docker.io/anetaco/marker:v6 linux/amd64
docker.io/anetaco/marker:v6 - 国内下载镜像源 浏览次数:147源镜像 | docker.io/anetaco/marker:v6 |
国内镜像 | swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 |
镜像ID | sha256:9f942adfb961aad44c27e0b0ca51c9cec65d59221eb3aef83877839f1cd24373 |
镜像TAG | v6 |
大小 | 18.74GB |
镜像源 | docker.io |
项目信息 | Docker-Hub主页 🚀项目TAG 🚀 |
CMD | /bin/bash -o pipefail -c python${PYTHON_VERSION} -u /handler.py |
启动入口 | /opt/nvidia/nvidia_entrypoint.sh |
工作目录 | / |
OS/平台 | linux/amd64 |
浏览量 | 147 次 |
贡献者 | |
镜像创建 | 2024-07-16T01:42:04.149754956Z |
同步时间 | 2024-09-07 17:20 |
更新时间 | 2025-01-04 15:22 |
Docker拉取命令 无权限下载?点我修复
docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6
docker tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 docker.io/anetaco/marker:v6
Containerd拉取命令
ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6
ctr images tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 docker.io/anetaco/marker:v6
Shell快速替换命令
sed -i 's#anetaco/marker:v6#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6#' deployment.yaml
Ansible快速分发-Docker
#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 && docker tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 docker.io/anetaco/marker:v6'
Ansible快速分发-Containerd
#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 && ctr images tag swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6 docker.io/anetaco/marker:v6'
镜像构建历史
# 2024-07-16 09:42:04 0.00B 设置默认要执行的命令
CMD ["/bin/bash" "-o" "pipefail" "-c" "python${PYTHON_VERSION} -u /handler.py"]
# 2024-07-16 09:42:04 2.60KB 复制文件或目录到容器中
ADD .runpod/worker-marker/src/ . # buildkit
# 2024-07-16 08:10:15 15.33KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c curl -o /test.pdf https://www.biorxiv.org/content/10.1101/2022.04.24.489293v1.full.pdf # buildkit
# 2024-07-16 08:10:14 8.95GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c pip${PYTHON_VERSION} install --compile -U 'runpod>=1.6.2' hf_transfer 'marker-pdf>=0.2.16' aioboto3 cloudpickle tenacity # buildkit
# 2024-07-16 08:10:14 0.00B 设置环境变量 TORCH_HOME
ENV TORCH_HOME=/runpod-volume/torch
# 2024-07-16 08:10:14 0.00B 设置环境变量 PYTORCH_KERNEL_CACHE_PATH
ENV PYTORCH_KERNEL_CACHE_PATH=/runpod-volume/pytorch-kernel-cache
# 2024-07-16 08:10:14 0.00B 设置环境变量 TORCHINDUCTOR_CACHE_DIR
ENV TORCHINDUCTOR_CACHE_DIR=/runpod-volume/torchinductor-cache
# 2024-07-16 08:10:14 0.00B 设置环境变量 USE_PYTORCH_KERNEL_CACHE
ENV USE_PYTORCH_KERNEL_CACHE=1
# 2024-07-16 08:10:14 0.00B 设置环境变量 TORCHINDUCTOR_FX_GRAPH_CACHE
ENV TORCHINDUCTOR_FX_GRAPH_CACHE=1
# 2024-07-16 08:10:14 0.00B 设置环境变量 RECOGNITION_STATIC_CACHE
ENV RECOGNITION_STATIC_CACHE=1
# 2024-07-16 08:10:14 0.00B 设置环境变量 HF_HUB_ENABLE_HF_TRANSFER
ENV HF_HUB_ENABLE_HF_TRANSFER=1
# 2024-07-16 08:10:14 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11
# 2024-02-27 08:06:32 0.00B 设置默认要执行的命令
CMD ["/start.sh"]
# 2024-02-27 08:06:32 3.30KB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /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
# 2024-02-27 08:06:32 3.15KB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c echo 'cat /etc/runpod.txt' >> /root/.bashrc # buildkit
# 2024-02-27 08:06:32 269.00B 复制新文件或目录到容器中
COPY runpod.txt /etc/runpod.txt # buildkit
# 2024-02-27 08:06:32 4.48KB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c chmod +x /start.sh && chmod +x /post_start.sh # buildkit
# 2024-02-27 08:06:31 1.25KB 复制新文件或目录到容器中
COPY post_start.sh / # buildkit
# 2024-02-27 08:06:31 3.23KB 复制新文件或目录到容器中
COPY start.sh / # buildkit
# 2024-02-27 08:06:31 1.72KB 复制新文件或目录到容器中
COPY README.md /usr/share/nginx/html/README.md # buildkit
# 2024-02-27 08:06:31 1.22KB 复制新文件或目录到容器中
COPY readme.html /usr/share/nginx/html/readme.html # buildkit
# 2024-02-27 08:06:31 4.55KB 复制新文件或目录到容器中
COPY nginx.conf /etc/nginx/nginx.conf # buildkit
# 2024-02-27 08:06:31 82.46MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c brew install uv # buildkit
# 2024-02-27 08:06:18 56.62MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c brew tap filebrowser/tap && brew install filebrowser # buildkit
# 2024-02-27 08:05:53 334.50MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c brew update && brew install pyenv # buildkit
# 2024-02-27 08:02:21 0.00B 设置环境变量 PATH
ENV PATH=/home/linuxbrew/.linuxbrew/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-02-27 08:02:21 196.05MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" # buildkit
