fix the satic bug

x2paddle/op_mapper/static/caffe2paddle/caffe_op_mapper.py

@@ -190,7 +190,7 @@ class CaffeOpMapper(OpMapper):
 
     def get_input_name(self, node):
         if hasattr(node, "index"):
-            return node.layer_name + "[{}]".format(node.index)
+            return "{}_{}".format(node.layer_name, node.index)
         else:
             return node.layer_name
 
@@ -423,9 +423,11 @@ class CaffeOpMapper(OpMapper):
         if slice_dim != 1 and axis == 1:
             axis = slice_dim
         output_shape = node.output_shape
-        sections_list = []
-        for s in output_shape:
+        sections_list = list()
+        outputs_list = list()
+        for i, s in enumerate(output_shape):
             sections_list.append(s[axis])
+            outputs_list.append("{}_{}".format(node.layer_name, i))
         layer_attrs = {
             'num_or_sections': sections_list,
             'dim': axis,
@@ -434,7 +436,7 @@ class CaffeOpMapper(OpMapper):
         self.paddle_graph.add_layer(
             kernel="fluid.layers.split",
             inputs={"input": self.get_input_name(input)},
-            outputs=[node.layer_name],
+            outputs=outputs_list,
             **layer_attrs)
 
     def Concat(self, node):
@@ -958,7 +960,7 @@ class CaffeOpMapper(OpMapper):
                 kwargs[k]["top_k"] = v.top_k
                 kwargs[k]["eta"] = v.eta
         self.paddle_graph.add_layer(
-            kernel="combination_layer:{}".format(op),
+            kernel="custom_layer:{}".format(op),
             inputs={"inputs": inputs_list},
             outputs=[node.layer_name],
             **kwargs)