docker.io/nvcr.io/nvidia/pytorch:23.04-py3 linux/amd64

docker.io/nvcr.io/nvidia/pytorch:23.04-py3 - 国内下载镜像源 浏览次数:73
这里是镜像的描述信息： NVIDIA PyTorch Docker Image

这是一个基于PyTorch框架的Docker容器镜像，提供了一个完整的深度学习环境。该镜像包含了PyTorch 1.x版本，以及其他必需的依赖包，如CUDA、cuDNN等。

使用这个镜像，您可以轻松地在本地环境中搭建一个深度学习工作站，进行各种机器学习和计算机视觉任务的实验和开发。

此外，该镜像还支持GPU加速，通过NVIDIA的CUDA和cuDNN技术，可以显著提高PyTorch的性能和效率。

源镜像 docker.io/nvcr.io/nvidia/pytorch:23.04-py3
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:23.04-py3
镜像ID sha256:b4428941db4ff8324b1dc65a352d2a9c7d26bd59b2fec322fe103c74fa7eac65
镜像TAG 23.04-py3
大小 20.38GB
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 73 次
贡献者
镜像创建 2023-04-15T02:28:20.101743188Z
同步时间 2024-10-18 01:26
更新时间 2024-10-23 18:56
开放端口
6006/tcp 8888/tcp
环境变量
PATH=/usr/local/lib/python3.8/dist-packages/torch_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:/opt/tensorrt/bin CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 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=2.17.1 CUBLAS_VERSION=12.1.3.1 CUFFT_VERSION=11.0.2.4 CURAND_VERSION=10.3.2.56 CUSPARSE_VERSION=12.0.2.55 CUSOLVER_VERSION=11.4.4.55 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.0.2.50 NVJPEG_VERSION=12.1.0.39 CUDNN_VERSION=8.9.0.131 TRT_VERSION=8.6.1.2+cuda12.0.1.011 TRTOSS_VERSION=23.04 NSIGHT_SYSTEMS_VERSION=2023.1.1.127 NSIGHT_COMPUTE_VERSION=2023.1.0.15 DALI_VERSION=1.24.0 DALI_BUILD=7582307 POLYGRAPHY_VERSION=0.46.2 TRANSFORMER_ENGINE_VERSION=0.7 LD_LIBRARY_PATH=/usr/local/lib/python3.8/dist-packages/torch/lib:/usr/local/lib/python3.8/dist-packages/torch_tensorrt/lib:/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=PyTorch GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 RDMACORE_VERSION=36.0 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs: PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 PYTORCH_VERSION=2.1.0a0+fe05266 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=23.04 PYVER=3.8 SETUPTOOLS_USE_DISTUTILS=stdlib OPENBLAS_VERSION=0.3.20 PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8 PIP_DEFAULT_TIMEOUT=100 NVM_DIR=/usr/local/nvm JUPYTER_PORT=8888 TENSORBOARD_PORT=6006 TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX CUDA_HOME=/usr/local/cuda TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1 PYTORCH_HOME=/opt/pytorch/pytorch USE_EXPERIMENTAL_CUDNN_V8_API=1 COCOAPI_VERSION=2.0+nv0.7.1 TORCH_CUDNN_V8_API_ENABLED=1 CUDA_MODULE_LOADING=LAZY NVIDIA_BUILD_ID=58180998
镜像标签
58180998: com.nvidia.build.id b4202741d89962808ea318dd048d185dafe3367f: com.nvidia.build.ref 12.1.3.1: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 8.9.0.131: com.nvidia.cudnn.version 11.0.2.4: com.nvidia.cufft.version 10.3.2.56: com.nvidia.curand.version 11.4.4.55: com.nvidia.cusolver.version 12.0.2.55: com.nvidia.cusparse.version 1.7.0.1: com.nvidia.cutensor.version 2.17.1: com.nvidia.nccl.version 12.0.2.50: com.nvidia.npp.version 2023.1.0.15: com.nvidia.nsightcompute.version 2023.1.1.127: com.nvidia.nsightsystems.version 12.1.0.39: com.nvidia.nvjpeg.version 2.1.0a0+fe05266: com.nvidia.pytorch.version 8.6.1.2+cuda12.0.1.011: com.nvidia.tensorrt.version 23.04: com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 20.04: 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/pytorch:23.04-py3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:23.04-py3  docker.io/nvcr.io/nvidia/pytorch:23.04-py3

