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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
502300b9f6f5bb735bf7b14b8a7cb0606c4b06995deb5952793cd5bce3ef650bCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace
12/19/2019 12:04 AM UTC
4a5ef6758618a8fcd39df9450ad20baa862bae296bf03fa5da9e5a6b87ccabc4ARG
NVIDIA_BUILD_REF
12/19/2019 12:04 AM UTC
90cf95d1d9394c5c3d8aec627fb3dc2ff4af8e19c4284ab215b5297411ea3ca0LABEL
com.nvidia.build.id=9297039
12/19/2019 12:04 AM UTC
0b7adc740636c13d0ccd012501ac5196f44bf9d326f9cb42c7f2e2e2778e6700ENV
NVIDIA_BUILD_ID=9297039
12/19/2019 12:04 AM UTC
092e26e6020fa71ed09fa2388f88068290d16eb6c5b2dd345c2c59afbc8657b7ARG
NVIDIA_BUILD_ID
12/19/2019 12:04 AM UTC
12ade5d52cc0599f9d5a06d787f4e4c001cb49944d35cb2cf2a6f5cc51469a4aENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
12/19/2019 12:04 AM UTC
b0d4c9b0fe5de0714a9bfdf760e7af3511ea6f7b7d87e3d11f0950093bb926c2COPY
nvidia_entrypoint.sh /usr/local/bin
12/19/2019 12:04 AM UTC
c5dab298c5899497fdb042c003b830e40ab041e40485f1d990e01ab0a900a895RUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=19.12 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
12/19/2019 12:03 AM UTC
02cf1f4b76a6aa1bbaadc2e9845dcfd875dfc0f1ff2ed965ce77eb833c125272RUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=19.12 PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
12/19/2019 12:03 AM UTC
e0b1d49a88752f3c1f119c57a8e2fa18a9bbf3852ca5f75b51828d88efcda8f7RUN
MXNET_VERSION=1.5.1 NVIDIA_MXNET_VERSION=19.12 PYVER=3.6 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
12/19/2019 12:03 AM UTC
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