From d6b2b6add63fcef286806d30a32f0c3229c7a000 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Thu, 3 Jun 2021 13:05:54 +0200 Subject: [PATCH] make style and linter fixes --- TTS/bin/extract_tts_spectrograms.py | 1 - TTS/trainer.py | 23 +++++++++++++++++------ 2 files changed, 17 insertions(+), 7 deletions(-) diff --git a/TTS/bin/extract_tts_spectrograms.py b/TTS/bin/extract_tts_spectrograms.py index d17bcb30..24665871 100755 --- a/TTS/bin/extract_tts_spectrograms.py +++ b/TTS/bin/extract_tts_spectrograms.py @@ -81,7 +81,6 @@ def format_data(data): # setup input data text_input = data[0] text_lengths = data[1] - speaker_names = data[2] mel_input = data[4] mel_lengths = data[5] item_idx = data[7] diff --git a/TTS/trainer.py b/TTS/trainer.py index 7136e023..f837ce7f 100644 --- a/TTS/trainer.py +++ b/TTS/trainer.py @@ -268,7 +268,7 @@ class TrainerTTS: data_items: List, verbose: bool, speaker_ids: Union[Dict, List], - d_vectors: Union[Dict, List] + d_vectors: Union[Dict, List], ) -> DataLoader: if is_eval and not self.config.run_eval: loader = None @@ -290,10 +290,10 @@ class TrainerTTS: enable_eos_bos=self.config.enable_eos_bos_chars, use_noise_augment=not is_eval, verbose=verbose, - speaker_id_mapping=speaker_ids - if self.config.use_speaker_embedding else None, + speaker_id_mapping=speaker_ids if self.config.use_speaker_embedding else None, d_vector_mapping=d_vectors - if self.config.use_speaker_embedding and self.config.use_external_speaker_embedding_file else None, + if self.config.use_speaker_embedding and self.config.use_external_speaker_embedding_file + else None, ) if self.config.use_phonemes and self.config.compute_input_seq_cache: @@ -383,6 +383,7 @@ class TrainerTTS: return { "text_input": text_input, "text_lengths": text_lengths, + "speaker_names": speaker_names, "mel_input": mel_input, "mel_lengths": mel_lengths, "linear_input": linear_input, @@ -630,11 +631,21 @@ class TrainerTTS: # define data loaders self.train_loader = self.get_train_dataloader( - self.config.r, self.ap, self.data_train, verbose=True, speaker_ids=self.speaker_manager.speaker_ids, d_vectors=self.speaker_manager.d_vectors + self.config.r, + self.ap, + self.data_train, + verbose=True, + speaker_ids=self.speaker_manager.speaker_ids, + d_vectors=self.speaker_manager.d_vectors, ) self.eval_loader = ( self.get_eval_dataloder( - self.config.r, self.ap, self.data_train, verbose=True, speaker_ids=self.speaker_manager.speaker_ids, d_vectors=self.speaker_manager.d_vectors + self.config.r, + self.ap, + self.data_train, + verbose=True, + speaker_ids=self.speaker_manager.speaker_ids, + d_vectors=self.speaker_manager.d_vectors, ) if self.config.run_eval else None