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:23.04-py3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:23.04-py3  docker.io/nvcr.io/nvidia/pytorch:23.04-py3

Shell快速替换命令 

sed -i 's#nvcr.io/nvidia/pytorch:23.04-py3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:23.04-py3#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2023-04-15 10:28:20 LABEL com.nvidia.build.ref=b4202741d89962808ea318dd048d185dafe3367f
0.00B 2023-04-15 10:28:20 ARG NVIDIA_BUILD_REF
0.00B 2023-04-15 10:28:20 LABEL com.nvidia.build.id=58180998
0.00B 2023-04-15 10:28:20 ENV NVIDIA_BUILD_ID=58180998
0.00B 2023-04-15 10:28:20 ARG NVIDIA_BUILD_ID
720.00B 2023-04-15 10:28:20 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
73.62KB 2023-04-15 10:28:19 RUN |1 PYVER=3.8 /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 ${_CUDA_COMPAT_PATH}/lib # buildkit
0.00B 2023-04-15 10:28:17 ENV CUDA_MODULE_LOADING=LAZY
0.00B 2023-04-15 10:28:17 ENV TORCH_CUDNN_V8_API_ENABLED=1
382.75MB 2023-04-15 10:28:17 RUN |1 PYVER=3.8 /bin/sh -c pip install --no-cache-dir git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION} # buildkit
0.00B 2023-04-15 10:07:16 ENV PATH=/usr/local/lib/python3.8/dist-packages/torch_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:/opt/tensorrt/bin
0.00B 2023-04-15 10:07:16 ENV LD_LIBRARY_PATH=/usr/local/lib/python3.8/dist-packages/torch/lib:/usr/local/lib/python3.8/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
59.15MB 2023-04-15 10:07:16 RUN |1 PYVER=3.8 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl # buildkit
0.00B 2023-04-15 10:00:02 ARG PYVER
135.37MB 2023-04-15 10:00:02 COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
15.02MB 2023-04-15 09:59:41 RUN /bin/sh -c pip --version && python -c 'import sys; print(sys.platform)' && pip install --no-cache-dir nvidia-pyindex && pip install --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple --no-cache-dir polygraphy==${POLYGRAPHY_VERSION} && pip install --extra-index-url http://sqrl/dldata/pip-simple --trusted-host sqrl --no-cache-dir pytorch-quantization==2.1.2 # buildkit
0.00B 2023-04-15 09:59:24 ENV PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
6.10MB 2023-04-15 09:59:24 RUN /bin/sh -c set -x && URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar && FILE=$(wget -O - $URL | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) && wget $URL/$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 && pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl && pip install TensorRT-*/uff/uff-*.whl && mv /usr/src/tensorrt /opt && ln -s /opt/tensorrt /usr/src/tensorrt && rm -r TensorRT-* && UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff && sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/' $UFF_PATH/converters/tensorflow/conversion_helpers.py && chmod +x ${UFF_PATH}/bin/convert_to_uff.py && ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff # buildkit
51.00MB 2023-04-15 09:58:07 RUN /bin/sh -c chmod -R a+w . # buildkit
34.89MB 2023-04-15 09:58:05 COPY tutorials tutorials # buildkit
15.96MB 2023-04-15 09:58:02 COPY examples examples # buildkit
1.78KB 2023-04-15 09:58:01 COPY docker-examples docker-examples # buildkit
