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)
  
      size = paddle.shape(residual)
      residual = residual.reshape([size[0], size[1], -1])
      residual = self.feature_enhancer(residual)
      residual = residual.reshape([size[0], size[1], size[2], size[3]])
      return x + residual
  
imports: import math
  import warnings
  import numpy
  import paddle
  from paddle import nn
  import string
  from .tps_spatial_transformer import TPSSpatialTransformer
  from .stn import STN
  from .tsrn import GruBlock, mish, UpsampleBLock
  from ppocr.modeling.heads.sr_rensnet_transformer import Transformer, LayerNorm, PositionwiseFeedForward, MultiHeadedAttention
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: unknown