diff options
Diffstat (limited to 'models/cycle_gan_model.py')
| -rw-r--r-- | models/cycle_gan_model.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/models/cycle_gan_model.py b/models/cycle_gan_model.py index 6a52b2c..29389db 100644 --- a/models/cycle_gan_model.py +++ b/models/cycle_gan_model.py @@ -36,10 +36,10 @@ class CycleGANModel(BaseModel): use_sigmoid = opt.no_lsgan self.netD_A = networks.define_D(opt.output_nc, opt.ndf, opt.which_model_netD, - opt.n_layers_D, opt.norm, use_sigmoid, self.gpu_ids) + opt.n_layers_D, opt.norm, use_sigmoid, opt.init_type, self.gpu_ids) self.netD_B = networks.define_D(opt.input_nc, opt.ndf, opt.which_model_netD, - opt.n_layers_D, opt.norm, use_sigmoid, self.gpu_ids) + opt.n_layers_D, opt.norm, use_sigmoid, opt.init_type, self.gpu_ids) if not self.isTrain or opt.continue_train: which_epoch = opt.which_epoch self.load_network(self.netG_A, 'G_A', which_epoch) @@ -197,7 +197,7 @@ class CycleGANModel(BaseModel): real_B = util.tensor2im(self.real_B.data) fake_A = util.tensor2im(self.fake_A.data) rec_B = util.tensor2im(self.rec_B.data) - if self.opt.identity > 0.0: + if self.opt.isTrain and self.opt.identity > 0.0: idt_A = util.tensor2im(self.idt_A.data) idt_B = util.tensor2im(self.idt_B.data) return OrderedDict([('real_A', real_A), ('fake_B', fake_B), ('rec_A', rec_A), ('idt_B', idt_B), |