docker.io/nvcr.io/nvidia/pytorch:22.12-py3 linux/amd64

docker.io/nvcr.io/nvidia/pytorch:22.12-py3 - 国内下载镜像源 浏览次数:88
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:22.12-py3
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3
镜像ID sha256:1d9a58a6fcf5ac6f828197c23931c4c5149c04b6d7db682fca372394f656e9b2
镜像TAG 22.12-py3
大小 18.27GB
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 88 次
贡献者
镜像创建 2022-12-15T03:12:41.545633711Z
同步时间 2024-10-17 00:56
更新时间 2024-10-23 18:39
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=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 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=2.15.5 CUBLAS_VERSION=11.11.3.6 CUFFT_VERSION=10.9.0.58 CURAND_VERSION=10.3.0.86 CUSPARSE_VERSION=11.7.5.86 CUSOLVER_VERSION=11.4.1.48 CUTENSOR_VERSION=1.6.1.5 NPP_VERSION=11.8.0.86 NVJPEG_VERSION=11.9.0.86 CUDNN_VERSION=8.7.0.84 TRT_VERSION=8.5.1.7 TRTOSS_VERSION=22.12 NSIGHT_SYSTEMS_VERSION=2022.4.2.1 NSIGHT_COMPUTE_VERSION=2022.3.0.22 DALI_VERSION=1.20.0 DALI_BUILD=6562491 POLYGRAPHY_VERSION=0.43.1 TRANSFORMER_ENGINE_VERSION=0.3 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=1.14.0a0+410ce96 PYTORCH_VERSION=1.14.0a0+410ce96 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=22.12 PYVER=3.8 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 PYTORCH_HOME=/opt/pytorch/pytorch TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1 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=49968248
镜像标签
49968248: com.nvidia.build.id a58f3f606e2d7f2b5a9a59e7b305e0966e5e3d34: com.nvidia.build.ref 11.11.3.6: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 8.7.0.84: com.nvidia.cudnn.version 10.9.0.58: com.nvidia.cufft.version 10.3.0.86: com.nvidia.curand.version 11.4.1.48: com.nvidia.cusolver.version 11.7.5.86: com.nvidia.cusparse.version 1.6.1.5: com.nvidia.cutensor.version 2.15.5: com.nvidia.nccl.version 11.8.0.86: com.nvidia.npp.version 2022.3.0.22: com.nvidia.nsightcompute.version 2022.4.2.1: com.nvidia.nsightsystems.version 11.9.0.86: com.nvidia.nvjpeg.version 1.14.0a0+410ce96: com.nvidia.pytorch.version 8.5.1.7: com.nvidia.tensorrt.version 22.12: com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed

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:22.12-py3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3  docker.io/nvcr.io/nvidia/pytorch:22.12-py3

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3  docker.io/nvcr.io/nvidia/pytorch:22.12-py3

Shell快速替换命令 

sed -i 's#nvcr.io/nvidia/pytorch:22.12-py3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2022-12-15 11:12:41 LABEL com.nvidia.build.ref=a58f3f606e2d7f2b5a9a59e7b305e0966e5e3d34
0.00B 2022-12-15 11:12:41 ARG NVIDIA_BUILD_REF
0.00B 2022-12-15 11:12:41 LABEL com.nvidia.build.id=49968248
0.00B 2022-12-15 11:12:41 ENV NVIDIA_BUILD_ID=49968248
0.00B 2022-12-15 11:12:41 ARG NVIDIA_BUILD_ID
720.00B 2022-12-15 11:12:41 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
71.97KB 2022-12-15 11:12:41 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 ${_CUDA_COMPAT_PATH}/lib # buildkit
0.00B 2022-12-15 11:12:38 ENV CUDA_MODULE_LOADING=LAZY
0.00B 2022-12-15 11:12:38 ENV TORCH_CUDNN_V8_API_ENABLED=1
134.57MB 2022-12-15 11:12:38 RUN |1 PYVER=3.8 /bin/sh -c pip install --upgrade git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION} # buildkit
0.00B 2022-12-15 11:01:29 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 2022-12-15 11:01:29 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
50.74MB 2022-12-15 11:01:29 RUN |1 PYVER=3.8 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl # buildkit
0.00B 2022-12-15 10:55:48 ARG PYVER
