code: def testSetsQuantizeActivations(self):
      layer = self._simple_dense_layer()
      quantize_activation = keras.activations.relu
  
      quantize_config = n_bit_registry.DefaultNBitQuantizeConfig(
          ["kernel"],
          ["activation"],
          False,
          num_bits_weight=4,
          num_bits_activation=4,
      )
      quantize_config.set_quantize_activations(
          layer, [quantize_activation]
      )
  
      self.assertEqual(layer.activation, quantize_activation)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_registry
label_desc: Use image node_id 5 for calling the DefaultNBitQuantizeConfigTest obj's underlying member method code with example usage: obj.testSetsQuantizeActivations() without return types