docker.io/nvcr.io/nvidia/pytorch:21.11-py3 linux/amd64

docker.io/nvcr.io/nvidia/pytorch:21.11-py3 - 国内下载镜像源 浏览次数:38
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:21.11-py3
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:21.11-py3
镜像ID sha256:6eae00e8ee65e4c1be528e156c0351200bb38a6880255abc140ff25d03027a3b
镜像TAG 21.11-py3
大小 14.47GB
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 38 次
贡献者
镜像创建 2021-11-12T13:21:41.614915734Z
同步时间 2024-10-22 10:38
更新时间 2024-10-23 19:02
开放端口
6006/tcp 8888/tcp
环境变量
PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/bin:/opt/cmake-3.19.3-Linux-$(uname -m)/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=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 CUDA_CACHE_DISABLE=1 _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.11.4+cuda11.4 CUBLAS_VERSION=11.7.3.1 CUFFT_VERSION=10.6.0.54 CURAND_VERSION=10.2.6.48 CUSPARSE_VERSION=11.7.0.31 CUSOLVER_VERSION=11.2.1.48 CUTENSOR_VERSION=1.3.2.3 NPP_VERSION=11.5.1.53 NVJPEG_VERSION=11.5.3.48 CUDNN_VERSION=8.3.0.96 TRT_VERSION=8.0.3.4+cuda11.3.1.005 TRTOSS_VERSION=21.10 NSIGHT_SYSTEMS_VERSION=2021.3.2.4 NSIGHT_COMPUTE_VERSION=2021.3.0.13 DALI_VERSION=1.7.0 DALI_BUILD=3161358 DLPROF_VERSION=21.11 LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-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=2.9.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.11.0-rc1 OPENMPI_VERSION=4.1.1 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=1.11.0a0+b6df043 PYTORCH_VERSION=1.11.0a0+b6df043 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=21.11 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+PTX CUDA_HOME=/usr/local/cuda COCOAPI_VERSION=2.0+nv0.5.1 PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8 NVIDIA_BUILD_ID=29224839
镜像标签
29224839: com.nvidia.build.id 76cc45c65c483a78f747d01349c28c00cb6c0575: com.nvidia.build.ref 11.7.3.1: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 8.3.0.96: com.nvidia.cudnn.version 10.6.0.54: com.nvidia.cufft.version 10.2.6.48: com.nvidia.curand.version 11.2.1.48: com.nvidia.cusolver.version 11.7.0.31: com.nvidia.cusparse.version 1.3.2.3: com.nvidia.cutensor.version 2.11.4+cuda11.4: com.nvidia.nccl.version 11.5.1.53: com.nvidia.npp.version 2021.3.0.13: com.nvidia.nsightcompute.version 2021.3.2.4: com.nvidia.nsightsystems.version 11.5.3.48: com.nvidia.nvjpeg.version 1.11.0a0+b6df043: com.nvidia.pytorch.version 8.0.3.4+cuda11.3.1.005: com.nvidia.tensorrt.version 21.10: 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:21.11-py3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:21.11-py3  docker.io/nvcr.io/nvidia/pytorch:21.11-py3

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:21.11-py3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:21.11-py3  docker.io/nvcr.io/nvidia/pytorch:21.11-py3

Shell快速替换命令 

sed -i 's#nvcr.io/nvidia/pytorch:21.11-py3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:21.11-py3#' deployment.yaml

镜像历史

大小 创建时间 层信息
0.00B 2021-11-12 21:21:41 LABEL com.nvidia.build.ref=76cc45c65c483a78f747d01349c28c00cb6c0575
0.00B 2021-11-12 21:21:41 ARG NVIDIA_BUILD_REF
0.00B 2021-11-12 21:21:41 LABEL com.nvidia.build.id=29224839
0.00B 2021-11-12 21:21:41 ENV NVIDIA_BUILD_ID=29224839
0.00B 2021-11-12 21:21:41 ARG NVIDIA_BUILD_ID
835.00B 2021-11-12 21:21:41 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
60.00KB 2021-11-12 21:21:39 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 ${_CUDA_COMPAT_PATH}/lib # buildkit
