docstr: Load a mxnet network json file
  
  Parameters
  ----------
  model_path: str
      Path where the model network/params path is (json/params file)
  
  (Deleted)
  prefix: str
      prefix for json file, e.g. prefix-symbol.json
  
  Returns
  -------
  data["nodes"]: all the layer information(including weights, bias) with format
      data["nodes"][layer_num][params = {"name", "op", "attr", "inputs"}]
code: def _load_json_file(model_path):
      """Load a mxnet network json file
  
      Parameters
      ----------
      model_path: str
          Path where the model network/params path is (json/params file)
  
      (Deleted)
      prefix: str
          prefix for json file, e.g. prefix-symbol.json
  
      Returns
      -------
      data["nodes"]: all the layer information(including weights, bias) with format
          data["nodes"][layer_num][params = {"name", "op", "attr", "inputs"}]
  
      """
      import json
  
      # load the model network
      with open(model_path, "r") as data_file:
          data = json.load(data_file)
  
      # adjust the data format
      assert isinstance(data["nodes"], list)
      return data["nodes"]
  
imports: import os
  import sys
  import math
  import mxnet
  import numpy
  from mmdnn.conversion.mxnet.mxnet_graph import MXNetGraph
  import mmdnn.conversion.common.IR.graph_pb2
  from mmdnn.conversion.common.IR.graph_pb2 import NodeDef, GraphDef, DataType
  from mmdnn.conversion.common.DataStructure.parser import Parser
  from mmdnn.conversion.common.utils import *
label_desc: Use image node_id 9 for calling the MXNetParser obj's underlying member method code with example usage: obj._load_json_file(model_path) and returns: data