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Re: GSOC 2020 Idea Discussion


From: Benson Muite
Subject: Re: GSOC 2020 Idea Discussion
Date: Tue, 25 Feb 2020 10:56:35 +0300
User-agent: Cyrus-JMAP/3.1.7-947-gbed3ff6-fmstable-20200220v2

Backends may change and are architecture specific, some backends are:
1) MKLDNN https://github.com/intel/mkl-dnn
2) MLOpen https://rocm.github.io/miopen.html
3) CuDNN https://developer.nvidia.com/cudnn
4) Arm NN https://www.arm.com/products/silicon-ip-cpu/machine-learning/arm-nn
Maybe challenging to support all of these.

Might it be possible to import and export models in ONNX (https://onnx.ai/) format? In cases where one needs very high performance in the training phase, one can use an optimized library. Are developers of the libraries you are considering to integrate supportive?

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