docker.io/hi20240217/pub:petrv2_training linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training  docker.io/hi20240217/pub:petrv2_training

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training  docker.io/hi20240217/pub:petrv2_training

Shell快速替换命令

sed -i 's#hi20240217/pub:petrv2_training#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training#' 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/hi20240217/pub:petrv2_training && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training  docker.io/hi20240217/pub:petrv2_training'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:petrv2_training  docker.io/hi20240217/pub:petrv2_training'

镜像构建历史

# 2025-12-09 10:15:16  5.20GB 
/bin/bash
                        
# 2023-02-16 11:36:22  56.01KB 
/bin/sh -c ldconfig
                        
# 2023-02-16 11:36:19  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/TensorRT-8.4.2.4/lib:/usr/local/cuda-11.7/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-02-16 11:36:17  0.00B 
/bin/sh -c pip cache purge
                        
# 2023-02-16 11:36:13  2.91GB 
/bin/sh -c python -m pip install https://paddle-wheel.bj.bcebos.com/2.4.2/linux/linux-gpu-cuda11.7-cudnn8.4.1-mkl-gcc8.2-avx/paddlepaddle_gpu-2.4.2.post117-cp37-cp37m-linux_x86_64.whl
                        
# 2023-02-16 11:34:26  13.40MB 
/bin/sh -c pip install -U pip -i https://pypi.tuna.tsinghua.edu.cn/simple
                        
# 2022-09-23 10:53:48  3.30GB 
/bin/sh -c /bin/bash /install_trt.sh trt8424
                        
# 2022-09-23 10:49:29  2.48KB 
/bin/sh -c #(nop) COPY file:c8e343092bd0f042d33e14e255b6a10f693bb4dd3916c9247dce6751fdf467db in / 
                        
# 2022-09-22 17:36:36  0.00B 
/bin/sh -c #(nop)  EXPOSE 22
                        
# 2022-09-22 17:36:30  754.26MB 
/bin/sh -c wget https://paddle-ci.cdn.bcebos.com/clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz &&     tar xf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz && cd clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04 &&     cp -r * /usr/local && cd .. && rm -rf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04 && rm -rf clang+llvm-3.8.0-x86_64-linux-gnu-ubuntu-16.04.tar.xz
                        
# 2022-09-22 17:34:31  649.50KB 
/bin/sh -c wget https://paddle-ci.gz.bcebos.com/ccache-3.7.9.tar.gz &&     tar xf ccache-3.7.9.tar.gz && mkdir /usr/local/ccache-3.7.9 && cd ccache-3.7.9 &&     ./configure -prefix=/usr/local/ccache-3.7.9 &&     make -j8 && make install &&     ln -s /usr/local/ccache-3.7.9/bin/ccache /usr/local/bin/ccache &&     cd ../ && rm -rf ccache-3.7.9 ccache-3.7.9.tar.gz
                        
# 2022-09-22 17:33:57  80.97MB 
/bin/sh -c pip3.7 --no-cache-dir install -r /root/requirements.txt
                        
# 2022-09-22 17:33:35  121.00B 
/bin/sh -c #(nop) COPY file:37b4c0e867a8cdf73ec63eee49ff6a5a192ac289329dbf365a5fc801fe2a5ed4 in /root/ 
                        
# 2022-09-22 17:33:34  13.38MB 
/bin/sh -c pip3.7 --no-cache-dir install pylint pytest astroid isort
                        
# 2022-09-22 17:33:21  38.95MB 
/bin/sh -c pip3.7 --no-cache-dir install pre-commit==1.10.4 ipython==5.3.0 &&     pip3.7 --no-cache-dir install ipykernel==4.6.0 wheel
                        
# 2022-09-22 17:32:42  3.48MB 
/bin/sh -c localedef -i en_US -f UTF-8 en_US.UTF-8
                        
# 2022-09-22 17:32:37  649.00B 
/bin/sh -c git config --global credential.helper store
                        
# 2022-09-22 17:32:33  0.00B 
/bin/sh -c curl -s -q https://glide.sh/get | sh
                        
# 2022-09-22 17:32:29  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-8.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin:/root/gopath/bin
                        
# 2022-09-22 17:32:28  0.00B 
/bin/sh -c #(nop)  ENV GOROOT=/usr/local/go GOPATH=/root/gopath
                        
# 2022-09-22 17:32:23  407.78MB 
/bin/sh -c wget -qO- https://paddle-ci.gz.bcebos.com/go1.17.2.linux-amd64.tar.gz |     tar -xz -C /usr/local &&     mkdir /root/gopath &&     mkdir /root/gopath/bin &&     mkdir /root/gopath/src
                        
