tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py [122:150]:
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  @property
  def trainable(self):
    return self.layer.trainable

  @trainable.setter
  def trainable(self, value):
    self.layer.trainable = value

  @property
  def trainable_weights(self):
    return self.layer.trainable_weights

  @property
  def non_trainable_weights(self):
    return self.layer.non_trainable_weights + self._non_trainable_weights

  @property
  def updates(self):
    return self.layer.updates + self._updates

  @property
  def losses(self):
    return self.layer.losses + self._losses

  def get_weights(self):
    return self.layer.get_weights()

  def set_weights(self, weights):
    self.layer.set_weights(weights)
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tensorflow_model_optimization/python/core/sparsity/keras/pruning_wrapper.py [336:364]:
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  @property
  def trainable(self):
    return self.layer.trainable

  @trainable.setter
  def trainable(self, value):
    self.layer.trainable = value

  @property
  def trainable_weights(self):
    return self.layer.trainable_weights

  @property
  def non_trainable_weights(self):
    return self.layer.non_trainable_weights + self._non_trainable_weights

  @property
  def updates(self):
    return self.layer.updates + self._updates

  @property
  def losses(self):
    return self.layer.losses + self._losses

  def get_weights(self):
    return self.layer.get_weights()

  def set_weights(self, weights):
    self.layer.set_weights(weights)
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