diff --git a/codes/models/SRGAN_model.py b/codes/models/SRGAN_model.py
index ff2810c3..9d59e40a 100644
--- a/codes/models/SRGAN_model.py
+++ b/codes/models/SRGAN_model.py
@@ -177,10 +177,7 @@ class SRGANModel(BaseModel):
                 self.use_corrupted_feature_input = train_opt['corrupted_feature_input'] if 'corrupted_feature_input' in train_opt.keys() else False
                 if self.use_corrupted_feature_input:
                     logger.info("Corrupting inputs into the feature network..")
-                    self.feature_corruptor = GaussianBlur()
-                else:
-                    logger.info("Using normal inputs into feature network..")
-                    print(train_opt)
+                    self.feature_corruptor = GaussianBlur().to(self.device)
                 self.netF = networks.define_F(use_bn=False).to(self.device)
                 self.lr_netF = None
                 if 'lr_fea_path' in train_opt.keys():
@@ -502,8 +499,6 @@ class SRGANModel(BaseModel):
                     elif self.use_corrupted_feature_input:
                         cor_Pix = F.interpolate(self.feature_corruptor(pix), size=var_L.shape[2:])
                         real_fea = self.netF(cor_Pix).detach()
-                        if step % 50 == 0:
-                            utils.save_image(cor_Pix.detach().cpu(), "corrupted_pix.png")
                     else:
                         real_fea = self.netF(pix).detach()
                     if self.use_corrupted_feature_input:
diff --git a/codes/train.py b/codes/train.py
index fd21808a..1b1444d2 100644
--- a/codes/train.py
+++ b/codes/train.py
@@ -32,7 +32,7 @@ def init_dist(backend='nccl', **kwargs):
 def main():
     #### options
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_mi1_spsr_switched2.yml')
+    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../experiments/finetune_imgset_spsr_switched2_xlbatch_limfeat.yml')
     parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none',
                         help='job launcher')
     parser.add_argument('--local_rank', type=int, default=0)