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fix multi-speaker glow-tts inference

This commit is contained in:
erogol 2020-12-10 02:05:48 +01:00
parent 3d5066e2b8
commit 788cd6f902
1 changed files with 2 additions and 2 deletions
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4
TTS/tts/utils/synthesis.py
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@ -64,9 +64,9 @@ def run_model_torch(model, inputs, CONFIG, truncated, speaker_id=None, style_mel
inputs_lengths = torch.tensor(inputs.shape[1:2]).to(inputs.device) # pylint: disable=not-callable
if hasattr(model, 'module'):
# distributed model
postnet_output, _, _, _, alignments, _, _ = model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings)
postnet_output, _, _, _, alignments, _, _ = model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings)
else:
postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings)
postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings)
postnet_output = postnet_output.permute(0, 2, 1)
# these only belong to tacotron models.
decoder_output = None