Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118  docker.io/oneflowinc/onediff:cu118

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118  docker.io/oneflowinc/onediff:cu118

Shell快速替换命令

sed -i 's#oneflowinc/onediff:cu118#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118  docker.io/oneflowinc/onediff:cu118'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118  docker.io/oneflowinc/onediff:cu118'

镜像构建历史

# 2024-09-20 21:14:15  2.60MB 执行命令并创建新的镜像层
RUN |2 ONEFLOW_PIP_INDEX=https://oneflow-pro.oss-cn-beijing.aliyuncs.com/branch/community/cu118 ONEFLOW_PACKAGE_NAME=oneflow==0.9.1.dev20240802+cu118 /bin/sh -c python3 -m pip install -e /src/onediff/onediff_diffusers_extensions # buildkit
                        
# 2024-09-20 21:14:07  200.01KB 执行命令并创建新的镜像层
RUN |2 ONEFLOW_PIP_INDEX=https://oneflow-pro.oss-cn-beijing.aliyuncs.com/branch/community/cu118 ONEFLOW_PACKAGE_NAME=oneflow==0.9.1.dev20240802+cu118 /bin/sh -c python3 -m pip install -e /src/onediff # buildkit
                        
# 2024-09-20 21:14:02  80.45MB 复制文件或目录到容器中
ADD . /src/onediff # buildkit
                        
# 2024-09-20 21:14:01  90.82MB 执行命令并创建新的镜像层
RUN |2 ONEFLOW_PIP_INDEX=https://oneflow-pro.oss-cn-beijing.aliyuncs.com/branch/community/cu118 ONEFLOW_PACKAGE_NAME=oneflow==0.9.1.dev20240802+cu118 /bin/sh -c python3 -m pip install "torch" "transformers==4.27.1" "diffusers[torch]==0.19.3" # buildkit
                        
# 2024-09-20 21:13:51  6.85GB 执行命令并创建新的镜像层
RUN |2 ONEFLOW_PIP_INDEX=https://oneflow-pro.oss-cn-beijing.aliyuncs.com/branch/community/cu118 ONEFLOW_PACKAGE_NAME=oneflow==0.9.1.dev20240802+cu118 /bin/sh -c pip install -f ${ONEFLOW_PIP_INDEX} ${ONEFLOW_PACKAGE_NAME} # buildkit
                        
# 2024-09-20 21:13:51  0.00B 定义构建参数
ARG ONEFLOW_PACKAGE_NAME=oneflow
                        
# 2024-09-20 21:13:51  0.00B 定义构建参数
ARG ONEFLOW_PIP_INDEX
                        
# 2023-08-07 08:21:52  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=bb0476c6ce5f374d5bb697427f59dd429c527a37
                        
# 2023-08-07 08:21:52  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF
                        
# 2023-08-07 08:21:52  0.00B 添加元数据标签
LABEL com.nvidia.build.id=66128610
                        
# 2023-08-07 08:21:52  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=66128610
                        
# 2023-08-07 08:21:52  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID
                        
# 2023-08-07 08:21:52  720.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-08-07 08:21:52  63.09KB 执行命令并创建新的镜像层
RUN |1 PYVER=3.10 /bin/sh -c ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib  && echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf  && ldconfig  && rm -f ${_CUDA_COMPAT_PATH}/lib # buildkit
                        
# 2023-08-07 08:21:52  0.00B 设置环境变量 CUDA_MODULE_LOADING
ENV CUDA_MODULE_LOADING=LAZY
                        
# 2023-08-07 08:21:52  0.00B 设置环境变量 TORCH_CUDNN_V8_API_ENABLED
ENV TORCH_CUDNN_V8_API_ENABLED=1
                        
# 2023-08-07 08:21:52  627.78MB 执行命令并创建新的镜像层
RUN |1 PYVER=3.10 /bin/sh -c env MAX_JOBS=1 pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION} # buildkit
                        
# 2023-08-07 07:05:34  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/lib/python3.10/dist-packages/torch_tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
                        
# 2023-08-07 07:05:34  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/lib/python3.10/dist-packages/torch/lib:/usr/local/lib/python3.10/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-08-07 07:05:34  44.54MB 执行命令并创建新的镜像层
RUN |1 PYVER=3.10 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl # buildkit
                        
# 2023-08-07 07:02:22  0.00B 定义构建参数
ARG PYVER
                        
# 2023-08-07 07:02:22  143.95MB 复制新文件或目录到容器中
COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
                        
# 2023-08-07 07:02:22  10.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip --version && python -c 'import sys; print(sys.platform)'     && pip install --no-cache-dir nvidia-pyindex     && pip install --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple --no-cache-dir polygraphy==${POLYGRAPHY_VERSION}     && pip install --extra-index-url http://sqrl/dldata/pip-simple --trusted-host sqrl --no-cache-dir pytorch-quantization==2.1.2 # buildkit
                        
# 2023-08-07 07:02:06  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
                        
# 2023-08-07 07:02:06  6.10MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -x  && URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar  && FILE=$(wget -O - $URL | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal)  && wget $URL/$FILE -O - | tar -xz  && PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))')  && pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl  && pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl  && pip install TensorRT-*/uff/uff-*.whl  && mv /usr/src/tensorrt /opt  && ln -s /opt/tensorrt /usr/src/tensorrt  && rm -r TensorRT-*  && UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff  && sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/'     $UFF_PATH/converters/tensorflow/conversion_helpers.py  && chmod +x ${UFF_PATH}/bin/convert_to_uff.py  && ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff # buildkit
                        
