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672c32e7bd
* fix ci issue * fix case issue * modify lint to python3.10 * fix case issue --------- Co-authored-by: mulin.lyh <mulin.lyh@taobao.com>
233 lines
9.1 KiB
Bash
233 lines
9.1 KiB
Bash
#!/bin/bash
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# default values.
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#BASE_PY37_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-py37-torch1.11.0-tf1.15.5-base
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#BASE_PY38_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-base
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#BASE_PY38_GPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.3.0-py38-torch1.11.0-tf1.15.5-base
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#BASE_PY38_GPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.7.1-py38-torch2.0.1-tf1.15.5-base
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#BASE_PY38_GPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.7.1-py38-torch1.13.1-tf2.6.0-base
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#BASE_PY37_GPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-base
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MODELSCOPE_REPO_ADDRESS=reg.docker.alibaba-inc.com/modelscope/modelscope
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python_version=3.7.13
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torch_version=1.11.0
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cudatoolkit_version=11.7
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tensorflow_version=1.15.5
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modelscope_version=None
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cuda_version=11.7.1
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is_ci_test=False
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is_dsw=False
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is_cpu=False
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run_ci_test=False
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function usage(){
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echo "usage: build.sh "
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echo " --python=python_version set python version, default: $python_version"
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echo " --cuda=cuda_version set cuda version,only[11.3.0, 11.7.1], fefault: $cuda_version"
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echo " --torch=torch_version set pytorch version, fefault: $torch_version"
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echo " --tensorflow=tensorflow_version set tensorflow version, default: $tensorflow_version"
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echo " --modelscope=modelscope_version set modelscope version, default: $modelscope_version"
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echo " --test option for run test before push image, only push on ci test pass"
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echo " --cpu option for build cpu version"
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echo " --dsw option for build dsw version"
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echo " --ci option for build ci version"
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echo " --push option for push image to remote repo"
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}
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for i in "$@"; do
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case $i in
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--python=*)
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python_version="${i#*=}"
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shift
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;;
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--cuda=*)
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cuda_version="${i#*=}"
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if [ "$cuda_version" == "11.3.0" ]; then
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cudatoolkit_version=11.3
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elif [ "$cuda_version" == "11.7.1" ]; then
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cudatoolkit_version=11.7
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elif [ "$cuda_version" == "11.8.0" ]; then
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cudatoolkit_version=11.8
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elif [ "$cuda_version" == "12.1.0" ]; then
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cudatoolkit_version=12.1
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else
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echo "Unsupport cuda version $cuda_version"
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exit 1
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fi
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shift # pytorch version
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;;
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--torch=*)
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torch_version="${i#*=}"
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shift # pytorch version
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;;
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--tensorflow=*)
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tensorflow_version="${i#*=}"
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shift # tensorflow version
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;;
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--cudatoolkit=*)
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cudatoolkit_version="${i#*=}"
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shift # cudatoolkit for pytorch
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;;
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--modelscope=*)
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modelscope_version="${i#*=}"
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shift # modelscope version
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;;
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--test)
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run_ci_test=True
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shift # will run ci test
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;;
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--cpu)
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is_cpu=True
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shift # is cpu image
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;;
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--ci)
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is_ci_test=True
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shift # is ci, will not install modelscope
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;;
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--dsw)
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is_dsw=True
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shift # is dsw, will set dsw cache location
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;;
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--push)
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is_push=True
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shift # option for push image to remote repo
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;;
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--help)
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usage
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exit 0
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;;
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-*|--*)
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echo "Unknown option $i"
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usage
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exit 1
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;;
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*)
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;;
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esac
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done
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if [ "$modelscope_version" == "None" ]; then
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echo "ModelScope version must specify!"
