docker.io/tnzk/marker:latest linux/amd64

docker.io/tnzk/marker:latest - 国内下载镜像源 浏览次数:120

温馨提示:此镜像为latest tag镜像，本站无法保证此版本为最新镜像

你提供的docker镜像名称是： docker.io/tnzk/marker 这个镜像是用于创建和部署 Docker 容器的软件包。镜像可以想成是一个包含了整个应用程序环境的模板，包括了操作系统、语言运行时、依赖库等。 镜像是以下几个方面的集合：
  1. 操作系统：镜像中包含了一个具体的 Linux 或者其他类型的操作系统版本，可以是 Ubuntu、CentOS 等。
  2. 应用程序代码和配置文件：镜像中也包含了你所要部署的应用程序的源代码和相关配置文件，如环境变量、依赖库等。
镜像是用于创建容器的模板，所以在使用镜像时，可以直接通过 Docker 命令来启动一个新的容器，基于该镜像环境中的一切，来部署你的应用程序。
源镜像 docker.io/tnzk/marker:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest
镜像ID sha256:8972666f5c936ef3b831878c5bd1c482ede2b5f21c0b9365e1528262b51609f2
镜像TAG latest
大小 25.33GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /start.sh
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /marker
OS/平台 linux/amd64
浏览量 120 次
贡献者
镜像创建 2024-02-22T17:48:10.619840635Z
同步时间 2024-09-07 12:52
更新时间 2025-02-21 13:01
环境变量
PATH=/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>=12.1 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.1.105-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1 CUDA_VERSION=12.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.1.1-1 NV_NVTX_VERSION=12.1.105-1 NV_LIBNPP_VERSION=12.1.0.40-1 NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1 NV_LIBCUSPARSE_VERSION=12.1.0.106-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1 NV_LIBCUBLAS_VERSION=12.1.3.1-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1 NCCL_VERSION=2.17.1-1 NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.1.105-1 NV_NVML_DEV_VERSION=12.1.105-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1 NV_LIBNPP_DEV_VERSION=12.1.0.40-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1 NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1 NV_NVPROF_VERSION=12.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs DEBIAN_FRONTEND=noninteractive SHELL=/bin/bash TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata TORCH_DEVICE=cuda MIN_LENGTH=1 NUM_DEVICES=4 NUM_WORKERS=60
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest  docker.io/tnzk/marker:latest

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest  docker.io/tnzk/marker:latest

Shell快速替换命令 

sed -i 's#tnzk/marker:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest#' deployment.yaml

Ansible快速分发-Docker 

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest  docker.io/tnzk/marker:latest'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest  docker.io/tnzk/marker:latest'

镜像构建历史 


# 2024-02-23 01:48:10  3.97MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c poetry run pip install torch # buildkit
                        
# 2024-02-23 01:47:51  12.26GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c poetry install # buildkit
                        
# 2024-02-23 01:32:11  43.42MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c pip install poetry # buildkit
                        
# 2024-02-23 01:32:11  0.00B 设置环境变量 NUM_WORKERS
ENV NUM_WORKERS=60
                        
# 2024-02-23 01:32:11  0.00B 设置环境变量 NUM_DEVICES
ENV NUM_DEVICES=4
                        
# 2024-02-23 01:32:11  0.00B 设置环境变量 MIN_LENGTH
ENV MIN_LENGTH=1
                        
# 2024-02-23 01:32:11  0.00B 设置环境变量 TORCH_DEVICE
ENV TORCH_DEVICE=cuda
                        
# 2024-02-23 01:32:11  0.00B 设置环境变量 TESSDATA_PREFIX
ENV TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata
                        
# 2024-02-23 01:31:43  291.18MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c cat scripts/install/apt-requirements.txt | xargs sudo apt-get install -y # buildkit
                        
# 2024-02-23 01:30:03  47.04MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c (yes || true) | sh scripts/install/ghostscript_install.sh # buildkit
                        
# 2024-02-23 00:29:45  29.42MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c (yes || true) | sh scripts/install/tesseract_5_install.sh # buildkit
                        
# 2024-02-23 00:28:43  0.00B 设置工作目录为/marker
WORKDIR /marker
                        
# 2024-02-23 00:28:43  3.14MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c git clone https://github.com/VikParuchuri/marker.git # buildkit
                        