# 2022-09-22 17:20:41  140.59MB 
/bin/sh -c wget -q https://ftp.gnu.org/gnu/binutils/binutils-2.33.1.tar.gz &&     tar -xzf binutils-2.33.1.tar.gz &&     cd binutils-2.33.1 &&     ./configure && make -j && make install && cd .. && rm -rf binutils-2.33.1 binutils-2.33.1.tar.gz
                        
# 2022-09-22 17:17:14  42.00B 
/bin/sh -c rm /usr/local/bin/pip && ln -s /usr/local/bin/pip3.7 /usr/local/bin/pip &&   rm /usr/local/bin/pip3 && ln -s /usr/local/bin/pip3.7 /usr/local/bin/pip3
                        
# 2022-09-22 17:17:11  0.00B 
/bin/sh -c rm setuptools-50.3.2.zip pip-20.0.1.tar.gz &&     rm -r setuptools-50.3.2 pip-20.0.1
                        
# 2022-09-22 17:17:07  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-09-22 17:17:05  14.87MB 
/bin/sh -c python3.7 setup.py install
                        
# 2022-09-22 17:16:58  0.00B 
/bin/sh -c #(nop) WORKDIR /home/pip-20.0.1
                        
# 2022-09-22 17:16:57  6.38MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/28/af/2c76c8aa46ccdf7578b83d97a11a2d1858794d4be4a1610ade0d30182e8b/pip-20.0.1.tar.gz && tar -zxvf pip-20.0.1.tar.gz
                        
# 2022-09-22 17:16:53  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-09-22 17:16:51  6.08MB 
/bin/sh -c python3.7 setup.py build && python3.7 setup.py install
                        
# 2022-09-22 17:16:46  0.00B 
/bin/sh -c #(nop) WORKDIR /home/setuptools-50.3.2
                        
# 2022-09-22 17:16:44  7.31MB 
/bin/sh -c wget https://files.pythonhosted.org/packages/a7/e0/30642b9c2df516506d40b563b0cbd080c49c6b3f11a70b4c7a670f13a78b/setuptools-50.3.2.zip && apt-get -y install unzip && unzip setuptools-50.3.2.zip
                        
# 2022-09-22 17:16:38  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-09-22 17:16:35  118.28MB 
/bin/sh -c apt-get update &&   apt-get install -y python3.7 python3.7-dev python3.7-distutils &&   mv /usr/bin/python /usr/bin/python.bak && ln -s /usr/bin/python3.7 /usr/bin/python &&   mv /usr/bin/python3 /usr/bin/python3.bak && ln -s /usr/bin/python3.7 /usr/bin/python3
                        
# 2022-09-22 17:10:21  0.00B 
/bin/sh -c #(nop)  ENV PATH=/home/cmake-3.16.0-Linux-x86_64/bin:/usr/local/gcc-8.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-09-22 17:10:19  107.23MB 
/bin/sh -c wget -q https://cmake.org/files/v3.16/cmake-3.16.0-Linux-x86_64.tar.gz && tar -zxvf cmake-3.16.0-Linux-x86_64.tar.gz && rm cmake-3.16.0-Linux-x86_64.tar.gz
                        
# 2022-09-22 16:54:53  0.00B 
/bin/sh -c #(nop) WORKDIR /home
                        
# 2022-09-22 16:54:51  0.00B 
/bin/sh -c rm -rf /build_scripts
                        
# 2022-09-22 16:54:45  164.83MB 
/bin/sh -c bash /build_scripts/install_nccl2.sh
                        
# 2022-09-22 16:52:52  0.00B 
/bin/sh -c #(nop)  ENV CUDNN_VERSION=8.4.1
                        
# 2022-09-22 16:52:37  2.70GB 
/bin/sh -c bash /build_scripts/install_cudnn.sh cudnn841
                        
# 2022-09-22 16:38:10  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/gcc-8.2/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-09-22 16:38:09  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/g++ /usr/bin/g++
                        
