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Fix Vocoder logging

This commit is contained in:
Eren Gölge 2022-04-04 09:46:10 +02:00 committed by Eren G??lge
parent 760f045aaa
commit 0738cb0efe
1 changed files with 3 additions and 3 deletions
TTS/vocoder/models
gan.py

6
TTS/vocoder/models/gan.py
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@ -209,9 +209,9 @@ class GAN(BaseVocoder):
self, batch: Dict, outputs: Dict, logger: "Logger", assets: Dict, steps: int # pylint: disable=unused-argument self, batch: Dict, outputs: Dict, logger: "Logger", assets: Dict, steps: int # pylint: disable=unused-argument
) -> Tuple[Dict, np.ndarray]: ) -> Tuple[Dict, np.ndarray]:
"""Call `_log()` for training.""" """Call `_log()` for training."""
figures, audios = self._log("eval", self.ap, batch, outputs) figures, audios = self._log("train", self.ap, batch, outputs)
logger.eval_figures(steps, figures) logger.train_figures(steps, figures)
logger.eval_audios(steps, audios, self.ap.sample_rate) logger.train_audios(steps, audios, self.ap.sample_rate)
@torch.no_grad() @torch.no_grad()
def eval_step(self, batch: Dict, criterion: nn.Module, optimizer_idx: int) -> Tuple[Dict, Dict]: def eval_step(self, batch: Dict, criterion: nn.Module, optimizer_idx: int) -> Tuple[Dict, Dict]: