From ed3c35723429b64b8770ed2687525c12c9229ec0 Mon Sep 17 00:00:00 2001
From: shashvatshahi1998 <dracshahi@gmail.com>
Date: Fri, 19 Apr 2019 19:16:23 +0530
Subject: [PATCH] Changed dcumentation

---
 tensorflow/python/ops/rnn.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tensorflow/python/ops/rnn.py b/tensorflow/python/ops/rnn.py
index bd5abd53db982d..0ad8939b0e1400 100644
--- a/tensorflow/python/ops/rnn.py
+++ b/tensorflow/python/ops/rnn.py
@@ -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]`.