2.06KB 2023-04-15 09:58:01 COPY NVREADME.md README.md # buildkit
0.00B 2023-04-15 09:58:00 WORKDIR /workspace
4.10GB 2023-04-15 09:58:00 RUN /bin/sh -c find /rapids -name "*-Linux.tar.gz" -exec tar -C /usr --exclude="*.a" --exclude="bin/xgboost" --strip-components=1 -xvf {} \; && find /rapids -name "*.whl" ! -name "Pillow-*" ! -name "protobuf-*" -exec pip install --no-cache-dir {} + && pip install --no-cache-dir networkx==2.6.3 && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so # buildkit
4.63MB 2023-04-15 09:55:43 RUN /bin/sh -c pip uninstall -y pillow && cd /tmp && git clone https://github.com/uploadcare/pillow-simd && cd pillow-simd && git fetch --all --tags --prune && git checkout tags/9.2.0 && sed -i 's/DEBUG = False/DEBUG = True/' setup.py && patch -p1 < /opt/pytorch/pil_9.3.0_CVE-2022-45199.patch && if [[ $TARGETARCH = "amd64" ]] ; then CC="cc -mavx" pip install --no-cache-dir --disable-pip-version-check . ; fi && if [[ $TARGETARCH = "arm64" ]] ; then pip install --no-cache-dir --disable-pip-version-check . ; fi && rm -rf ../pillow-simd # buildkit
279.01MB 2023-04-15 09:55:13 RUN /bin/sh -c ( cd vision && CFLAGS="-g0" FORCE_CUDA=1 pip install --no-cache-dir --no-build-isolation --disable-pip-version-check . ) && ( cd vision && cmake -Bbuild -H. -GNinja -DWITH_CUDA=1 -DCMAKE_PREFIX_PATH=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'` && cmake --build build --target install && rm -rf build ) && ( cd apex && CFLAGS="-g0" pip install --no-cache-dir --disable-pip-version-check --global-option="--cpp_ext" --global-option="--cuda_ext" --global-option="--bnp" --global-option="--xentropy" --global-option="--deprecated_fused_adam" --global-option="--deprecated_fused_lamb" --global-option="--fast_multihead_attn" --global-option="--distributed_lamb" --global-option="--fast_layer_norm" --global-option="--transducer" --global-option="--distributed_adam" --global-option="--fmha" --global-option="--fast_bottleneck" --global-option="--nccl_p2p" --global-option="--peer_memory" --global-option="--permutation_search" --global-option="--focal_loss" --global-option="--fused_conv_bias_relu" --global-option="--index_mul_2d" --global-option="--cudnn_gbn" . ) && ( pip install --no-cache-dir --disable-pip-version-check git+https://github.com/pytorch/text@fae8e8cabf ) && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-cache-dir --disable-pip-version-check . ) # buildkit
2.21KB 2023-04-15 08:20:27 COPY singularity/ /.singularity.d/ # buildkit
62.97MB 2023-04-15 08:20:27 RUN /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//') && pip install --disable-pip-version-check --no-cache-dir git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
0.00B 2023-04-15 08:19:55 ENV COCOAPI_VERSION=2.0+nv0.7.1
914.07MB 2023-04-15 08:19:55 RUN /bin/sh -c pip install --disable-pip-version-check --no-cache-dir --extra-index-url https://developer.download.nvidia.com/compute/redist --extra-index-url http://sqrl/dldata/pip-dali --trusted-host sqrl nvidia-dali-cuda110==${DALI_VERSION} # buildkit
203.57MB 2023-04-15 08:19:35 RUN /bin/sh -c pip install --no-cache-dir /tmp/dist/*.whl # buildkit
78.41MB 2023-04-15 08:16:06 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir -v -r /opt/pytorch/pytorch/requirements.txt # buildkit