0.00B 2021-11-12 21:16:09 ENV PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/bin:/opt/cmake-3.19.3-Linux-$(uname -m)/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 2021-11-12 21:16:09 ENV LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
39.22MB 2021-11-12 21:16:09 RUN |1 PYVER=3.8 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl # buildkit
0.00B 2021-11-12 21:16:02 ARG PYVER
74.06MB 2021-11-12 21:16:02 COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
65.71MB 2021-11-12 21:15:42 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c mkdir -p /opt/dlprof && mkdir -p /opt/dlprof_viewer_install && cp /nvidia/tmp/pip/* /opt/dlprof_viewer_install/ && cp /nvidia/opt/dlprof/bin/dlprof /opt/dlprof/ && cp /nvidia/workspace/LICENSE /opt/dlprof/ && cp /nvidia/workspace/README.md /opt/dlprof/ && ln -sf /opt/dlprof/dlprof /usr/local/bin/dlprof && cd /nvidia/opt/dlprof/bin/ && pip install --no-cache-dir nvidia_dlprof_pytorch_nvtx* && cd /opt/dlprof_viewer_install && pip install --no-cache-dir nvidia_dlprofviewer-* && rm -rf /opt/conda/lib/python3.8/site-packages/qa # buildkit
14.62MB 2021-11-12 21:15:24 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 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==0.33.0 && if [[ $TARGETARCH = "amd64" ]] ; then pip install --extra-index-url http://sqrl/dldata/pip-simple --trusted-host sqrl --no-cache-dir pytorch-quantization==2.1.2; fi # buildkit
0.00B 2021-11-12 21:14:37 ENV PATH=/opt/conda/bin:/opt/cmake-3.19.3-Linux-$(uname -m)/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
3.69MB 2021-11-12 21:14:37 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)deb.*$/\1/p")tar && FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) && 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 && 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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff # buildkit
51.00MB 2021-11-12 21:14:27 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c chmod -R a+w . # buildkit
34.89MB 2021-11-12 21:14:25 COPY tutorials tutorials # buildkit
15.96MB 2021-11-12 21:14:24 COPY examples examples # buildkit
1.78KB 2021-11-12 21:14:24 COPY docker-examples docker-examples # buildkit
2.06KB 2021-11-12 21:14:22 COPY NVREADME.md README.md # buildkit
0.00B 2021-11-12 21:13:08 WORKDIR /workspace
0.00B 2021-11-12 21:13:08 ENV PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8
1.86GB 2021-11-12 21:13:08 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c if [ "${TARGETARCH}" = "amd64" ] ; then 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/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/CUDF-*.tar.gz && tar --exclude="*.a" --exclude="bin/xgboost" -C /usr --strip-components=1 -xf /rapids/xgboost-*.tar.gz && pip install --no-cache-dir scikit-learn==0.23.1 cupy-cuda114==9.3.0 dask-cuda==21.8.0 dask-ml==1.9.0 treelite==1.3.0 treelite-runtime==1.3.0 /rapids/rmm*.whl /rapids/pyarrow-*.whl /rapids/ucx_py-*.whl /rapids/cuml-*.whl /rapids/cugraph-*.whl /rapids/cudf-*.whl /rapids/dask_cudf-*.whl /rapids/xgboost-*.whl && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so; fi # buildkit
5.41MB 2021-11-12 21:12:15 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 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/8.2.0 && sed -i 's/DEBUG = False/DEBUG = True/' setup.py && if [[ $TARGETARCH = "amd64" ]] ; then CC="cc -mavx" pip install --no-cache-dir --disable-pip-version-check . ; fi && if [[ $TARGETARCH = "arm64" ]] ; then pip install --no-cache-dir --disable-pip-version-check . ; fi && rm -rf ../pillow-simd # buildkit
268.10MB 2021-11-12 19:59:48 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c ( cd vision && CFLAGS="-g0" FORCE_CUDA=1 pip install --no-cache-dir --disable-pip-version-check . ) && ( cd vision && mkdir build && cd build && cmake -DWITH_CUDA=1 -DCMAKE_PREFIX_PATH=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'` .. && make && make install ) && ( cd apex && CFLAGS="-g0" pip install --no-cache-dir --disable-pip-version-check --global-option="--cpp_ext" --global-option="--cuda_ext" --global-option="--bnp" --global-option="--xentropy" --global-option="--deprecated_fused_adam" --global-option="--deprecated_fused_lamb" --global-option="--fast_multihead_attn" --global-option="--distributed_lamb" --global-option="--fast_layer_norm" --global-option="--transducer" --global-option="--distributed_adam" --global-option="--fmha" --global-option="--fast_bottleneck" . ) && ( cd text && pip install --no-cache-dir --disable-pip-version-check . ) && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-cache-dir --disable-pip-version-check . ) # buildkit
32.14KB 2021-11-12 19:59:48 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c patch -p0 < apex_mha.patch # buildkit
2.21KB 2021-11-12 19:59:47 COPY singularity/ /.singularity.d/ # buildkit
17.47MB 2021-11-12 19:59:11 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//') && pip install --no-cache-dir cython pybind11 && pip install --no-cache-dir git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
0.00B 2021-11-12 19:58:32 ENV COCOAPI_VERSION=2.0+nv0.5.1
1.25GB 2021-11-12 19:58:32 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c if dpkg --compare-versions ${DALI_VERSION} lt 0.23; then DALI_URL_SUFFIX="/cuda/${CUDA_VERSION%%.*}.0"; else DALI_PKG_SUFFIX="-cuda${CUDA_VERSION%%.*}0"; fi && pip install --no-cache-dir --extra-index-url https://developer.download.nvidia.com/compute/redist --extra-index-url http://sqrl/dldata/pip-dali${DALI_URL_SUFFIX:-} --trusted-host sqrl nvidia-dali${DALI_PKG_SUFFIX:-}==${DALI_VERSION} # buildkit
1.97GB 2021-11-12 18:41:11 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd pytorch && CFLAGS="-g0" USE_CUPTI_SO=1 USE_KINETO=1 CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" NCCL_INCLUDE_DIR="/usr/include/" NCCL_LIB_DIR="/usr/lib/" USE_SYSTEM_NCCL=1 CFLAGS='-fno-gnu-unique' python setup.py install && python setup.py clean # buildkit
0.00B 2021-11-12 18:41:08 ENV CUDA_HOME=/usr/local/cuda
0.00B 2021-11-12 18:41:08 ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX
24.52KB 2021-11-12 18:41:08 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir expecttest # buildkit
109.17MB 2021-11-12 18:40:54 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir librosa # buildkit
0.00B 2021-11-12 18:40:48 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir typing_extensions # buildkit
251.43MB 2021-11-12 18:40:48 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c conda build magma-cuda/ && conda install `conda build --output magma-cuda` && rm -rf conda `conda build --output magma-cuda` && /opt/conda/bin/conda clean -ya # buildkit
0.00B 2021-11-12 18:23:59 EXPOSE map[6006/tcp:{}]
0.00B 2021-11-12 18:23:59 EXPOSE map[8888/tcp:{}]
0.00B 2021-11-12 18:23:59 ENV TENSORBOARD_PORT=6006
0.00B 2021-11-12 18:23:59 ENV JUPYTER_PORT=8888
427.00B 2021-11-12 18:23:59 COPY jupyter_notebook_config.py /opt/conda/etc/jupyter/ # buildkit
