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BUG fixes and more visualization changes

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This commit is contained in:
Eren Golge
2018-02-08 05:57:43 -08:00
parent 3cafc6568c
commit 584c8fbf5e
4 changed files with 36 additions and 23 deletions
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train.py
+18 -8
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@@ -71,8 +71,8 @@ def main(args):
)
dataloader = DataLoader(dataset, batch_size=c.batch_size,
shuffle=True, collate_fn=dataset.collate_fn,
drop_last=True, num_workers=c.num_loader_workers)
shuffle=True, collate_fn=dataset.collate_fn,
drop_last=True, num_workers=c.num_loader_workers)
# setup the model
model = Tacotron(c.embedding_size,
@@ -94,14 +94,16 @@ def main(args):
optimizer = optim.Adam(model.parameters(), lr=c.lr)
try:
if args.restore_step:
checkpoint = torch.load(os.path.join(
CHECKPOINT_PATH, 'checkpoint_%d.pth.tar' % args.restore_step))
args.restore_path, 'checkpoint_%d.pth.tar' % args.restore_step))
model.load_state_dict(checkpoint['model'])
optimizer.load_state_dict(checkpoint['optimizer'])
print("\n > Model restored from step %d\n" % args.restore_step)
start_epoch = checkpoint['step'] // len(dataloader)
except:
else:
start_epoch = 0
print("\n > Starting a new training")
model = model.train()
@@ -119,7 +121,7 @@ def main(args):
#lr_scheduler = ReduceLROnPlateau(optimizer, factor=c.lr_decay,
# patience=c.lr_patience, verbose=True)
epoch_time = 0
for epoch in range(c.epochs):
for epoch in range(0, c.epochs):
print("\n | > Epoch {}/{}".format(epoch, c.epochs))
progbar = Progbar(len(dataset) / c.batch_size)
@@ -214,6 +216,7 @@ def main(args):
save_checkpoint({'model': model.state_dict(),
'optimizer': optimizer.state_dict(),
'step': current_step,
'epoch': epoch,
'total_loss': loss.data[0],
'linear_loss': linear_loss.data[0],
'mel_loss': mel_loss.data[0],
@@ -238,8 +241,13 @@ def main(args):
audio_signal = linear_output[0].data.cpu().numpy()
dataset.ap.griffin_lim_iters = 60
audio_signal = dataset.ap.inv_spectrogram(audio_signal.T)
tb.add_audio('SampleAudio', audio_signal, current_step,
sample_rate=c.sample_rate)
try:
tb.add_audio('SampleAudio', audio_signal, current_step,
sample_rate=c.sample_rate)
except:
print("\n > Error at audio signal on TB!!")
print(audio_signal.max())
print(audio_signal.min())
#lr_scheduler.step(loss.data[0])
tb.add_scalar('Time/EpochTime', epoch_time, epoch)
@@ -250,6 +258,8 @@ if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--restore_step', type=int,
help='Global step to restore checkpoint', default=0)
parser.add_argument('--restore_path', type=str,
help='Folder path to checkpoints', default=0)
parser.add_argument('--config_path', type=str,
help='path to config file for training',)
args = parser.parse_args()