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Deprecation removed #19

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Deprecation removed #19

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11 changes: 5 additions & 6 deletions utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ def log(self, losses=None, images=None):
sys.stdout.write('%s: %.4f | ' % (loss_name, self.losses[loss_name]/self.batch))

batches_done = self.batches_epoch*(self.epoch - 1) + self.batch
batches_left = self.batches_epoch*(self.n_epochs - self.epoch) + self.batches_epoch - self.batch
batches_left = self.batches_epoch*(self.n_epochs - self.epoch) + self.batches_epoch - self.batch
sys.stdout.write('ETA: %s' % (datetime.timedelta(seconds=batches_left*self.mean_period/batches_done)))

# Draw images
Expand All @@ -61,7 +61,7 @@ def log(self, losses=None, images=None):
# Plot losses
for loss_name, loss in self.losses.items():
if loss_name not in self.loss_windows:
self.loss_windows[loss_name] = self.viz.line(X=np.array([self.epoch]), Y=np.array([loss/self.batch]),
self.loss_windows[loss_name] = self.viz.line(X=np.array([self.epoch]), Y=np.array([loss/self.batch]),
opts={'xlabel': 'epochs', 'ylabel': loss_name, 'title': loss_name})
else:
self.viz.line(X=np.array([self.epoch]), Y=np.array([loss/self.batch]), win=self.loss_windows[loss_name], update='append')
Expand All @@ -74,7 +74,7 @@ def log(self, losses=None, images=None):
else:
self.batch += 1



class ReplayBuffer():
def __init__(self, max_size=50):
Expand Down Expand Up @@ -111,8 +111,7 @@ def step(self, epoch):
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
torch.nn.init.normal(m.weight.data, 0.0, 0.02)
torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find('BatchNorm2d') != -1:
torch.nn.init.normal(m.weight.data, 1.0, 0.02)
torch.nn.init.normal_(m.weight.data, 1.0, 0.02)
torch.nn.init.constant(m.bias.data, 0.0)