diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 7f718216e3a417e11f483fa018b593e7aef9552f..9431134541fb20027fe27beff70d4f992b0b0a3b 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -73,8 +73,6 @@ y_67 = np.arange(67)
 # y_134_2 = slice(3, 131, 2)
 x_128_2 = slice(3, 131, 2)
 y_128_2 = slice(3, 131, 2)
-x_128 = slice(3, 131)
-y_128 = slice(3, 131)
 x_130 = slice(2, 132)
 y_130 = slice(2, 132)
 
@@ -87,6 +85,9 @@ y_130 = slice(2, 132)
 x_134_2 = slice(1, 134, 2)
 y_134_2 = slice(1, 134, 2)
 
+x_128 = slice(3, 131)
+y_128 = slice(3, 131)
+
 # Kernel size: 3, target size: (128, 128)
 x_130 = slice(2, 132)
 y_130 = slice(2, 132)
@@ -98,6 +99,21 @@ t = np.arange(1, 66, 0.5)
 s = np.arange(1, 66, 0.5)
 x_2 = x_67
 y_2 = y_67
+# ----------------------------------------
+
+# Kernel size: 5, target_size: (128, 128)
+# x_132 = slice(3, 135)
+# y_132 = slice(3, 135)
+# slc_x = slice(5, 133)
+# slc_y = slice(5, 133)
+# slc_x_2 = slice(2, 137, 2)
+# slc_y_2 = slice(2, 137, 2)
+#
+# t = np.arange(1, 67, 0.5)
+# s = np.arange(1, 67, 0.5)
+# x_2 = np.arange(68)
+# y_2 = np.arange(68)
+# ----------------------------------------
 
 
 def build_residual_conv2d_block(conv, num_filters, block_name, activation=tf.nn.relu, padding='SAME',