Update generated Python Op docs.

Change: 118369028

tensorflow/g3doc/api_docs/python/io_ops.md

@@ -1971,7 +1971,7 @@ want them run by *N* threads.
 
 - - -
 
-### `tf.train.batch(tensor_list, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, shared_name=None, name=None)` {#batch}
+### `tf.train.batch(tensor_list, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, shared_name=None, name=None)` {#batch}
 
 Creates batches of tensors in `tensor_list`.
 
@@ -1995,10 +1995,18 @@ operation is feeding another input queue, its queue runner will catch
 this exception, however, if this operation is used in your main thread
 you are responsible for catching this yourself.
 
-*N.B.:* You must ensure that either (i) the `shapes` argument is
-passed, or (ii) all of the tensors in `tensor_list` must have
-fully-defined shapes. `ValueError` will be raised if neither of
-these conditions holds.
+*N.B.:* If `dynamic_pad` is `False`, you must ensure that either
+(i) the `shapes` argument is passed, or (ii) all of the tensors in
+`tensor_list` must have fully-defined shapes. `ValueError` will be
+raised if neither of these conditions holds.
+
+If `dynamic_pad` is `True`, it is sufficient that the *rank* of the
+tensors is known, but individual dimensions may have shape `None`.
+In this case, for each enqueue the dimensions with value `None`
+may have a variable length; upon dequeue, the output tensors will be padded
+on the right to the maximum shape of the tensors in the current minibatch.
+For numbers, this padding takes value 0.  For strings, this padding is
+the empty string.  See `PaddingFIFOQueue` for more info.
 
 ##### Args:
 
@@ -2010,6 +2018,9 @@ these conditions holds.
 *  <b>`enqueue_many`</b>: Whether each tensor in `tensor_list` is a single example.
 *  <b>`shapes`</b>: (Optional) The shapes for each example.  Defaults to the
     inferred shapes for `tensor_list`.
+*  <b>`dynamic_pad`</b>: Boolean.  Allow variable dimensions in input shapes.
+    The given dimensions are padded upon dequeue so that tensors within a
+    batch have the same shapes.
 *  <b>`shared_name`</b>: (optional). If set, this queue will be shared under the given
     name across multiple sessions.
 *  <b>`name`</b>: (Optional) A name for the operations.
@@ -2027,7 +2038,7 @@ these conditions holds.
 
 - - -
 
-### `tf.train.batch_join(tensor_list_list, batch_size, capacity=32, enqueue_many=False, shapes=None, shared_name=None, name=None)` {#batch_join}
+### `tf.train.batch_join(tensor_list_list, batch_size, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, shared_name=None, name=None)` {#batch_join}
 
 Runs a list of tensors to fill a queue to create batches of examples.
 
@@ -2061,10 +2072,18 @@ operation is feeding another input queue, its queue runner will catch
 this exception, however, if this operation is used in your main thread
 you are responsible for catching this yourself.
 
-*N.B.:* You must ensure that either (i) the `shapes` argument is
-passed, or (ii) all of the tensors in `tensor_list_list` must have
-fully-defined shapes. `ValueError` will be raised if neither of
-these conditions holds.
+*N.B.:* If `dynamic_pad` is `False`, you must ensure that either
+(i) the `shapes` argument is passed, or (ii) all of the tensors in
+`tensor_list` must have fully-defined shapes. `ValueError` will be
+raised if neither of these conditions holds.
+
+If `dynamic_pad` is `True`, it is sufficient that the *rank* of the
+tensors is known, but individual dimensions may have value `None`.
+In this case, for each enqueue the dimensions with value `None`
+may have a variable length; upon dequeue, the output tensors will be padded
+on the right to the maximum shape of the tensors in the current minibatch.
+For numbers, this padding takes value 0.  For strings, this padding is
+the empty string.  See `PaddingFIFOQueue` for more info.
 
 ##### Args:
 
@@ -2076,6 +2095,9 @@ these conditions holds.
     example.
 *  <b>`shapes`</b>: (Optional) The shapes for each example.  Defaults to the
     inferred shapes for `tensor_list_list[i]`.
+*  <b>`dynamic_pad`</b>: Boolean.  Allow variable dimensions in input shapes.
+    The given dimensions are padded upon dequeue so that tensors within a
+    batch have the same shapes.
 *  <b>`shared_name`</b>: (Optional) If set, this queue will be shared under the given
     name across multiple sessions.
 *  <b>`name`</b>: (Optional) A name for the operations.