code: def test_load_def_weights_kmodel_seq_lenet_mnist(self):
      K.set_image_dim_ordering("th")
      (
          kmodel,
          input_data,
          output_data,
      ) = TestModels.kmodel_seq_lenet_mnist()
      self.__kmodel_load_def_weight_test(kmodel, 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 7 for calling the TestLoadModel obj's underlying member method code with example usage: obj.test_load_def_weights_kmodel_seq_lenet_mnist() without return types