Renamed load_data(batch_size, img_size) to load_data_img because it clashes...

Renamed load_data(batch_size, img_size) to load_data_img because it clashes with load_data(train_batch_size, test_batch_size)

src/main/resources/templates/gluon/CNNDataLoader.ftl

@@ -68,7 +68,7 @@ class ${tc.fileNameWithoutEnding}:
 
         return train_iter, train_test_iter, test_iter, data_mean, data_std, train_images, test_images
 
-    def load_data(self, batch_size, img_size):
+    def load_data_img(self, batch_size, img_size):
         train_h5, test_h5 = self.load_h5_files()
         width = img_size[0]
         height = img_size[1]

src/main/resources/templates/gluon/CNNGanTrainer.ftl

@@ -81,7 +81,7 @@ class ${tc.fileNameWithoutEnding}:
             logging.error("Context argument is '" + context + "'. Only 'cpu' and 'gpu are valid arguments'.")
 
         #train_iter = getDataIter(mx_context, batch_size, 100)
-        train_iter, test_iter, data_mean, data_std = self._data_loader.load_data(batch_size, img_resize)
+        train_iter, test_iter, data_mean, data_std = self._data_loader.load_data_img(batch_size, img_resize)
 
         if 'weight_decay' in optimizer_params:
             optimizer_params['wd'] = optimizer_params['weight_decay']

src/test/resources/target_code/CNNDataLoader_Alexnet.py

@@ -67,7 +67,7 @@ class CNNDataLoader_Alexnet:
 
         return train_iter, train_test_iter, test_iter, data_mean, data_std, train_images, test_images
 
-    def load_data(self, batch_size, img_size):
+    def load_data_img(self, batch_size, img_size):
         train_h5, test_h5 = self.load_h5_files()
         width = img_size[0]
         height = img_size[1]

src/test/resources/target_code/CNNDataLoader_CifarClassifierNetwork.py

@@ -67,7 +67,7 @@ class CNNDataLoader_CifarClassifierNetwork:
 
         return train_iter, train_test_iter, test_iter, data_mean, data_std, train_images, test_images
 
-    def load_data(self, batch_size, img_size):
+    def load_data_img(self, batch_size, img_size):
         train_h5, test_h5 = self.load_h5_files()
         width = img_size[0]
         height = img_size[1]

src/test/resources/target_code/CNNDataLoader_VGG16.py

@@ -67,7 +67,7 @@ class CNNDataLoader_VGG16:
 
         return train_iter, train_test_iter, test_iter, data_mean, data_std, train_images, test_images
 
-    def load_data(self, batch_size, img_size):
+    def load_data_img(self, batch_size, img_size):
         train_h5, test_h5 = self.load_h5_files()
         width = img_size[0]
         height = img_size[1]