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>=11.7 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
NV_CUDA_CUDART_VERSION=11.7.99-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
CUDA_VERSION=11.7.1
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=11.7.1-1
NV_NVTX_VERSION=11.7.91-1
NV_LIBNPP_VERSION=11.7.4.75-1
NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
NV_LIBCUSPARSE_VERSION=11.7.4.91-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
NV_LIBCUBLAS_VERSION=11.10.3.66-1
NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
NCCL_VERSION=2.13.4-1
NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
NVIDIA_PRODUCT_NAME=CUDA
NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
NV_NVML_DEV_VERSION=11.7.91-1
NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
NV_LIBNPP_DEV_VERSION=11.7.4.75-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
NV_NVPROF_VERSION=11.7.101-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
NV_CUDNN_VERSION=8.5.0.96
NV_CUDNN_PACKAGE_NAME=libcudnn8
NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7
NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7
镜像构建历史
# 2024-08-11 15:00:40 2.34MB
bin/bash
# 2024-08-07 09:26:36 7.38GB
/bin/bash
# 2024-07-17 21:29:20 9.91GB
/bin/bash
# 2023-06-21 09:31:06 1.94GB 执行命令并创建新的镜像层
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
# 2023-06-21 09:31:06 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.5.0.96
# 2023-06-21 09:31:06 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-06-21 09:31:06 0.00B 定义构建参数
ARG TARGETARCH
# 2023-06-21 09:31:06 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7
# 2023-06-21 09:31:06 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7
# 2023-06-21 09:31:06 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-06-21 09:31:06 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.5.0.96
# 2023-06-21 09:07:04 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-06-21 09:07:04 376.67KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-06-21 09:07:03 3.70GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-11-7=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-7=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-7=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-7=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-7=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-7=${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
# 2023-06-21 09:07:03 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-06-21 09:07:03 0.00B 定义构建参数
ARG TARGETARCH
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
# 2023-06-21 09:07:03 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.7.101-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.7.4.75-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.7.91-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.7.99-1
# 2023-06-21 09:07:03 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
# 2023-06-21 08:55:44 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-06-21 08:55:44 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-06-21 08:55:44 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-06-21 08:55:44 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-06-21 08:55:44 258.26KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-06-21 08:55:44 1.82GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-7=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-7=${NV_NVTX_VERSION} libcusparse-11-7=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-06-21 08:55:44 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-06-21 08:55:44 0.00B 定义构建参数
ARG TARGETARCH
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
