Spaces:
Running on Zero
Running on Zero
Download TrainingInterfaces/Text_to_Spectrogram/FastSpeech2/logger.py from lorgu/Austrian-TTS: direct link, hf CLI and curl.
- Browser
- Download file 515 Bytes
-
https://huggingface.co/spaces/lorgu/Austrian-TTS/resolve/main/TrainingInterfaces/Text_to_Spectrogram/FastSpeech2/logger.py
- Command line
-
hf download hf://spaces/lorgu/Austrian-TTS/TrainingInterfaces/Text_to_Spectrogram/FastSpeech2/logger.py
-
curl -L -o logger.py https://huggingface.co/spaces/lorgu/Austrian-TTS/resolve/main/TrainingInterfaces/Text_to_Spectrogram/FastSpeech2/logger.py
515 Bytes
| import random | |
| import torch | |
| from torch.utils.tensorboard import SummaryWriter | |
| class FastSpeech2Logger(SummaryWriter): | |
| def __init__(self, logdir): | |
| super(FastSpeech2Logger, self).__init__(logdir) | |
| def log_training(self, loss, iteration): | |
| self.add_scalar("training.loss", loss, iteration) | |
| # self.add_scalar("grad.norm", grad_norm, iteration) | |
| # self.add_scalar("learning.rate", learning_rate, iteration) | |
| # self.add_scalar("duration", duration, iteration) | |