321.51MB 2021-11-12 18:23:58 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --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 16.6.1 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 $NVM_DIR/versions/node/$(node -v)/lib/node_modules/npm && npm install tar@^6.1.1 --production ) && ( cd $NVM_DIR/versions/node/$(node -v)/lib/node_modules/npm && npm prune --production ) && ( cd /opt/conda/share/jupyter/lab/staging/node_modules/@jupyterlab/coreutils && npm install url-parse@^1.5.0 --production ) && ( cd /opt/conda/share/jupyter/lab/staging && npm prune --production ) && npm cache clean --force && rm -rf /usr/local/share/.cache && echo "source $NVM_DIR/nvm.sh" >> /etc/bash.bashrc && mv /root/.jupyter/jupyter_notebook_config.json /opt/conda/etc/jupyter/ # buildkit
0.00B 2021-11-12 18:20:08 ENV NVM_DIR=/usr/local/nvm
26.23KB 2021-11-12 18:20:08 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c PATCHED_FILE=$(python -c "from tensorboard.plugins.core import core_plugin as _; print(_.__file__)") && sed -i 's/^\( *"--bind_all",\)$/\1 default=True,/' "$PATCHED_FILE" && test $(grep '^ *"--bind_all", default=True,$' "$PATCHED_FILE" | wc -l) -eq 1 # buildkit
45.50MB 2021-11-12 18:20:06 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir tensorboard # buildkit
229.22MB 2021-11-12 18:19:55 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir -r text/requirements.txt && pip install --no-cache-dir -r caffe2_requirements.txt && pip install --no-cache-dir notebook==6.4.1 jupyterlab==2.3.2 python-hostlist # buildkit
43.18MB 2021-11-12 18:18:43 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c OPENCV_VERSION=3.4.11 && cd / && wget -q -O - https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - && cd /opencv-${OPENCV_VERSION} && mkdir build && cd build && cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr -DWITH_CUDA=OFF -DWITH_1394=OFF -DPYTHON3_PACKAGES_PATH=$(python -c "from distutils.sysconfig import *; print(get_python_lib())") -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF -DWITH_IPP=OFF -DWITH_PROTOBUF=OFF .. && make -j"$(nproc)" install && rm -rf /opencv-${OPENCV_VERSION} # buildkit
695.25MB 2021-11-12 18:14:48 COPY . . # buildkit
0.00B 2021-11-12 18:14:24 WORKDIR /opt/pytorch
26.89KB 2021-11-12 18:14:24 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install tqdm --upgrade # buildkit
2.39MB 2021-11-12 18:14:22 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install hypothesis==4.50.8 # buildkit
0.00B 2021-11-12 18:14:16 ENV PATH=/opt/conda/bin:/opt/cmake-3.19.3-Linux-$(uname -m)/bin/:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
1.64GB 2021-11-12 18:14:16 RUN |4 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c wget -O ~/miniforge.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-$(uname -m).sh && chmod +x ~/miniforge.sh && ~/miniforge.sh -b -p /opt/conda && rm ~/miniforge.sh && /opt/conda/bin/conda install -y python=$PYVER pip==21.2.4 cmake conda-build numpy pyyaml scipy==1.6.3 ipython ninja spacy mock numba==0.53.1 openblas!=0.3.6 && if [[ $TARGETARCH = "amd64" ]] ; then /opt/conda/bin/conda install -y mkl=2019.5 mkl-include=2019.5 ; fi && /opt/conda/bin/conda clean -ya # buildkit
0.00B 2021-11-12 18:08:39 ARG PYVER=3.8
0.00B 2021-11-12 18:08:39 ENV PATH=/opt/cmake-3.19.3-Linux-$(uname -m)/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
116.62MB 2021-11-12 18:08:39 RUN |3 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 /bin/sh -c curl -L -k -o /opt/cmake-3.19.3-Linux-$(uname -m).tar.gz https://github.com/Kitware/CMake/releases/download/v3.19.3/cmake-3.19.3-Linux-$(uname -m).tar.gz && pushd /opt && tar -xzf cmake-3.19.3-Linux-$(uname -m).tar.gz && rm cmake-3.19.3-Linux-$(uname -m).tar.gz && popd # buildkit