120.42MB 2022-12-15 10:55:48 COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
14.96MB 2022-12-15 10:55:33 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /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} && if [[ $TARGETARCH = "amd64" ]] ; then pip install --extra-index-url http://sqrl/dldata/pip-simple --trusted-host sqrl --no-cache-dir pytorch-quantization==2.1.2; fi # buildkit
0.00B 2022-12-15 10:55:15 ENV PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
4.84MB 2022-12-15 10:55:15 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c set -x && URL=$(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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff # buildkit
51.00MB 2022-12-15 10:54:19 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c chmod -R a+w . # buildkit
34.89MB 2022-12-15 10:54:18 COPY tutorials tutorials # buildkit
15.96MB 2022-12-15 10:54:15 COPY examples examples # buildkit
1.78KB 2022-12-15 10:54:14 COPY docker-examples docker-examples # buildkit
2.06KB 2022-12-15 10:54:13 COPY NVREADME.md README.md # buildkit
0.00B 2022-12-15 10:54:13 WORKDIR /workspace
3.13GB 2022-12-15 10:54:13 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c export LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}$CUDA_HOME/lib:$CUDA_HOME/lib64" && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/RAFT-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/RMM-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUMLPRIMS_MG-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUML-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUGRAPH-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUGRAPH_OPS-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUDF-*.tar.gz && tar --exclude="*.a" --exclude="bin/xgboost" -C /usr --strip-components=1 -xf /rapids/xgboost-*.tar.gz && CPATH="${CPATH}:/usr/local/cuda-${CUDA_VERSION%.*.*}/targets/sbsa-linux/include/" pip install --no-cache-dir /rapids/cuda_python-*.whl /rapids/cupy_cuda*.whl /rapids/dask-*.whl /rapids/distributed*.whl /rapids/dask_cuda*.whl /rapids/treelite* /rapids/scikit_learn*.whl /rapids/rmm*.whl /rapids/pyarrow-*.whl /rapids/ucx_py-*.whl /rapids/cuml-*.whl /rapids/cugraph-*.whl /rapids/cudf-*.whl /rapids/dask_cudf-*.whl /rapids/pylibraft-*.whl /rapids/raft_dask-*.whl /rapids/xgboost-*.whl /rapids/pylibcugraph-*.whl networkx==2.6.3 && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so # buildkit
4.63MB 2022-12-15 10:52:46 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /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
49.45KB 2022-12-15 10:52:05 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c patch -d / -p1 < /opt/pytorch/mpmath_CVE-2021-29063.patch # buildkit
342.16MB 2022-12-15 10:52:05 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /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 2022-12-15 09:55:24 COPY singularity/ /.singularity.d/ # buildkit
62.40MB 2022-12-15 09:55:24 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /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 2022-12-15 09:54:46 ENV COCOAPI_VERSION=2.0+nv0.7.1
869.05MB 2022-12-15 09:54:46 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /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==${DALI_VERSION} # buildkit
1.50GB 2022-12-15 09:54:25 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd pytorch && USE_CUPTI_SO=1 USE_KINETO=1 CMAKE_PREFIX_PATH="/usr/local" NCCL_ROOT="/usr" NCCL_INCLUDE_DIR="/usr/include/" NCCL_LIB_DIR="/usr/lib/" USE_SYSTEM_NCCL=1 CFLAGS='-fno-gnu-unique' DEFAULT_INTEL_MKL_DIR="/usr/local" INTEL_MKL_DIR="/usr/local" python setup.py install && python setup.py clean # buildkit
