mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-16 16:27:45 +01:00
modify auto gptq and vllm env
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/14790283 * upgrade to python3.10 * modify auto gptq and vllm env * fix lint issue * Merge remote-tracking branch 'origin/master' into python10_support * python310 support * build from repo * add commit id force install modelscope every build * add commit id force install modelscope every build * fix cpu build issue * fix datahub error message * Merge branch 'python10_support' of gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib into python10_support * add --no-cache-dir install auto_gptq
This commit is contained in:
mulin.lyh
@@ -1,19 +1,24 @@
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#!/bin/bash
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# default values.
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BASE_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04
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BASE_CPU_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu
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BASE_GPU_CUDA113_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.3.0-cudnn8-devel
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BASE_GPU_CUDA117_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.7.1-cudnn8-devel
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BASE_GPU_CUDA118_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:20.04-cuda11.8.0-cudnn8-devel
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BASE_GPU_CUDA121_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:22.04-cuda11.8.0-cudnn8-devel
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BASE_GPU_CUDA122_IMAGE=reg.docker.alibaba-inc.com/modelscope/ubuntu:22.04-cuda11.2.2-cudnn8-devel
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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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cuda_version=11.7.1
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cudatoolkit_version=11.3
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tensorflow_version=1.15.5
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os_version=20.04
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version=None
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is_cpu=False
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is_dryrun=False
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function usage(){
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echo "usage: build.sh "
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echo " --os=ubuntu_version set ubuntu os version, default: 20.04"
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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: $torch_version"
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@@ -21,9 +26,14 @@ function usage(){
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echo " --test option for run test before push image, only push on ci test pass"
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echo " --cpu option for build cpu version"
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echo " --push option for push image to remote repo"
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echo " --dryrun create Dockerfile not build"
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}
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for i in "$@"; do
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case $i in
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--os=*)
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os_version="${i#*=}"
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shift
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;;
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--python=*)
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python_version="${i#*=}"
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shift
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@@ -52,6 +62,10 @@ for i in "$@"; do
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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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--dryrun)
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is_dryrun=True
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shift
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;;
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--help)
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usage
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exit 0
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@@ -68,7 +82,7 @@ done
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if [ "$cuda_version" == 11.3.0 ]; then
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echo "Building base image cuda11.3.0"
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BASE_GPU_IMAGE=$BASE_GPU_CUDA113_IMAGE
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BASE_GPU_IMAGE=$os_version-$cudatoolkit_version-cudnn8-devel
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cudatoolkit_version=cu113
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elif [ "$cuda_version" == 11.7.1 ]; then
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echo "Building base image cuda11.7.1"
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@@ -77,43 +91,55 @@ elif [ "$cuda_version" == 11.7.1 ]; then
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elif [ "$cuda_version" == 11.8.0 ]; then
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echo "Building base image cuda11.8.0"
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cudatoolkit_version=cu118
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BASE_GPU_IMAGE=$BASE_GPU_CUDA118_IMAGE
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BASE_GPU_IMAGE=$MODELSCOPE_REPO_ADDRESS:$os_version-cuda$cuda_version-cudnn8-devel
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elif [ "$cuda_version" == 12.1.0 ]; then
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cudatoolkit_version=cu121
