code: def __init__(
      self,
      feature_scale=4,
      n_classes=1,
      is_deconv=True,
      norm=nn.InstanceNorm2d,
      is_pool=True,
  ):
      super(UnetGCNECRE_v3, self).__init__(
          feature_scale=feature_scale,
          n_classes=n_classes,
          is_deconv=is_deconv,
          norm=norm,
          is_pool=is_pool,
      )
  
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 UnetGCNECRE_v3 object from inherited base classes: UnetGCNECRE with example: obj = UnetGCNECRE_v3(feature_scale, n_classes, is_deconv, norm, is_pool)