conv2dtanspose out_size to out_padding

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

@@ -1748,16 +1748,19 @@ class OpSet9():
         output_size[1] = (val_x.out_shapes[0][3] - 1
                           ) * strides[1] - 2 * paddings[1] + dilations[1] * (
                               kernel_shape[1] - 1) + 1 + out_padding[1]
+        output_padding = 
         # Conv2DTranspose缺少output_size，只能在forward里头传进output_size
         inputs_dict = {'x': val_x if isinstance(val_x, str) else val_x.name}
         layer_attrs = {
             "in_channels": num_in_channels,
             "out_channels": num_out_channels,
-            'kernel_size': kernel_shape,
+            "kernel_size": kernel_shape,
             "stride": strides,
             "dilation": dilations,
             "padding": paddings,
-            "groups": num_groups}
+            "groups": num_groups,
+            "output_padding":out_padding}
+            
         self.weights[op_name + '.weight'] = self.weights[val_w.name]
         if val_b is not None:
             self.weights[op_name + '.bias'] = self.weights[val_b.name]