code: def _convert_resize(net, node, graph, err):
      if USE_DECONV_AS_UPSAMPLE:
          print("add resize deconv param")
          node_name = node.name
          caffe_params = net.params[node_name][0].data
          weights = np.ones(caffe_params.shape).astype("float32")
          np.copyto(
              net.params[node_name][0].data,
              weights,
              casting="same_kind",
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import numpy
  from ._graph import Node, Graph
label_desc: Use image node_id 13 for calling a global function with example usage: _convert_resize(net, node, graph, err) without return types