Update generated Python Op docs.

Change: 126374388

tensorflow/g3doc/api_docs/python/functions_and_classes/shard6/tf.train.Coordinator.md

@@ -93,10 +93,21 @@ except Exception:
 ```
 - - -
 
-#### `tf.train.Coordinator.__init__()` {#Coordinator.__init__}
+#### `tf.train.Coordinator.__init__(clean_stop_exception_types=None)` {#Coordinator.__init__}
 
 Create a new Coordinator.
 
+##### Args:
+
+
+*  <b>`clean_stop_exception_types`</b>: Optional tuple of Exception types that should
+    cause a clean stop of the coordinator. If an exception of one of these
+    types is reported to `request_stop(ex)` the coordinator will behave as
+    if `request_stop(None)` was called.  Defaults to
+    `(tf.errors.OutOfRangeError,)` which is used by input queues to signal
+    the end of input. When feeding training data from a Python iterator it
+    is common to add `StopIteration` to this list.
+
 
 - - -
 

tensorflow/g3doc/api_docs/python/index.md

@@ -739,3 +739,4 @@
   * [`copy_op_to_graph`](../../api_docs/python/contrib.copy_graph.md#copy_op_to_graph)
   * [`copy_variable_to_graph`](../../api_docs/python/contrib.copy_graph.md#copy_variable_to_graph)
   * [`get_copied_op`](../../api_docs/python/contrib.copy_graph.md#get_copied_op)
+

tensorflow/g3doc/api_docs/python/sparse_ops.md

@@ -764,7 +764,7 @@ For example:
 *  <b>`TypeError`</b>: If `sp_input` is not a `SparseTensor`.
 *  <b>`ValueError`</b>: If `new_shape` represents a tensor with a different rank from
     that of `sp_input` (if shapes are known when graph is constructed).
-*  <b>`OpError`</b>:
+*  <b>`OpError`</b>: 
     - If `new_shape` has dimension sizes that are too small.
     - If shapes are not known during graph construction time, and during run
       time it is found out that the ranks do not match.
@@ -1153,3 +1153,5 @@ B dense [k, n]
     A = A.H if adjoint_a else A
     B = B.H if adjoint_b else B
     return A*B
+
+

tensorflow/g3doc/api_docs/python/train.md

@@ -1214,10 +1214,21 @@ except Exception:
 ```
 - - -
 
-#### `tf.train.Coordinator.__init__()` {#Coordinator.__init__}
+#### `tf.train.Coordinator.__init__(clean_stop_exception_types=None)` {#Coordinator.__init__}
 
 Create a new Coordinator.
 
+##### Args:
+
+
+*  <b>`clean_stop_exception_types`</b>: Optional tuple of Exception types that should
+    cause a clean stop of the coordinator. If an exception of one of these
+    types is reported to `request_stop(ex)` the coordinator will behave as
+    if `request_stop(None)` was called.  Defaults to
+    `(tf.errors.OutOfRangeError,)` which is used by input queues to signal
+    the end of input. When feeding training data from a Python iterator it
+    is common to add `StopIteration` to this list.
+
 
 - - -