Spaces:
Build error
Build error
| import os | |
| import torch | |
| import torch.nn.functional as F | |
| from torch import nn | |
| from modules.tts.syntaspeech.syntaspeech import SyntaSpeech | |
| from tasks.tts.ps_adv import PortaSpeechAdvTask | |
| from utils.hparams import hparams | |
| class SyntaSpeechTask(PortaSpeechAdvTask): | |
| def build_tts_model(self): | |
| ph_dict_size = len(self.token_encoder) | |
| word_dict_size = len(self.word_encoder) | |
| self.model = SyntaSpeech(ph_dict_size, word_dict_size, hparams) | |
| self.gen_params = [p for p in self.model.parameters() if p.requires_grad] | |
| self.dp_params = [p for k, p in self.model.named_parameters() if (('dur_predictor' in k) and p.requires_grad)] | |
| self.gen_params_except_dp = [p for k, p in self.model.named_parameters() if (('dur_predictor' not in k) and p.requires_grad)] | |
| self.bert_params = [p for k, p in self.model.named_parameters() if (('bert' in k) and p.requires_grad)] | |
| self.gen_params_except_bert_and_dp = [p for k, p in self.model.named_parameters() if ('dur_predictor' not in k) and ('bert' not in k) and p.requires_grad ] | |
| self.use_bert = True if len(self.bert_params) > 0 else False | |