1.44GB 2023-04-15 08:15:46 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd pytorch && BUILD_TEST=0 USE_CUPTI_SO=1 USE_KINETO=1 CMAKE_PREFIX_PATH="/usr/local" NCCL_ROOT="/usr" NCCL_INCLUDE_DIR="/usr/include/" NCCL_LIB_DIR="/usr/lib/" USE_SYSTEM_NCCL=1 CFLAGS='-fno-gnu-unique' DEFAULT_INTEL_MKL_DIR="/usr/local" INTEL_MKL_DIR="/usr/local" python setup.py install && python setup.py clean # buildkit
0.00B 2023-04-15 07:01:46 ENV USE_EXPERIMENTAL_CUDNN_V8_API=1
0.00B 2023-04-15 07:01:46 ENV PYTORCH_HOME=/opt/pytorch/pytorch
0.00B 2023-04-15 07:01:46 ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
0.00B 2023-04-15 07:01:46 ENV CUDA_HOME=/usr/local/cuda
0.00B 2023-04-15 07:01:46 ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX
262.44MB 2023-04-15 07:01:46 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd magma-cuda && cmake -H. -Bbuild -DUSE_FORTRAN=OFF -DGPU_TARGET="All" -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-fPIC" -DCMAKE_C_FLAGS="-fPIC" -DCUDA_NVCC_FLAGS="-Xfatbin;-compress-all;-DHAVE_CUBLAS;-std=c++11;--threads=0;" -GNinja && cmake --build build --target install && rm -r ./build # buildkit
51.75MB 2023-04-15 06:48:39 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c OPENCV_VERSION=4.6.0 && cd / && wget -q -O - https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - && cd /opencv-${OPENCV_VERSION} && cmake -GNinja -Bbuild -H. -DWITH_CUDA=OFF -DWITH_1394=OFF -DPYTHON3_PACKAGES_PATH="/usr/local/lib/python${PYVER}/dist-packages" -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF -DWITH_IPP=OFF -DWITH_PROTOBUF=OFF && cmake --build build --target install && cd modules/python/package && pip install --no-cache-dir --disable-pip-version-check -v . && rm -rf /opencv-${OPENCV_VERSION} # buildkit
0.00B 2023-04-15 06:43:13 EXPOSE map[6006/tcp:{}]
0.00B 2023-04-15 06:43:13 EXPOSE map[8888/tcp:{}]
0.00B 2023-04-15 06:43:13 ENV TENSORBOARD_PORT=6006
0.00B 2023-04-15 06:43:13 ENV JUPYTER_PORT=8888
427.00B 2023-04-15 06:43:13 COPY jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
161.43MB 2023-04-15 06:43:13 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --disable-pip-version-check --no-cache-dir git+https://github.com/cliffwoolley/jupyter_tensorboard.git@0.2.0+nv21.03 && mkdir -p $NVM_DIR && curl -Lo- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | bash && source "$NVM_DIR/nvm.sh" && nvm install 16.19.1 node && jupyter labextension install jupyterlab_tensorboard && jupyter serverextension enable jupyterlab && pip install --no-cache-dir jupytext && jupyter labextension install jupyterlab-jupytext@1.2.2 && ( cd /usr/local/share/jupyter/lab/staging && npm prune --production ) && npm cache clean --force && rm -rf /usr/local/share/.cache && echo "source $NVM_DIR/nvm.sh" >> /etc/bash.bashrc && mv /root/.jupyter/jupyter_notebook_config.json /usr/local/etc/jupyter/ && jupyter lab clean # buildkit
0.00B 2023-04-15 06:39:39 ENV NVM_DIR=/usr/local/nvm
27.51KB 2023-04-15 06:39:39 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c PATCHED_FILE=$(python -c "from tensorboard.plugins.core import core_plugin as _; print(_.__file__)") && sed -i 's/^\( *"--bind_all",\)$/\1 default=True,/' "$PATCHED_FILE" && test $(grep '^ *"--bind_all", default=True,$' "$PATCHED_FILE" | wc -l) -eq 1 # buildkit