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BASE_GPU_IMAGE=$BASE_GPU_CUDA121_IMAGE
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else
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echo "Unsupport cuda version: $cuda_version"
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exit 1
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fi
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if [ "$is_cpu" == "True" ]; then
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export BASE_IMAGE=$BASE_CPU_IMAGE
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base_tag=ubuntu20.04
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export BASE_IMAGE=$BASE_CPU_IMAGE:$os_version
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base_tag=ubuntu$os_version
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export USE_GPU=False
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else
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export BASE_IMAGE=$BASE_GPU_IMAGE
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base_tag=ubuntu20.04-cuda$cuda_version
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base_tag=ubuntu$os_version-cuda$cuda_version
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export USE_GPU=True
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fi
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if [[ $python_version == 3.7* ]]; then
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base_tag=$base_tag-py37
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elif [[ $python_version == 3.8* ]]; then
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base_tag=$base_tag-py38
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elif [[ $python_version == 3.10* ]]; then
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base_tag=$base_tag-py310
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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-base
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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 "From: $BASE_IMAGE build: $target_image_tag"
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echo -e "Building image with:\npython$python_version\npytorch$torch_version\ntensorflow:$tensorflow_version\ncudatoolkit:$cudatoolkit_version\ncpu:$is_cpu\n"
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docker_file_content=`cat docker/Dockerfile.ubuntu_base`
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printf "$docker_file_content" > Dockerfile
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if [ "$is_dryrun" == "True" ]; then
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echo 'Dockerfile created'
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exit 0
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fi
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# DOCKER_BUILDKIT=0
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while true
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do
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docker build -t $IMAGE_TO_BUILD \
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DOCKER_BUILDKIT=0 docker build -t $IMAGE_TO_BUILD \
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--build-arg USE_GPU \
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--build-arg BASE_IMAGE \
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--build-arg PYTHON_VERSION \
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@@ -44,6 +44,8 @@ for i in "$@"; do
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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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@@ -130,6 +132,17 @@ elif [[ $python_version == 3.8* ]]; then
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export BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda$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: $python_version"
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exit 1
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@@ -150,7 +163,8 @@ echo -e "Building image with:\npython$python_version\npytorch$torch_version\nten
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docker_file_content=`cat docker/Dockerfile.ubuntu`
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if [ "$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="${docker_file_content} \nRUN pip install --no-cache-dir -U funasr transformers && pip install --no-cache-dir https://modelscope.oss-cn-beijing.aliyuncs.com/releases/build/modelscope-$modelscope_version-py3-none-any.whl "
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docker_file_content="${docker_file_content} \nRUN pip install --no-cache-dir -U adaseq pai-easycv ms_swift funasr 'transformers<4.35.0'"
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docker_file_content="${docker_file_content} \nRUN export COMMIT_ID=$CIS_ENV_COMMIT_ID && cd /tmp && GIT_LFS_SKIP_SMUDGE=1 git clone -b $CIS_ENV_BRANCH --single-branch $REPO_URL && cd MaaS-lib && python setup.py install && cd / && rm -fr /tmp/MaaS-lib"
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fi
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echo "$is_dsw"
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if [ "$is_dsw" == "False" ]; then
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@@ -160,12 +174,6 @@ else
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docker_file_content="${docker_file_content} \nENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope"
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# pre compile extension
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docker_file_content="${docker_file_content} \nRUN python -c 'from modelscope.utils.pre_compile import pre_compile_all;pre_compile_all()'"
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if [ "$is_cpu" == "True" ]; then
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echo 'build cpu image'
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else
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# fix easycv extension and tinycudann conflict.
