Created
April 19, 2019 09:42
-
-
Save KushajveerSingh/cd1fe28c549c6f987934b9e9c73f9acc to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
class GANLoss(nn.Module): | |
def __init__(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, | |
tensor=torch.FloatTensor): | |
super().__init__() | |
self.real_label = target_real_label | |
self.fake_label = target_fake_label | |
self.real_label_var = None | |
self.fake_label_var = None | |
self.Tensor = tensor | |
if use_lsgan: | |
self.loss = nn.L1Loss() | |
else: | |
self.loss = nn.BCELoss() | |
def get_target_tensor(self, input, target_is_real): | |
target_tensor = None | |
if target_is_real: | |
create_label = ((self.real_label_var is None) or | |
(self.real_label_var.numel() != input.numel())) | |
if create_label: | |
real_tensor = self.Tensor(input.size()).fill_(self.real_label) | |
self.real_label_var = torch.tensor(real_tensor, requires_grad=False) | |
target_tensor = self.real_label_var | |
else: | |
create_label = ((self.fake_label_var is None) or | |
(self.fake_label_var.numel() != input.numel())) | |
if create_label: | |
fake_tensor = self.Tensor(input.size()).fill_(self.fake_label) | |
self.fake_label_var = torch.tensor(fake_tensor, requires_grad=False) | |
target_tensor = self.fake_label_var | |
return target_tensor | |
def __call__(self, input, target_is_real): | |
target_tensor = self.get_target_tensor(input, target_is_real) | |
return self.loss(input, target_tensor.to(torch.device('cuda'))) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment