docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter

linux/amd64 docker.io

TensorFlow Docker 镜像

这是一个由 Google 维护的 Docker 镜像，包含 TensorFlow 框架，用于机器学习和深度学习。它提供了一个预先配置的环境，可以轻松地运行 TensorFlow 代码，并包含必要的依赖项和库。

该镜像提供多种版本的 TensorFlow，以及其他工具和库，例如 CUDA 和 cuDNN，用于 GPU 加速。

使用该镜像，您可以快速启动一个 TensorFlow 环境，无需手动安装所有必要的依赖项。它适用于开发、测试和部署 TensorFlow 模型。

您可以通过以下命令拉取该镜像：

docker pull docker.io/tensorflow/tensorflow

417

浏览次数

6.87GB

镜像大小

源镜像

docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter

镜像ID

sha256:99c4601387b3e87d6cad9275b5ead60fb89efb1f5d20bfc99e77066ec7608dcf

镜像 TAG

2.13.0-gpu-jupyter

镜像大小

6.87GB

平台架构

linux/amd64

镜像源

docker.io

项目信息

Hub 主页所有 TAG

CMD

bash -c source /etc/bash.bashrc && jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root

启动入口

工作目录

/tf

OS/平台

linux/amd64

镜像创建

2023-07-06T12:47:50.88308283Z

同步时间

2025-10-23 00:22

浏览量

417 次

贡献者

🔌 开放端口 1

8888/tcp

⚙️ 环境变量 11

Key	Value
`PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	`0`
`NVARCH=x86_64`	`1`
NVIDIA_REQUIRE_CUDA=cuda>=11.8 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=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516	`2`
`NV_CUDA_CUDART_VERSION=11.8.89-1`	`3`
`NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8`	`4`
`CUDA_VERSION=11.8.0`	`5`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64`	`6`
`NVIDIA_VISIBLE_DEVICES=all`	`7`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`8`
`DEBIAN_FRONTEND=noninteractive`	`9`
`LANG=C.UTF-8`	`10`

🏷️ 镜像标签 3

Key	Value
`NVIDIA CORPORATION <cudatools@nvidia.com>`	`maintainer`
`ubuntu`	`org.opencontainers.image.ref.name`
`20.04`	`org.opencontainers.image.version`

Chatgpt|Claude一站式支持平台提供先进的AI镜像服务，助你在国内优雅的使用Chatgpt和Claude等AI服务

无权限下载？点我修复生成 Docker Run 命令生成 Kubernetes YAML

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter

Shell快速替换命令

sed -i 's#tensorflow/tensorflow:2.13.0-gpu-jupyter#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter#' 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:2.13.0-gpu-jupyter && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter'

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:2.13.0-gpu-jupyter && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter  docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter'

镜像构建历史


# 2023-07-06 20:47:50  0.00B 设置默认要执行的命令
CMD ["bash" "-c" "source /etc/bash.bashrc && jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root"]
                        
# 2023-07-06 20:47:50  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-07-06 20:47:50  0.00B 设置工作目录为/tf
WORKDIR /tf
                        
# 2023-07-06 20:47:50  69.00B 复制新文件或目录到容器中
COPY jupyter.readme.md /tf/tensorflow-tutorials/README.md # buildkit
                        
# 2023-07-06 20:47:50  81.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c /setup.jupyter.sh # buildkit
                        
# 2023-07-06 20:47:37  197.63MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip install --no-cache-dir -r /jupyter.requirements.txt -U # buildkit
                        
# 2023-07-06 20:47:11  994.00B 复制新文件或目录到容器中
COPY setup.jupyter.sh /setup.jupyter.sh # buildkit
                        
# 2023-07-06 20:47:11  40.00B 复制新文件或目录到容器中
COPY jupyter.requirements.txt /jupyter.requirements.txt # buildkit
                        
# 2023-07-06 20:46:15  1.92KB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.8 TENSORFLOW_PACKAGE=tensorflow==2.13.0 /bin/sh -c chmod a+rwx /etc/bash.bashrc # buildkit
                        
# 2023-07-06 20:46:14  1.92KB 复制新文件或目录到容器中
COPY bashrc /etc/bash.bashrc # buildkit
                        
# 2023-07-06 20:46:14  34.43KB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.8 TENSORFLOW_PACKAGE=tensorflow==2.13.0 /bin/sh -c /setup.cuda.sh # buildkit
                        
