code: def setUp(self):
      super().setUp()
      dense_generator = lambda a, b: tf.keras.layers.Dense(b)
      self._input_dim = 2
      self._output_dim = 3
      self._model = common_test_utils.make_two_layer_functional_model(
          dense_generator, self._input_dim, self._output_dim
      )
  
imports: from collections.abc import Mapping, Sequence
  from typing import Any, Optional
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_privacy.privacy.fast_gradient_clipping import clip_grads
  from tensorflow_privacy.privacy.fast_gradient_clipping import common_test_utils
  from tensorflow_privacy.privacy.fast_gradient_clipping import layer_registry
  from tensorflow_privacy.privacy.fast_gradient_clipping import type_aliases
label_desc: Use image node_id 1 for calling the ComputeClippedGradsAndOutputsTest obj's underlying member method code with example usage: obj.setUp() without return types