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use python3 instead of python for vllm

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multi-version (unit-3.10(torch_212, tf_latest), 3.10)

multi-version (unit-3.11(torch_212, tf_latest), 3.11)

multi-version (unit-3.13(torch_212, tf_latest), 3.13)

multi-version (unit-3.14(torch_212, tf_latest), 3.14)

multi-version (unit-3.12(torch_28, tf_latest), 3.12)

multi-version (unit-3.12(torch_29, tf_latest), 3.12)

multi-version (unit-3.12(torch_210, tf_latest), 3.12)

multi-version (unit-3.12(torch_211, tf_latest), 3.12)

multi-version (unit-3.12(torch_212, tf_min), 3.12)

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Example tests on: push 13

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torch (llm_distill) / run-test

torch (llm_qat) / run-test

torch (llm_sparsity) / run-test

torch (diffusers_sparsity) / run-test

torch (specdec_bench) / run-test

torch (speculative_decoding, 26.01) / run-test

trtllm-pr (llm_ptq) / run-test

trtllm-pr (vlm_ptq) / run-test

megatron / run-test

onnx (diffusers) / run-test

onnx (torch_onnx) / run-test

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gpu-tests (gpu, 75, nvcr.io/nvidia/pytorch:26.04-py3)

gpu-tests (gpu_megatron, 45, nvcr.io/nvidia/nemo:26.04)

gpu-tests (gpu_trtllm, 30, nvcr.io/nvidia/tensorrt-llm/release:1.3.0rc16)

gpu-tests (gpu_vllm, 30, docker.io/vllm/vllm-openai:v0.20.0)

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