249.02MB 2021-11-12 18:08:33 RUN |3 NVIDIA_PYTORCH_VERSION=21.11 PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends autoconf automake libatlas-base-dev libboost-program-options-dev libgoogle-glog-dev libbz2-dev libleveldb-dev liblmdb-dev libprotobuf-dev libsnappy-dev libtool libjsoncpp-dev nasm protobuf-compiler pkg-config unzip sox libsndfile1 libpng-dev libhdf5-103 libhdf5-dev && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2021-11-12 18:08:33 ARG TARGETARCH
0.00B 2021-11-12 18:08:33 LABEL com.nvidia.pytorch.version=1.11.0a0+b6df043
0.00B 2021-11-12 18:08:33 ENV PYTORCH_BUILD_VERSION=1.11.0a0+b6df043 PYTORCH_VERSION=1.11.0a0+b6df043 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=21.11
0.00B 2021-11-12 18:08:33 ARG PYTORCH_BUILD_VERSION
0.00B 2021-11-12 18:08:33 ARG NVIDIA_PYTORCH_VERSION
0.00B 2021-11-12 18:08:33 ENV NVIDIA_PRODUCT_NAME=PyTorch
0.00B 2021-11-06 04:19:50 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.9.0 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.11.0-rc1 OPENMPI_VERSION=4.1.1 TARGETARCH=amd64 /bin/sh -c if [[ "$CUDA_VERSION" == "11.2.1.007" && $(dpkg --print-architecture) == "amd64" ]]; then wget http://sqrl.nvidia.com/dldata/sgodithi/bug3254800/cicc >/dev/null 2>&1 && cp cicc /usr/local/cuda/nvvm/bin/. ; fi # buildkit
0.00B 2021-11-06 04:19:50 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
648.49MB 2021-11-06 04:19:50 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.9.0 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.11.0-rc1 OPENMPI_VERSION=4.1.1 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0 && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUDA.sh && /nvidia/build-scripts/installLIBS.sh && /nvidia/build-scripts/installNCCL.sh && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installCUTENSOR.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi && rm -f /tmp/cuda-*.patch # buildkit
1.49KB 2021-11-06 04:15:58 COPY cuda-*.patch /tmp # buildkit
0.00B 2021-11-06 04:15:58 ENV OMPI_MCA_coll_hcoll_enable=0
0.00B 2021-11-06 04:15:58 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
173.73MB 2021-11-06 04:15:58 RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.9.0 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.11.0-rc1 OPENMPI_VERSION=4.1.1 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 2021-11-06 04:15:58 ARG TARGETARCH
0.00B 2021-11-06 04:15:58 ENV GDRCOPY_VERSION=2.3 HPCX_VERSION=2.9.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.11.0-rc1 OPENMPI_VERSION=4.1.1 RDMACORE_VERSION=36.0
0.00B 2021-11-06 04:15:58 ARG OPENMPI_VERSION
0.00B 2021-11-06 04:15:58 ARG OPENUCX_VERSION
0.00B 2021-11-06 04:15:58 ARG MOFED_VERSION=5.4-rdmacore36.0
0.00B 2021-11-06 04:15:58 ARG RDMACORE_VERSION
0.00B 2021-11-06 04:15:58 ARG HPCX_VERSION
0.00B 2021-11-06 04:15:58 ARG GDRCOPY_VERSION
102.28MB 2021-11-06 04:15:55 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
144.82KB 2021-11-06 04:00:44 COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
0.00B 2021-11-06 04:00:44 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2021-11-06 04:00:44 ENV NVIDIA_PRODUCT_NAME=CUDA
12.36KB 2021-11-06 04:00:44 COPY entrypoint/ /opt/nvidia/ # buildkit
1.19KB 2021-11-06 04:00:44 COPY /usr/local/bin/checkSMVER.sh /usr/local/bin/checkSMVER.sh # buildkit
624.10KB 2021-11-06 04:00:43 COPY /usr/local/bin/deviceQuery /usr/local/bin/deviceQuery # buildkit