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docker_file_content="${docker_file_content} \nRUN bash /tmp/install_tiny_cuda_nn.sh"
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fi
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fi
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if [ "$is_ci_test" == "True" ]; then
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echo "Building CI image, uninstall modelscope"
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@@ -175,7 +183,7 @@ printf "$docker_file_content" > Dockerfile
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while true
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do
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docker build -t $IMAGE_TO_BUILD \
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DOCKER_BUILDKIT=0 docker build -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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@@ -1,10 +1,47 @@
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ARG BASE_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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FROM $BASE_IMAGE
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RUN apt-get update && apt-get install -y iputils-ping net-tools iproute2 && \
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RUN apt-get update && \
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apt-get install -y libsox-dev unzip zip iputils-ping telnet && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# install modelscope
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# install jupyter plugin
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RUN mkdir -p /root/.local/share/jupyter/labextensions/ && \
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cp -r /tmp/resources/jupyter_plugins/* /root/.local/share/jupyter/labextensions/
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COPY docker/scripts/modelscope_env_init.sh /usr/local/bin/ms_env_init.sh
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# python3.8 pip install git+https://github.com/jin-s13/xtcocoapi.git@v1.13
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# pip install git+https://github.com/gatagat/lap.git@v0.4.0
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RUN pip install --no-cache-dir numpy 'cython<=0.29.36' funtextprocessing kwsbp==0.0.6 safetensors typeguard==2.13.3 scikit-learn librosa==0.9.2 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
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RUN pip install --no-cache-dir adaseq text2sql_lgesql==1.3.0 \
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git+https://github.com/jin-s13/xtcocoapi.git@v1.14 \
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git+https://github.com/gatagat/lap.git@v0.4.0 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html --force --no-deps
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RUN mv /opt/conda/compiler_compat/ld /opt/conda/compiler_compat/ldbk && \
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pip install --no-cache-dir mpi4py paint_ldm \
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mmcls>=0.21.0 mmdet>=2.25.0 decord>=0.6.0 \
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ipykernel fasttext fairseq deepspeed -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
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ARG USE_GPU
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RUN if [ "$USE_GPU" = "True" ] ; then \
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CUDA_HOME=/usr/local/cuda TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6 8.9 9.0" pip install --no-cache-dir 'git+https://github.com/facebookresearch/detectron2.git'; \
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else \
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echo 'cpu unsupport detectron2'; \
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fi
