diff --git a/python/paddle/nn/functional/norm.py b/python/paddle/nn/functional/norm.py
index fcda579332ad9e6a07475d55bf0fe54ec1aa8441..7ba42f880cd83623b94874832f19477cfb2138c0 100644
--- a/python/paddle/nn/functional/norm.py
+++ b/python/paddle/nn/functional/norm.py
@@ -483,17 +483,26 @@ def local_response_norm(x,
 
     channel_last = True if data_format[-1] == "C" else False
 
+    from functools import reduce
+    sum_sizes = reduce(lambda x, y: x * y, sizes[1:])
+
     div = paddle.unsqueeze(paddle.multiply(x, x), axis=1)
     if not channel_last:
         pad4d_shape = [0, 0, size // 2, (size - 1) // 2]
         pool2d_shape = (size, 1)
-        reshape_shape = [sizes[0], 1, sizes[1], sizes[2], -1]
+        reshape_shape = [
+            sizes[0], 1, sizes[1], sizes[2],
+            int(sum_sizes / (sizes[1] * sizes[2]))
+        ]
         pad5d_shape = [0, 0, 0, 0, size // 2, (size - 1) // 2]
         pool3d_shape = (size, 1, 1)
     else:
         pad4d_shape = [size // 2, (size - 1) // 2, 0, 0]
         pool2d_shape = (1, size)
-        reshape_shape = [sizes[0], 1, sizes[1], -1, sizes[-1]]
+        reshape_shape = [
+            sizes[0], 1, sizes[1], int(sum_sizes / (sizes[1] * sizes[-1])),
+            sizes[-1]
+        ]
         pad5d_shape = [size // 2, (size - 1) // 2, 0, 0, 0, 0]
         pool3d_shape = (1, 1, size)