Files
modelscope/.dev_scripts/build_base_image.sh
mulin.lyh a780935317 torch1.11 and torch2.0.1 build script refactor
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13408751

* [to #51122016]feat: build image support torch1.x 2.x cuda11.3.0 11.7.1

* remove base  version

* env cudatookit-version

* build script merge

* torch 1.11.0 fix
2023-07-25 21:15:00 +08:00

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#!/bin/bash
# default values.
BASE_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04
BASE_GPU_CUDA113_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.3.0-cudnn8-devel
BASE_GPU_CUDA117_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.7.1-cudnn8-devel
MODELSCOPE_REPO_ADDRESS=reg.docker.alibaba-inc.com/modelscope/modelscope
python_version=3.7.13
torch_version=1.11.0
cuda_version=11.7.1
cudatoolkit_version=11.3
tensorflow_version=1.15.5
version=None
is_cpu=False
function usage(){
echo "usage: build.sh "
echo " --python=python_version set python version, default: $python_version"
echo " --cuda=cuda_version set cuda version,only[11.3.0, 11.7.1], fefault: $cuda_version"
echo " --torch=torch_version set pytorch version, fefault: $torch_version"
echo " --tensorflow=tensorflow_version set tensorflow version, default: $tensorflow_version"
echo " --test option for run test before push image, only push on ci test pass"
echo " --cpu option for build cpu version"
echo " --push option for push image to remote repo"
}
for i in "$@"; do
case $i in
--python=*)
python_version="${i#*=}"
shift
;;
--cuda=*)
cuda_version="${i#*=}"
shift # pytorch version
;;
--torch=*)
torch_version="${i#*=}"
shift # pytorch version
;;
--tensorflow=*)
tensorflow_version="${i#*=}"
shift # tensorflow version
;;
--version=*)
version="${i#*=}"
shift # version
;;
--cpu)
is_cpu=True
shift # is cpu image
;;
--push)
is_push=True
shift # option for push image to remote repo
;;
--help)
usage
exit 0
;;
-*|--*)
echo "Unknown option $i"
usage
exit 1
;;
*)
;;
esac
done
if [ "$cuda_version" == 11.3.0 ]; then
echo "Building base image cuda11.3.0"
BASE_GPU_IMAGE=$BASE_GPU_CUDA113_IMAGE
cudatoolkit_version=cu113
elif [ "$cuda_version" == 11.7.1 ]; then
echo "Building base image cuda11.7.1"
cudatoolkit_version=cu117
BASE_GPU_IMAGE=$BASE_GPU_CUDA117_IMAGE
else
echo "Unsupport cuda version: $cuda_version"
exit 1
fi
if [ "$is_cpu" == "True" ]; then
export BASE_IMAGE=$BASE_CPU_IMAGE
base_tag=ubuntu20.04
export USE_GPU=False
else
export BASE_IMAGE=$BASE_GPU_IMAGE
base_tag=ubuntu20.04-cuda$cuda_version
export USE_GPU=True
fi
if [[ $python_version == 3.7* ]]; then
base_tag=$base_tag-py37
elif [[ $python_version == 3.8* ]]; then
base_tag=$base_tag-py38
else
echo "Unsupport python version: $python_version"
exit 1
fi
target_image_tag=$base_tag-torch$torch_version-tf$tensorflow_version-base
export IMAGE_TO_BUILD=$MODELSCOPE_REPO_ADDRESS:$target_image_tag
export PYTHON_VERSION=$python_version
export TORCH_VERSION=$torch_version
export CUDATOOLKIT_VERSION=$cudatoolkit_version
export TENSORFLOW_VERSION=$tensorflow_version
echo -e "Building image with:\npython$python_version\npytorch$torch_version\ntensorflow:$tensorflow_version\ncudatoolkit:$cudatoolkit_version\ncpu:$is_cpu\n"
docker_file_content=`cat docker/Dockerfile.ubuntu_base`
printf "$docker_file_content" > Dockerfile
while true
do
docker build -t $IMAGE_TO_BUILD \
--build-arg USE_GPU \
--build-arg BASE_IMAGE \
--build-arg PYTHON_VERSION \
--build-arg TORCH_VERSION \
--build-arg CUDATOOLKIT_VERSION \
--build-arg TENSORFLOW_VERSION \
-f Dockerfile .
if [ $? -eq 0 ]; then
echo "Image build done"
break
else
echo "Running docker build command error, we will retry"
fi
done
if [ "$is_push" == "True" ]; then
echo "Pushing image: $IMAGE_TO_BUILD"
docker push $IMAGE_TO_BUILD
fi