Update generated Python Op docs.

Change: 141563688

tensorflow/g3doc/api_docs/python/contrib.training.md

@@ -80,7 +80,7 @@ context_label = batch.context["label"]
 inputs_by_time = tf.split(value=inputs, num_or_size_splits=num_unroll, axis=1)
 assert len(inputs_by_time) == num_unroll
 
-lstm_output, _ = tf.nn.state_saving_rnn(
+lstm_output, _ = tf.contrib.rnn.static_state_saving_rnn(
   cell,
   inputs_by_time,
   state_saver=batch,
@@ -528,7 +528,7 @@ context_label = batch.context["label"]
 inputs_by_time = tf.split(value=inputs, num_or_size_splits=num_unroll, axis=1)
 assert len(inputs_by_time) == num_unroll
 
-lstm_output, _ = tf.nn.state_saving_rnn(
+lstm_output, _ = tf.contrib.rnn.static_state_saving_rnn(
   cell,
   inputs_by_time,
   state_saver=batch,

tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.training.batch_sequences_with_states.md

@@ -63,7 +63,7 @@ context_label = batch.context["label"]
 inputs_by_time = tf.split(value=inputs, num_or_size_splits=num_unroll, axis=1)
 assert len(inputs_by_time) == num_unroll
 
-lstm_output, _ = tf.nn.state_saving_rnn(
+lstm_output, _ = tf.contrib.rnn.static_state_saving_rnn(
   cell,
   inputs_by_time,
   state_saver=batch,

tensorflow/g3doc/api_docs/python/functions_and_classes/shard9/tf.contrib.training.SequenceQueueingStateSaver.md

@@ -78,7 +78,7 @@ context_label = batch.context["label"]
 inputs_by_time = tf.split(value=inputs, num_or_size_splits=num_unroll, axis=1)
 assert len(inputs_by_time) == num_unroll
 
-lstm_output, _ = tf.nn.state_saving_rnn(
+lstm_output, _ = tf.contrib.rnn.static_state_saving_rnn(
   cell,
   inputs_by_time,
   state_saver=batch,