Medix-AI/coqui-tts
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coqui-tts
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refactor: use load_checkpoint from trainer

This commit is contained in:
Enno Hermann 2024-06-27 11:13:41 +02:00
parent da82d55329
commit e869b9b658
1 changed files with 1 additions and 1 deletions
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TTS/bin/compute_attention_masks.py
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@ -8,6 +8,7 @@ import numpy as np
import torch import torch
from torch.utils.data import DataLoader from torch.utils.data import DataLoader
from tqdm import tqdm from tqdm import tqdm
from trainer.io import load_checkpoint
from TTS.config import load_config from TTS.config import load_config
from TTS.tts.datasets.TTSDataset import TTSDataset from TTS.tts.datasets.TTSDataset import TTSDataset
@ -15,7 +16,6 @@ from TTS.tts.models import setup_model
from TTS.tts.utils.text.characters import make_symbols, phonemes, symbols from TTS.tts.utils.text.characters import make_symbols, phonemes, symbols
from TTS.utils.audio import AudioProcessor from TTS.utils.audio import AudioProcessor
from TTS.utils.generic_utils import ConsoleFormatter, setup_logger from TTS.utils.generic_utils import ConsoleFormatter, setup_logger
from TTS.utils.io import load_checkpoint
if __name__ == "__main__": if __name__ == "__main__":
setup_logger("TTS", level=logging.INFO, screen=True, formatter=ConsoleFormatter()) setup_logger("TTS", level=logging.INFO, screen=True, formatter=ConsoleFormatter())