PATH=/usr/local/bin:/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>=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
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
DEBIAN_FRONTEND=noninteractive
LANG=C.UTF-8
GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
PYTHON_VERSION=3.11.6
PYTHON_PIP_VERSION=23.2.1
PYTHON_SETUPTOOLS_VERSION=65.5.1
PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb/public/get-pip.py
PYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6
镜像构建历史
# 2024-09-24 11:24:34 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2024-09-24 11:24:34 11.84MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends wget; wget -O get-pip.py "$PYTHON_GET_PIP_URL"; echo "$PYTHON_GET_PIP_SHA256 *get-pip.py" | sha256sum -c -; apt-mark auto '.*' > /dev/null; [ -z "$savedAptMark" ] || apt-mark manual $savedAptMark > /dev/null; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; rm -rf /var/lib/apt/lists/*; export PYTHONDONTWRITEBYTECODE=1; python get-pip.py --disable-pip-version-check --no-cache-dir --no-compile "pip==$PYTHON_PIP_VERSION" "setuptools==$PYTHON_SETUPTOOLS_VERSION" ; rm -f get-pip.py; pip --version # buildkit
# 2024-09-24 11:24:23 0.00B 设置环境变量 PYTHON_GET_PIP_SHA256
ENV PYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6
# 2024-09-24 11:24:23 0.00B 设置环境变量 PYTHON_GET_PIP_URL
ENV PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb/public/get-pip.py
# 2024-09-24 11:24:23 0.00B 设置环境变量 PYTHON_SETUPTOOLS_VERSION
ENV PYTHON_SETUPTOOLS_VERSION=65.5.1
# 2024-09-24 11:24:23 0.00B 设置环境变量 PYTHON_PIP_VERSION
ENV PYTHON_PIP_VERSION=23.2.1
# 2024-09-24 11:24:23 32.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; for src in idle3 pydoc3 python3 python3-config; do dst="$(echo "$src" | tr -d 3)"; [ -s "/usr/local/bin/$src" ]; [ ! -e "/usr/local/bin/$dst" ]; ln -svT "$src" "/usr/local/bin/$dst"; done # buildkit
# 2024-09-24 11:24:22 58.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev gcc gnupg libbluetooth-dev libbz2-dev libc6-dev libdb-dev libexpat1-dev libffi-dev libgdbm-dev liblzma-dev libncursesw5-dev libreadline-dev libsqlite3-dev libssl-dev make tk-dev uuid-dev wget xz-utils zlib1g-dev ; wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; gpg --batch --verify python.tar.xz.asc python.tar.xz; gpgconf --kill all; rm -rf "$GNUPGHOME" python.tar.xz.asc; mkdir -p /usr/src/python; tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; rm python.tar.xz; cd /usr/src/python; gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; ./configure --build="$gnuArch" --enable-loadable-sqlite-extensions --enable-optimizations --enable-option-checking=fatal --enable-shared --with-lto --with-system-expat --without-ensurepip ; nproc="$(nproc)"; EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; LDFLAGS="${LDFLAGS:--Wl},--strip-all"; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:-}" "PROFILE_TASK=${PROFILE_TASK:-}" ; rm python; make -j "$nproc" "EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" "LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" "PROFILE_TASK=${PROFILE_TASK:-}" python ; make install; cd /; rm -rf /usr/src/python; find /usr/local -depth \( \( -type d -a \( -name test -o -name tests -o -name idle_test \) \) -o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) \) -exec rm -rf '{}' + ; ldconfig; apt-mark auto '.*' > /dev/null; apt-mark manual $savedAptMark; find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' | awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' | sort -u | xargs -r dpkg-query --search | cut -d: -f1 | sort -u | xargs -r apt-mark manual ; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; rm -rf /var/lib/apt/lists/*; python3 --version # buildkit
# 2024-09-24 11:15:56 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.6
# 2024-09-24 11:15:56 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2024-09-24 11:15:56 4.63MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; apt-get update; apt-get install -y --no-install-recommends ca-certificates netbase tzdata ; rm -rf /var/lib/apt/lists/* # buildkit
# 2024-09-24 11:15:56 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2024-09-24 11:15:56 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2024-09-24 11:15:56 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 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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],
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],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-09-24T03:24:34.305901105Z",
"Container": "",
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"DockerVersion": "",
"Author": "",
"Config": {
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"User": "",
"AttachStdin": false,
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"Tty": false,
"OpenStdin": false,
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"Env": [
"PATH=/usr/local/bin:/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=11.8 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",
"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",
"DEBIAN_FRONTEND=noninteractive",
"LANG=C.UTF-8",
"GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
"PYTHON_VERSION=3.11.6",
"PYTHON_PIP_VERSION=23.2.1",
"PYTHON_SETUPTOOLS_VERSION=65.5.1",
"PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb/public/get-pip.py",
"PYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6"
],
"Cmd": [
"python3"
],
"ArgsEscaped": true,
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"Entrypoint": [
"/opt/nvidia/nvidia_entrypoint.sh"
],
"OnBuild": null,
"Labels": {
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"org.opencontainers.image.ref.name": "ubuntu",
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}
},
"Architecture": "amd64",
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"Size": 2726179609,
"GraphDriver": {
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