Update ops-related pbtxt files.

Change: 125838604

1 files changed, 1 insertions, 1 deletions

diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt
index 12a7edf266..9b398f3f63 100644
--- a/tensorflow/core/ops/ops.pbtxt
+++ b/tensorflow/core/ops/ops.pbtxt
@@ -9121,7 +9121,7 @@ op {
     description: "If the queue has fewer than n elements, this operation\nwill block for up to timeout_ms milliseconds.\nNote: This option is not supported yet."
   }
   summary: "Dequeues n tuples of one or more tensors from the given queue."
-  description: "This operation is not supported by all queues.  If a queue does not support\nDequeueUpTo, then an Unimplemented error is returned.\n\nIf the queue is closed and there are more than 0 but less than n elements\nremaining, then instead of returning an OutOfRange error like\nQueueDequeueMany, the remaining elements are returned immediately.  If the queue\nis closed and there are 0 elements left in the queue, then an OutOfRange\nerror is returned just like in QueueDequeueMany.  Otherwise the behavior\nis identical to QueueDequeueMany:\n\nThis operation concatenates queue-element component tensors along the\n0th dimension to make a single component tensor.  All of the components\nin the dequeued tuple will have size n in the 0th dimension.\n\nThis operation has k outputs, where k is the number of components in\nthe tuples stored in the given queue, and output i is the ith\ncomponent of the dequeued tuple."
+  description: "This operation is not supported by all queues.  If a queue does not support\nDequeueUpTo, then an Unimplemented error is returned.\n\nIf the queue is closed and there are more than 0 but less than n elements\nremaining, then instead of returning an OutOfRange error like\nQueueDequeueMany, less than `n` elements are returned immediately.  If the queue\nis closed and there are 0 elements left in the queue, then an OutOfRange\nerror is returned just like in QueueDequeueMany.  Otherwise the behavior\nis identical to QueueDequeueMany:\n\nThis operation concatenates queue-element component tensors along the\n0th dimension to make a single component tensor.  All of the components\nin the dequeued tuple will have size n in the 0th dimension.\n\nThis operation has k outputs, where k is the number of components in\nthe tuples stored in the given queue, and output i is the ith\ncomponent of the dequeued tuple."
 }
 op {
   name: "QueueEnqueue"