DeepLearningExamples/PyTorch/SpeechSynthesis/Tacotron2/loss_functions.py

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import torch
import torch.nn as nn
from tacotron2.loss_function import Tacotron2Loss
from waveglow.loss_function import WaveGlowLoss


def get_loss_function(loss_function, sigma=1.0):
    if loss_function == 'Tacotron2':
        loss = Tacotron2Loss()
    elif loss_function == 'WaveGlow':
        loss = WaveGlowLoss(sigma=sigma)
    else:
        raise NotImplementedError(
            "unknown loss function requested: {}".format(loss_function))

    loss.cuda()
    return loss