0.00B 2022-12-15 08:17:33 ENV USE_EXPERIMENTAL_CUDNN_V8_API=1
0.00B 2022-12-15 08:17:33 ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
0.00B 2022-12-15 08:17:33 ENV PYTORCH_HOME=/opt/pytorch/pytorch
0.00B 2022-12-15 08:17:33 ENV CUDA_HOME=/usr/local/cuda
0.00B 2022-12-15 08:17:33 ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX
259.77MB 2022-12-15 08:17:33 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd magma-cuda && cmake -H. -Bbuild -DUSE_FORTRAN=OFF -DGPU_TARGET="All" -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-fPIC" -DCMAKE_C_FLAGS="-fPIC" -DCUDA_NVCC_FLAGS="-Xfatbin;-compress-all;-DHAVE_CUBLAS;-std=c++11;--threads=0;" -GNinja && cmake --build build --target install && rm -r ./build # buildkit
51.75MB 2022-12-15 08:05:07 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c OPENCV_VERSION=4.6.0 && cd / && wget -q -O - https://github.com/opencv/opencv/archive/${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 2022-12-15 07:59:26 EXPOSE map[6006/tcp:{}]
0.00B 2022-12-15 07:59:26 EXPOSE map[8888/tcp:{}]
0.00B 2022-12-15 07:59:26 ENV TENSORBOARD_PORT=6006
0.00B 2022-12-15 07:59:26 ENV JUPYTER_PORT=8888
427.00B 2022-12-15 07:59:26 COPY jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
157.25MB 2022-12-15 07:59:26 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 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 $NVM_DIR && curl -Lo- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash && source "$NVM_DIR/nvm.sh" && nvm install 16.15.1 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 $NVM_DIR/nvm.sh" >> /etc/bash.bashrc && mv /root/.jupyter/jupyter_notebook_config.json /usr/local/etc/jupyter/ && jupyter lab clean # buildkit
0.00B 2022-12-15 07:56:00 ENV NVM_DIR=/usr/local/nvm
27.51KB 2022-12-15 07:56:00 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c PATCHED_FILE=$(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
169.85MB 2022-12-15 07:55:59 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 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
3.15GB 2022-12-15 07:55:27 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 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 [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl==2021.1.1 mkl-include==2021.1.1 mkl-devel==2021.1.1 ; fi # buildkit
0.00B 2022-12-15 07:53:53 ENV PIP_DEFAULT_TIMEOUT=100
0.00B 2022-12-15 07:53:53 ENV LC_ALL=C.UTF-8
0.00B 2022-12-15 07:53:53 ENV PYTHONIOENCODING=utf-8
1.00GB 2022-12-15 07:53:53 COPY . . # buildkit
0.00B 2022-12-15 07:53:42 WORKDIR /opt/pytorch
46.30MB 2022-12-15 07:53:42 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c wget -q -O - https://github.com/xianyi/OpenBLAS/archive/refs/tags/v${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 2022-12-15 07:51:51 ENV OPENBLAS_VERSION=0.3.20
0.00B 2022-12-15 07:51:51 WORKDIR /opt
68.73MB 2022-12-15 07:51:51 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir pip==21.2.4 setuptools==59.5.0 && pip install --no-cache-dir cmake==3.24.1.1 # buildkit
21.68MB 2022-12-15 07:51:39 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 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
182.06MB 2022-12-15 07:51:31 RUN |4 NVIDIA_PYTORCH_VERSION=22.12 PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 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 2022-12-15 07:51:31 ENV PYVER=3.8
0.00B 2022-12-15 07:51:31 ARG PYVER=3.8
0.00B 2022-12-15 07:51:31 ARG TARGETARCH
0.00B 2022-12-15 07:51:31 LABEL com.nvidia.pytorch.version=1.14.0a0+410ce96
0.00B 2022-12-15 07:51:31 ENV PYTORCH_BUILD_VERSION=1.14.0a0+410ce96 PYTORCH_VERSION=1.14.0a0+410ce96 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=22.12
