fix bug

x2paddle/op_mapper/onnx2paddle/opset9/opset.py

@@ -672,7 +672,7 @@ class OpSet9():
             perm = list(range(len(val_x.out_shapes[0])))
             perm = [axis] + perm[:axis] + perm[axis + 1:]
             attr_trans = {'perm': perm}
-            name_trans = val_x.layer_name + '_trans'
+            name_trans = val_x.layer_name + '_transpose'
             node.fluid_code.add_layer(
                 'transpose',
                 inputs=val_x,
@@ -684,8 +684,12 @@ class OpSet9():
                         'index': indices_reshape},
                 output=node,
                 param_attr=None)
+            input_transpose = node.layer_name + '_transpose'
             node.fluid_code.add_layer(
-                'transpose', inputs=node, output=node, param_attr=attr_trans)
+                'transpose',
+                inputs=node,
+                output=input_transpose,
+                param_attr=attr_trans)
             val_x_shape = val_x.out_shapes[0]
             reshaped_shape = []
             for i in perm:
@@ -694,7 +698,7 @@ class OpSet9():
                 reshaped_shape.append(i)
             node.fluid_code.add_layer(
                 'reshape',
-                inputs=node,
+                inputs=input_transpose,
                 output=node,
                 param_attr={'shape': reshaped_shape})
 
@@ -748,17 +752,21 @@ class OpSet9():
                 }
             else:
                 if starts.dtype != 'int32':
+                    starts_cast = starts.layer_name + '_cast'
                     node.fluid_code.add_layer(
                         'cast',
                         inputs=starts,
-                        output=starts,
+                        output=starts_cast,
                         param_attr={'dtype': string('int32')})
+                    attr['starts'] = starts_cast
                 if ends.dtype != 'int32':
+                    ends_cast = ens.layer_name + '_cast'
                     node.fluid_code.add_layer(
                         'cast',
                         inputs=ends,
-                        output=ends,
+                        output=ends_cast,
                         param_attr={'dtype': string('int32')})
+                    attr['ends'] = ends_cast
         else:
             starts = node.get_attr('starts')
             ends = node.get_attr('ends')