diff --git a/modules/deeplearning/unet.py b/modules/deeplearning/unet.py
index 88605d090311a1238888246bb63e17cc6cf9c36f..63dfec78068e05bca2dcdcc62a19705ea6494f8a 100644
--- a/modules/deeplearning/unet.py
+++ b/modules/deeplearning/unet.py
@@ -71,26 +71,7 @@ def build_conv2d_block(conv, num_filters, activation, block_name, padding='SAME'
 
 class UNET:
     
-    def __init__(self, day_night='DAY', l1b_or_l2='both', use_flight_altitude=False, gpu_device=0, datapath=None):
-
-        if day_night == 'DAY':
-            self.train_params_l1b = train_params_l1b_day
-            self.train_params_l2 = train_params_l2_day
-            if l1b_or_l2 == 'both':
-                self.train_params = train_params_l1b_day + train_params_l2_day
-            elif l1b_or_l2 == 'l1b':
-                self.train_params = train_params_l1b_day
-            elif l1b_or_l2 == 'l2':
-                self.train_params = train_params_l2_day
-        else:
-            self.train_params_l1b = train_params_l1b_night
-            self.train_params_l2 = train_params_l2_night
-            if l1b_or_l2 == 'both':
-                self.train_params = train_params_l1b_night + train_params_l2_night
-            elif l1b_or_l2 == 'l1b':
-                self.train_params = train_params_l1b_night
-            elif l1b_or_l2 == 'l2':
-                self.train_params = train_params_l2_night
+    def __init__(self):
 
         self.train_data = None
         self.train_label = None
@@ -130,7 +111,6 @@ class UNET:
         self.accuracy = None
         self.loss = None
         self.pred_class = None
-        self.gpu_device = gpu_device
         self.variable_averages = None
 
         self.global_step = None
@@ -199,13 +179,11 @@ class UNET:
 
         self.DISK_CACHE = False
 
-        self.USE_FLIGHT_ALTITUDE = use_flight_altitude
-
-        if datapath is not None:
-            self.DISK_CACHE = False
-            f = open(datapath, 'rb')
-            self.in_mem_data_cache = pickle.load(f)
-            f.close()
+        # if datapath is not None:
+        #     self.DISK_CACHE = False
+        #     f = open(datapath, 'rb')
+        #     self.in_mem_data_cache = pickle.load(f)
+        #     f.close()
 
         tf.debugging.set_log_device_placement(LOG_DEVICE_PLACEMENT)