docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0 linux/amd64

docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0 - 国内下载镜像源 浏览次数:49
```html

这是一个包含Jupyter Notebook、PyTorch和CUDA的Docker镜像。它预先配置好了用于深度学习的必要环境,方便用户直接运行PyTorch程序,并利用GPU加速计算。

```
源镜像 docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0
镜像ID sha256:b0d82ce0a03815e1379e8e8ed068c54ca4c05c3628aa4ea94383c8fd81c1ae99
镜像TAG v1.8.0
大小 7.03GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /init
工作目录
OS/平台 linux/amd64
浏览量 49 次
贡献者
镜像创建 2023-10-31T22:10:12.524146358Z
同步时间 2025-02-07 01:16
更新时间 2025-02-22 04:34
开放端口
8888/tcp
环境变量
PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NB_USER=jovyan NB_UID=1000 NB_PREFIX=/ HOME=/home/jovyan SHELL=/bin/bash LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8 LC_ALL=en_US.UTF-8 CONDA_DIR=/opt/conda NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_REQUIRE_CUDA=cuda>=12.1
镜像标签
ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2025-02-07 01:18

低危漏洞:178 中危漏洞:277 高危漏洞:23 严重漏洞:3

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/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0  docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0  docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0

Shell快速替换命令

sed -i 's#kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0#' 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/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0  docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0  docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0'

镜像构建历史


# 2023-11-01 06:10:12  79.44MB 执行命令并创建新的镜像层
RUN /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2023-11-01 06:09:59  100.00B 复制新文件或目录到容器中
COPY requirements.txt /tmp/requirements.txt # buildkit
                        
# 2023-11-01 06:09:59  1.33GB 执行命令并创建新的镜像层
RUN /bin/bash -c mamba install -y -q     bokeh==3.2.2     cloudpickle==2.2.1     dill==0.3.7     ipympl==0.9.3     matplotlib==3.8.0     pandas==2.1.1     scikit-image==0.22.0     scikit-learn==1.3.1     scipy==1.11.3     seaborn==0.13.0     xgboost==1.7.6  && mamba clean -a -f -y # buildkit
                        
# 2023-11-01 06:03:25  0.00B 执行命令并创建新的镜像层
RUN |3 PYTORCH_VERSION=2.1.0 TORCHAUDIO_VERSION=2.1.0 TORCHVISION_VERSION=0.16.0 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2023-11-01 06:03:23  0.00B 复制新文件或目录到容器中
COPY requirements.txt /tmp # buildkit
                        
# 2023-11-01 06:03:22  4.33GB 执行命令并创建新的镜像层
RUN |3 PYTORCH_VERSION=2.1.0 TORCHAUDIO_VERSION=2.1.0 TORCHVISION_VERSION=0.16.0 /bin/bash -c python3 -m pip install --quiet --no-cache-dir --index-url https://download.pytorch.org/whl/cu121     torch==${PYTORCH_VERSION}     torchvision==${TORCHVISION_VERSION}     torchaudio==${TORCHAUDIO_VERSION} # buildkit
                        
# 2023-11-01 06:03:22  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1
                        
# 2023-11-01 06:03:22  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-01 06:03:22  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-01 06:03:22  0.00B 定义构建参数
ARG TORCHVISION_VERSION=0.16.0
                        
# 2023-11-01 06:03:22  0.00B 定义构建参数
ARG TORCHAUDIO_VERSION=2.1.0
                        
# 2023-11-01 06:03:22  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.1.0
                        
# 2023-11-01 05:19:17  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-11-01 05:19:17  94.79KB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c jupyter notebook --generate-config  && jupyter lab --generate-config  && jupyter labextension disable "@jupyterlab/apputils-extension:announcements" # buildkit
                        
# 2023-11-01 05:19:14  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-11-01 05:19:14  67.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c mkdir -p /tmp_home  && cp -r ${HOME} /tmp_home  && chown -R ${NB_USER}:users /tmp_home # buildkit
                        
