code: def testAnnotateLayerCallPassesTraningBoolean(self):
      class MockLayer(tf.keras.layers.Layer):
          self.training = None
  
          def call(self, training=None):
              self.training = training
  
      layer = MockLayer()
      wrapper = quantize_annotate.QuantizeAnnotate(layer=layer)
      wrapper.call(training=True)
      self.assertTrue(layer.training)
      wrapper.call(training=False)
      self.assertFalse(layer.training)
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_annotate
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
label_desc: Use image node_id 1 for calling the QuantizeAnnotateTest obj's underlying member method code with example usage: obj.testAnnotateLayerCallPassesTraningBoolean() without return types