镜像构建历史
# 2025-07-27 22:58:57 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "-c" "export MINERU_MODEL_SOURCE=local && exec \"$@\"" "--"]
# 2025-07-27 22:58:57 4.61GB 执行命令并创建新的镜像层
RUN /bin/sh -c /bin/bash -c "mineru-models-download -s huggingface -m all" # buildkit
# 2025-07-27 22:57:16 929.44MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m pip install -U 'mineru[core]' --break-system-packages && python3 -m pip cache purge # buildkit
# 2025-07-27 22:56:09 313.94MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y fonts-noto-core fonts-noto-cjk fontconfig libgl1 && fc-cache -fv && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-07-26 08:39:52 0.00B 设置工作目录为/sgl-workspace/sglang
WORKDIR /sgl-workspace/sglang
# 2025-07-26 08:39:52 4.91MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c set -euxo ; curl --proto '=https' --tlsv1.2 -sSf https://just.systems/install.sh | bash -s -- --to /usr/local/bin # buildkit
# 2025-07-26 08:39:51 387.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.zshrc # buildkit
# 2025-07-26 08:39:51 601.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c git config --global core.editor "vim" && git config --global core.whitespace "fix,-indent-with-non-tab,trailing-space,cr-at-eol" && git config --global core.pager "diff-so-fancy | less --tabs=4 -RFX" && git config --global color.ui true && git config --global color."diff-highlight".oldNormal "red bold" && git config --global color."diff-highlight".oldHighlight "red bold 52" && git config --global color."diff-highlight".newNormal "green bold" && git config --global color."diff-highlight".newHighlight "green bold 22" && git config --global color.diff.meta "11" && git config --global color.diff.frag "magenta bold" && git config --global color.diff.commit "yellow bold" && git config --global color.diff.old "red bold" && git config --global color.diff.new "green bold" && git config --global color.diff.whitespace "red reverse" && git config --global alias.lg "log --color --graph --pretty=format:'%Cred%h%Creset - %s %Cgreen(%cr) %C(bold blue)<%an>%Creset%C(auto)%d%Creset' --abbrev-commit --" && git config --global http.sslVerify false && git config --global pull.rebase true # buildkit
# 2025-07-26 08:39:51 654.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.tmux.conf # buildkit
# 2025-07-26 08:39:51 914.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /root/.vimrc # buildkit
# 2025-07-26 08:39:51 14.22MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)" "" --unattended && git clone https://github.com/zsh-users/zsh-autosuggestions ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-autosuggestions && git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting # buildkit
# 2025-07-26 08:39:50 409.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c chmod +x /usr/local/bin/yank # buildkit
# 2025-07-26 08:39:50 409.00B 复制新文件或目录到容器中
COPY --chown=root:root <<EOF /usr/local/bin/yank # buildkit
# 2025-07-26 08:39:50 112.57MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c wget https://github.com/Kitware/CMake/releases/download/v3.31.1/cmake-3.31.1-linux-x86_64.tar.gz && tar -xzf cmake-3.31.1-linux-x86_64.tar.gz && cp -r cmake-3.31.1-linux-x86_64/bin/* /usr/local/bin/ && cp -r cmake-3.31.1-linux-x86_64/share/* /usr/local/share/ && rm -rf cmake-3.31.1-linux-x86_64 cmake-3.31.1-linux-x86_64.tar.gz # buildkit
# 2025-07-26 08:39:47 142.54MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c curl -L https://github.com/clangd/clangd/releases/download/18.1.3/clangd-linux-18.1.3.zip -o clangd.zip && unzip clangd.zip && cp -r clangd_18.1.3/bin/* /usr/local/bin/ && cp -r clangd_18.1.3/lib/* /usr/local/lib/ && rm -rf clangd_18.1.3 clangd.zip # buildkit
# 2025-07-26 08:39:45 4.02MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c curl -LSso /usr/local/bin/clang-format https://github.com/muttleyxd/clang-tools-static-binaries/releases/download/master-32d3ac78/clang-format-16_linux-amd64 && chmod +x /usr/local/bin/clang-format # buildkit
# 2025-07-26 08:39:45 40.93KB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c curl -LSso /usr/local/bin/diff-so-fancy https://github.com/so-fancy/diff-so-fancy/releases/download/v1.4.4/diff-so-fancy && chmod +x /usr/local/bin/diff-so-fancy # buildkit
# 2025-07-26 08:39:45 59.84MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c python3 -m pip install --no-cache-dir --break-system-packages pytest black isort icdiff scikit_build_core uv pre-commit pandas matplotlib tabulate # buildkit
# 2025-07-26 08:39:41 0.00B 设置环境变量 LC_ALL
ENV LC_ALL=en_US.UTF-8
