docker.io/nvcr.io/nvidia/tensorrt:24.08-py3 linux/amd64

docker.io/nvcr.io/nvidia/tensorrt:24.08-py3 - 国内下载镜像源 浏览次数:92
```html

这是一个 NVIDIA 提供的 Docker 镜像,包含了 TensorRT 运行时库。TensorRT 是一个用于高性能深度学习推理的 SDK,它可以优化深度学习模型,使其在 NVIDIA GPU 上运行得更快。

```
源镜像 docker.io/nvcr.io/nvidia/tensorrt:24.08-py3
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3
镜像ID sha256:8ca90eca08ccdd046b653442817f80b7f51ac32d14ad64858f07229e8a88b65f
镜像TAG 24.08-py3
大小 9.07GB
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
OS/平台 linux/amd64
浏览量 92 次
贡献者
镜像创建 2024-08-17T06:21:20.914480487Z
同步时间 2025-03-20 00:52
更新时间 2025-03-31 09:28
环境变量
PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.22.3 CUBLAS_VERSION=12.6.0.22 CUFFT_VERSION=11.2.6.28 CURAND_VERSION=10.3.7.37 CUSPARSE_VERSION=12.5.2.23 CUSPARSELT_VERSION=0.6.2.3 CUSOLVER_VERSION=11.6.4.38 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.23 NVJPEG_VERSION=12.3.3.23 CUDNN_VERSION=9.3.0.75 CUDNN_FRONTEND_VERSION=1.5.2 TRT_VERSION=10.3.0.26+cuda12.5.1.007 TRTOSS_VERSION=24.08 NSIGHT_SYSTEMS_VERSION=2024.4.2.133 NSIGHT_COMPUTE_VERSION=2024.3.0.15 DALI_VERSION=1.40.0 DALI_BUILD=16741769 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.9 MODEL_OPT_VERSION=0.15.0 LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_PRODUCT_NAME=NVIDIA TensorRT GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs: TENSORRT_VERSION=10.3.0.26+cuda12.5.1.007 NVIDIA_TENSORRT_VERSION=24.08 TENSORRT_OSS_VERSION=master NVIDIA_BUILD_ID=106933332
镜像标签
106933332: com.nvidia.build.id f371547a75f85f4a95ae8f278a64d834776255eb: com.nvidia.build.ref 12.6.0.22: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 9.3.0.75: com.nvidia.cudnn.version 11.2.6.28: com.nvidia.cufft.version 10.3.7.37: com.nvidia.curand.version 11.6.4.38: com.nvidia.cusolver.version 12.5.2.23: com.nvidia.cusparse.version 0.6.2.3: com.nvidia.cusparselt.version 2.0.2.5: com.nvidia.cutensor.version 2.22.3: com.nvidia.nccl.version 12.3.1.23: com.nvidia.npp.version 2024.3.0.15: com.nvidia.nsightcompute.version 2024.4.2.133: com.nvidia.nsightsystems.version 12.3.3.23: com.nvidia.nvjpeg.version 10.3.0.26+cuda12.5.1.007: com.nvidia.tensorrt.version 24.08: com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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/nvcr.io/nvidia/tensorrt:24.08-py3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3  docker.io/nvcr.io/nvidia/tensorrt:24.08-py3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3  docker.io/nvcr.io/nvidia/tensorrt:24.08-py3

Shell快速替换命令

sed -i 's#nvcr.io/nvidia/tensorrt:24.08-py3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3#' 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/nvcr.io/nvidia/tensorrt:24.08-py3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3  docker.io/nvcr.io/nvidia/tensorrt:24.08-py3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3  docker.io/nvcr.io/nvidia/tensorrt:24.08-py3'

镜像构建历史


# 2024-08-17 14:21:20  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=f371547a75f85f4a95ae8f278a64d834776255eb
                        
# 2024-08-17 14:21:20  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF=f371547a75f85f4a95ae8f278a64d834776255eb
                        
# 2024-08-17 14:21:20  0.00B 添加元数据标签
LABEL com.nvidia.build.id=106933332
                        
# 2024-08-17 14:21:20  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=106933332
                        
# 2024-08-17 14:21:20  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID=106933332
                        
# 2024-08-17 14:21:20  633.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-08-17 14:21:20  41.59KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib  && echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf  && ldconfig  && rm -f ${_CUDA_COMPAT_PATH}/lib # buildkit
                        
