code: def test_skip_dropout(self, use_cpu_only, backend, skip_op):
      shape = np.random.randint(low=1, high=4, size=5)
      if skip_op == tf.keras.layers.SpatialDropout1D:
          shape = shape[:3]
      elif skip_op == tf.keras.layers.SpatialDropout2D:
          shape = shape[:4]
      model = tf.keras.Sequential(
          [skip_op(batch_input_shape=shape, rate=0.5)]
      )
      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 TestSkips obj's underlying member method code with example usage: obj.test_skip_dropout(use_cpu_only, backend, skip_op) without return types