code: def test_tflite(workspace_dir, board, microtvm_debug, serial_number):
      """Testing a TFLite model."""
      input_shape = (1, 49, 10, 1)
      output_shape = (1, 12)
      build_config = {"debug": microtvm_debug}
  
      model_url = "https://github.com/mlcommons/tiny/raw/bceb91c5ad2e2deb295547d81505721d3a87d578/benchmark/training/keyword_spotting/trained_models/kws_ref_model.tflite"
      model_path = download_testdata(
          model_url, "kws_ref_model.tflite", module="model"
      )
  
      # Import TFLite model
      tflite_model_buf = open(model_path, "rb").read()
      try:
          import tflite
  
          tflite_model = tflite.Model.GetRootAsModel(
              tflite_model_buf, 0
          )
      except AttributeError:
          import tflite.Model
  
          tflite_model = tflite.Model.Model.GetRootAsModel(
              tflite_model_buf, 0
          )
  
      # Load TFLite model and convert to Relay
      relay_mod, params = relay.frontend.from_tflite(
          tflite_model,
          shape_dict={"input_1": input_shape},
          dtype_dict={"input_1 ": "int8"},
      )
  
      target = tvm.micro.testing.get_target("zephyr", board)
      executor = Executor(
          "aot",
          {
              "unpacked-api": True,
              "interface-api": "c",
              "workspace-byte-alignment": 4,
          },
      )
      runtime = Runtime("crt")
      with tvm.transform.PassContext(
          opt_level=3, config={"tir.disable_vectorize": True}
      ):
          lowered = relay.build(
              relay_mod,
              target,
              params=params,
              runtime=runtime,
              executor=executor,
          )
  
      sample_url = "https://github.com/tlc-pack/web-data/raw/main/testdata/microTVM/data/keyword_spotting_int8_6.pyc.npy"
      sample_path = download_testdata(
          sample_url, "keyword_spotting_int8_6.pyc.npy", module="data"
      )
      sample = np.load(sample_path)
  
      project, _ = utils.generate_project(
          workspace_dir,
          board,
          lowered,
          build_config,
          sample,
          output_shape,
          "int8",
          False,
          serial_number,
      )
  
      result, _ = utils.run_model(project)
      assert result == 6
  
file_path: tvm/tests/micro/zephyr/test_zephyr_aot_exec_standalone.py
imports: import pytest
  import numpy
  import tvm
  import tvm.testing
  import tvm.micro.testing
  import tvm.relay
  from tvm.relay.backend import Executor, Runtime
  from tvm.contrib.download import download_testdata
  from .None import utils
label_desc: Use image node_id 1 for calling a global function with example usage: test_tflite(workspace_dir, board, microtvm_debug, serial_number) without return types