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Fix mel_spectogram for newer pytorch versions #2

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Fix mel_spectogram for newer pytorch versions #2

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8ac74c4
mel_spectorgram() update for latest pytorch release
TheDevloper2023 Jul 11, 2025
7b3500a
update meldataset.py
TheDevloper2023 Jul 12, 2025
456e372
Update train.py
TheDevloper2023 Jul 29, 2025
478a7f4
Fix mel_spectogram for newer pytorch
TheDevloper2023 Dec 10, 2025
33beb7d
Merge branch 'master' into patch-1
TheDevloper2023 Dec 17, 2025
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4 changes: 2 additions & 2 deletions meldataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,9 +62,9 @@ def mel_spectrogram(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin,
y = y.squeeze(1)

spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[str(y.device)],
center=center, pad_mode='reflect', normalized=False, onesided=True)
center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=True)

spec = torch.sqrt(spec.pow(2).sum(-1)+(1e-9))
spec = torch.abs(spec)

spec = torch.matmul(mel_basis[str(fmax)+'_'+str(y.device)], spec)
spec = spectral_normalize_torch(spec)
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6 changes: 5 additions & 1 deletion train.py
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Expand Up @@ -119,7 +119,11 @@ def train(rank, a, h, warm_start):
if h.num_gpus > 1:
train_sampler.set_epoch(epoch)

for i, batch in enumerate(train_loader):
processedData = []
for batch in train_loader:
processedData.append(batch)

for i, batch in enumerate(processedData):
if rank == 0:
start_b = time.time()
x, y, _, y_mel = batch
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