### 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.
backport of
afc58184ec
Signed-off-by: 22dimensions <waitingwind@foxmail.com>
Co-authored-by: 22dimensions <waitingwind@foxmail.com>
29 lines
497 B
Plaintext
29 lines
497 B
Plaintext
# Should be mirrored in pyporject.toml
|
|
cmake>=3.26
|
|
decorator
|
|
einops
|
|
numpy<2.0.0
|
|
packaging
|
|
pip
|
|
pybind11
|
|
pyyaml
|
|
scipy
|
|
setuptools>=64
|
|
setuptools-scm>=8
|
|
torch>=2.7.1
|
|
torchvision
|
|
wheel
|
|
opencv-python-headless<=4.11.0.86 # Required to avoid numpy version conflict with vllm
|
|
|
|
# requirements for disaggregated prefill
|
|
msgpack
|
|
quart
|
|
|
|
# Required for N-gram speculative decoding
|
|
numba
|
|
|
|
# Install torch_npu
|
|
--pre
|
|
--extra-index-url https://mirrors.huaweicloud.com/ascend/repos/pypi
|
|
torch-npu==2.7.1.dev20250724
|