170.80MB 2023-04-15 06:39:38 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c git config --global url."https://github".insteadOf git://github && pip install --no-cache-dir notebook==6.4.10 jupyterlab==2.3.2 python-hostlist && pip install --no-cache-dir tensorboard==2.9.0 # buildkit
3.12GB 2023-04-15 06:39:10 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir numpy==1.22.2 scipy==1.6.3 PyYAML>=5.4.1 astunparse typing_extensions cffi spacy mock tqdm librosa==0.9.2 expecttest==0.1.3 hypothesis==5.35.1 xdoctest==1.0.2 pytest pytest-xdist pytest-rerunfailures pytest-shard pybind11 Cython regex>=2020.1.8 protobuf==3.20.1 && if [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl==2021.1.1 mkl-include==2021.1.1 mkl-devel==2021.1.1 ; fi # buildkit
0.00B 2023-04-15 06:37:44 ENV PIP_DEFAULT_TIMEOUT=100
0.00B 2023-04-15 06:37:44 ENV LC_ALL=C.UTF-8
0.00B 2023-04-15 06:37:44 ENV PYTHONIOENCODING=utf-8
1.27GB 2023-04-15 06:37:44 COPY . . # buildkit
0.00B 2023-04-06 20:16:20 WORKDIR /opt/pytorch
46.30MB 2023-04-06 20:16:19 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c wget -q -O - https://github.com/xianyi/OpenBLAS/archive/refs/tags/v${OPENBLAS_VERSION}.tar.gz | tar -xzf - && cd OpenBLAS-${OPENBLAS_VERSION} && time make FC=gfortran USE_OPENMP=1 -j && time make PREFIX=/usr/local install && cd ../ && rm -rf OpenBLAS-${OPENBLAS_VERSION} # buildkit
0.00B 2023-04-06 23:43:14 ENV OPENBLAS_VERSION=0.3.20
0.00B 2023-04-06 23:43:14 WORKDIR /opt
70.77MB 2023-04-06 20:14:26 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir pip==21.2.4 setuptools==65.5.1 && pip install --no-cache-dir cmake==3.24.1.1 # buildkit
20.79MB 2023-04-06 20:14:15 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py && python get-pip.py && rm get-pip.py # buildkit
0.00B 2023-04-06 20:14:05 ENV SETUPTOOLS_USE_DISTUTILS=stdlib
182.10MB 2023-04-06 20:14:05 RUN |4 NVIDIA_PYTORCH_VERSION=23.04 PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c export PYSFX=`echo "$PYVER" | cut -c1-1` && export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y --no-install-recommends python$PYVER-dev python$PYSFX python$PYSFX-dev python$PYSFX-distutils python-is-python$PYSFX autoconf automake libatlas-base-dev libgoogle-glog-dev libbz2-dev libleveldb-dev liblmdb-dev libprotobuf-dev libsnappy-dev libtool nasm protobuf-compiler pkg-config unzip sox libsndfile1 libpng-dev libhdf5-103 libhdf5-dev gfortran rapidjson-dev ninja-build libedit-dev build-essential && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2023-04-06 20:14:05 ENV PYVER=3.8
0.00B 2023-04-06 20:14:05 ARG PYVER=3.8
0.00B 2023-04-06 20:14:05 ARG TARGETARCH
0.00B 2023-04-06 20:14:05 LABEL com.nvidia.pytorch.version=2.1.0a0+fe05266
0.00B 2023-04-06 20:14:05 ENV PYTORCH_BUILD_VERSION=2.1.0a0+fe05266 PYTORCH_VERSION=2.1.0a0+fe05266 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=23.04
0.00B 2023-04-06 20:14:05 ARG PYTORCH_BUILD_VERSION
0.00B 2023-04-06 20:14:05 ARG NVIDIA_PYTORCH_VERSION
0.00B 2023-04-06 20:14:05 ENV NVIDIA_PRODUCT_NAME=PyTorch
