docker.io/jitteam/devicequery:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jitteam/devicequery:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jitteam/devicequery:latest  docker.io/jitteam/devicequery:latest

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#jitteam/devicequery:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jitteam/devicequery: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/jitteam/devicequery:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jitteam/devicequery:latest  docker.io/jitteam/devicequery: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/jitteam/devicequery:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jitteam/devicequery:latest  docker.io/jitteam/devicequery:latest'

镜像构建历史

# 2019-07-23 16:31:18  0.00B 
/bin/sh -c #(nop)  CMD ["./deviceQuery"]
                        
# 2019-07-23 16:31:17  1.39MB 
/bin/sh -c make clean && make
                        
# 2019-07-23 16:31:10  0.00B 
/bin/sh -c #(nop) WORKDIR /tmp/samples/1_Utilities/deviceQuery
                        
# 2019-07-23 16:31:09  203.10MB 
/bin/sh -c #(nop) COPY dir:8185abde59e86cde78aa8db772b3ec751bde277d6de93b134fff08dc798f5836 in /tmp/samples 
                        
# 2019-07-23 16:30:59  332.65MB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends make g++
                        
# 2019-07-13 02:22:50  0.00B 
/bin/sh -c #(nop) CMD ["/bin/bash"]
                        
# 2019-07-13 02:22:50  0.00B 
/bin/sh -c #(nop) ENV NVIDIA_DRIVER_CAPABILITIES all
                        
# 2019-07-13 02:22:50  0.00B 
/bin/sh -c #(nop) ENV NVIDIA_VISIBLE_DEVICES all
                        
# 2019-07-13 02:22:49  84.05KB 
/bin/sh -c ldconfig
                        
# 2019-07-13 02:22:48  0.00B 
/bin/sh -c #(nop) ENV LD_LIBRARY_PATH /usr/local/cuda-10.0/targets/aarch64-linux/lib:${LD_LIBRARY_PATH}
                        
# 2019-07-13 02:22:48  0.00B 
/bin/sh -c #(nop) ENV PATH /usr/local/cuda-10.0/bin:/usr/local/cuda/bin:${PATH}
                        
# 2019-07-13 02:22:47  116.00B 
/bin/sh -c ln -s /usr/local/cuda-10.0 /usr/local/cuda &&     ln -s /usr/local/cuda-10.0/targets/aarch64-linux/include /usr/local/cuda/include &&     ln -s /usr/local/cuda-10.0/targets/aarch64-linux/lib /usr/local/cuda/lib64
                        
# 2019-07-13 02:22:45  942.68KB 
/bin/sh -c #(nop) COPY ./dst/lib64/libcudart_static.a /usr/local/cuda-10.0/targets/aarch64-linux/lib/
                        
# 2019-07-13 02:22:44  573.85KB 
/bin/sh -c #(nop) COPY ./dst/lib64/libcudadevrt.a /usr/local/cuda-10.0/targets/aarch64-linux/lib/
                        
# 2019-07-13 02:22:43  797.23KB 
/bin/sh -c #(nop) COPY ./dst/lib64/stubs /usr/local/cuda-10.0/targets/aarch64-linux/lib/stubs
                        
# 2019-07-13 02:22:41  14.54MB 
/bin/sh -c #(nop) COPY ./dst/include /usr/local/cuda-10.0/targets/aarch64-linux/include
                        
# 2019-07-13 02:22:39  58.61MB 
/bin/sh -c #(nop) COPY ./dst/bin /usr/local/cuda-10.0/bin
                        
# 2019-07-13 02:22:38  47.00B 
/bin/sh -c echo "/usr/local/cuda-10.0/targets/aarch64-linux/lib" >> /etc/ld.so.conf.d/nvidia.conf
                        
# 2019-07-13 02:22:36  110.00B 
/bin/sh -c mkdir -p /usr/share/egl/egl_external_platform.d/ && echo '{    "file_format_version" : "1.0.0",    "ICD" : {        "library_path" : "libnvidia-egl-wayland.so.1"    }}' > /usr/share/egl/egl_external_platform.d/nvidia_wayland.json
                        
# 2019-07-13 02:22:34  102.00B 
/bin/sh -c mkdir -p /usr/share/glvnd/egl_vendor.d/ && echo '{    "file_format_version" : "1.0.0",    "ICD" : {        "library_path" : "libEGL_nvidia.so.0"    }}' > /usr/share/glvnd/egl_vendor.d/10_nvidia.json
                        
# 2019-07-13 02:22:32  0.00B 
/bin/sh -c rm /usr/share/glvnd/egl_vendor.d/50_mesa.json
                        
# 2019-07-13 02:22:30  70.00B 
/bin/sh -c echo "/usr/lib/aarch64-linux-gnu/tegra" >> /etc/ld.so.conf.d/nvidia-tegra.conf &&     echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf
                        
# 2019-07-13 02:22:27  60.15MB 
/bin/sh -c apt-get update && apt-get --only-upgrade install -y --no-install-recommends     gstreamer1.0-plugins-base=1.14.4-1ubuntu1.1~ubuntu18.04.1     gstreamer1.0-alsa=1.14.4-1ubuntu1.1~ubuntu18.04.1     gstreamer1.0-gl=1.14.4-1ubuntu1.1~ubuntu18.04.1     gstreamer1.0-x=1.14.4-1ubuntu1.1~ubuntu18.04.1     libgstreamer-gl1.0-0=1.14.4-1ubuntu1.1~ubuntu18.04.1     apt     libapt-inst2.0     udev     libudev1     systemd     systemd-sysv     libzmq5 &&     apt-get install -y freeglut3-dev libglu1-mesa-dev &&     rm -rf /var/lib/apt/lists/* && apt-get clean
                        
# 2019-07-09 05:52:42  180.50MB 
/bin/sh -c apt-get update && apt-get install -y 
                        
# 2019-07-03 07:53:22  714.24MB 
/bin/sh -c #(nop) ADD sample_fs_bionic_base_mm_arm64.tbz2 /
                        
                    

镜像信息

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