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

Caffe Framework for DesignWare EV Processors, v2018.09-ENG-180824

This is release v2018.09-ENG-180824 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 v2018.06, from Synopsys.

Caffe Framework for DesignWare EV Processors, v2018.06

This is release 2018.06 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 v2018.06, from Synopsys.

New Features in this Release:

• Support for FlowNet series
• Support of SRGAN
• Support of Yolo v2
• Support of ICNet
• Network Pruning tool support
• Synchronization of the code base with latest BVLC Caffe

Full details see: FEATURES.md

Caffe Framework for DesignWare EV Processors, v2018.03

This is release 2018.03 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 v2018.03, from Synopsys.

New Features in this Release:

• SSD suppport update
• Faster-RCNN support
• SegNet support
• Support for MobileNet series

Full details see: FEATURES.md

Caffe Framework for DesignWare EV Processors, v2017.12

This is release 2017.12 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 v2017.12, from Synopsys.

Synopsys Caffe Features

• SSD support
  • Merge of SSD branch into common repository
• DenseNet support
  • Merge of DenseNet branch into common repository
  • Addition of ceil_mode support for pooling