diff --git a/x2paddle/op_mapper/caffe2paddle/caffe_custom_layer/normalize.py b/x2paddle/op_mapper/caffe2paddle/caffe_custom_layer/normalize.py
index db22d14b9c77bc6387adaf9c9decb5cf62d05b14..184df4c1cba2d85d72e828cb97f7e84a07926e22 100644
--- a/x2paddle/op_mapper/caffe2paddle/caffe_custom_layer/normalize.py
+++ b/x2paddle/op_mapper/caffe2paddle/caffe_custom_layer/normalize.py
@@ -20,7 +20,7 @@ class Normalize(object):
         self.axis = axis
 
     def __call__(self, x, param):
-        l2_norm = paddle.norm(x=x, p=2, axis=1)
+        l2_norm = paddle.norm(x=x, p=2, axis=1, keepdim=True)
         param = paddle.reshape(param, [param.shape[-1]])
         perm = list(range(len(l2_norm.shape)))
         perm.pop(self.axis)
diff --git a/x2paddle/op_mapper/caffe2paddle/caffe_op_mapper.py b/x2paddle/op_mapper/caffe2paddle/caffe_op_mapper.py
index a9a9794b3380d2b9f88ce5542d91b36b081b28ab..8037308146c1752dc3b3270f0646a24e09e07124 100644
--- a/x2paddle/op_mapper/caffe2paddle/caffe_op_mapper.py
+++ b/x2paddle/op_mapper/caffe2paddle/caffe_op_mapper.py
@@ -429,10 +429,10 @@ class CaffeOpMapper():
         assert params.local_size % 2 == 1
         alpha = params.alpha / float(params.local_size)
         layer_attrs = {
-            "n": params.local_size,
-            "k": params.k,
+            "size": params.local_size,
             "alpha": alpha,
             "beta": params.beta,
+            "k": params.k,
         }
         self.paddle_graph.add_layer(
             "paddle.nn.LocalResponseNorm",