code: def test_list(self):
      (
          model,
          inputs,
          outputs,
      ) = TestTensorArray.get_dynamic_elem_shape_model()
      input_values = [np.random.rand(2, 3)]
      input_dict = dict(zip(inputs, input_values))
      _, mlmodel, _, _ = run_compare_tf(
          model,
          input_dict,
          outputs,
          compute_unit=ct.ComputeUnit.CPU_ONLY,
          backend=("mlprogram", "fp16"),
      )
      roundtrip_and_compare_mlmodel(
          mlmodel, {"Placeholder": input_values[0]}
      )
  
imports: import numpy
  import pytest
  import coremltools
  from coremltools import ComputeUnit
  from coremltools._deps import _HAS_TF_2, _HAS_TORCH
  from coremltools.converters._converters_entry import _get_metadata_from_mlmodel
  from coremltools.converters.mil import Builder
  from coremltools.converters.mil.converter import mil_convert
  from coremltools.converters.mil.frontend.milproto.load import load
  from coremltools.converters.mil.frontend.tensorflow.test.test_ops import TestTensorArray
  from coremltools.converters.mil.frontend.tensorflow.test.testing_utils import run_compare_tf
  from coremltools.converters.mil.mil.ops.tests.testing_utils import compare_backend
  from coremltools.converters.mil.testing_utils import get_op_names_in_program, get_op_types_in_program
label_desc: Use image node_id 6 for calling the TestE2ENumericalCorrectness obj's underlying member method code with example usage: obj.test_list() without return types