deal with comments

x2paddle/op_mapper/caffe2paddle/caffe_op_mapper.py

@@ -768,6 +768,8 @@ class CaffeOpMapper():
                     node.data[1]).astype("float32")
         params = node.layer.scale_param
         axis = params.axis
+        if axis < 0:
+            axis += len(node.in_shapes[0])
         if len(node.inputs) == 2:
             input0 = self.graph.get_input_node(node, idx=0, copy=True)
             input1 = self.graph.get_input_node(node, idx=1, copy=True)
@@ -776,11 +778,6 @@ class CaffeOpMapper():
             inputs_dict = {}
             inputs_dict['x'] = input0_name
             inputs_dict['y'] = input1_name
-            self.paddle_graph.add_layer(
-                "paddle.fluid.layers.elementwise_mul",
-                inputs=inputs_dict,
-                outputs=[node.layer_name + "_mul"],
-                axis=1)
         else:
             self.paddle_graph.add_layer(
                 "self.create_parameter",
@@ -793,13 +790,7 @@ class CaffeOpMapper():
             inputs_dict = {}
             inputs_dict['x'] = input0_name
             inputs_dict['y'] = node.layer_name + "_cparam1"
-            if len(node.in_shapes[0]) == 2:
-                self.paddle_graph.add_layer(
-                    "paddle.multiply",
-                    inputs=inputs_dict,
-                    outputs=[node.layer_name + "_mul"])
-            else:
-                if axis == -1 or axis == len(node.in_shapes[0]) - 1:
+        if axis == len(node.in_shapes[0]) - 1:
             self.paddle_graph.add_layer(
                 "paddle.multiply",
                 inputs=inputs_dict,
@@ -820,12 +811,10 @@ class CaffeOpMapper():
         inputs_dict['x'] = node.layer_name + "_mul"
         inputs_dict['y'] = node.layer_name + "_cparam2"
         output_shape = node.out_shapes[0]
-        if axis == -1:
+        if axis == len(output_shape) - 1:
             self.paddle_graph.add_layer(
                 "paddle.add", inputs=inputs_dict, outputs=[node.layer_name])
         else:
-            if axis < 0:
-                axis = axis + len(output_shape)
             param2_shape = self.params[node.layer_name + "_cparam2"].shape
             param2_shape_len = len(param2_shape)
             diff_len = len(output_shape) - axis - param2_shape_len