# 2022-09-22 16:38:06  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/gcc /usr/bin/gcc
                        
# 2022-09-22 16:38:02  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/g++ /usr/local/bin/g++
                        
# 2022-09-22 16:37:59  26.00B 
/bin/sh -c ln -s /usr/local/gcc-8.2/bin/gcc /usr/local/bin/gcc
                        
# 2022-09-22 16:37:56  2.09MB 
/bin/sh -c cp gcc gcc.bak && cp g++ g++.bak && rm gcc && rm g++
                        
# 2022-09-22 16:37:44  1.55GB 
/bin/sh -c bash /build_scripts/install_gcc.sh gcc82
                        
# 2022-09-22 15:30:03  2.25MB 
/bin/sh -c bash /build_scripts/install_patchelf.sh
                        
# 2022-09-22 15:29:29  34.26KB 
/bin/sh -c #(nop) COPY dir:116051cbbefda04d696f0c5ec3d66e419cafda4d4f1982e3634acf7902f91357 in /build_scripts 
                        
# 2022-07-12 12:13:27  0.00B 
/bin/sh -c #(nop) WORKDIR /usr/bin
                        
# 2022-07-12 12:13:21  487.73MB 
/bin/sh -c apt-get update --allow-unauthenticated &&   apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa &&   apt-get update &&   apt-get install -y curl wget vim git unzip unrar tar xz-utils libssl-dev bzip2 gzip     coreutils ntp language-pack-zh-hans python-qt4 libsm6 libxext6 libxrender-dev libgl1-mesa-glx     bison graphviz libjpeg-dev zlib1g-dev automake locales swig net-tools libtool module-init-tools
                        
# 2022-07-12 12:09:05  0.00B 
/bin/sh -c apt-key adv --fetch-keys https://developer.download.nvidia.cn/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
                        
# 2022-07-12 12:09:00  0.00B 
/bin/sh -c rm /etc/apt/sources.list.d/*
                        
# 2022-07-12 12:08:56  0.00B 
/bin/sh -c apt-key del 7fa2af80
                        
# 2022-07-12 12:08:52  0.00B 
/bin/sh -c chmod 777 /tmp
                        
# 2022-07-12 12:08:49  1.29KB 
/bin/sh -c #(nop) COPY dir:9ed1d5b93d3297e4db56e1653c842cbbcf1da570c0847212c33f84d30915708c in /root/ 
                        
# 2022-07-12 12:08:48  0.00B 
/bin/sh -c #(nop)  ENV HOME=/root
                        
# 2022-07-12 12:08:46  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda-11.7/targets/x86_64-linux/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-07-12 12:08:45  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-07-12 12:08:43  0.00B 
/bin/sh -c #(nop)  ENV WITH_AVX=ON
                        
# 2022-07-12 12:08:41  0.00B 
/bin/sh -c #(nop)  ENV WITH_GPU=ON
                        
# 2022-07-12 12:08:00  0.00B 
/bin/sh -c #(nop)  ARG WITH_AVX
                        
# 2022-07-12 12:07:59  0.00B 
/bin/sh -c #(nop)  ARG WITH_GPU
                        
# 2022-07-12 12:07:32  0.00B 
/bin/sh -c #(nop)  MAINTAINER PaddlePaddle Authors <paddle-dev@baidu.com>
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2022-05-19 02:43:52  366.65KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} # buildkit
                        
# 2022-05-19 02:43:52  2.60GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-dev-11-7=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-7=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-19 02:43:52  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-19 02:43:52  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.7.50-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.7.3.21-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.7.50-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.7.60-1
                        
# 2022-05-19 02:43:52  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.0-1
                        
# 2022-05-19 02:39:01  255.34KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
                        
# 2022-05-19 02:39:01  1.67GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-7=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-7=${NV_NVTX_VERSION}     libcusparse-11-7=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-19 02:39:01  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-19 02:39:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.10.1.25-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.3.50-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.7.3.21-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.7.50-1
                        
# 2022-05-19 02:39:01  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.0-1
                        
# 2022-05-19 02:10:36  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-05-19 02:10:36  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-05-19 02:10:36  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-05-19 02:10:36  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-05-19 02:10:36  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2022-05-19 02:10:36  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /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
                        
# 2022-05-19 02:10:36  119.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-7=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.7 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-19 02:05:40  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.0
                        
# 2022-05-19 02:05:40  16.53MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-19 02:05:40  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-19 02:05:40  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-19 02:05:40  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
                        
# 2022-05-19 02:05:40  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.60-1
                        
# 2022-05-19 02:05:40  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511
                        
# 2022-05-19 02:05:40  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-04-30 07:20:51  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-04-30 07:20:51  63.15MB 
/bin/sh -c #(nop) ADD file:f657a56a18426c3a88d620a7024e7b91424d926e7b47faa6a97c2369c4c4a228 in / 
                        
                    

镜像信息

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