Files
xc-llm-ascend/requirements.txt
wangxiyuan 10772d94e3 [Build] Force torch version (#3791)
We notice that sometimes user build vllm-ascend with incorrect torch
version. In this case, the build is passed, but when running the code,
the error `AttributeError: '_OpNamespace' '_C_ascend' object has no
attribute 'weak_ref_tensor'` is raised. Let's force the torch version to
2.7.1 and check the torch version when build from source to fix the
issue.

closes: #3342

- vLLM version: v0.11.0rc3
- vLLM main:
c9461e05a4

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2025-10-30 15:53:15 +08:00

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# Should be mirrored in pyporject.toml
cmake>=3.26
decorator
einops
numpy<2.0.0
packaging
pip
pybind11
pyyaml
scipy
pandas
setuptools>=64
setuptools-scm>=8
torch==2.7.1
torchvision
wheel
pandas-stubs
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