code: def test_lenet_local_predict(self):
      kmodel, X_train, y_train = TestModels.kmodel_seq_lenet_mnist()
      model = with_bigdl_backend(kmodel)
      model.predict(X_train)
  
file_path: BigDL/python/dllib/test/bigdl/nn/test_backend.py
imports: from __future__ import print_function
  from keras.layers import *
  import pytest
  from keras.applications import *
  from bigdl.dllib.keras.converter import *
  from bigdl.dllib.nn.keras.backend import *
  from test.bigdl.test_utils import BigDLTestCase, TestModels
label_desc: Use image node_id 2 for calling the TestBackend obj's underlying member method code with example usage: obj.test_lenet_local_predict() without return types