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Caffe Framework for DesignWare EV Processors, v2018.09

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@gnikodim gnikodim released this 19 Oct 13:28
· 794 commits to master since this release
v2018.09-RC2
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This is release 2018.09 of Synopsys-caffe, a modified version of the popular Caffe Deep Learning framework adapted for use with DesignWare EV6x Processors.

Synopsys-caffe is meant to be used together with synopsys-caffe-models and the MetaWare EV Development Toolkit v2018.09, from Synopsys.

New Features in this Release:

  • evconvert: Refinement for asymmetric padding (pad_l, pad_r, pad_t and pad_b) and other related features
  • added several customized python layers to support TensorFlow model conversion
  • Patches for evprune support
  • Support for Yolo_v2 and Yolo_v3 testing and training features
  • evquantize: (evgencnn Inference acceleration) related parameters added for CUDA implementation
  • Support refinement for Flownet2 (Dispnet) patches

Full details see: FEATURES.md

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