code: def testReturnsActivationConfig_Activation(self):
      activation_layer = keras.layers.Activation("relu")
  
      quantize_config = self.quantize_registry.get_quantize_config(
          activation_layer
      )
  
      self.assertIsInstance(
          quantize_config,
          default_8bit_quantize_registry.Default8BitActivationQuantizeConfig,
      )
      self._assert_activation_quantizers(
          quantize_config.get_output_quantizers(activation_layer)
      )
  
      quantize_config.quantize_output = False
      self.assertEmpty(
          quantize_config.get_output_quantizers(activation_layer)
      )
  
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 13 for calling the QuantizeRegistryTest obj's underlying member method code with example usage: obj.testReturnsActivationConfig_Activation() without return types