0.00B 2022-12-15 07:51:31 ARG PYTORCH_BUILD_VERSION
0.00B 2022-12-15 07:51:31 ARG NVIDIA_PYTORCH_VERSION
0.00B 2022-12-15 07:51:31 ENV NVIDIA_PRODUCT_NAME=PyTorch
0.00B 2022-12-15 06:49:06 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 if [[ "$CUDA_VERSION" == "11.2.1.007" && $(dpkg --print-architecture) == "amd64" ]]; then wget http://sqrl.nvidia.com/dldata/sgodithi/bug3254800/cicc >/dev/null 2>&1 && cp cicc /usr/local/cuda/nvvm/bin/. ; fi # buildkit
0.00B 2022-12-15 06:49:05 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
1.02GB 2022-12-15 06:49:05 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.13 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.14.0 OPENMPI_VERSION=4.1.4 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0 && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUDA.sh && /nvidia/build-scripts/installLIBS.sh && /nvidia/build-scripts/installNCCL.sh && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installCUTENSOR.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi && rm -f /tmp/cuda-*.patch # buildkit
1.49KB 2022-12-15 06:43:30 COPY cuda-*.patch /tmp # buildkit
0.00B 2022-12-15 06:43:30 ENV OMPI_MCA_coll_hcoll_enable=0
0.00B 2022-12-15 06:43:30 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 2022-12-15 06:43:30 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 2022-12-15 06:43:30 ARG TARGETARCH
0.00B 2022-12-15 06:43:30 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 2022-12-15 06:43:30 ARG OPENMPI_VERSION
0.00B 2022-12-15 06:43:30 ARG OPENUCX_VERSION
0.00B 2022-12-15 06:43:30 ARG MOFED_VERSION=5.4-rdmacore36.0
0.00B 2022-12-15 06:43:30 ARG RDMACORE_VERSION
0.00B 2022-12-15 06:43:30 ARG HPCX_VERSION
0.00B 2022-12-15 06:43:30 ARG GDRCOPY_VERSION
102.34MB 2022-12-15 06:43:27 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 2022-12-15 06:30:51 COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
0.00B 2022-12-15 06:30:51 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2022-12-15 06:30:51 ENV NVIDIA_PRODUCT_NAME=CUDA
12.46KB 2022-12-15 06:30:51 COPY entrypoint/ /opt/nvidia/ # buildkit
0.00B 2022-12-15 06:30:50 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
46.00B 2022-12-15 06:30:50 RUN |21 CUDA_VERSION=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.15.5 CUBLAS_VERSION=11.11.3.6 CUFFT_VERSION=10.9.0.58 CURAND_VERSION=10.3.0.86 CUSPARSE_VERSION=11.7.5.86 CUSOLVER_VERSION=11.4.1.48 CUTENSOR_VERSION=1.6.1.5 NPP_VERSION=11.8.0.86 NVJPEG_VERSION=11.9.0.86 CUDNN_VERSION=8.7.0.84 TRT_VERSION=8.5.1.7 TRTOSS_VERSION=22.12 NSIGHT_SYSTEMS_VERSION=2022.4.2.1 NSIGHT_COMPUTE_VERSION=2022.3.0.22 DALI_VERSION=1.20.0 DALI_BUILD=6562491 POLYGRAPHY_VERSION=0.43.1 TRANSFORMER_ENGINE_VERSION=0.3 /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 2022-12-15 06:30:50 ADD docs.tgz / # buildkit
0.00B 2022-12-15 06:30:50 ENV DALI_VERSION=1.20.0 DALI_BUILD=6562491 POLYGRAPHY_VERSION=0.43.1 TRANSFORMER_ENGINE_VERSION=0.3
0.00B 2022-12-15 06:30:50 ARG TRANSFORMER_ENGINE_VERSION
0.00B 2022-12-15 06:30:50 ARG POLYGRAPHY_VERSION
0.00B 2022-12-15 06:30:50 ARG DALI_BUILD
0.00B 2022-12-15 06:30:50 ARG DALI_VERSION
0.00B 2022-12-15 06:30:50 LABEL com.nvidia.nccl.version=2.15.5 com.nvidia.cublas.version=11.11.3.6 com.nvidia.cufft.version=10.9.0.58 com.nvidia.curand.version=10.3.0.86 com.nvidia.cusparse.version=11.7.5.86 com.nvidia.cusolver.version=11.4.1.48 com.nvidia.cutensor.version=1.6.1.5 com.nvidia.npp.version=11.8.0.86 com.nvidia.nvjpeg.version=11.9.0.86 com.nvidia.cudnn.version=8.7.0.84 com.nvidia.tensorrt.version=8.5.1.7 com.nvidia.tensorrtoss.version=22.12 com.nvidia.nsightsystems.version=2022.4.2.1 com.nvidia.nsightcompute.version=2022.3.0.22
