diff --git a/TensorFlow/contrib/cv/FQ-GAN_ID1117_for_TensorFlow/ops.py b/TensorFlow/contrib/cv/FQ-GAN_ID1117_for_TensorFlow/ops.py
index 12d0f0feb9b06d2b1f8ca920feecfbc43d7c825a..8085ebcb2d8b188aa49b095abf368250d7302d1e 100644
--- a/TensorFlow/contrib/cv/FQ-GAN_ID1117_for_TensorFlow/ops.py
+++ b/TensorFlow/contrib/cv/FQ-GAN_ID1117_for_TensorFlow/ops.py
@@ -62,7 +62,20 @@ def conv(x, channels, kernel=4, stride=2, pad=0, pad_type='zero', use_bias=True,
             if pad_type == 'zero':
                 x = tf.pad(x, [[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]])
             if pad_type == 'reflect':
-                x = tf.pad(x, [[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]], mode='REFLECT')
+                # x = tf.pad(x, [[0, 0], [pad_top, pad_bottom], [pad_left, pad_right], [0, 0]], mode='REFLECT')
+
+                for i in range(pad_top):
+                    j = (i << 1) + 1
+                    x = tf.concat([x[:, j:j+1, :, :], x], axis=1)
+                for i in range(pad_bottom):
+                    j = -((i << 1) + 1)
+                    x = tf.concat([x, x[:, j-1:j, :, :]], axis=1)
+                for i in range(pad_left):
+                    j = (i << 1) + 1
+                    x = tf.concat([x[:, :, j:j+1, :], x], axis=2)
+                for i in range(pad_right):
+                    j = -((i << 1) + 1)
+                    x = tf.concat([x, x[:, :, j-1:j, :]], axis=2)
 
         if sn :
             w = tf.get_variable("kernel", shape=[kernel, kernel, x.get_shape()[-1], channels], initializer=weight_init,