镜像构建历史
# 2023-12-01 18:35:29 43.55MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c python setup.py install # buildkit
# 2023-12-01 18:34:23 0.00B 设置工作目录为/root/submodules/simple-knn
WORKDIR /root/submodules/simple-knn
# 2023-12-01 18:34:23 45.97MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c python setup.py install # buildkit
# 2023-12-01 18:31:37 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.5+PTX
# 2023-12-01 18:31:37 0.00B 设置工作目录为/root/submodules/diff-gaussian-rasterization
WORKDIR /root/submodules/diff-gaussian-rasterization
# 2023-12-01 18:02:42 101.39MB 复制新文件或目录到容器中
COPY submodules /root/submodules # buildkit
# 2023-12-01 18:02:41 8.05GB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c pip install -r /tmp/requirements.txt # buildkit
# 2023-12-01 18:00:47 101.00B 复制新文件或目录到容器中
COPY requirements.txt /tmp/requirements.txt # buildkit
# 2023-12-01 18:00:47 173.81MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c mkdir build && cd build && cmake .. -GNinja -D CMAKE_CUDA_ARCHITECTURES=75 && ninja && ninja install # buildkit
# 2023-12-01 17:57:56 0.00B 设置工作目录为/colmap
WORKDIR /colmap
# 2023-12-01 17:57:56 24.62MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c git clone https://github.com/colmap/colmap # buildkit
# 2023-12-01 17:57:49 0.00B 设置环境变量 CUDAHOSTCXX
ENV CUDAHOSTCXX=/usr/bin/g++-10
# 2023-12-01 17:57:49 0.00B 设置环境变量 CXX
ENV CXX=/usr/bin/g++-10
# 2023-12-01 17:57:49 0.00B 设置环境变量 CC
ENV CC=/usr/bin/gcc-10
# 2023-12-01 17:57:49 143.03MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c apt-get install -y gcc-10 g++-10 # buildkit
# 2023-12-01 17:57:43 918.15MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c apt-get update && apt-get install -y ninja-build build-essential libboost-program-options-dev libboost-filesystem-dev libboost-graph-dev libboost-system-dev libboost-test-dev libeigen3-dev libflann-dev libfreeimage-dev libmetis-dev libgoogle-glog-dev libgflags-dev libsqlite3-dev libglew-dev qtbase5-dev libqt5opengl5-dev libcgal-dev libceres-dev # buildkit
# 2023-12-01 17:56:44 135.03MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c rm -rf /var/lib/apt/lists/* && wget https://github.com/Kitware/CMake/releases/download/v3.26.1/cmake-3.26.1-Linux-x86_64.sh -q -O /tmp/cmake-install.sh && chmod u+x /tmp/cmake-install.sh && mkdir /opt/cmake-3.26.1 && /tmp/cmake-install.sh --skip-license --prefix=/opt/cmake-3.26.1 && rm /tmp/cmake-install.sh && ln -s /opt/cmake-3.26.1/bin/* /usr/local/bin # buildkit
# 2023-12-01 17:56:41 458.16MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c apt install -qy libglib2.0-0 && apt install -y openssh-server && apt install -y zlib1g-dev && apt-get install ffmpeg libsm6 libxext6 -y && apt-get install -y --no-install-recommends git wget curl gcc g++ unzip bzip2 build-essential ca-certificates && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-12-01 17:55:49 229.50MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive COLMAP_VERSION=dev /bin/sh -c apt-get update && apt-get -y install build-essential && apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa && apt-get install -y python3.10 python3.10-dev python3-pip python3-distutils python3-setuptools && update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1 && update-alternatives --set python /usr/bin/python3.10 && python -m pip install --upgrade pip # buildkit
# 2023-12-01 17:55:49 0.00B 设置环境变量 QT_XCB_GL_INTEGRATION
ENV QT_XCB_GL_INTEGRATION=xcb_egl
# 2023-12-01 17:55:49 0.00B 定义构建参数
ARG COLMAP_VERSION=dev
# 2023-12-01 17:55:49 0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
# 2023-11-10 14:28:19 2.45GB 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
# 2023-11-10 14:28:19 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
# 2023-11-10 14:28:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:28:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
# 2023-11-10 14:02:16 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 14:02:16 385.64KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 14:02:04 4.