Update generated Python Op docs.

Change: 142647250

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

@@ -529,7 +529,7 @@ Return all the `tf.Operation` which are connected to an op in ops.
 
 - - -
 
-### `tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True)` {#compute_boundary_ts}
+### `tf.contrib.graph_editor.compute_boundary_ts(ops)` {#compute_boundary_ts}
 
 Compute the tensors at the boundary of a set of ops.
 
@@ -539,14 +539,13 @@ and classify them into three categories:
 2) output tensors: tensors whose consumer operations are not in ops
 3) inside tensors: tensors which are neither input nor output tensors.
 
+Note that a tensor can be both an inside tensor and an output tensor if it is
+consumed by operations both outside and inside of `ops`.
+
 ##### Args:
 
 
 *  <b>`ops`</b>: an object convertible to a list of tf.Operation.
-*  <b>`ambiguous_ts_are_outputs`</b>: a tensor can have consumers both inside and
-    outside ops. Such tensors are treated as outside tensor if
-    ambiguous_ts_are_outputs is True, otherwise they are treated as
-    inside tensor.
 
 ##### Returns:
 
@@ -554,6 +553,8 @@ and classify them into three categories:
     `outside_input_ts` is a Python list of input tensors;
     `outside_output_ts` is a python list of output tensors;
     `inside_ts` is a python list of inside tensors.
+  Since a tensor can be both an inside tensor and an output tensor,
+  `outside_output_ts` and `inside_ts` might intersect.
 
 ##### Raises:
 
@@ -1053,6 +1054,13 @@ The connected output tensors of this subgraph view.
 
 Return a Python set of all the consumers of this subgraph view.
 
+A consumer of a subgraph view is a tf.Operation which is a consumer
+of one of the output tensors and is not in the subgraph.
+
+##### Returns:
+
+  A list of `tf.Operation` which are the consumers of this subgraph view.
+
 
 - - -
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.graph_editor.compute_boundary_ts.md

@@ -1,4 +1,4 @@
-### `tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True)` {#compute_boundary_ts}
+### `tf.contrib.graph_editor.compute_boundary_ts(ops)` {#compute_boundary_ts}
 
 Compute the tensors at the boundary of a set of ops.
 
@@ -8,14 +8,13 @@ and classify them into three categories:
 2) output tensors: tensors whose consumer operations are not in ops
 3) inside tensors: tensors which are neither input nor output tensors.
 
+Note that a tensor can be both an inside tensor and an output tensor if it is
+consumed by operations both outside and inside of `ops`.
+
 ##### Args:
 
 
 *  <b>`ops`</b>: an object convertible to a list of tf.Operation.
-*  <b>`ambiguous_ts_are_outputs`</b>: a tensor can have consumers both inside and
-    outside ops. Such tensors are treated as outside tensor if
-    ambiguous_ts_are_outputs is True, otherwise they are treated as
-    inside tensor.
 
 ##### Returns:
 
@@ -23,6 +22,8 @@ and classify them into three categories:
     `outside_input_ts` is a Python list of input tensors;
     `outside_output_ts` is a python list of output tensors;
     `inside_ts` is a python list of inside tensors.
+  Since a tensor can be both an inside tensor and an output tensor,
+  `outside_output_ts` and `inside_ts` might intersect.
 
 ##### Raises:
 

tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.contrib.graph_editor.SubGraphView.md

@@ -204,6 +204,13 @@ The connected output tensors of this subgraph view.
 
 Return a Python set of all the consumers of this subgraph view.
 
+A consumer of a subgraph view is a tf.Operation which is a consumer
+of one of the output tensors and is not in the subgraph.
+
+##### Returns:
+
+  A list of `tf.Operation` which are the consumers of this subgraph view.
+
 
 - - -