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Pacify pylint
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+2
-2
@@ -30,9 +30,9 @@ def tts(model,
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if C.model == "Tacotron" and use_vocoder_model:
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postnet_output = ap.out_linear_to_mel(postnet_output.T).T
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# correct if there is a scale difference b/w two models
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postnet_output = ap._denormalize(postnet_output)
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postnet_output = ap._denormalize(postnet_output) # pylint: disable=W021
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if use_vocoder_model:
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postnet_output = ap_vocoder._normalize(postnet_output)
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postnet_output = ap_vocoder._normalize(postnet_output) # pylint: disable=W021
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vocoder_input = torch.FloatTensor(postnet_output.T).unsqueeze(0)
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waveform = vocoder_model.generate(
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vocoder_input.cuda() if use_cuda else vocoder_input,
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