Hi, i want to accelerate Deepspeech2 (CNN+RNN+FC) with TRT5, and i have some questions:
- I found RNN layers in TRT only support tensorflow model, is it right? If so, is it necessary to train the network with tensorflow again?
- I read the CharRNN sample and it need to dump TF weights, create RNN layers with parameters, convert TF weights to TRT weights and other things, which is completely different from directly converting a CNN model by parsing the model and converting to TRT engine with several APIs. So I wonder if it is necessary to convert the RNN network like this， which seems like complex？
- Since the input shapes of CNN and RNN are different, can i build the network (CNN+RNN) in one TRT engine or two separate engines? And how can I implement it?
Thanks a lot.