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# torchmetrics==0.11.4 for ofa
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RUN if [ "$USE_GPU" = "True" ] ; then \
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pip install --no-cache-dir torchsde jupyterlab torchmetrics==0.11.4 tiktoken transformers_stream_generator bitsandbytes basicsr optimum && \
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pip install --no-cache-dir auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ && \
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pip install --no-cache-dir -U xformers --index-url https://download.pytorch.org/whl/cu118 && \
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pip install --no-cache-dir flash_attn==2.3.3+torch2.1cu118 tinycudann==1.7+cu118 vllm==0.2.1+cu118torch2.1 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
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else \
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echo 'cpu unsupport vllm auto-gptq'; \
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fi
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COPY requirements /var/modelscope
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r /var/modelscope/framework.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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@@ -16,47 +53,10 @@ RUN pip install --no-cache-dir --upgrade pip && \
|
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pip install --no-cache-dir -r /var/modelscope/tests.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
|
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pip cache purge
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|
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# install jupyter plugin
|
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RUN mkdir -p /root/.local/share/jupyter/labextensions/ && \
|
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cp -r /tmp/resources/jupyter_plugins/* /root/.local/share/jupyter/labextensions/
|
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|
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COPY docker/scripts/modelscope_env_init.sh /usr/local/bin/ms_env_init.sh
|
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# python3.8 pip install git+https://github.com/jin-s13/xtcocoapi.git@v1.13
|
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# pip install git+https://github.com/gatagat/lap.git@v0.4.0
|
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RUN pip install --no-cache-dir text2sql_lgesql==1.3.0 \
|
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git+https://github.com/jin-s13/xtcocoapi.git@v1.13 \
|
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git+https://github.com/gatagat/lap.git@v0.4.0 \
|
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detectron2==0.3 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html --force --no-deps
|
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|
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RUN pip install --no-cache-dir mpi4py paint_ldm \
|
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mmcls>=0.21.0 mmdet>=2.25.0 decord>=0.6.0 pai-easycv ms_swift \
|
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ipykernel fasttext fairseq deepspeed -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
|
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|
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ARG USE_GPU
|
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# for cpu install cpu version faiss, faiss depends on blas lib, we install libopenblas TODO rename gpu or cpu version faiss
|
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RUN if [ "$USE_GPU" = "True" ] ; then \
|
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pip install --no-cache-dir funtextprocessing kwsbp==0.0.6 faiss==1.7.2 safetensors typeguard==2.13.3 scikit-learn librosa==0.9.2 funasr -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
