code: def _broadcast_param(param, axes, sizes):
      for axis, size in zip(axes, sizes):
          param = param.expand_dims(axis=axis).broadcast_axes(
              axis=axis, size=size
          )
  
      return param
  
imports: import inspect
  import tempfile
  from pathlib import Path
  from typing import List, Optional, Tuple, cast, Type
  import mxnet
  from mxnet.gluon.block import _flatten
  from gluonts.core.serde import dump_json, load_json
  from gluonts.mx import Tensor
label_desc: Use image node_id 12 for calling a global function with example usage: _broadcast_param(param, axes, sizes) and returns: param