# 2025-07-26 08:39:41 0.00B 设置环境变量 LANGUAGE
ENV LANGUAGE=en_US:en
# 2025-07-26 08:39:41 0.00B 设置环境变量 LANG
ENV LANG=en_US.UTF-8
# 2025-07-26 08:39:41 3.06MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c locale-gen en_US.UTF-8 # buildkit
# 2025-07-26 08:39:39 579.40MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c apt update -y && apt install -y --no-install-recommends gnupg && echo "deb http://developer.download.nvidia.com/devtools/repos/ubuntu2004/amd64 /" | tee /etc/apt/sources.list.d/nvidia-devtools.list && apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub && apt update -y && apt install nsight-systems-cli -y # buildkit
# 2025-07-26 08:39:21 142.00MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c apt-get update && apt-get install -y gdb ninja-build vim tmux htop wget curl locales lsof git git-lfs zsh tree silversearcher-ag cloc unzip pkg-config libssl-dev bear ccache less && apt install -y rdma-core infiniband-diags openssh-server perftest ibverbs-providers libibumad3 libibverbs1 libnl-3-200 libnl-route-3-200 librdmacm1 && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit
# 2025-07-26 08:39:08 180.19MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c python3 -m pip install --no-cache-dir datamodel_code_generator mooncake-transfer-engine==0.3.5 pre-commit pytest black isort icdiff uv wheel scikit-build-core # buildkit
# 2025-07-26 08:39:03 1.27GB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c wget https://developer.download.nvidia.com/compute/redist/nvshmem/3.3.9/source/nvshmem_src_cuda12-all-all-3.3.9.tar.gz && git clone https://github.com/deepseek-ai/DeepEP.git && cd DeepEP && git checkout ${DEEPEP_COMMIT} && cd .. && tar -xf nvshmem_src_cuda12-all-all-3.3.9.tar.gz && mv nvshmem_src nvshmem && cd nvshmem && rm -f /sgl-workspace/nvshmem_src_cuda12-all-all-3.3.9.tar.gz && NVSHMEM_SHMEM_SUPPORT=0 NVSHMEM_UCX_SUPPORT=0 NVSHMEM_USE_NCCL=0 NVSHMEM_MPI_SUPPORT=0 NVSHMEM_IBGDA_SUPPORT=1 NVSHMEM_PMIX_SUPPORT=0 NVSHMEM_TIMEOUT_DEVICE_POLLING=0 NVSHMEM_USE_GDRCOPY=1 cmake -S . -B build/ -DCMAKE_INSTALL_PREFIX=${NVSHMEM_DIR} -DCMAKE_CUDA_ARCHITECTURES=90 && cmake --build build --target install -j${CMAKE_BUILD_PARALLEL_LEVEL} && cd /sgl-workspace/DeepEP && NVSHMEM_DIR=${NVSHMEM_DIR} pip install . # buildkit
# 2025-07-26 08:22:13 10.99GB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5lib six && git clone --depth=1 https://github.com/sgl-project/sglang.git && cd sglang && case "$CUDA_VERSION" in 12.6.1) CUINDEX=126 ;; 12.8.1) CUINDEX=128 ;; *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; esac && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} && python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.6 --force-reinstall --no-deps && if [ "$CUDA_VERSION" = "12.8.1" ]; then python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.7/sgl_kernel-0.2.7+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; fi # buildkit
# 2025-07-26 08:19:02 0.00B 设置工作目录为/sgl-workspace
WORKDIR /sgl-workspace
# 2025-07-26 08:19:02 38.00B 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c ln -sf /usr/lib/x86_64-linux-gnu/libmlx5.so.1 /usr/lib/x86_64-linux-gnu/libmlx5.so # buildkit
# 2025-07-26 08:19:02 2.92MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c mkdir -p /tmp/gdrcopy && cd /tmp && git clone https://github.com/NVIDIA/gdrcopy.git -b v2.4.4 && cd gdrcopy/packages && CUDA=/usr/local/cuda ./build-deb-packages.sh && dpkg -i gdrdrv-dkms_*.deb libgdrapi_*.deb gdrcopy-tests_*.deb gdrcopy_*.deb && cd / && rm -rf /tmp/gdrcopy # buildkit
# 2025-07-26 08:18:43 962.79MB 执行命令并创建新的镜像层
RUN |3 BUILD_TYPE=all DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58 CMAKE_BUILD_PARALLEL_LEVEL=2 /bin/sh -c echo 'tzdata tzdata/Areas select America' | debconf-set-selections && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections && apt-get update && apt-get install -y --no-install-recommends tzdata software-properties-common netcat-openbsd kmod unzip openssh-server curl wget lsof zsh ccache tmux htop git-lfs tree python3 python3-pip python3-dev libpython3-dev python3-venv build-essential cmake libopenmpi-dev libnuma1 libnuma-dev libibverbs-dev libibverbs1 libibumad3 librdmacm1 libnl-3-200 libnl-route-3-200 libnl-route-3-dev libnl-3-dev ibverbs-providers infiniband-diags perftest libgoogle-glog-dev libgtest-dev libjsoncpp-dev libunwind-dev libboost-all-dev libssl-dev libgrpc-dev libgrpc++-dev libprotobuf-dev protobuf-compiler-grpc pybind11-dev libhiredis-dev libcurl4-openssl-dev libczmq4 libczmq-dev libfabric-dev patchelf nvidia-dkms-550 devscripts debhelper fakeroot dkms check libsubunit0 libsubunit-dev && ln -sf /usr/bin/python3 /usr/bin/python && rm -rf /var/lib/apt/lists/* && apt-get clean # buildkit