|
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else \
|
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pip install --no-cache-dir funtextprocessing kwsbp==0.0.6 https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/faiss-1.7.2-py37-none-linux_x86_64.whl safetensors typeguard==2.13.3 scikit-learn librosa==0.9.2 funasr -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
|
||||
fi
|
||||
|
||||
RUN pip install --no-cache-dir wenetruntime==1.11.0 adaseq --no-deps
|
||||
COPY examples /modelscope/examples
|
||||
|
||||
# for pai-easycv setup compatiblity issue
|
||||
ENV SETUPTOOLS_USE_DISTUTILS=stdlib
|
||||
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
CUDA_HOME=/usr/local/cuda TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6" pip install --no-cache-dir 'git+https://github.com/facebookresearch/detectron2.git'; \
|
||||
else \
|
||||
echo 'cpu unsupport detectron2'; \
|
||||
fi
|
||||
|
||||
# torchmetrics==0.11.4 for ofa
|
||||
RUN pip install --no-cache-dir jupyterlab torchmetrics==0.11.4 tiktoken transformers_stream_generator 'protobuf<=3.20.0' bitsandbytes basicsr
|
||||
COPY docker/scripts/install_flash_attension.sh /tmp/install_flash_attension.sh
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_flash_attension.sh; \
|
||||
else \
|
||||
echo 'cpu unsupport flash attention'; \
|
||||
fi
|
||||
ENV VLLM_USE_MODELSCOPE=True
|
||||
RUN cp /tmp/resources/conda.aliyun ~/.condarc && \
|
||||
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
|
||||
pip config set install.trusted-host mirrors.aliyun.com && \
|
||||
cp /tmp/resources/ubuntu2204.aliyun /etc/apt/sources.list
|
||||
|
||||
@@ -9,10 +9,11 @@ SHELL ["/bin/bash", "-c"]
|
||||
COPY docker/rcfiles /tmp/resources
|
||||
COPY docker/jupyter_plugins /tmp/resources/jupyter_plugins
|
||||
RUN apt-get update && apt-get install -y --reinstall ca-certificates && \
|
||||
apt-get clean && \
|
||||
cp /tmp/resources/sources.list.aliyun /etc/apt/sources.list && \
|
||||
apt-get update && \
|
||||
apt-get install -y locales wget git strace gdb sox libopenmpi-dev curl \
|
||||
apt-get install -y apt-utils openssh-server locales wget git strace gdb sox libopenmpi-dev curl \
|
||||
iputils-ping net-tools iproute2 autoconf automake gperf libre2-dev libssl-dev \
|
||||
libtool libcurl4-openssl-dev libb64-dev libgoogle-perftools-dev patchelf \
|
||||
rapidjson-dev scons software-properties-common pkg-config unzip zlib1g-dev \
|
||||
libarchive-dev libxml2-dev libnuma-dev \
|
||||
libgeos-dev strace vim ffmpeg libsm6 tzdata language-pack-zh-hans \
|
||||
ttf-wqy-microhei ttf-wqy-zenhei xfonts-wqy libxext6 build-essential ninja-build && \
|
||||
wget https://packagecloud.io/github/git-lfs/packages/debian/bullseye/git-lfs_3.2.0_amd64.deb/download -O ./git-lfs_3.2.0_amd64.deb && \
|
||||
@@ -27,33 +28,17 @@ RUN apt-get update && apt-get install -y --reinstall ca-certificates && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
ENV LANG=zh_CN.UTF-8 LANGUAGE=zh_CN.UTF-8 LC_ALL=zh_CN.UTF-8
|
||||
RUN wget -O /tmp/boost.tar.gz https://boostorg.jfrog.io/artifactory/main/release/1.80.0/source/boost_1_80_0.tar.gz && (cd /tmp && tar xzf boost.tar.gz) && mv /tmp/boost_1_80_0/boost /usr/include/boost
|
||||
|
||||
#install and config python
|
||||
ARG PYTHON_VERSION=3.7.13
|
||||
ARG PYTHON_VERSION=3.10.13
|
||||
# Miniconda3-py37_23.1.0-1-Linux-x86_64.sh is last python3.7 version
|
||||
RUN if [ "$PYTHON_VERSION" = "3.7.13" ] ; then \
|
||||
wget --quiet https://mirrors.aliyun.com/anaconda/miniconda/Miniconda3-py37_23.1.0-1-Linux-x86_64.sh -O ./miniconda.sh && \
|
||||
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py310_23.9.0-0-Linux-x86_64.sh -O ./miniconda.sh && \
|
||||
/bin/bash miniconda.sh -b -p /opt/conda && \
|
||||
rm -f miniconda.sh && \
|
||||
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
|
||||