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exit 1
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fi
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if [ "$is_cpu" == "True" ]; then
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base_tag=ubuntu20.04
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export USE_GPU=False
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else
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base_tag=ubuntu20.04-cuda$cuda_version
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export USE_GPU=True
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fi
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if [[ $python_version == 3.7* ]]; then
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if [ "$is_cpu" == "True" ]; then
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echo "Building python3.7 cpu image"
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-py37-torch$torch_version-tf$tensorflow_version-base
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else
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echo "Building python3.7 gpu image"
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda$cuda_version-py37-torch$torch_version-tf$tensorflow_version-base
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fi
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base_tag=$base_tag-py37
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elif [[ $python_version == 3.8* ]]; then
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if [ "$is_cpu" == "True" ]; then
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echo "Building python3.8 cpu image"
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-py38-torch$torch_version-tf$tensorflow_version-base
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else
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echo "Building python3.8 gpu image"
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda$cuda_version-py38-torch$torch_version-tf$tensorflow_version-base
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fi
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base_tag=$base_tag-py38
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elif [[ $python_version == 3.10* ]]; then
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if [ "$is_cpu" == "True" ]; then
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echo "Building python3.10 cpu image"
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base_tag=ubuntu22.04-py310
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu22.04-py310-torch$torch_version-tf$tensorflow_version-base
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else
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echo "Building python3.10 gpu image"
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base_tag=ubuntu22.04-cuda$cuda_version-py310
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# reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu22.04-cuda12.1.0-py310-torch2.1.0-tf2.14.0-base
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu22.04-cuda$cuda_version-py310-torch$torch_version-tf$tensorflow_version-base
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fi
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else
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echo "Unsupport python version: $python_version"
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exit 1
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fi
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target_image_tag=$base_tag-torch$torch_version-tf$tensorflow_version
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if [ "$is_ci_test" == "True" ]; then
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target_image_tag=$target_image_tag-$modelscope_version-ci
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else
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target_image_tag=$target_image_tag-$modelscope_version-test
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fi
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export IMAGE_TO_BUILD=$MODELSCOPE_REPO_ADDRESS:$target_image_tag
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export PYTHON_VERSION=$python_version
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export TORCH_VERSION=$torch_version
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export CUDATOOLKIT_VERSION=$cudatoolkit_version
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export TENSORFLOW_VERSION=$tensorflow_version
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echo -e "Building image with:\npython$python_version\npytorch$torch_version\ntensorflow:$tensorflow_version\ncudatoolkit:$cudatoolkit_version\ncpu:$is_cpu\nis_ci:$is_ci_test\nis_dsw:$is_dsw\n"
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echo -e "Base iamge: $BASE_IMAGE"
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docker_file_content=`cat docker/Dockerfile.ubuntu`
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if [ "$is_ci_test" != "True" ]; then
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echo "Building ModelScope lib, will install ModelScope lib to image"
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docker_file_content="${docker_file_content} \nRUN export COMMIT_ID=$CIS_ENV_COMMIT_ID && pip install --no-cache-dir -U adaseq pai-easycv ms_swift funasr 'transformers==4.36.2'"
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docker_file_content="${docker_file_content} \nRUN pip uninstall modelscope -y && export COMMIT_ID=$CIS_ENV_COMMIT_ID && cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b $CIS_ENV_BRANCH --single-branch $REPO_URL && cd MaaS-lib && pip install . && cd / && rm -fr /tmp/MaaS-lib"
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MMCV_WITH_OPS=1 MAX_JOBS=32 pip install --no-cache-dir 'mmcv-full<=1.7.0' && pip cache purge; \
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fi
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echo "$is_dsw"
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if [ "$is_dsw" == "False" ]; then
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echo "Not DSW image"
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else
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echo "Building dsw image will need set ModelScope lib cache location."
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docker_file_content="${docker_file_content} \nENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope"
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# pre compile extension
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docker_file_content="${docker_file_content} \nRUN pip uninstall -y tb-nightly && pip install --no-cache-dir -U tensorboard && TORCH_CUDA_ARCH_LIST='6.0 6.1 7.0 7.5 8.0 8.9 9.0 8.6+PTX' python -c 'from modelscope.utils.pre_compile import pre_compile_all;pre_compile_all()'"
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fi
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if [ "$is_ci_test" == "True" ]; then
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echo "Building CI image, uninstall modelscope"
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docker_file_content="${docker_file_content} \nRUN pip uninstall modelscope -y"
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fi
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docker_file_content="${docker_file_content} \n RUN cp /tmp/resources/conda.aliyun ~/.condarc && \
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pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
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pip config set install.trusted-host mirrors.aliyun.com && \
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cp /tmp/resources/ubuntu2204.aliyun /etc/apt/sources.list "
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printf "$docker_file_content" > Dockerfile
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while true
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do
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docker build --progress=plain -t $IMAGE_TO_BUILD \
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--build-arg USE_GPU \
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--build-arg BASE_IMAGE \
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--build-arg PYTHON_VERSION \
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--build-arg TORCH_VERSION \
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--build-arg CUDATOOLKIT_VERSION \
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--build-arg TENSORFLOW_VERSION \
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-f Dockerfile .
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if [ $? -eq 0 ]; then
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echo "Image build done"
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break
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else
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echo "Running docker build command error, we will retry"
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fi
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done
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if [ "$run_ci_test" == "True" ]; then
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echo "Running ci case."
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export MODELSCOPE_CACHE=/home/mulin.lyh/model_scope_cache
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export MODELSCOPE_HOME_CACHE=/home/mulin.lyh/ci_case_home # for credential
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export IMAGE_NAME=$MODELSCOPE_REPO_ADDRESS
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export IMAGE_VERSION=$target_image_tag
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export MODELSCOPE_DOMAIN=www.modelscope.cn
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export HUB_DATASET_ENDPOINT=http://www.modelscope.cn
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export CI_TEST=True
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export TEST_LEVEL=1
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if [ "$is_ci_test" != "True" ]; then
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echo "Testing for dsw image or MaaS-lib image"
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export CI_COMMAND="python tests/run.py"
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fi
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bash .dev_scripts/dockerci.sh
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if [ $? -ne 0 ]; then
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echo "Running unittest failed, please check the log!"
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exit -1
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fi
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fi
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if [ "$is_push" == "True" ]; then
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echo "Pushing image: $IMAGE_TO_BUILD"
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docker push $IMAGE_TO_BUILD
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fi
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