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${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} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:02:04 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:02:04 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:49:20 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:49:20 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:49:20 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 13:49:20 261.38KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 13:49:19 1.99GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${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
# 2023-11-10 13:49:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:49:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 13:44:29 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 13:44:29 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 13:44:29 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
# 2023-11-10 13:44:29 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
# 2023-11-10 13:44:29 149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:44:18 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
# 2023-11-10 13:44:18 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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
# 2023-11-10 13:44:18 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:44:18 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
# 2023-11-10 13:44:18 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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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>=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
# 2023-11-10 13:44:18 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:15f39c8693c0d50bc8fc08e2c2e2156294e55dd781082e0d82de2cc0992cd378",
"RepoTags": [
"gaetanlandreau/3d-gaussian-splatting:0.1",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gaetanlandreau/3d-gaussian-splatting:0.1"
],
"RepoDigests": [
"gaetanlandreau/3d-gaussian-splatting@sha256:ac7c0eedae703a2d8c1b366152d766b57c924887bfffdcc178c676162d580dc4",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gaetanlandreau/3d-gaussian-splatting@sha256:7c83552fb3e39c4206b6a9ec1c6d17587551d0d6acc48c8505d2f9a851f25bbf"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2023-12-01T10:35:29.271640669Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"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=12.1 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=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
"NV_CUDA_CUDART_VERSION=12.1.55-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
"CUDA_VERSION=12.1.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.1.0-1",
"NV_NVTX_VERSION=12.1.66-1",
"NV_LIBNPP_VERSION=12.0.2.50-1",
"NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
"NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
"NV_LIBCUBLAS_VERSION=12.1.0.26-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
"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",
"NVIDIA_CUDA_END_OF_LIFE=1",
"NV_CUDA_CUDART_DEV_VERSION=12.1.55-1",
"NV_NVML_DEV_VERSION=12.1.55-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1",
"NV_LIBNPP_DEV_VERSION=12.0.2.50-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1",
"NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1",
"NV_NVPROF_VERSION=12.1.55-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1",
"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",
"QT_XCB_GL_INTEGRATION=xcb_egl",
"CC=/usr/bin/gcc-10",
"CXX=/usr/bin/g++-10",
"CUDAHOSTCXX=/usr/bin/g++-10",
"TORCH_CUDA_ARCH_LIST=7.5+PTX"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/root/submodules/simple-knn",
"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"com.nvidia.cudnn.version": "8.9.0.131",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 