# 2024-02-23 00:28:41  5.37MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get install -y htop tmux unzip sudo # buildkit
                        
# 2024-02-23 00:28:29  49.30MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update # buildkit
                        
# 2023-11-27 21:22:58  0.00B 设置默认要执行的命令
CMD ["/start.sh"]
                        
# 2023-11-27 21:22:58  3.28KB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c echo 'echo -e "\nFor detailed documentation and guides, please visit:\n\033[1;34mhttps://docs.runpod.io/\033[0m and \033[1;34mhttps://blog.runpod.io/\033[0m\n\n"' >> /root/.bashrc # buildkit
                        
# 2023-11-27 21:22:58  3.13KB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c echo 'cat /etc/runpod.txt' >> /root/.bashrc # buildkit
                        
# 2023-11-27 21:22:58  269.00B 复制新文件或目录到容器中
COPY runpod.txt /etc/runpod.txt # buildkit
                        
# 2023-11-27 21:22:58  2.75KB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c chmod +x /start.sh # buildkit
                        
# 2023-11-27 21:22:57  2.75KB 复制新文件或目录到容器中
COPY start.sh / # buildkit
                        
# 2023-11-27 21:22:57  164.00B 复制新文件或目录到容器中
COPY README.md /usr/share/nginx/html/README.md # buildkit
                        
# 2023-11-27 21:22:57  1.22KB 复制新文件或目录到容器中
COPY readme.html /usr/share/nginx/html/readme.html # buildkit
                        
# 2023-11-27 21:22:57  4.00KB 复制新文件或目录到容器中
COPY nginx.conf /etc/nginx/nginx.conf # buildkit
                        
# 2023-11-27 21:22:57  0.00B 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c rm -f /etc/ssh/ssh_host_* # buildkit
                        
# 2023-11-27 21:22:57  26.38MB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c jupyter contrib nbextension install --user &&     jupyter nbextension enable --py widgetsnbextension # buildkit
                        
# 2023-11-27 21:22:55  58.11MB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c pip install notebook==6.5.5 # buildkit
                        
# 2023-11-27 21:22:51  204.94MB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c pip install --upgrade --no-cache-dir jupyterlab ipywidgets jupyter-archive jupyter_contrib_nbextensions # buildkit
                        
# 2023-11-27 21:22:29  4.90GB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c pip install --upgrade --no-cache-dir ${TORCH} # buildkit
                        
# 2023-11-27 21:21:08  0.00B 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c pip install --upgrade --no-cache-dir pip # buildkit
                        
# 2023-11-27 21:21:07  23.33MB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python &&     rm /usr/bin/python3 &&     ln -s /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 &&     curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py &&     python get-pip.py # buildkit
                        
# 2023-11-27 21:21:02  355.67MB 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get upgrade --yes &&     apt install --yes --no-install-recommends git wget curl bash libgl1 software-properties-common openssh-server nginx &&     add-apt-repository ppa:deadsnakes/ppa &&     apt install "python${PYTHON_VERSION}-dev" "python${PYTHON_VERSION}-venv" -y --no-install-recommends &&     apt-get autoremove -y &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen # buildkit
                        
# 2023-11-27 21:20:27  0.00B 执行命令并创建新的镜像层
RUN |2 TORCH=torch torchvision torchaudio PYTHON_VERSION=3.10 /bin/bash -o pipefail -c mkdir /workspace # buildkit
                        
# 2023-11-27 21:20:27  0.00B 设置工作目录为/
WORKDIR /
                        
# 2023-11-27 21:20:27  0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
                        
# 2023-11-27 21:20:27  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-11-27 21:20:27  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-11-27 21:20:27  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2023-11-27 21:20:27  0.00B 定义构建参数
ARG TORCH
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 13:25:51  385.69KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 13:25:51  4.79GB 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-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:25:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:25:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
                        
# 2023-11-10 13:25:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
                        
# 2023-11-10 13:13:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 13:13:35  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 13:13:35  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 13:13:35  261.40KB 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 13:13:35  2.01GB 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-12-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-1=${NV_NVTX_VERSION}     libcusparse-12-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:13:35  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:13:35  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.0.40-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.105-1
                        
