Caffe Framework for DesignWare EV Processors, R-2021.03

This is release R-2021.03 of Synopsys-caffe, a modified version of the popular Caffe Deep Learning framework adapted for use with DesignWare EV Family of Processors.

Synopsys-caffe is meant to be used together with synopsys-caffe-models and the MetaWare EV Development Toolkit R-2021.03, from Synopsys.

New Features in this Release:

• evconvert enhancement: Added 6 new C++ layers and refined 3 existing layers to better support TensorFlow/Keras/ONNX/Pytorch models conversion
• Updated proposal and detection_output layers to enhance integration with EV mapping tools

Full details see: FEATURES.md

Caffe Framework for DesignWare EV Processors, R-2020.12

This is release R-2020.12 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 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

Caffe Framework for DesignWare EV Processors, v2020.09

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

Caffe Framework for DesignWare EV Processors, v2020.09-RC1

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

Caffe Framework for DesignWare EV Processors, v2020.06

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

Caffe Framework for DesignWare EV Processors, v2020.03

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

Caffe Framework for DesignWare EV Processors, v2020.06-RC1

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

Caffe Framework for DesignWare EV Processors, v2020.03-RC1

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

New Features in this Release:

• evconvert enhancement: Added 3 new C++ layers and 2 new parameters for existing layers to support TensorFlow and ONNX models conversion
• Added more types of Activation layers to better support RNN/LSTM models

Full details see: FEATURES.md

Caffe Framework for DesignWare EV Processors, v2019.12-RC1

This is release 2019.12-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 v2019.12, from Synopsys.

New Features in this Release:

• evconvert enhancement: Add 10+ new C++ layers to support TensorFlow and ONNX models conversion
• Better support for RNN/LSTM/GRU related layers
• Refinements for the dependent python packages update and python3 support

Full details see: FEATURES.md

Caffe Framework for DesignWare EV Processors, v2019.09-SP1

This is release 2019.09-SP1 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 v2019.09, from Synopsys.

New Features in this Release:

• evconvert enhancement: Add new layer Rank in python and refined Pad/MirrorPad layers to support more TensorFlow and ONNX models conversion
• Updated the guideline for detailed environment setting and building process for Ubuntu platform

Full details see: FEATURES.md