镜像构建历史
# 2025-07-23 16:22:45 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/bin/supervisord" "-c" "/etc/supervisor/conf.d/supervisord.conf"]
# 2025-07-23 16:22:45 0.00B 声明容器运行时监听的端口
EXPOSE map[8000/tcp:{}]
# 2025-07-23 16:22:45 0.00B 设置工作目录为/workspace/
WORKDIR /workspace/
# 2025-07-23 16:22:45 220.43MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install https://git-devops.opencsg.com/opensource/gradio/-/raw/main/gradio-5.31.0-py3-none-any.whl --force-reinstall --no-deps # buildkit
# 2025-07-23 16:22:24 335.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /var/log/supervisord && chmod +x /etc/csghub/*.sh && mkdir -p /root/.jupyter/lab/user-settings/@jupyterlab/apputils-extension && echo '{"theme":"JupyterLab Dark"}' > /root/.jupyter/lab/user-settings/@jupyterlab/apputils-extension/themes.jupyterlab-settings && mkdir -p /root/.jupyter/lab/user-settings/@jupyterlab/notebook-extension && echo '{"codeCellConfig":{"lineNumbers":true }}' > /root/.jupyter/lab/user-settings/@jupyterlab/notebook-extension/tracker.jupyterlab-settings # buildkit
# 2025-07-23 16:22:23 44.56KB 复制新文件或目录到容器中
COPY llama-factory/ /etc/csghub/ # buildkit
# 2025-07-23 16:22:23 1.34KB 复制新文件或目录到容器中
COPY llama-factory/jupyter_notebook_config.py /root/.jupyter/jupyter_notebook_config.py # buildkit
# 2025-07-23 16:22:23 706.00B 复制新文件或目录到容器中
COPY llama-factory/supervisord.conf /etc/supervisor/conf.d/supervisord.conf # buildkit
# 2025-07-23 16:22:23 1.16GB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone --depth 1 https://gitee.com/xzgan/LLaMA-Factory.git --branch v0.9.3 --single-branch && cd LLaMA-Factory && pip install --no-cache-dir -e ".[metrics,deepspeed]" # buildkit
# 2025-07-23 16:15:43 0.00B 设置工作目录为/etc/csghub
WORKDIR /etc/csghub
# 2025-07-23 16:15:42 5.61GB 执行命令并创建新的镜像层
RUN /bin/sh -c ln -sf /usr/bin/python3 /usr/bin/python && pip config set global.index-url https://mirrors.aliyun.com/pypi/simple && pip install --no-cache-dir jupyterlab numpy==1.26.4 torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 jupyter-server-proxy==4.4.0 fastapi==0.112.2 gradio-client==1.10.1 pydantic==2.10.6 # buildkit
# 2025-07-23 15:29:55 1.64MB 执行命令并创建新的镜像层
RUN /bin/sh -c ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone && dpkg-reconfigure -f noninteractive tzdata # buildkit
# 2025-07-23 15:29:55 127.72MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends python3-pip apt-utils wget curl vim git git-lfs supervisor unzip tzdata && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-07-23 15:29:55 0.00B 设置环境变量 SHELL JUPYTERHUB_SERVICE_PREFIX GRADIO_ROOT_PATH TZ NCCL_IB_DISABLE NCCL_P2P_DISABLE HF_HOME DEBIAN_FRONTEND
ENV SHELL=/bin/bash JUPYTERHUB_SERVICE_PREFIX=/proxy/ GRADIO_ROOT_PATH=/proxy/7860/ TZ=Asia/Shanghai NCCL_IB_DISABLE=1 NCCL_P2P_DISABLE=1 HF_HOME=/workspace/.cache DEBIAN_FRONTEND=noninteractive
# 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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"RepoTags": [
"opencsghq/llama-factory:0.9.3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/opencsghq/llama-factory:0.9.3"
],
"RepoDigests": [
"opencsghq/llama-factory@sha256:d782730656d04ef72b586892265106b16fba217f3bd7c592eca1794b39a497d5",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/opencsghq/llama-factory@sha256:43150a5c22aec6927020588d6eefbc45128cf0f508321b04acddd26b63127878"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-07-23T08:22:45.607853315Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"8000/tcp": {}
},
"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",
"SHELL=/bin/bash",
"JUPYTERHUB_SERVICE_PREFIX=/proxy/",
"GRADIO_ROOT_PATH=/proxy/7860/",
"TZ=Asia/Shanghai",
"NCCL_IB_DISABLE=1",
"NCCL_P2P_DISABLE=1",
"HF_HOME=/workspace/.cache",
"DEBIAN_FRONTEND=noninteractive"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/workspace/",
"Entrypoint": [
"/usr/bin/supervisord",
"-c",
"/etc/supervisor/conf.d/supervisord.conf"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 14150646683,
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