Quantization-aware training

[AUzpa]

Hello,

Is there a way to give X-CUBE-AI a model with quantized-weights? Right now the tool is able to do a custom post-training quantization for a given Keras model. However, what if we have a model that already has quantized weights (which is the case when we do a quantization-aware training with Tensorflow Lite for example)? Is there any solution/workaround to make use of "quantization-aware weights"?

Thank you and kind regards

[fauvarque.daniel]

Not in the X-Cube-AI 4.0.0 release, we only support TFLite in floating point.

The next release in mid Q4 will add the support of quantized TFLite networks.

Regards

Daniel