# 2023-11-10 13:13:35  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 13:08:12  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 13:08:12  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 13:08:12  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 13:08:12  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 13:08:12  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 13:08:11  149.59MB 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-12-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.1
                        
# 2023-11-10 13:07:58  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 13:07:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:07:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
                        
# 2023-11-10 13:07:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.105-1
                        
# 2023-11-10 13:07:58  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2023-11-10 13:07:58  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 

{
    "Id": "sha256:8972666f5c936ef3b831878c5bd1c482ede2b5f21c0b9365e1528262b51609f2",
    "RepoTags": [
        "tnzk/marker:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker:latest"
    ],
    "RepoDigests": [
        "tnzk/marker@sha256:4d56acd7ac3be1c6c9e76e2900897fa95a388ab67531223320f464351c3ceb1b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tnzk/marker@sha256:403ca25e1529c8156645fa02df37a9cfa401e851131ae41681a3237fe943408d"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-02-22T17:48:10.619840635Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/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=12.1 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 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.1.105-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
            "CUDA_VERSION=12.1.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.1.1-1",
            "NV_NVTX_VERSION=12.1.105-1",
            "NV_LIBNPP_VERSION=12.1.0.40-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1",
            "NV_LIBCUSPARSE_VERSION=12.1.0.106-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
            "NV_LIBCUBLAS_VERSION=12.1.3.1-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
            "NCCL_VERSION=2.17.1-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=12.1.105-1",
            "NV_NVML_DEV_VERSION=12.1.105-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1",
            "NV_LIBNPP_DEV_VERSION=12.1.0.40-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.1-1",
            "NV_NVPROF_VERSION=12.1.105-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "DEBIAN_FRONTEND=noninteractive",
            "SHELL=/bin/bash",
            "TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata",
            "TORCH_DEVICE=cuda",
            "MIN_LENGTH=1",
            "NUM_DEVICES=4",
            "NUM_WORKERS=60"
        ],
        "Cmd": [
