quay.io/jupyter/tensorflow-notebook:cuda-latest 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/quay.io/jupyter/tensorflow-notebook:cuda-latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest  quay.io/jupyter/tensorflow-notebook:cuda-latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest  quay.io/jupyter/tensorflow-notebook:cuda-latest

Shell快速替换命令

sed -i 's#quay.io/jupyter/tensorflow-notebook:cuda-latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest  quay.io/jupyter/tensorflow-notebook:cuda-latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest  quay.io/jupyter/tensorflow-notebook:cuda-latest'

镜像构建历史

# 2025-01-01 01:50:13  0.00B 设置环境变量 PATH LD_LIBRARY_PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin LD_LIBRARY_PATH=:/usr/local/nvidia/lib64
                        
# 2025-01-01 01:50:13  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-01-01 01:50:13  459.00B 复制新文件或目录到容器中
COPY --chown=1000:100 nvidia-lib-dirs.sh /opt/conda/etc/conda/activate.d/ # buildkit
                        
# 2025-01-01 01:50:13  0.00B 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mkdir -p "${CONDA_DIR}/etc/conda/activate.d/" &&     fix-permissions "${CONDA_DIR}" # buildkit
                        
# 2025-01-01 01:50:11  295.00B 复制新文件或目录到容器中
COPY --chown=1000:100 20tensorboard-proxy-env.sh /usr/local/bin/before-notebook.d/ # buildkit
                        
# 2025-01-01 01:50:11  4.92GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c pip install --no-cache-dir     "jupyter-server-proxy"     "tensorflow[and-cuda]<=2.17.1" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:50:11  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-01-01 01:50:11  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-01-01 01:43:39  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2025-01-01 01:43:39  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:43:39  133.00KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c MPLBACKEND=Agg python -c "import matplotlib.pyplot" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:43:38  2.31MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c git clone https://github.com/PAIR-code/facets &&     jupyter nbclassic-extension install facets/facets-dist/ --sys-prefix &&     rm -rf /tmp/facets &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:43:35  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-01-01 01:43:35  1.36GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'altair'     'beautifulsoup4'     'bokeh'     'bottleneck'     'cloudpickle'     'conda-forge::blas=*=openblas'     'cython'     'dask'     'dill'     'h5py'     'ipympl'     'ipywidgets'     'jupyterlab-git'     'matplotlib-base'     'numba'     'numexpr'     'openpyxl'     'pandas'     'patsy'     'protobuf'     'pytables'     'scikit-image'     'scikit-learn'     'scipy'     'seaborn'     'sqlalchemy'     'statsmodels'     'sympy'     'widgetsnbextension'     'xlrd' &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:43:00  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:43:00  732.38MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     build-essential     cm-super     dvipng     ffmpeg &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-01 01:43:00  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:43:00  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-01-01 01:43:00  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-01-01 01:39:55  6.49KB 复制新文件或目录到容器中
COPY setup-scripts/ /opt/setup-scripts/ # buildkit
                        
# 2025-01-01 01:39:55  292.00B 复制新文件或目录到容器中
COPY --chown=1000:100 Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2025-01-01 01:39:55  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:39:55  10.29KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c update-alternatives --install /usr/bin/nano nano /bin/nano-tiny 10 # buildkit
                        
# 2025-01-01 01:39:55  594.34MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     curl     git     nano-tiny     tzdata     unzip     vim-tiny     openssh-client     less     texlive-xetex     texlive-fonts-recommended     texlive-plain-generic     xclip &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-01 01:39:55  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:39:55  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-01-01 01:39:55  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-01-01 01:36:33  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2025-01-01 01:36:33  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:36:33  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "/etc/jupyter/docker_healthcheck.py || exit 1"] "3s" "1s" "3s" "0s" '\x03'}
                        
# 2025-01-01 01:36:33  3.03KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c fix-permissions /etc/jupyter/ # buildkit
                        
# 2025-01-01 01:36:32  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:36:32  3.03KB 复制新文件或目录到容器中
COPY jupyter_server_config.py docker_healthcheck.py /etc/jupyter/ # buildkit
                        
# 2025-01-01 01:36:32  2.58KB 复制新文件或目录到容器中
COPY start-notebook.py start-notebook.sh start-singleuser.py start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2025-01-01 01:36:32  0.00B 设置默认要执行的命令
CMD ["start-notebook.py"]
                        
# 2025-01-01 01:36:32  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2025-01-01 01:36:32  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2025-01-01 01:36:32  313.44MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'jupyterhub-singleuser'     'jupyterlab'     'nbclassic'     'notebook>=7.2.2' &&     jupyter server --generate-config &&     mamba clean --all -f -y &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:36:16  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-01-01 01:36:16  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:36:16  205.06MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     fonts-liberation     pandoc     run-one &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-01 01:36:16  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:36:16  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-01-01 01:36:16  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-01-01 01:35:10  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2025-01-01 01:35:10  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:35:10  406.00B 复制新文件或目录到容器中
COPY 10activate-conda-env.sh /usr/local/bin/before-notebook.d/ # buildkit
                        
