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docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512 linux/amd64

docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512 - 国内下载镜像源 浏览次数:6

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

该Docker镜像集成了VSGAN超分辨率模型与TensorRT推理优化引擎,用于加速超分辨率任务的推理过程,支持高效的图像放大处理。

源镜像 docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512
镜像ID sha256:c55e6ec3c3a3dd8c6a4d0e3db48562957ca142fc8a14b341db28b30e05c1efce
镜像TAG latest_no_avx512
大小 17.20GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace/tensorrt
OS/平台 linux/amd64
浏览量 6 次
贡献者
镜像创建 2025-10-31T00:45:37.483240334+01:00
同步时间 2026-04-21 01:46
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>=13.0 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576 NV_CUDA_CUDART_VERSION=13.0.88-1 CUDA_VERSION=13.0.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=all NV_CUDA_LIB_VERSION=13.0.1-1 NV_NVTX_VERSION=13.0.85-1 NV_LIBNPP_VERSION=13.0.1.2-1 NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1 NV_LIBCUSPARSE_VERSION=12.6.3.3-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0 NV_LIBCUBLAS_VERSION=13.0.2.14-1 NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1 NCCL_VERSION=2.28.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0 NVIDIA_PRODUCT_NAME=CUDA CUDA_MODULE_LOADING=LAZY
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512  docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512  docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512

Shell快速替换命令

sed -i 's#styler00dollar/vsgan_tensorrt:latest_no_avx512#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512#' 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/styler00dollar/vsgan_tensorrt:latest_no_avx512 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512  docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512  docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512'

镜像构建历史


# 2025-10-31 07:45:37  0.00B 设置工作目录为/workspace/tensorrt
WORKDIR /workspace/tensorrt
                        
# 2025-10-31 07:45:37  0.00B 设置环境变量 CUDA_MODULE_LOADING
ENV CUDA_MODULE_LOADING=LAZY
                        
# 2025-10-31 07:45:37  29.79KB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c ldconfig # buildkit
                        
# 2025-10-31 07:45:37  1.47KB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c sed -i 's/if sys.platform.startswith("linux")/if False/g' /usr/local/lib/python3.12/site-packages/torch_tensorrt/_utils.py # buildkit
                        
# 2025-10-31 07:45:37  33.12MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c dpkg --force-all -i *.deb  && rm -rf *deb # buildkit
                        
# 2025-10-31 07:45:36  7.45MB 复制新文件或目录到容器中
COPY /workspace/hotfix/* /workspace # buildkit
                        
# 2025-10-31 07:45:36  4.15MB 复制新文件或目录到容器中
COPY /usr/local/cuda-13.0/targets/x86_64-linux/lib/libcupti.so /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:36  82.22MB 复制新文件或目录到容器中
COPY /usr/lib/x86_64-linux-gnu/libopenblas.so* /usr/lib/x86_64-linux-gnu/libgfortran.so* /usr/lib/x86_64-linux-gnu/libquadmath.so* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:35  1.83MB 复制新文件或目录到容器中
COPY /usr/local/tensorrt/bin/trtexec /usr/bin # buildkit
                        
