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train.py
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train.py
@ -245,7 +245,7 @@ def train_and_evaluate(rank, epoch, hps, nets, optims, schedulers, scaler, loade
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}
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if net_g.module.use_automatic_f0_prediction:
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image_dict.module.update({
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image_dict.update({
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"all/lf0": utils.plot_data_to_numpy(lf0[0, 0, :].cpu().numpy(),
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pred_lf0[0, 0, :].detach().cpu().numpy()),
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"all/norm_lf0": utils.plot_data_to_numpy(lf0[0, 0, :].cpu().numpy(),
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