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
|
||||
cp /tmp/resources/conda.tuna ~/.condarc && \
|
||||
source /root/.bashrc && \
|
||||
conda install --yes python==${PYTHON_VERSION} && \
|
||||
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
|
||||
pip config set install.trusted-host mirrors.aliyun.com;\
|
||||
else \
|
||||
wget --quiet https://mirrors.aliyun.com/anaconda/miniconda/Miniconda3-latest-Linux-${arch}.sh -O ./miniconda.sh && \
|
||||
/bin/bash miniconda.sh -b -p /opt/conda && \
|
||||
rm -f miniconda.sh && \
|
||||
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
|
||||
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
|
||||
cp /tmp/resources/conda.tuna ~/.condarc && \
|
||||
source /root/.bashrc && \
|
||||
conda install --yes python==${PYTHON_VERSION} && \
|
||||
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
|
||||
pip config set install.trusted-host mirrors.aliyun.com;\
|
||||
fi
|
||||
source /root/.bashrc
|
||||
|
||||
ARG USE_GPU=True
|
||||
|
||||
@@ -85,12 +70,6 @@ RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
fi \
|
||||
fi
|
||||
|
||||
# mmcv-full<=1.7.0 for mmdet3d compatible
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
CUDA_HOME=/usr/local/cuda TORCH_CUDA_ARCH_LIST="5.0 5.2 6.0 6.1 7.0 7.5 8.0 8.6" MMCV_WITH_OPS=1 MAX_JOBS=8 FORCE_CUDA=1 pip install --no-cache-dir 'mmcv-full<=1.7.0' && pip cache purge; \
|
||||
else \
|
||||
MMCV_WITH_OPS=1 MAX_JOBS=8 pip install --no-cache-dir 'mmcv-full<=1.7.0' && pip cache purge; \
|
||||
fi
|
||||
|
||||
# default shell bash
|
||||
ENV SHELL=/bin/bash
|
||||
@@ -98,12 +77,25 @@ ENV SHELL=/bin/bash
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
pip install dgl -f https://data.dgl.ai/wheels/$CUDATOOLKIT_VERSION/repo.html; \
|
||||
else \
|
||||
pip install --no-cache-dir dgl==0.9.0 dglgo -f https://data.dgl.ai/wheels/repo.html; \
|
||||
pip install --no-cache-dir dgl dglgo -f https://data.dgl.ai/wheels/repo.html; \
|
||||
fi
|
||||
|
||||
# copy install scripts
|
||||
COPY docker/scripts/install_unifold.sh docker/scripts/install_colmap.sh docker/scripts/install_pytorch3d_nvdiffrast.sh docker/scripts/install_tiny_cuda_nn.sh docker/scripts/install_apex.sh /tmp/
|
||||
|
||||
# 3d supports
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_colmap.sh; \
|
||||
else \
|
||||
echo 'cpu unsupport colmap'; \
|
||||
fi
|
||||
# install pytorch3d
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_pytorch3d_nvdiffrast.sh; \
|
||||
else \
|
||||
echo 'cpu unsupport pytorch3d nvdiffrast'; \
|
||||
fi
|
||||
|
||||
# for uniford
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_unifold.sh; \
|
||||
@@ -112,28 +104,11 @@ RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
fi
|
||||
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
export TORCH_CUDA_ARCH_LIST="6.0;6.1;7.0;7.5;8.0;8.6+PTX" && pip install --no-cache-dir git+https://github.com/gxd1994/Pointnet2.PyTorch.git@master#subdirectory=pointnet2; \
|
||||
export TORCH_CUDA_ARCH_LIST="6.0;6.1;7.0;7.5;8.0;8.9;9.0;8.6+PTX" && pip install --no-cache-dir git+https://github.com/gxd1994/Pointnet2.PyTorch.git@master#subdirectory=pointnet2; \
|
||||
else \
|
||||
echo 'cpu unsupport Pointnet2'; \
|
||||
fi
|
||||
|
||||
# 3d supports
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_colmap.sh; \
|
||||
else \
|
||||
echo 'cpu unsupport colmap'; \
|
||||
fi
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_tiny_cuda_nn.sh \
|
||||
else \
|
||||
echo 'cpu unsupport tiny_cudann'; \
|
||||
fi
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_pytorch3d_nvdiffrast.sh; \
|
||||
else \
|
||||
echo 'cpu unsupport pytorch3d nvdiffrast'; \
|
||||
fi
|
||||
# end of 3D
|
||||
# install apex after deepspeed
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
bash /tmp/install_apex.sh; \
|
||||
@@ -141,4 +116,10 @@ RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
echo 'cpu unsupport apex'; \
|
||||