4.68GB 2022-12-15 06:30:50 RUN |17 CUDA_VERSION=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.15.5 CUBLAS_VERSION=11.11.3.6 CUFFT_VERSION=10.9.0.58 CURAND_VERSION=10.3.0.86 CUSPARSE_VERSION=11.7.5.86 CUSOLVER_VERSION=11.4.1.48 CUTENSOR_VERSION=1.6.1.5 NPP_VERSION=11.8.0.86 NVJPEG_VERSION=11.9.0.86 CUDNN_VERSION=8.7.0.84 TRT_VERSION=8.5.1.7 TRTOSS_VERSION=22.12 NSIGHT_SYSTEMS_VERSION=2022.4.2.1 NSIGHT_COMPUTE_VERSION=2022.3.0.22 /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 2022-12-15 06:27:34 ENV NCCL_VERSION=2.15.5 CUBLAS_VERSION=11.11.3.6 CUFFT_VERSION=10.9.0.58 CURAND_VERSION=10.3.0.86 CUSPARSE_VERSION=11.7.5.86 CUSOLVER_VERSION=11.4.1.48 CUTENSOR_VERSION=1.6.1.5 NPP_VERSION=11.8.0.86 NVJPEG_VERSION=11.9.0.86 CUDNN_VERSION=8.7.0.84 TRT_VERSION=8.5.1.7 TRTOSS_VERSION=22.12 NSIGHT_SYSTEMS_VERSION=2022.4.2.1 NSIGHT_COMPUTE_VERSION=2022.3.0.22
0.00B 2022-12-15 06:27:34 ARG NSIGHT_COMPUTE_VERSION
0.00B 2022-12-15 06:27:34 ARG NSIGHT_SYSTEMS_VERSION
0.00B 2022-12-15 06:27:34 ARG TRTOSS_VERSION
0.00B 2022-12-15 06:27:34 ARG TRT_VERSION
0.00B 2022-12-15 06:27:34 ARG CUDNN_VERSION
0.00B 2022-12-15 06:27:34 ARG NVJPEG_VERSION
0.00B 2022-12-15 06:27:34 ARG NPP_VERSION
0.00B 2022-12-15 06:27:34 ARG CUTENSOR_VERSION
0.00B 2022-12-15 06:27:34 ARG CUSOLVER_VERSION
0.00B 2022-12-15 06:27:34 ARG CUSPARSE_VERSION
0.00B 2022-12-15 06:27:34 ARG CURAND_VERSION
0.00B 2022-12-15 06:27:34 ARG CUFFT_VERSION
0.00B 2022-12-15 06:27:34 ARG CUBLAS_VERSION
0.00B 2022-12-15 06:27:34 ARG NCCL_VERSION
0.00B 2022-12-15 06:27:34 LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
0.00B 2022-12-15 06:27:34 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
656.37KB 2022-12-15 06:27:34 RUN |3 CUDA_VERSION=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. / && patch -p0 < /etc/startup_scripts.patch && rm -f /etc/startup_scripts.patch # buildkit
396.52MB 2022-12-15 06:27:34 RUN |3 CUDA_VERSION=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
0.00B 2022-12-15 06:27:34 ENV CUDA_VERSION=11.8.0.065 CUDA_DRIVER_VERSION=520.61.05 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
0.00B 2022-12-15 06:27:34 ARG JETPACK_HOST_MOUNTS
0.00B 2022-12-15 06:27:34 ARG CUDA_DRIVER_VERSION
0.00B 2022-12-15 06:27:34 ARG CUDA_VERSION
301.56MB 2022-12-13 05:08:57 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 2022-12-09 09:20:21 /bin/sh -c #(nop) CMD ["bash"]
72.79MB 2022-12-09 09:20:21 /bin/sh -c #(nop) ADD file:9d282119af0c42bc823c95b4192a3350cf2cad670622017356dd2e637762e425 in /

镜像信息 

{
    "Id": "sha256:1d9a58a6fcf5ac6f828197c23931c4c5149c04b6d7db682fca372394f656e9b2",
    "RepoTags": [
        "nvcr.io/nvidia/pytorch:22.12-py3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:22.12-py3"
    ],
    "RepoDigests": [
        "nvcr.io/nvidia/pytorch@sha256:09a80f272dd173c9d8f28c23a1985aebe2bd3edd41a184ee9634f6e3f8a1f63d",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch@sha256:39d521c4791540eeea8a04cd9d2787d384f0b9459c5ece019e7aa308577e8dbc"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2022-12-15T03:12:41.545633711Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "6006/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "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=11.8.0.065",
            "CUDA_DRIVER_VERSION=520.61.05",
            "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=2.15.5",
            "CUBLAS_VERSION=11.11.3.6",
            "CUFFT_VERSION=10.9.0.58",
            "CURAND_VERSION=10.3.0.86",
            "CUSPARSE_VERSION=11.7.5.86",
