code: def testDoesNotQuantizeNoOpActivation(self):
      layer = self.TestLayer()
      layer.activation = QuantizeAwareActivation(
          quantize_aware_activation.NoOpActivation(),
          self.quantizer,
          0,
          layer,
      )
  
      model = keras.Sequential([layer])
  
      x = np.array([[-2.0, -1.0, 1.0, 2.0]])
      self.assertAllClose(x, model.predict(x))
      self.assertEmpty(layer.weights)
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation_test.py
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 quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 6 for calling the QuantizeAwareQuantizationTest obj's underlying member method code with example usage: obj.testDoesNotQuantizeNoOpActivation() without return types