镜像构建历史
# 2026-03-30 15:17:59 0.00B 设置默认要执行的命令
CMD ["python3" "start_ai_engine.py"]
# 2026-03-30 15:17:59 0.00B 声明容器运行时监听的端口
EXPOSE map[8001/tcp:{}]
# 2026-03-30 15:17:59 1.28GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-build-isolation --break-system-packages -e "/app/miloco_ai_engine[face]" && pip uninstall -y onnxruntime onnxruntime-gpu 2>/dev/null || true && pip install --no-cache-dir --break-system-packages "onnxruntime-openvino>=1.19.0" && pip install --no-cache-dir --break-system-packages "openvino>=2025.0.0" && python3 -c "import insightface; import onnxruntime; from openvino import Core; print('face deps ok, ov devices=', Core().available_devices)" # buildkit
# 2026-03-30 15:17:13 1.91KB 复制新文件或目录到容器中
COPY scripts/start_ai_engine.py /app/start_ai_engine.py # buildkit
# 2026-03-30 15:17:13 280.79KB 复制新文件或目录到容器中
COPY miloco_ai_engine /app/miloco_ai_engine # buildkit
# 2026-03-30 15:17:13 16.09KB 复制新文件或目录到容器中
COPY config/prompt_config.yaml /app/config/prompt_config.yaml # buildkit
# 2026-03-30 15:17:13 2.44KB 复制新文件或目录到容器中
COPY config/ai_engine_config.yaml /app/config/ai_engine_config.yaml # buildkit
# 2026-03-30 15:17:13 702.18MB 复制新文件或目录到容器中
COPY /app/output /app/output # buildkit
# 2026-03-30 14:35:04 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-03-30 14:35:04 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/app/output/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2026-03-30 14:35:04 942.01MB 执行命令并创建新的镜像层
RUN |2 APT_MIRRORS_URL=http://archive.ubuntu.com/ubuntu/ PIP_INDEX_URL=https://pypi.org/simple/ /bin/sh -c set -eux && sed -i "s|http://archive.ubuntu.com/ubuntu/|${APT_MIRRORS_URL}|g" /etc/apt/sources.list.d/ubuntu.sources && apt update && apt install -y curl python3 python3-pip python3-dev build-essential clinfo ocl-icd-libopencl1 intel-opencl-icd && pip config set global.index-url "${PIP_INDEX_URL}" && pip install --upgrade --break-system-packages setuptools packaging && pip install --no-build-isolation --break-system-packages "numpy>=1.24.0" Cython && pip install --no-build-isolation --break-system-packages /app/miloco_ai_engine && rm -rf /app/miloco_ai_engine && apt clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-03-30 14:32:53 1.49KB 复制新文件或目录到容器中
COPY miloco_ai_engine/pyproject.toml /app/miloco_ai_engine/pyproject.toml # buildkit
# 2026-03-30 14:32:52 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-03-30 14:32:50 47.00B 执行命令并创建新的镜像层
RUN |2 APT_MIRRORS_URL=http://archive.ubuntu.com/ubuntu/ PIP_INDEX_URL=https://pypi.org/simple/ /bin/sh -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone # buildkit
# 2026-03-30 14:32:50 0.00B 设置环境变量 TZ
ENV TZ=Asia/Shanghai
# 2026-03-30 14:32:50 0.00B 定义构建参数
ARG PIP_INDEX_URL
# 2026-03-30 14:32:50 0.00B 定义构建参数
ARG APT_MIRRORS_URL
# 2024-07-11 06:55:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-07-11 06:55:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-07-11 06:55:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-07-11 06:55:37 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-07-11 06:55:37 237.38KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
# 2024-07-11 06:55:37 1.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-5=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-5=${NV_NVTX_VERSION} libcusparse-12-5=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:55:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-07-11 06:55:37 0.00B 定义构建参数
ARG TARGETARCH
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-5=12.5.3.2-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.5.3.2-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-5
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.1.3-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-5=12.3.0.159-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.0.159-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.5.82-1
# 2024-07-11 06:55:37 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.5.1-1
# 2024-07-11 06:46:23 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-07-11 06:46:23 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-07-11 06:46:23 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-07-11 06:46:23 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-07-11 06:46:23 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-07-11 06:46:23 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2024-07-11 06:46:23 151.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-5=${NV_CUDA_CUDART_VERSION} cuda-compat-12-5 && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:46:14 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.5.1
# 2024-07-11 06:46:14 10.21MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-07-11 06:46:14 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-07-11 06:46:14 0.00B 定义构建参数
ARG TARGETARCH
# 2024-07-11 06:46:14 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.5.82-1
# 2024-07-11 06:46:14 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>=12.5 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
# 2024-07-11 06:46:14 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-06-07 20:00:09 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-06-07 20:00:08 78.05MB
/bin/sh -c #(nop) ADD file:5601f441718b0d192d73394b35fd07675342837ec9089ddd52dd1dc0de79630e in /
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=24.04
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-06-07 20:00:06 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"NVIDIA_PRODUCT_NAME=CUDA",
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