message: Remove newlines from tf.nn.dynamic_rnn args list.
  Prevents bad formatting:
diff: @@ -462,22 +462,18 @@ def dynamic_rnn(cell, inputs, sequence_length=None, initial_state=None,
  Args:
  cell: An instance of RNNCell.
  inputs: The RNN inputs.
  -
  If `time_major == False` (default), this must be a `Tensor` of shape:
  `[batch_size, max_time, ...]`, or a nested tuple of such
  elements.
  -
  If `time_major == True`, this must be a `Tensor` of shape:
  `[max_time, batch_size, ...]`, or a nested tuple of such
  elements.
  -
  This may also be a (possibly nested) tuple of Tensors satisfying
  this property. The first two dimensions must match across all the inputs,
  but otherwise the ranks and other shape components may differ.
  In this case, input to `cell` at each time-step will replicate the
  structure of these tuples, except for the time dimension (from which the
  time is taken).
  -
  The input to `cell` at each time step will be a `Tensor` or (possibly
  nested) tuple of Tensors each with dimensions `[batch_size, ...]`.
  sequence_length: (optional) An int32/int64 vector sized `[batch_size]`.
  