# 2025-10-31 07:45:35  67.44MB 复制新文件或目录到容器中
COPY /usr/lib/libstdc++.so* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:35  113.08MB 复制新文件或目录到容器中
COPY /usr/lib/x86_64-linux-gnu/libxcb*.so* /usr/lib/x86_64-linux-gnu/libgomp*.so* /usr/lib/x86_64-linux-gnu/libfontconfig.so* /usr/lib/x86_64-linux-gnu/libfreetype.so* /usr/lib/x86_64-linux-gnu/libfribidi.so* /usr/lib/x86_64-linux-gnu/libharfbuzz.so* /usr/lib/x86_64-linux-gnu/libsoxr.so* /usr/lib/x86_64-linux-gnu/libXau.so* /usr/lib/x86_64-linux-gnu/libXdmcp.so* /usr/lib/x86_64-linux-gnu/libexpat.so* /usr/lib/x86_64-linux-gnu/libpng16.so* /usr/lib/x86_64-linux-gnu/libbrotlidec.so* /usr/lib/x86_64-linux-gnu/libglib-2.0.so* /usr/lib/x86_64-linux-gnu/libgraphite2.so* /usr/lib/x86_64-linux-gnu/libicuuc.so* /usr/lib/x86_64-linux-gnu/libbsd.so* /usr/lib/x86_64-linux-gnu/libbrotlicommon.so* /usr/lib/x86_64-linux-gnu/libicudata.so* /usr/lib/x86_64-linux-gnu/libicudata.so* /usr/lib/x86_64-linux-gnu/libmd.so* /usr/lib/x86_64-linux-gnu/libdrm.so* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:35  3.19GB 复制新文件或目录到容器中
COPY /usr/local/tensorrt/lib/libnvinfer.so* /usr/local/tensorrt/lib/libnvinfer_builder_resource.so* /usr/local/tensorrt/lib/libnvonnxparser.so* /usr/local/tensorrt/lib/libnvparsers.so.8* /usr/local/tensorrt/lib/libnvinfer_plugin.so.8* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:35  153.04MB 复制新文件或目录到容器中
COPY /usr/local/tensorrt/lib/libnvinfer_plugin.so* /usr/local/tensorrt/lib/libnvinfer_vc_plugin.so* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:35  0.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c rm -rf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1   /usr/lib/x86_64-linux-gnu/libnvcuvid.so.1 /usr/lib/x86_64-linux-gnu/libnvidia* /usr/lib/x86_64-linux-gnu/libcuda* # buildkit
                        
# 2025-10-31 07:45:35  66.54MB 复制新文件或目录到容器中
COPY /home/makepkg/FFmpeg/ffmpeg /usr/local/bin/ffmpeg # buildkit
                        
# 2025-10-31 07:45:34  8.39MB 复制新文件或目录到容器中
COPY /usr/local/bin/SvtAv1EncApp /usr/local/bin/ # buildkit
                        
# 2025-10-31 07:45:34  5.92MB 复制新文件或目录到容器中
COPY /usr/local/lib/x86_64-linux-gnu/vapoursynth/libvfrtocfr.so /usr/local/lib/x86_64-linux-gnu/libvmaf.so /usr/local/lib/x86_64-linux-gnu/vapoursynth/libvfrtocfr.so /usr/local/lib/x86_64-linux-gnu/libvmaf.so /usr/local/lib/x86_64-linux-gnu/libawarpsharp2.so /usr/local/lib/x86_64-linux-gnu/libmvtools.so /usr/local/lib/x86_64-linux-gnu/libfillborders.so /usr/local/lib/x86_64-linux-gnu/libmotionmask.so /usr/local/lib/x86_64-linux-gnu/libtemporalmedian.so /usr/local/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:34  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib/vapoursynth/libvmaf.so /usr/local/lib/vapoursynth/libdescale.so /usr/local/lib/vapoursynth/libakarin.so /usr/local/lib/vapoursynth/libmiscfilters.so /usr/local/lib/vapoursynth/libcas.so /usr/local/lib/vapoursynth/libremovegrain.so /usr/local/lib/vapoursynth/libretinex.so /usr/local/lib/vapoursynth/libtcanny.so /usr/local/lib/vapoursynth/ # buildkit
                        
# 2025-10-31 07:45:34  67.05MB 复制新文件或目录到容器中
COPY /usr/local/lib/libffms2.so* /usr/local/lib/ # buildkit
                        
# 2025-10-31 07:45:34  24.55MB 复制新文件或目录到容器中
COPY /usr/local/lib/x86_64-linux-gnu/libbestsource.so* /usr/local/lib/x86_64-linux-gnu/libbestsource.so # buildkit
                        
# 2025-10-31 07:45:34  137.87KB 复制新文件或目录到容器中
COPY /usr/local/lib/vapoursynth/bestsource.so* /usr/local/lib/vapoursynth/bestsource.so # buildkit
                        
# 2025-10-31 07:45:34  21.92MB 复制新文件或目录到容器中
COPY /usr/local/lib/vapoursynth/libvslsmashsource.so* /usr/local/lib/vapoursynth/ # buildkit
                        
# 2025-10-31 07:45:34  1.25MB 复制新文件或目录到容器中
COPY /usr/local/lib/liblsmash.so* /usr/local/lib/ # buildkit
                        
# 2025-10-31 07:45:34  6.97MB 复制新文件或目录到容器中
COPY /usr/lib/x86_64-linux-gnu/libfftw3f.so* /usr/lib/x86_64-linux-gnu/ # buildkit
                        
