code: def testSetsQuantizeActivations(self):
      quantize_activations = [
          keras.activations.relu,
          keras.activations.softmax,
          keras.activations.relu,
          keras.activations.softmax,
      ]
  
      self.quantize_config.set_quantize_activations(
          self.layer, quantize_activations
      )
  
      self.assertEqual(
          self._expected_activations(), quantize_activations
      )
  
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.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 8 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj.testSetsQuantizeActivations() without return types