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Pre-release

@vera121 vera121 released this Dec 18, 2020

This is release R-2020.12-RC2 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 R-2020.12, from Synopsys.

New Features in this Release:

  • evconvert enhancement: Added 5 new C++ layers and refined 2 existing layers to better support TensorFlow and ONNX models conversion
  • Refined RNNv2 layer for bidirectional LSTM support
  • Updated python package dependency list

Full details see: FEATURES.md

Assets 2
Dec 18, 2020
Update FEATURES.md

@vera121 vera121 released this Sep 29, 2020 · 20 commits to master since this release

This is release 2020.09 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 v2020.09, from Synopsys.

New Features in this Release:

  • evconvert enhancement: Added 5 new C++ layers and refined 4 existing layers to better support TensorFlow and ONNX models conversion
  • Implemented RNNv2 layer, and refined support for LSTM
  • Updated python scripts to make them compatible with python3

Full details see: FEATURES.md

Assets 2
Sep 28, 2020
fix bug in reverse (backward) direction of RNNv2
Pre-release

@vera121 vera121 released this Sep 2, 2020 · 35 commits to master since this release

This is release 2020.09-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 v2020.09, from Synopsys.

New Features in this Release:

  • evconvert enhancement: Added a new C++ layers and refined 4 existing layers to better support TensorFlow and ONNX models conversion
  • Updated python scripts to make them compatible with python3

Full details see: FEATURES.md

Assets 2
  • v2020.06
  • 31c3c62
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  • v2020.06
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@vera121 vera121 released this Jun 30, 2020 · 44 commits to master since this release

This is release 2020.06-RC2 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 v2020.06, from Synopsys.

New Features in this Release:

  • evconvert general enhancement: Added 6 new C++ layers and refined parameters for 4 existing layers to better support TensorFlow and ONNX models conversion
  • Provided support for public MaskRCNN model conversion originated from keras version
  • Fixed issues for build and AppVeyor verification on Windows platform

Full details see: FEATURES.md

Assets 2
Jun 30, 2020
Update FEATURES.md
  • v2020.03
  • 31c3c62
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  • v2020.03
  • 31c3c62
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@vera121 vera121 released this Mar 27, 2020 · 44 commits to master since this release

This is release 2020.03-RC2 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 v2020.03, from Synopsys.

New Features in this Release:

  • evconvert enhancement: Added 4 new C++ layers and 5 new parameters for existing layers to support TensorFlow and ONNX models conversion
  • Added more types of Activations to better support RNN/LSTM/GRU models

Full details see: FEATURES.md

Assets 2
Pre-release

@vera121 vera121 released this Jun 3, 2020 · 47 commits to master since this release

This is release 2020.06-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 v2020.06, from Synopsys.

New Features in this Release:

  • evconvert enhancement: Added 4 new C++ layers and refined parameters for 4 existing layers to better support TensorFlow and ONNX models conversion
  • Provided support for public MaskRCNN model originated from keras version
  • Fixed issues for build and AppVeyor verification on Windows platform

Full details see: FEATURES.md

Assets 2
Mar 27, 2020
try to fix the appveyor error fox py3.5 six missing