镜像构建历史
# 2025-05-31 03:13:30 6.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m olmocr.pipeline --help # buildkit
# 2025-05-31 03:13:26 95.30MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3 -m sglang.launch_server --help # buildkit
# 2025-05-31 03:13:09 482.83KB 复制新文件或目录到容器中
COPY scripts scripts # buildkit
# 2025-05-31 03:13:09 7.53MB 复制新文件或目录到容器中
COPY olmocr olmocr # buildkit
# 2025-05-31 03:13:08 937.68MB 执行命令并创建新的镜像层
RUN /bin/sh -c playwright install chromium # buildkit
# 2025-05-31 03:13:00 247.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c playwright install-deps # buildkit
# 2025-05-31 03:12:23 156.83MB 执行命令并创建新的镜像层
RUN /bin/sh -c /root/.local/bin/uv pip install --system --no-cache ".[bench]" # buildkit
# 2025-05-31 03:12:21 8.84GB 执行命令并创建新的镜像层
RUN /bin/sh -c /root/.local/bin/uv pip install --system --no-cache ".[gpu]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/ # buildkit
# 2025-05-31 03:11:35 5.73GB 执行命令并创建新的镜像层
RUN /bin/sh -c /root/.local/bin/uv pip install --system --no-cache -e . # buildkit
# 2025-05-31 03:11:04 408.00B 复制新文件或目录到容器中
COPY olmocr/version.py olmocr/version.py # buildkit
# 2025-05-31 03:11:04 3.75KB 复制新文件或目录到容器中
COPY pyproject.toml pyproject.toml # buildkit
# 2025-05-31 03:11:04 0.00B 设置工作目录为/root
WORKDIR /root
# 2025-05-31 03:11:04 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2025-05-31 03:11:04 43.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c /install.sh && rm /install.sh # buildkit
# 2025-05-31 03:11:03 62.99KB 复制文件或目录到容器中
ADD --chmod=755 https://astral.sh/uv/install.sh /install.sh # buildkit
# 2025-05-31 03:11:03 67.49MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get -y install python3.11-venv # buildkit
# 2025-05-31 03:10:56 24.37MB 执行命令并创建新的镜像层
RUN /bin/sh -c rm -rf /var/lib/apt/lists/* && unlink /usr/bin/python3 && ln -s /usr/bin/python3.11 /usr/bin/python3 && ln -s /usr/bin/python3 /usr/bin/python && curl -sS https://bootstrap.pypa.io/get-pip.py | python && pip3 install -U pip # buildkit
# 2025-05-31 03:10:53 292.71MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y && apt-get install -y --no-install-recommends git git-lfs python3.11 python3.11-dev python3.11-distutils ca-certificates build-essential curl wget unzip # buildkit
# 2025-05-31 03:10:29 514.11MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y && apt-get install -y poppler-utils ttf-mscorefonts-installer msttcorefonts fonts-crosextra-caladea fonts-crosextra-carlito gsfonts lcdf-typetools # buildkit
# 2025-05-31 03:09:49 1.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c echo "ttf-mscorefonts-installer msttcorefonts/accepted-mscorefonts-eula select true" | debconf-set-selections # buildkit
# 2025-05-31 03:09:49 8.39KB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get -y install python3-apt # buildkit
# 2025-05-31 03:09:45 182.78MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -y && apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa && apt-get -y update # buildkit
# 2023-11-10 15:09:31 1.09GB 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} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:09:31 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.6.50
# 2023-11-10 15:09:31 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 15:09:31 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 15:09:31 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8
# 2023-11-10 15:09:31 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 15:09:31 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.6.50
# 2023-11-10 14:43:29 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 14:43:29 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 14:43:29 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 14:43:29 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 14:43:29 258.26KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 14:43:29 2.42GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${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
# 2023-11-10 14:43:29 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:43:29 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8
# 2023-11-10 14:43:29 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.16.2-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.16.2-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
# 2023-11-10 14:43:29 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
# 2023-11-10 14:37:17 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 14:37:17 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 14:37:17 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 14:37:17 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 14:37:17 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 14:37:17 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 14:37:17 150.68MB 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-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:37:03 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
# 2023-11-10 14:37:03 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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
# 2023-11-10 14:37:03 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:37:03 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:37:03 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
# 2023-11-10 14:37:03 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
# 2023-11-10 14:37:03 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
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
# 2023-11-10 14:37:03 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-03 18:45:52 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-03 18:45:51 72.79MB
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"NV_CUDA_CUDART_VERSION=11.8.89-1",
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"CUDA_VERSION=11.8.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
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"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=2.16.2-1",
"NCCL_VERSION=2.16.2-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.16.2-1+cuda11.8",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDNN_VERSION=8.9.6.50",
"NV_CUDNN_PACKAGE_NAME=libcudnn8",
"NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8",
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"org.opencontainers.image.source": "https://github.com/allenai/olmocr",
"org.opencontainers.image.title": "olmocr",
"org.opencontainers.image.url": "https://github.com/allenai/olmocr",
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