            "/start.sh"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/marker",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 25332121684,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/ae87a1e18ac2ff24d05568f9a78585a6bdaca3a77073311f940e39fd8e97c721/diff:/var/lib/docker/overlay2/c3bc3237d0729e854651a4eec9f994b21601970b35f9a02dd72a94d8af6d594d/diff:/var/lib/docker/overlay2/b79881604006644f24c13828da86cf8cdb3e22f7afd882edb109127eaff34ebf/diff:/var/lib/docker/overlay2/723f51605d28c96f55e0ab904febd0b944c444d3b7c694bf70dfb8762778b165/diff:/var/lib/docker/overlay2/bcf3876a1844abaa1d3906b36cb94c677653061366c01246e95b469d82b3c2fc/diff:/var/lib/docker/overlay2/77db3271f0bba02e300d4a5bb63da85658826fca339ca73f5d9c7a71c8823661/diff:/var/lib/docker/overlay2/9a63250f1771f37f0bb794877e9dc61178156307f2fe4ba808974a738c051c2a/diff:/var/lib/docker/overlay2/ffe7843e8e04dc3e3e5ef8408683efb227a1820a34af2972a76b0e9d73977171/diff:/var/lib/docker/overlay2/a747f3f1dd32cf849df8647d5aab3e88219a1f86346498e8a2560d3ca1ea9132/diff:/var/lib/docker/overlay2/7b66ade9e16839b8bb80d7d83f49583e88694a7debef25d7336e04724d0aa4f2/diff:/var/lib/docker/overlay2/96ec010a49e635ecfade0a3d13927813a4179cdf831e11ad79d8400d5ffbfb89/diff:/var/lib/docker/overlay2/ec714206ac517eb5f01b6ddf4c05f84e91fe453c9efba72b5e286abaca095b3e/diff:/var/lib/docker/overlay2/4f67c71f80c31be79ad1d98ec6f358c38ba3b98b2c0934dce4b1b984ca0f3fe9/diff:/var/lib/docker/overlay2/aef4f2ce6b0fecdd3b4996d78eaabe9f815224b81a7b3020e0a0a63180e77979/diff:/var/lib/docker/overlay2/1df8933a46c4535f9fc7d4d65f07d10d0234b635d6d38a37daceb59a10046c4f/diff:/var/lib/docker/overlay2/12038ae0f0dbce4ef339a70eac6ccccf5cbd82eeaad75fb0d220fc1475bb739d/diff:/var/lib/docker/overlay2/b860f3243155d286ce5e6125bbb38fcae85694ee1bcca82fa1136dae5c908ae9/diff:/var/lib/docker/overlay2/43e9db03f9e2ef630adfed6cadf5916bd18c62380d422168f59aa185bae20334/diff:/var/lib/docker/overlay2/8d902f6ce8f15139c4ce7503fdbaf35f00274502c82a78ed6acd53c112f1fda0/diff:/var/lib/docker/overlay2/10b1807bb39dfb2402a7b0d3be3fa188760529ce79ca73ae15629d837a30ce3a/diff:/var/lib/docker/overlay2/9dea0d9dfe739f9f144b580a7ab93408a37da09f90b0172f4b7921f71160552b/diff:/var/lib/docker/overlay2/74b7aa3ebcef1d638533bb228109078b123c0e77f22d59db623ac171de9d86d6/diff:/var/lib/docker/overlay2/a437f8472172b0b215a43d7cb30a4ade0edcf6350fd9cddc9090126a9762b4c1/diff:/var/lib/docker/overlay2/bc39cb5e71d8d526880ca3a03667129e80b98d2927d9c9e7f4e4f378b9b26b87/diff:/var/lib/docker/overlay2/ac98f17d9010c61a16ffb6aa309ee3de65ad19602a632c842978dbe122c759f1/diff:/var/lib/docker/overlay2/528528752f3fde13a5da0568fe4d8d148092fc1214400a88e8e6e4ef4a461c49/diff:/var/lib/docker/overlay2/b77df8d6b2a6e142fd56872f0877f9b77acfeb0f47b2530faf20bae58ec5d9b1/diff:/var/lib/docker/overlay2/5ba5cb5750b6efe37e47703d2679f7e93232dbd06591ef1f8a271c8b8b84d511/diff:/var/lib/docker/overlay2/77800dede8c5a95b41beb8c2e200d84b4b949378276df4374097f16218745561/diff:/var/lib/docker/overlay2/4a2d2ab010f6fc1ed78cf3bbeb0a1bb5e9ed9536f40ddf160a53dd70ade8d40c/diff:/var/lib/docker/overlay2/624b799a0f42c8a5336f3f3eba4644dbb293d7c7d85b9b9103904232771541ac/diff:/var/lib/docker/overlay2/99ed9f59af5778098312bd27377a0839092e196dd874b374cc4852ef081eca19/diff:/var/lib/docker/overlay2/63172c221e16dab9fcdd94f7835814a4b8e3beb93b28ba7bb6c8c27b96728be2/diff:/var/lib/docker/overlay2/faf7a835741ca03b201baec3c6d5fea8eaea4fadb04cc3f5fe661e89dc354ac8/diff:/var/lib/docker/overlay2/5dab2cc5194276e0f01ef9909204ce39e13f5026e70322fae54420b18bd5592d/diff:/var/lib/docker/overlay2/efa2756507f4bc547f9330eaa6e4fb060648c62c6dcf3f3582ca087cd1ae96e5/diff:/var/lib/docker/overlay2/8cc017abf983e128d690ed0af3f9ea2a48c955fb52b6c5e3c19b1bfc5445e110/diff",
            "MergedDir": "/var/lib/docker/overlay2/6f74b02af2d254c872f25d5ea91d2462886fd4b61d08a682f4385f5edf18caeb/merged",
            "UpperDir": "/var/lib/docker/overlay2/6f74b02af2d254c872f25d5ea91d2462886fd4b61d08a682f4385f5edf18caeb/diff",
