Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.1-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-cuda12.1-cudnn9-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-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-cuda12.1-cudnn9-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.1-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-cuda12.1-cudnn9-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime'

镜像构建历史

# 2024-09-05 03:54:48  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-09-05 03:54:48  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.4.1
                        
# 2024-09-05 03:54:48  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 03:54:48  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 03:54:48  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-09-05 03:54:48  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-09-05 03:54:48  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 03:54:48  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=12.1.1 /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 03:54:48  5.82GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-09-05 03:51:20  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=12.1.1 /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 03:51:20  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-09-05 03:51:20  0.00B 定义构建参数
ARG CUDA_VERSION=12.1.1
                        
# 2024-09-05 03:51:20  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-09-05 03:51:20  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-09-05 03:51:20  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

{
    "Id": "sha256:d4fb707a1b5f98ac29746cd6eceb94c4de567d4187938ec6720d6a2c7d93bf09",
    "RepoTags": [
        "pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime"
    ],
    "RepoDigests": [
        "pytorch/pytorch@sha256:ac7c098a81512e719afa5d2d497f812d7db3498f340a4b819c69cb7b3b257126",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:ac7c098a81512e719afa5d2d497f812d7db3498f340a4b819c69cb7b3b257126"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-09-04T19:54:48.842135431Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "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"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 5928234824,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/c4da30c9912d50c2032f76c039bda56f0ad8d14e39cde51da3539d655daf8f8e/diff:/var/lib/docker/overlay2/4a93c47158dc6f4b4887b186678e9e1fb173bd098ce066fd6d39f43aa9bd2d9f/diff:/var/lib/docker/overlay2/ed47312de2201d19743d2d65a2a7ad212b9235c6d10666ee4bd3dd5fdcf99167/diff:/var/lib/docker/overlay2/882e7b3528313fab20781b85b9809801d277371b8ec812271c547caf66476243/diff",
            "MergedDir": "/var/lib/docker/overlay2/2415a7c68d75b6d63588450fa14f08dad7f3c36745b85a6b51e566fc4a69e858/merged",
            "UpperDir": "/var/lib/docker/overlay2/2415a7c68d75b6d63588450fa14f08dad7f3c36745b85a6b51e566fc4a69e858/diff",
            "WorkDir": "/var/lib/docker/overlay2/2415a7c68d75b6d63588450fa14f08dad7f3c36745b85a6b51e566fc4a69e858/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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    "Metadata": {
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}