code: def __init__(
      self, in_channels, out_channels, shortcut=True, **kwargs
  ):
      super(RSEFPN, self).__init__()
      self.out_channels = out_channels
      self.ins_conv = nn.LayerList()
      self.inp_conv = nn.LayerList()
      self.intracl = False
      if "intracl" in kwargs.keys() and kwargs["intracl"] is True:
          self.intracl = kwargs["intracl"]
          self.incl1 = IntraCLBlock(
              self.out_channels // 4, reduce_factor=2
          )
          self.incl2 = IntraCLBlock(
              self.out_channels // 4, reduce_factor=2
          )
          self.incl3 = IntraCLBlock(
              self.out_channels // 4, reduce_factor=2
          )
          self.incl4 = IntraCLBlock(
              self.out_channels // 4, reduce_factor=2
          )
  
      for i in range(len(in_channels)):
          self.ins_conv.append(
              RSELayer(
                  in_channels[i],
                  out_channels,
                  kernel_size=1,
                  shortcut=shortcut,
              )
          )
          self.inp_conv.append(
              RSELayer(
                  out_channels,
                  out_channels // 4,
                  kernel_size=3,
                  shortcut=shortcut,
              )
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle import ParamAttr
  import os
  import sys
  from ppocr.modeling.necks.intracl import IntraCLBlock
  from ppocr.modeling.backbones.det_mobilenet_v3 import SEModule
label_desc: Use image node_id 1 to create a new RSEFPN object from inherited base classes: nn with example: obj = RSEFPN(in_channels, out_channels, shortcut)