code: def test_quantized_mobilenet():
      Device.load("test_config.json")
  
      if skip_runtime_test():
          return
  
      try:
          import tvm.relay.testing.tf as tf_testing
      except ImportError:
          pytest.skip("Missing Tflite support")
  
      device = Device()
  
      def get_model():
          model_path = tf_testing.get_workload_official(
              "https://storage.googleapis.com/download.tensorflow.org/"
              "models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz",
              "mobilenet_v1_1.0_224_quant.tflite",
          )
          inputs = {"input": ((1, 224, 224, 3), "uint8")}
          mod, params = _get_tflite_model(
              model_path, inputs_dict=inputs
          )
          return mod, params, inputs
  
      _build_and_run_network(
          *get_model(),
          device=device,
          tvm_ops=3,
          acl_partitions=30,
          atol=10,
          rtol=0,
      )
  
file_path: tvm/tests/python/contrib/test_arm_compute_lib/test_network.py
imports: from distutils.version import LooseVersion
  import numpy
  import pytest
  from tvm import relay
  from test_arm_compute_lib.infrastructure import Device, skip_runtime_test, build_and_run, verify
label_desc: Use image node_id 6 for calling a global function with example usage: test_quantized_mobilenet() and returns: mod,  params,  inputs