diff --git a/codes/models/SRGAN_model.py b/codes/models/SRGAN_model.py
index 902fa226..0bc2fce4 100644
--- a/codes/models/SRGAN_model.py
+++ b/codes/models/SRGAN_model.py
@@ -504,10 +504,10 @@ class SRGANModel(BaseModel):
                         l_g_gan_grad_branch = self.l_gan_grad_w * self.cri_grad_gan(pred_g_fake_grad_branch, True)
                     elif self.opt['train']['gan_type'] == 'ragan':
                         pred_g_real_grad = self.netD_grad(self.get_grad_nopadding(var_ref)).detach()
-                        l_g_gan_grad = self.l_gan_w * (
+                        l_g_gan_grad = self.l_gan_grad_w * (
                             self.cri_gan(pred_g_real_grad - torch.mean(pred_g_fake_grad), False) +
                             self.cri_gan(pred_g_fake_grad - torch.mean(pred_g_real_grad), True)) / 2
-                        l_g_gan_grad_branch = self.l_gan_w * (
+                        l_g_gan_grad_branch = self.l_gan_grad_w * (
                             self.cri_gan(pred_g_real_grad - torch.mean(pred_g_fake_grad_branch), False) +
                             self.cri_gan(pred_g_fake_grad_branch - torch.mean(pred_g_real_grad), True)) / 2
                     l_g_total += l_g_gan_grad + l_g_gan_grad_branch
@@ -776,8 +776,8 @@ class SRGANModel(BaseModel):
                 if self.cri_pix_branch:
                     self.add_log_entry('l_g_pix_grad_branch', l_g_pix_grad_branch.detach().item())
                 if self.cri_grad_gan:
-                    self.add_log_entry('l_g_gan_grad', l_g_gan_grad.detach().item())
-                    self.add_log_entry('l_g_gan_grad_branch', l_g_gan_grad_branch.detach().item())
+                    self.add_log_entry('l_g_gan_grad', l_g_gan_grad.detach().item() / self.l_gan_grad_w)
+                    self.add_log_entry('l_g_gan_grad_branch', l_g_gan_grad_branch.detach().item() / self.l_gan_grad_w)
         if self.l_gan_w > 0 and step >= self.G_warmup:
             self.add_log_entry('l_d_real', l_d_real_log.detach().item())
             self.add_log_entry('l_d_fake', l_d_fake_log.detach().item())