Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda11.8-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-cuda11.8-cudnn9-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-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-cuda11.8-cudnn9-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda11.8-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-cuda11.8-cudnn9-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime'

镜像构建历史

# 2024-09-05 03:54:58  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-09-05 03:54:58  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.4.1
                        
# 2024-09-05 03:54:58  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 03:54:58  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 03:54:58  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-09-05 03:54:58  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-09-05 03:54:58  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 03:54:58  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=11.8.0 /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 03:54:58  6.25GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2024-09-05 03:51:19  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=11.8.0 /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 03:51:19  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2024-09-05 03:51:19  0.00B 定义构建参数
ARG CUDA_VERSION=11.8.0
                        
# 2024-09-05 03:51:19  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2024-09-05 03:51:19  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2024-09-05 03:51:19  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": "sha256:8a0d0afe14cb52fb29bbf8c7bbf835922733f181232f5bd87be8b9ac1ded12cf",
    "RepoTags": [
        "pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime"
    ],
    "RepoDigests": [
        "pytorch/pytorch@sha256:d8be98daa06ae251829c5c4e44a8debf5a154caee4a97dee6591beea72863ac6",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:d8be98daa06ae251829c5c4e44a8debf5a154caee4a97dee6591beea72863ac6"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-09-04T19:54:58.968969594Z",
    "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": 6355309341,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/ea67b33616863f855ab2b2184ec55235824e5fbd2851722645acc0f99819f596/diff:/var/lib/docker/overlay2/062417b09ff62fdc3ca75a77746112630d1cee7d86d5ee606b70c11d59586cde/diff:/var/lib/docker/overlay2/8fd402f7dca9c33b1acf73d73142f12fdaa7f87b2e857ce66d68f7d082ef0caf/diff:/var/lib/docker/overlay2/2b60ad443dae8b57121baf2126916d1f4700d01739c63868b94ac830256a83d6/diff",
            "MergedDir": "/var/lib/docker/overlay2/ee7b29c51519f8a837224ed541c79666476cee3d425a0752adcb37f659596f11/merged",
            "UpperDir": "/var/lib/docker/overlay2/ee7b29c51519f8a837224ed541c79666476cee3d425a0752adcb37f659596f11/diff",
            "WorkDir": "/var/lib/docker/overlay2/ee7b29c51519f8a837224ed541c79666476cee3d425a0752adcb37f659596f11/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:1b9b7346fee7abbc7f5538eaa23548bd05a45abe8daf6794024be0c8ad7d60bb",
            "sha256:aed117f0148be166f7f07a156ba0fd6392491a67dc7af5c894c64bd63ef09b99",
            "sha256:ad2a06a00c48e74c8dbd778b66c1fb3a73532b9d9942baff8a055156cec7539b",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:3d634f5e18fd826a67af6b88713803e7e606cb2edb3f37b2ca47fef78eea6dca"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-09-28T00:51:21.993664289+08:00"
    }
}