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capacitron's Issues

LR Scheduler Bug when continuing training

Traceback (most recent call last):
  File "./TTS/bin/train_tacotron.py", line 909, in <module>
    main(args)
  File "./TTS/bin/train_tacotron.py", line 830, in main
    scheduler = StepwiseGradualLR(optimizer,
  File "/home/julian/workspace/Capacitron/TTS/utils/training.py", line 108, in __init__
    super(StepwiseGradualLR, self).__init__(optimizer, last_epoch)
  File "/home/julian/miniconda3/envs/TTS/lib/python3.8/site-packages/torch/optim/lr_scheduler.py", line 39, in __init__
    raise KeyError("param 'initial_lr' is not specified "
KeyError: "param 'initial_lr' is not specified in param_groups[0] when resuming an optimizer"

Model only partially restoring when training is continued

Also when I continue the training (I want to go from r=7 to r=3), I get these logs:

 > Restoring from best_model.pth.tar...
 > Restoring Model...
 > Partial model initialization...
 | > 248 / 251 layers are restored.
 > Model restored from step 65919

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