diff --git a/tensorflow/g3doc/api_docs/python/contrib.learn.md b/tensorflow/g3doc/api_docs/python/contrib.learn.md
index b573b02bd71..25bfe07e7a0 100644
--- a/tensorflow/g3doc/api_docs/python/contrib.learn.md
+++ b/tensorflow/g3doc/api_docs/python/contrib.learn.md
@@ -5083,7 +5083,7 @@ Use `parse_fn` if you need to do parsing / processing on single examples.
 
 - - -
 
-### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, read_batch_size=1, name=None)` {#read_batch_features}
+### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, name=None)` {#read_batch_features}
 
 Adds operations to read, queue, batch and parse `Example` protos.
 
@@ -5115,7 +5115,6 @@ All ops are added to the default graph.
 *  <b>`queue_capacity`</b>: Capacity for input queue.
 *  <b>`reader_num_threads`</b>: The number of threads to read examples.
 *  <b>`parser_num_threads`</b>: The number of threads to parse examples.
-*  <b>`read_batch_size`</b>: An int or scalar `Tensor` specifying the number of
     records to read at once
 *  <b>`name`</b>: Name of resulting op.
 
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md
index 6327760ca08..d18c316080e 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.read_batch_features.md
@@ -1,4 +1,4 @@
-### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, read_batch_size=1, name=None)` {#read_batch_features}
+### `tf.contrib.learn.read_batch_features(file_pattern, batch_size, features, reader, randomize_input=True, num_epochs=None, queue_capacity=10000, reader_num_threads=1, parser_num_threads=1, name=None)` {#read_batch_features}
 
 Adds operations to read, queue, batch and parse `Example` protos.
 
@@ -30,7 +30,6 @@ All ops are added to the default graph.
 *  <b>`queue_capacity`</b>: Capacity for input queue.
 *  <b>`reader_num_threads`</b>: The number of threads to read examples.
 *  <b>`parser_num_threads`</b>: The number of threads to parse examples.
-*  <b>`read_batch_size`</b>: An int or scalar `Tensor` specifying the number of
     records to read at once
 *  <b>`name`</b>: Name of resulting op.