# 2023-07-06 20:46:14  1.31KB 复制新文件或目录到容器中
COPY setup.cuda.sh /setup.cuda.sh # buildkit
                        
# 2023-07-06 20:46:14  1.61GB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.8 TENSORFLOW_PACKAGE=tensorflow==2.13.0 /bin/sh -c pip install --no-cache-dir ${TENSORFLOW_PACKAGE} # buildkit
                        
# 2023-07-06 20:45:31  55.25MB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.8 TENSORFLOW_PACKAGE=tensorflow==2.13.0 /bin/sh -c /setup.python.sh $PYTHON_VERSION /gpu.requirements.txt # buildkit
                        
# 2023-07-06 20:41:16  11.00B 复制新文件或目录到容器中
COPY gpu.requirements.txt /gpu.requirements.txt # buildkit
                        
# 2023-07-06 20:41:16  1.79KB 复制新文件或目录到容器中
COPY setup.python.sh /setup.python.sh # buildkit
                        
# 2023-07-06 20:41:16  0.00B 定义构建参数
ARG TENSORFLOW_PACKAGE=tf-nightly
                        
# 2023-07-06 20:41:16  0.00B 定义构建参数
ARG PYTHON_VERSION=python3.8
                        
# 2023-07-06 20:41:16  4.64GB 执行命令并创建新的镜像层
RUN /bin/sh -c /setup.packages.sh /gpu.packages.txt # buildkit
                        
# 2023-07-06 20:38:15  46.07MB 执行命令并创建新的镜像层
RUN /bin/sh -c /setup.sources.sh # buildkit
                        
# 2023-07-06 20:38:07  645.00B 复制新文件或目录到容器中
COPY gpu.packages.txt /gpu.packages.txt # buildkit
                        
# 2023-07-06 20:38:07  1.18KB 复制新文件或目录到容器中
COPY setup.packages.sh /setup.packages.sh # buildkit
                        
# 2023-07-06 20:38:07  1.72KB 复制新文件或目录到容器中
COPY setup.sources.sh /setup.sources.sh # buildkit
                        
# 2023-07-06 20:38:07  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2023-07-06 20:38:07  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-06-21 08:41:06  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-06-21 08:41:06  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-06-21 08:41:06  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
                        
# 2023-06-21 08:41:06  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
                        
# 2023-06-21 08:41:01  150.68MB 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-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-06-21 08:40:21  18.32MB 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/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-06-21 08:40:21  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-06-21 08:40:21  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 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=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516
                        
# 2023-06-21 08:40:21  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-06-06 01:08:58  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-06-06 01:08:58  72.79MB 
/bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in / 
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-06-06 01:08:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:99c4601387b3e87d6cad9275b5ead60fb89efb1f5d20bfc99e77066ec7608dcf",
    "RepoTags": [
        "tensorflow/tensorflow:2.13.0-gpu-jupyter",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:2.13.0-gpu-jupyter"
    ],
    "RepoDigests": [
        "tensorflow/tensorflow@sha256:64bfb25fd3f85e1b0af1757ef8ff25fb96a261d1e572a4105e3037d0a27cdf67",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow@sha256:b26d0eaa91e5810be2634c9043f5feb85672dfa8537d01fe6a63428a3780f653"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-07-06T12:47:50.88308283Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "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=11.8 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511 brand=tesla,driver\u003e=515,driver\u003c516 brand=unknown,driver\u003e=515,driver\u003c516 brand=nvidia,driver\u003e=515,driver\u003c516 brand=nvidiartx,driver\u003e=515,driver\u003c516 brand=geforce,driver\u003e=515,driver\u003c516 brand=geforcertx,driver\u003e=515,driver\u003c516 brand=quadro,driver\u003e=515,driver\u003c516 brand=quadrortx,driver\u003e=515,driver\u003c516 brand=titan,driver\u003e=515,driver\u003c516 brand=titanrtx,driver\u003e=515,driver\u003c516",
            "NV_CUDA_CUDART_VERSION=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "DEBIAN_FRONTEND=noninteractive",
            "LANG=C.UTF-8"
        ],
        "Cmd": [
            "bash",
            "-c",
            "source /etc/bash.bashrc \u0026\u0026 jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/tf",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 6872694375,
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}

更多版本

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