docker.io/daisukekobayashi/darknet:gpu-cv-cc75 linux/amd64

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75  docker.io/daisukekobayashi/darknet:gpu-cv-cc75

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75  docker.io/daisukekobayashi/darknet:gpu-cv-cc75

Shell快速替换命令

sed -i 's#daisukekobayashi/darknet:gpu-cv-cc75#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75#' 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/daisukekobayashi/darknet:gpu-cv-cc75 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75  docker.io/daisukekobayashi/darknet:gpu-cv-cc75'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/daisukekobayashi/darknet:gpu-cv-cc75  docker.io/daisukekobayashi/darknet:gpu-cv-cc75'

镜像构建历史

# 2022-08-23 16:32:49  4.30MB 
/bin/sh -c #(nop) COPY file:0b8295e8e290c70938de60a24fdec3c8e71a0700dfc52b658b0e3a241498da17 in /usr/local/bin/darknet 
                        
# 2022-08-23 16:23:26  345.23MB 
/bin/sh -c apt-get update       && apt-get install --no-install-recommends --no-install-suggests -y libopencv-highgui4.2       && rm -rf /var/lib/apt/lists/*
                        
# 2022-08-23 16:06:14  0.00B 
/bin/sh -c #(nop)  ENV SOURCE_COMMIT=96f08de6839eb1c125c7b86bffe1d3dde9570e5b
                        
# 2022-08-23 16:06:13  0.00B 
/bin/sh -c #(nop)  ARG SOURCE_COMMIT=unspecified
                        
# 2022-08-23 16:06:12  0.00B 
/bin/sh -c #(nop)  ENV SOURCE_BRANCH=master
                        
# 2022-08-23 16:06:11  0.00B 
/bin/sh -c #(nop)  ARG SOURCE_BRANCH=unspecified
                        
# 2022-08-23 16:06:10  0.00B 
/bin/sh -c #(nop)  ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-08-23 16:06:09  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=Daisuke Kobayashi <daisuke@daisukekobayashi.com>
                        
# 2022-07-12 05:08:14  1.31GB 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     ${NV_CUDNN_PACKAGE}     && apt-mark hold ${NV_CUDNN_PACKAGE_NAME}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-07-12 05:08:14  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.1.1.33
                        
# 2022-07-12 05:08:14  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-07-12 05:08:14  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-07-12 05:08:14  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.1.1.33-1+cuda11.2
                        
# 2022-07-12 05:08:14  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2022-07-12 05:08:14  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.1.1.33
                        
# 2022-07-12 04:52:38  252.10KB 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
                        
# 2022-07-12 04:52:37  1.79GB 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-11-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-2=${NV_NVTX_VERSION}     libcusparse-11-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-07-12 04:52:37  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-07-12 04:52:37  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.2
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.4.1.1043-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.4.1.1043-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.4.1.1152-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-2=11.3.2.152-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.2.152-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.2.152-1
                        
# 2022-07-12 04:52:37  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.2-1
                        
# 2022-07-12 04:49:09  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-07-12 04:49:09  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-07-12 04:49:09  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-07-12 04:49:09  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-07-12 04:49:09  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
                        
# 2022-07-12 04:49:09  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
                        
# 2022-07-12 04:49:09  33.46MB 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-11-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.2 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-07-12 04:48:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.2
                        
# 2022-07-12 04:48:58  18.73MB 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
                        
# 2022-07-12 04:48:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-07-12 04:48:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-07-12 04:48:58  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2022-07-12 04:48:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.152-1
                        
# 2022-07-12 04:48:58  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
                        
# 2022-07-12 04:48:58  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-06-07 06:21:12  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-06-07 06:21:11  72.77MB 
/bin/sh -c #(nop) ADD file:00dae10e79b05c4e1a3db053a1f85a4f38a39fe85cbbd88d74201a01a7dd59b5 in / 
                        
                    

镜像信息

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