class_docstr: The class :class:`LayerList` is a linear stack of layers.
  
  The :class:`LayerList` can be created by passing a list of layer instances.
  The given layer instances will be automatically connected one by one.
  
  Parameters
  ----------
  layers: list of Layer
      A list of layers.
  name : str or None
      A unique layer name. If None, a unique name will be automatically assigned.
  
  Methods
  ---------
  __init__()
      Initializing the LayerList.
  weights()
      A collection of weights of all the layer instances.
  build()
      Build the LayerList. The layer instances will be connected automatically one by one.
  forward()
      Forward the computation. The computation will go through all layer instances.
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docstr: WARINING: This function should be called with great caution.
  
  self.inputs and self.outputs will be set as None but not deleted.
code: def _release_memory(self):
      """
      WARINING: This function should be called with great caution.
  
      self.inputs and self.outputs will be set as None but not deleted.
      """
      super(LayerList, self)._release_memory()
      for layer in self.layers:
          layer._release_memory()
  
imports: import inspect
  from abc import abstractmethod
  import tensorflow
  import tensorlayer
  from tensorlayer import logging
  from tensorlayer.decorators import deprecated_alias, private_method, protected_method
  from tensorlayer.files import utils
  from tensorlayer.layers.utils import get_variable_with_initializer, list_remove_repeat
label_desc: Use image node_id 9 for calling the LayerList obj's underlying member method code with example usage: obj._release_memory() without return types