optimizer further by using fake-quantize aware and pruning about tensorflowtts HOT 9 CLOSED

@gongchenghhu hi, it's not ez to convert Tacotron2 to tflite, need to write custom C++ ops. Even you can convert and run it on low-device, it's still cann't run real time :(. I suggest you use FastSpeech instead. For fake-quantize aware and pruning, you can refer official doc here (https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide). I don't really know how much tensorflow support fake-quantize and pruning for LSTM, but if model is just consist of Convolution, everything would be ok, i think. BTW, how was a quality of ur tacotron ?

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@dathudeptrai Thanks for your reply. I will try the fake-quantize aware and pruning (https://www.tensorflow.org/model_optimization/guide/quantization/training_comprehensive_guide)

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@gongchenghhu @dathudeptrai i am also trying to convert fastspeech model to Tflite and it is crashing in length regulator

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@gongchenghhu @dathudeptrai you can follow this issue for TFLite conversion, tensorflow/tensorflow#40504 , can you also tell help me with this ?

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@manmay-nakhashi ok, I will see your issue.

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@gongchenghhu @manmay-nakhashi sorry :)). Hope Tensorflower can help you in this case :D

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@dathudeptrai haha :P

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@gongchenghhu i was able to convert melgan to tflite , i think we can try to convert Fastspeeh2 to tflite , structurally model code seems to be easier then tacotron2 and fastspeech
@dathudeptrai do you think that would be good addition to repo ?

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@manmay-nakhashi Could it be possible for you to share how you managed to convert melgan to tflite? Is the tflite model capable of inferencing?

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