code: def testAddReLUQuantize(self, activation_type, transform_type):
      add = keras.layers.Add()
      if activation_type == "relu":
          activation = keras.layers.ReLU(6.0)
      elif activation_type == "act_relu":
          activation = keras.layers.Activation("relu")
  
      inp1 = keras.layers.Input((3,))
      inp2 = keras.layers.Input((3,))
      x = activation(add([inp1, inp2]))
      model = keras.Model([inp1, inp2], x)
  
      transformed_model, updated_metadata = ModelTransformer(
          model,
          [transform_type()],
      ).transform()
  
      add_layer = transformed_model.layers[2]
  
      self.assertIsInstance(
          updated_metadata.get(add_layer.name).get("quantize_config"),
          default_8bit_quantize_configs.NoOpQuantizeConfig,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_aware_activation
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_layer
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_configs
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_transforms
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import model_transformer
  from tensorflow_model_optimization.python.core.quantization.keras.layers import conv_batchnorm_test_utils
  from tensorflow_model_optimization.python.core.quantization.keras.layers import dense_batchnorm_test_utils
label_desc: Use image node_id 16 for calling the DefaultTransformsTest obj's underlying member method code with example usage: obj.testAddReLUQuantize(activation_type, transform_type) without return types