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Caffe Framework for DesignWare EV Processors, v2018.12-RC1

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@vera121 vera121 released this 16 Dec 04:58
· 679 commits to master since this release
v2018.12-RC1
caa46d4

This is release 2018.12-RC1 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 v2018.12, from Synopsys.

New Features in this Release:

  • Semi-annual update with BVLC Caffe, synchronized to its latest commit 99bd997
  • Yolo v2 and v3: upsample_darknet_layer added, training support provided
  • evconvert: added depthtospace_layer and several customized python layers to support TensorFlow model conversion
  • evquantize: more scaling parameters and saturate operations added for CUDA implementation in several layers

Full details see: FEATURES.md

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