code: def forward(self, x, y, feature2, feature1):
      output_dict = dict()
      output_dict["conv_blocks"] = self._conv_blocks(
          paddle.concat((x, y), axis=1)
      )
      output_dict["up1"] = self._up1.forward(output_dict["conv_blocks"])
      output_dict["up2"] = self._up2.forward(
          paddle.concat((output_dict["up1"], feature2), axis=1)
      )
      output_dict["up3"] = self._up3.forward(
          paddle.concat((output_dict["up2"], feature1), axis=1)
      )
      output_dict["pad2d"] = self._pad2d.forward(output_dict["up3"])
      output_dict["out_conv"] = self._out_conv.forward(
          output_dict["pad2d"]
      )
      return output_dict
  
file_path: PaddleOCR/StyleText/arch/decoder.py
imports: import paddle
  import paddle.nn
  from arch.base_module import SNConv, SNConvTranspose, ResBlock
label_desc: Use image node_id 2 for calling the DecoderUnet obj's underlying member method code with example usage: obj.forward(x, y, feature2, feature1) and returns: output_dict