code: def test_selu(self, compute_unit, backend, rank):
      input_shape = np.random.randint(low=1, high=6, size=rank)
  
      @make_tf_graph([input_shape])
      def build_model(x):
          return tf.keras.activations.selu(x)
  
      model, inputs, outputs = build_model
  
      input_values = [random_gen(input_shape, -10.0, 10.0)]
      input_dict = dict(zip(inputs, input_values))
      TensorFlowBaseTest.run_compare_tf(
          model,
          input_dict,
          outputs,
          compute_unit=compute_unit,
          backend=backend,
      )
  
file_path: coremltools/coremltools/converters/mil/frontend/tensorflow/test/test_composite_ops.py
imports: import itertools
  import numpy
  import pytest
  from coremltools.converters.mil.frontend.tensorflow.test.testing_utils import TensorFlowBaseTest, make_tf_graph
  from coremltools.converters.mil.frontend.tensorflow.tf_op_registry import _TF_OPS_REGISTRY, register_tf_op
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.testing_reqs import backends, compute_units
  from coremltools.converters.mil.testing_utils import random_gen
label_desc: Use image node_id 2 for calling the TestCompositeOp obj's underlying member method code with example usage: obj.test_selu(compute_unit, backend, rank) and returns: tf