            "WorkDir": "/var/lib/docker/overlay2/6f74b02af2d254c872f25d5ea91d2462886fd4b61d08a682f4385f5edf18caeb/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
            "sha256:566cd9dd29d693cf0360da8a73391b843bb6ac8f11b4148acf69c4dc79fa87c5",
            "sha256:6ec2b659c9ab00e2b0fc0acd056577e609cc28649650ec7068b81686f6d1a996",
            "sha256:8afeff4e91d72f3de9232ffc0803f70236e316c27b23ee003e6d47fbfcb6e1c4",
            "sha256:bea30ebbe84377ed36503599c2087cd6bda6f4c96cb59525d238d4a00cf902d3",
            "sha256:b15b1df4adac82b2b46124c743a32d5e982cb6b5ee8a3c04949f809abf8962c9",
            "sha256:83ecbf43a888c43f43b0cd9ec7cf551770790c7aeab17f9536b8820db2c5d45d",
            "sha256:83687aeafbbf74a164a51590ffa36c46e9c41ce4ba3eae9daba1d381c64e5f4b",
            "sha256:3416903c2cc4c9f83472b397741f30365f53543862b03ff5727b42b1a2f938cb",
            "sha256:24e1e08aaa60ea10f478c1b68d9444b8ea74bff76e2547712984b5136e79018e",
            "sha256:7aee75a70a2ff35d4990fab501a025afa498f416cb726ace747ccd7fad6500d4",
            "sha256:3f9dbffddeeb092331749f8302f825962111eb49c3c436455fcaafdb63077a94",
            "sha256:aa747816f9ae632d8fa147887c8ca12a47e76a35d27b2038b3511f9572d8334a",
            "sha256:870e591e9627cc9833e35f4124119035c7ff1608b601d6af199421ca28c6482f",
            "sha256:05087ffff868e4acf6c123435b1ec29d809c1adf10696cb96e04f67a5f5b78c5",
            "sha256:11c13e09a99aca36df8f42353ee442630e2a011bb22b38b6d7f2fc66a8cea40c",
            "sha256:d0ff48a2a4248e3653140997dbe8f409f9b89f0957a5b13485fbe21fc7d9e7a2",
            "sha256:a560d834f7b6609e7b48ebbea63ba197e138d49e05dc42b35c778d7be924250d",
            "sha256:37cdc80c809f862afa654b13b90d35c477c022db04db109a9b9966885aa70636",
            "sha256:1e2e250ad48b3ce812f0bc8f589dafd433035e0f2cdfed20c493ba0a102afbbb",
            "sha256:9e199e55fcf855141a0e90d8daf2aad092c5c3c917e68601f5cf7bdd6d2890fd",
            "sha256:abd322c1cfaddf05ec4b9b139ac2c28bd48349ec8dd39431409a6d0d4933ab50",
            "sha256:48cae9ddfff782b74c8726d071a7ba4dff7e080f93d00446fa18596b3e1aeb34",
            "sha256:b4df11530b1d79943f8604601f340956f82b650072e9f3ceaeaac33db269e33c",
            "sha256:34a76e006abffd5a082cc248fc2cb3724284284eeef92ccef2f4c59ca4890162",
            "sha256:f18ecbf980f246ee166aefaf32f4de6a830a90ac253f1377198d84856eba7f11",
            "sha256:fa72a69ecb0dce45926a80674b2903cd945dc8d7417a4c19708e27eb239485b5",
            "sha256:248c9322892624d0670000ca7067087e1a1c28cab4aa6db5c38543ed61dfdfa9",
            "sha256:1dc0130d6dfe456da897a24b48f33a1451bacee617edb5b87f2ef916c579c68a",
            "sha256:997220c53bb3b0b49b3d334c14b839cd7a4a97770e3f969179473976d91a1d31",
            "sha256:a9ca050fea05764eacff0a053e137159344793e34d5f6da2cd144e1951ef6290",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:5fd8f61c4ca6653ac8abc5aebac2fc65f829d16f45217da8dca3e3db7c60a055",
            "sha256:a02e54f8d5bbc5e463ee0132f9a4f1fe72bd587549f67671ac93071dea25e05b",
            "sha256:f09ccc1db1c8aaeda1c8a3e85e54941c988fad6b8671f6112c565ab75dff941e",
            "sha256:82bb5488560ca1d74b1f808042598d5755854809e44bbcc8ee68dc7480e84422",
            "sha256:863e5d150faacc2ef91cc94754b7f1e001002dace51dd0c208d607082362df4d",
            "sha256:87625f0697b4be8bf2408589f72a46e893421017257098d15257628d687b8ab4"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-09-07T12:24:58.634591067+08:00"
    }
}

更多版本

docker.io/tnzk/marker:latest

linux/amd64 docker.io25.33GB2024-09-07 12:52
119