docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime linux/amd64

docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime - 国内下载镜像源 浏览次数:726 安全受验证的发布者-Pytorch

PyTorch是一个深度学习框架,旨在简化机器学习算法的实现和部署。该镜像提供了一个基于Python 3.x的环境,可以用于快速启动和测试PyTorch项目。

源镜像 docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime
镜像ID sha256:9e0caf1b4542d52d1d19fd74b45df3cf768c54303831d2f0c2e88ae417930123
镜像TAG 2.4.1-cuda12.4-cudnn9-runtime
大小 5.99GB
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 /workspace
OS/平台 linux/amd64
浏览量 726 次
贡献者
镜像创建 2024-09-04T19:55:10.506182709Z
同步时间 2024-09-21 01:42
更新时间 2025-01-18 09:45
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PYTORCH_VERSION=2.4.1
镜像标签
nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime#' 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/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime'

镜像构建历史


# 2024-09-05 03:55:10  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-09-05 03:55:10  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.4.1
                        
# 2024-09-05 03:55:10  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-09-05 03:55:10  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-09-05 03:55:10  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-09-05 03:55:10  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-09-05 03:55:10  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
                        
# 2024-09-05 03:55:10  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc;         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2024-09-05 03:55:09  5.89GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-09-05 03:51:22  25.96MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.4.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.0 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-09-05 03:51:22  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-09-05 03:51:22  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.0
                        
# 2024-09-05 03:51:22  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-09-05 03:51:22  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-09-05 03:51:22  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.4.1
                        
# 2024-08-13 17:27:24  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-08-13 17:27:24  77.86MB 
/bin/sh -c #(nop) ADD file:2f8a54a5efd080fb81efea702b4e3e07d946eec7563fb2281bd28950c10ec462 in / 
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Created": "2024-09-04T19:55:10.506182709Z",
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    "Author": "",
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        "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:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "PYTORCH_VERSION=2.4.1"
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    "Architecture": "amd64",
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