# 2023-08-07 07:01:25  51.00MB 执行命令并创建新的镜像层
RUN /bin/sh -c chmod -R a+w . # buildkit
                        
# 2023-08-07 07:01:25  34.89MB 复制新文件或目录到容器中
COPY tutorials tutorials # buildkit
                        
# 2023-08-07 07:01:25  15.96MB 复制新文件或目录到容器中
COPY examples examples # buildkit
                        
# 2023-08-07 07:01:25  2.07KB 复制新文件或目录到容器中
COPY docker-examples docker-examples # buildkit
                        
# 2023-08-07 07:01:25  2.05KB 复制新文件或目录到容器中
COPY NVREADME.md README.md # buildkit
                        
# 2023-08-07 07:01:25  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2023-08-07 07:01:25  2.81GB 执行命令并创建新的镜像层
RUN /bin/sh -c find /rapids  -name "*-Linux.tar.gz" -exec     tar -C /usr --exclude="*.a" --exclude="bin/xgboost" --strip-components=1 -xvf {} \;  && find /rapids -name "*.whl"     ! -name "Pillow-*"     ! -name "certifi-*"     ! -name "protobuf-*" -exec     pip install --no-cache-dir {} +  && pip install --no-cache-dir networkx==2.6.3  && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so # buildkit
                        
# 2023-08-07 07:00:36  201.84KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir --disable-pip-version-check tabulate # buildkit
                        
# 2023-08-07 07:00:34  3.58MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip uninstall -y pillow  && cd /tmp  && git clone https://github.com/uploadcare/pillow-simd  && cd pillow-simd  && git fetch --all --tags --prune  && git checkout tags/9.2.0  && sed -i 's/DEBUG = False/DEBUG = True/' setup.py  && patch -p1 < /opt/pytorch/pil_9.3.0_CVE-2022-45199.patch  && if [[ $TARGETARCH = "amd64" ]] ; then CC="cc -mavx" pip install --no-cache-dir --disable-pip-version-check  . ; fi  && if [[ $TARGETARCH = "arm64" ]] ; then pip install --no-cache-dir --disable-pip-version-check  . ; fi  && rm -rf ../pillow-simd # buildkit
                        
# 2023-08-07 07:00:12  955.56MB 执行命令并创建新的镜像层
RUN /bin/sh -c ( cd vision && CFLAGS="-g0" FORCE_CUDA=1 pip install --no-cache-dir --no-build-isolation --disable-pip-version-check . )  && ( cd vision && cmake -Bbuild -H. -GNinja -DWITH_CUDA=1 -DCMAKE_PREFIX_PATH=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'` && cmake --build build --target install && rm -rf build )  && ( cd apex && CFLAGS="-g0" pip install --no-build-isolation --no-cache-dir --disable-pip-version-check --config-settings "--build-option=--cpp_ext --cuda_ext --bnp --xentropy --deprecated_fused_adam --deprecated_fused_lamb --fast_multihead_attn --distributed_lamb --fast_layer_norm --transducer --distributed_adam --fmha --fast_bottleneck --nccl_p2p --peer_memory --permutation_search --focal_loss --fused_conv_bias_relu --index_mul_2d --cudnn_gbn --group_norm" . )  && ( cd data && pip install --no-build-isolation --no-cache-dir --disable-pip-version-check --no-deps -v . )  && ( cd text && export TORCHDATA_VERSION="$(python -c 'import torchdata; print(torchdata.__version__)')" && pip install --no-build-isolation --no-cache-dir --disable-pip-version-check --no-deps -v . && unset TORCHDATA_VERSION )  && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-build-isolation --no-cache-dir --disable-pip-version-check . ) # buildkit
                        
# 2023-08-07 05:38:15  2.21KB 复制新文件或目录到容器中
COPY singularity/ /.singularity.d/ # buildkit
                        
# 2023-08-07 05:38:15  86.21MB 执行命令并创建新的镜像层
RUN /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//')  && pip install --disable-pip-version-check --no-cache-dir git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
                        
# 2023-08-07 05:37:53  0.00B 设置环境变量 COCOAPI_VERSION
ENV COCOAPI_VERSION=2.0+nv0.7.3
                        
# 2023-08-07 05:37:53  593.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DALI_PKG_SUFFIX="cuda${CUDA_VERSION%%.*}0"  && pip install --disable-pip-version-check --no-cache-dir                 --extra-index-url https://developer.download.nvidia.com/compute/redist                 --extra-index-url http://sqrl/dldata/pip-dali${DALI_URL_SUFFIX:-} --trusted-host sqrl         nvidia-dali-${DALI_PKG_SUFFIX}==${DALI_VERSION} # buildkit
                        
# 2023-08-07 05:37:43  253.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir /tmp/dist/*.whl # buildkit
                        
# 2023-08-07 05:34:07  63.62MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c pip install --no-cache-dir -v -r /opt/pytorch/pytorch/requirements.txt # buildkit
                        
# 2023-08-07 05:33:59  1.66GB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c cd pytorch &&     USE_CUPTI_SO=1     USE_KINETO=1     CMAKE_PREFIX_PATH="/usr/local"     NCCL_ROOT="/usr"     USE_SYSTEM_NCCL=1     USE_UCC=1     USE_SYSTEM_UCC=1     UCC_HOME="/opt/hpcx/ucc"     UCC_DIR="/opt/hpcx/ucc/lib/cmake/ucc"     UCX_HOME="/opt/hpcx/ucx"     UCX_DIR="/opt/hpcx/ucx/lib/cmake/ucx"     CFLAGS='-fno-gnu-unique'     DEFAULT_INTEL_MKL_DIR="/usr/local"     INTEL_MKL_DIR="/usr/local"     python setup.py install     && python setup.py clean # buildkit
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 USE_EXPERIMENTAL_CUDNN_V8_API
ENV USE_EXPERIMENTAL_CUDNN_V8_API=1
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 PYTORCH_HOME
ENV PYTORCH_HOME=/opt/pytorch/pytorch
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 TORCH_ALLOW_TF32_CUBLAS_OVERRIDE
ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX
                        
