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set vllm==0.5.2 in Dockerfile.ubuntu to fix CI issue

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xingjun.wang
2024-10-09 21:46:06 +08:00
parent c5a33b9b12
commit 5572df62cc
1 changed files with 1 additions and 1 deletions
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docker/Dockerfile.ubuntu
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@@ -58,7 +58,7 @@ RUN if [ "$USE_GPU" = "True" ] ; then \
pip install --no-cache-dir -U 'xformers<0.0.27' --index-url https://download.pytorch.org/whl/cu121 && \
pip install --no-cache-dir --force tinycudann==1.7 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
pip uninstall -y torch-scatter && TORCH_CUDA_ARCH_LIST="6.0;6.1;6.2;7.0;7.5;8.0;8.6;8.9;9.0" pip install --no-cache-dir -U torch-scatter && \
pip install --no-cache-dir -U triton 'vllm==0.5.1' https://modelscope.oss-cn-beijing.aliyuncs.com/packages/lmdeploy-0.5.0-cp310-cp310-linux_x86_64.whl; \
pip install --no-cache-dir -U triton 'vllm==0.5.2' https://modelscope.oss-cn-beijing.aliyuncs.com/packages/lmdeploy-0.5.0-cp310-cp310-linux_x86_64.whl; \
else \
echo 'cpu unsupport vllm auto-gptq'; \
fi