quay.io/yuanczx/il:dil linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil  quay.io/yuanczx/il:dil

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil  quay.io/yuanczx/il:dil

Shell快速替换命令

sed -i 's#quay.io/yuanczx/il:dil#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil  quay.io/yuanczx/il:dil'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil  quay.io/yuanczx/il:dil'

镜像构建历史

# 2025-03-14 14:59:02  1.30KB 复制新文件或目录到容器中
COPY fish_variables /root/.config/fish/fish_variables # buildkit
                        
# 2025-03-14 14:59:02  49.83MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget -O /opt/neovim.tar.gz https://github.com/neovim/neovim/releases/download/v0.10.4/nvim-linux-x86_64.tar.gz    && tar -zxvf /opt/neovim.tar.gz -C /opt/    && ln -s /opt/nvim-linux-x86_64/bin/nvim /usr/bin/nvim    && chsh -s /bin/fish    && /opt/conda/condabin/conda init fish    && ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime # buildkit
                        
# 2025-03-14 14:59:00  407.80MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y    && apt-get install tmux git libgl1-mesa-glx wget fish -y    && DEBIAN_FRONTEND=noninteractive apt-get install libglib2.0-0 -y # buildkit
                        
# 2025-03-14 14:58:37  446.74MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install matplotlib scikit-learn future tensorboard pot timm # buildkit
                        
# 2025-01-30 01:27:42  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-01-30 01:27:42  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.6.0
                        
# 2025-01-30 01:27:42  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
                        
# 2025-01-30 01:27:42  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-01-30 01:27:42  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-01-30 01:27:42  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-01-30 01:27:42  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
                        
# 2025-01-30 01:27:42  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /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
                        
# 2025-01-30 01:27:41  5.95GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2025-01-30 01:23:52  25.98MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.6.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.4.1 /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
                        
# 2025-01-30 01:23:52  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2025-01-30 01:23:52  0.00B 定义构建参数
ARG CUDA_VERSION=12.4.1
                        
# 2025-01-30 01:23:52  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2025-01-30 01:23:52  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2025-01-30 01:23:52  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.6.0
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:07fb6c111d451194ec41d4dcc25806f6b71e140fa8796ae307ecb4844121a2ad",
    "RepoTags": [
        "quay.io/yuanczx/il:dil",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il:dil"
    ],
    "RepoDigests": [
        "quay.io/yuanczx/il@sha256:a9afda86cf58fdec4f4c93d8157b93555eec73b6b2b326eb49c916e6e8fa5fca",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/yuanczx/il@sha256:a9afda86cf58fdec4f4c93d8157b93555eec73b6b2b326eb49c916e6e8fa5fca"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-14T06:59:02.39977817Z",
    "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=2.6.0"
        ],
        "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": 6959604077,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/902545dd143bd678f7c6c210aaa3fd30b18d38f2226f7a16a70ff043dd8129f6/diff:/var/lib/docker/overlay2/69b7d4ed0f381eb66d583c4631d764566f46189918fcd604ef7b09ef5e545ccb/diff:/var/lib/docker/overlay2/62ecf592a644565c3ebe0740c8fcd7bca0b64ea0759d077a508a39f255ecf86a/diff:/var/lib/docker/overlay2/c66d98b322dd05bb10b9d30c67639b09ea3decedd8031dc552ef4ba09211b056/diff:/var/lib/docker/overlay2/18ed11eb84d1cf2668cb3ce1907183292b5d0566a55e4b74796fee58e0df3a98/diff:/var/lib/docker/overlay2/e610f8ac6c8395bb91e9886eb69be67eee5874444df7702cf3cdb2dfd6c477a8/diff:/var/lib/docker/overlay2/ceb92fe222bb9b98a75d7cf85a9a8c316d21035a748310acf06d836bde58c90b/diff:/var/lib/docker/overlay2/4cfb2ff6eb670d08d805fcc326973c76acabc424b2f6ce5f1903149f34750452/diff",
            "MergedDir": "/var/lib/docker/overlay2/c4925d07f6b76b026b430101fd0e81c708acb2f81325f05ce17b21bd2f589612/merged",
            "UpperDir": "/var/lib/docker/overlay2/c4925d07f6b76b026b430101fd0e81c708acb2f81325f05ce17b21bd2f589612/diff",
            "WorkDir": "/var/lib/docker/overlay2/c4925d07f6b76b026b430101fd0e81c708acb2f81325f05ce17b21bd2f589612/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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    },
    "Metadata": {
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    }
}