Closed vvolhejn closed 2 years ago
framework-wise, I would go for Tensorflow because a) optimization (quantization+pruning) seems to be mature https://www.tensorflow.org/lite/performance/post_training_integer_quant whereas Pytorch still calls quantization beta https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html b) the DDSP library https://github.com/magenta/ddsp which the original model is based on uses TF as well
Also there is TFLite.
Tensorflow seems to be the way to go, but it is a bit sad because most other implementations apart from DDSP use PyTorch.
framework-wise, I would go for Tensorflow because a) optimization (quantization+pruning) seems to be mature https://www.tensorflow.org/lite/performance/post_training_integer_quant whereas Pytorch still calls quantization beta https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html b) the DDSP library https://github.com/magenta/ddsp which the original model is based on uses TF as well
Also there is TFLite.