Mirrors/modelscope
1
0
Fork 0
mirror of https://github.com/modelscope/modelscope.git synced 2026-02-24 12:10:09 +01:00
Code Issues Packages Projects Releases Wiki Activity

update dockerfile to fit pytorch 2.4.0 and vllm/lmdeploy 0.6.0

Browse Source
This commit is contained in:
yuze.zyz
2024-09-21 22:00:44 +08:00
parent d5c9c82340
commit 12d45846e7
2 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
.dev_scripts/build_image.sh
View File

@@ -159,7 +159,7 @@ docker_file_content=`cat docker/Dockerfile.ubuntu`
BUILD_HASH_ID=$(git rev-parse HEAD)
# install thrid part library
docker_file_content="${docker_file_content} \nRUN export COMMIT_ID=$BUILD_HASH_ID && pip install --no-cache-dir -U adaseq pai-easycv && pip install --no-cache-dir -U 'ms-swift' 'decord' 'qwen_vl_utils' 'pyav' 'librosa' 'funasr' autoawq 'timm>0.9.5' 'transformers' 'accelerate' 'peft' 'optimum' 'trl'"
docker_file_content="${docker_file_content} \nRUN export COMMIT_ID=$BUILD_HASH_ID && pip install --no-cache-dir -U adaseq pai-easycv && pip install --no-cache-dir -U 'ms-swift' 'decord' 'qwen_vl_utils' 'pyav' 'librosa' 'funasr' 'timm>0.9.5' 'accelerate' 'gradio' 'peft' 'optimum' 'trl' 'transformers'"
docker_file_content="${docker_file_content} \nRUN pip uninstall modelscope -y && export COMMIT_ID=$BUILD_HASH_ID && cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b $build_branch --single-branch $REPO_URL && cd modelscope && pip install . && cd / && rm -fr /tmp/modelscope && pip cache purge;"
@@ -170,7 +170,7 @@ else
echo "Building dsw image will need set ModelScope lib cache location."
docker_file_content="${docker_file_content} \nENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope"
# pre compile extension
docker_file_content="${docker_file_content} \nRUN pip uninstall -y tb-nightly tensorboard && pip install --no-cache-dir -U tensorboard && TORCH_CUDA_ARCH_LIST='6.0 6.1 7.0 7.5 8.0 8.9 9.0 8.6+PTX' python -c 'from modelscope.utils.pre_compile import pre_compile_all;pre_compile_all()'"
docker_file_content="${docker_file_content} \nRUN pip uninstall -y tb-nightly tensorboard && pip install --no-cache-dir -U tensorboard && TORCH_CUDA_ARCH_LIST='6.0 6.1 7.0 7.5 8.0 8.9 9.0 8.6+PTX' python -c 'from modelscope.utils.pre_compile import pre_compile_all;pre_compile_all()' && pip --no-cache-dir install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0"
fi

3
docker/Dockerfile.ubuntu
View File

@@ -58,7 +58,8 @@ 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 'lmdeploy==0.6.0' && \
pip install --no-cache-dir 'vllm==0.6.0'; \
else \
echo 'cpu unsupport vllm auto-gptq'; \
fi