.44 | 16.70 | +1.53% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-True-False-False] |
58,126 | 57,242 | -1.52% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-True-True-False] |
34,938 | 34,414 | -1.50% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-True-True-True] |
20,370 | 20,674 | +1.49% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-cudnn-True-0-gru] |
1.4278 | 1.4491 | +1.49% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-400] |
1,105 | 1,088 | -1.49% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-False-False-False] |
44,084 | 44,735 | +1.48% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-True-False-False] |
75,910 | 76,994 | +1.43% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-scan-True-0-lstm] |
3.1313 | 3.1755 | +1.41% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] |
2,162 | 2,192 | +1.41% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-256-256-4] |
162.72 | 165.00 | +1.40% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[True-None] |
116.85 | 118.45 | +1.37% |
benchmarks/test_objectives_benchmarks.py::test_dqn_speed[False-backward] |
516.28 | 523.38 | +1.37% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[pickle] |
12,254 | 12,086 | -1.37% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-480-640-4] |
20.00 | 20.27 | +1.36% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-True-False-True] |
37,955 | 38,468 | +1.35% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] |
162.98 | 165.11 | +1.31% |
benchmarks/test_non_tensor_env_benchmark.py::test_non_tensor_env_rollout_speed[1000-parallel-no-buffers-True] |
0.2110 | 0.2138 | +1.30% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[True-None] |
269.62 | 273.03 | +1.26% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-ListStorage-RandomSampler-4000] |
166.22 | 168.19 | +1.18% |
benchmarks/test_objectives_benchmarks.py::test_ddpg_speed[reduce-overhead-None] |
718.42 | 726.91 | +1.18% |
| ... | ... | ... | Showing 120 of 216 comparisons, sorted by absolute change. |
GPU
Compared 226 benchmarks. Regressions over 5%: 9. Improvements over 5%: 17.
| Benchmark | main ops | PR ops | Change |
|---|---|---|---|
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-ListStorage-RandomSampler-400] |
44.78 | 193.03 | +331.10% |
benchmarks/test_objectives_benchmarks.py::test_cql_speed[reduce-overhead-None] |
60.31 | 88.45 | +46.66% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[reduce-overhead-None] |
77.37 | 102.59 | +32.61% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] |
3,329 | 2,554 | -23.29% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[reduce-overhead-None] |
84.92 | 104.30 | +22.81% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-sampler7-10000] |
686.04 | 823.32 | +20.01% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] |
2,655 | 3,154 | +18.79% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] |
2,497 | 2,961 | +18.60% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_contiguous[100-img_shape1-atari] |
3,587 | 4,161 | +16.01% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-10000] |
3,149 | 2,709 | -13.95% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-480-640-64] |
6.4094 | 7.0138 | +9.43% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] |
2,998 | 2,736 | -8.74% |
benchmarks/test_objectives_benchmarks.py::test_values[vec_generalized_advantage_estimate-True-True] |
521.27 | 478.38 | -8.23% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyMemmapStorage-sampler6-10000] |
716.00 | 771.61 | +7.77% |
benchmarks/test_collectors_benchmark.py::test_sync_preempt |
9.6588 | 10.40 | +7.64% |
benchmarks/test_non_tensor_env_benchmark.py::test_non_tensor_env_rollout_speed[1000-parallel-buffers-False] |
0.5585 | 0.5979 | +7.05% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-10000] |
2,871 | 2,672 | -6.90% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_contiguous[200-img_shape3-large_batch] |
737.92 | 687.55 | -6.83% |
benchmarks/test_objectives_benchmarks.py::test_dqn_speed[reduce-overhead-None] |
1,801 | 1,918 | +6.49% |
benchmarks/test_objectives_benchmarks.py::test_gae_speed[generalized_advantage_estimate-False-1-512] |