# 2025-07-26 08:18:43 0.00B 设置环境变量 DEBIAN_FRONTEND CUDA_HOME GDRCOPY_HOME NVSHMEM_DIR
ENV DEBIAN_FRONTEND=noninteractive CUDA_HOME=/usr/local/cuda GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/ NVSHMEM_DIR=/sgl-workspace/nvshmem/install
# 2025-07-26 08:18:43 0.00B 定义构建参数
ARG CMAKE_BUILD_PARALLEL_LEVEL=2
# 2025-07-26 08:18:43 0.00B 定义构建参数
ARG DEEPEP_COMMIT=b6ce310bb0b75079682d09bc2ebc063a074fbd58
# 2025-07-26 08:18:43 0.00B 定义构建参数
ARG BUILD_TYPE=all
# 2024-09-03 23:34:35 877.80MB 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
# 2024-09-03 23:34:35 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.3.0.75-1
# 2024-09-03 23:34:35 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-09-03 23:34:35 0.00B 定义构建参数
ARG TARGETARCH
# 2024-09-03 23:34:35 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.3.0.75-1
# 2024-09-03 23:34:35 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1
# 2024-09-03 23:34:35 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12
# 2024-09-03 23:34:35 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.3.0.75-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2024-09-03 23:09:42 389.40KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2024-09-03 23:09:42 4.85GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-6=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-6=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-6=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-6=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-6=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-6=${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
# 2024-09-03 23:09:42 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-09-03 23:09:42 0.00B 定义构建参数
ARG TARGETARCH
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6
# 2024-09-03 23:09:42 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.68-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.6.68-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.1-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.1.4-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.1.54-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.3.3-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.6.68-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.6.68-1
# 2024-09-03 23:09:42 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.1-1
# 2024-09-03 23:01:08 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-09-03 23:01:08 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-09-03 23:01:08 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-09-03 23:01:08 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-09-03 23:01:08 262.98KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2024-09-03 23:01:08 2.07GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-6=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-6=${NV_NVTX_VERSION} libcusparse-12-6=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-09-03 23:01:08 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-09-03 23:01:08 0.00B 定义构建参数
ARG TARGETARCH
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6
# 2024-09-03 23:01:08 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.22.3-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.1.4-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.6.1.4-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.3.3-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.1.54-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.6.68-1
# 2024-09-03 23:01:08 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.6.1-1
# 2024-09-03 22:56:51 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-09-03 22:56:51 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-09-03 22:56:51 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-09-03 