docker.io/savatar101/marker-api:0.3 linux/amd64

docker.io/savatar101/marker-api:0.3 - 国内下载镜像源 浏览次数:111 安全受验证的发布者-cognitivelab
🔧 Marker API Docker 镜像:docker.io/savatar101/marker-api
源镜像 docker.io/savatar101/marker-api:0.3
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3
镜像ID sha256:904770fd74e5225a672a5b51cafa1fb1457f9ecb5fdaa223a437b7cd81fb111a
镜像TAG 0.3
大小 16.25GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD python server.py --host 0.0.0.0 --port 8000
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 111 次
贡献者
镜像创建 2024-06-19T18:59:07.18617048Z
同步时间 2024-08-27 15:10
更新时间 2024-11-10 02:38
开放端口
8000/tcp
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>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 NV_CUDA_CUDART_VERSION=11.8.89-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 CUDA_VERSION=11.8.0 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.8.0-1 NV_NVTX_VERSION=11.8.86-1 NV_LIBNPP_VERSION=11.8.0.86-1 NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 NV_LIBCUSPARSE_VERSION=11.7.5.86-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 NV_LIBCUBLAS_VERSION=11.11.3.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 NCCL_VERSION=2.15.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=11.8.89-1 NV_NVML_DEV_VERSION=11.8.86-1 NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1 NV_LIBNPP_DEV_VERSION=11.8.0.86-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1 NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1 NV_NVPROF_VERSION=11.8.87-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.9.6.50 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda11.8
镜像标签
8.9.6.50: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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/savatar101/marker-api:0.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3  docker.io/savatar101/marker-api:0.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3  docker.io/savatar101/marker-api:0.3

Shell快速替换命令

sed -i 's#savatar101/marker-api:0.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3#' 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/savatar101/marker-api:0.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3  docker.io/savatar101/marker-api:0.3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/savatar101/marker-api:0.3  docker.io/savatar101/marker-api:0.3'

镜像历史

大小 创建时间 层信息
0.00B 2024-06-20 02:59:07 CMD ["python" "server.py" "--host" "0.0.0.0" "--port" "8000"]
0.00B 2024-06-20 02:59:07 EXPOSE map[8000/tcp:{}]
539.57MB 2024-06-20 02:59:07 RUN /bin/sh -c pip3 install --no-cache-dir -e . # buildkit
0.00B 2024-06-20 02:58:25 WORKDIR /app
6.75MB 2024-06-20 02:58:23 COPY . /app # buildkit
5.63GB 2024-06-20 02:58:23 RUN /bin/sh -c pip3 install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 # buildkit
330.93MB 2024-06-20 02:55:48 RUN /bin/sh -c apt-get update && apt-get install -y git python3 python3-pip libgl1 libglib2.0-0 curl && ln -s /usr/bin/python3 /usr/bin/python && curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash && apt-get install -y git-lfs && git lfs install && rm -rf /var/lib/apt/lists/* # buildkit
2.37GB 2023-11-10 15:16:45 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 2023-11-10 15:16:45 LABEL com.nvidia.cudnn.version=8.9.6.50
0.00B 2023-11-10 15:16:45 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 15:16:45 ARG TARGETARCH
0.00B 2023-11-10 15:16:45 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.6.50-1+cuda11.8
0.00B 2023-11-10 15:16:45 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8
0.00B 2023-11-10 15:16:45 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-11-10 15:16:45 ENV NV_CUDNN_VERSION=8.9.6.50
0.00B 2023-11-10 14:55:21 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
383.52KB 2023-11-10 14:55:21 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.72GB 2023-11-10 14:55:17 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-8=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:55:17 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:55:17 ARG TARGETARCH
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8
0.00B 2023-11-10 14:55:17 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-11-10 14:55:17 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
0.00B 2023-11-10 14:55:17 ENV NV_NVPROF_VERSION=11.8.87-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
0.00B 2023-11-10 14:55:17 ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
0.00B 2023-11-10 14:55:17 ENV NV_NVML_DEV_VERSION=11.8.86-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
0.00B 2023-11-10 14:55:17 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-11-10 14:42:37 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-11-10 14:42:37 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-11-10 14:42:37 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-11-10 14:42:37 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
260.16KB 2023-11-10 14:42:37 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.41GB 2023-11-10 14:42:36 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:42:36 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:42:36 ARG TARGETARCH
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
0.00B 2023-11-10 14:42:36 ENV NCCL_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
0.00B 2023-11-10 14:42:36 ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_LIBNPP_VERSION=11.8.0.86-1
0.00B 2023-11-10 14:42:36 ENV NV_NVTX_VERSION=11.8.86-1
0.00B 2023-11-10 14:42:36 ENV NV_CUDA_LIB_VERSION=11.8.0-1
0.00B 2023-11-10 14:37:16 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-11-10 14:37:16 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-11-10 14:37:16 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-11-10 14:37:16 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-11-10 14:37:16 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
150.67MB 2023-11-10 14:37:16 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:37:01 ENV CUDA_VERSION=11.8.0
10.56MB 2023-11-10 14:37:01 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-11-10 14:37:01 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-11-10 14:37:01 ARG TARGETARCH
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
0.00B 2023-11-10 14:37:01 ENV NV_CUDA_CUDART_VERSION=11.8.89-1
0.00B 2023-11-10 14:37:01 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
0.00B 2023-11-10 14:37:01 ENV NVARCH=x86_64
0.00B 2023-10-05 15:33:32 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.82MB 2023-10-05 15:33:32 /bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-10-05 15:33:30 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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        "ExposedPorts": {
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        "OpenStdin": false,
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            "NV_NVPROF_VERSION=11.8.87-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1",
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            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=8.9.6.50",
            "NV_CUDNN_PACKAGE_NAME=libcudnn8",
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    "Metadata": {
        "LastTagTime": "2024-08-27T14:56:59.672443888+08:00"
    }
}

更多版本

docker.io/savatar101/marker-api:0.3

linux/amd64 docker.io16.25GB2024-08-27 15:10
110