Medix-AI/coqui-tts
Medix-AI
/
coqui-tts
mirror of https://github.com/coqui-ai/TTS.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

bug fixes on train.py

This commit is contained in:
Eren Golge 2018-12-17 16:37:06 +01:00
parent 96b48c003a
commit 17b65d5cde
1 changed files with 8 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
train.py
View File

@ -43,7 +43,9 @@ def setup_loader(is_val=False):
preprocessor=preprocessor, preprocessor=preprocessor,
ap=ap, ap=ap,
batch_group_size=0 if is_val else 8 * c.batch_size, batch_group_size=0 if is_val else 8 * c.batch_size,
min_seq_len=0 if is_val else c.min_seq_len) min_seq_len=0 if is_val else c.min_seq_len,
max_seq_len=float("inf") if is_val else c.max_seq_len
cached=False if c.dataset ~= "tts_cache" else True)
loader = DataLoader( loader = DataLoader(
dataset, dataset,
batch_size=c.eval_batch_size if is_val else c.batch_size, batch_size=c.eval_batch_size if is_val else c.batch_size,
@ -164,8 +166,8 @@ def train(model, criterion, criterion_st, optimizer, optimizer_st,
grad_norm, grad_norm_st, avg_text_length, avg_spec_length, step_time, current_lr), grad_norm, grad_norm_st, avg_text_length, avg_spec_length, step_time, current_lr),
flush=True) flush=True)
avg_linear_loss += linear_loss.item() avg_linear_loss += float(linear_loss.item())
avg_mel_loss += mel_loss.item() avg_mel_loss += float(mel_loss.item())
avg_stop_loss += stop_loss.item() avg_stop_loss += stop_loss.item()
avg_step_time += step_time avg_step_time += step_time
@ -198,7 +200,7 @@ def train(model, criterion, criterion_st, optimizer, optimizer_st,
# Sample audio # Sample audio
tb_logger.tb_train_audios(current_step, tb_logger.tb_train_audios(current_step,
{'TrainAudio': ap.inv_spectrogram(const_spec.T)}, {'TrainAudio': ap.inv_spectrogram(const_spec.T)},
c.sample_rate) c.audio["sample_rate"])
avg_linear_loss /= (num_iter + 1) avg_linear_loss /= (num_iter + 1)
avg_mel_loss /= (num_iter + 1) avg_mel_loss /= (num_iter + 1)
@ -295,8 +297,8 @@ def evaluate(model, criterion, criterion_st, ap, current_step):
stop_loss.item()), stop_loss.item()),
flush=True) flush=True)
avg_linear_loss += linear_loss.item() avg_linear_loss += float(linear_loss.item())
avg_mel_loss += mel_loss.item() avg_mel_loss += float(mel_loss.item())
avg_stop_loss += stop_loss.item() avg_stop_loss += stop_loss.item()
# Diagnostic visualizations # Diagnostic visualizations