docker.io/fotstrt/orion-ae:v1 linux/amd64

docker.io/fotstrt/orion-ae:v1 - 国内下载镜像源 浏览次数:106
镜像描述:

该镜像是基于docker.io/fotstrt/orion-ae的官方镜像，由Fotstrt维护。没有找到详细的描述信息，可能是私有仓库或较新的镜像。

源镜像 docker.io/fotstrt/orion-ae:v1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1
镜像ID sha256:ac7ceba1bffcf003f71c8377db2bf201ae07cfef0c2b1d363fa669d5c01b4f58
镜像TAG v1
大小 20.80GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD bash
启动入口
工作目录
OS/平台 linux/amd64
浏览量 106 次
贡献者 wq*****7@gmail.com
镜像创建 2023-09-28T20:58:17.501160075Z
同步时间 2024-09-14 00:54
更新时间 2024-12-19 17:49
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 NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=10.2 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 NV_CUDA_CUDART_VERSION=10.2.89-1 NV_ML_REPO_ENABLED=1 NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 CUDA_VERSION=10.2.89 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=10.2.89-1 NV_NVTX_VERSION=10.2.89-1 NV_LIBNPP_VERSION=10.2.89-1 NV_LIBCUSPARSE_VERSION=10.2.89-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas10 NV_LIBCUBLAS_VERSION=10.2.2.89-1 NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1 NCCL_VERSION=2.11.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda10.2 NV_CUDA_CUDART_DEV_VERSION=10.2.89-1 NV_NVML_DEV_VERSION=10.2.89-1 NV_LIBCUSPARSE_DEV_VERSION=10.2.89-1 NV_LIBNPP_DEV_VERSION=10.2.89-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev NV_LIBCUBLAS_DEV_VERSION=10.2.2.89-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev=10.2.2.89-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_VERSION=2.11.4-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.11.4-1+cuda10.2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_PACKAGE_VERSION=7.6.5.32-1 NV_CUDNN_VERSION=7.6.5.32 NV_CUDNN_PACKAGE_NAME=libcudnn7 NV_CUDNN_PACKAGE=libcudnn7=7.6.5.32-1+cuda10.2 NV_CUDNN_PACKAGE_DEV=libcudnn7-dev=7.6.5.32-1+cuda10.2 CUDNN_VERSION=7.6.5.32
镜像标签
7.6.5.32: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer

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/fotstrt/orion-ae:v1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1  docker.io/fotstrt/orion-ae:v1

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1  docker.io/fotstrt/orion-ae:v1

Shell快速替换命令 

sed -i 's#fotstrt/orion-ae:v1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1#' 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/fotstrt/orion-ae:v1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1  docker.io/fotstrt/orion-ae:v1'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/fotstrt/orion-ae:v1  docker.io/fotstrt/orion-ae:v1'

