镜像构建历史
# 2025-03-21 16:44:08 0.00B 设置默认要执行的命令
CMD ["bash"]
# 2025-03-21 16:44:08 0.00B 设置环境变量 PATH
ENV PATH=/opt/java/openjdk/bin:/usr/lib/jellyfin-ffmpeg:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-03-21 16:44:08 238.53MB 复制新文件或目录到容器中
COPY target/lib /usr/local/clouddisk-lib # buildkit
# 2025-03-21 16:44:08 2.47MB 复制新文件或目录到容器中
COPY tess4j/datapath/chi_sim.traineddata /jmalcloud/tess4j/datapath/ # buildkit
# 2025-03-21 16:44:08 11.07MB 复制新文件或目录到容器中
COPY docker/ip2region.xdb /jmalcloud/ # buildkit
# 2025-03-21 16:44:08 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /jmalcloud/files /jmalcloud/tess4j/datapath # buildkit
# 2025-03-21 16:44:07 33.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime # buildkit
# 2025-03-21 16:44:07 140.25MB 复制新文件或目录到容器中
COPY /opt/java/openjdk /opt/java/openjdk # buildkit
# 2025-03-21 16:44:07 0.00B 设置环境变量 LANG LANGUAGE LC_ALL LD_LIBRARY_PATH NVIDIA_DRIVER_CAPABILITIES NVIDIA_VISIBLE_DEVICES
ENV LANG=en_US.UTF-8 LANGUAGE=en_US:en LC_ALL=en_US.UTF-8 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_VISIBLE_DEVICES=all
# 2025-03-21 16:44:07 0.00B 设置环境变量 PATH
ENV PATH=/usr/lib/jellyfin-ffmpeg:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-03-21 16:44:07 615.23MB 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 wget unzip locales tesseract-ocr p7zip-full unrar libheif-examples && locale-gen en_US.UTF-8 && update-locale LANG=en_US.UTF-8 && ARCH=$(dpkg --print-architecture) && wget https://repo.jellyfin.org/files/ffmpeg/ubuntu/latest-5.x/${ARCH}/jellyfin-ffmpeg5_5.1.4-3-jammy_${ARCH}.deb && dpkg -i jellyfin-ffmpeg5_5.1.4-3-jammy_${ARCH}.deb || apt-get install -fy && unzip -o /jmalcloud/mxcad_x86_64.zip -d /usr/local/ && mv /usr/local/x86_64/ /usr/local/mxcad && chmod -R 777 /usr/local/mxcad/mxcadassembly && chmod -R 777 /usr/local/mxcad/mx/so/* && cp -r -f /usr/local/mxcad/mx/locale /usr/local/share/locale && wget https://github.com/jamebal/OcrLiteOnnx/releases/download/v.1.8.2/ubuntu-22.04-${ARCH}-bin.7z && wget https://github.com/jamebal/OcrLiteOnnx/releases/download/v.1.8.2/models.7z && 7z x models.7z -o/jmalcloud/ && 7z x ubuntu-22.04-${ARCH}-bin.7z -o/usr/local/ && mv /usr/local/ubuntu-22.04-${ARCH}-bin/Linux-BIN/OcrLiteOnnx /usr/local/bin/OcrLiteOnnx && apt-get remove -y wget unzip && apt-get clean && rm -f jellyfin-ffmpeg5_5.1.4-3-jammy_${ARCH}.deb && rm -rf /var/lib/apt/lists/* && rm -f /jmalcloud/mxcad_x86_64.zip && rm -rf /usr/local/ubuntu-22.04-${ARCH}-bin && rm -f ubuntu-22.04-${ARCH}-bin.7z && rm -f models.7z && rm -rf /usr/local/__MACOSX # buildkit
# 2025-03-21 16:43:42 51.19MB 复制新文件或目录到容器中
COPY docker/mxcad_x86_64.zip /jmalcloud/ # buildkit
# 2025-03-21 16:43:42 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2023-11-10 15:04:25 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 15:04:25 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 15:04:25 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 15:04:25 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 15:04:25 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 15:04:25 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 15:04:25 119.67MB 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-11-7=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 15:04:11 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
# 2023-11-10 15:04:11 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 15:04:11 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 15:04:11 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 15:04:11 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
# 2023-11-10 15:04:11 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
# 2023-11-10 15:04:11 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 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
# 2023-11-10 15:04:11 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:b17d80cb935374e3fa0d04cf68d1552e66f7c248a3c3c9df8e6990f412594bac",
"RepoTags": [
"ghcr.io/jamebal/jdk17_ffmpeg_nvidia:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/jamebal/jdk17_ffmpeg_nvidia:latest"
],
"RepoDigests": [
"ghcr.io/jamebal/jdk17_ffmpeg_nvidia@sha256:b4b318c9f94dcf7086abd99a40b1adff0fd457e46ffd7976857a8494ffdac045",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/jamebal/jdk17_ffmpeg_nvidia@sha256:6a0e77f7fa7bef6e069c1d65c668970930faae018bf446fc9578ca5f20a53394"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-03-21T08:44:08.629671045Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/java/openjdk/bin:/usr/lib/jellyfin-ffmpeg:/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=11.7 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",
"NV_CUDA_CUDART_VERSION=11.7.99-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7",
"CUDA_VERSION=11.7.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
"DEBIAN_FRONTEND=noninteractive",
"LANG=en_US.UTF-8",
"LANGUAGE=en_US:en",
"LC_ALL=en_US.UTF-8"
],
"Cmd": [
"bash"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "",
"Entrypoint": null,
"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": 1266815668,
"GraphDriver": {
"Data": {
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"Name": "overlay2"
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"Metadata": {
"LastTagTime": "2025-04-08T19:30:53.355311586+08:00"
}
}