message: Changed dcumentation
diff: @@ -547,7 +547,9 @@ def dynamic_rnn(cell, inputs, sequence_length=None, initial_state=None,
  nested) tuple of Tensors each with dimensions `[batch_size, ...]`.
  sequence_length: (optional) An int32/int64 vector sized `[batch_size]`.
  Used to copy-through state and zero-out outputs when past a batch
  - element's sequence length. So it's more for performance than correctness.
  + element's sequence length. This argument enables this API to extract
  + the last VALID state of RNN instead of a PADDED time step, so it is
  + for correctness.
  initial_state: (optional) An initial state for the RNN.
  If `cell.state_size` is an integer, this must be
  a `Tensor` of appropriate type and shape `[batch_size, cell.state_size]`.
  