code: def testLayerReLUQuantize(self, activation_type, transform_type):
      # TODO(b/185727342): Add tests for DepthConv and Dense
      input_shape = (3, 3, 3)
      conv_layer = tf.keras.layers.Conv2D(5, 2, input_shape=input_shape)
      if activation_type == "relu":
          act_layer = keras.layers.ReLU(6.0)
      elif activation_type == "act_relu":
          act_layer = keras.layers.Activation("relu")
  
      model = tf.keras.Sequential([conv_layer, act_layer])
  
      transformed_model, updated_metadata = ModelTransformer(
          model,
          [transform_type()],
      ).transform()
  
      self.assertIsInstance(
          updated_metadata.get(model.layers[0].name).get(
              "quantize_config"
          ),
          n_bit_configs.NoOpQuantizeConfig,
      )
  
      inputs = np.random.standard_normal((1,) + input_shape)
      self.assertAllClose(
          transformed_model.predict(inputs), model.predict(inputs)
      )
  
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.experimental.default_n_bit import default_n_bit_quantize_configs
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_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 17 for calling the DefaultTransformsTest obj's underlying member method code with example usage: obj.testLayerReLUQuantize(activation_type, transform_type) without return types