code: def testReplaceSingleLayer_WithMultipleLayers_InputLayer(self):
      class ReplaceInputWithInputAndActivation(transforms.Transform):
          """InputLayer => (InputLayer -> Activation)."""
  
          def pattern(self):
              return LayerPattern("InputLayer")
  
          def replacement(self, match_layer):
              activation_layer = keras.layers.Activation("linear")
              layer_config = quantize_utils.serialize_layer(
                  activation_layer, use_legacy_format=True
              )
              layer_config["name"] = activation_layer.name
  
              activation_layer_node = LayerNode(
                  layer_config, input_layers=[match_layer]
              )
  
              return activation_layer_node
  
      inp1 = keras.layers.Input((3,))
      inp2 = keras.layers.Input((3,))
      out = keras.layers.Concatenate()([inp1, inp2])
      model = keras.Model([inp1, inp2], out)
  
      transformed_model, _ = ModelTransformer(
          model, [ReplaceInputWithInputAndActivation()]
      ).transform()
  
      self.assertLen(transformed_model.layers, 5)
      self.assertIsInstance(
          transformed_model.layers[0], keras.layers.InputLayer
      )
      self.assertIsInstance(
          transformed_model.layers[1], keras.layers.InputLayer
      )
      self.assertIsInstance(
          transformed_model.layers[2], keras.layers.Activation
      )
      self.assertIsInstance(
          transformed_model.layers[3], keras.layers.Activation
      )
  
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 utils
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import model_transformer
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import transforms
label_desc: Use image node_id 14 for calling the ModelTransformerTest obj's underlying member method code with example usage: obj.testReplaceSingleLayer_WithMultipleLayers_InputLayer() and returns: LayerPattern, activation_layer_node