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mend
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@ -180,7 +180,7 @@ class Pipeline(object):
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with torch.no_grad():
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audio1 = (
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(
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torch.clip(self.inferencer.infer(feats, p_len, pitch, pitchf, sid)[0][0, 0], -1., 1.) * 32767.5 - .5
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torch.clip(self.inferencer.infer(feats, p_len, pitch, pitchf, sid)[0][0, 0].to(dtype=torch.float32), -1., 1.) * 32767.5 - .5
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)
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.data
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.to(dtype=torch.int16)
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@ -27,7 +27,7 @@ class CrepePitchExtractor(PitchExtractor):
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f0_mel_max = 1127 * np.log(1 + f0_max / 700)
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f0 = torchcrepe.predict(
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torch.tensor(audio).unsqueeze(0),
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audio.unsqueeze(0),
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sr,
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hop_length=window,
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fmin=f0_min,
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