69740039b7
### What this PR does / why we need it?
1. Upgrade CANN to 8.5.0
2. move triton-ascend 3.2.0 to requirements
note: we skipped the two failed e2e test, see
https://github.com/vllm-project/vllm-ascend/issues/6076 for more detail.
We'll fix it soon.
### How was this patch tested?
Closes: https://github.com/vllm-project/vllm-ascend/issues/5494
- vLLM version: v0.13.0
- vLLM main:
d68209402d
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
37 lines
617 B
Plaintext
37 lines
617 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==2.8.0
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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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compressed_tensors>=0.11.0
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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==2.8.0
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arctic-inference==0.1.1
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transformers>=4.57.3
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fastapi<0.124.0
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triton-ascend==3.2.0
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