afc58184ec
### What this PR does / why we need it? vllm requires opencv-python-headless >= 4.11.0 which requires (numpy<2.3.0,>=2), but vllm-ascend numpy version must be less than 2.0.0, so limit opencv-python-headless less than 4.11.0.86 will fix this conflict. ### How was this patch tested? tested by CI - vLLM version: v0.11.0rc3 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0 Signed-off-by: 22dimensions <waitingwind@foxmail.com>
31 lines
517 B
Plaintext
31 lines
517 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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pandas
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setuptools>=64
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setuptools-scm>=8
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torch>=2.7.1
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torchvision
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wheel
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pandas-stubs
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opencv-python-headless<=4.11.0.86 # Required to avoid numpy version conflict with vllm
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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==2.7.1.dev20250724
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