code: def testFloatWithTwoThreads(self):
      interpreter = interpreter_wrapper.Interpreter(
          model_path=resource_loader.get_path_to_datafile(
              "testdata/permute_float.tflite"
          ),
          num_threads=2,
      )
      interpreter.allocate_tensors()
  
      input_details = interpreter.get_input_details()
      test_input = np.array([[1.0, 2.0, 3.0, 4.0]], dtype=np.float32)
      expected_output = np.array(
          [[4.0, 3.0, 2.0, 1.0]], dtype=np.float32
      )
      interpreter.set_tensor(input_details[0]["index"], test_input)
      interpreter.invoke()
  
      output_details = interpreter.get_output_details()
      output_data = interpreter.get_tensor(output_details[0]["index"])
      self.assertTrue((expected_output == output_data).all())
  
imports: import ctypes
  import io
  import sys
  from unittest import mock
  import numpy
  import tensorflow
  from tensorflow.lite.python import interpreter
  from tensorflow.lite.python.metrics import metrics
  from tensorflow.lite.python.testdata import _pywrap_test_registerer
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the InterpreterTest obj's underlying member method code with example usage: obj.testFloatWithTwoThreads() without return types