Major Features
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qtools energy support for global_average_pooling layer.
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Added layers for sequence model, LSTM, RNN, GRU.
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Added activation and weight compression notebook.
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Added QSeparableConv2D class
- Renamed previous QSeparableConv2D layer to QMobileNetSeparableConv2D
- It is more consistent with Keras SeparableConv2D API
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Bugfix of QDepthwiseConv2D.
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Added an experimental QAdaptiveActivation layer to learn quantizer integer bits from activation values.
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Added weight sparsity calculation to model qstats.
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Enabled AutoQKeras to use custom Keras Tuners.
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Fixed various bugs in AutoQKeras.
Thanks to our contributors
This release contains contributions from many people at Google and CERN.