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fix https://github.com/RVC-Boss/GPT-SoVITS/issues/2250

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fix https://github.com/RVC-Boss/GPT-SoVITS/issues/2250
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RVC-Boss 2025-04-01 10:34:02 +08:00 committed by GitHub
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commit 28bdff356f
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1 changed files with 19 additions and 20 deletions
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GPT_SoVITS/s2_train.py
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@ -429,26 +429,25 @@ def train_and_evaluate(
# scalar_dict.update({"loss/g/{}".format(i): v for i, v in enumerate(losses_gen)}) # scalar_dict.update({"loss/g/{}".format(i): v for i, v in enumerate(losses_gen)})
# scalar_dict.update({"loss/d_r/{}".format(i): v for i, v in enumerate(losses_disc_r)}) # scalar_dict.update({"loss/d_r/{}".format(i): v for i, v in enumerate(losses_disc_r)})
# scalar_dict.update({"loss/d_g/{}".format(i): v for i, v in enumerate(losses_disc_g)}) # scalar_dict.update({"loss/d_g/{}".format(i): v for i, v in enumerate(losses_disc_g)})
image_dict = { image_dict=None
"slice/mel_org": utils.plot_spectrogram_to_numpy( try:###Some people installed the wrong version of matplotlib.
y_mel[0].data.cpu().numpy() image_dict = {
), "slice/mel_org": utils.plot_spectrogram_to_numpy(
"slice/mel_gen": utils.plot_spectrogram_to_numpy( y_mel[0].data.cpu().numpy()
y_hat_mel[0].data.cpu().numpy() ),
), "slice/mel_gen": utils.plot_spectrogram_to_numpy(
"all/mel": utils.plot_spectrogram_to_numpy( y_hat_mel[0].data.cpu().numpy()
mel[0].data.cpu().numpy() ),
), "all/mel": utils.plot_spectrogram_to_numpy(
"all/stats_ssl": utils.plot_spectrogram_to_numpy( mel[0].data.cpu().numpy()
stats_ssl[0].data.cpu().numpy() ),
), "all/stats_ssl": utils.plot_spectrogram_to_numpy(
} stats_ssl[0].data.cpu().numpy()
utils.summarize( ),
writer=writer, }
global_step=global_step, except:pass
images=image_dict, if image_dict:utils.summarize(writer=writer,global_step=global_step,images=image_dict,scalars=scalar_dict,)
scalars=scalar_dict, else:utils.summarize(writer=writer,global_step=global_step,scalars=scalar_dict,)
)
global_step += 1 global_step += 1
if epoch % hps.train.save_every_epoch == 0 and rank == 0: if epoch % hps.train.save_every_epoch == 0 and rank == 0:
if hps.train.if_save_latest == 0: if hps.train.if_save_latest == 0: