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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
2f2cc40fff81ecc21e89f0383dd87c07ea1bdf1ad19df7d8b7947209e5d518f7CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace
07/01/2020 8:36 AM UTC
bbf3f134c89ecc602ed35de00bab96fe250a4d3056149164ab01004364bfb3e4ARG
NVIDIA_BUILD_REF
07/01/2020 8:36 AM UTC
a7b717f2f2a1252afc310f3026cfaf27499552c670c89b3d24548069917c4c0dLABEL
com.nvidia.build.id=14443231
07/01/2020 8:36 AM UTC
dfdf599a6423c825c939ca105f1e72fc493236081971318966e135be7b05fa7aENV
NVIDIA_BUILD_ID=14443231
07/01/2020 8:36 AM UTC
9d7a297f02b30b74f813d334edaf17a514145fff0cc82b47e60402cf3216d86cARG
NVIDIA_BUILD_ID
07/01/2020 8:36 AM UTC
a8df00808b14f1f696b6a280bcf6cedd7a9f1d1bfb95d2b5f680244e786ba4bcENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
07/01/2020 8:36 AM UTC
48f56862d39048205bcbf01cc2314f82ecd063461b072ffd00dcf64453773497COPY
nvidia_entrypoint.sh /usr/local/bin
07/01/2020 8:36 AM UTC
ddefe1cc222c44db7576a458845fd214240f43799de3e21749c32ca9346de417RUN
MXNET_VERSION=1.6.0 NVIDIA_MXNET_VERSION=20.07 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
07/01/2020 8:36 AM UTC
bcf1d07cc59b6f3df9162ebc51682750bb6c26f46df62c89a37c8c143277b011RUN
MXNET_VERSION=1.6.0 NVIDIA_MXNET_VERSION=20.07 PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
07/01/2020 8:36 AM UTC
594b0bd508547479b4fda1252080b24c9973c84ec2b2c4cb38b553652b489acdRUN
MXNET_VERSION=1.6.0 NVIDIA_MXNET_VERSION=20.07 PYVER=3.6 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
07/01/2020 8:36 AM UTC
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