forked from mrq/DL-Art-School
19 lines
672 B
Python
19 lines
672 B
Python
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from torch import nn
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class Tacotron2Loss(nn.Module):
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def __init__(self):
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super(Tacotron2Loss, self).__init__()
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def forward(self, model_output, targets):
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mel_target, gate_target = targets[0], targets[1]
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mel_target.requires_grad = False
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gate_target.requires_grad = False
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gate_target = gate_target.view(-1, 1)
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mel_out, mel_out_postnet, gate_out, _ = model_output
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gate_out = gate_out.view(-1, 1)
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mel_loss = nn.MSELoss()(mel_out, mel_target) + \
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nn.MSELoss()(mel_out_postnet, mel_target)
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gate_loss = nn.BCEWithLogitsLoss()(gate_out, gate_target)
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return mel_loss + gate_loss
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