fi
|
||||
|
||||
RUN if [ "$USE_GPU" = "True" ] ; then \
|
||||
pip install --no-cache-dir https://modelscope.oss-cn-beijing.aliyuncs.com/packages/mmcv_full-1.7.0-cp310-cp310-linux_x86_64.whl; \
|
||||
else \
|
||||
pip install --no-cache-dir mmcv_full==1.7.0+torch2.1cpu -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
|
||||
fi
|
||||
RUN conda install imageio-ffmpeg -c conda-forge -y
|
||||
ENTRYPOINT []
|
||||
|
||||
14
docker/rcfiles/conda.aliyun
Normal file
14
docker/rcfiles/conda.aliyun
Normal file
@@ -0,0 +1,14 @@
|
||||
channels:
|
||||
- defaults
|
||||
show_channel_urls: true
|
||||
default_channels:
|
||||
- http://mirrors.aliyun.com/anaconda/pkgs/main
|
||||
- http://mirrors.aliyun.com/anaconda/pkgs/r
|
||||
- http://mirrors.aliyun.com/anaconda/pkgs/msys2
|
||||
custom_channels:
|
||||
conda-forge: http://mirrors.aliyun.com/anaconda/cloud
|
||||
msys2: http://mirrors.aliyun.com/anaconda/cloud
|
||||
bioconda: http://mirrors.aliyun.com/anaconda/cloud
|
||||
menpo: http://mirrors.aliyun.com/anaconda/cloud
|
||||
pytorch: http://mirrors.aliyun.com/anaconda/cloud
|
||||
simpleitk: http://mirrors.aliyun.com/anaconda/cloud
|
||||
@@ -1,15 +0,0 @@
|
||||
channels:
|
||||
- defaults
|
||||
show_channel_urls: true
|
||||
default_channels:
|
||||
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
|
||||
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
|
||||
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
|
||||
custom_channels:
|
||||
conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
|
||||
@@ -1,2 +0,0 @@
|
||||
[global]
|
||||
index-url=https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
10
docker/rcfiles/ubuntu2204.aliyun
Normal file
10
docker/rcfiles/ubuntu2204.aliyun
Normal file
@@ -0,0 +1,10 @@
|
||||
deb http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
|
||||
#deb-src http://mirrors.aliyun.com/ubuntu/ jammy main restricted universe multiverse
|
||||
deb http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
|
||||
#deb-src http://mirrors.aliyun.com/ubuntu/ jammy-security main restricted universe multiverse
|
||||
deb http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
|
||||
#deb-src http://mirrors.aliyun.com/ubuntu/ jammy-updates main restricted universe multiverse
|
||||
#deb http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
|
||||
#deb-src http://mirrors.aliyun.com/ubuntu/ jammy-proposed main restricted universe multiverse
|
||||
deb http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse
|
||||
#deb-src http://mirrors.aliyun.com/ubuntu/ jammy-backports main restricted universe multiverse
|
||||
@@ -2,6 +2,6 @@ export MAX_JOBS=16 \
|
||||
&& git clone https://github.com/NVIDIA/apex \
|
||||
&& cd apex \
|
||||
&& git checkout 6bd01c4b99a84648ad5e5238a959735e6936c813 \
|
||||
&& TORCH_CUDA_ARCH_LIST="6.0;6.1;6.2;7.0;7.5;8.0;8.6" pip install -v --disable-pip-version-check --no-cache --global-option="--cpp_ext" --global-option="--cuda_ext" ./ \
|
||||
&& TORCH_CUDA_ARCH_LIST="6.0;6.1;6.2;7.0;7.5;8.0;8.9;9.0;8.6+PTX" pip install -v --disable-pip-version-check --no-cache --global-option="--cpp_ext" --global-option="--cuda_ext" ./ \
|
||||
&& cd .. \
|
||||
&& rm -rf apex
|
||||
|
||||
@@ -8,7 +8,7 @@ wget -q https://cmake.org/files/v3.25/cmake-3.25.2-linux-x86_64.sh \
|
||||
&& export CMAKE_BUILD_PARALLEL_LEVEL=36 \
|
||||
&& export MAX_JOBS=16 \
|
||||
&& export CUDA_ARCHITECTURES="all" \
|
||||
&& git clone --depth 1 --branch 3.8 https://github.com/colmap/colmap.git \
|
||||
&& git clone https://github.com/colmap/colmap.git \
|
||||
&& cd colmap \
|
||||
&& mkdir build \
|
||||
&& cd build \
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
git clone -b v2.3.2 https://github.com/Dao-AILab/flash-attention && \
|
||||
cd flash-attention && python setup.py install && \
|
||||
git clone -b v2.3.3 https://github.com/Dao-AILab/flash-attention && \
|
||||
cd flash-attention && MAX_JOBS=46 python setup.py install && \
