code: def __init__(self, in_size, out_size, norm, is_deconv=False):
      super(UnetUpECRE, self).__init__()
  
      self.conv = UnetConv2D(in_size + out_size, out_size, norm)
      self.up = ECRE(in_size)
  
      # initialise the blocks
      for m in self.children():
          if m.__class__.__name__.find("UnetConv2D") != -1:
              continue
          m.apply(weights_init_kaiming)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .unet_layer import UnetConv2D, UnetUpConv2D, weights_init_kaiming, ConvBNReLU
  from .ExFuseLayer import SEB, GCN, ECRE, DAP, UnetExFuseLevel
label_desc: Use image node_id 1 to create a new UnetUpECRE object from inherited base classes: nn with example: obj = UnetUpECRE(in_size, out_size, norm, is_deconv)