48.14 | 45.05 | -6.41% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-100000-10000-100-True] |
21.93 | 23.25 | +6.05% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_lazystack_then_write[100-img_shape2-large_img] |
380.95 | 403.46 | +5.91% |
benchmarks/test_objectives_benchmarks.py::test_redq_deprec_speed[True-backward] |
259.96 | 275.02 | +5.79% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-10000-10000-100-True] |
22.36 | 23.60 | +5.55% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyMemmapStorage-SamplerWithoutReplacement-10000] |
2,794 | 2,647 | -5.28% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-10000] |
2,967 | 2,813 | -5.20% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-10000] |
1,906 | 1,999 | +4.89% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-scan-True-0-gru] |
49.03 | 46.64 | -4.88% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[True-backward] |
313.92 | 329.22 | +4.87% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-RandomSampler-400] |
958.01 | 1,002 | +4.62% |
benchmarks/test_objectives_benchmarks.py::test_reinforce_speed[True-backward] |
341.39 | 356.78 | +4.51% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-100000-10000-100-False] |
49.48 | 51.69 | +4.47% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-scan-True-0-lstm] |
76.21 | 72.92 | -4.32% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-10000] |
1,965 | 2,049 | +4.26% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[100-img_shape2-large_img] |
397.03 | 413.20 | +4.07% |
benchmarks/test_objectives_benchmarks.py::test_ppo_speed[True-backward] |
351.94 | 337.68 | -4.05% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[16-constant] |
4,480 | 4,654 | +3.88% |
benchmarks/test_replaybuffer_benchmark.py::TestPrioritizedReplayBufferBenchmark::test_sample_mixed_devices[1000000-memmap_cpu_storage_cud... |
942.91 | 977.38 | +3.66% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[True-None] |
731.60 | 705.35 | -3.59% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[True-backward] |
356.56 | 343.97 | -3.53% |
benchmarks/test_objectives_benchmarks.py::test_gae_speed[vec_generalized_advantage_estimate-False-1-512] |
1,361 | 1,313 | -3.52% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[100-img_shape1-atari] |
675.61 | 652.35 | -3.44% |
benchmarks/test_envs_benchmark.py::test_parallel |
0.5358 | 0.5538 | +3.35% |
benchmarks/test_envs_benchmark.py::test_simple |
1.2359 | 1.1949 | -3.31% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-256-256-4] |
48.50 | 46.90 | -3.31% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-1000000-10000-100-True] |
21.60 | 22.31 | +3.27% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[50-img_shape0-small] |
4,209 | 4,345 | +3.24% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-LazyMemmapStorage-RandomSampler-400] |
467.09 | 481.88 | +3.17% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-True-False-True] |
37,358 | 38,540 | +3.16% |
benchmarks/test_objectives_benchmarks.py::test_reinforce_speed[False-backward] |
265.78 | 274.17 | +3.16% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[numpy] |
346,505 | 357,073 | +3.05% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-True-True-True] |
20,111 | 20,698 | +2.92% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictReplayBuffer-LazyTensorStorage-SamplerWithoutReplacement-400] |
975.50 | 1,004 | +2.91% |
benchmarks/test_objectives_benchmarks.py::test_values[td1_return_estimate-False-False] |
19.73 | 19.17 | -2.84% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-True-True-False] |
34,238 | 35,166 | +2.71% |
benchmarks/test_objectives_benchmarks.py::test_values[td_lambda_return_estimate-True-False] |
11.99 | 11.67 | -2.71% |
benchmarks/test_rnn_reset_backends_benchmark.py::test_rnn_rollout_with_intermediate_resets[b256-t128-i32-h512-triton-False-0-gru] |
20.04 | 20.58 | +2.67% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_extend_sample[ReplayBuffer-LazyTensorStorage-RandomSampler-10000-10000-100-False] |
50.60 | 51.91 | +2.60% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyTensorStorage-None-400] |
