docker.io/k3r0/foxglove:1.0 linux/amd64

docker.io/k3r0/foxglove:1.0 - 国内下载镜像源 浏览次数:24
**Foxglove** Foxglove是一个基于docker容器镜像的名称,用于构建和部署软件项目。它提供了一个完整的开发环境,包括编译工具、运行时环境等。 使用Foxglove,可以快速创建和管理容器镜像,从而提高开发效率和项目可维护性。
源镜像 docker.io/k3r0/foxglove:1.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/k3r0/foxglove:1.0
镜像ID sha256:00b4dc2550f5f2392c04a6584e8dd86ab01a7e9bab1131954a28c34beb3e2d13
镜像TAG 1.0
大小 19.11GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台 linux/amd64
浏览量 24 次
贡献者 28******9@qq.com
镜像创建 2023-05-12T08:51:42.3282043Z
同步时间 2024-09-07 03:38
更新时间 2024-09-19 14:49
环境变量
PATH=/opt/conda/bin:/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>=12.1 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.105-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.1-1 NV_NVTX_VERSION=12.1.105-1 NV_LIBNPP_VERSION=12.1.0.40-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1 NV_LIBCUSPARSE_VERSION=12.1.0.106-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.3.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.1.105-1 NV_NVML_DEV_VERSION=12.1.105-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1 NV_LIBNPP_DEV_VERSION=12.1.0.40-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1 NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1 NV_NVPROF_VERSION=12.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.9.0.131 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
镜像标签
8.9.0.131: 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/k3r0/foxglove:1.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/k3r0/foxglove:1.0  docker.io/k3r0/foxglove:1.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/k3r0/foxglove:1.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/k3r0/foxglove:1.0  docker.io/k3r0/foxglove:1.0

Shell快速替换命令

sed -i 's#k3r0/foxglove:1.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/k3r0/foxglove:1.0#' deployment.yaml

