Update `stack_bidirectional_dynamic_rnn` and `bidirectional_dynamic_rnn` `inputs` argument's documentation.

Change: 150766149

2 files changed, 5 insertions, 6 deletions

diff --git a/tensorflow/contrib/rnn/python/ops/rnn.py b/tensorflow/contrib/rnn/python/ops/rnn.py
index 162b6aa0fd..1757a2148c 100644
--- a/tensorflow/contrib/rnn/python/ops/rnn.py
+++ b/tensorflow/contrib/rnn/python/ops/rnn.py
@@ -144,8 +144,8 @@ def stack_bidirectional_dynamic_rnn(cells_fw,
       to be used for forward direction.
     cells_bw: List of instances of RNNCell, one per layer,
       to be used for backward direction.
-    inputs: A length T list of inputs, each a tensor of shape
-      [batch_size, input_size], or a nested tuple of such elements.
+    inputs: The RNN inputs. this must be a tensor of shape:
+      `[batch_size, max_time, ...]`, or a nested tuple of such elements.
     initial_states_fw: (optional) A list of the initial states (one per layer)
       for the forward RNN.
       Each tensor must has an appropriate type and shape
@@ -175,7 +175,7 @@ def stack_bidirectional_dynamic_rnn(cells_fw,
 
   Raises:
     TypeError: If `cell_fw` or `cell_bw` is not an instance of `RNNCell`.
-    ValueError: If inputs is `None`, not a list or an empty list.
+    ValueError: If inputs is `None`.
   """
   if not cells_fw:
     raise ValueError("Must specify at least one fw cell for BidirectionalRNN.")
diff --git a/tensorflow/python/ops/rnn.py b/tensorflow/python/ops/rnn.py
index a83fb9fb48..680da9b49b 100644
--- a/tensorflow/python/ops/rnn.py
+++ b/tensorflow/python/ops/rnn.py
@@ -271,10 +271,9 @@ def bidirectional_dynamic_rnn(cell_fw, cell_bw, inputs, sequence_length=None,
     cell_bw: An instance of RNNCell, to be used for backward direction.
     inputs: The RNN inputs.
       If time_major == False (default), this must be a tensor of shape:
-        `[batch_size, max_time, input_size]`.
+        `[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, input_size]`.
-      [batch_size, input_size].
+        `[max_time, batch_size, ...]`, or a nested tuple of such elements.
     sequence_length: (optional) An int32/int64 vector, size `[batch_size]`,
       containing the actual lengths for each of the sequences in the batch.
       If not provided, all batch entries are assumed to be full sequences; and