# 2023-11-01 05:19:14  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-11-01 05:19:14  399.00B 复制新文件或目录到容器中
COPY s6/ /etc # buildkit
                        
# 2023-11-01 05:19:14  0.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2023-11-01 05:19:12  0.00B 复制新文件或目录到容器中
COPY requirements.txt /tmp # buildkit
                        
# 2023-11-01 05:19:12  412.97MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c echo "jupyterlab ==${JUPYTERLAB_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && echo "notebook ==${JUPYTER_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     jupyterlab==${JUPYTERLAB_VERSION}     notebook==${JUPYTER_VERSION}  && conda clean -a -f -y # buildkit
                        
# 2023-11-01 05:15:56  286.56MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c case "${TARGETARCH}" in       amd64) MINIFORGE_ARCH="x86_64" ;;       arm64) MINIFORGE_ARCH="aarch64" ;;       ppc64le) MINIFORGE_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh" -o /tmp/Miniforge3.sh  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh.sha256" -o /tmp/Miniforge3.sh.sha256  && echo "$(cat /tmp/Miniforge3.sh.sha256 | awk '{ print $1; }')  /tmp/Miniforge3.sh" | sha256sum -c -  && rm /tmp/Miniforge3.sh.sha256  && /bin/bash /tmp/Miniforge3.sh -b -f -p ${CONDA_DIR}  && rm /tmp/Miniforge3.sh  && conda config --system --set auto_update_conda false  && conda config --system --set show_channel_urls true  && echo "python ==${PYTHON_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     python=${PYTHON_VERSION}     pip=${PIP_VERSION}  && conda update -y -q --all  && conda clean -a -f -y # buildkit
                        
# 2023-11-01 05:12:22  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-11-01 05:12:22  694.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c mkdir -p ${CONDA_DIR}  && echo ". /opt/conda/etc/profile.d/conda.sh" >> ${HOME}/.bashrc  && echo ". /opt/conda/etc/profile.d/conda.sh" >> /etc/profile  && echo "conda activate base" >> ${HOME}/.bashrc  && echo "conda activate base" >> /etc/profile  && chown -R ${NB_USER}:users ${CONDA_DIR}  && chown -R ${NB_USER}:users ${HOME} # buildkit
                        
# 2023-11-01 05:12:22  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-01 05:12:22  0.00B 设置环境变量 CONDA_DIR
ENV CONDA_DIR=/opt/conda
                        
# 2023-11-01 05:12:22  156.01MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=3.6.6 JUPYTER_VERSION=6.5.6 MINIFORGE_VERSION=23.3.1-1 NODE_MAJOR_VERSION=18 PIP_VERSION=23.2.1 PYTHON_VERSION=3.11.6 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && curl -sL "https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key" | apt-key add -  && echo "deb https://deb.nodesource.com/node_${NODE_MAJOR_VERSION}.x nodistro main" > /etc/apt/sources.list.d/nodesource.list  && apt-get -yq update  && apt-get -yq install --no-install-recommends     nodejs  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11.6
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG PIP_VERSION=23.2.1
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG NODE_MAJOR_VERSION=18
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG MINIFORGE_VERSION=23.3.1-1
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG JUPYTER_VERSION=6.5.6
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG JUPYTERLAB_VERSION=3.6.6
                        
# 2023-11-01 05:12:22  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-11-01 05:12:22  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-10-25 05:35:15  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/init"]
                        
# 2023-10-25 05:35:15  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-25 05:35:15  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=en_US.UTF-8
                        
# 2023-10-25 05:35:15  0.00B 设置环境变量 LANGUAGE
ENV LANGUAGE=en_US.UTF-8
                        
# 2023-10-25 05:35:15  0.00B 设置环境变量 LANG
ENV LANG=en_US.UTF-8
                        
# 2023-10-25 05:35:15  3.05MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.27.6 S6_VERSION=v3.1.5.0 /bin/bash -c echo "en_US.UTF-8 UTF-8" > /etc/locale.gen  && locale-gen # buildkit
                        
