镜像构建历史
# 2024-03-28 16:47:52 0.00B 设置默认要执行的命令
CMD ["dbgpt" "start" "webserver"]
# 2024-03-28 16:47:52 0.00B 声明容器运行时监听的端口
EXPOSE map[5000/tcp:{}]
# 2024-03-28 16:47:52 0.00B 设置环境变量 PYTHONPATH
ENV PYTHONPATH=/app:
# 2024-03-28 16:47:52 0.00B 执行命令并创建新的镜像层
RUN |7 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default BUILD_LOCAL_CODE=false LOAD_EXAMPLES=true /bin/sh -c (if [ "${LANGUAGE}" = "zh" ]; then ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo "Asia/Shanghai" > /etc/timezone; fi;) # buildkit
# 2024-03-28 16:47:52 40.96KB 执行命令并创建新的镜像层
RUN |7 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default BUILD_LOCAL_CODE=false LOAD_EXAMPLES=true /bin/sh -c (if [ "${LOAD_EXAMPLES}" = "true" ]; then mkdir -p /app/pilot/data && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/case_1_student_manager_sqlite.sql && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/case_2_ecom_sqlite.sql && sqlite3 /app/pilot/data/default_sqlite.db < /app/docker/examples/sqls/test_case_info_sqlite.sql; fi;) # buildkit
# 2024-03-28 16:47:51 0.00B 定义构建参数
ARG LOAD_EXAMPLES=true
# 2024-03-28 16:47:51 131.85MB 复制新文件或目录到容器中
COPY . /app # buildkit
# 2024-03-28 16:47:51 0.00B 定义构建参数
ARG BUILD_LOCAL_CODE=false
# 2024-03-28 16:47:51 87.85MB 执行命令并创建新的镜像层
RUN |5 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default /bin/sh -c (if [ "${LANGUAGE}" = "zh" ]; then wget https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.5.0/zh_core_web_sm-3.5.0-py3-none-any.whl -O /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl && pip3 install /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl -i $PIP_INDEX_URL && rm /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl; else python3 -m spacy download zh_core_web_sm; fi;) && rm -rf `pip3 cache dir` # buildkit
# 2024-03-28 16:47:43 8.68GB 执行命令并创建新的镜像层
RUN |5 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default /bin/sh -c pip3 install --upgrade pip -i $PIP_INDEX_URL && pip3 install -i $PIP_INDEX_URL ".[$DB_GPT_INSTALL_MODEL]" && pip3 install -i $PIP_INDEX_URL ".[openai]" # buildkit
# 2024-03-28 16:42:16 0.00B 设置工作目录为/app
WORKDIR /app
# 2024-03-28 16:42:16 11.76KB 复制新文件或目录到容器中
COPY ./README.md /app/README.md # buildkit
# 2024-03-28 16:42:16 23.06KB 复制新文件或目录到容器中
COPY ./setup.py /app/setup.py # buildkit
# 2024-03-28 16:42:16 0.00B 执行命令并创建新的镜像层
RUN |5 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 BUILD_LOCAL_CODE=false LANGUAGE=en PIP_INDEX_URL=https://pypi.org/simple DB_GPT_INSTALL_MODEL=default /bin/sh -c mkdir -p /app # buildkit
# 2024-03-28 16:42:16 0.00B 设置环境变量 DB_GPT_INSTALL_MODEL
ENV DB_GPT_INSTALL_MODEL=default
# 2024-03-28 16:42:16 0.00B 定义构建参数
ARG DB_GPT_INSTALL_MODEL=default
# 2024-03-28 16:42:16 0.00B 设置环境变量 PIP_INDEX_URL
ENV PIP_INDEX_URL=https://pypi.org/simple
# 2024-03-28 16:42:16 0.00B 定义构建参数
ARG PIP_INDEX_URL=https://pypi.org/simple
# 2024-03-28 16:42:16 0.00B 定义构建参数
ARG LANGUAGE=en
# 2024-03-28 16:42:16 0.00B 定义构建参数
ARG BUILD_LOCAL_CODE=false
# 2024-03-28 16:42:16 473.78MB 执行命令并创建新的镜像层
RUN |1 BASE_IMAGE=nvidia/cuda:11.8.0-runtime-ubuntu22.04 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y git python3 pip wget sqlite3 tzdata libpq-dev default-libmysqlclient-dev && apt-get clean # buildkit
# 2024-03-28 16:42:16 0.00B 定义构建参数
ARG BASE_IMAGE
# 2023-11-10 14:42:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 14:42:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 14:42:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 14:42:37 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 14:42:37 260.16KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 14:42:36 2.41GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${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 14:42:36 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:42:36 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
# 2023-11-10 14:42:36 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 14:42:36 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 14:42:36 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
# 2023-11-10 14:42:36 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 14:42:36 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
# 2023-11-10 14:42:36 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
# 2023-11-10 14:37:16 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 14:37:16 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 14:37:16 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 14:37:16 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 14:37:16 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 14:37:16 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 14:37:16 150.67MB 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} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:37:01 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
# 2023-11-10 14:37:01 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 14:37:01 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:37:01 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:37:01 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
# 2023-11-10 14:37:01 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
# 2023-11-10 14:37:01 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 14:37:01 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
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"eosphorosai/dbgpt:v0.5.3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eosphorosai/dbgpt:v0.5.3"
],
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"eosphorosai/dbgpt@sha256:e17848b52ba38ddb0dbe5a3426391a2dd0fb03675300679c1833c3c17832990e",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eosphorosai/dbgpt@sha256:044f771cdfe56e3694c2fb7495313ade80f6e17f911a6c0a544787e79801f580"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-03-28T08:47:52.135187393Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
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"User": "",
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"AttachStdout": false,
"AttachStderr": false,
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"NV_CUDA_CUDART_VERSION=11.8.89-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
"CUDA_VERSION=11.8.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=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=2.15.5-1",
"NCCL_VERSION=2.15.5-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8",
"NVIDIA_PRODUCT_NAME=CUDA",
"PIP_INDEX_URL=https://pypi.org/simple",
"DB_GPT_INSTALL_MODEL=default",
"PYTHONPATH=/app:"
],
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"dbgpt",
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],
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