83.31MB 2023-04-06 01:40:19 RUN |9 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 TARGETARCH=amd64 HPCX_CUDA_MAJMIN=11.0 HPCX_CUDA_VERSION=11.8.0.065 /bin/sh -c if find /opt/hpcx/ -name "*so.*[0-9]" -type f -print -exec ldd {} \; | grep "not found" | sort -u | grep -q "libcudart.so.${HPCX_CUDA_MAJMIN} => not found"; then echo "hpcx version depends on CUDA ${HPCX_CUDA_MAJMIN} so installing libcudart from ${HPCX_CUDA_VERSION}" && BASE=2 /nvidia/build-scripts/installCUDA.sh ${HPCX_CUDA_VERSION}; fi # buildkit
0.00B 2023-04-06 01:40:09 ARG HPCX_CUDA_VERSION=11.8.0.065
0.00B 2023-04-06 01:40:09 ARG HPCX_CUDA_MAJMIN=11.0
0.00B 2023-04-06 01:40:09 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
1.12GB 2023-04-06 01:40:09 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0 && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUDA.sh && /nvidia/build-scripts/installLIBS.sh && /nvidia/build-scripts/installNCCL.sh && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installCUTENSOR.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi && rm -f /tmp/cuda-*.patch # buildkit
1.49KB 2023-04-06 01:34:06 COPY cuda-*.patch /tmp # buildkit
0.00B 2023-04-06 01:34:06 ENV OMPI_MCA_coll_hcoll_enable=0
0.00B 2023-04-06 01:34:06 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
241.70MB 2023-04-06 01:34:06 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 TARGETARCH=amd64 /bin/sh -c cd /nvidia && ( cd opt/rdma-core/ && dpkg -i libibverbs1_*.deb libibverbs-dev_*.deb librdmacm1_*.deb librdmacm-dev_*.deb libibumad3_*.deb libibumad-dev_*.deb ibverbs-utils_*.deb ibverbs-providers_*.deb && 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
0.00B 2023-04-06 01:34:06 ARG TARGETARCH
0.00B 2023-04-06 01:34:06 ENV GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 RDMACORE_VERSION=36.0
0.00B 2023-04-06 01:34:06 ARG OPENMPI_VERSION
0.00B 2023-04-06 01:34:06 ARG OPENUCX_VERSION
0.00B 2023-04-06 01:34:06 ARG MOFED_VERSION=5.4-rdmacore36.0
0.00B 2023-04-06 01:34:06 ARG RDMACORE_VERSION
0.00B 2023-04-06 01:34:06 ARG HPCX_VERSION
0.00B 2023-04-06 01:34:06 ARG GDRCOPY_VERSION
102.39MB 2023-04-06 01:33:54 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
148.72KB 2023-04-06 01:14:41 COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
0.00B 2023-04-06 01:14:40 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2023-04-06 01:14:40 ENV NVIDIA_PRODUCT_NAME=CUDA
14.53KB 2023-04-06 01:14:40 COPY entrypoint/ /opt/nvidia/ # buildkit
0.00B 2023-04-06 01:14:40 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
0.00B 2023-04-06 01:14:40 ARG _LIBPATH_SUFFIX
46.00B 2023-04-06 01:14:40 RUN |21 CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.17.1 CUBLAS_VERSION=12.1.3.1 CUFFT_VERSION=11.0.2.4 CURAND_VERSION=10.3.2.56 CUSPARSE_VERSION=12.0.2.55 CUSOLVER_VERSION=11.4.4.55 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.0.2.50 NVJPEG_VERSION=12.1.0.39 CUDNN_VERSION=8.9.0.131 TRT_VERSION=8.6.1.2+cuda12.0.1.011 TRTOSS_VERSION=23.04 NSIGHT_SYSTEMS_VERSION=2023.1.1.127 NSIGHT_COMPUTE_VERSION=2023.1.0.15 DALI_VERSION=1.24.0 DALI_BUILD=7582307 POLYGRAPHY_VERSION=0.46.2 TRANSFORMER_ENGINE_VERSION=0.7 /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
13.39KB 2023-04-06 01:14:40 ADD docs.tgz / # buildkit
0.00B 2023-04-06 01:14:40 ENV DALI_VERSION=1.24.0 DALI_BUILD=7582307 POLYGRAPHY_VERSION=0.46.2 TRANSFORMER_ENGINE_VERSION=0.7
0.00B 2023-04-06 01:14:40 ARG TRANSFORMER_ENGINE_VERSION
0.00B 2023-04-06 01:14:40 ARG POLYGRAPHY_VERSION
0.00B 2023-04-06 01:14:40 ARG DALI_BUILD