# 2024-02-27 08:01:59 26.16MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c curl -LsSf https://astral.sh/uv/install.sh | sh # buildkit
# 2024-02-27 08:01:57 35.15MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c python3.7 -m pip install virtualenv && python3.8 -m pip install virtualenv && python3.9 -m pip install virtualenv && python3.10 -m pip install virtualenv && python3.11 -m pip install virtualenv # buildkit
# 2024-02-27 08:01:45 1.78KB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c python3.7 -m pip install --upgrade pip && python3.8 -m pip install --upgrade pip && python3.9 -m pip install --upgrade pip && python3.10 -m pip install --upgrade pip && python3.11 -m pip install --upgrade pip # buildkit
# 2024-02-27 08:01:38 97.56MB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3.7 get-pip.py && python3.8 get-pip.py && python3.9 get-pip.py && python3.10 get-pip.py && python3.11 get-pip.py # buildkit
# 2024-02-27 08:00:58 2.39GB 执行命令并创建新的镜像层
RUN |1 BASE_RELEASE_VERSION=0.6.2 /bin/bash -o pipefail -c apt-get update --yes && apt-get upgrade --yes && apt install --yes --no-install-recommends bash ca-certificates curl file git inotify-tools jq libgl1 lsof vim nano tmux nginx openssh-server procps rsync sudo software-properties-common unzip wget zip && apt install --yes --no-install-recommends build-essential make cmake gfortran libblas-dev liblapack-dev && apt install --yes --no-install-recommends ffmpeg libavcodec-dev libavfilter-dev libavformat-dev libavutil-dev libjpeg-dev libpng-dev libpostproc-dev libswresample-dev libswscale-dev libtiff-dev libv4l-dev libx264-dev libxext6 libxrender-dev libxvidcore-dev && apt install --yes --no-install-recommends libatlas-base-dev libffi-dev libhdf5-serial-dev libsm6 libssl-dev && apt install --yes --no-install-recommends cifs-utils nfs-common zstd && add-apt-repository ppa:deadsnakes/ppa && apt install --yes --no-install-recommends python3.7-dev python3.7-venv python3.7-distutils python3.8-dev python3.8-venv python3.8-distutils python3.9-dev python3.9-venv python3.9-distutils python3.10-dev python3.10-venv python3.10-distutils python3.11-dev python3.11-venv python3.11-distutils && apt-get autoremove -y && apt-get clean && rm -rf /var/lib/apt/lists/* && echo "en_US.UTF-8 UTF-8" > /etc/locale.gen # buildkit
# 2024-02-27 08:00:58 0.00B 设置工作目录为/
WORKDIR /
# 2024-02-27 08:00:58 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10
# 2024-02-27 08:00:58 0.00B 设置环境变量 UV_CACHE_DIR
ENV UV_CACHE_DIR=/runpod-volume/.cache/uv/
# 2024-02-27 08:00:58 0.00B 设置环境变量 PIP_CACHE_DIR
ENV PIP_CACHE_DIR=/runpod-volume/.cache/pip/
# 2024-02-27 08:00:58 0.00B 设置环境变量 VIRTUALENV_OVERRIDE_APP_DATA
ENV VIRTUALENV_OVERRIDE_APP_DATA=/runpod-volume/.cache/virtualenv/
# 2024-02-27 08:00:58 0.00B 设置环境变量 HF_HUB_ENABLE_HF_TRANSFER
ENV HF_HUB_ENABLE_HF_TRANSFER=1
# 2024-02-27 08:00:58 0.00B 设置环境变量 HUGGINGFACE_ASSETS_CACHE
ENV HUGGINGFACE_ASSETS_CACHE=/runpod-volume/.cache/huggingface/assets/
# 2024-02-27 08:00:58 0.00B 设置环境变量 HUGGINGFACE_HUB_CACHE
ENV HUGGINGFACE_HUB_CACHE=/runpod-volume/.cache/huggingface/hub/
# 2024-02-27 08:00:58 0.00B 设置环境变量 DEFAULT_HF_MODULES_CACHE
ENV DEFAULT_HF_MODULES_CACHE=/runpod-volume/.cache/huggingface/modules/
# 2024-02-27 08:00:58 0.00B 设置环境变量 DEFAULT_HF_METRICS_CACHE
ENV DEFAULT_HF_METRICS_CACHE=/runpod-volume/.cache/huggingface/metrics/
# 2024-02-27 08:00:58 0.00B 设置环境变量 HF_DATASETS_CACHE
ENV HF_DATASETS_CACHE=/runpod-volume/.cache/huggingface/datasets/
# 2024-02-27 08:00:58 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/runpod-volume/.cache/huggingface/
# 2024-02-27 08:00:58 0.00B 设置环境变量 BASE_RELEASE_VERSION
ENV BASE_RELEASE_VERSION=0.6.2
# 2024-02-27 08:00:58 0.00B 定义构建参数
ARG BASE_RELEASE_VERSION
# 2024-02-27 08:00:58 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2024-02-27 08:00:58 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=True
# 2024-02-27 08:00:58 0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
# 2024-02-27 08:00:58 0.00B
SHELL [/bin/bash -o pipefail -c]
# 2023-11-10 13:12:51 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 13:12:51 384.61KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 13:12:51 4.61GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-2=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-2=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:12:51 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:12:51 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.60-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.60-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.0-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.0-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.1.16-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.1.16-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.1.1.14-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.1.1.14-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.1.53-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.81-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.2.53-1
# 2023-11-10 13:12:51 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.0-1
# 2023-11-10 13:02:13 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:02:13 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:02:13 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:02:13 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 13:02:13 260.01KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} # buildkit