# 2024-08-17 14:21:20  2.94KB 复制新文件或目录到容器中
COPY README.md README.md # buildkit
                        
# 2024-08-17 14:21:20  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-08-17 14:21:20  54.02KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-08-17 14:21:20  3.69MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c mkdir -p /workspace/tensorrt &&     cp -r /opt/tensorrt/bin     /workspace/tensorrt &&     cp -r /opt/tensorrt/samples /workspace/tensorrt &&     ln -s /opt/tensorrt/data    /workspace/tensorrt &&     chmod -R a+w /workspace/tensorrt/bin &&     chmod -R a+w /workspace/tensorrt/samples # buildkit
                        
# 2024-08-17 14:21:20  4.95KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd /opt/tensorrt/samples/python/introductory_parser_samples  && sed -i 's/Image\.ANTIALIAS/Image.LANCZOS/g' onnx_resnet50.py # buildkit
                        
# 2024-08-17 14:21:20  25.25KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd /opt/tensorrt/samples  && patch -p2 < /tmp/trt8.5-samples-cuda12.patch  && rm /tmp/trt8.5-samples-cuda12.patch # buildkit
                        
# 2024-08-17 14:21:20  548.00B 复制新文件或目录到容器中
COPY trt8.5-samples-cuda12.patch /tmp/ # buildkit
                        
# 2024-08-17 14:21:20  0.00B 设置环境变量 PATH
ENV PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2024-08-17 14:21:20  2.62KB 复制新文件或目录到容器中
COPY install_opensource.sh /opt/tensorrt/ # buildkit
                        
# 2024-08-17 14:21:20  449.00B 复制新文件或目录到容器中
COPY python_setup.sh /opt/tensorrt/python/python_setup.sh # buildkit
                        
# 2024-08-17 14:21:20  2.05MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c pip install --no-cache-dir   --extra-index-url https://pypi.ngc.nvidia.com   --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple   polygraphy # buildkit
                        
# 2024-08-17 14:21:19  214.60MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c URL=$(VERIFY=1 BASE=0 DEVEL=0 SAMPLES=0 PYTHON=0 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar  && FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | egrep -v "internal|safety")  && wget --quiet $URL/$FILE -O - | tar -xz  && PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))')  && pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl  && mv /usr/src/tensorrt /opt/  && mv TensorRT-*/samples /opt/tensorrt/  && mv TensorRT-*/data /opt/tensorrt/  && ln -s /opt/tensorrt /usr/src/tensorrt  && rm -r TensorRT-* # buildkit
                        
# 2024-08-17 14:20:11  0.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c rm -f /etc/dpkg/dpkg.cfg.d/excludes # buildkit
                        
# 2024-08-17 14:20:11  109.96MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c pip install --upgrade --no-cache-dir 'numpy<1.24'  && pip install --upgrade --no-cache-dir         pycuda         pillow # buildkit
                        
# 2024-08-17 14:17:55  11.56MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2024-08-17 14:17:52  19.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c MAJ=`echo "$PYVER" | cut -c1-1` &&     rm -f /usr/bin/python$MAJ && ln -s /usr/bin/python$PYVER /usr/bin/python$MAJ # buildkit
                        
# 2024-08-17 14:17:52  19.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c rm -f /usr/bin/python && ln -s /usr/bin/python$PYVER /usr/bin/python # buildkit
                        
# 2024-08-17 14:17:51  14.53MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd ${HOME} &&     git clone -b v2.2.3 https://github.com/pybind/pybind11.git # buildkit
                        
# 2024-08-17 14:17:50  52.89MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c CMAKE_VERSION=3.24 CMAKE_PATCH=0 CMAKE_DIR=cmake-${CMAKE_VERSION}.${CMAKE_PATCH} &&     cd /usr/local/src &&     wget https://cmake.org/files/v${CMAKE_VERSION}/${CMAKE_DIR}.tar.gz &&     tar -xvf ${CMAKE_DIR}.tar.gz &&     cd ${CMAKE_DIR} &&     ./bootstrap --parallel=$(nproc) &&     make -j$(nproc) install &&     cd .. &&     rm -rf ${CMAKE_DIR}* # buildkit
                        
