Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu  docker.io/tensorflow/tensorflow:2.6.0-gpu

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu  docker.io/tensorflow/tensorflow:2.6.0-gpu

Shell快速替换命令

sed -i 's#tensorflow/tensorflow:2.6.0-gpu#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu#' 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/tensorflow/tensorflow:2.6.0-gpu && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu  docker.io/tensorflow/tensorflow:2.6.0-gpu'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu  docker.io/tensorflow/tensorflow:2.6.0-gpu'

镜像构建历史

# 2021-08-12 01:34:57  1.84KB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.6.0 /bin/bash -c chmod a+rwx /etc/bash.bashrc
                        
# 2021-08-12 01:34:57  1.84KB 
/bin/bash -c #(nop) COPY file:40186171ace294911872152eeeb8e478cf0693adf2319d231f3e46e8f863d8a9 in /etc/bash.bashrc 
                        
# 2021-08-12 01:34:52  1.26GB 
|9 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 TF_PACKAGE=tensorflow TF_PACKAGE_VERSION=2.6.0 /bin/bash -c python3 -m pip install --no-cache-dir ${TF_PACKAGE}${TF_PACKAGE_VERSION:+==${TF_PACKAGE_VERSION}}
                        
# 2021-08-12 01:34:05  0.00B 
/bin/bash -c #(nop)  ARG TF_PACKAGE_VERSION=
                        
# 2021-08-12 01:34:05  0.00B 
/bin/bash -c #(nop)  ARG TF_PACKAGE=tensorflow
                        
# 2021-08-12 01:34:05  16.00B 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c ln -s $(which python3) /usr/local/bin/python
                        
# 2021-08-12 01:34:05  12.41MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c python3 -m pip --no-cache-dir install --upgrade     "pip<20.3"     setuptools
                        
# 2021-08-12 01:34:00  137.03MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c apt-get update && apt-get install -y     python3     python3-pip
                        
# 2021-08-12 01:33:40  0.00B 
/bin/bash -c #(nop)  ENV LANG=C.UTF-8
                        
# 2021-08-12 01:33:40  33.15KB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1     && echo "/usr/local/cuda/lib64/stubs" > /etc/ld.so.conf.d/z-cuda-stubs.conf     && ldconfig
                        
# 2021-08-12 01:33:40  0.00B 
/bin/bash -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2021-08-12 01:33:37  688.10MB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c [[ "${ARCH}" = "ppc64le" ]] || { apt-get update &&         apt-get install -y --no-install-recommends libnvinfer${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.1         libnvinfer-plugin${LIBNVINFER_MAJOR_VERSION}=${LIBNVINFER}+cuda11.1         && apt-get clean         && rm -rf /var/lib/apt/lists/*; }
                        
# 2021-08-12 01:32:55  3.55GB 
|7 ARCH= CUDA=11.2 CUDNN=8.1.0.77-1 CUDNN_MAJOR_VERSION=8 LIBNVINFER=7.2.2-1 LIBNVINFER_MAJOR_VERSION=7 LIB_DIR_PREFIX=x86_64 /bin/bash -c apt-get update && apt-get install -y --no-install-recommends         build-essential         cuda-command-line-tools-${CUDA/./-}         libcublas-${CUDA/./-}         cuda-nvrtc-${CUDA/./-}         libcufft-${CUDA/./-}         libcurand-${CUDA/./-}         libcusolver-${CUDA/./-}         libcusparse-${CUDA/./-}         curl         libcudnn8=${CUDNN}+cuda${CUDA}         libfreetype6-dev         libhdf5-serial-dev         libzmq3-dev         pkg-config         software-properties-common         unzip
                        
# 2021-08-12 01:30:15  0.00B 
/bin/bash -c #(nop)  SHELL [/bin/bash -c]
                        
# 2021-08-12 01:30:15  0.00B 
/bin/sh -c #(nop)  ARG LIBNVINFER_MAJOR_VERSION=7
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG LIBNVINFER=7.2.2-1
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG LIB_DIR_PREFIX=x86_64
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG CUDNN_MAJOR_VERSION=8
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG CUDNN=8.1.0.77-1
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG CUDA
                        
# 2021-08-12 01:30:14  0.00B 
/bin/sh -c #(nop)  ARG ARCH
                        
# 2021-08-04 12:18:30  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2021-08-04 12:18:30  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2021-08-04 12:18:30  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2021-08-04 12:18:30  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2021-08-04 12:18:30  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
                        
# 2021-08-04 12:18:30  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
                        
# 2021-08-04 12:18:30  33.48MB 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
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.1
                        
# 2021-08-04 12:18:18  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/${NVARCH}/7fa2af80.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     if [ ! -z ${NV_ML_REPO_ENABLED} ]; then echo "deb ${NV_ML_REPO_URL} /" > /etc/apt/sources.list.d/nvidia-ml.list; fi &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-08-04 12:18:18  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-08-04 12:18:18  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NV_ML_REPO_URL
ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NV_ML_REPO_ENABLED
ENV NV_ML_REPO_ENABLED=1
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.146-1
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450
                        
# 2021-08-04 12:18:18  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2021-07-27 05:21:31  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2021-07-27 05:21:30  63.14MB 
/bin/sh -c #(nop) ADD file:e729fb032bd2f7cde20fb343da0cd358447e8b23028422c123944e8d0be660fa in / 
                        