            "CUSOLVER_VERSION=11.4.1.48",
            "CUTENSOR_VERSION=1.6.1.5",
            "NPP_VERSION=11.8.0.86",
            "NVJPEG_VERSION=11.9.0.86",
            "CUDNN_VERSION=8.7.0.84",
            "TRT_VERSION=8.5.1.7",
            "TRTOSS_VERSION=22.12",
            "NSIGHT_SYSTEMS_VERSION=2022.4.2.1",
            "NSIGHT_COMPUTE_VERSION=2022.3.0.22",
            "DALI_VERSION=1.20.0",
            "DALI_BUILD=6562491",
            "POLYGRAPHY_VERSION=0.43.1",
            "TRANSFORMER_ENGINE_VERSION=0.3",
            "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=1.14.0a0+410ce96",
            "PYTORCH_VERSION=1.14.0a0+410ce96",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=22.12",
            "PYVER=3.8",
            "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",
            "PYTORCH_HOME=/opt/pytorch/pytorch",
            "TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1",
            "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=49968248"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.build.id": "49968248",
            "com.nvidia.build.ref": "a58f3f606e2d7f2b5a9a59e7b305e0966e5e3d34",
            "com.nvidia.cublas.version": "11.11.3.6",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "8.7.0.84",
            "com.nvidia.cufft.version": "10.9.0.58",
            "com.nvidia.curand.version": "10.3.0.86",
            "com.nvidia.cusolver.version": "11.4.1.48",
            "com.nvidia.cusparse.version": "11.7.5.86",
            "com.nvidia.cutensor.version": "1.6.1.5",
            "com.nvidia.nccl.version": "2.15.5",
            "com.nvidia.npp.version": "11.8.0.86",
            "com.nvidia.nsightcompute.version": "2022.3.0.22",
            "com.nvidia.nsightsystems.version": "2022.4.2.1",
            "com.nvidia.nvjpeg.version": "11.9.0.86",
            "com.nvidia.pytorch.version": "1.14.0a0+410ce96",
            "com.nvidia.tensorrt.version": "8.5.1.7",
            "com.nvidia.tensorrtoss.version": "22.12",
            "com.nvidia.volumes.needed": "nvidia_driver"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 18268947987,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b72ab5eb679e5e28a0e96ac874c5dea19a8d69bdc3d1d069dddeb1c9daa77374/diff:/var/lib/docker/overlay2/bc79138601fdd7d040c1083166097db7392fa7f9a00733e6a5a7afe82647fbcd/diff:/var/lib/docker/overlay2/ba2925f975896aa33fe8ab6cb976a0999e65e50cb8d969d1ed982512f04f284c/diff:/var/lib/docker/overlay2/f3c056200cb8b0a2abd9fb250d9c3cdff369794891635d017a47d0f0a4bc8116/diff:/var/lib/docker/overlay2/6d50d472ea310c8380572ed80457cc87b45a3d5bc5b6a97da66a45d6171df2ae/diff:/var/lib/docker/overlay2/87a946d0712a0e181198fb0d6fad60a1bd9230afc160cd4252a54c08f97abf86/diff:/var/lib/docker/overlay2/bc8104cc5c1537ab3dd2c18d3ee22649ff7b9b3a07ebafb571c32827524875b7/diff:/var/lib/docker/overlay2/e298becb37c5b336e39d1285c15b072bfec3710df46542a04658af94367aec9f/diff:/var/lib/docker/overlay2/b96f7f64ca64530583bbaaad6e0a28e6b31a41609edcb6e6635916a59320ba3c/diff:/var/lib/docker/overlay2/2b770c85a2dee848695a1e725a171f54ecd692658d95f6ba7acde326f4178af8/diff:/var/lib/docker/overlay2/101d09583c76c7910927d08543c0d0be7751d5b026d4dc4daa900c9abd5adc0a/diff:/var/lib/docker/overlay2/75c138d0d8c055da935df3026f96676b5b25912502cb36500e86dba767338891/diff:/var/lib/docker/overlay2/3297aba411a9fad7e33d9234cb6bcb54e5e2526c6a39d6cce0a83a5bd64a7b51/diff:/var/lib/docker/overlay2/7a2718fd3e0569b399f2090a9b5de11d492ca2d026c079494cef765bf43d434c/diff:/var/lib/docker/overlay2/53d51c57ae91ed912514bcb93d8b083bf07c0588c333780eb06a8d335a69b44a/diff:/var/lib/docker/overlay2/4da45b3195