0.00B 2023-04-06 01:14:40 ARG DALI_VERSION
0.00B 2023-04-06 01:14:40 LABEL com.nvidia.nccl.version=2.17.1 com.nvidia.cublas.version=12.1.3.1 com.nvidia.cufft.version=11.0.2.4 com.nvidia.curand.version=10.3.2.56 com.nvidia.cusparse.version=12.0.2.55 com.nvidia.cusolver.version=11.4.4.55 com.nvidia.cutensor.version=1.7.0.1 com.nvidia.npp.version=12.0.2.50 com.nvidia.nvjpeg.version=12.1.0.39 com.nvidia.cudnn.version=8.9.0.131 com.nvidia.tensorrt.version=8.6.1.2+cuda12.0.1.011 com.nvidia.tensorrtoss.version=23.04 com.nvidia.nsightsystems.version=2023.1.1.127 com.nvidia.nsightcompute.version=2023.1.0.15
4.93GB 2023-04-06 01:14:40 RUN |17 CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.17.1 CUBLAS_VERSION=12.1.3.1 CUFFT_VERSION=11.0.2.4 CURAND_VERSION=10.3.2.56 CUSPARSE_VERSION=12.0.2.55 CUSOLVER_VERSION=11.4.4.55 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.0.2.50 NVJPEG_VERSION=12.1.0.39 CUDNN_VERSION=8.9.0.131 TRT_VERSION=8.6.1.2+cuda12.0.1.011 TRTOSS_VERSION=23.04 NSIGHT_SYSTEMS_VERSION=2023.1.1.127 NSIGHT_COMPUTE_VERSION=2023.1.0.15 /bin/sh -c /nvidia/build-scripts/installNCCL.sh && /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 # buildkit
0.00B 2023-04-06 01:11:34 ENV NCCL_VERSION=2.17.1 CUBLAS_VERSION=12.1.3.1 CUFFT_VERSION=11.0.2.4 CURAND_VERSION=10.3.2.56 CUSPARSE_VERSION=12.0.2.55 CUSOLVER_VERSION=11.4.4.55 CUTENSOR_VERSION=1.7.0.1 NPP_VERSION=12.0.2.50 NVJPEG_VERSION=12.1.0.39 CUDNN_VERSION=8.9.0.131 TRT_VERSION=8.6.1.2+cuda12.0.1.011 TRTOSS_VERSION=23.04 NSIGHT_SYSTEMS_VERSION=2023.1.1.127 NSIGHT_COMPUTE_VERSION=2023.1.0.15
0.00B 2023-04-06 01:11:34 ARG NSIGHT_COMPUTE_VERSION
0.00B 2023-04-06 01:11:34 ARG NSIGHT_SYSTEMS_VERSION
0.00B 2023-04-06 01:11:34 ARG TRTOSS_VERSION
0.00B 2023-04-06 01:11:34 ARG TRT_VERSION
0.00B 2023-04-06 01:11:34 ARG CUDNN_VERSION
0.00B 2023-04-06 01:11:34 ARG NVJPEG_VERSION
0.00B 2023-04-06 01:11:34 ARG NPP_VERSION
0.00B 2023-04-06 01:11:34 ARG CUTENSOR_VERSION
0.00B 2023-04-06 01:11:34 ARG CUSOLVER_VERSION
0.00B 2023-04-06 01:11:34 ARG CUSPARSE_VERSION
0.00B 2023-04-06 01:11:34 ARG CURAND_VERSION
0.00B 2023-04-06 01:11:34 ARG CUFFT_VERSION
0.00B 2023-04-06 01:11:34 ARG CUBLAS_VERSION
0.00B 2023-04-06 01:11:34 ARG NCCL_VERSION
0.00B 2023-04-06 01:11:34 LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
0.00B 2023-04-06 01:11:34 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
58.45KB 2023-04-06 01:11:34 RUN |3 CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. / && patch -p0 < /etc/startup_scripts.patch && rm -f /etc/startup_scripts.patch # buildkit
405.86MB 2023-04-06 01:11:33 RUN |3 CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
0.00B 2023-04-06 01:11:33 ENV CUDA_VERSION=12.1.0.023 CUDA_DRIVER_VERSION=530.30.02 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
0.00B 2023-04-06 01:11:33 ARG JETPACK_HOST_MOUNTS
0.00B 2023-04-06 01:11:33 ARG CUDA_DRIVER_VERSION
0.00B 2023-04-06 01:11:33 ARG CUDA_VERSION
303.18MB 2023-04-06 00:52:40 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
0.00B 2023-03-08 12:41:27 /bin/sh -c #(nop) CMD ["/bin/bash"]
72.79MB 2023-03-08 12:41:26 /bin/sh -c #(nop) ADD file:20f2ff22b9a8ca9bec5178036c9ebc525a12cd4312daf5d14a9a631a30be20e1 in /
0.00B 2023-03-08 12:41:24 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