                    

镜像信息

{
    "Id": "sha256:db8aaa42a27287abddd57d36c2d70e3dc51e79e58b5edaa64c9a46c9998f979d",
    "RepoTags": [
        "tensorflow/tensorflow:2.6.0-gpu",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.6.0-gpu"
    ],
    "RepoDigests": [
        "tensorflow/tensorflow@sha256:e0510bc8ea7dfed3b1381f92891fae3ad5b75712984c3632a60cc164391bca29",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow@sha256:e0510bc8ea7dfed3b1381f92891fae3ad5b75712984c3632a60cc164391bca29"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2021-08-11T17:34:57.860488351Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "20.10.7",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.2 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=440,driver\u003c441 driver\u003e=450",
            "NV_CUDA_CUDART_VERSION=11.2.146-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2",
            "NV_ML_REPO_ENABLED=1",
            "NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64",
            "CUDA_VERSION=11.2.1",
            "LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LANG=C.UTF-8"
        ],
        "Cmd": [
            "bash"
        ],
        "Image": "sha256:49840cf3cb9e7a125675d866d569a881fbcd3a0f4ee3d5b5554afe0e3efe4831",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5760568077,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/81ec08c8347df76217a83e483196052cf630686ad62b6a56aef8e5d24b41d9d6/diff:/var/lib/docker/overlay2/3ba7128f411f21ba139d74525bda04fe3825cec04d36badca8af824d1c6f1aaf/diff:/var/lib/docker/overlay2/19c58b2429d77e6a2848af00a2a9cdf83d3d9047af1453b0c39dcf07ce01096d/diff:/var/lib/docker/overlay2/eb093e304355b294a01deba37430131f7f53c202e263c512e488f74522311223/diff:/var/lib/docker/overlay2/889ed4023ef3a3000f8e8575168e2917d7b6229087ed95345042680944f46c42/diff:/var/lib/docker/overlay2/f9438df41b524a7273a948aead8a9a7e47ef566b073c34fc474319865e10c22a/diff:/var/lib/docker/overlay2/dc45f83b93c0c94e3b683b505a579bf5ec3e554cb8941de214ef0fae73322ab1/diff:/var/lib/docker/overlay2/5972fbf82cdf91e74849810015d2c089481dfea95068aa878bf7e8efb4932a84/diff:/var/lib/docker/overlay2/533d9635a417b82bd3135f5be1a3d341908441886170e745de90a2a82e228dad/diff:/var/lib/docker/overlay2/12160b47d60eb14aca57259041b843bff7a00f1bc2fd76ad4b2ed882809def87/diff:/var/lib/docker/overlay2/bb1ece54868da2c41d78f9a109c26ecc5a1bf8b77e3f3cf8e473a100cc46fc70/diff:/var/lib/docker/overlay2/aee3852ba8ae7185fda9ca8d856b840543d6a9a312991f1c2d07e2a5ca793a52/diff:/var/lib/docker/overlay2/553cd928398fe444c713b32a3a0a64f466c41e31bc6b7714f97c7b83da233165/diff",
            "MergedDir": "/var/lib/docker/overlay2/80457dc33ce78584c8bb311548799e6112294e9efd4d94342f804f2a4411747e/merged",
            "UpperDir": "/var/lib/docker/overlay2/80457dc33ce78584c8bb311548799e6112294e9efd4d94342f804f2a4411747e/diff",
            "WorkDir": "/var/lib/docker/overlay2/80457dc33ce78584c8bb311548799e6112294e9efd4d94342f804f2a4411747e/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:21639b09744fc39b4e1fe31c79cdf54470afe4d7239a517c4060bd181f8e3039",
            "sha256:ece13876b824eac2c4049752776bdce3db9f999b7e7f7a9391a86e2930106347",
            "sha256:fc1216f4ce6fd9943a8bfc4b5f5c936e86448178a76797455304d2ec8b23b27a",
            "sha256:4a4580ff745e0bfd9c0e466ffbdb701c2a398ca7281fc56e461794402e4dd2da",
            "sha256:7e959d248067e9412320a3bd39fe222b948b2c29c77ec59c294d6cd7cd093f72",
            "sha256:c8c640390c0f63a8d884a421f79328fda646ca7344793fd312f1383ace280308",
            "sha256:6aaa93465c39020d7667e4d2eec168222b7948528c20fb78ca79754069b8f13c",
            "sha256:bff3de2fddf3d9faf59f02e6c46e58ea2d2ef71595203e9931542085739229c9",
            "sha256:83bf07af2c7681d1474bb0508a52063cd3481361adbb547c03f8f9e6409100dc",
            "sha256:c5084ebd9b1cc8b4912adeb06df187fbb5f20ee37547cb208e2fb1ee0725d4ac",
            "sha256:e383a3c0ddd47bd65b208fc4a80ebd5d49176721b0f89421ed0f1282ff6275b9",
            "sha256:34c0d362c4b11bb9d58d6d9d47a88520c7120ccdf6c1b28a1c126ef0db8533da",
            "sha256:be0827e26d97f894c2693a579fbc455284c664f16bc2f7321af11e0f0e9f5323",
            "sha256:652485e24328eb0def3d33bb2ba2f52f73052eb7378bf3ebe4d5181f63e5cf97"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-09-11T16:16:57.031046952+08:00"
    }
}