|
||||
cd .. && \
|
||||
rm -rf flash-attention
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
export CMAKE_BUILD_PARALLEL_LEVEL=36 \
|
||||
&& export MAX_JOBS=36 \
|
||||
&& export CMAKE_CUDA_ARCHITECTURES="50;52;60;61;70;75;80;86" \
|
||||
&& export CMAKE_CUDA_ARCHITECTURES="50;52;60;61;70;75;80;8.6+PTX;87;89;90" \
|
||||
&& export TORCH_CUDA_ARCH_LIST="5.0;5.2;6.0;6.1;7.0;7.5;8.0;8.6+PTX;8.7;8.9;9.0" \
|
||||
&& git clone --branch 2.1.0 --recursive https://github.com/NVIDIA/thrust.git \
|
||||
&& cd thrust \
|
||||
&& mkdir build \
|
||||
@@ -10,7 +11,11 @@ export CMAKE_BUILD_PARALLEL_LEVEL=36 \
|
||||
&& cd ../.. \
|
||||
&& rm -rf thrust \
|
||||
&& pip install --no-cache-dir fvcore iopath \
|
||||
&& pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable" \
|
||||
&& curl -LO https://github.com/NVIDIA/cub/archive/2.1.0.tar.gz \
|
||||
&& tar xzf 2.1.0.tar.gz \
|
||||
&& export CUB_HOME=$PWD/cub-2.1.0 \
|
||||
&& FORCE_CUDA=1 pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable" \
|
||||
&& rm -fr 2.1.0.tar.gz $PWD/cub-2.1.0 \
|
||||
&& apt-get update \
|
||||
&& apt-get install -y --no-install-recommends pkg-config libglvnd0 libgl1 libglx0 libegl1 libgles2 libglvnd-dev libgl1-mesa-dev libegl1-mesa-dev libgles2-mesa-dev -y \
|
||||
&& git clone https://github.com/NVlabs/nvdiffrast.git \
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
export CMAKE_BUILD_PARALLEL_LEVEL=36 && export MAX_JOBS=36 && export TCNN_CUDA_ARCHITECTURES="50;52;60;61;70;75;80;86" \
|
||||
export CMAKE_BUILD_PARALLEL_LEVEL=36 && export MAX_JOBS=36 && export TCNN_CUDA_ARCHITECTURES="50;52;60;61;70;75;80;89;90;86" \
|
||||
&& git clone --recursive https://github.com/nvlabs/tiny-cuda-nn \
|
||||
&& cd tiny-cuda-nn \
|
||||
&& git checkout v1.6 \
|
||||
&& cd bindings/torch \
|
||||
&& python setup.py install \
|
||||
&& cd ../../.. \
|
||||
|
||||
@@ -600,7 +600,7 @@ class HubApi:
|
||||
cookies = ModelScopeConfig.get_cookies()
|
||||
r = self.session.get(datahub_url, cookies=cookies)
|
||||
resp = r.json()
|
||||
datahub_raise_on_error(datahub_url, resp)
|
||||
datahub_raise_on_error(datahub_url, resp, r)
|
||||
dataset_id = resp['Data']['Id']
|
||||
dataset_type = resp['Data']['Type']
|
||||
return dataset_id, dataset_type
|
||||
@@ -613,7 +613,7 @@ class HubApi:
|
||||
cookies=cookies,
|
||||
headers=self.builder_headers(self.headers))
|
||||
resp = r.json()
|
||||
datahub_raise_on_error(datahub_url, resp)
|
||||
datahub_raise_on_error(datahub_url, resp, r)
|
||||
file_list = resp['Data']
|
||||
if file_list is None:
|
||||
raise NotExistError(
|
||||
@@ -866,7 +866,7 @@ class HubApi:
|
||||
cookies=cookies,
|
||||
headers={'user-agent': ModelScopeConfig.get_user_agent()})
|
||||
resp = r.json()
|
||||
datahub_raise_on_error(url, resp)
|
||||
datahub_raise_on_error(url, resp, r)
|
||||
return resp['Data']
|
||||
|
||||
def dataset_download_statistics(self, dataset_name: str, namespace: str, use_streaming: bool) -> None:
|
||||
|
||||
@@ -117,12 +117,13 @@ def raise_on_error(rsp):
|
||||
raise RequestError(rsp['Message'])
|
||||
|
||||
|
||||
def datahub_raise_on_error(url, rsp):
|
||||
def datahub_raise_on_error(url, rsp, http_response: requests.Response):
|
||||
"""If response error, raise exception
|
||||
|
||||
Args:
|
||||
url (str): The request url
|
||||
rsp (HTTPResponse): The server response.
|
||||
http_response: the origin http response.
|
||||
|
||||
Raises:
|
||||
RequestError: the http request error.
|
||||
@@ -133,7 +134,7 @@ def datahub_raise_on_error(url, rsp):
|
||||
if rsp.get('Code') == HTTPStatus.OK:
|
||||
return True
|
||||
else:
|
||||
request_id = get_request_id(rsp)
|
||||
request_id = get_request_id(http_response)
|
||||
raise RequestError(
|
||||
f"Url = {url}, Request id={request_id} Message = {rsp.get('Message')},\
|
||||
Please specify correct dataset_name and namespace.")
|
||||
|
||||
Reference in New Issue
Block a user