code: def test_layer(self, use_cpu_only, backend, rank, op):
      shape = np.random.randint(low=2, high=4, size=rank)
      model = tf.keras.Sequential([op(batch_input_shape=shape)])
      run_compare_tf_keras(
          model,
          [random_gen(shape, -10, 10)],
          use_cpu_only=use_cpu_only,
          backend=backend,
      )
  
imports: import random
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.frontend.tensorflow2.test.testing_utils import run_compare_tf_keras
  from coremltools.converters.mil.testing_reqs import *
label_desc: Use image node_id 1 for calling the TestActivation obj's underlying member method code with example usage: obj.test_layer(use_cpu_only, backend, rank, op) without return types