22:56:51 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-09-03 22:56:51 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
# 2024-09-03 22:56:51 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
# 2024-09-03 22:56:51 161.70MB 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-12-6=${NV_CUDA_CUDART_VERSION} cuda-compat-12-6 && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-09-03 22:56:41 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.1
# 2024-09-03 22:56:41 10.57MB 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_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-09-03 22:56:41 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-09-03 22:56:41 0.00B 定义构建参数
ARG TARGETARCH
# 2024-09-03 22:56:41 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.68-1
# 2024-09-03 22:56:41 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 brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
# 2024-09-03 22:56:41 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-08-13 17:27:24 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-08-13 17:27:24 77.86MB
/bin/sh -c #(nop) ADD file:2f8a54a5efd080fb81efea702b4e3e07d946eec7563fb2281bd28950c10ec462 in /
# 2024-08-13 17:27:22 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-08-13 17:27:22 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-08-13 17:27:22 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-08-13 17:27:22 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:b32f94f3ec344f0ada893f43a31e781cf66cd8e613bb4cca183ac284ae289cf2",
"RepoTags": [
"alexsuntop/mineru-sglang:2.1.7",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/alexsuntop/mineru-sglang:2.1.7"
],
"RepoDigests": [
"alexsuntop/mineru-sglang@sha256:69426b0610fe3619e312852bfc1fca4f6e8b66217ba9642a67529eceef5be1bb",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/alexsuntop/mineru-sglang@sha256:eb3c2ff63eb63bc27c4e455711c707e720a02eb07b2587c53fa7ad5f15ff7d03"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-07-27T14:58:57.710446905Z",
"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=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551",
"NV_CUDA_CUDART_VERSION=12.6.68-1",
"CUDA_VERSION=12.6.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.6.1-1",
"NV_NVTX_VERSION=12.6.68-1",
"NV_LIBNPP_VERSION=12.3.1.54-1",
"NV_LIBNPP_PACKAGE=libnpp-12-6=12.3.1.54-1",
"NV_LIBCUSPARSE_VERSION=12.5.3.3-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-6",
"NV_LIBCUBLAS_VERSION=12.6.1.4-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-6=12.6.1.4-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.22.3-1",
"NCCL_VERSION=2.22.3-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.22.3-1+cuda12.6",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=12.6.68-1",
"NV_NVML_DEV_VERSION=12.6.68-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.5.3.3-1",
"NV_LIBNPP_DEV_VERSION=12.3.1.54-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-6=12.3.1.54-1",
"NV_LIBCUBLAS_DEV_VERSION=12.6.1.4-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-6",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-6=12.6.1.4-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=12.6.1-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-6=12.6.1-1",
"NV_NVPROF_VERSION=12.6.68-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-6=12.6.68-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
"NV_LIBNCCL_DEV_PACKAGE_VERSION=2.22.3-1",
"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.22.3-1+cuda12.6",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"NV_CUDNN_VERSION=9.3.0.75-1",
"NV_CUDNN_PACKAGE_NAME=libcudnn9-cuda-12",
"NV_CUDNN_PACKAGE=libcudnn9-cuda-12=9.3.0.75-1",
"NV_CUDNN_PACKAGE_DEV=libcudnn9-dev-cuda-12=9.3.0.75-1",
"DEBIAN_FRONTEND=noninteractive",
"CUDA_HOME=/usr/local/cuda",
"GDRCOPY_HOME=/usr/src/gdrdrv-2.4.4/",
"NVSHMEM_DIR=/sgl-workspace/nvshmem/install",
"LANG=en_US.UTF-8",
"LANGUAGE=en_US:en",
"LC_ALL=en_US.UTF-8"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/sgl-workspace/sglang",
"Entrypoint": [
"/bin/bash",
"-c",
"export MINERU_MODEL_SOURCE=local \u0026\u0026 exec \"$@\"",
"--"
],
"OnBuild": null,
"Labels": {
"com.nvidia.cudnn.version": "9.3.0.75-1",
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 28376362158,
"GraphDriver": {
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