17a430f7b8
### What this PR does / why we need it? - Upgrade to v0.10.0 - Drop v0.9.2 version compatibility - Add patch for `vllm_ascend/patch/worker/patch_common/patch_sampler_gather_logprobs.py` as workaround off3a683b7c9for v0.10.0 and also add e2e test `test_models_prompt_logprobs` - Pin transformers<4.54.0 as workaround of https://github.com/vllm-project/vllm-ascend/issues/2034 ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? - Test locally: `VLLM_USE_MODELSCOPE=true pytest -sv tests/e2e/singlecard/test_offline_inference.py::test_models_prompt_logprobs` - CI passed - vLLM version: v0.9.2 - vLLM main:7728dd77bb--------- Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
30 lines
514 B
Plaintext
30 lines
514 B
Plaintext
# Should be mirrored in pyporject.toml
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cmake>=3.26
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decorator
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einops
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numpy<2.0.0
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packaging
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pip
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pybind11
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pyyaml
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scipy
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setuptools>=64
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setuptools-scm>=8
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torch>=2.5.1
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torchvision<0.21.0
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wheel
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# Remove after https://github.com/vllm-project/vllm-ascend/issues/2034
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transformers<4.54.0
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# requirements for disaggregated prefill
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msgpack
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quart
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# Required for N-gram speculative decoding
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numba
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# Install torch_npu
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--pre
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--extra-index-url https://mirrors.huaweicloud.com/ascend/repos/pypi
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torch-npu==2.5.1.post1.dev20250619
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