code: def __init__(self, backbone_channels):
      super().__init__()
      self.se_block = SEBlock(backbone_channels[4], reduction=4)
      self.conv_lr16x = Conv2dIBNormRelu(
          backbone_channels[4],
          backbone_channels[3],
          5,
          stride=1,
          padding=2,
      )
      self.conv_lr8x = Conv2dIBNormRelu(
          backbone_channels[3],
          backbone_channels[2],
          5,
          stride=1,
          padding=2,
      )
      self.conv_lr = Conv2dIBNormRelu(
          backbone_channels[2],
          1,
          3,
          stride=2,
          padding=1,
          with_ibn=False,
          with_relu=False,
      )
  
imports: from collections import defaultdict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  import scipy
  import paddleseg
  from paddleseg.models import layers, losses
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
label_desc: Use image node_id 1 to create a new LRBranch object from inherited base classes: nn with example: obj = LRBranch(backbone_channels)