# 2024-08-17 14:16:17  70.09MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c PYSFX=`[ "$PYVER" != "2.7" ] && echo "$PYVER" | cut -c1-1 || echo ""` &&     apt-get update &&     DEBIAN_FRONTEND="noninteractive" apt-get install -y --no-install-recommends tzdata &&     apt-get install -y --no-install-recommends         python$PYSFX         python$PYVER-dev         $DISTUTILS         python$PYSFX-pip         libssl-dev         unzip &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-17 14:16:03  0.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.08 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c if [ "$PYVER" == "3.8" ]; then DISTUTILS="python3-distutils"; fi # buildkit
                        
# 2024-08-17 14:16:03  0.00B 定义构建参数
ARG PYVER=3.10
                        
# 2024-08-17 14:16:03  0.00B 设置环境变量 TENSORRT_OSS_VERSION
ENV TENSORRT_OSS_VERSION=master
                        
# 2024-08-17 14:16:03  0.00B 定义构建参数
ARG TRTOSS_VERSION=master
                        
# 2024-08-17 14:16:03  0.00B 设置环境变量 NVIDIA_TENSORRT_VERSION
ENV NVIDIA_TENSORRT_VERSION=24.08
                        
# 2024-08-17 14:16:03  0.00B 定义构建参数
ARG NVIDIA_TENSORRT_VERSION=24.08
                        
# 2024-08-17 14:16:03  0.00B 添加元数据标签
LABEL com.nvidia.tensorrt.version=10.3.0.26+cuda12.5.1.007
                        
# 2024-08-17 14:16:03  0.00B 设置环境变量 TENSORRT_VERSION
ENV TENSORRT_VERSION=10.3.0.26+cuda12.5.1.007
                        
# 2024-08-17 14:16:03  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=NVIDIA TensorRT
                        
# 2024-08-17 13:26:56  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-08-17 13:26:56  984.03MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2024-08-17 13:20:04  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-08-17 13:20:04  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-08-17 13:20:04  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2024-08-17 13:20:04  229.15MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ldconfig # buildkit
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-08-17 13:20:04  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION
ENV GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.17.0
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG RDMACORE_VERSION=39.0
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG HPCX_VERSION=2.19
                        
# 2024-08-17 13:20:04  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.3.1-1
                        
# 2024-08-17 13:19:54  84.90MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-08-17 12:59:28  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-08-17 12:59:28  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-08-17 12:59:28  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-08-17 12:59:28  14.85KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-08-17 12:59:28  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2024-08-17 12:59:28  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2024-08-17 12:59:28  46.00B 执行命令并创建新的镜像层
RUN |24 CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.22.3 CUBLAS_VERSION=12.6.0.22 CUFFT_VERSION=11.2.6.28 CURAND_VERSION=10.3.7.37 CUSPARSE_VERSION=12.5.2.23 CUSOLVER_VERSION=11.6.4.38 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.23 NVJPEG_VERSION=12.3.3.23 CUDNN_VERSION=9.3.0.75 CUDNN_FRONTEND_VERSION=1.5.2 TRT_VERSION=10.3.0.26+cuda12.5.1.007 TRTOSS_VERSION=24.08 NSIGHT_SYSTEMS_VERSION=2024.4.2.133 NSIGHT_COMPUTE_VERSION=2024.3.0.15 CUSPARSELT_VERSION=0.6.2.3 DALI_VERSION=1.40.0 DALI_BUILD=16741769 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.9 MODEL_OPT_VERSION=0.15.0 /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
                        
# 2024-08-17 12:59:27  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-08-17 12:59:27  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.40.0 DALI_BUILD=16741769 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.9 MODEL_OPT_VERSION=0.15.0
                        
