message: Fix issues in maxout layer
diff: @@ -3109,7 +3109,7 @@ def maxout(inputs, num_units, axis=-1, scope=None):
  inputs: Tensor input
  num_units: Specifies how many features will remain after maxout
  in the `axis` dimension (usually channel).
  - This must be multiple of number of `axis`.
  + This must be a factor of number of features.
  axis: The dimension where max pooling will be performed. Default is the
  last dimension.
  scope: Optional scope for variable_scope.
  @@ -3128,7 +3128,7 @@ def maxout(inputs, num_units, axis=-1, scope=None):
  raise ValueError('number of features({}) is not '
  'a multiple of num_units({})'.format(
  num_channels, num_units))
  - shape[axis] = -1
  + shape[axis] = num_units
  shape += [num_channels // num_units]
  # Dealing with batches with arbitrary sizes
  