docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-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:2.9.1-cuda12.8-cudnn9-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.9.1-cuda12.8-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:2.9.1-cuda12.8-cudnn9-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime  docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime'

镜像构建历史

# 2025-11-13 03:30:31  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-11-13 03:30:31  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.9.1
                        
# 2025-11-13 03:30:31  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
                        
# 2025-11-13 03:30:31  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-11-13 03:30:31  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-11-13 03:30:31  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-11-13 03:30:31  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
                        
# 2025-11-13 03:30:31  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.9.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.8.1 /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
                        
# 2025-11-13 03:30:31  7.87GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-11-13 03:25:44  25.98MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.9.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.8.1 /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
                        
# 2025-11-13 03:25:44  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2025-11-13 03:25:44  0.00B 定义构建参数
ARG CUDA_VERSION=12.8.1
                        
# 2025-11-13 03:25:44  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-11-13 03:25:44  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2025-11-13 03:25:44  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.9.1
                        
# 2025-10-01 15:05:10  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 15:05:09  77.87MB 
/bin/sh -c #(nop) ADD file:32d41b6329e8f89fa4ac92ef97c04b7cfd5e90fb74e1509c3e27d7c91195b7c7 in / 
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:9a925cca9d307c87d9ee4deef94aad763d9ee0717670d8e29dd0ed2c9d1edc3d",
    "RepoTags": [
        "pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime"
    ],
    "RepoDigests": [
        "pytorch/pytorch@sha256:7b324d212a4450795b49edba9949b7cdc72429148a64e974334bfe5774d51385",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:7b324d212a4450795b49edba9949b7cdc72429148a64e974334bfe5774d51385"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-11-12T19:30:31.786189581Z",
    "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=2.9.1"
        ],
        "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": 7970961570,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/33fe71e084208e05840f7cddbc2d4f0fc3d895df43e85bbdad5dd22b8c785c1d/diff:/var/lib/docker/overlay2/cf0f4dc85d759de2f2deab171dbf0afe4b212154c01a2c050dccf06d8dac1a05/diff:/var/lib/docker/overlay2/e5da91b29a1079c92bc5aa203bfcef617822f56659ff70dccf9bb4aeed219d18/diff:/var/lib/docker/overlay2/99a8a7af45ffa1dc430375fde8c3084ee85be5839f687d98d2857fb82cd37c67/diff",
            "MergedDir": "/var/lib/docker/overlay2/73c0b0002193b3e74d0d586ba1d87eb90f0b9e3d38052260d1bd41b8b2e87f33/merged",
            "UpperDir": "/var/lib/docker/overlay2/73c0b0002193b3e74d0d586ba1d87eb90f0b9e3d38052260d1bd41b8b2e87f33/diff",
            "WorkDir": "/var/lib/docker/overlay2/73c0b0002193b3e74d0d586ba1d87eb90f0b9e3d38052260d1bd41b8b2e87f33/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:767e56ba346ae714b6e6b816baa839051145ed78cfa0e4524a86cc287b0c4b00",
            "sha256:96bd405616abf736648a20f6d2df39dc78f7d9dff8e92dbaa3dbda4c2544826b",
            "sha256:64e10de232400a391cfa6739cd39b6bb6713369801858537a7f9d1e2ee8f878b",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:e86808397b1b613c1513884ea92b79b8711a1ec5e9ea92caebcac7a2bd0fa997"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-12-12T00:26:51.382755663+08:00"
    }
}