code: def load_param(param, weight, transpose=None):
      if isinstance(param, chainer.Variable):
          param = param.array
  
      if transpose is not None:
          weight = weight.transpose(transpose)
  
      param[:] = weight
  
file_path: chainercv/examples/deeplab/tf2npz.py
imports: import argparse
  import chainer
  from chainercv.datasets import ade20k_semantic_segmentation_label_names
  from chainercv.datasets import cityscapes_semantic_segmentation_label_names
  from chainercv.datasets import voc_semantic_segmentation_label_names
  from chainercv.links import DeepLabV3plusXception65
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: load_param(param, weight, transpose) without return types