mirror of https://github.com/coqui-ai/TTS.git
Fix warning
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724360d71a
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@ -131,9 +131,8 @@ def wav_to_spec(y, n_fft, hop_length, win_length, center=False):
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pad_mode="reflect",
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normalized=False,
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onesided=True,
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return_complex=False,
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)
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spec = torch.view_as_real(spec)
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spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
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return spec
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@ -199,7 +198,6 @@ def wav_to_mel(y, n_fft, num_mels, sample_rate, hop_length, win_length, fmin, fm
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pad_mode="reflect",
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normalized=False,
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onesided=True,
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return_complex=False,
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)
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spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
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@ -129,8 +129,8 @@ class TorchSTFT(nn.Module): # pylint: disable=abstract-method
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pad_mode="reflect", # compatible with audio.py
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normalized=self.normalized,
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onesided=True,
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return_complex=False,
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)
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o = torch.view_as_real(o)
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M = o[:, :, :, 0]
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P = o[:, :, :, 1]
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S = torch.sqrt(torch.clamp(M**2 + P**2, min=1e-8))
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@ -64,9 +64,8 @@ def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False)
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pad_mode="reflect",
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normalized=False,
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onesided=True,
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return_complex=False,
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)
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spec = torch.view_as_real(spec)
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spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
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return spec
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@ -114,9 +113,8 @@ def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size,
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pad_mode="reflect",
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normalized=False,
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onesided=True,
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return_complex=False,
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)
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spec = torch.view_as_real(spec)
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spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
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spec = torch.matmul(mel_basis[fmax_dtype_device], spec)
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