Medix-AI/coqui-tts
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coqui-tts
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bug fix for gradual training

This commit is contained in:
erogol 2020-12-13 02:36:23 +01:00
parent 5c50e104d6
commit 29b17c0808
1 changed files with 34 additions and 25 deletions
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15
TTS/bin/train_tacotron.py
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@ -39,10 +39,11 @@ from TTS.utils.training import (NoamLR, adam_weight_decay, check_update,
use_cuda, num_gpus = setup_torch_training_env(True, False)
def setup_loader(ap, r, is_val=False, verbose=False):
def setup_loader(ap, r, is_val=False, verbose=False, dataset=None):
if is_val and not c.run_eval:
loader = None
else:
if dataset is None:
dataset = MyDataset(
r,
c.text_cleaner,
@ -604,15 +605,23 @@ def main(args): # pylint: disable=redefined-outer-name
if c.bidirectional_decoder:
model.decoder_backward.set_r(r)
train_loader.dataset.outputs_per_step = r
train_loader.batch_size = c.batch_size
eval_loader.dataset.outputs_per_step = r
eval_loader.batch_size = c.batch_size
train_loader = setup_loader(ap,
model.decoder.r,
is_val=False,
dataset=train_loader.dataset)
eval_loader = setup_loader(ap,
model.decoder.r,
is_val=True,
dataset=eval_loader.dataset)
print("\n > Number of output frames:", model.decoder.r)
# train one epoch
train_avg_loss_dict, global_step = train(train_loader, model,
criterion, optimizer,
optimizer_st, scheduler, ap,
global_step, epoch, scaler,
scaler_st)
# eval one epoch
eval_avg_loss_dict = evaluate(eval_loader, model, criterion, ap,
global_step, epoch)
c_logger.print_epoch_end(epoch, eval_avg_loss_dict)