fix the interpolate

x2paddle/op_mapper/dygraph/pytorch2paddle/aten.py

@@ -4512,21 +4512,6 @@ def aten_upsample_bilinear2d(mapper, graph, node):
                             current_outputs, scope_name)
         layer_inputs["align_corners"] = inputs_name[2]
         current_inputs.append(inputs_name[2])
-#     # 处理输入3和4，构造assert
-#     list_layer_inputs = {}
-#     mapper._check_input(graph, inputs_node[3], inputs_name[3], current_outputs, scope_name)
-#     list_layer_inputs["key"] = inputs_name[3]
-#     current_inputs.append(inputs_name[3])
-#     mapper._check_input(graph, inputs_node[4], inputs_name[4], current_outputs, scope_name)
-#     list_layer_inputs["value"] = inputs_name[4]
-#     current_inputs.append(inputs_name[4])
-#     graph.add_layer(
-#         "prim.assert",
-#         inputs=list_layer_inputs,
-#         outputs=[output_name + "_assert"],
-#         scope_name=scope_name,
-#         type="eq")
-    layer_inputs["scale_factor"] = inputs_name[3]
     layer_attrs["align_mode"] = 0
     layer_attrs["mode"] = string("bilinear")
     graph.add_layer(
@@ -4592,7 +4577,6 @@ def aten_upsample_nearest2d(mapper, graph, node):
         block = PaddleGraph(source_type="pytorch", parent_layer=if_layer, graph_type="dygraph")
         if_layer.add_block(block)
         if_layer.inputs["input-0"] = inputs_name[1]
-    layer_inputs["scale_factor"] = inputs_name[3]
     layer_attrs["align_mode"] = 0
     layer_attrs["mode"] = string("nearest")
     graph.add_layer(