镜像历史

大小 创建时间 层信息
79.40KB 2023-09-29 04:58:17 bash
6.88GB 2023-09-28 03:31:39 bash
754.35MB 2023-09-27 06:07:42 bash
9.21GB 2023-09-26 23:53:13 bash
892.97MB 2022-04-04 01:33:55 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-04-04 01:33:55 LABEL com.nvidia.cudnn.version=7.6.5.32
0.00B 2022-04-04 01:33:55 ENV CUDNN_VERSION=7.6.5.32
0.00B 2022-04-04 01:33:55 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-04-04 01:33:55 ARG TARGETARCH
0.00B 2022-04-04 01:33:55 ENV NV_CUDNN_PACKAGE_DEV=libcudnn7-dev=7.6.5.32-1+cuda10.2
0.00B 2022-04-04 01:33:55 ENV NV_CUDNN_PACKAGE=libcudnn7=7.6.5.32-1+cuda10.2
0.00B 2022-04-04 01:33:55 ENV NV_CUDNN_PACKAGE_NAME=libcudnn7
0.00B 2022-04-04 01:33:55 ENV NV_CUDNN_VERSION=7.6.5.32
0.00B 2022-04-04 01:33:55 ENV NV_CUDNN_PACKAGE_VERSION=7.6.5.32-1
0.00B 2022-04-04 01:32:45 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
363.10KB 2022-04-04 01:32:45 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
1.71GB 2022-04-04 01:32:44 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-nvml-dev-10-2=${NV_NVML_DEV_VERSION} cuda-command-line-tools-10-2=${NV_CUDA_LIB_VERSION} cuda-nvprof-10-2=${NV_CUDA_LIB_VERSION} cuda-npp-dev-10-2=${NV_LIBNPP_DEV_VERSION} cuda-libraries-dev-10-2=${NV_CUDA_LIB_VERSION} cuda-minimal-build-10-2=${NV_CUDA_LIB_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-04-04 01:32:44 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-04-04 01:32:44 ARG TARGETARCH
0.00B 2022-04-04 01:32:44 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.11.4-1+cuda10.2
0.00B 2022-04-04 01:32:44 ENV NCCL_VERSION=2.11.4-1
0.00B 2022-04-04 01:32:44 ENV NV_LIBNCCL_DEV_VERSION=2.11.4-1
0.00B 2022-04-04 01:32:44 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2022-04-04 01:32:44 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev=10.2.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_LIBCUBLAS_DEV_VERSION=10.2.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev
0.00B 2022-04-04 01:32:44 ENV NV_LIBNPP_DEV_VERSION=10.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_LIBCUSPARSE_DEV_VERSION=10.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_NVML_DEV_VERSION=10.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_CUDA_CUDART_DEV_VERSION=10.2.89-1
0.00B 2022-04-04 01:32:44 ENV NV_CUDA_LIB_VERSION=10.2.89-1
251.68KB 2022-04-04 01:29:32 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBNCCL_PACKAGE_NAME} ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
1.24GB 2022-04-04 01:29:32 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-10-2=${NV_CUDA_LIB_VERSION} cuda-npp-10-2=${NV_LIBNPP_VERSION} cuda-nvtx-10-2=${NV_NVTX_VERSION} cuda-cusparse-10-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-04-04 01:29:32 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-04-04 01:29:32 ARG TARGETARCH
0.00B 2022-04-04 01:29:32 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda10.2
0.00B 2022-04-04 01:29:32 ENV NCCL_VERSION=2.11.4
0.00B 2022-04-04 01:29:32 ENV NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1
0.00B 2022-04-04 01:29:32 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2022-04-04 01:29:32 ENV NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-1
0.00B 2022-04-04 01:29:32 ENV NV_LIBCUBLAS_VERSION=10.2.2.89-1
0.00B 2022-04-04 01:29:32 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas10
0.00B 2022-04-04 01:29:32 ENV NV_LIBCUSPARSE_VERSION=10.2.89-1
0.00B 2022-04-04 01:29:32 ENV NV_LIBNPP_VERSION=10.2.89-1
0.00B 2022-04-04 01:29:32 ENV NV_NVTX_VERSION=10.2.89-1
0.00B 2022-04-04 01:29:32 ENV NV_CUDA_LIB_VERSION=10.2.89-1
0.00B 2022-04-04 01:29:32 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-04-04 01:29:32 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-04-04 01:29:32 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-04-04 01:29:32 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-04-04 01:29:32 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-04-04 01:29:32 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
27.18MB 2022-04-04 01:29:32 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-10-2=${NV_CUDA_CUDART_VERSION} cuda-compat-10-2 && ln -s cuda-10.2 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-04-04 01:29:32 ENV CUDA_VERSION=10.2.89
16.53MB 2022-04-04 01:29:32 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/ubuntu1804/${NVARCH}/7fa2af80.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${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
0.00B 2022-04-04 01:29:32 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-04-04 01:29:32 ARG TARGETARCH
0.00B 2022-04-04 01:29:32 ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64
0.00B 2022-04-04 01:29:32 ENV NV_ML_REPO_ENABLED=1
0.00B 2022-04-04 01:29:32 ENV NV_CUDA_CUDART_VERSION=10.2.89-1
0.00B 2022-04-04 01:29:32 ENV NVIDIA_REQUIRE_CUDA=cuda>=10.2 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441
0.00B 2022-04-04 01:29:32 ENV NVARCH=x86_64
0.00B 2022-03-18 13:30:27 /bin/sh -c #(nop) CMD ["bash"]
63.15MB 2022-03-18 13:30:26 /bin/sh -c #(nop) ADD file:f554512cb0acad99508554656767804e4821ece488fac0e46fd2c643a39f7021 in /

镜像信息 

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            "sha256:0e577f6b38b5a4f70d9919eb1cf4bfeed435b9eb0d681b4d6670ea0eb3231980"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-09-14T00:28:39.138708897+08:00"
    }
}

更多版本

docker.io/fotstrt/orion-ae:v1

linux/amd64 docker.io20.80GB2024-09-14 00:54
105