# 2024-08-17 12:59:27  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.15.0
                        
# 2024-08-17 12:59:27  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=1.9
                        
# 2024-08-17 12:59:27  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.13
                        
# 2024-08-17 12:59:27  0.00B 定义构建参数
ARG DALI_BUILD=16741769
                        
# 2024-08-17 12:59:27  0.00B 定义构建参数
ARG DALI_VERSION=1.40.0
                        
# 2024-08-17 12:59:27  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.22.3 com.nvidia.cublas.version=12.6.0.22 com.nvidia.cufft.version=11.2.6.28 com.nvidia.curand.version=10.3.7.37 com.nvidia.cusparse.version=12.5.2.23 com.nvidia.cusparselt.version=0.6.2.3 com.nvidia.cusolver.version=11.6.4.38 com.nvidia.cutensor.version=2.0.2.5 com.nvidia.npp.version=12.3.1.23 com.nvidia.nvjpeg.version=12.3.3.23 com.nvidia.cudnn.version=9.3.0.75 com.nvidia.tensorrt.version=10.3.0.26+cuda12.5.1.007 com.nvidia.tensorrtoss.version=24.08 com.nvidia.nsightsystems.version=2024.4.2.133 com.nvidia.nsightcompute.version=2024.3.0.15
                        
# 2024-08-17 12:59:27  6.43GB 执行命令并创建新的镜像层
RUN |19 CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.22.3 CUBLAS_VERSION=12.6.0.22 CUFFT_VERSION=11.2.6.28 CURAND_VERSION=10.3.7.37 CUSPARSE_VERSION=12.5.2.23 CUSOLVER_VERSION=11.6.4.38 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.23 NVJPEG_VERSION=12.3.3.23 CUDNN_VERSION=9.3.0.75 CUDNN_FRONTEND_VERSION=1.5.2 TRT_VERSION=10.3.0.26+cuda12.5.1.007 TRTOSS_VERSION=24.08 NSIGHT_SYSTEMS_VERSION=2024.4.2.133 NSIGHT_COMPUTE_VERSION=2024.3.0.15 CUSPARSELT_VERSION=0.6.2.3 /bin/sh -c /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2024-08-17 12:54:52  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.22.3 CUBLAS_VERSION=12.6.0.22 CUFFT_VERSION=11.2.6.28 CURAND_VERSION=10.3.7.37 CUSPARSE_VERSION=12.5.2.23 CUSPARSELT_VERSION=0.6.2.3 CUSOLVER_VERSION=11.6.4.38 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.23 NVJPEG_VERSION=12.3.3.23 CUDNN_VERSION=9.3.0.75 CUDNN_FRONTEND_VERSION=1.5.2 TRT_VERSION=10.3.0.26+cuda12.5.1.007 TRTOSS_VERSION=24.08 NSIGHT_SYSTEMS_VERSION=2024.4.2.133 NSIGHT_COMPUTE_VERSION=2024.3.0.15
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.6.2.3
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2024.3.0.15
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2024.4.2.133
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG TRTOSS_VERSION=24.08
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG TRT_VERSION=10.3.0.26+cuda12.5.1.007
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.5.2
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUDNN_VERSION=9.3.0.75
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.3.3.23
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG NPP_VERSION=12.3.1.23
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUTENSOR_VERSION=2.0.2.5
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.6.4.38
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.2.23
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.7.37
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUFFT_VERSION=11.2.6.28
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.6.0.22
                        
# 2024-08-17 12:54:52  0.00B 定义构建参数
ARG NCCL_VERSION=2.22.3
                        
# 2024-08-17 12:54:52  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-08-17 12:54:52  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2024-08-17 12:54:52  58.91KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-08-17 12:54:52  459.75MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-08-17 12:54:33  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2024-08-17 12:54:33  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.6.0.022 CUDA_DRIVER_VERSION=560.35.03 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-08-17 12:54:33  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2024-08-17 12:54:33  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=560.35.03
                        
# 2024-08-17 12:54:33  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.0.022
                        
# 2024-08-17 12:54:33  324.29MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses5         libncursesw5         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4 # buildkit
                        
