code: def test_load_model_with_hdf5_with_definition(self):
      (
          kmodel,
          input_data,
          output_data,
      ) = TestModels.kmodel_graph_1_layer()
      keras_model_json_path, keras_model_hdf5_path = dump_keras(
          kmodel, dump_weights=True
      )
      bmodel = BLayer.Model.load_keras(hdf5_path=keras_model_hdf5_path)
      self.assert_allclose(
          kmodel.predict(input_data), bmodel.forward(input_data)
      )
  
imports: from __future__ import print_function
  import numpy
  import pytest
  from numpy.testing import assert_allclose
  import bigdl.dllib.nn.layer
  from bigdl.dllib.keras.converter import WeightLoader
  from bigdl.dllib.keras.converter import DefinitionLoader
  from test.bigdl.test_utils import BigDLTestCase, TestModels
  from bigdl.dllib.nn.keras.keras_utils import *
  import keras.backend
label_desc: Use image node_id 3 for calling the TestLoadModel obj's underlying member method code with example usage: obj.test_load_model_with_hdf5_with_definition() without return types