# 2023-08-07 05:00:50  0.00B 设置环境变量 UCC_CL_BASIC_TLS
ENV UCC_CL_BASIC_TLS=^sharp
                        
# 2023-08-07 05:00:50  320.74MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c cd magma-cuda &&     cmake -H. -Bbuild -DUSE_FORTRAN=OFF -DGPU_TARGET="All" -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-fPIC" -DCMAKE_C_FLAGS="-fPIC" -DCUDA_NVCC_FLAGS="-Xfatbin;-compress-all;-DHAVE_CUBLAS;-std=c++11;--threads=0;" -GNinja &&     cmake --build build --target install &&     rm -r ./build # buildkit
                        
# 2023-08-07 04:56:45  53.68MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c OPENCV_VERSION=4.7.0 &&     cd / &&     wget -q -O - https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - &&     cd /opencv-${OPENCV_VERSION} &&     cmake -GNinja -Bbuild -H.           -DWITH_CUDA=OFF -DWITH_1394=OFF           -DPYTHON3_PACKAGES_PATH="/usr/local/lib/python${PYVER}/dist-packages"           -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF -DWITH_IPP=OFF -DWITH_PROTOBUF=OFF &&     cmake --build build --target install &&     cd modules/python/package &&     pip install --no-cache-dir --disable-pip-version-check -v . &&     rm -rf /opencv-${OPENCV_VERSION} # buildkit
                        
# 2023-08-07 04:54:06  0.00B 声明容器运行时监听的端口
EXPOSE map[6006/tcp:{}]
                        
# 2023-08-07 04:54:06  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-08-07 04:54:06  0.00B 设置环境变量 TENSORBOARD_PORT
ENV TENSORBOARD_PORT=6006
                        
# 2023-08-07 04:54:06  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2023-08-07 04:54:06  427.00B 复制新文件或目录到容器中
COPY jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
                        
# 2023-08-07 04:54:06  161.30MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c pip install --disable-pip-version-check --no-cache-dir git+https://github.com/cliffwoolley/jupyter_tensorboard.git@0.2.0+nv21.03  && mkdir -p $NVM_DIR  && curl -Lo- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash  && source "$NVM_DIR/nvm.sh"  && nvm install 16.20.0 node  && jupyter labextension install jupyterlab_tensorboard  && jupyter serverextension enable jupyterlab  && pip install --no-cache-dir jupytext  && jupyter labextension install jupyterlab-jupytext@1.2.2  && ( cd /usr/local/share/jupyter/lab/staging       && npm prune --production )  && npm cache clean --force  && rm -rf /usr/local/share/.cache  && echo "source $NVM_DIR/nvm.sh" >> /etc/bash.bashrc  && mv /root/.jupyter/jupyter_notebook_config.json /usr/local/etc/jupyter/  && jupyter lab clean # buildkit
                        
# 2023-08-07 04:52:12  0.00B 设置环境变量 NVM_DIR
ENV NVM_DIR=/usr/local/nvm
                        
# 2023-08-07 04:52:12  27.51KB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c PATCHED_FILE=$(python -c "from tensorboard.plugins.core import core_plugin as _; print(_.__file__)") &&     sed -i 's/^\( *"--bind_all",\)$/\1 default=True,/' "$PATCHED_FILE" &&     test $(grep '^ *"--bind_all", default=True,$' "$PATCHED_FILE" | wc -l) -eq 1 # buildkit
                        
# 2023-08-07 04:52:12  176.33MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c git config --global url."https://github".insteadOf git://github &&     pip install --no-cache-dir notebook==6.4.10 jupyterlab==2.3.2 python-hostlist &&     pip install --no-cache-dir tensorboard==2.9.0 # buildkit
                        
# 2023-08-07 04:51:56  3.21GB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c pip install --no-cache-dir         numpy==1.22.2         scipy==1.8.1         "PyYAML>=5.4.1"         astunparse         typing_extensions         cffi         spacy         mock         tqdm         librosa==0.9.2         expecttest==0.1.3         hypothesis==5.35.1         xdoctest==1.0.2         pytest         pytest-xdist         pytest-rerunfailures         pytest-shard         pytest-flakefinder         pybind11         Cython         "regex>=2020.1.8"         protobuf==3.20.1 &&     if [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl==2021.1.1 mkl-include==2021.1.1 mkl-devel==2021.1.1 ; fi # buildkit
                        
# 2023-08-07 04:51:09  0.00B 设置环境变量 PIP_DEFAULT_TIMEOUT
ENV PIP_DEFAULT_TIMEOUT=100
                        
# 2023-08-07 04:51:09  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2023-08-07 04:51:09  0.00B 设置环境变量 PYTHONIOENCODING
ENV PYTHONIOENCODING=utf-8
                        
# 2023-08-07 04:51:09  2.18GB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2023-08-07 04:50:53  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2023-08-07 04:50:53  46.04MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c wget -q -O - https://github.com/xianyi/OpenBLAS/archive/refs/tags/v${OPENBLAS_VERSION}.tar.gz | tar -xzf - &&     cd OpenBLAS-${OPENBLAS_VERSION} &&     time make FC=gfortran USE_OPENMP=1 -j &&     time make PREFIX=/usr/local install &&     cd ../ &&     rm -rf OpenBLAS-${OPENBLAS_VERSION} # buildkit
                        
# 2023-08-07 04:49:56  0.00B 设置环境变量 OPENBLAS_VERSION
ENV OPENBLAS_VERSION=0.3.23
                        
# 2023-08-07 04:49:56  0.00B 设置工作目录为/opt
WORKDIR /opt
                        
# 2023-08-07 04:49:56  63.84MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c pip install --no-cache-dir pip setuptools &&     pip install --no-cache-dir cmake # buildkit
                        
