code: def _load_keras(self, json_path, hdf5_path):
      with open(json_path, "r") as jp:
          kmodel = model_from_json(jp.read())
      kmodel.load_weights_from_hdf5(hdf5_path)
      bmodel = DefinitionLoader.from_json_path(json_path)
      WeightLoader.load_weights_from_hdf5(bmodel, kmodel, hdf5_path)
      return kmodel, bmodel
  
imports: from __future__ import print_function
  import numpy
  from keras.models import Sequential, Model
  from keras.layers.core import *
  from keras.layers.convolutional import *
  from keras.layers import Dense, Dropout, Input
  from keras.optimizers import RMSprop
  from bigdl.dllib.utils.common import *
  from bigdl.dllib.keras.converter import *
  from bigdl.dllib.keras.converter import WeightLoader, WeightsConverter
  import numpy
  from unittest import TestCase
  import keras
  from bigdl.dllib.nn.keras.keras_utils import *
label_desc: Use image node_id 5 for calling the BigDLTestCase obj's underlying member method code with example usage: obj._load_keras(json_path, hdf5_path) and returns: kmodel,  bmodel