docker.io/gptbert/marker:latest 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/gptbert/marker:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gptbert/marker:latest  docker.io/gptbert/marker:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gptbert/marker:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gptbert/marker:latest  docker.io/gptbert/marker:latest

Shell快速替换命令

sed -i 's#gptbert/marker:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gptbert/marker:latest#' 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/gptbert/marker:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gptbert/marker:latest  docker.io/gptbert/marker:latest'

Ansible快速分发-Containerd

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

镜像构建历史

# 2024-05-30 15:30:56  8.89GB 
bash
                        
# 2023-12-16 23:32:44  12.20GB 
bash
                        
# 2021-09-18 03:12:35  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
                        
# 2021-09-18 03:12:35  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.1.1.33
                        
# 2021-09-18 03:12:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-09-18 03:12:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2021-09-18 03:12:35  0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
                        
# 2021-09-18 03:12:35  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.1.1.33-1+cuda11.2
                        
# 2021-09-18 03:12:35  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.1.1.33
                        
# 2021-09-18 02:46:44  252.08KB 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
                        
# 2021-09-18 02:46:44  1.73GB 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
                        
# 2021-09-18 02:46:44  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-09-18 02:46:44  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.2
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-2=11.3.1.68-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.3.1.68-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-2
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.3.1.68-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-2=11.2.1.68-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.2.1.68-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.2.67-1
                        
# 2021-09-18 02:46:44  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.2.0-1
                        
# 2021-09-18 02:41:59  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2021-09-18 02:41:59  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2021-09-18 02:41:59  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2021-09-18 02:41:59  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2021-09-18 02:41:59  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
                        
# 2021-09-18 02:41:59  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
                        
# 2021-09-18 02:41:58  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
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.2.0
                        
# 2021-09-18 02:41:39  18.28MB 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/${NVARCH}/7fa2af80.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     if [ ! -z ${NV_ML_REPO_ENABLED} ]; then echo "deb ${NV_ML_REPO_URL} /" > /etc/apt/sources.list.d/nvidia-ml.list; fi &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2021-09-18 02:41:39  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2021-09-18 02:41:39  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NV_ML_REPO_URL
ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NV_ML_REPO_ENABLED
ENV NV_ML_REPO_ENABLED=1
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-2
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.2.72-1
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.2 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450
                        
# 2021-09-18 02:41:39  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2021-08-31 09:20:56  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2021-08-31 09:20:55  72.78MB 
/bin/sh -c #(nop) ADD file:d2abf27fe2e8b0b5f4da68c018560c73e11c53098329246e3e6fe176698ef941 in / 
                        
                    

镜像信息

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