# 2023-11-10 13:02:13 1.73GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-2=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-2=${NV_NVTX_VERSION} libcusparse-12-2=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:02:13 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:02:13 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.1.16-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.1.16-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.1.53-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.1.1.14-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.1.14-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.53-1
# 2023-11-10 13:02:13 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.0-1
# 2023-11-10 12:56:33 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 12:56:33 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 12:56:33 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 12:56:33 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 12:56:33 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-11-10 12:56:33 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2023-11-10 12:56:33 150.50MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 12:56:21 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.0
# 2023-11-10 12:56:21 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 12:56:21 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 12:56:21 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 12:56:21 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
# 2023-11-10 12:56:21 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.53-1
# 2023-11-10 12:56:21 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>=12.2 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 12:56:21 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": "sha256:9f942adfb961aad44c27e0b0ca51c9cec65d59221eb3aef83877839f1cd24373",
"RepoTags": [
"anetaco/marker:v6",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker:v6"
],
"RepoDigests": [
"anetaco/marker@sha256:2e94dab4afe906bf29eced4700d73202f04b3a0e475795de1f4cfe96509156d3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anetaco/marker@sha256:477674639f922fa0a76aa0c810d167bef391c8b9b8caedd8be33790df57aee93"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-07-16T01:42:04.149754956Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/home/linuxbrew/.linuxbrew/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=12.2 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=12.2.53-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
"CUDA_VERSION=12.2.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.2.0-1",
"NV_NVTX_VERSION=12.2.53-1",
"NV_LIBNPP_VERSION=12.1.1.14-1",
"NV_LIBNPP_PACKAGE=libnpp-12-2=12.1.1.14-1",
"NV_LIBCUSPARSE_VERSION=12.1.1.53-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
"NV_LIBCUBLAS_VERSION=12.2.1.16-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.1.16-1",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=12.2.53-1",
"NV_NVML_DEV_VERSION=12.2.81-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.1.1.53-1",
"NV_LIBNPP_DEV_VERSION=12.1.1.14-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.1.1.14-1",
"NV_LIBCUBLAS_DEV_VERSION=12.2.1.16-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.1.16-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.0-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.0-1",
"NV_NVPROF_VERSION=12.2.60-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.60-1",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"SHELL=/bin/bash",
"PYTHONUNBUFFERED=True",
"DEBIAN_FRONTEND=noninteractive",
"BASE_RELEASE_VERSION=0.6.2",
"HF_HOME=/runpod-volume/.cache/huggingface/",
"HF_DATASETS_CACHE=/runpod-volume/.cache/huggingface/datasets/",
"DEFAULT_HF_METRICS_CACHE=/runpod-volume/.cache/huggingface/metrics/",
"DEFAULT_HF_MODULES_CACHE=/runpod-volume/.cache/huggingface/modules/",
"HUGGINGFACE_HUB_CACHE=/runpod-volume/.cache/huggingface/hub/",
"HUGGINGFACE_ASSETS_CACHE=/runpod-volume/.cache/huggingface/assets/",
"HF_HUB_ENABLE_HF_TRANSFER=1",
"VIRTUALENV_OVERRIDE_APP_DATA=/runpod-volume/.cache/virtualenv/",
"PIP_CACHE_DIR=/runpod-volume/.cache/pip/",
"UV_CACHE_DIR=/runpod-volume/.cache/uv/",
"PYTHON_VERSION=3.11",
"RECOGNITION_STATIC_CACHE=1",
"TORCHINDUCTOR_FX_GRAPH_CACHE=1",
"USE_PYTORCH_KERNEL_CACHE=1",
"TORCHINDUCTOR_CACHE_DIR=/runpod-volume/torchinductor-cache",
"PYTORCH_KERNEL_CACHE_PATH=/runpod-volume/pytorch-kernel-cache",
"TORCH_HOME=/runpod-volume/torch"
],
"Cmd": [
"/bin/bash",
"-o",
"pipefail",
"-c",
"python${PYTHON_VERSION} -u /handler.py"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/",
"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": 18737427278,
"GraphDriver": {
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"Metadata": {
"LastTagTime": "2024-09-07T16:55:44.785465024+08:00"
}
}
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