code: def test(self, use_cpu_only, backend, n):
      # input shape 2D tensor (batch size, features)
      # output shape 3D tensor (batch size, n, features)
      shape = np.random.randint(low=1, high=4, size=2)
      model = tf.keras.Sequential(
          [tf.keras.layers.RepeatVector(batch_input_shape=shape, n=n)]
      )
      run_compare_tf_keras(
          model,
          [random_gen(shape, rand_min=-10, rand_max=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 TestRepeatVector obj's underlying member method code with example usage: obj.test(use_cpu_only, backend, n) without return types