mirror of https://github.com/coqui-ai/TTS.git
vocoder train.py update
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@ -124,6 +124,7 @@ def train(model_G, criterion_G, optimizer_G, model_D, criterion_D, optimizer_D,
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y_hat_vis = y_hat
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y_G_sub = model_G.pqmf_analysis(y_G)
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scores_fake, feats_fake, feats_real = None, None, None
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if global_step > c.steps_to_start_discriminator:
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# run D with or without cond. features
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@ -146,8 +147,6 @@ def train(model_G, criterion_G, optimizer_G, model_D, criterion_D, optimizer_D,
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_, feats_real = D_out_real
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else:
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scores_fake = D_out_fake
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else:
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scores_fake, feats_fake, feats_real = None, None, None
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# compute losses
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loss_G_dict = criterion_G(y_hat, y_G, scores_fake, feats_fake,
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@ -328,6 +327,7 @@ def evaluate(model_G, criterion_G, model_D, criterion_D, ap, global_step, epoch)
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y_G_sub = model_G.pqmf_analysis(y_G)
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scores_fake, feats_fake, feats_real = None, None, None
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if global_step > c.steps_to_start_discriminator:
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if len(signature(model_D.forward).parameters) == 2:
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@ -349,8 +349,7 @@ def evaluate(model_G, criterion_G, model_D, criterion_D, ap, global_step, epoch)
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_, feats_real = D_out_real
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else:
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scores_fake = D_out_fake
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else:
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scores_fake, feats_fake, feats_real = None, None, None
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feats_fake, feats_real = None, None
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# compute losses
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loss_G_dict = criterion_G(y_hat, y_G, scores_fake, feats_fake,
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