netagl

I changes the __count_parameters(model) in TTSTrainer class, to _count_parameters(model) @a897456

yes, also _dump_cfg. yeah. @a897456 I changed self.cfg.preprocess.read_metadata: to False, and used acoustic_extractor to create this files: ```python # code code = np.load(self.utt2code_path[utt]) # frame_nums frame_nums = code.shape[1] # pitch...

code: ```python if cfg.preprocess.extract_acoustic_token: print('extract_acoustic_token') if cfg.preprocess.acoustic_token_extractor == "Encodec": codes = extract_encodec_token(wav_path) save_feature( dataset_output, cfg.preprocess.acoustic_token_dir, uid, codes ) ``` pitch: ```python if cfg.preprocess.extract_pitch: pitch = f0.get_f0(wav, cfg.preprocess) save_feature(dataset_output, cfg.preprocess.pitch_dir, uid,...