old_contents: """Collection of :class:`~chainer.Function` implementations."""
  
  # Forward import of classes
  from .concat import Concat
  from .copy import Copy
  from .dropout import Dropout
  from .identity import Identity
  from .reshape import Reshape
  from .basic_math import Exp, Log
  from .leaky_relu import LeakyReLU
  from .lstm import LSTM
  from .relu import ReLU
  from .sigmoid import Sigmoid
  from .softmax import Softmax
  from .tanh import Tanh
  from .pooling_2d import AveragePooling2D, MaxPooling2D, Pooling2D
  from .local_response_normalization import LocalResponseNormalization
  from .accuracy import Accuracy
  from .mean_squared_error import MeanSquaredError
  from .softmax_cross_entropy import SoftmaxCrossEntropy
  from .sum import Sum
  from .inception import Inception
  
  
  # Parameterized function classes
  from .batch_normalization import BatchNormalization
  from .convolution_2d import Convolution2D
  from .embed_id import EmbedID
  from .hierarchical_softmax import BinaryHierarchicalSoftmax, create_huffman_tree
  from .linear import Linear
  from .parameter import Parameter
  from .prelu import PReLU
  
  # Array manipulation functions
  from .concat import concat
  from .copy import copy
  from .dropout import dropout
  from .identity import identity
  from .reshape import reshape
  
  # Activation functions
  from .basic_math import exp, log
  from .leaky_relu import leaky_relu
  from .lstm import lstm
  from .relu import relu
  from .sigmoid import sigmoid
  from .softmax import softmax
  from .tanh import tanh
  
  # Pooling and normalization functions
  from .pooling_2d import average_pooling_2d, max_pooling_2d
  from .local_response_normalization import local_response_normalization
  
  # Loss, evaluation and aggregation
  from .accuracy import accuracy
  from .mean_squared_error import mean_squared_error
  from .softmax_cross_entropy import softmax_cross_entropy
  from .sum import sum
  
new_contents: """Collection of :class:`~chainer.Function` implementations."""
  
  from chainer.functions import accuracy
  from chainer.functions import basic_math
  from chainer.functions import batch_normalization
  from chainer.functions import concat
  from chainer.functions import convolution_2d
  from chainer.functions import copy
  from chainer.functions import dropout
  from chainer.functions import embed_id
  from chainer.functions import hierarchical_softmax
  from chainer.functions import identity
  from chainer.functions import inception
  from chainer.functions import leaky_relu
  from chainer.functions import linear
  from chainer.functions import local_response_normalization
  from chainer.functions import lstm
  from chainer.functions import mean_squared_error
  from chainer.functions import parameter
  from chainer.functions import pooling_2d
  from chainer.functions import prelu
  from chainer.functions import relu
  from chainer.functions import reshape
  from chainer.functions import sigmoid
  from chainer.functions import softmax
  from chainer.functions import softmax_cross_entropy
  from chainer.functions import sum as sum_
  from chainer.functions import tanh
  
  Concat = concat.Concat
  Copy = copy.Copy
  Dropout = dropout.Dropout
  Identity = identity.Identity
  Reshape = reshape.Reshape
  Exp = basic_math.Exp
  Log = basic_math.Log
  LeakyReLU = leaky_relu.LeakyReLU
  LSTM = lstm.LSTM
  ReLU = relu.ReLU
  Sigmoid = sigmoid.Sigmoid
  Softmax = softmax.Softmax
  Tanh = tanh.Tanh
  AveragePooling2D = pooling_2d.AveragePooling2D
  MaxPooling2D = pooling_2d.MaxPooling2D
  Pooling2D = pooling_2d.Pooling2D
  LocalResponseNormalization = \
      local_response_normalization.LocalResponseNormalization
  Accuracy = accuracy.Accuracy
  MeanSquaredError = mean_squared_error.MeanSquaredError
  SoftmaxCrossEntropy = softmax_cross_entropy.SoftmaxCrossEntropy
  Sum = sum_.Sum
  Inception = inception.Inception
  
  BatchNormalization = batch_normalization.BatchNormalization
  Convolution2D = convolution_2d.Convolution2D
  EmbedID = embed_id.EmbedID
  BinaryHierarchicalSoftmax = hierarchical_softmax.BinaryHierarchicalSoftmax
  create_huffman_tree = hierarchical_softmax.create_huffman_tree
  Linear = linear.Linear
  Parameter = parameter.Parameter
  PReLU = prelu.PReLU
  
  concat = concat.concat
  copy = copy.copy
  dropout = dropout.dropout
  identity = identity.identity
  reshape = reshape.reshape
  
  exp = basic_math.exp
  log = basic_math.log
  leaky_relu = leaky_relu.leaky_relu
  lstm = lstm.lstm
  relu = relu.relu
  sigmoid = sigmoid.sigmoid
  softmax = softmax.softmax
  tanh = tanh.tanh
  
  average_pooling_2d = pooling_2d.average_pooling_2d
  max_pooling_2d = pooling_2d.max_pooling_2d
  local_response_normalization = \
      local_response_normalization.local_response_normalization
  
  accuracy = accuracy.accuracy
  mean_squared_error = mean_squared_error.mean_squared_error
  softmax_cross_entropy = softmax_cross_entropy.softmax_cross_entropy
  sum = sum_.sum
  
subject: Fix functions/__init__.py