# 2023-08-07 04:49:53  20.46MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2023-08-07 04:49:48  0.00B 设置环境变量 SETUPTOOLS_USE_DISTUTILS
ENV SETUPTOOLS_USE_DISTUTILS=stdlib
                        
# 2023-08-07 04:49:48  0.00B 设置环境变量 PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
                        
# 2023-08-07 04:49:48  366.41MB 执行命令并创建新的镜像层
RUN |4 NVIDIA_PYTORCH_VERSION=23.08 PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 TARGETARCH=amd64 PYVER=3.10 /bin/sh -c export PYSFX=`echo "$PYVER" | cut -c1-1` &&     export DEBIAN_FRONTEND=noninteractive &&     apt-get update &&     apt-get install -y --no-install-recommends         python$PYVER-dev         python$PYSFX         python$PYSFX-dev         python$PYSFX-distutils         python-is-python$PYSFX         autoconf         automake         libatlas-base-dev         libgoogle-glog-dev         libbz2-dev         libleveldb-dev         liblmdb-dev         libprotobuf-dev         libsnappy-dev         libtool         nasm         protobuf-compiler         pkg-config         unzip         sox         libsndfile1         libpng-dev         libhdf5-103         libhdf5-dev         gfortran         rapidjson-dev         ninja-build         libedit-dev         build-essential      && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-08-07 04:49:48  0.00B 设置环境变量 PYVER
ENV PYVER=3.10
                        
# 2023-08-07 04:49:48  0.00B 定义构建参数
ARG PYVER=3.10
                        
# 2023-08-07 04:49:48  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-08-07 04:49:48  0.00B 添加元数据标签
LABEL com.nvidia.pytorch.version=2.1.0a0+29c30b1
                        
# 2023-08-07 04:49:48  0.00B 设置环境变量 PYTORCH_BUILD_VERSION PYTORCH_VERSION PYTORCH_BUILD_NUMBER NVIDIA_PYTORCH_VERSION
ENV PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1 PYTORCH_VERSION=2.1.0a0+29c30b1 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=23.08
                        
# 2023-08-07 04:49:48  0.00B 定义构建参数
ARG PYTORCH_BUILD_VERSION
                        
# 2023-08-07 04:49:48  0.00B 定义构建参数
ARG NVIDIA_PYTORCH_VERSION
                        
# 2023-08-07 04:49:48  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=PyTorch
                        
# 2023-08-07 01:51:06  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2023-08-07 01:51:06  906.05MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.15 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.15.0 OPENMPI_VERSION=4.1.5rc2 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installNCCL.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2023-08-07 01:44:51  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2023-08-07 01:44:50  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2023-08-07 01:44:50  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2023-08-07 01:44:50  224.35MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.15 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.15.0 OPENMPI_VERSION=4.1.5rc2 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ldconfig # buildkit
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-08-07 01:44:50  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION
ENV GDRCOPY_VERSION=2.3 HPCX_VERSION=2.15 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.15.0 OPENMPI_VERSION=4.1.5rc2 RDMACORE_VERSION=39.0
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG OPENMPI_VERSION
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG OPENUCX_VERSION
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG RDMACORE_VERSION
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG HPCX_VERSION
                        
# 2023-08-07 01:44:50  0.00B 定义构建参数
ARG GDRCOPY_VERSION
                        
# 2023-08-07 01:44:37  84.86MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-08-07 01:30:53  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2023-08-07 01:30:52  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-08-07 01:30:52  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-08-07 01:30:52  14.53KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2023-08-07 01:30:52  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2023-08-07 01:30:52  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX
                        
# 2023-08-07 01:30:52  46.00B 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=12.2.1.020 CUDA_DRIVER_VERSION=535.86.10 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.18.3 CUBLAS_VERSION=12.2.5.1 CUFFT_VERSION=11.0.8.91 CURAND_VERSION=10.3.3.129 CUSPARSE_VERSION=12.1.2.129 CUSOLVER_VERSION=11.5.1.129 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.2.0.5 NVJPEG_VERSION=12.2.1.2 CUDNN_VERSION=8.9.4.25 TRT_VERSION=8.6.1.6+cuda12.0.1.011 TRTOSS_VERSION=23.08 NSIGHT_SYSTEMS_VERSION=2023.2.3.1001 NSIGHT_COMPUTE_VERSION=2023.2.1.3 DALI_VERSION=1.28.0 DALI_BUILD=8915302 POLYGRAPHY_VERSION=0.47.1 TRANSFORMER_ENGINE_VERSION=0.11 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-08-07 01:30:52  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2023-08-07 01:30:51  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION
ENV DALI_VERSION=1.28.0 DALI_BUILD=8915302 POLYGRAPHY_VERSION=0.47.1 TRANSFORMER_ENGINE_VERSION=0.11
                        
# 2023-08-07 01:30:51  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION
                        
# 2023-08-07 01:30:51  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION
                        
# 2023-08-07 01:30:51  0.00B 定义构建参数
ARG DALI_BUILD
                        
# 2023-08-07 01:30:51  0.00B 定义构建参数
ARG DALI_VERSION
                        
# 2023-08-07 01:30:51  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.18.3 com.nvidia.cublas.version=12.2.5.1 com.nvidia.cufft.version=11.0.8.91 com.nvidia.curand.version=10.3.3.129 com.nvidia.cusparse.version=12.1.2.129 com.nvidia.cusolver.version=11.5.1.129 com.nvidia.cutensor.version=1.7.0.1 com.nvidia.npp.version=12.2.0.5 com.nvidia.nvjpeg.version=12.2.1.2 com.nvidia.cudnn.version=8.9.4.25 com.nvidia.tensorrt.version=8.6.1.6+cuda12.0.1.011 com.nvidia.tensorrtoss.version=23.08 com.nvidia.nsightsystems.version=2023.2.3.1001 com.nvidia.nsightcompute.version=2023.2.1.3
                        