0.00B 2021-11-06 04:00:43 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 2021-11-06 04:00:43 RUN |19 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 NCCL_VERSION=2.11.4+cuda11.4 CUBLAS_VERSION=11.7.3.1 CUFFT_VERSION=10.6.0.54 CURAND_VERSION=10.2.6.48 CUSPARSE_VERSION=11.7.0.31 CUSOLVER_VERSION=11.2.1.48 CUTENSOR_VERSION=1.3.2.3 NPP_VERSION=11.5.1.53 NVJPEG_VERSION=11.5.3.48 CUDNN_VERSION=8.3.0.96 TRT_VERSION=8.0.3.4+cuda11.3.1.005 TRTOSS_VERSION=21.10 NSIGHT_SYSTEMS_VERSION=2021.3.2.4 NSIGHT_COMPUTE_VERSION=2021.3.0.13 DALI_VERSION=1.7.0 DALI_BUILD=3161358 DLPROF_VERSION=21.11 /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 2021-11-06 04:00:43 ADD docs.tgz / # buildkit
0.00B 2021-11-06 04:00:42 ENV DALI_VERSION=1.7.0 DALI_BUILD=3161358 DLPROF_VERSION=21.11
0.00B 2021-11-06 04:00:42 ARG DLPROF_VERSION
0.00B 2021-11-06 04:00:42 ARG DALI_BUILD
0.00B 2021-11-06 04:00:42 ARG DALI_VERSION
0.00B 2021-11-06 04:00:42 LABEL com.nvidia.nccl.version=2.11.4+cuda11.4 com.nvidia.cublas.version=11.7.3.1 com.nvidia.cufft.version=10.6.0.54 com.nvidia.curand.version=10.2.6.48 com.nvidia.cusparse.version=11.7.0.31 com.nvidia.cusolver.version=11.2.1.48 com.nvidia.cutensor.version=1.3.2.3 com.nvidia.npp.version=11.5.1.53 com.nvidia.nvjpeg.version=11.5.3.48 com.nvidia.cudnn.version=8.3.0.96 com.nvidia.tensorrt.version=8.0.3.4+cuda11.3.1.005 com.nvidia.tensorrtoss.version=21.10 com.nvidia.nsightsystems.version=2021.3.2.4 com.nvidia.nsightcompute.version=2021.3.0.13
3.62GB 2021-11-06 04:00:42 RUN |16 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 NCCL_VERSION=2.11.4+cuda11.4 CUBLAS_VERSION=11.7.3.1 CUFFT_VERSION=10.6.0.54 CURAND_VERSION=10.2.6.48 CUSPARSE_VERSION=11.7.0.31 CUSOLVER_VERSION=11.2.1.48 CUTENSOR_VERSION=1.3.2.3 NPP_VERSION=11.5.1.53 NVJPEG_VERSION=11.5.3.48 CUDNN_VERSION=8.3.0.96 TRT_VERSION=8.0.3.4+cuda11.3.1.005 TRTOSS_VERSION=21.10 NSIGHT_SYSTEMS_VERSION=2021.3.2.4 NSIGHT_COMPUTE_VERSION=2021.3.0.13 /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 2021-11-06 03:58:11 ENV NCCL_VERSION=2.11.4+cuda11.4 CUBLAS_VERSION=11.7.3.1 CUFFT_VERSION=10.6.0.54 CURAND_VERSION=10.2.6.48 CUSPARSE_VERSION=11.7.0.31 CUSOLVER_VERSION=11.2.1.48 CUTENSOR_VERSION=1.3.2.3 NPP_VERSION=11.5.1.53 NVJPEG_VERSION=11.5.3.48 CUDNN_VERSION=8.3.0.96 TRT_VERSION=8.0.3.4+cuda11.3.1.005 TRTOSS_VERSION=21.10 NSIGHT_SYSTEMS_VERSION=2021.3.2.4 NSIGHT_COMPUTE_VERSION=2021.3.0.13
0.00B 2021-11-06 03:58:11 ARG NSIGHT_COMPUTE_VERSION
0.00B 2021-11-06 03:58:11 ARG NSIGHT_SYSTEMS_VERSION
0.00B 2021-11-06 03:58:11 ARG TRTOSS_VERSION
0.00B 2021-11-06 03:58:11 ARG TRT_VERSION
0.00B 2021-11-06 03:58:11 ARG CUDNN_VERSION
0.00B 2021-11-06 03:58:11 ARG NVJPEG_VERSION
0.00B 2021-11-06 03:58:11 ARG NPP_VERSION
0.00B 2021-11-06 03:58:11 ARG CUTENSOR_VERSION
0.00B 2021-11-06 03:58:11 ARG CUSOLVER_VERSION
0.00B 2021-11-06 03:58:11 ARG CUSPARSE_VERSION
0.00B 2021-11-06 03:58:11 ARG CURAND_VERSION
0.00B 2021-11-06 03:58:11 ARG CUFFT_VERSION
0.00B 2021-11-06 03:58:11 ARG CUBLAS_VERSION
0.00B 2021-11-06 03:58:11 ARG NCCL_VERSION
0.00B 2021-11-06 03:58:11 LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
0.00B 2021-11-06 03:58:11 ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc NVIDIA_REQUIRE_CUDA=cuda>=9.0
2.40KB 2021-11-06 03:58:11 RUN |2 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 /bin/sh -c patch -p0 < /tmp/startup_scripts.patch && rm -f /tmp/startup_scripts.patch && ln -sf /.singularity.d/libs /usr/local/lib/singularity && ln -sf sh-wrap /bin/sh # buildkit
318.00B 2021-11-06 03:58:10 COPY singularity /.singularity.d # buildkit
385.00B 2021-11-06 03:58:10 COPY cudaCheck/startup_scripts.patch /tmp # buildkit
2.28KB 2021-11-06 03:58:10 COPY cudaCheck/shinit_v2 /etc/shinit_v2 # buildkit
