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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
19767aec5ef90b2e379dfc3b7aa59759acb3035f0c3578a0cd10e4b48fc301e9CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace
09/26/2020 8:46 PM UTC
31e350aac0364509c38e7f19cb32ee91b8cab8fc05a5036da91bdf5c099c2e6aARG
NVIDIA_BUILD_REF
09/26/2020 8:46 PM UTC
473e6847b0155aff51f9c500b69ed9c79a133051c8b479142c7bfccb0f9450abLABEL
com.nvidia.build.id=16340014
09/26/2020 8:46 PM UTC
e47312205a774156e57303f0d6baffd49440f48f1c4a7b36d17973950b6192feENV
NVIDIA_BUILD_ID=16340014
09/26/2020 8:46 PM UTC
8d3cbe94df9c9b3fcd9767b8c9336e95953acaacf5350489e950196cebe70148ARG
NVIDIA_BUILD_ID
09/26/2020 8:46 PM UTC
6221d723015fe49af0bf9bc9bd096f4455d4f16f878b4513469f65eb774528a3ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
09/26/2020 8:46 PM UTC
3192de1c510bd25c0939f23c2e5311fb82f15899784a74dc5cedc51c7f04ba21COPY
nvidia_entrypoint.sh /usr/local/bin
09/26/2020 8:46 PM UTC
b83bc2c106c2e58e3fd267bceb2332dd54cd7a9cbfaf3da795c6fca6cad35480RUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.10 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
09/26/2020 8:46 PM UTC
3634ea26bb9472ada6d1b0207816c89dde070bd89ec83bd99f65968aa7e3f012RUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.10 PYVER=3.6 cp /opt/mxnet/tests/python/tensorrt/test_tensorrt_lenet5.py /workspace/examples/tensorrt-integration/
09/26/2020 8:46 PM UTC
653e6222784e4acea904df1a209f70b727c3aafce30bb8e4ff8c0c9a0a70cd19RUN
MXNET_VERSION=1.7.0 NVIDIA_MXNET_VERSION=20.10 PYVER=3.6 ln -s /opt/mxnet/docs/api/python/contrib/onnx.md /workspace/examples/
09/26/2020 8:46 PM UTC
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