827.58 | 848.85 | +2.57% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-480-640-4] |
19.31 | 19.80 | +2.57% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[True-None] |
727.12 | 745.20 | +2.49% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[safetensors] |
24,353 | 23,755 | -2.46% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-True-True-True] |
23,828 | 23,249 | -2.43% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-False-False-True] |
30,148 | 30,879 | +2.42% |
benchmarks/test_objectives_benchmarks.py::test_values[generalized_advantage_estimate-True-True] |
47.37 | 46.24 | -2.38% |
benchmarks/test_objectives_benchmarks.py::test_ddpg_speed[True-None] |
802.56 | 821.64 | +2.38% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[torch.save] |
6,997 | 6,831 | -2.37% |
benchmarks/test_objectives_benchmarks.py::test_cql_speed[True-backward] |
220.73 | 225.96 | +2.37% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-256-256-16] |
12.16 | 11.88 | -2.37% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_iterate[TensorDictReplayBuffer-ListStorage-SamplerWithoutReplacement-4000] |
167.03 | 170.84 | +2.28% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-256-256-1] |
190.42 | 194.72 | +2.26% |
benchmarks/test_envs_benchmark.py::test_serial |
0.4189 | 0.4276 | +2.09% |
benchmarks/test_collectors_benchmark.py::test_sync |
10.22 | 10.43 | +2.08% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[pil-480-640-16] |
4.9849 | 4.8818 | -2.07% |
benchmarks/test_objectives_benchmarks.py::test_reinforce_speed[reduce-overhead-None] |
121.05 | 118.58 | -2.04% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-ListStorage-None-400] |
184.71 | 188.40 | +2.00% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[True-backward] |
233.40 | 238.05 | +1.99% |
benchmarks/test_replaybuffer_benchmark.py::TestPrioritizedReplayBufferBenchmark::test_sample_mixed_devices[1000000-cuda_storage_cuda_samp... |
1,466 | 1,495 | +1.99% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[False-backward] |
147.81 | 144.88 | -1.98% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[pickle] |
11,977 | 11,751 | -1.89% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-256-256-1] |
508.91 | 499.32 | -1.89% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-256-256-16] |
41.65 | 40.87 | -1.87% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[4-constant] |
4,649 | 4,735 | +1.86% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-False-True-True] |
19,542 | 19,900 | +1.83% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[True-backward] |
386.96 | 393.94 | +1.80% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_lazystack_then_write[100-img_shape1-atari] |
624.87 | 635.93 | +1.77% |
benchmarks/test_storage_write_benchmark.py::TestCollectorIntegrationBenchmark::test_collector_without_rb_cuda[100-img_shape0-atari] |
17.24 | 16.94 | -1.74% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[16-same] |
5.3652 | 5.4572 | +1.71% |
benchmarks/test_vla_preprocessing_benchmark.py::test_openvla_preprocessing_throughput[torchvision-224-224-4] |
179.76 | 182.83 | +1.71% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[True-None] |
500.73 | 509.25 | +1.70% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-True-True-False-False] |
57,501 | 56,532 | -1.69% |
benchmarks/test_envs_benchmark.py::test_cat_frames_functional[4-same] |
6.4995 | 6.6079 | +1.67% |
benchmarks/test_objectives_benchmarks.py::test_ppo_speed[False-None] |
223.31 | 227.01 | +1.66% |
benchmarks/test_envs_benchmark.py::test_transformed |
0.7060 | 0.6943 | -1.65% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-True-True-False] |
41,752 | 42,429 | +1.62% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_stack_then_write[100-img_shape2-large_img] |
166.66 | 169.34 | +1.61% |
benchmarks/test_non_tensor_env_benchmark.py::test_non_tensor_env_rollout_speed[1000-parallel-buffers-True] |
0.5129 | 0.5210 | +1.59% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-True-False-False] |
50,515 | 49,713 | -1.59% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[False-None] |
96.24 | 97.72 | +1.54% |
