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Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
Container
Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.

LayerLabelCreated
81d755d7cbbe41afdb77ccf787293bf0f39f979c10d9c481390789df1be320e6CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace
09/15/2020 4:21 AM UTC
0cb0ba1261058791db3e63b0a6e4776e8848f50a018dace28833a2a3c31736b1ARG
NVIDIA_BUILD_REF
09/15/2020 4:21 AM UTC
fc5b2b68beafa10ac24975616c0fcc0373ef12713935d4d563076b4bc0ac39d0LABEL
com.nvidia.build.id=16068190
09/15/2020 4:21 AM UTC
2392596cc4cf9c207371a72a678b5971c9678e94cf9da1773c239fec903608f9ENV
NVIDIA_BUILD_ID=16068190
09/15/2020 4:21 AM UTC
d357cfa13bc01617babd6309315170af3d3b82573ce5a8f68c92c91a3fcbc64dARG
NVIDIA_BUILD_ID
09/15/2020 4:21 AM UTC
dcd0a5a114e824d89e9322af1074d107810e4001c86f339120e79bcddeebcd84ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
09/15/2020 4:21 AM UTC
a92f93c7a0af9c9587fa4365d9f912882a605a1e9d6f6c29bf431c17181eaf92COPY
nvidia_entrypoint.sh /usr/local/bin
09/15/2020 4:21 AM UTC
9ea24e0eee4ba55c00bae074fe4ba37cc9e4ffb623522b3fadfbdd398f7a54b0RUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.09 PYVER=3.6 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
09/15/2020 4:21 AM UTC
074ce1cd0ff14221a2726bc83a47ce1d03c6b50208c2543dc74f1cc434840b2bRUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.09 PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
09/15/2020 4:21 AM UTC
5fe808fb59b8d6329711ec434cf6104a5133de8d231083b3dd41efa86a1a406aRUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.09 PYVER=3.6 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
09/15/2020 4:21 AM UTC
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