Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime  docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime  docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime

Shell快速替换命令

sed -i 's#pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime#' 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/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime  docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime  docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime'

镜像构建历史

# 2022-08-06 01:40:38  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2022-08-06 01:40:38  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v1.12.1-rc5
                        
# 2022-08-06 01:40:38  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-08-06 01:40:38  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-08-06 01:40:38  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-08-06 01:40:38  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
                        
# 2022-08-06 01:40:38  5.83GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2022-08-06 01:33:52  32.33MB 执行命令并创建新的镜像层
RUN |1 PYTORCH_VERSION=v1.12.1-rc5 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-08-06 01:33:52  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2022-08-06 01:33:52  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2022-08-02 09:30:42  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-08-02 09:30:42  63.15MB 
/bin/sh -c #(nop) ADD file:0eb7f0555d03ff4f0755bba2c3d133e68737888f41390c17710f64b70c8e662a in / 
                        
                    

镜像信息

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        "Env": [
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            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "PYTORCH_VERSION=v1.12.1-rc5"
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