fix the normilize

x2paddle/op_mapper/caffe_custom_layer/normalize.py

@@ -12,10 +12,12 @@ def normalize_layer(inputs,
                     input_shape=None,
                     name=None):
     assert across_spatial == False, "Only support across_spatial == False for Normalize"
+
     input = inputs[0]
     l2_norm = fluid.layers.l2_normalize(input, axis=1, name=name + '_l2')
     scale_param = fluid.layers.create_parameter(
-        shape=[1] if channel_shared else [input_shape[0][0], 1, 1, input_shape[0][1]],
+        shape=[1]
+        if channel_shared else [input_shape[0][0], 1, 1, input_shape[0][1]],
         dtype=input.dtype,
         attr=name + '_scale')
     scale_param = fluid.layers.reshape(x=scale_param, \
@@ -25,6 +27,7 @@ def normalize_layer(inputs,
                                        axis=-1 if channel_shared else 1)
     return out
 
+
 def normalize_weights(name, data=None):
     weights_name = [name + '_scale']
     return weights_name