code: def testPatternDoesNotSupportMatch_IntermediateNodeWithMultipleConsumers(
      self,
  ):
      # Dense -> Dense2  -> ReLU
      #                  -> ReLU2
      #
      # where Dense2, an intermediate node in the pattern, has multiple consumers
      # (ReLU and ReLU2).
      pattern = LayerPattern(
          "ReLU",
          inputs=[
              LayerPattern("Dense", inputs=[LayerPattern("Dense")])
          ],
      )
      transform = self.VerifyMatch(pattern)
  
      inp = keras.layers.Input(3)
      x = keras.layers.Dense(2)(inp)
      y = keras.layers.Dense(2)(x)
      out1 = keras.layers.ReLU(6.0)(y)
      out2 = keras.layers.ReLU(6.0)(y)
  
      model = keras.Model(inp, [out1, out2])
  
      ModelTransformer(model, [transform]).transform()
      self.assertFalse(transform.matched())
  
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 26 for calling the ModelTransformerTest obj's underlying member method code with example usage: obj.testPatternDoesNotSupportMatch_IntermediateNodeWithMultipleConsumers() without return types