code: def interpreter():
      """Returns a TFLite interpreter with the MLPerf Tiny visual wakewords model loaded, with an
      elephant image run through it, and with all intermediate layer outputs saved.
      """
  
      # Make sure the Tensorflow import is skipped if the test is being skipped. This is needed to
      # prevent the "python: i386" tests from failing, as they don't have Tensorflow installed.
      import tensorflow as tf  # pylint: disable=import-outside-toplevel
  
      # Download the reference model
      rel_model_path = "model_microtvm_mobilenetv1.tflite"
      file = download_testdata(
          MODEL_URL, rel_model_path, overwrite=False
      )
  
      # Load it into TensorFlow and allocate memory
      interpreter = tf.lite.Interpreter(
          file, experimental_preserve_all_tensors=True
      )
      interpreter.allocate_tensors()
  
      # Download an image. The neuron activations are strange if we use random data or ones,
      # so downloading an image is useful.
      rel_image_path = "image_microtvm_mobilenetv1.jpg"
      img_path = download_testdata(
          SAMPLE_URL, rel_image_path, overwrite=False
      )
      image = Image.open(img_path).resize((96, 96))
      image_data_hwc_uint8 = np.asarray(image)
      assert image_data_hwc_uint8.shape == (96, 96, 3)
      assert image_data_hwc_uint8.dtype == "uint8"
      image_data_nhwc_int8 = (
          (image_data_hwc_uint8 + 128)
          .view("int8")
          .reshape((1, 96, 96, 3))
      )
  
      # Load the image into the TFLite interpreter and compute all intermediate tensor values
      input_details = interpreter.get_input_details()
      interpreter.set_tensor(
          input_details[0]["index"], image_data_nhwc_int8
      )
      interpreter.invoke()
      return interpreter
  
imports: import numpy
  from PIL import Image
  import pytest
  import tvm
  import tvm.testing
  from tvm import meta_schedule, relay
  from tvm.testing.aot import AOTTestModel, run_and_check, AOTCompiledTestModel
  from tvm.relay.backend import Executor, Runtime
  from tvm.micro.testing.aot_test_utils import AOT_CORSTONE300_RUNNER
  from tvm.contrib.download import download_testdata
  from test_generalized_conv2d import change_ndarray_layout
label_desc: Use image node_id 1 for calling a global function with example usage: interpreter() and returns: interpreter