Caffe Framework for DesignWare EV Processors, v2018.09-RC1

This is release 2018.09-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 v2018.09, from Synopsys.

New Features in this Release:

• Refinement for asymmetric padding (pad_l, pad_r, pad_t and pad_b) and other evconvert-related features
• Patches for evprune support
• Support for Yolov2 testing and training features
• Inference acceleration features (only for GPU CUDA implementation)
• Support refinement for Flownet2 (Dispnet) patches

Full details see: FEATURES.md