old_contents: #! /usr/bin/python
  # -*- coding: utf-8 -*-
  """
  TensorLayer provides rich layer implementations trailed for
  various benchmarks and domain-specific problems. In addition, we also
  support transparent access to native TensorFlow parameters.
  For example, we provide not only layers for local response normalization, but also
  layers that allow user to apply ``tf.nn.lrn`` on ``network.outputs``.
  More functions can be found in `TensorFlow API <https://www.tensorflow.org/versions/master/api_docs/index.html>`__.
  """
  
  from .activation import *
  from .convolution import *
  from .core import *
  from .dense import *
  from .dropout import *
  from .deprecated import *
  from .embedding import *
  from .extend import *
  # from .flow_control import * # remove for TF 2.0
  from .image_resampling import *
  from .inputs import *
  from .lambda_layers import *
  from .merge import *
  from .noise import *
  from .normalization import *
  from .padding import *
  from .pooling import *
  from .quantize import *
  # from .reconstruction import * # remove for TF 2.0
  from .recurrent import *
  from .scale import *
  from .shape import *
  from .spatial_transformer import *
  from .stack import *
  # from .time_distribution import * # remove for TF 2.0
  from .utils import *
  
new_contents: #! /usr/bin/python
  # -*- coding: utf-8 -*-
  
  from .activation import *
  from .convolution import *
  from .core import *
  from .dense import *
  from .dropout import *
  from .deprecated import *
  from .embedding import *
  from .extend import *
  # from .flow_control import * # remove for TF 2.0
  from .image_resampling import *
  from .inputs import *
  from .lambda_layers import *
  from .merge import *
  from .noise import *
  from .normalization import *
  from .padding import *
  from .pooling import *
  from .quantize import *
  # from .reconstruction import * # remove for TF 2.0
  from .recurrent import *
  from .scale import *
  from .shape import *
  from .spatial_transformer import *
  from .stack import *
  # from .time_distribution import * # remove for TF 2.0
  from .utils import *
  
subject: Update __init__.py