# 2023-08-07 01:30:51  4.66GB 执行命令并创建新的镜像层
RUN |17 CUDA_VERSION=12.2.1.020 CUDA_DRIVER_VERSION=535.86.10 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.18.3 CUBLAS_VERSION=12.2.5.1 CUFFT_VERSION=11.0.8.91 CURAND_VERSION=10.3.3.129 CUSPARSE_VERSION=12.1.2.129 CUSOLVER_VERSION=11.5.1.129 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.2.0.5 NVJPEG_VERSION=12.2.1.2 CUDNN_VERSION=8.9.4.25 TRT_VERSION=8.6.1.6+cuda12.0.1.011 TRTOSS_VERSION=23.08 NSIGHT_SYSTEMS_VERSION=2023.2.3.1001 NSIGHT_COMPUTE_VERSION=2023.2.1.3 /bin/sh -c /nvidia/build-scripts/installNCCL.sh  && /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUTENSOR.sh # buildkit
                        
# 2023-08-07 01:27:12  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.18.3 CUBLAS_VERSION=12.2.5.1 CUFFT_VERSION=11.0.8.91 CURAND_VERSION=10.3.3.129 CUSPARSE_VERSION=12.1.2.129 CUSOLVER_VERSION=11.5.1.129 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.2.0.5 NVJPEG_VERSION=12.2.1.2 CUDNN_VERSION=8.9.4.25 TRT_VERSION=8.6.1.6+cuda12.0.1.011 TRTOSS_VERSION=23.08 NSIGHT_SYSTEMS_VERSION=2023.2.3.1001 NSIGHT_COMPUTE_VERSION=2023.2.1.3
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG TRTOSS_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG TRT_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUDNN_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG NVJPEG_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG NPP_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUTENSOR_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUSOLVER_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUSPARSE_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CURAND_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUFFT_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG CUBLAS_VERSION
                        
# 2023-08-07 01:27:12  0.00B 定义构建参数
ARG NCCL_VERSION
                        
# 2023-08-07 01:27:12  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2023-08-07 01:27:12  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2023-08-07 01:27:12  58.45KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.2.1.020 CUDA_DRIVER_VERSION=535.86.10 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2023-08-07 01:27:10  422.99MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.2.1.020 CUDA_DRIVER_VERSION=535.86.10 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2023-08-07 01:27:10  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.2.1.020 CUDA_DRIVER_VERSION=535.86.10 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2023-08-07 01:27:10  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS
                        
# 2023-08-07 01:27:10  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION
                        
# 2023-08-07 01:27:10  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2023-08-04 00:47:59  310.54MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses5         libncursesw5         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4 # buildkit
                        
# 2023-06-28 16:37:42  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-06-28 16:37:42  77.81MB 
/bin/sh -c #(nop) ADD file:140fb5108b4a2861b5718ad03b4a5174bba03589ea8d4c053e6a0b282f439ff3 in / 
                        
