code: def run_compare_tf_keras(
      model,
      input_values,
      inputs_for_conversion=None,
      compute_unit=ct.ComputeUnit.CPU_ONLY,
      frontend_only=False,
      frontend="tensorflow",
      backend=("neuralnetwork", "fp32"),
      atol=1e-04,
      rtol=1e-05,
  ):
      res = run_compare_tf_keras(
          model,
          input_values,
          inputs_for_conversion=inputs_for_conversion,
          compute_unit=compute_unit,
          frontend_only=frontend_only,
          frontend=frontend,
          backend=backend,
          atol=atol,
          rtol=rtol,
      )
      alist = list(res)
      alist.append(TensorFlow2BaseTest.testclassname)
      alist.append(TensorFlow2BaseTest.testmodelname)
      return tuple(alist)
  
file_path: coremltools/coremltools/converters/mil/frontend/tensorflow2/test/testing_utils.py
imports: import numpy
  import pytest
  from tensorflow.python.framework import dtypes
  import coremltools
  import coremltools.models.utils
  from coremltools.converters.mil.frontend.tensorflow.test.testing_utils import TensorFlowBaseTest, get_tf_node_names
  from coremltools.converters.mil.input_types import RangeDim, TensorType
  from coremltools.converters.mil.testing_utils import compare_backend, ct_convert, validate_minimum_deployment_target
  from coremltools.models.utils import _macos_version
label_desc: Use image node_id 2 for calling the TensorFlow2BaseTest obj's underlying member method code with example usage: obj.run_compare_tf_keras(model, input_values, inputs_for_conversion, compute_unit, frontend_only, frontend, backend, atol, rtol) and returns: tuple