Medix-AI/coqui-tts
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coqui-tts
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Keep avg step time

This commit is contained in:
Eren G 2018-07-27 16:13:55 +02:00
parent fcc21cdc69
commit 355df8fe9b
1 changed files with 11 additions and 6 deletions
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17
train.py
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@ -39,6 +39,7 @@ def train(model, criterion, criterion_st, data_loader, optimizer, optimizer_st,
avg_linear_loss = 0
avg_mel_loss = 0
avg_stop_loss = 0
avg_step_time = 0
print(" | > Epoch {}/{}".format(epoch, c.epochs), flush=True)
n_priority_freq = int(3000 / (c.sample_rate * 0.5) * c.num_freq)
for num_iter, data in enumerate(data_loader):
@ -130,6 +131,7 @@ def train(model, criterion, criterion_st, data_loader, optimizer, optimizer_st,
avg_linear_loss += linear_loss.item()
avg_mel_loss += mel_loss.item()
avg_stop_loss += stop_loss.item()
avg_step_time += step_time
# Plot Training Iter Stats
tb.add_scalar('TrainIterLoss/TotalLoss', loss.item(), current_step)
@ -175,16 +177,19 @@ def train(model, criterion, criterion_st, data_loader, optimizer, optimizer_st,
avg_mel_loss /= (num_iter + 1)
avg_stop_loss /= (num_iter + 1)
avg_total_loss = avg_mel_loss + avg_linear_loss + avg_stop_loss
avg_step_time /= (num_iter + 1)
# print epoch stats
print(" | | > EPOCH END -- GlobalStep:{} AvgTotalLoss:{:.5f} "\
"AvgLinearLoss:{:.5f} AvgMelLoss:{:.5f} "\
"AvgStopLoss:{:.5f} EpochTime:{:.2f}".format(current_step,
avg_total_loss,
avg_linear_loss,
avg_mel_loss,
avg_stop_loss,
epoch_time), flush=True)
"AvgStopLoss:{:.5f} EpochTime:{:.2f}"\
"AvgStepTime:{:.2f}".format(current_step,
avg_total_loss,
avg_linear_loss,
avg_mel_loss,
avg_stop_loss,
epoch_time,
avg_step_time), flush=True)
# Plot Training Epoch Stats
tb.add_scalar('TrainEpochLoss/TotalLoss', avg_total_loss, current_step)