19811860266,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/6a8b5030d8da0c8e3e1cf88b6c41027b8c38173ebbc4d9975695ed1fa44813fa/diff:/var/lib/docker/overlay2/cc247f66a10c1638e3c44f9f9b0b86c1c243dc4d2ccb07c8c819ba0aa3b55c66/diff:/var/lib/docker/overlay2/28f9c8e1916d84fcbbda4ad643f67055fd000651539f61f840474b2ab9c4decd/diff:/var/lib/docker/overlay2/968219db009663c8c2030f1ecff322ed8790cd138ed27c740c13a501e0c0ef0b/diff:/var/lib/docker/overlay2/7cc921a7de6ab12bd1bea1b70f3781bcad7741a9419fb6062f38e80682493b2b/diff:/var/lib/docker/overlay2/9d298e1926426f96b0ea33c75bb55c8a23f8b23eb92a91de998c3d306d489793/diff:/var/lib/docker/overlay2/590a7ac8c295f309788d9900246fba971800d4c5dc9c19bfe7114fb729bd18d6/diff:/var/lib/docker/overlay2/b3f4a06faf4627228a799beed00dec734806c2fefee606e61e62c950d993fff7/diff:/var/lib/docker/overlay2/de0793e6eec4324d0d428eede5b9f3d5912501b06f7f4eacc629a444f3c609e6/diff:/var/lib/docker/overlay2/f15ba43f6eeb8a49dd265386fd546e96da11c1c0e0f30b5941324919f7bf1f9c/diff:/var/lib/docker/overlay2/9db3022a907267d6939cec22dd213673ebda865c40cb6ffe76ebab70235ace51/diff:/var/lib/docker/overlay2/64f26e73f1aa82932ca9ea2f2fee66b80c9d5afafdb9d689d669728eb67f8a08/diff:/var/lib/docker/overlay2/f1ddacaabcffd88edf858d4474788b564204d7b27c67b3cd110e7e79e6e0ab24/diff:/var/lib/docker/overlay2/ee35c1e0d7450edeb7e31b4c126afcda2a897d1a886c00afadf4adf743c21651/diff:/var/lib/docker/overlay2/222a8aec8d9b845c81ef74062a63a50504c0da76fdb78d46b40952fb4fae6ff8/diff:/var/lib/docker/overlay2/8dee7226104b46d6cbbd4b5bebec5da13e13147d269a367c1ba0369db93d735d/diff:/var/lib/docker/overlay2/b69437b1df4887ac7a7a20623823b562f0d8e22476376512c9827ea0bc146650/diff:/var/lib/docker/overlay2/ad9909645812c361e364bef3d3d61ae213a9a0041fe70d565729395c475803b8/diff:/var/lib/docker/overlay2/3c6d5ea9f0137b810f2c5e9b2257e63f58baacba2c75b4c4722277357320216b/diff:/var/lib/docker/overlay2/2a4834c047db7ca33b0935fcf59cac785026edf2e275d07c484267f9dc406a9a/diff:/var/lib/docker/overlay2/6b5a2a88bc3906ccf1dd2ff2b3a48162e98f477f8153c2a3f46a4803c2a30c64/diff:/var/lib/docker/overlay2/86c98ab0ed88b61b06cf59d67d016cbf05a2c7cea2a7a4fe53a6be12a6bb87d7/diff:/var/lib/docker/overlay2/dddcc2c36b2b15125b046f443eaf956385215dd4fe1629756f29c2e1077ee125/diff:/var/lib/docker/overlay2/7c0ec148c160c668fe5b36bcb65f7d5badb55eb5dcdea8490e826c2a41b578a9/diff:/var/lib/docker/overlay2/b213e3c8abc27592f101ffbb1d0f2c437b5effe9b384d0f550f46a4f894f180d/diff:/var/lib/docker/overlay2/f2905627b4505cda033dd62b5a5dc1676edda5a6e1bda7cd6e6e2048fcf5aee0/diff",
"MergedDir": "/var/lib/docker/overlay2/ede873edb4bf345f704c96e9018b6870809e38380aefa596e9a407c34df7ee17/merged",
"UpperDir": "/var/lib/docker/overlay2/ede873edb4bf345f704c96e9018b6870809e38380aefa596e9a407c34df7ee17/diff",
"WorkDir": "/var/lib/docker/overlay2/ede873edb4bf345f704c96e9018b6870809e38380aefa596e9a407c34df7ee17/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
"sha256:7b9433fba79bfc9269aab8277ea9975364db1c1f775a7ee6b14b5dffa045b294",
"sha256:765423415d690bf8ca1510e7147d5b86dba15dcf1a3b1a515f1a85cc5dd439bb",
"sha256:e4b1bddcbe6378dfa58bf1faa040813b74938129eb4bb06cbf083240335c5c54",
"sha256:cd77f58b80cdcfac5fcdef06b2033fedc1115073afae035a14b6692cb5cd6650",
"sha256:8d113b7b997c1bc18469d2373662f02c8bbcf7182f8c5d8e0e1eea082cc234a4",
"sha256:40f0eb1871b906cf31a54649bf4f7657e2a60da6d6a9adfb8598a469b8495e77",
"sha256:6ac15100dff644720d396a534fcd373774b1aefca621211930855e5db5ebae52",
"sha256:600c676771a0a21056d45f5fb4441c538380564d4a7127a41e260d74fc6b0519",
"sha256:57b23d1076fd4d119609493ebbd5b837d9553387d081148c8d908f1245e2bb55",
"sha256:6667c783780703607df00f8f7dafcfd77402d54db003c392f3ea743f9eabe359",
"sha256:8f9b3bf612fd6c74b7fc633bddfd6986991d5b18a4fd3e79994e8d82abfc089d",
"sha256:ece38be04e8f1477fd960cc7d31a4caf6ed60c613be1d58a8baabd6e102719d6",
"sha256:ccbdbaf18e83112a3a537e0ea87b067cc5959e3f1b12493e088ffb91d5965e2e",
"sha256:bffa4b2aaef889502464adbd019dfa2d51219e6e07596d578eb8b0f40a9ddefe",
"sha256:703c46208040a3ef7ff30f17e4f4aa936b199a4b40c0ec466d6b84896aa2ec8e",
"sha256:8edee7927e21157c765b3991b457b99381df739f43cd153f156ceda0cef69acc",
"sha256:349a0be4e3f484d60e00abbd06fa94df8cd76f8229edb035d3da1d490cd78715",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:9d2596c91faf5acc6c7fabb52baeefbb891c6a086cebbb3148a8f28843a82a07",
"sha256:fd5d588e90eb026e48e0a0c8cdec9ff11aae6ee881d8cd9eb26160d92868e2e3",
"sha256:1a86e1962e1f4f735e9771d19fc7d77f0b7189c4bb22380a34d82be1cb6aed16",
"sha256:965c6aabf253573b787e2ab68c348a008b07af4fcc3b7974b0a0ef1329508aff",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:528ab27dbf8cfddd9519d9b72d93c922f650818bc4aef3882f4433449277ee6d",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:66d4abd2aefe4042b4e4b93536a8c03081bcf85fbe7878cb73d209aa710cf9ba"
]
},
"Metadata": {
"LastTagTime": "2025-11-21T01:18:15.641267205+08:00"
}
}