a89ec709e0d2c55978d642bc828a65a0491c73b66914ae82f7cbe6/diff:/var/lib/docker/overlay2/86f2e9661fa3382b99d56bcc9be9976243fccaf4cc26af1b616f22408a703778/diff:/var/lib/docker/overlay2/52d908408ea95f5c64f4ad9f1d7792c8f99a4c0c1c4301a2349845b984b69c80/diff:/var/lib/docker/overlay2/011b56ee976164eb230911032823de7c138ddcb1eeec3258dde1dda23e1dfb1d/diff:/var/lib/docker/overlay2/8475d1dcc57e392bf4dc111cdc52155bd96babc1c868a68a635d6b54bfa0c17f/diff:/var/lib/docker/overlay2/ded7eef447032ed528a3ed3011312641f78e0e1f6bc9e3ef49311a6ae9394b4b/diff:/var/lib/docker/overlay2/7ee5a758bc4bd4cc837a4e2b61b182724bf27563f5fb3bb8bc9f6b4d17594cde/diff:/var/lib/docker/overlay2/9bf8f344dbd270d10ac773fa4c69cd9a5a0c63e286a3406e708ad65f615072e7/diff:/var/lib/docker/overlay2/29cf6c716edac51d2ef9cb3d197615216d6b4b6eb57b95a849289e5111f19852/diff:/var/lib/docker/overlay2/f07ce55a131a253ecd1abdd78d41123525aefcc2f5fc1181cca7ec3501c0fca7/diff:/var/lib/docker/overlay2/06e9bc40874ec426de556720825c3374b0ed8ba630d66cd6b8bf5d646dee52ad/diff:/var/lib/docker/overlay2/93f94dafd7e986cf947574a5d60044c24c98e52e2cacfc2e7f042ac810a89efe/diff:/var/lib/docker/overlay2/0b59da5b5bc7f1676e9dd6cfbb3c0494d3409c47d7395e75c751c7f21ea0abed/diff:/var/lib/docker/overlay2/a9084f31c61df9815e6c4157c96a8f93f3bbd6cd2739749221a682c9439a116f/diff:/var/lib/docker/overlay2/04e5976540b0b5d1c3a770eedc120f3abe7c946599ffa0ff9e19f19f5bd01805/diff:/var/lib/docker/overlay2/be00583a47c91613299e0b56e07e8133a9ddaeb5508a0af194fdf2049e8f8bd3/diff:/var/lib/docker/overlay2/ccd92d6e3124390c50c130d1e89e167cb2d2a119bf0550574e5017a7702e4de5/diff:/var/lib/docker/overlay2/92d02b67fedc2dfc5fd51e6dc68f4ef536539966b29601ff8656e8f3935d8f56/diff:/var/lib/docker/overlay2/a2a077ba49fac323c818b4133411ca32be9b6ccd5538658de5f0b6eaa116b61f/diff:/var/lib/docker/overlay2/ee479615cea78d6c815a4c7b2fba24bb816a7e0b23683abf6558b1858775b2b3/diff:/var/lib/docker/overlay2/f074c09ebc0edf34ef29b319817639ec58e0d0eb38923c33f27f30674ac37ddd/diff:/var/lib/docker/overlay2/e55ac666ab3618cdd1021fc1829b1b500f5cec06465d6c4f7b360598d120d83a/diff:/var/lib/docker/overlay2/fdcf758997802f13c381569b9792755d8cc6b60726997bbbaca8a2657c959b11/diff:/var/lib/docker/overlay2/e36d468ac20264e33b909dfe7da913b8c0e2b7eaad6e90d5b376a2d6476413fa/diff:/var/lib/docker/overlay2/80b0d384dad8a9c9d862f68d38a616099ba2488a05a9cf83611863a5a8bec655/diff:/var/lib/docker/overlay2/5bc264ea18adee54a53910baabc4506d8bf39a04abc9d696b9e62136a922f0c6/diff:/var/lib/docker/overlay2/6dd73924117fe89c5fe4e1623d388fea1a6e09ce5e1b92d84f4cf0de2dbe7b4e/diff:/var/lib/docker/overlay2/8faa70833a7f185bd7226c73e556bbad18241e9c0a785f27d677b92833d65329/diff:/var/lib/docker/overlay2/68a4110dc301904e1269349edfe920ff3e0891351e83067d25932cd3c9b96893/diff:/var/lib/docker/overlay2/9b22e2038754212794012d590e69fe85e54ef6d2e2ca656cee55734cb442808a/diff",
            "MergedDir": "/var/lib/docker/overlay2/9ee568a1a8347f316157536e271ff5e94b610ac8e4ede12c5e814859b48c3bf3/merged",
            "UpperDir": "/var/lib/docker/overlay2/9ee568a1a8347f316157536e271ff5e94b610ac8e4ede12c5e814859b48c3bf3/diff",
            "WorkDir": "/var/lib/docker/overlay2/9ee568a1a8347f316157536e271ff5e94b610ac8e4ede12c5e814859b48c3bf3/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:0002c93bdb3704dd9e36ce5153ef637f84de253015f3ee330468dccdeacad60b",
            "sha256:f1133182f9176f808836a1da986d49a743ffef123c3e043665c969641d476a0e",
            "sha256:5315510b97a53b3798577a5d3ab016711a172e6592dcb62eb9a379334ff8137e",
            "sha256:1aa2a552b9cc22f74b5bd4f845d814cf8f98179353c589c9524f5fd14066893f",
            "sha256:60e5365b20887bea5ff0d4943c1e7d3cabc5fc88895460d747f9715bb89374c3",
