docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04 linux/amd64

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04  docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04  docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04#' 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/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04  docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04  docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04'

镜像构建历史

# 2022-05-20 14:27:24  2.82GB 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     ${NV_CUDNN_PACKAGE}     ${NV_CUDNN_PACKAGE_DEV}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:27:24  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.1.1.33
                        
# 2022-05-20 14:27:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:27:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:27:24  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2022-05-20 14:27:24  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.1.1.33-1+cuda11.2
                        
# 2022-05-20 14:27:24  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.1.1.33-1+cuda11.2
                        
# 2022-05-20 14:27:24  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.1.1.33
                        
# 2022-05-20 14:15:04  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2022-05-20 14:15:04  369.12KB 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
                        
# 2022-05-20 14:15:03  2.12GB 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-11-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-2=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:15:03  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:15:03  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-2=11.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-2=11.4.1.1043-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-2
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.4.1.1043-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-2=11.3.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.4.1.1152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.2.152-1
                        
# 2022-05-20 14:15:03  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.2-1
                        
# 2022-05-20 14:11:31  265.00KB 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
                        
# 2022-05-20 14:11:31  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-11-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-2=${NV_NVTX_VERSION}     libcusparse-11-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:11:31  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:11:31  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.4.1.1043-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.4.1.1043-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.4.1.1152-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-2=11.3.2.152-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.2.152-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.2.152-1
                        
# 2022-05-20 14:11:31  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.2-1
                        
# 2022-05-20 14:10:00  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-05-20 14:10:00  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-05-20 14:10:00  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-05-20 14:10:00  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-05-20 14:10:00  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
                        
# 2022-05-20 14:10:00  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
                        
# 2022-05-20 14:10:00  33.43MB 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-11-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.2 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:09:43  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.2
                        
# 2022-05-20 14:09:43  15.86MB 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     ca-certificates apt-transport-https gnupg-curl &&     NVIDIA_GPGKEY_SUM=a21c1a0b18a4196fa901b833e13c4fa64f094d7d9e8a6495318e7255f0ef23d1 &&     NVIDIA_GPGKEY_FPR=eb693b3035cd5710e231e123a4b469963bf863cc &&     apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/${NVARCH}/3bf863cc.pub &&     apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub &&     echo "$NVIDIA_GPGKEY_SUM  cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --auto-remove -y gnupg-curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-05-20 14:09:43  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-05-20 14:09:43  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-05-20 14:09:43  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2022-05-20 14:09:43  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.152-1
                        
# 2022-05-20 14:09:43  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419
                        
# 2022-05-20 14:09:43  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2021-08-31 09:21:30  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2021-08-31 09:21:30  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2021-08-31 09:21:29  0.00B 
/bin/sh -c rm -rf /var/lib/apt/lists/*
                        
# 2021-08-31 09:21:28  745.00B 
/bin/sh -c set -xe 		&& echo '#!/bin/sh' > /usr/sbin/policy-rc.d 	&& echo 'exit 101' >> /usr/sbin/policy-rc.d 	&& chmod +x /usr/sbin/policy-rc.d 		&& dpkg-divert --local --rename --add /sbin/initctl 	&& cp -a /usr/sbin/policy-rc.d /sbin/initctl 	&& sed -i 's/^exit.*/exit 0/' /sbin/initctl 		&& echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup 		&& echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean 	&& echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean 	&& echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean 		&& echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages 		&& echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes 		&& echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests
                        
# 2021-08-31 09:21:27  134.82MB 
/bin/sh -c #(nop) ADD file:11b425d4c08e81a3e0cb2e0345d27cd5fc844dd83f1096af4cc05f635824ff5d in / 
                        
                    

镜像信息

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            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.2 brand=tesla,driver\u003e=418,driver\u003c419",
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