Confused - Is Fastpitch 2 the Fastpitch model in the NGC catalogue?
So i found this example from nvidia:

https://pytorch.org/hub/nvidia_deeplearningexamples_fastpitch/

I reimplemented it in my environment, but I am little confused, because the title says "Fastpitch 2". Is this the same as the Fastpitch models in the NGC catalogue (for example this: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_es_multispeaker_fastpitchhifigan) architecture wise?

There is also this model for riva which is called Fastpitch 1.1: https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/speechsynthesis_english_fastpitch

Beside multiple speakers and language I do not understand what the difference between this models is (Except riva being faster of course). Can someone elaborate this naming convention. Should I use the Fastpitch 2 model from the example and retrain it for my purposes to get the best performance or are the fine tuned models in the NGC catalogue already fastpitch2 models?