# 2023-06-28 16:37:40  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-06-28 16:37:40  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-06-28 16:37:40  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-06-28 16:37:40  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:bdfeb1b8a88bfafc8c809b8f0617eb02bf7cb7b281f94fe1e3703eb446ba5433",
    "RepoTags": [
        "oneflowinc/onediff:cu118",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff:cu118"
    ],
    "RepoDigests": [
        "oneflowinc/onediff@sha256:83543581338257e63f7af567ff0298088e2d3addd2e896466df02988c38b3b04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/oneflowinc/onediff@sha256:c0d3f6cbf6638fcf3eb925e346f0ea3ad169e2961b319d12b60ce2dc6a61d0fe"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-09-20T13:14:15.6630446Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "6006/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/lib/python3.10/dist-packages/torch_tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin",
            "CUDA_VERSION=12.2.1.020",
            "CUDA_DRIVER_VERSION=535.86.10",
            "CUDA_CACHE_DISABLE=1",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.18.3",
            "CUBLAS_VERSION=12.2.5.1",
            "CUFFT_VERSION=11.0.8.91",
            "CURAND_VERSION=10.3.3.129",
            "CUSPARSE_VERSION=12.1.2.129",
            "CUSOLVER_VERSION=11.5.1.129",
            "CUTENSOR_VERSION=1.7.0.1",
            "NPP_VERSION=12.2.0.5",
            "NVJPEG_VERSION=12.2.1.2",
            "CUDNN_VERSION=8.9.4.25",
            "TRT_VERSION=8.6.1.6+cuda12.0.1.011",
            "TRTOSS_VERSION=23.08",
            "NSIGHT_SYSTEMS_VERSION=2023.2.3.1001",
            "NSIGHT_COMPUTE_VERSION=2023.2.1.3",
            "DALI_VERSION=1.28.0",
            "DALI_BUILD=8915302",
            "POLYGRAPHY_VERSION=0.47.1",
            "TRANSFORMER_ENGINE_VERSION=0.11",
            "LD_LIBRARY_PATH=/usr/local/lib/python3.10/dist-packages/torch/lib:/usr/local/lib/python3.10/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=PyTorch",
            "GDRCOPY_VERSION=2.3",
            "HPCX_VERSION=2.15",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.15.0",
            "OPENMPI_VERSION=4.1.5rc2",
            "RDMACORE_VERSION=39.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "PYTORCH_BUILD_VERSION=2.1.0a0+29c30b1",
            "PYTORCH_VERSION=2.1.0a0+29c30b1",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=23.08",
            "PYVER=3.10",
            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python",
            "SETUPTOOLS_USE_DISTUTILS=stdlib",
            "OPENBLAS_VERSION=0.3.23",
            "PYTHONIOENCODING=utf-8",
            "LC_ALL=C.UTF-8",
            "PIP_DEFAULT_TIMEOUT=100",
            "NVM_DIR=/usr/local/nvm",
            "JUPYTER_PORT=8888",
            "TENSORBOARD_PORT=6006",
            "UCC_CL_BASIC_TLS=^sharp",
            "TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX",
            "CUDA_HOME=/usr/local/cuda",
            "TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1",
            "PYTORCH_HOME=/opt/pytorch/pytorch",
            "USE_EXPERIMENTAL_CUDNN_V8_API=1",
            "COCOAPI_VERSION=2.0+nv0.7.3",
            "TORCH_CUDNN_V8_API_ENABLED=1",
            "CUDA_MODULE_LOADING=LAZY",
            "NVIDIA_BUILD_ID=66128610"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.build.id": "66128610",
            "com.nvidia.build.ref": "bb0476c6ce5f374d5bb697427f59dd429c527a37",
            "com.nvidia.cublas.version": "12.2.5.1",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "8.9.4.25",
            "com.nvidia.cufft.version": "11.0.8.91",
            "com.nvidia.curand.version": "10.3.3.129",
            "com.nvidia.cusolver.version": "11.5.1.129",
            "com.nvidia.cusparse.version": "12.1.2.129",
            "com.nvidia.cutensor.version": "1.7.0.1",
            "com.nvidia.nccl.version": "2.18.3",
            "com.nvidia.npp.version": "12.2.0.5",
            "com.nvidia.nsightcompute.version": "2023.2.1.3",
            "com.nvidia.nsightsystems.version": "2023.2.3.1001",
            "com.nvidia.nvjpeg.version": "12.2.1.2",
            "com.nvidia.pytorch.version": "2.1.0a0+29c30b1",
            "com.nvidia.tensorrt.version": "8.6.1.6+cuda12.0.1.011",