# 2023-06-21 08:55:44 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.13.4-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.10.3.66-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.4.91-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.7.4.75-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.7.91-1
# 2023-06-21 08:55:44 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.7.1-1
# 2023-06-21 08:49:50 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-06-21 08:49:50 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-06-21 08:49:50 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-06-21 08:49:50 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-06-21 08:49:50 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-06-21 08:49:50 46.00B 执行命令并创建新的镜像层
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
# 2023-06-21 08:49:50 119.68MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-7=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-06-21 08:49:08 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
# 2023-06-21 08:49:08 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-06-21 08:49:08 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-06-21 08:49:08 0.00B 定义构建参数
ARG TARGETARCH
# 2023-06-21 08:49:08 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
# 2023-06-21 08:49:08 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
# 2023-06-21 08:49:08 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 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
# 2023-06-21 08:49:08 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-06-06 01:08:58 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-06-06 01:08:58 72.79MB
/bin/sh -c #(nop) ADD file:655d373cb551d0dd5d7867f88a4f98908dc3f16190986f693e88c423e6f21b8d in /
# 2023-06-06 01:08:57 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2023-06-06 01:08:57 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-06-06 01:08:57 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-06-06 01:08:57 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:475cb37a1d975857ede364b07e033ec6b3d5ac88394edb9dcffd1dcbd1c3479b",
"RepoTags": [
"shaoguo/faster_liveportrait:v3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/shaoguo/faster_liveportrait:v3"
],
"RepoDigests": [
"shaoguo/faster_liveportrait@sha256:c2fb2b22c61594ca3c187cfcae514cd449135a1aee693b79f924998d394b378d",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/shaoguo/faster_liveportrait@sha256:a619dd7c30cf24bcc7b1d1266697b7a1332d911af2bdc89a9b3e976496a49457"
],
"Parent": "",
"Comment": "",
"Created": "2024-08-11T07:00:40.445676378Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "24.0.2",
"Author": "",
"Config": {
"Hostname": "9474e203f008",
"Domainname": "",
"User": "",
"AttachStdin": true,
"AttachStdout": true,
"AttachStderr": true,
"ExposedPorts": {
"9870/tcp": {}
},
"Tty": true,
"OpenStdin": true,
"StdinOnce": true,
"Env": [
"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\u003e=11.7 brand=tesla,driver\u003e=450,driver\u003c451 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=510,driver\u003c511 brand=unknown,driver\u003e=510,driver\u003c511 brand=nvidia,driver\u003e=510,driver\u003c511 brand=nvidiartx,driver\u003e=510,driver\u003c511 brand=geforce,driver\u003e=510,driver\u003c511 brand=geforcertx,driver\u003e=510,driver\u003c511 brand=quadro,driver\u003e=510,driver\u003c511 brand=quadrortx,driver\u003e=510,driver\u003c511 brand=titan,driver\u003e=510,driver\u003c511 brand=titanrtx,driver\u003e=510,driver\u003c511",
"NV_CUDA_CUDART_VERSION=11.7.99-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7",
"CUDA_VERSION=11.7.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=11.7.1-1",
"NV_NVTX_VERSION=11.7.91-1",
"NV_LIBNPP_VERSION=11.7.4.75-1",
"NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.4.75-1",
"NV_LIBCUSPARSE_VERSION=11.7.4.91-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7",
"NV_LIBCUBLAS_VERSION=11.10.3.66-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.3.66-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1",
"NCCL_VERSION=2.13.4-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=11.7.99-1",
"NV_NVML_DEV_VERSION=11.7.91-1",
"NV_LIBCUSPARSE_DEV_VERSION=11.7.4.91-1",
"NV_LIBNPP_DEV_VERSION=11.7.4.75-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.4.75-1",