# 2023-10-25 05:35:13  49.59MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.27.6 S6_VERSION=v3.1.5.0 /bin/bash -c useradd -M -s /bin/bash -N -u ${NB_UID} ${NB_USER}  && mkdir -p ${HOME}  && chown -R ${NB_USER}:users ${HOME}  && chown -R ${NB_USER}:users /usr/local/bin # buildkit
                        
# 2023-10-25 05:35:13  49.27MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.27.6 S6_VERSION=v3.1.5.0 /bin/bash -c curl -fsSL "https://dl.k8s.io/release/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl" -o /usr/local/bin/kubectl  && curl -fsSL "https://dl.k8s.io/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl.sha256" -o /tmp/kubectl.sha256  && echo "$(cat /tmp/kubectl.sha256 | awk '{ print $1; }')  /usr/local/bin/kubectl" | sha256sum -c -  && rm /tmp/kubectl.sha256  && chmod +x /usr/local/bin/kubectl # buildkit
                        
# 2023-10-25 05:35:11  5.37MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.27.6 S6_VERSION=v3.1.5.0 /bin/bash -c case "${TARGETARCH}" in       amd64) S6_ARCH="x86_64" ;;       arm64) S6_ARCH="aarch64" ;;       ppc64le) S6_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz" -o /tmp/s6-overlay-noarch.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz.sha256" -o /tmp/s6-overlay-noarch.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-noarch.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-noarch.tar.xz" | sha256sum -c -  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz.sha256" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-${S6_ARCH}.tar.xz" | sha256sum -c -  && tar -C / -Jxpf /tmp/s6-overlay-noarch.tar.xz  && tar -C / -Jxpf /tmp/s6-overlay-${S6_ARCH}.tar.xz  && rm /tmp/s6-overlay-noarch.tar.xz         /tmp/s6-overlay-noarch.tar.xz.sha256        /tmp/s6-overlay-${S6_ARCH}.tar.xz        /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 # buildkit
                        
# 2023-10-25 05:35:08  247.57MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.27.6 S6_VERSION=v3.1.5.0 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && apt-get -yq update  && apt-get -yq install --no-install-recommends     apt-transport-https     bash     bzip2     ca-certificates     curl     git     gnupg     gnupg2     locales     lsb-release     nano     software-properties-common     tzdata     unzip     vim     wget     xz-utils     zip  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-25 05:35:08  0.00B 
SHELL [/bin/bash -c]
                        
# 2023-10-25 05:35:08  0.00B 定义构建参数
ARG S6_VERSION=v3.1.5.0
                        
# 2023-10-25 05:35:08  0.00B 定义构建参数
ARG KUBECTL_VERSION=v1.27.6
                        
# 2023-10-25 05:35:08  0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
                        
# 2023-10-25 05:35:08  0.00B 设置环境变量 HOME
ENV HOME=/home/jovyan
                        
# 2023-10-25 05:35:08  0.00B 设置环境变量 NB_PREFIX
ENV NB_PREFIX=/
                        
# 2023-10-25 05:35:08  0.00B 设置环境变量 NB_UID
ENV NB_UID=1000
                        
# 2023-10-25 05:35:08  0.00B 设置环境变量 NB_USER
ENV NB_USER=jovyan
                        
# 2023-10-25 05:35:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:b0d82ce0a03815e1379e8e8ed068c54ca4c05c3628aa4ea94383c8fd81c1ae99",
    "RepoTags": [
        "kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0"
    ],
    "RepoDigests": [
        "kubeflownotebookswg/jupyter-pytorch-cuda-full@sha256:a8a858c0fa7de8972adcfd3702be1fc7f2ef34e1ba168091a713b58eeb380555",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full@sha256:708aee69024b9c22469f6e5b528f0d3ba2c85ff17157c43d33884c0d30937c1e"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-10-31T22:10:12.524146358Z",
    "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",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_PREFIX=/",
            "HOME=/home/jovyan",
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更多版本

docker.io/kubeflownotebookswg/jupyter-pytorch-cuda-full:v1.8.0

linux/amd64 docker.io7.03GB2025-02-07 01:16
48