            "com.nvidia.tensorrtoss.version": "23.08",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 27667835599,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/69d4ba1e397ff43bb126ac1a11a045d469567b3ad61635aeb690244c2e0bec4a/diff:/var/lib/docker/overlay2/a7daa4d37ab2df5612ce8f0ec034a76b6888e54704733e90a8b13703f32ddef1/diff:/var/lib/docker/overlay2/9c6ab63508725a168b234268489ef09345650085e89727768e0383dbbbcee0f5/diff:/var/lib/docker/overlay2/1172c7f12e81c3096d224b511eec960e96c45220601bf29fa27f419f3fc2ee36/diff:/var/lib/docker/overlay2/e0e9c686118863d7bad2f0ee9fb8e5dd1618a100ec99ae93ad17655fbc551b2f/diff:/var/lib/docker/overlay2/4357fc67cede2a131181c912311bfe890b91d7732c884b8754101f8ce33774a8/diff:/var/lib/docker/overlay2/c92e28c165b064c49afe32884d01fa412fe13a306547754eedd14dab4849eb67/diff:/var/lib/docker/overlay2/e6ca971b5fdd4140104623c57981f18277fcfde05ca3f01be095ca8924d65a4f/diff:/var/lib/docker/overlay2/fd83142bdb32516ac3cb7d22e4fbefb523c2dfff4ccba21768f0988adc0886a7/diff:/var/lib/docker/overlay2/1e7ec0e6ac6b73df2d1b99f464f0310b04848124c94c35c601f8427fb5a092e9/diff:/var/lib/docker/overlay2/bb8de7dda2ac81674f62ac119246442617d1cef1490232bd71aca92617ff7727/diff:/var/lib/docker/overlay2/87e2911ef10ec56b8f50ab5f9d94a8bc2dfae28b47276715b12c02acb36d5c64/diff:/var/lib/docker/overlay2/5bd789e0278cde5140a4afa072a4cf755847bcbbcb8258cbf84ecc152ab60f81/diff:/var/lib/docker/overlay2/8a0c6029204d832f731059e35d5cae6efe7c13a9fce45ba2fc388337f899d965/diff:/var/lib/docker/overlay2/689cb7d553a73da411a491601ca606a128153f3d7caba7b414c7575023962eba/diff:/var/lib/docker/overlay2/5d41007b144ca04120bb3cf2db8ff35c7dc0609d75b3dd790b78f13006f8449c/diff:/var/lib/docker/overlay2/db386b483e8799bfeaea0257238244df5ea1be801125acb85fff5e821b66e38b/diff:/var/lib/docker/overlay2/14b1dfe71203e3fe9e9fb90b833b6ae4bd601eae610b0ecb86bee94b682bdff4/diff:/var/lib/docker/overlay2/0812e07b83f78d689d21ac5be886cab8ea09b87bfc940d7c2bfdd08eed08eb6e/diff:/var/lib/docker/overlay2/cbb948cdcc9b7174f2e144a1fe7c22e4497cdd8c1b5b7262cd93b392621c4e4e/diff:/var/lib/docker/overlay2/eac12a2dd87002778f04bc4c332c98f26c12fca66e8eb5dd269e1cab20d1f679/diff:/var/lib/docker/overlay2/80665d263df6d1d962ba31d35905032b8e544f4667dca48eee2f0e719ae916ee/diff:/var/lib/docker/overlay2/ed4e0fa313cb3f6558e1050f608b365f25e69655c880ff1cb2abb618e09ff504/diff:/var/lib/docker/overlay2/40900cae991c56d651c5277c01bb8aeb285ea79788172bda97a8352c9cc60427/diff:/var/lib/docker/overlay2/27f5d5498cfae40e62dbf4bd98cae5a0bbccc54d15cdbd18e9ab2589f7fdbfd9/diff:/var/lib/docker/overlay2/943ef6321a94c8a843976006a8a1bdfd2aabddbfb282fbfd8ec30d7d0d46d68b/diff:/var/lib/docker/overlay2/7b697c2cd666cbaa1e5ec8fd6fda28846a7b6bac6d6e0e04f7e14ed6d1430bb9/diff:/var/lib/docker/overlay2/fc7295d6d8731b017280b87116d90a7b835241f7a0d6f4bc3e2ac9bc98314a75/diff:/var/lib/docker/overlay2/f8fbce6409d4122115646f51c2426ebf9c6a1002aaf9c768047e2438d25a0a94/diff:/var/lib/docker/overlay2/f6da279b1a59f93427b338c0e84dda5d69c6d0974b263983ce476feddd7733c9/diff:/var/lib/docker/overlay2/974eb2a03233236546f18e47497b74427d45557c5a1e563cf98ee7b4df72ece8/diff:/var/lib/docker/overlay2/a43958e0cf5a4a740ec4b696ca0bd42e290b0895361c890829701e955e6630fe/diff:/var/lib/docker/overlay2/56240400ba9aaa38ff3cc7267bdd33e4a8f28750aa9024770f1b2653d604c0d7/diff:/var/lib/docker/overlay2/d884c224ceb3ee5b422bfa91c2110368523d3f40aae0af0e64419800a22f34c7/diff:/var/lib/docker/overlay2/a2880f7adeeb6d7f15a725a6515c8a7467ff848a3dc8cfbcf5842c2f969d5d68/diff:/var/lib/docker/overlay2/c3cbfa6f18908423dc89e3fbdd106df44625f8b1af0bb0634c9d1ef6db360db5/diff:/var/lib/docker/overlay2/e3da7b6daa2bf6d337ee1dc7fd15ed680b0e4aff1ffc46f57af12de3a86dcca7/diff:/var/lib/docker/overlay2/dc09701c689f4d8a0873a3181fbe41aa0cb76a626330348f39d0cab127dd6a0b/diff:/var/lib/docker/overlay2/daea1bc2a9a6bd1533c42c9dd1050c8ca17c56d95aeb1bb257b5fc75669b5376/diff:/var/lib/docker/overlay2/dca6f6cd24114ab0ea80baf9d7e1af6b5b212aeed463561f566875e52ae86cef/diff:/var/lib/docker/overlay2/cd0f35c3d137afb034befbedc9cd43420e69c66236ce73ae451e9bb011e4e0ff/diff:/var/lib/docker/overlay2/c3360701f9d56954b349ab232995125038d3023f52971766ab7373971c684975/diff:/var/lib/docker/overlay2/daecb58c7622655446319ec78905e9ba5ba8639c31888ba8808315364e9a3004/diff:/var/lib/docker/overlay2/f004eeafe2d107010cc785ad505d6d15e9a8ce95858d98c61599a40aeaf29c05/diff:/var/lib/docker/overlay2/cad867be758a20e653b686a40f46bd3e4161943f9c5552f157774ff07d691d5d/diff:/var/lib/docker/overlay2/843e91c8254f662b7aa8d0cbf03cacc76a7c774019599eb9c461cb4c0bb0d047/diff:/var/lib/docker/overlay2/e05bbc5efd89e1e90fd7005970d9543b893d8aa9d9be76ea14623e1ee9fd2ec2/diff:/var/lib/docker/overlay2/609f073a72e28f5f302513fae937f6f7281f2476f097bbfb073dd2147706f7d0/diff:/var/lib/docker/overlay2/7c8a17cf916ed1a0f2ecf94ab17188b93a60a0b769e4be6efd498252035e797b/diff:/var/lib/docker/overlay2/89465b3d8fae71a26860676632955e470ba5f7267f9117e94d4149efe74c2e5b/diff:/var/lib/docker/overlay2/fa75461545b04370e8a9e34ad5d4023beac56aa588739361d704cd2cdb54b6d0/diff:/var/lib/docker/overlay2/9000ca383223628170587eadf8e566d72ef080eea31841174b0b7ebf86b91498/diff:/var/lib/docker/overlay2/101e8ad904f82877d814e58cf7baacc0156e6749d33db6511b9a5c83fce0e8cd/diff:/var/lib/docker/overlay2/290da7fc5c2a63923b82be332357f00c3e85e400811fe0d3966c537c7a502a81/diff",
            "MergedDir": "/var/lib/docker/overlay2/7d76cab1cec02fb32adcd49a6937228747a56ab66de059ce3cb3f2b9b8390bce/merged",
            "UpperDir": "/var/lib/docker/overlay2/7d76cab1cec02fb32adcd49a6937228747a56ab66de059ce3cb3f2b9b8390bce/diff",
