code: def build(self, input_shape):
      self._trainable_weights.extend(self.layer.trainable_weights)
      super(QuantizeWrapperV2, self).build(input_shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.util import tf_inspect
  from tensorflow_model_optimization.python.core.keras import metrics
  from tensorflow_model_optimization.python.core.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_aware_activation
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 1 for calling the QuantizeWrapperV2 obj's underlying member method code with example usage: obj.build(input_shape) without return types