Merge branch 'master' into v.1.5.3
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cb9043ffd4
@ -189,6 +189,12 @@ class Pipeline(object):
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pitch = pitch[:, :p_len]
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pitch = pitch[:, :p_len]
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pitchf = pitchf[:, :p_len]
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pitchf = pitchf[:, :p_len]
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feats_len = feats.shape[1]
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if pitch is not None and pitchf is not None:
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pitch = pitch[:, -feats_len:]
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pitchf = pitchf[:, -feats_len:]
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p_len = torch.tensor([feats_len], device=self.device).long()
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# pitchの推定が上手くいかない(pitchf=0)場合、検索前の特徴を混ぜる
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# pitchの推定が上手くいかない(pitchf=0)場合、検索前の特徴を混ぜる
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# pitchffの作り方の疑問はあるが、本家通りなので、このまま使うことにする。
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# pitchffの作り方の疑問はあるが、本家通りなので、このまま使うことにする。
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# https://github.com/w-okada/voice-changer/pull/276#issuecomment-1571336929
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# https://github.com/w-okada/voice-changer/pull/276#issuecomment-1571336929
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@ -201,11 +207,6 @@ class Pipeline(object):
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feats = feats.to(feats0.dtype)
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feats = feats.to(feats0.dtype)
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p_len = torch.tensor([p_len], device=self.device).long()
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p_len = torch.tensor([p_len], device=self.device).long()
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feats_buffer = feats.squeeze(0).detach().cpu()
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if pitchf is not None:
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pitchf_buffer = pitchf.squeeze(0).detach().cpu()
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else:
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pitchf_buffer = None
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# apply silent front for inference
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# apply silent front for inference
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if type(self.inferencer) in [OnnxRVCInferencer, OnnxRVCInferencerNono]:
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if type(self.inferencer) in [OnnxRVCInferencer, OnnxRVCInferencerNono]:
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npyOffset = math.floor(silence_front * 16000) // 360
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npyOffset = math.floor(silence_front * 16000) // 360
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@ -236,6 +237,12 @@ class Pipeline(object):
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else:
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else:
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raise e
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raise e
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feats_buffer = feats.squeeze(0).detach().cpu()
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if pitchf is not None:
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pitchf_buffer = pitchf.squeeze(0).detach().cpu()
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else:
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pitchf_buffer = None
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del p_len, padding_mask, pitch, pitchf, feats
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del p_len, padding_mask, pitch, pitchf, feats
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torch.cuda.empty_cache()
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torch.cuda.empty_cache()
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