            "sha256:99d243a0c0a688b2d656423b7ee3534278d8b24b13e9ae07b6c69dc3d0d061ae",
            "sha256:c0df662a799d1c11c3db86f201628479dbd362e85286be0a17af3e0d4318a62d",
            "sha256:0aded1f539825c359320b67eeed512e7b63f43284f4272969918ef4cbf335e64",
            "sha256:eb8680c17196ae075b20a67d17900bceff407d2363ff0fec238a63040868fbed",
            "sha256:20c3eb845057dde8d4428f0d7a5d8b07d5896b5b881f43442d20c76cc3d962e1",
            "sha256:c9bece9394f22680edac326b1716e23c2ef1c2b57b68bf294643b6b6f6ab9f86",
            "sha256:e09071e1a97b0c1a459e8a831c4ec0e7aba4b220ecd3e39af0e378e27c86538a",
            "sha256:5214ca09c8e0e4c898f0a9ac9156f3e080d5e81bf165bd89c7ea35c8bd1ffb97",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:fd5625d2f8409414a9082c66100bfff983d84bd36a787c010b5f1e08bb142390",
            "sha256:ed96c3c53e36c1f8cb4c1362499d66f1169120731f5b6387f7bdf69596441a4c",
            "sha256:901b71b0662a9fc22cf430ccd0175b5c5dfd69bc1530ac7ae991a8fd2dd1678a",
            "sha256:f50313ca0c0bd298b3db3124a246e6c08589f4403eed6446688e4e6f10bbf70d",
            "sha256:d327540e93865e9e825442bbbc9dcd4b17782fa6d180c8f421ba2b482eddd877",
            "sha256:e5f37ea3d917ebdb12a9de78204d7a9da4c2e2c1b04a5a26c2112e3eac36226e",
            "sha256:02ce4d51c110a5dc5f6009ae3c7f768ae802772a08b822cdfa855a4884d95295",
            "sha256:2edff6e4cab3981a51786d466d4af38ff09c151e073c1c2677b1c7393e1b94b1",
            "sha256:eae1300110042e085812909f3eb5037d302e6bf8c0fce7c1490389c640f475b4",
            "sha256:a2c6c716ed3bf2b4dd00866be4af19cc5eb2a3200fb7ad75501125d6ea394f10",
            "sha256:4b16fb61733360c531798ef9ea99aa0c747ae38ce80529d1812617101bcd4924",
            "sha256:fa1fc8b7150052a4fdc9174e88e3414b2d3c94db496105be284f06a577c6097c",
            "sha256:e89aad2361bf121544dc7da90d442e7fad09e0c5cac312eafacec5288a38e61b",
            "sha256:e7be312f6e13a31a699d9dc0d5396c176e33cf4454080a5432e70895714aff7a",
            "sha256:9e544d93ef10cd8963043cee21fdc614e555f43961dede079bdce1e53938ae69",
            "sha256:b87ee2fa7b50ad522fa436e4271b997efab0ed5c92589499c84d046aa4a87c13",
            "sha256:81a9971d8b2626131cffa59a9d5c16cedf28243c44fdab5acdb9b20776dfa264",
            "sha256:dea8fc6e344f9bc66cc52528f76157fd4b04204f0ee4a4e77c7c85a83fa0ab15",
            "sha256:4f7cff6d0b9e9c822df9265b192d87ba97e39bb1201aa76b54823a9929a21236",
            "sha256:0d039a1c00f5677d39b577baa40dbab5df740f19bf46411be41e37d0d94c8b6a",
            "sha256:96ae5b28f07b44be70f0e55583463aa6ad3eee5154aa7c13e6b9bc2548ac2a3c",
            "sha256:27ec88ad156e5a34ff43f14bd59170c749a3e924de94833337d98f3a899b8147",
            "sha256:06c65eb82432b863d004fc5096ac936226af20587aa75e3f4270c5a7f5604412",
            "sha256:97173a335f970508f231b446806b97448ff53591bbefd1157ed371fe8cdeee77",
            "sha256:954357da279eab43aceeaa9b8bd273ff4b3daab954f8c27485cab548a4aa291e",
            "sha256:3c6d62ed2fbc71bd5de1717a723c437946c68cae19ae02f3db903f19057092dd",
            "sha256:4a6809e5848f3729ca91288971fbd390325300d62d1b0844de29af34fe269acf",
            "sha256:2de28d50f2f77cc8278511ba38a45d2697d5db23ac0956244e7e6cc784c643f2",
            "sha256:0302cc7580cbad186638c419bee741e0b50ae583950ad1fd62d532ec3b4343d3",
            "sha256:9bb630953851670edd82c1316e3954d46751d6a171dfd15613bd6c111d54166a",
            "sha256:06c816cfff3c24241ecedc83a050c816716e4a5b43bda4721052ef08192d2d2b",
            "sha256:1cbf51f838e88f69e3c376033a34aea5871e576296e2a5ef9245c33f4e648712"
        ]
    },
    "Metadata": {
        "LastTagTime": "2024-10-17T00:37:20.549086888+08:00"
    }
}

更多版本