0.00B 2023-03-08 12:41:24 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2023-03-08 12:41:24 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2023-03-08 12:41:24 /bin/sh -c #(nop) ARG RELEASE

镜像信息 

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    "Created": "2023-04-15T02:28:20.101743188Z",
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        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/lib/python3.8/dist-packages/torch_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:/opt/tensorrt/bin",
            "CUDA_VERSION=12.1.0.023",
            "CUDA_DRIVER_VERSION=530.30.02",
            "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=2.17.1",
            "CUBLAS_VERSION=12.1.3.1",
            "CUFFT_VERSION=11.0.2.4",
            "CURAND_VERSION=10.3.2.56",
            "CUSPARSE_VERSION=12.0.2.55",
            "CUSOLVER_VERSION=11.4.4.55",
            "CUTENSOR_VERSION=1.7.0.1",
            "NPP_VERSION=12.0.2.50",
            "NVJPEG_VERSION=12.1.0.39",
            "CUDNN_VERSION=8.9.0.131",
            "TRT_VERSION=8.6.1.2+cuda12.0.1.011",
            "TRTOSS_VERSION=23.04",
            "NSIGHT_SYSTEMS_VERSION=2023.1.1.127",
            "NSIGHT_COMPUTE_VERSION=2023.1.0.15",
            "DALI_VERSION=1.24.0",
            "DALI_BUILD=7582307",
            "POLYGRAPHY_VERSION=0.46.2",
            "TRANSFORMER_ENGINE_VERSION=0.7",
            "LD_LIBRARY_PATH=/usr/local/lib/python3.8/dist-packages/torch/lib:/usr/local/lib/python3.8/dist-packages/torch_tensorrt/lib:/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=PyTorch",
            "GDRCOPY_VERSION=2.3",
            "HPCX_VERSION=2.13",
            "MOFED_VERSION=5.4-rdmacore36.0",
            "OPENUCX_VERSION=1.14.0",
            "OPENMPI_VERSION=4.1.4",
            "RDMACORE_VERSION=36.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "PYTORCH_BUILD_VERSION=2.1.0a0+fe05266",
            "PYTORCH_VERSION=2.1.0a0+fe05266",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=23.04",
            "PYVER=3.8",
            "SETUPTOOLS_USE_DISTUTILS=stdlib",
            "OPENBLAS_VERSION=0.3.20",
            "PYTHONIOENCODING=utf-8",
            "LC_ALL=C.UTF-8",
            "PIP_DEFAULT_TIMEOUT=100",
            "NVM_DIR=/usr/local/nvm",
            "JUPYTER_PORT=8888",
            "TENSORBOARD_PORT=6006",
            "TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX",
            "CUDA_HOME=/usr/local/cuda",
            "TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1",
            "PYTORCH_HOME=/opt/pytorch/pytorch",
            "USE_EXPERIMENTAL_CUDNN_V8_API=1",
            "COCOAPI_VERSION=2.0+nv0.7.1",
            "TORCH_CUDNN_V8_API_ENABLED=1",
            "CUDA_MODULE_LOADING=LAZY",
            "NVIDIA_BUILD_ID=58180998"
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            "com.nvidia.cusolver.version": "11.4.4.55",
            "com.nvidia.cusparse.version": "12.0.2.55",
            "com.nvidia.cutensor.version": "1.7.0.1",
            "com.nvidia.nccl.version": "2.17.1",
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    "Metadata": {
        "LastTagTime": "2024-10-18T01:04:06.34009904+08:00"
    }
}

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