docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-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:2.1.2-cuda12.1-cudnn8-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-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:2.1.2-cuda12.1-cudnn8-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime  docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime'

镜像构建历史

# 2023-12-15 06:53:46  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2023-12-15 06:53:46  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.1.2
                        
# 2023-12-15 06:53:46  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-12-15 06:53:46  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-12-15 06:53:46  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-12-15 06:53:46  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
                        
# 2023-12-15 06:53:46  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.1.2 TRITON_VERSION=2.1.0+e6216047b8 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
                        
# 2023-12-15 06:53:44  7.10GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2023-12-15 06:46:03  46.87MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.1.2 TRITON_VERSION=2.1.0+e6216047b8 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
                        
# 2023-12-15 06:46:03  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2023-12-15 06:46:03  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2023-12-15 06:46:03  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2023-12-15 06:46:03  0.00B 定义构建参数
ARG TRITON_VERSION
                        
# 2023-12-15 06:46:03  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2023-11-28 13:17:41  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-11-28 13:17:41  72.81MB 
/bin/sh -c #(nop) ADD file:9169bb1d6ef21313aed17e924538fee03d858460ae6b05e01968457dfc043bd7 in / 
                        
# 2023-11-28 13:17:39  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-11-28 13:17:39  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-11-28 13:17:39  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-11-28 13:17:39  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-12-14T22:53:46.435893129Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/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=2.1.2"
        ],
        "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": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 7224079996,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/e3d117efa2501f325fe3228e994b03dfe164a934962d639eff9580d29ce15056/merged",
            "UpperDir": "/var/lib/docker/overlay2/e3d117efa2501f325fe3228e994b03dfe164a934962d639eff9580d29ce15056/diff",
            "WorkDir": "/var/lib/docker/overlay2/e3d117efa2501f325fe3228e994b03dfe164a934962d639eff9580d29ce15056/work"
        },
        "Name": "overlay2"
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    "RootFS": {
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