code: def keras_simple(tmpdir_factory):
      try:
          from tensorflow import keras
      except ImportError:
          # not all environments provide TensorFlow, so skip this fixture
          # if that is that case.
          return ""
  
      model_file_name = "{}/{}".format(
          tmpdir_factory.mktemp("data"), "simple_conv.h5"
      )
      model = keras.Sequential(
          [
              keras.layers.InputLayer(
                  input_shape=[32, 32, 3], batch_size=1
              ),
              keras.layers.Conv2D(8, kernel_size=(3, 3)),
              keras.layers.Flatten(),
              keras.layers.Dense(64),
          ]
      )
      model.save(model_file_name)
  
      return model_file_name
  
imports: import os
  import pytest
  import tarfile
  import textwrap
  import numpy
  from PIL import Image
  import tvm
  from tvm import relay
  from tvm.driver import tvmc
  from tvm.contrib.download import download_testdata
label_desc: Use image node_id 5 for calling a global function with example usage: keras_simple(tmpdir_factory) and returns: model_file_name, str