Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0  ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0  ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0

Shell快速替换命令

sed -i 's#ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0  ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0  ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0'

镜像构建历史

# 2026-11-06 10:56:43  688.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -r requirements.txt # buildkit
                        
# 2026-11-06 10:56:22  70.00B 复制新文件或目录到容器中
COPY cmd/trainers/torchtune/requirements.txt . # buildkit
                        
# 2026-11-06 10:56:22  243.29MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update && apt-get install -y --no-install-recommends build-essential     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-11-06 10:56:08  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 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

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    "Id": "sha256:28150c505bd3d5575ca881663308c343194897b2fa8cb603f913b97f2270454e",
    "RepoTags": [
        "ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer:v2.4.0"
    ],
    "RepoDigests": [
        "ghcr.io/kubeflow/trainer/torchtune-trainer@sha256:f14482999350c98129247c19d3ada632266f9a6f1ea682a5b769ee58260bf145",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/torchtune-trainer@sha256:94e3926ab1c9d690d7f878e20070029e78c396b94d59128471c09d086d4b2e50"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-11-06T02:56:43.857877313Z",
    "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": 8902283050,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/58d1270e99da74744ed1760d0a6dccfea4741a8491e3e1154866163fd197d953/merged",
            "UpperDir": "/var/lib/docker/overlay2/58d1270e99da74744ed1760d0a6dccfea4741a8491e3e1154866163fd197d953/diff",
            "WorkDir": "/var/lib/docker/overlay2/58d1270e99da74744ed1760d0a6dccfea4741a8491e3e1154866163fd197d953/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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    "Metadata": {
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}