- fixed indep dep learning

mini_imagenet_dataloader.py

@@ -302,16 +302,18 @@ def generate_add_samples(self, phase = 'train'):
             # care must be taken, that with a different dataset the labels have a different meaning. Thus if we use a new dataset, we must 
             # use network_base which fits to the database. Therefore there must be taken images with label from the same dataset.
             network_base_img = batch_train_img[:train_epoch_size]
-            network_base_img = batch_train_label[:train_epoch_size]
-            
-            #only half is used now, as the rest is reserved for independend base    
+            network_base_label = batch_train_label[:train_epoch_size]
+
+            #only half is used now, as the rest is reserved for independend base
             episode_train_img = batch_train_img[train_epoch_size:]
             episode_train_label = batch_train_label[train_epoch_size:]
 
             if not args.use_independent_base:
                 network_base_img = episode_train_img
                 network_base_label = episode_train_label
-            if args.train_indep_and_dependent:
+            if args.train_indep_and_dependent:   #train_epoch_size wrong, before should be old ....
+                network_base_img = batch_train_img[:int(train_epoch_size/2)]
+                network_base_label = batch_train_label[:int(train_epoch_size/2)]
                 episode_train_img = batch_train_img
                 episode_train_label = batch_train_label
             if phase == 'train':