code: def forward(self, x):
      residual = self.conv1(x)
      residual = self.bn1(residual)
      residual = self.prelu(residual)
      residual = self.conv2(residual)
      residual = self.bn2(residual)
      residual = self.gru1(residual.transpose([0, 1, 3, 2])).transpose(
          [0, 1, 3, 2]
      )
  
      return self.gru2(x + residual)
  
imports: import math
  import paddle
  import paddle.nn.functional
  from paddle import nn
  from collections import OrderedDict
  import sys
  import numpy
  import warnings
  import math, copy
  import cv2
  from .tps_spatial_transformer import TPSSpatialTransformer
  from .stn import STN
  from ppocr.modeling.heads.sr_rensnet_transformer import Transformer
label_desc: Use image node_id 2 for calling the RecurrentResidualBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self