@gnikodim gnikodim released this Oct 19, 2018 · 95 commits to master since this release

Assets 2

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

@gnikodim gnikodim released this Sep 17, 2018 · 124 commits to master since this release

Assets 2

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

Pre-release

@antonbaliasnikov antonbaliasnikov released this Aug 24, 2018 · 156 commits to master since this release

Assets 2

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.

Assets 2

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

Assets 2

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

Apr 4, 2018
test_multibox_loss_layer: all error fixed!
Mar 29, 2018
Disabled OpenCV 3.x support by default
Mar 19, 2018
Disable the GPU-only test for Synopsys Caffe 2018.03 RC1.

@gnikodim gnikodim released this Feb 8, 2018 · 454 commits to master since this release

Assets 2

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
  • DenseNet support
    • Merge of DenseNet branch into common repository
    • Addition of ceil_mode support for pooling
Feb 8, 2018

v1.0

Match configuration with EV requirements