gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0 linux/amd64

gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0 - 国内下载镜像源 浏览次数:11

该镜像属于Kubeflow CI(持续集成)项目,用于测试基于PyTorch框架的分布式训练在MNIST数据集上的运行情况,通常用于验证分布式训练流程的正确性和稳定性。

源镜像 gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0
镜像ID sha256:d8c1d2abb593d58d67b82876bfc0a89dc275b324de3a0355e680acd7fd6c071c
镜像TAG 1.0
大小 2.81GB
镜像源 gcr.io
CMD
启动入口 python /var/mnist.py
工作目录 /var
OS/平台 linux/amd64
浏览量 11 次
贡献者
镜像创建 2019-03-07T18:46:23.255573607Z
同步时间 2026-03-03 11:16
环境变量
PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PYTHON_VERSION=3.6 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
镜像标签
nvidia_driver: com.nvidia.volumes.needed

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0  gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0  gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0

Shell快速替换命令

sed -i 's#gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0  gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0  gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0'

镜像构建历史


# 2019-03-08 02:46:23  0.00B 
/bin/sh -c #(nop)  ENTRYPOINT ["python" "/var/mnist.py"]
                        
# 2019-03-08 02:46:23  6.12KB 
/bin/sh -c #(nop) ADD file:b813911c11bae998abf12ecf3fb2d5f14b876fa20c987177de780dc1307a9a57 in /var 
                        
# 2019-03-08 02:46:23  0.00B 
/bin/sh -c #(nop) WORKDIR /var
                        
# 2019-03-08 02:46:22  8.09MB 
/bin/sh -c pip install tensorboardX==1.6.0
                        
# 2018-12-08 07:47:24  0.00B 
|1 cuda_version=cuda100 /bin/sh -c chmod -R a+w /workspace
                        
# 2018-12-08 07:47:23  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace
                        
# 2018-12-08 07:47:23  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2018-12-08 07:47:23  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2018-12-08 07:47:23  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2018-12-08 07:47:23  1.26GB 
|1 cuda_version=cuda100 /bin/sh -c conda install pytorch torchvision ${cuda_version} -c pytorch && /opt/conda/bin/conda clean -ya
                        
# 2018-12-08 07:43:17  0.00B 
/bin/sh -c #(nop)  ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2018-12-08 07:43:16  1.21GB 
|1 cuda_version=cuda100 /bin/sh -c curl -v -o ~/miniconda.sh -O  https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh  &&      chmod +x ~/miniconda.sh &&      ~/miniconda.sh -b -p /opt/conda &&      rm ~/miniconda.sh &&      /opt/conda/bin/conda install -y python=$PYTHON_VERSION conda-build pyyaml numpy ipython&&      /opt/conda/bin/conda clean -ya
                        
# 2018-12-08 07:41:43  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.6
                        
# 2018-12-08 07:41:43  220.21MB 
|1 cuda_version=cuda100 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends          build-essential          git          curl          ca-certificates          libjpeg-dev          libpng-dev &&      rm -rf /var/lib/apt/lists/*
                        
# 2018-12-08 07:41:22  0.00B 
/bin/sh -c #(nop)  LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2018-12-08 07:41:22  0.00B 
/bin/sh -c #(nop)  ARG cuda_version=cuda100
                        
# 2018-11-20 05:23:53  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2018-11-20 05:23:53  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2018-11-20 05:23:52  0.00B 
/bin/sh -c rm -rf /var/lib/apt/lists/*
                        
# 2018-11-20 05:23:51  745.00B 
/bin/sh -c set -xe 		&& echo '#!/bin/sh' > /usr/sbin/policy-rc.d 	&& echo 'exit 101' >> /usr/sbin/policy-rc.d 	&& chmod +x /usr/sbin/policy-rc.d 		&& dpkg-divert --local --rename --add /sbin/initctl 	&& cp -a /usr/sbin/policy-rc.d /sbin/initctl 	&& sed -i 's/^exit.*/exit 0/' /sbin/initctl 		&& echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup 		&& echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean 	&& echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean 	&& echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean 		&& echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages 		&& echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes 		&& echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests
                        
# 2018-11-20 05:23:51  116.38MB 
/bin/sh -c #(nop) ADD file:efec03b785a78c01a6ade862d9a309f500ffa9f5f9314be26621f7fda0d5dfb8 in / 
                        
                    

镜像信息

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更多版本

gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0

linux/amd64 gcr.io2.81GB2026-03-03 11:16
10