镜像历史

大小 创建时间 层信息
6.41MB 2023-05-12 16:51:42 RUN /bin/sh -c pip3 install vtkplotlib # buildkit
74.31MB 2023-05-12 16:51:32 RUN /bin/sh -c conda install -c conda-forge pandas # buildkit
955.10KB 2023-05-12 16:49:28 RUN /bin/sh -c conda install -c conda-forge tensorboardx=2.2 # buildkit
112.97MB 2023-05-12 16:48:28 RUN /bin/sh -c conda install -c conda-forge tensorboard # buildkit
48.16MB 2023-05-12 16:47:25 RUN /bin/sh -c conda install -c conda-forge scikit-learn==1.2.2 # buildkit
851.14KB 2023-05-12 16:46:28 RUN /bin/sh -c conda install -c conda-forge tqdm==4.65.0 # buildkit
696.12MB 2023-05-12 16:45:06 RUN /bin/sh -c conda install -c conda-forge einops==0.6.0 # buildkit
102.38MB 2023-05-12 16:39:35 RUN /bin/sh -c conda install -c conda-forge scipy==1.10.1 # buildkit
128.27MB 2023-05-12 16:38:39 RUN /bin/sh -c conda install -c conda-forge numpy # buildkit
232.38MB 2023-05-12 16:05:11 RUN /bin/sh -c conda install -c conda-forge matplotlib==3.7.0 # buildkit
2.18GB 2023-05-12 16:03:41 RUN /bin/sh -c conda install -c conda-forge vtk==9.2.6 # buildkit
6.84GB 2023-05-12 15:54:16 RUN /bin/sh -c pip3 install torch torchvision torchaudio # buildkit
430.00B 2023-05-12 15:43:20 RUN /bin/sh -c /opt/conda/bin/conda init zsh # buildkit
3.54KB 2023-05-12 15:43:16 RUN /bin/sh -c /opt/conda/bin/conda init bash # buildkit
0.00B 2023-05-12 15:43:12 RUN /bin/sh -c rm -rf Miniconda3-latest-Linux-x86_64.sh # buildkit
321.74MB 2023-05-12 15:43:09 RUN /bin/sh -c bash Miniconda3-py310_23.3.1-0-Linux-x86_64.sh -b -u -p /opt/conda # buildkit
73.13MB 2023-05-12 15:42:54 RUN /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-x86_64.sh # buildkit
0.00B 2023-05-12 15:42:46 RUN /bin/sh -c cd /home # buildkit
213.20MB 2023-05-12 15:42:43 RUN /bin/sh -c apt-get install -y libgl1-mesa-dev # buildkit
2.30MB 2023-05-12 15:39:27 RUN /bin/sh -c apt-get install -y wget # buildkit
6.10KB 2023-05-12 15:39:12 RUN /bin/sh -c apt-get install -y openssl # buildkit
53.60MB 2023-05-12 15:39:07 RUN /bin/sh -c apt-get update && apt-get upgrade -y # buildkit
0.00B 2023-05-12 15:39:07 ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2.45GB 2023-04-28 03:13:43 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 2023-04-28 03:13:43 LABEL com.nvidia.cudnn.version=8.9.0.131
0.00B 2023-04-28 03:13:43 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-04-28 03:13:43 ARG TARGETARCH
0.00B 2023-04-28 03:13:43 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
0.00B 2023-04-28 03:13:43 ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
0.00B 2023-04-28 03:13:43 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2023-04-28 03:13:43 ENV NV_CUDNN_VERSION=8.9.0.131
0.00B 2023-04-28 02:54:50 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
383.52KB 2023-04-28 02:54:50 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
3.32GB 2023-04-28 02:54:49 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-04-28 02:54:49 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-04-28 02:54:49 ARG TARGETARCH
0.00B 2023-04-28 02:54:49 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
0.00B 2023-04-28 02:54:49 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2023-04-28 02:54:49 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
0.00B 2023-04-28 02:54:49 ENV NV_NVPROF_VERSION=12.1.105-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
0.00B 2023-04-28 02:54:49 ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
0.00B 2023-04-28 02:54:49 ENV NV_NVML_DEV_VERSION=12.1.105-1
0.00B 2023-04-28 02:54:49 ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
0.00B 2023-04-28 02:54:49 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-04-28 02:45:06 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-04-28 02:45:06 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2023-04-28 02:45:06 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2023-04-28 02:45:06 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
261.24KB 2023-04-28 02:45:06 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.01GB 2023-04-28 02:45:06 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-04-28 02:45:06 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-04-28 02:45:06 ARG TARGETARCH
0.00B 2023-04-28 02:45:06 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
0.00B 2023-04-28 02:45:06 ENV NCCL_VERSION=2.17.1-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2023-04-28 02:45:06 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
0.00B 2023-04-28 02:45:06 ENV NV_LIBNPP_VERSION=12.1.0.40-1
0.00B 2023-04-28 02:45:06 ENV NV_NVTX_VERSION=12.1.105-1
0.00B 2023-04-28 02:45:06 ENV NV_CUDA_LIB_VERSION=12.1.1-1
0.00B 2023-04-28 02:41:09 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2023-04-28 02:41:09 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2023-04-28 02:41:09 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2023-04-28 02:41:09 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2023-04-28 02:41:09 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2023-04-28 02:41:09 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
149.59MB 2023-04-28 02:41:09 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-04-28 02:40:59 ENV CUDA_VERSION=12.1.1
10.52MB 2023-04-28 02:40:59 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 2023-04-28 02:40:59 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2023-04-28 02:40:59 ARG TARGETARCH
0.00B 2023-04-28 02:40:59 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
0.00B 2023-04-28 02:40:59 ENV NV_CUDA_CUDART_VERSION=12.1.105-1
0.00B 2023-04-28 02:40:59 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=450,driver<451 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 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=tesla,driver>=515,driver<516 brand=unknown,driver>=515,driver<516 brand=nvidia,driver>=515,driver<516 brand=nvidiartx,driver>=515,driver<516 brand=geforce,driver>=515,driver<516 brand=geforcertx,driver>=515,driver<516 brand=quadro,driver>=515,driver<516 brand=quadrortx,driver>=515,driver<516 brand=titan,driver>=515,driver<516 brand=titanrtx,driver>=515,driver<516 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
0.00B 2023-04-28 02:40:59 ENV NVARCH=x86_64
0.00B 2023-03-08 12:44:27 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.81MB 2023-03-08 12:44:27 /bin/sh -c #(nop) ADD file:c8ef6447752cab2541ffca9e3cfa27d581f3491bc8f356f6eafd951243609341 in /
0.00B 2023-03-08 12:44:25 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2023-03-08 12:44:25 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-03-08 12:44:25 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-03-08 12:44:25 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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    "RepoTags": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-05-12T08:51:42.3282043Z",
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    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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