# 2024-08-13 17:27:24  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-08-13 17:27:24  77.86MB 
/bin/sh -c #(nop) ADD file:2f8a54a5efd080fb81efea702b4e3e07d946eec7563fb2281bd28950c10ec462 in / 
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-08-13 17:27:22  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "nvcr.io/nvidia/tensorrt:24.08-py3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt:24.08-py3"
    ],
    "RepoDigests": [
        "nvcr.io/nvidia/tensorrt@sha256:9507e5f248fc61a5b2c985ce6e386ecf2576c3d96112ceb38cf88b240d4ca072",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/tensorrt@sha256:580550d87dbdf23772a2aa2ad294789e99a4d166d988d345364da07f0abe0ebb"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-08-17T06:21:20.914480487Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin",
            "CUDA_VERSION=12.6.0.022",
            "CUDA_DRIVER_VERSION=560.35.03",
            "CUDA_CACHE_DISABLE=1",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.22.3",
            "CUBLAS_VERSION=12.6.0.22",
            "CUFFT_VERSION=11.2.6.28",
            "CURAND_VERSION=10.3.7.37",
            "CUSPARSE_VERSION=12.5.2.23",
            "CUSPARSELT_VERSION=0.6.2.3",
            "CUSOLVER_VERSION=11.6.4.38",
            "CUTENSOR_VERSION=2.0.2.5",
            "NPP_VERSION=12.3.1.23",
            "NVJPEG_VERSION=12.3.3.23",
            "CUDNN_VERSION=9.3.0.75",
            "CUDNN_FRONTEND_VERSION=1.5.2",
            "TRT_VERSION=10.3.0.26+cuda12.5.1.007",
            "TRTOSS_VERSION=24.08",
            "NSIGHT_SYSTEMS_VERSION=2024.4.2.133",
            "NSIGHT_COMPUTE_VERSION=2024.3.0.15",
            "DALI_VERSION=1.40.0",
            "DALI_BUILD=16741769",
            "POLYGRAPHY_VERSION=0.49.13",
            "TRANSFORMER_ENGINE_VERSION=1.9",
            "MODEL_OPT_VERSION=0.15.0",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=NVIDIA TensorRT",
            "GDRCOPY_VERSION=2.3.1-1",
            "HPCX_VERSION=2.19",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.17.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "TENSORRT_VERSION=10.3.0.26+cuda12.5.1.007",
            "NVIDIA_TENSORRT_VERSION=24.08",
            "TENSORRT_OSS_VERSION=master",
            "NVIDIA_BUILD_ID=106933332"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.build.id": "106933332",
            "com.nvidia.build.ref": "f371547a75f85f4a95ae8f278a64d834776255eb",
            "com.nvidia.cublas.version": "12.6.0.22",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.3.0.75",
            "com.nvidia.cufft.version": "11.2.6.28",
            "com.nvidia.curand.version": "10.3.7.37",
            "com.nvidia.cusolver.version": "11.6.4.38",
            "com.nvidia.cusparse.version": "12.5.2.23",
            "com.nvidia.cusparselt.version": "0.6.2.3",
            "com.nvidia.cutensor.version": "2.0.2.5",
            "com.nvidia.nccl.version": "2.22.3",
            "com.nvidia.npp.version": "12.3.1.23",
            "com.nvidia.nsightcompute.version": "2024.3.0.15",
            "com.nvidia.nsightsystems.version": "2024.4.2.133",
            "com.nvidia.nvjpeg.version": "12.3.3.23",
            "com.nvidia.tensorrt.version": "10.3.0.26+cuda12.5.1.007",
            "com.nvidia.tensorrtoss.version": "24.08",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 9069193993,
    "GraphDriver": {
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            "MergedDir": "/var/lib/docker/overlay2/8ac5069c542c55ec357bd79b4b9e716df8b6c611584d71ea6f05330fe36e9833/merged",
            "UpperDir": "/var/lib/docker/overlay2/8ac5069c542c55ec357bd79b4b9e716df8b6c611584d71ea6f05330fe36e9833/diff",
            "WorkDir": "/var/lib/docker/overlay2/8ac5069c542c55ec357bd79b4b9e716df8b6c611584d71ea6f05330fe36e9833/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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    "Metadata": {
        "LastTagTime": "2025-03-20T00:40:49.104858835+08:00"
    }
}

更多版本

docker.io/nvcr.io/nvidia/tensorrt:24.08-py3

linux/amd64 docker.io9.07GB2025-03-20 00:52
91