"NV_LIBCUBLAS_DEV_VERSION=11.10.3.66-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.3.66-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=11.7.1-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-7=11.7.1-1",
"NV_NVPROF_VERSION=11.7.101-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.101-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"NV_CUDNN_VERSION=8.5.0.96",
"NV_CUDNN_PACKAGE_NAME=libcudnn8",
"NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7",
"NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.5.0.96-1+cuda11.7"
],
"Cmd": [
"bin/bash"
],
"Image": "shaoguo/faster_liveportrait:v2",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"com.nvidia.cudnn.version": "8.5.0.96",
"desktop.docker.io/binds/0/Source": "E:\\my_projects\\FasterLivePortrait",
"desktop.docker.io/binds/0/SourceKind": "hostFile",
"desktop.docker.io/binds/0/Target": "/root/FasterLivePortrait",
"desktop.docker.io/binds/1/Source": "E:\\\\data",
"desktop.docker.io/binds/1/SourceKind": "hostFile",
"desktop.docker.io/binds/1/Target": "/data",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "20.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 24976910371,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/8ba505658bf6cd6443bc0ac157401adfe9196868e9f6629a8423a3178e288879/diff:/var/lib/docker/overlay2/516ce44f375e347a569b2c98491a17f4286853a73ca6ab5abe26d761131016ae/diff:/var/lib/docker/overlay2/2e5346a4b3db1243fb5340cca8c98327a449155155d7abe5d1c3b4cb51491f7d/diff:/var/lib/docker/overlay2/c4e3d47b50938dcc8e47caff7ac6c75c7dab7205041a17f342c2493c2a767b8b/diff:/var/lib/docker/overlay2/60be8cd3631d29a53fac2876afcd89f6268e6d6c458bddb2538ef0bc08f10579/diff:/var/lib/docker/overlay2/630fce4b27f24dfab3a513b90e169af86552a84ac3d496f4295d71c9c71659ce/diff:/var/lib/docker/overlay2/8548beea8ccfe3c2877177e90e587088e4dc8f59455958c22f9d0a05d66210e4/diff:/var/lib/docker/overlay2/d49e83b6872d79345ab9ef97fd6fb8a53bf7e019fe194015162282e19a2816dd/diff:/var/lib/docker/overlay2/8654f8a02b7390738a1423bf6afa1c6ce44a7cff5871c15845edf484f6a257ff/diff:/var/lib/docker/overlay2/d5be26b349a557100a24d475a555e573e64a014662c72aa64da8cf87cfc0af99/diff:/var/lib/docker/overlay2/b5c682f5565bcbf17d96d0c87560302694893ae0cdf544666f283801a6b7db39/diff:/var/lib/docker/overlay2/de30f61404ddc1df838e5572edc24c94c354e2b3740eb8b21aaaf9b7bab096b0/diff:/var/lib/docker/overlay2/ab3a941290e84add669e7ca0d4ec5f3f5774c9c89ab7c670da7c481afafbe36c/diff:/var/lib/docker/overlay2/0304abb4b8736515635bd8b071e0347a5f18752710723266366596486f36a396/diff",
"MergedDir": "/var/lib/docker/overlay2/1fe510c9450543ab6da5bbd3a1d09e65c07f5eb6dc1bcdfd6cc87094329a0c02/merged",
"UpperDir": "/var/lib/docker/overlay2/1fe510c9450543ab6da5bbd3a1d09e65c07f5eb6dc1bcdfd6cc87094329a0c02/diff",
"WorkDir": "/var/lib/docker/overlay2/1fe510c9450543ab6da5bbd3a1d09e65c07f5eb6dc1bcdfd6cc87094329a0c02/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:ec66d8cea54a2f4dfbbd8342ce082503bf8541e996a800c0d724b8dd2fea7f6a",
"sha256:4d0386279234fde172a6cc09fa148d1f8ad1dcf44aaf4002e8075dfc5971c622",
"sha256:f4e86d21082e32dc638e07e30d63e710cb8199620a3899d4dcb2c0b7b27fb2b4",
"sha256:5b59875cb45e48aa6f18de67897393880fba0eedc87edcf6d46c78832355d8f7",
"sha256:e69c3899ac24a2bd8fd7f1a0dd17834909d74ef532bdce62a382ff0835a387e1",
"sha256:79c86f156da85ec5d234df581d3b6cd2a5b26e3bf78b22733a97b58ca0fff3cf",
"sha256:9afd567e063e6f571a1b8a8eb1d57b7af09fe6f909de84235e980e76504fa752",
"sha256:d6d2367bee57b1a32b903e4c2382b92882f12349518146136b3a2268812e6a38",
"sha256:0f7132c5ed2768bc4acf27cda7e948b053ca7adbb0862e5729ddcd9925f5e16c",
"sha256:2948ed332593d9a2fdef20625ea5274e2e4b501816ce39b5cd543169c64183fc",
"sha256:cb0f832ea1309d609517ae771af80dd30c2d5eeb391bf2e7b00f6f70638d07f2",
"sha256:40858f744a413522e6830a7dc491c0c5e35de11164ffb89dee64a63d1dbacc38",
"sha256:e2cd64f3ada5629dd61d6dbd58f7982ab906c89540bd3b71dd2a677963136c2f",
"sha256:6590dfd10949fa733ccc9423c3e9affb4b8a081853a0d4ae5a750e3b1e44606a",
"sha256:0b61509fa0223625e86df452dc3f73c79b70985fa4445e6f196e67246ecf1bf6"
]
},
"Metadata": {
"LastTagTime": "2025-01-09T00:43:08.131412757+08:00"
}
}