code: def testSetsQuantizeActivations_ErrorOnWrongNumberOfActivations(self):
      quantize_activation = keras.activations.relu
  
      with self.assertRaises(ValueError):
          self.quantize_config.set_quantize_activations(self.layer, [])
  
      with self.assertRaises(ValueError):
          self.quantize_config.set_quantize_activations(
              self.layer, [quantize_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.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 11 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj.testSetsQuantizeActivations_ErrorOnWrongNumberOfActivations() without return types