docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2 linux/amd64

docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2 - 国内下载镜像源 浏览次数:9
源镜像 docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2
镜像ID sha256:144dcdd4ff3470ca038751ea0e7c385af91bd26b0572aaf29392fe2786c362eb
镜像TAG 0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2
大小 9.71GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /examples
OS/平台 linux/amd64
浏览量 9 次
贡献者
镜像创建 2024-04-09T07:23:36.881500448Z
同步时间 2025-11-23 13:17
更新时间 2025-11-23 16:53
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin CUDA_VERSION=10.1.243 CUDA_PKG_VERSION=10-1=10.1.243-1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_REQUIRE_CUDA=cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 NCCL_VERSION=2.7.8-1+cuda10.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs TENSORFLOW_VERSION=2.3.0 PYTORCH_VERSION=1.6.0 TORCHVISION_VERSION=0.7.0 CUDNN_VERSION=7.6.5.32-1+cuda10.1 MXNET_VERSION=1.6.0.post0 PYTHON_VERSION=3.7
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2  docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2  docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2

Shell快速替换命令

sed -i 's#sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2#' 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/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2  docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2  docker.io/sincerityhun/horovod:0.20.0-tf2.3.0-torch1.6.0-mxnet1.6.0.post0-py3.7-cuda10.1-ver2'

镜像构建历史


# 2024-04-09 15:23:36  3.83KB 复制新文件或目录到容器中
COPY tensorflow2_mnist_elastic.py /examples/elastic/sincerityhun_tensorflow2_mnist_elastic.py # buildkit
                        
# 2024-04-09 15:23:36  0.00B 执行命令并创建新的镜像层
RUN /bin/bash -cu touch /examples/elastic/sincerityhun_tensorflow2_mnist_elastic.py # buildkit
                        
# 2024-04-09 15:23:36  9.16KB 复制新文件或目录到容器中
COPY pytorch_mnist_elastic.py /examples/elastic/sincerityhun_pytorch_mnist_elastic.py # buildkit
                        
# 2024-04-09 15:23:36  0.00B 执行命令并创建新的镜像层
RUN /bin/bash -cu touch /examples/elastic/sincerityhun_pytorch_mnist_elastic.py # buildkit
                        
# 2020-09-05 01:32:41  0.00B 
/bin/bash -cu #(nop) WORKDIR /examples
                        
# 2020-09-05 01:32:41  7.70MB 
|1 python=3.7 /bin/bash -cu apt-get install -y --no-install-recommends subversion &&     svn checkout https://github.com/horovod/horovod/trunk/examples &&     rm -rf /examples/.svn
                        
# 2020-09-05 01:32:33  1.58KB 
|1 python=3.7 /bin/bash -cu cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new &&     echo "    StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new &&     mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
                        
# 2020-09-05 01:32:32  10.87MB 
|1 python=3.7 /bin/bash -cu apt-get install -y --no-install-recommends openssh-client openssh-server &&     mkdir -p /var/run/sshd
                        
# 2020-09-05 01:32:25  350.32MB 
|1 python=3.7 /bin/bash -cu ldconfig /usr/local/cuda/targets/x86_64-linux/lib/stubs &&     MAKEFLAGS="-j1" HOROVOD_GPU_OPERATIONS=NCCL HOROVOD_WITH_TENSORFLOW=1 HOROVOD_WITH_PYTORCH=1 HOROVOD_WITH_MXNET=1          pip install --global-option="--quiet" --no-cache-dir horovod &&     ldconfig
                        
# 2020-09-05 01:20:21  3.09MB 
|1 python=3.7 /bin/bash -cu pip install cffi>=1.4.0
                        
# 2020-09-05 01:20:18  11.93MB 
|1 python=3.7 /bin/bash -cu mkdir /tmp/openmpi &&     cd /tmp/openmpi &&     wget https://www.open-mpi.org/software/ompi/v4.0/downloads/openmpi-4.0.0.tar.gz &&     tar zxf openmpi-4.0.0.tar.gz &&     cd openmpi-4.0.0 &&     ./configure --enable-orterun-prefix-by-default &&     make -j $(nproc) all &&     make install &&     ldconfig &&     rm -rf /tmp/openmpi
                        
# 2020-09-05 01:10:27  1.92GB 
|1 python=3.7 /bin/bash -cu pip install mxnet-cu101==${MXNET_VERSION}
                        
# 2020-09-05 01:08:47  2.18GB 
|1 python=3.7 /bin/bash -cu PYTAGS=$(python -c "from packaging import tags; tag = list(tags.sys_tags())[0]; print(f'{tag.interpreter}-{tag.abi}')") &&     pip install https://download.pytorch.org/whl/cu101/torch-${PYTORCH_VERSION}%2Bcu101-${PYTAGS}-linux_x86_64.whl         https://download.pytorch.org/whl/cu101/torchvision-${TORCHVISION_VERSION}%2Bcu101-${PYTAGS}-linux_x86_64.whl
                        
