docker.io/hi20240217/pub:bevfusion_training linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training  docker.io/hi20240217/pub:bevfusion_training

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training  docker.io/hi20240217/pub:bevfusion_training

Shell快速替换命令

sed -i 's#hi20240217/pub:bevfusion_training#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training#' 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/hi20240217/pub:bevfusion_training && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training  docker.io/hi20240217/pub:bevfusion_training'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training  docker.io/hi20240217/pub:bevfusion_training'

镜像构建历史

# 2026-05-07 19:20:45  8.73MB 
/bin/bash
                        
# 2026-05-06 15:16:46  767.13MB 
/bin/bash
                        
# 2026-04-29 14:56:27  121.29KB 
/bin/bash
                        
# 2026-04-29 14:26:27  9.28MB 
/bin/bash
                        
# 2026-04-29 12:48:45  8.41GB 
/bin/bash
                        
# 2023-11-10 16:25:55  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 16:25:55  374.41KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:25:54  3.08GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libtinfo5 libncursesw5     cuda-cudart-dev-11-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-3=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-3=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:25:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:25:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.9-1+cuda11.3
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.9-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.3.111-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-3=11.3.0-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.3.0-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.3.95-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.3.58-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.3.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2023-11-10 16:15:23  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:15:23  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:15:23  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 16:15:23  256.87KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:15:23  1.74GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-3=${NV_NVTX_VERSION}     libcusparse-11-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:15:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:15:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.5.1.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.3.95-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.3.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:08:24  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 16:08:24  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-11-10 16:08:24  34.23MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.3.1
                        
# 2023-11-10 16:08:13  18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:08:13  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:08:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.3.109-1
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:b60cf7655d90a27bb21787325abae4a07c7d586b29c0e8d834c5a8281a5c5b79",
    "RepoTags": [
        "hi20240217/pub:bevfusion_training",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub:bevfusion_training"
    ],
    "RepoDigests": [
        "hi20240217/pub@sha256:80efde295257accd6bff1241c7c6ae042c2a5dfe322de1ca9e35c40c6fff00ca",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/hi20240217/pub@sha256:eeb3fa3ed5d0953ec6f5fbd10d0bdc201afb922e0b8b5eb13e43bdf8d46aeba3"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2026-05-07T11:20:45.080392859Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "24.0.5",
    "Author": "",
    "Config": {
        "Hostname": "bevfusion-train",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": true,
        "OpenStdin": true,
        "StdinOnce": false,
        "Env": [
            "NVIDIA_VISIBLE_DEVICES=all",
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.3 brand=tesla,driver\u003e=418,driver\u003c419 driver\u003e=450",
            "NV_CUDA_CUDART_VERSION=11.3.109-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3",
            "CUDA_VERSION=11.3.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.3.1-1",
            "NV_NVTX_VERSION=11.3.109-1",
            "NV_LIBNPP_VERSION=11.3.3.95-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1",
            "NV_LIBCUSPARSE_VERSION=11.6.0.109-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3",
            "NV_LIBCUBLAS_VERSION=11.5.1.109-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1",
            "NCCL_VERSION=2.9.9-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.3.109-1",
            "NV_NVML_DEV_VERSION=11.3.58-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1",
            "NV_LIBNPP_DEV_VERSION=11.3.3.95-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=11.3.0-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-3=11.3.0-1",
            "NV_NVPROF_VERSION=11.3.111-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.9-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.9-1+cuda11.3",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "bevfusion_training:v1",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "20.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 14135169045,
    "GraphDriver": {
        "Data": {
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            "MergedDir": "/var/lib/docker/overlay2/0b6c7dcc0197e69c6629e055b8acb8879e3a81a460872b75192cee3153a11be3/merged",
            "UpperDir": "/var/lib/docker/overlay2/0b6c7dcc0197e69c6629e055b8acb8879e3a81a460872b75192cee3153a11be3/diff",
            "WorkDir": "/var/lib/docker/overlay2/0b6c7dcc0197e69c6629e055b8acb8879e3a81a460872b75192cee3153a11be3/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:6c3e7df31590f02f10cb71fc4eb27653e9b428df2e6e5421a455b062bd2e39f9",
            "sha256:ce8a348429442989d235ee596c241a88d7d294980ee15af3d1c3bcd24c01ea85",
            "sha256:2d89da12200210082900bbfb382900c160775b9b2e3c726859b39434043be234",
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