benchmarks/test_objectives_benchmarks.py::test_iql_speed[False-backward] |
66.48 | 67.50 | +1.52% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-False-True-False] |
27,511 | 27,093 | -1.52% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-True-False-True] |
30,768 | 30,311 | -1.48% |
benchmarks/test_compressed_storage_benchmark.py::TestCompressedStorageBenchmark::test_tensor_to_bytestream_speed[untyped_storage] |
7.9983 | 7.8805 | -1.47% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[False-False-False-False-True] |
28,717 | 28,299 | -1.46% |
benchmarks/test_collectors_benchmark.py::test_single_pixels |
6.2516 | 6.1677 | -1.34% |
benchmarks/test_objectives_benchmarks.py::test_sac_speed[True-None] |
613.25 | 621.44 | +1.34% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_sample[TensorDictPrioritizedReplayBuffer-ListStorage-None-4000] |
161.28 | 163.41 | +1.32% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[False-None] |
110.49 | 109.03 | -1.32% |
benchmarks/test_objectives_benchmarks.py::test_a2c_speed[reduce-overhead-None] |
852.29 | 863.18 | +1.28% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-False-False-True] |
33,516 | 33,935 | +1.25% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_lazystack_then_write[200-img_shape3-large_batch] |
299.45 | 303.16 | +1.24% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-False-False-True] |
37,537 | 37,996 | +1.22% |
benchmarks/test_objectives_benchmarks.py::test_td3_speed[False-backward] |
80.55 | 79.59 | -1.19% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-True-False-True-True] |
21,615 | 21,872 | +1.19% |
benchmarks/test_objectives_benchmarks.py::test_ddpg_speed[True-backward] |
441.12 | 446.33 | +1.18% |
benchmarks/test_replaybuffer_benchmark.py::test_rb_populate[TensorDictPrioritizedReplayBuffer-LazyMemmapStorage-None-400] |
420.18 | 415.29 | -1.16% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_storage_write_lazystack[200-img_shape3-large_batch] |
316.18 | 319.82 | +1.15% |
benchmarks/test_storage_write_benchmark.py::TestStorageWriteBenchmark::test_collector_stack_then_write[100-img_shape1-atari] |
271.08 | 274.17 | +1.14% |
benchmarks/test_storage_write_benchmark.py::TestCollectorIntegrationBenchmark::test_collector_without_rb_cuda[200-img_shape1-large_batch] |
8.5169 | 8.4202 | -1.13% |
benchmarks/test_envs_benchmark.py::test_step_mdp_speed[True-False-False-False-False] |
53,860 | 54,454 | +1.10% |
| ... | ... | ... | Showing 120 of 226 comparisons, sorted by absolute change. |
vmoens
added a commit
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Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: c3324d9 Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 0ee32ea Pull-Request: #3942
vmoens
added a commit
that referenced
this pull request
Jul 6, 2026
…ooling OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT checkpoints (released action head + proprio projector, wrist image, 8-D proprio) for deterministic reference and evaluation rollouts; token GRPO training semantics are unchanged and the PPO loss still requires token log-probabilities. compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a JSON parity report of per-trajectory token/action/success agreement. The mode-selection plumbing (policy.mode=l1) ships in the commit below; on its own that mode fails with an ImportError until this commit is applied. ghstack-source-id: 0ee32ea Pull-Request: #3942
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Stack from ghstack (oldest at bottom):
OpenVLAOFTL1Wrapper serves the official continuous L1-head OpenVLA-OFT
checkpoints (released action head + proprio projector, wrist image, 8-D
proprio) for deterministic reference and evaluation rollouts; token GRPO
training semantics are unchanged and the PPO loss still requires token
log-probabilities.
compare_simplevla_rollouts.py rolls the same (task, init-state) trajectories
through the TorchRL stack and the SimpleVLA-RL/VeRL reference and writes a
JSON parity report of per-trajectory token/action/success agreement.
The mode-selection plumbing (policy.mode=l1) ships in the commit below; on
its own that mode fails with an ImportError until this commit is applied.