# 2020-09-05 01:06:53  1.43GB 
|1 python=3.7 /bin/bash -cu pip install tensorflow==${TENSORFLOW_VERSION}                 keras                 h5py
                        
# 2020-09-05 01:05:33  5.26MB 
|1 python=3.7 /bin/bash -cu pip install future typing packaging
                        
# 2020-09-05 01:05:28  14.54MB 
|1 python=3.7 /bin/bash -cu curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py
                        
# 2020-09-05 01:05:20  18.00B 
|1 python=3.7 /bin/bash -cu ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python
                        
# 2020-09-05 01:05:18  940.03MB 
|1 python=3.7 /bin/bash -cu apt-get update && apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends         build-essential         cmake         g++-4.8         git         curl         vim         wget         ca-certificates         libcudnn7=${CUDNN_VERSION}         libnccl2=${NCCL_VERSION}         libnccl-dev=${NCCL_VERSION}         libjpeg-dev         libpng-dev         python${PYTHON_VERSION}         python${PYTHON_VERSION}-dev         python${PYTHON_VERSION}-distutils         librdmacm1         libibverbs1         ibverbs-providers
                        
# 2020-09-05 01:03:46  0.00B 
/bin/bash -cu #(nop)  SHELL [/bin/bash -cu]
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV PYTHON_VERSION=3.7
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ARG python=3.7
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV MXNET_VERSION=1.6.0.post0
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV NCCL_VERSION=2.7.8-1+cuda10.1
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV CUDNN_VERSION=7.6.5.32-1+cuda10.1
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV TORCHVISION_VERSION=0.7.0
                        
# 2020-09-05 01:03:45  0.00B 
/bin/sh -c #(nop)  ENV PYTORCH_VERSION=1.6.0
                        
# 2020-09-05 01:03:44  0.00B 
/bin/sh -c #(nop)  ENV TENSORFLOW_VERSION=2.3.0
                        
# 2019-12-06 06:41:23  0.00B 
/bin/sh -c #(nop)  ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2019-12-06 06:41:10  1.61GB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends         cuda-nvml-dev-$CUDA_PKG_VERSION         cuda-command-line-tools-$CUDA_PKG_VERSION cuda-libraries-dev-$CUDA_PKG_VERSION         cuda-minimal-build-$CUDA_PKG_VERSION         libnccl-dev=$NCCL_VERSION-1+cuda10.1 libcublas-dev=10.2.1.243-1 &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-12-06 06:38:45  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-12-06 06:38:26  1.12GB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION libcublas10=10.2.1.243-1 libnccl2=$NCCL_VERSION-1+cuda10.1 &&     apt-mark hold libnccl2 &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-11-28 04:00:22  0.00B 
/bin/sh -c #(nop)  ENV NCCL_VERSION=2.4.8
                        
# 2019-11-28 04:00:21  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-11-28 04:00:08  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_REQUIRE_CUDA=cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411
                        
# 2019-11-28 04:00:06  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2019-11-28 04:00:05  0.00B 
/bin/sh -c #(nop)  ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2019-11-28 03:59:56  0.00B 
/bin/sh -c #(nop)  ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2019-11-28 03:59:55  0.00B 
/bin/sh -c #(nop)  ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2019-11-28 03:59:53  46.00B 
/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
                        
# 2019-11-28 03:59:51  25.07MB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends         cuda-cudart-$CUDA_PKG_VERSION cuda-compat-10-1 && ln -s cuda-10.1 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/*
                        
# 2019-11-28 03:59:39  0.00B 
/bin/sh -c #(nop)  ENV CUDA_PKG_VERSION=10-1=10.1.243-1
                        
# 2019-11-28 03:59:39  0.00B 
/bin/sh -c #(nop)  ENV CUDA_VERSION=10.1.243
                        
# 2019-11-28 03:59:38  16.53MB 
/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/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list &&     echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list &&     apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/*
                        
# 2019-11-28 03:57:46  0.00B 
/bin/sh -c #(nop)  LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2019-11-01 06:20:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2019-11-01 06:20:37  7.00B 
/bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container
                        
# 2019-11-01 06:20:36  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
                        
# 2019-11-01 06:20:36  987.49KB 
/bin/sh -c [ -z "$(apt-get indextargets)" ]
                        
# 2019-11-01 06:20:35  63.21MB 
/bin/sh -c #(nop) ADD file:a48a5dc1b9dbfc632f6cf86fe27b770b63f07a115c98c4465dc184e303a4efa1 in / 
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
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        "AttachStdin": false,
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        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "CUDA_VERSION=10.1.243",
            "CUDA_PKG_VERSION=10-1=10.1.243-1",
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            "NCCL_VERSION=2.7.8-1+cuda10.1",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "TENSORFLOW_VERSION=2.3.0",
            "PYTORCH_VERSION=1.6.0",
            "TORCHVISION_VERSION=0.7.0",
            "CUDNN_VERSION=7.6.5.32-1+cuda10.1",
            "MXNET_VERSION=1.6.0.post0",
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    "Architecture": "amd64",
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