Useful or not, from you.
waveglow How to train new Waveglow model for diffirent language?

As the title, I would like to know how to train a new model using another dataset, which have the same structure as LJ Speech dataset. What modifications need to be done for a diffirent language?

That's a useful answer
Without any help

Unable to run train.py : File "train.py", line 188, in <module> train(num_gpus, args.rank, args.group_name, **train_config) File "train.py", line 90, in train optimizer) File "train.py", line 45, in load_checkpoint optimizer.load_state_dict(checkpoint_dict['optimizer']) File "C:\Python37\lib\site-packages\torch\optim\optimizer.py", line 124, in load_state_dict raise ValueError("loaded state dict contains a parameter group " ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group

Can you help me, please?