code: def load_checkpoint(prefix, epoch):
      """Load model checkpoint from file.
  
      Parameters
      ----------
      prefix : str
          Prefix of model name.
      epoch : int
          Epoch number of model we would like to load.
  
      Returns
      -------
      symbol : Symbol
          The symbol configuration of computation network.
      arg_params : dict of str to NDArray
          Model parameter, dict of name to NDArray of net's weights.
      aux_params : dict of str to NDArray
          Model parameter, dict of name to NDArray of net's auxiliary states.
  
      Notes
      -----
      - Symbol will be loaded from ``prefix-symbol.json``.
      - Parameters will be loaded from ``prefix-epoch.params``.
      """
      symbol = sym.load(f"{prefix}-symbol.json")
      arg_params, aux_params = load_params(prefix, epoch)
      return (symbol, arg_params, aux_params)
  
file_path: mxnet/python/mxnet/model.py
imports: import os
  import logging
  from collections import namedtuple
  import numpy
  from .None import ndarray
  from .None import symbol
  from .None import kvstore
  from .device import cpu
label_desc: Use image node_id 9 for calling a global function with example usage: load_checkpoint(prefix, epoch) and returns: symbol,  arg_params,  aux_params