code: def forward(self, x):
      output_dict = dict()
      x = self._pad2d(x)
      output_dict["in_conv"] = self._in_conv.forward(x)
      output_dict["down1"] = self._down1.forward(output_dict["in_conv"])
      output_dict["down2"] = self._down2.forward(output_dict["down1"])
      output_dict["down3"] = self._down3.forward(output_dict["down2"])
      output_dict["down4"] = self._down4.forward(output_dict["down3"])
      output_dict["up1"] = self._up1.forward(output_dict["down4"])
      output_dict["up2"] = self._up2.forward(
          paddle.concat(
              (output_dict["down3"], output_dict["up1"]), axis=1
          )
      )
      output_dict["concat"] = paddle.concat(
          (output_dict["down2"], output_dict["up2"]), axis=1
      )
      return output_dict
  
file_path: PaddleOCR/StyleText/arch/encoder.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 EncoderUnet obj's underlying member method code with example usage: obj.forward(x) and returns: output_dict