            "WorkDir": "/var/lib/docker/overlay2/7d76cab1cec02fb32adcd49a6937228747a56ab66de059ce3cb3f2b9b8390bce/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:59c56aee1fb4dbaeb334aef06088b49902105d1ea0c15a9e5a2a9ce560fa4c5d",
            "sha256:5595c1d1841261f97f8d0402c3fb98582bb66b017525f47bdef04cb8a5b4a07f",
            "sha256:6023f4138aad6e72831412728948dcc04271bb9ba106590832ed4fe7e617688b",
            "sha256:d7b441b8271335c20d20f7c325f1793a8d893f16b00b6cd77f00f44e5660077f",
            "sha256:57e2f5f8d1dc2ea7ed374f9788f73348ae695531a4dbd1fb728d9f73a67d6b90",
            "sha256:ab3644bbb3dce49936ee40c7a2903bc0977541140fa938c4c9b184998e7423b2",
            "sha256:c92afafe3e624f534a324b5d54e3c8ce9bfad5fe7ad5aba06ca5d975a5b1151b",
            "sha256:dde6a85f6acac35f0492e212b657835de95c5a495cfbb03ce824aed984085154",
            "sha256:9a0bc889c66762d87d815e3689d79ecd0c56bd22b02d7265be04099170f1b9bc",
            "sha256:3776be7253168c80bcf275fa879af96453ca947e0e621e8834cdeef892aa4a69",
            "sha256:74ff9c896cc29266205cbaec6ea48e1a9096e42e7df8ac7e3c74e20bcfe7e45f",
            "sha256:705b3179ab88c98db19f0f03a0b346b5ae189bd6e8acd99f9e661a05f15a3baa",
            "sha256:00fcb740c19b8247cf050b76dfefd0e18c5962d5a29e5ae5830aa77949fa8e84",
            "sha256:dd249ad4e47c64477d5b174708e3351c19007f879e8c7b423a66ad4b4aa7d9f4",
            "sha256:ab0aee48903b53ba52adaec8b582f87968d72a451ca92ef45675b39b6545dfd7",
            "sha256:e873cbad61d3835467221c6391b8f7f3a206c4e555a8553cae8a6120fbe6faf6",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:0b337f3650482c89348fddf241631cafcd624c275fc430d84aa03ed3ca8928c1",
            "sha256:c77be5222a925685a5e3525ba731d4acc45dd0c5c9f78d03d79b093d57a1d549",
            "sha256:8cdc371c471c36c679b01a85af1a4e5b29e29a4b01e9fcac49cf883d7c03e16b",
            "sha256:64f438113a018225ab60bd27264fb2d5f589d4dd7b77771e980c7e354190e28a",
            "sha256:338d364d6651fc3f16dd5bb03248e60f58785517b310fdd6a4718620d2c04027",
            "sha256:bb5ba48fa5ca21a212211fc88be96ef52e5de4ea4685a5b9ec5ebfbd716b30c2",
            "sha256:6f0c1a21ad7fe2cd869e2a787fdab8eef9e1382472217307c208c9a38ff6f6e2",
            "sha256:5f48cd1cd62deacf22052244a874017b5ff91788e88c7038598a14185f6e6441",
            "sha256:04df05f54b718525a04860095f9281785e4d5cd8e7df51abe69508de1e031f35",
            "sha256:58e70f687071063a9f07a47762778ce84ac42ce614826e49f0a5031624bdb419",
            "sha256:73d35b39fd80ce16fa42bd861773adf6e54bd4b5f14519e3b85fab1daa268e74",
            "sha256:dfd3a808a6ab052a7fb6cd05ccbdef755b6f49455d4c214441e963e7da5ee14b",
            "sha256:684d7c3d5c9810c318650d69784ee12ae11b4a50899e2ded898df444a2b88a9d",
            "sha256:297996e1b637125d331ab3c890c143df10d7fe3c8b558956cc77597277c4a78a",
            "sha256:4904fc451872fbbaf8c3499b6bfb25b19beeb67de8720fe91e159755c37d7be5",
            "sha256:82f1ce6da3563db8fcf329973627886ecaf9656e1788dc2b607039d6a1c17aa1",
            "sha256:fa54ce70c059a37b3b14815285eedc2e2982019eb90d90758701674c274dfb93",
            "sha256:7cbbc5d7c0ee3ef7939801041e3b56501e4cc3e18e720c6fc9d8c50ef3b8882e",
            "sha256:bd9ced85754c7099d6320eecb0c2bed0027630063f72fafdb04f52604a01b1fd",
            "sha256:2d4b5dd672e1ffef5ea0845dd9b5054a3e697685815be0bcade83311f41c03c9",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:9c01b8c94866101946f4fd025b757ea58b523702b4f71f203568968ca09c7b06",
            "sha256:743dd969b81eb76ccba1d52208c8304282c4b84073175ec54feb736cf3840945",
            "sha256:90f7fcec30699c3695de2e1da70aaa44542c07b60132e821004dc72b64a70337",
            "sha256:1392ee3692183f4d609925b496cde770318be0001d59cab7ec45ab525e441e4f",
            "sha256:11ee9aa07ba1cb9057165a2e9b399671ad8d73a57c9efedf245ad4ec2ed2445a",
            "sha256:6fc68d31a53cc7ca82776a20f2773db97cae8fa3fba09469ef443848b78e6e35",
            "sha256:5695e47f9c7b378650e6d4407e63d5d7f556d1e04d638d2e1e488f6c943f3f28",
            "sha256:4097cc44fb7ffa4f98c95928f45a7b41d2d4c315b23377670abd6a9fc9e5f418",
            "sha256:31a4f8e11cd231b095e65a34f6d9afd093699c0044a5bbcd753a00f2eece9830",
            "sha256:d871c62aa077d65063ace6dd48c5d0fd57d369755fabb94df325aba6cf39bd63",
            "sha256:6e0fd60948c2809c15e3c1ecf5966cf20095d014816585484cf21064bf3360d4",
            "sha256:2d31d72b366ba44d249cc7df23b48ea424cdd1e6226bc993105f7f459b9122aa",
            "sha256:bd91633724994d4b231d2188f8ca6d6e40ed7db472bd3ab4eca49343c1a45eb6",
            "sha256:9f047edf0af86a0dbd24d104de0c6663798168d642169f9d8f6cdf9f4be9f93c",
            "sha256:1d6e6cc5effa428902c3ec031edc9bac87c711ee3021570c23b01fea3952aec3",
            "sha256:f8868c0ccc7692426171781e7a285c6696d474f4e7148346e6a0096aa9daa5bd",
            "sha256:ba9082f5a59bbf6b3f597ee88376c309bfa7fa3f5faf0800a5b7e8c59dde51f4"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-09-21T01:02:58.150894613+08:00"
    }
}