Remove tf.batch_matmul Python interface.

Change: 140500123

1 files changed, 4 insertions, 4 deletions

diff --git a/tensorflow/contrib/labeled_tensor/python/ops/ops.py b/tensorflow/contrib/labeled_tensor/python/ops/ops.py
index 590590bf7b..d846b013fe 100644
--- a/tensorflow/contrib/labeled_tensor/python/ops/ops.py
+++ b/tensorflow/contrib/labeled_tensor/python/ops/ops.py
@@ -727,10 +727,10 @@ def matmul(a, b, name=None):
     b = core.convert_to_labeled_tensor(b)
 
     if len(a.axes) > 2 or len(b.axes) > 2:
-      # We could use tf.batch_matmul to make this work, but we would also need
-      # to use tf.tile and/or tf.transpose. These are more expensive than doing
-      # reshapes, so it's not clear if it's a good idea to do this
-      # automatically.
+      # We could pass batched inputs to tf.matmul to make this work, but we
+      # would also need to use tf.tile and/or tf.transpose. These are more
+      # expensive than doing reshapes, so it's not clear if it's a good idea to
+      # do this automatically.
       raise NotImplementedError(
           'matmul currently requires inputs with rank 2 or less, but '
           'inputs have ranks %r and %r' % (len(a.axes), len(b.axes)))