code: def get_tkcnet(
      num_classes=1, backbone="resnet101", pretrained=True, **kwargs
  ):
      """TKCN model from the paper `"Tree-structured Kronocker Convolutional Network for Semantic Segmentation" """
  
      model = TKCNet(
          num_classes=num_classes,
          backbone=backbone,
          pretrained=pretrained,
          **kwargs,
      )
      return model
  
file_path: pywick/pywick/models/segmentation/testnets/tkcnet/tkcnet.py
imports: import torch
  import torch.nn
  from torch.nn.functional import upsample
  from .base import BaseNet
label_desc: Use image node_id 1 for calling a global function with example usage: get_tkcnet(num_classes, backbone, pretrained) and returns: model