# 2025-10-31 07:45:34  37.09MB 复制新文件或目录到容器中
COPY /usr/local/lib/libvstrt.so /usr/local/lib/libfmtconv.so /usr/local/lib/ # buildkit
                        
# 2025-10-31 07:45:34  177.90KB 复制新文件或目录到容器中
COPY /usr/local/bin/vspipe /usr/local/bin/vspipe # buildkit
                        
# 2025-10-31 07:45:34  92.43MB 复制新文件或目录到容器中
COPY /usr/local/lib/libvapoursynth-script.so* /usr/local/lib/libvapoursynth.so /usr/local/lib/ # buildkit
                        
# 2025-10-31 07:45:34  40.55KB 复制新文件或目录到容器中
COPY /usr/local/lib/x86_64-linux-gnu/vapoursynth /usr/local/lib/x86_64-linux-gnu/vapoursynth # buildkit
                        
# 2025-10-31 07:45:34  60.75MB 复制新文件或目录到容器中
COPY /usr/local/lib/vapoursynth /usr/local/lib/vapoursynth # buildkit
                        
# 2025-10-31 07:45:33  2.24MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt install ./zimg_0.0-1_amd64.deb -y && rm -rf zimg_0.0-1_amd64.deb # buildkit
                        
# 2025-10-31 07:45:33  322.73KB 复制新文件或目录到容器中
COPY /workspace/zimg/zimg_0.0-1_amd64.deb zimg_0.0-1_amd64.deb # buildkit
                        
# 2025-10-31 07:45:33  59.74MB 复制新文件或目录到容器中
COPY /workspace/Python-3.12.12/libpython3.12.so* /workspace/Python-3.12.12/libpython3.so /workspace/Python-3.12.12/libpython3.so /usr/lib # buildkit
                        
# 2025-10-31 07:45:33  10.53GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2025-10-31 07:45:31  29.80MB 复制新文件或目录到容器中
COPY /usr/local/bin/python /usr/local/bin/ # buildkit
                        
# 2025-10-30 11:46:09  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-10-30 11:46:09  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=all
                        
# 2025-10-30 11:46:09  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-10-30 11:46:09  0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
                        
# 2025-09-09 00:36:59  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-09-09 00:36:59  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-09-09 00:36:59  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-09-09 00:36:59  240.06KB 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
                        
# 2025-09-09 00:36:59  2.12GB 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-13-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-0=${NV_NVTX_VERSION}     libcusparse-13-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:36:59  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:36:59  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.2.14-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.3.3-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.1.2-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.85-1
                        
# 2025-09-09 00:36:59  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.1-1
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-09-09 00:25:14  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-09-09 00:25:14  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2025-09-09 00:25:14  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
                        
# 2025-09-09 00:25:14  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2025-09-09 00:25:14  322.86MB 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-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.1
                        
# 2025-09-09 00:23:24  10.26MB 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 -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-09 00:23:24  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-09-09 00:23:24  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.88-1
                        
# 2025-09-09 00:23:24  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 brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand 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>=13.0 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2025-09-09 00:23:24  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-08-19 22:37:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-19 22:37:00  78.12MB 
/bin/sh -c #(nop) ADD file:e67907c77897d27192314f6c4fa0112b6f7dce3e127500516535cc50fe736c92 in / 
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "styler00dollar/vsgan_tensorrt:latest_no_avx512",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512"
    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-10-31T00:45:37.483240334+01:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "NVARCH=x86_64",
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            "NV_CUDA_CUDART_VERSION=13.0.88-1",
            "CUDA_VERSION=13.0.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "NV_CUDA_LIB_VERSION=13.0.1-1",
            "NV_NVTX_VERSION=13.0.85-1",
            "NV_LIBNPP_VERSION=13.0.1.2-1",
            "NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.1.2-1",
            "NV_LIBCUSPARSE_VERSION=12.6.3.3-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0",
            "NV_LIBCUBLAS_VERSION=13.0.2.14-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.2.14-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1",
            "NCCL_VERSION=2.28.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "CUDA_MODULE_LOADING=LAZY"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace/tensorrt",
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        ]
    },
    "Metadata": {
        "LastTagTime": "2026-04-21T01:21:18.660648927+08:00"
    }
}

更多版本

docker.io/styler00dollar/vsgan_tensorrt:latest_no_avx512

linux/amd64 docker.io17.20GB2026-04-21 01:46
5