# 2025-01-01 01:35:10  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.12 /bin/bash -o pipefail -c mkdir /usr/local/bin/start-notebook.d &&     mkdir /usr/local/bin/before-notebook.d # buildkit
                        
# 2025-01-01 01:35:10  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:35:10  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--" "start.sh"]
                        
# 2025-01-01 01:35:10  13.88KB 复制新文件或目录到容器中
COPY run-hooks.sh start.sh /usr/local/bin/ # buildkit
                        
# 2025-01-01 01:35:10  259.10MB 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.12 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget --progress=dot:giga -O -         "https://micro.mamba.pm/api/micromamba/linux-${arch}/latest" | tar -xvj bin/micromamba &&     PYTHON_SPECIFIER="python=${PYTHON_VERSION}" &&     if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi &&     ./bin/micromamba install         --root-prefix="${CONDA_DIR}"         --prefix="${CONDA_DIR}"         --yes         'jupyter_core'         'conda'         'mamba'         "${PYTHON_SPECIFIER}" &&     rm -rf /tmp/bin/ &&     mamba list --full-name 'python' | awk 'END{sub("[^.]*$", "*", $2); print $1 " " $2}' >> "${CONDA_DIR}/conda-meta/pinned" &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:34:54  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-01-01 01:34:54  163.00B 复制新文件或目录到容器中
COPY --chown=1000:100 initial-condarc /opt/conda/.condarc # buildkit
                        
# 2025-01-01 01:34:54  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.12 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:34:54  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2025-01-01 01:34:54  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-01-01 01:34:54  13.45KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c echo "auth requisite pam_deny.so" >> /etc/pam.d/su &&     sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers &&     sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers &&     useradd --no-log-init --create-home --shell /bin/bash --uid "${NB_UID}" --no-user-group "${NB_USER}" &&     mkdir -p "${CONDA_DIR}" &&     chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" &&     chmod g+w /etc/passwd &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-01-01 01:34:54  4.47KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c if grep -q "${NB_UID}" /etc/passwd; then         userdel --remove $(id -un "${NB_UID}");     fi # buildkit
                        
# 2025-01-01 01:34:54  3.80KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc &&     echo 'eval "$(conda shell.bash hook)"' >> /etc/skel/.bashrc # buildkit
                        
# 2025-01-01 01:34:54  0.00B 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c chmod a+rx /usr/local/bin/fix-permissions # buildkit
                        
# 2025-01-01 01:34:53  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2025-01-01 01:34:53  0.00B 设置环境变量 PATH HOME
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOME=/home/jovyan
                        
# 2025-01-01 01:34:53  0.00B 设置环境变量 CONDA_DIR SHELL NB_USER NB_UID NB_GID LC_ALL LANG LANGUAGE
ENV CONDA_DIR=/opt/conda SHELL=/bin/bash NB_USER=jovyan NB_UID=1000 NB_GID=100 LC_ALL=C.UTF-8 LANG=C.UTF-8 LANGUAGE=C.UTF-8
                        
# 2025-01-01 01:34:53  25.97MB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get upgrade --yes &&     apt-get install --yes --no-install-recommends     bzip2     ca-certificates     locales     netbase     sudo     tini     wget &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     echo "C.UTF-8 UTF-8" >> /etc/locale.gen &&     locale-gen # buildkit
                        
# 2025-01-01 01:34:53  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-01-01 01:34:53  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-01-01 01:34:53  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-01-01 01:34:53  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2025-01-01 01:34:53  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2025-01-01 01:34:53  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2025-01-01 01:34:53  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2024-11-20 01:29:25  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-11-20 01:29:25  78.12MB 
/bin/sh -c #(nop) ADD file:bcebbf0fddcba5b864d5d267b68dd23bcfb01275e6ec7bcab69bf8b56af14804 in / 
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-11-20 01:29:23  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:3f40a6b5a861c2bb4ce2a4711e1d30a7b56405b7b96268bd752fda11ed4ac4c8",
    "RepoTags": [
        "quay.io/jupyter/tensorflow-notebook:cuda-latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook:cuda-latest"
    ],
    "RepoDigests": [
        "quay.io/jupyter/tensorflow-notebook@sha256:ab772d3e41da0930bee9c91223ac337dc254ba6d773af65f83f8c34db303bb02",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/tensorflow-notebook@sha256:07348eb67db4c0fbab4161b6eac2fbea1d5d33c162815177a9bb8634bf8a2e95"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-12-31T17:50:13.025793491Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "CONDA_DIR=/opt/conda",
            "SHELL=/bin/bash",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_GID=100",
            "LC_ALL=C.UTF-8",
            "LANG=C.UTF-8",
            "LANGUAGE=C.UTF-8",
            "HOME=/home/jovyan",
            "JUPYTER_PORT=8888",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=:/usr/local/nvidia/lib64"
        ],
        "Cmd": [
            "start-notebook.py"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "/etc/jupyter/docker_healthcheck.py || exit 1"
            ],
            "Interval": 3000000000,
            "Timeout": 1000000000,
            "StartPeriod": 3000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/jovyan",
        "Entrypoint": [
            "tini",
            "-g",
            "--",
            "start.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Jupyter Project \u003cjupyter@googlegroups.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 8495855047,
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