0.00B 2021-11-06 03:58:09 RUN |2 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 /bin/sh -c rm -rf /tmp/cudaCheck # buildkit
17.32KB 2021-11-06 03:58:09 RUN |2 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 /bin/sh -c cp /tmp/cudaCheck/$(uname -m)/cudaCheck /usr/local/bin/ # buildkit
8.44KB 2021-11-06 03:58:09 RUN |2 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 /bin/sh -c cp /tmp/cudaCheck/$(uname -m)/sh-wrap /bin/sh-wrap # buildkit
91.10KB 2021-11-06 03:58:08 COPY cudaCheck /tmp/cudaCheck # buildkit
229.96MB 2021-11-06 03:58:08 RUN |2 CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
0.00B 2021-11-06 03:58:08 ENV CUDA_VERSION=11.5.0.029 CUDA_DRIVER_VERSION=495.29.05 CUDA_CACHE_DISABLE=1
0.00B 2021-11-06 03:58:08 ARG CUDA_DRIVER_VERSION
0.00B 2021-11-06 03:58:08 ARG CUDA_VERSION
247.76MB 2021-11-06 03:57:53 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 jq gnupg libtcmalloc-minimal4 && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2021-10-16 08:37:47 /bin/sh -c #(nop) CMD ["bash"]
72.78MB 2021-10-16 08:37:47 /bin/sh -c #(nop) ADD file:5d68d27cc15a80653c93d3a0b262a28112d47a46326ff5fc2dfbf7fa3b9a0ce8 in /

镜像信息 

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        "ExposedPorts": {
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            "8888/tcp": {}
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/bin:/opt/cmake-3.19.3-Linux-$(uname -m)/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=11.5.0.029",
            "CUDA_DRIVER_VERSION=495.29.05",
            "CUDA_CACHE_DISABLE=1",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.11.4+cuda11.4",
            "CUBLAS_VERSION=11.7.3.1",
            "CUFFT_VERSION=10.6.0.54",
            "CURAND_VERSION=10.2.6.48",
            "CUSPARSE_VERSION=11.7.0.31",
            "CUSOLVER_VERSION=11.2.1.48",
            "CUTENSOR_VERSION=1.3.2.3",
            "NPP_VERSION=11.5.1.53",
            "NVJPEG_VERSION=11.5.3.48",
            "CUDNN_VERSION=8.3.0.96",
            "TRT_VERSION=8.0.3.4+cuda11.3.1.005",
            "TRTOSS_VERSION=21.10",
            "NSIGHT_SYSTEMS_VERSION=2021.3.2.4",
            "NSIGHT_COMPUTE_VERSION=2021.3.0.13",
            "DALI_VERSION=1.7.0",
            "DALI_BUILD=3161358",
            "DLPROF_VERSION=21.11",
            "LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-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=2.9.0",
            "MOFED_VERSION=5.4-rdmacore36.0",
            "OPENUCX_VERSION=1.11.0-rc1",
            "OPENMPI_VERSION=4.1.1",
            "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=1.11.0a0+b6df043",
            "PYTORCH_VERSION=1.11.0a0+b6df043",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=21.11",
            "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+PTX",
            "CUDA_HOME=/usr/local/cuda",
            "COCOAPI_VERSION=2.0+nv0.5.1",
            "PYTHONIOENCODING=utf-8",
            "LC_ALL=C.UTF-8",
            "NVIDIA_BUILD_ID=29224839"
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            "com.nvidia.cutensor.version": "1.3.2.3",
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            "com.nvidia.nsightsystems.version": "2021.3.2.4",
            "com.nvidia.nvjpeg.version": "11.5.3.48",
            "com.nvidia.pytorch.version": "1.11.0a0+b6df043",
            "com.nvidia.tensorrt.version": "8.0.3.4+cuda11.3.1.005",
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    "Metadata": {
        "LastTagTime": "2024-10-22T10:22:47.169808135+08:00"
    }
}

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