docker.io/ignacioaal/deepseek-ocr-2:v1 linux/amd64

docker.io/ignacioaal/deepseek-ocr-2:v1 - 国内下载镜像源 浏览次数:33

该Docker镜像封装了DeepSeek OCR 2模型及其运行环境,用于提供光学字符识别(OCR)服务,支持从图像中提取文字信息,适用于需要文本识别的各类应用场景,可快速部署使用。

源镜像 docker.io/ignacioaal/deepseek-ocr-2:v1
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1
镜像ID sha256:10a347dbe9033d150f6d79d64de092abf0e273e04e3a4ce2c2c06e543aa9d930
镜像TAG v1
大小 13.24GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD python -u /handler.py
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /app
OS/平台 linux/amd64
浏览量 33 次
贡献者
镜像创建 2026-01-27T21:21:06.789030637Z
同步时间 2026-02-02 00:26
更新时间 2026-02-03 05:02
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 TZ=UTC PYTHONUNBUFFERED=1
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

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1  docker.io/ignacioaal/deepseek-ocr-2:v1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1  docker.io/ignacioaal/deepseek-ocr-2:v1

Shell快速替换命令

sed -i 's#ignacioaal/deepseek-ocr-2:v1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1#' 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/ignacioaal/deepseek-ocr-2:v1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1  docker.io/ignacioaal/deepseek-ocr-2:v1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ignacioaal/deepseek-ocr-2:v1  docker.io/ignacioaal/deepseek-ocr-2:v1'

镜像构建历史


# 2026-01-28 05:21:06  0.00B 设置默认要执行的命令
CMD ["python" "-u" "/handler.py"]
                        
# 2026-01-28 05:21:06  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2026-01-28 05:21:06  3.58KB 复制新文件或目录到容器中
COPY src/handler.py /handler.py # buildkit
                        
# 2026-01-28 05:21:06  0.00B 定义构建参数
ARG HANDLER_VERSION=1
                        
# 2026-01-28 05:21:06  263.13MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c pip install --no-cache-dir -r requirements.txt # buildkit
                        
# 2026-01-28 05:20:48  132.00B 复制新文件或目录到容器中
COPY src/requirements.txt . # buildkit
                        
# 2026-01-28 05:17:17  9.22MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c pip install --no-cache-dir --upgrade pip # buildkit
                        
# 2026-01-28 05:17:13  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-01-28 05:17:13  15.88MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update && apt-get install -y --no-install-recommends     git     wget     && apt-get clean     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-28 05:17:13  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2026-01-28 05:17:13  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-02-06 07:27:38  0.00B 设置默认要执行的命令
CMD ["/start.sh"]
                        
# 2024-02-06 07:27:38  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
                        
# 2024-02-06 07:27:38  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
                        
# 2024-02-06 07:27:38  269.00B 复制新文件或目录到容器中
COPY runpod.txt /etc/runpod.txt # buildkit
                        
# 2024-02-06 07:27:38  3.23KB 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
                        
# 2024-02-06 07:27:37  3.23KB 复制新文件或目录到容器中
COPY start.sh / # buildkit
                        
# 2024-02-06 07:27:37  164.00B 复制新文件或目录到容器中
COPY README.md /usr/share/nginx/html/README.md # buildkit
                        
# 2024-02-06 07:27:37  1.22KB 复制新文件或目录到容器中
COPY readme.html /usr/share/nginx/html/readme.html # buildkit
                        
# 2024-02-06 07:27:37  4.00KB 复制新文件或目录到容器中
COPY nginx.conf /etc/nginx/nginx.conf # buildkit
                        
# 2024-02-06 07:27:37  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
                        
# 2024-02-06 07:27:37  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
                        
# 2024-02-06 07:27:35  58.12MB 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
                        
# 2024-02-06 07:27:31  218.19MB 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
                        
# 2024-02-06 07:27:11  5.14GB 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
                        
# 2024-02-06 07:25:47  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
                        
# 2024-02-06 07:25:46  23.35MB 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
                        
# 2024-02-06 07:25:41  457.46MB 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
                        
# 2024-02-06 07:24:47  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
                        
# 2024-02-06 07:24:47  0.00B 设置工作目录为/
WORKDIR /
                        
# 2024-02-06 07:24:47  0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
                        
# 2024-02-06 07:24:47  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-02-06 07:24:47  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2024-02-06 07:24:47  0.00B 定义构建参数
ARG PYTHON_VERSION
                        
# 2024-02-06 07:24:47  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

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更多版本

docker.io/ignacioaal/deepseek-ocr-2:v1

linux/amd64 docker.io13.24GB2026-02-02 00:26
32