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Update projected_model.py #310

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Update projected_model.py #310

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4 changes: 3 additions & 1 deletion models/projected_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,15 +50,16 @@ def initialize(self, opt):
self.netArc = self.netArc.cuda()
self.netArc.eval()
self.netArc.requires_grad_(False)

if not self.isTrain:
pretrained_path = opt.checkpoints_dir
self.load_network(self.netG, 'G', opt.which_epoch, pretrained_path)
return

self.netD = ProjectedDiscriminator(diffaug=False, interp224=False, **{})
# self.netD.feature_network.requires_grad_(False)
self.netD.cuda()


if self.isTrain:
# define loss functions
self.criterionFeat = nn.L1Loss()
Expand All @@ -83,6 +84,7 @@ def initialize(self, opt):
self.load_network(self.netD, 'D', opt.which_epoch, pretrained_path)
self.load_optim(self.optimizer_G, 'G', opt.which_epoch, pretrained_path)
self.load_optim(self.optimizer_D, 'D', opt.which_epoch, pretrained_path)

torch.cuda.empty_cache()

def cosin_metric(self, x1, x2):
Expand Down