镜像构建历史
# 2021-09-24 18:46:53 0.00B
/bin/sh -c #(nop) ENTRYPOINT ["entrypoint.sh"]
# 2021-09-24 18:46:53 21.00B
/bin/sh -c #(nop) ADD file:3caae56a99e69ae457bbf75a750616e8abebd4ba8ec485714ae4f5453b4ab173 in /home/user/.local/bin/entrypoint.sh
# 2021-09-24 18:46:53 0.00B
/bin/sh -c #(nop) ENV TORCH_HOME=/home/user/.torch
# 2021-09-24 18:46:53 71.98MB
|1 USERNAME=user /bin/sh -c pip install scikit-image==0.17.2
# 2021-09-24 18:43:54 5.21GB
|1 USERNAME=user /bin/sh -c pip install numpy scipy torch==1.8.1 torchvision opencv-python tensorflow joblib matplotlib pandas albumentations==0.5.2 pytorch-lightning==1.2.9 tabulate easydict==1.9.0 kornia==0.5.0 webdataset packaging gpustat tqdm pyyaml hydra-core==1.1.0.dev6 scikit-learn==0.24.2 tabulate
# 2021-09-24 18:40:54 10.34MB
|1 USERNAME=user /bin/sh -c pip install -U pip
# 2021-09-24 18:40:49 741.41MB
|1 USERNAME=user /bin/sh -c wget -O /tmp/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-py39_4.9.2-Linux-x86_64.sh && echo "536817d1b14cb1ada88900f5be51ce0a5e042bae178b5550e62f61e223deae7c /tmp/miniconda.sh" > /tmp/miniconda.sh.sha256 && sha256sum --check --status < /tmp/miniconda.sh.sha256 && bash /tmp/miniconda.sh -bt -p "/home/$USERNAME/miniconda3" && rm /tmp/miniconda.sh && conda build purge && conda init
# 2021-09-24 18:39:48 0.00B
/bin/sh -c #(nop) ENV PYTHONPATH=/home/user/project
# 2021-09-24 18:39:47 0.00B
/bin/sh -c #(nop) ENV PATH=/home/user/miniconda3/bin:/home/user/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2021-09-24 18:39:47 0.00B
/bin/sh -c #(nop) WORKDIR /home/user
# 2021-09-24 18:39:47 0.00B
/bin/sh -c #(nop) USER user:user
# 2021-09-24 18:39:47 2.64MB
|1 USERNAME=user /bin/sh -c apt-get install -y sudo && addgroup --gid 1000 $USERNAME && adduser --uid 1000 --gid 1000 --disabled-password --gecos '' $USERNAME && adduser $USERNAME sudo && echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers && USER=$USERNAME && GROUP=$USERNAME
# 2021-09-24 18:39:44 0.00B
/bin/sh -c #(nop) ARG USERNAME=user
# 2021-09-24 18:39:44 294.86MB
/bin/sh -c apt-get update && apt-get upgrade -y && apt-get install -y wget mc tmux nano build-essential rsync
# 2021-09-18 02:13:56 251.67KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBNCCL_PACKAGE_NAME} ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
# 2021-09-18 02:13:56 1.24GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-10-2=${NV_CUDA_LIB_VERSION} cuda-npp-10-2=${NV_LIBNPP_VERSION} cuda-nvtx-10-2=${NV_NVTX_VERSION} cuda-cusparse-10-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2021-09-18 02:13:56 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2021-09-18 02:13:56 0.00B 定义构建参数
ARG TARGETARCH
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda10.2
# 2021-09-18 02:13:56 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.11.4
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=10.2.2.89-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas10
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=10.2.89-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=10.2.89-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=10.2.89-1
# 2021-09-18 02:13:56 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=10.2.89-1
# 2021-09-18 02:09:27 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2021-09-18 02:09:27 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2021-09-18 02:09:27 16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2021-09-18 02:09:27 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2021-09-18 02:09:27 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
# 2021-09-18 02:09:27 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
# 2021-09-18 02:09:27 27.18MB 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-10-2=${NV_CUDA_CUDART_VERSION} cuda-compat-10-2 && ln -s cuda-10.2 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
# 2021-09-18 02:09:16 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=10.2.89
# 2021-09-18 02:09:16 16.53MB 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/ubuntu1804/${NVARCH}/7fa2af80.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && if [ ! -z ${NV_ML_REPO_ENABLED} ]; then echo "deb ${NV_ML_REPO_URL} /" > /etc/apt/sources.list.d/nvidia-ml.list; fi && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2021-09-18 02:09:16 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2021-09-18 02:09:16 0.00B 定义构建参数
ARG TARGETARCH
# 2021-09-18 02:09:16 0.00B 设置环境变量 NV_ML_REPO_URL
ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64
# 2021-09-18 02:09:16 0.00B 设置环境变量 NV_ML_REPO_ENABLED
ENV NV_ML_REPO_ENABLED=1
# 2021-09-18 02:09:16 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=10.2.89-1
# 2021-09-18 02:09:16 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=10.2 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441
# 2021-09-18 02:09:16 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2021-08-31 09:20:48 0.00B
/bin/sh -c #(nop) CMD ["bash"]
# 2021-08-31 09:20:48 63.14MB
/bin/sh -c #(nop) ADD file:425a053fd043786e9454fb269d4c93c624550fb913a8c96d03ddd430b4e6c1c3 in /
镜像信息
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"RepoTags": [
"windj007/lama:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/windj007/lama:latest"
],
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],
"Parent": "",
"Comment": "",
"Created": "2021-09-24T10:46:53.597149026Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "19.03.13",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "user:user",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/home/user/miniconda3/bin:/home/user/.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=10.2 brand=tesla,driver\u003e=396,driver\u003c397 brand=tesla,driver\u003e=410,driver\u003c411 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=440,driver\u003c441",
"NV_CUDA_CUDART_VERSION=10.2.89-1",
"NV_ML_REPO_ENABLED=1",
"NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64",
"CUDA_VERSION=10.2.89",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=10.2.89-1",
"NV_NVTX_VERSION=10.2.89-1",
"NV_LIBNPP_VERSION=10.2.89-1",
"NV_LIBCUSPARSE_VERSION=10.2.89-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas10",
"NV_LIBCUBLAS_VERSION=10.2.2.89-1",
"NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.11.4-1",
"NCCL_VERSION=2.11.4",
"NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda10.2",
"PYTHONPATH=/home/user/project",
"TORCH_HOME=/home/user/.torch"
],
"Cmd": null,
"Image": "sha256:8c27b0760f771371a6afa56c9e46ae21104021fa240d4758c3786810f8e64ef9",
"Volumes": null,
"WorkingDir": "/home/user",
"Entrypoint": [
"entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e"
}
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"Os": "linux",
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