fix

x2paddle/op_mapper/dygraph/onnx2paddle/opset9/opset.py

@@ -298,6 +298,8 @@ class OpSet9():
                 
                 # TODO(syf): all use 
                 inputs['out_shape'] = var_hw
+                ipt = inputs.pop("x")
+                inputs["input"] = ipt
                 mode = node.get_attr('mode', 'nearest')
                 attrs = {"align_corners": False}
                 self.paddle_graph.add_layer(
@@ -455,24 +457,11 @@ class OpSet9():
                     outputs=[node.layer_name],
                     shape=[1])
         else:
-            if str(val_x.dtype) == 'bool':
-                val_x_cast = val_x.layer_name + '_cast'
-                self.paddle_graph.add_layer(
-                    'paddle.cast',
-                    inputs={"x": self.get_node_name(val_x)},
-                    outputs=[val_x_cast],
-                    dtype=string('int64'))
-                self.paddle_graph.add_layer(
-                    'paddle.unsqueeze',
-                    inputs={"x": val_x_cast},
-                    outputs=[node.layer_name],
-                    **layer_attrs)
-            else:
-                self.paddle_graph.add_layer(
-                    'paddle.unsqueeze', 
-                    inputs={"x": self.get_node_name(val_x)}, 
-                    outputs=[node.layer_name],
-                    **layer_attrs)
+            self.paddle_graph.add_layer(
+                'paddle.unsqueeze', 
+                inputs={"x": self.get_node_name(val_x)}, 
+                outputs=[node.layer_name],
+                **layer_attrs)
 
     @print_mapping_info
     def Shrink(self, node):
@@ -1013,25 +1002,6 @@ class OpSet9():
                 inputs={'x': self.get_node_name(val_x)},
                 outputs=[node.layer_name],
                 shape=node.out_shapes[0])
-        elif val_shape.dtype == 'int64':
-            val_shape_cast = val_shape.layer_name + '_cast'
-            self.paddle_graph.add_layer(
-                'paddle.cast',
-                inputs={'x': self.get_node_name(val_shape)},
-                outputs=[val_shape_cast],
-                dtype=string('int32'))
-            # shape may be [], come form Gather by scalar indices
-            if len(val_shape.out_shapes[0]) > 0:
-                self.paddle_graph.add_layer(
-                    'paddle.reshape',
-                    inputs={'x': self.get_node_name(val_shape_cast)},
-                    outputs=[val_shape_cast],
-                    shape=val_shape.out_shapes[0])
-            self.paddle_graph.add_layer(
-                'paddle.reshape',
-                inputs={'x': elf.get_node_name(val_x),
-                        'shape': val_shape_cast},
-                outputs=[node.layer_name])
         else:
             # shape may be [], come form Gather by scalar indices
             if len(val_shape.out_shapes[0]) > 0: