diff --git a/codes/options/options.py b/codes/options/options.py
index be42de2f..bead66c4 100644
--- a/codes/options/options.py
+++ b/codes/options/options.py
@@ -5,8 +5,6 @@ import yaml
 from utils.util import OrderedYaml
 Loader, Dumper = OrderedYaml()
 
-loaded_options = None
-
 def parse(opt_path, is_train=True):
     with open(opt_path, mode='r') as f:
         opt = yaml.load(f, Loader=Loader)
diff --git a/codes/train.py b/codes/train.py
index 6c390eb9..e61abe71 100644
--- a/codes/train.py
+++ b/codes/train.py
@@ -127,7 +127,7 @@ def main():
     # torch.autograd.set_detect_anomaly(True)
 
     # Save the compiled opt dict to the global loaded_options variable.
-    option.loaded_options = opt
+    util.loaded_options = opt
 
     #### create train and val dataloader
     dataset_ratio = 1  # enlarge the size of each epoch
diff --git a/codes/utils/util.py b/codes/utils/util.py
index 1f2f82d1..2dd3378f 100644
--- a/codes/utils/util.py
+++ b/codes/utils/util.py
@@ -14,7 +14,6 @@ from torchvision.utils import make_grid
 from shutil import get_terminal_size
 import scp
 import paramiko
-from options.options import loaded_options
 from torch.utils.checkpoint import checkpoint
 
 import yaml
@@ -23,6 +22,7 @@ try:
 except ImportError:
     from yaml import Loader, Dumper
 
+loaded_options = None
 
 def OrderedYaml():
     '''yaml orderedDict support'''