docker.io/tensorflow/tensorflow:latest-gpu linux/amd64

docker.io/tensorflow/tensorflow:latest-gpu - 国内下载镜像源 浏览次数:72

温馨提示:此镜像为latest tag镜像，本站无法保证此版本为最新镜像

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
源镜像 docker.io/tensorflow/tensorflow:latest-gpu
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tensorflow/tensorflow:latest-gpu
镜像ID sha256:df6d9691dd542a21b3e0b6e9f385c7d59b72da7544ad33e3e3d3468f1a4da864
镜像TAG latest-gpu
大小 7.36GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 72 次
贡献者
镜像创建 2024-10-25T12:45:57.577449971Z
同步时间 2025-01-26 00:25
更新时间 2025-02-22 05:17
环境变量
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>=12.3 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 NV_CUDA_CUDART_VERSION=12.3.52-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3 CUDA_VERSION=12.3.0 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
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer 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: 2025-01-26 00:25

低危漏洞:181 中危漏洞:1212 高危漏洞:13 严重漏洞:0
docker.io/tensorflow/tensorflow:latest-gpu (ubuntu 22.04) (ubuntu) Python (python-pkg)

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

Containerd拉取命令 

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

Shell快速替换命令 

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

镜像构建历史 


# 2024-10-25 20:45:57  1.92KB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.11 TENSORFLOW_PACKAGE=tensorflow==2.18.0 /bin/sh -c chmod a+rwx /etc/bash.bashrc # buildkit
                        
# 2024-10-25 20:45:57  1.92KB 复制新文件或目录到容器中
COPY bashrc /etc/bash.bashrc # buildkit
                        
# 2024-10-25 20:45:57  29.73KB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.11 TENSORFLOW_PACKAGE=tensorflow==2.18.0 /bin/sh -c /setup.cuda.sh # buildkit
                        
# 2024-10-25 20:45:57  1.31KB 复制新文件或目录到容器中
COPY setup.cuda.sh /setup.cuda.sh # buildkit
                        
# 2024-10-25 20:45:57  1.97GB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.11 TENSORFLOW_PACKAGE=tensorflow==2.18.0 /bin/sh -c pip install --no-cache-dir ${TENSORFLOW_PACKAGE} # buildkit
                        
# 2024-10-25 20:45:18  101.56MB 执行命令并创建新的镜像层
RUN |2 PYTHON_VERSION=python3.11 TENSORFLOW_PACKAGE=tensorflow==2.18.0 /bin/sh -c /setup.python.sh $PYTHON_VERSION /gpu.requirements.txt # buildkit
                        
# 2024-10-25 20:41:28  11.00B 复制新文件或目录到容器中
COPY gpu.requirements.txt /gpu.requirements.txt # buildkit
                        
# 2024-10-25 20:41:28  1.79KB 复制新文件或目录到容器中
COPY setup.python.sh /setup.python.sh # buildkit
                        
# 2024-10-25 20:41:28  0.00B 定义构建参数
ARG TENSORFLOW_PACKAGE=tensorflow==2.18.0
                        
# 2024-10-25 20:41:28  0.00B 定义构建参数
ARG PYTHON_VERSION=python3.11
                        
# 2024-10-25 20:41:28  4.98GB 执行命令并创建新的镜像层
RUN /bin/sh -c /setup.packages.sh /gpu.packages.txt # buildkit
                        
# 2024-10-25 20:38:19  61.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c /setup.sources.sh # buildkit
                        
# 2024-10-25 20:38:07  527.00B 复制新文件或目录到容器中
COPY gpu.packages.txt /gpu.packages.txt # buildkit
                        
# 2024-10-25 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
                        
# 2024-10-25 20:38:07  1.38KB 复制新文件或目录到容器中
COPY setup.sources.sh /setup.sources.sh # buildkit
                        
# 2024-10-25 20:38:07  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-10-25 20:38:07  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-09 10:19:48  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-09 10:19:48  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-09 10:19:48  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-09 10:19:48  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-09 10:19:48  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
                        
# 2023-11-09 10:19:48  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
                        
# 2023-11-09 10:19:48  154.88MB 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-12-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-09 10:19:39  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.0
                        
# 2023-11-09 10:19:39  10.56MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-09 10:19:39  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-09 10:19:39  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-09 10:19:39  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3
                        
# 2023-11-09 10:19:39  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.52-1
                        
# 2023-11-09 10:19:39  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.3 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>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2023-11-09 10:19:39  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 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 

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    "Metadata": {
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    }
}

更多版本

docker.io/tensorflow/tensorflow:2.18.0rc1-jupyter

linux/amd64 docker.io2.24GB2024-10-12 14:05
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docker.io/tensorflow/tensorflow:nightly-gpu

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docker.io/tensorflow/tensorflow:latest

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docker.io/tensorflow/tensorflow:2.17.0-gpu

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docker.io/tensorflow/tensorflow:2.18.0-gpu

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docker.io/tensorflow/tensorflow:1.15.2-py3

linux/amd64 docker.io1.18GB2024-11-26 15:07
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docker.io/tensorflow/tensorflow:latest-gpu

linux/amd64 docker.io7.36GB2025-01-26 00:25
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