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authorGravatar Nicholas Nadeau, P.Eng., AVS <nnadeau@users.noreply.github.com>2018-05-03 13:47:06 -0400
committerGravatar Shanqing Cai <cais@google.com>2018-05-03 13:47:06 -0400
commit487fa7b1a48c151362ab1b16cdda6bbc78f5d6dc (patch)
tree938a76a47b46d102f4833677db475aaa99e936d1 /tensorflow/core/kernels/nth_element_op.cc
parent4984a60e7147edef532ca1b15050471e81e45841 (diff)
Fixed Typos (#18806)
* fixed typos
Diffstat (limited to 'tensorflow/core/kernels/nth_element_op.cc')
-rw-r--r--tensorflow/core/kernels/nth_element_op.cc2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/core/kernels/nth_element_op.cc b/tensorflow/core/kernels/nth_element_op.cc
index 7f12eb953a..0e43cc19aa 100644
--- a/tensorflow/core/kernels/nth_element_op.cc
+++ b/tensorflow/core/kernels/nth_element_op.cc
@@ -114,7 +114,7 @@ struct NthElementFunctor<CPUDevice, T> {
auto worker_threads = *(context->device()->tensorflow_cpu_worker_threads());
// The average time complexity of partition-based nth_element (BFPRT) is
- // O(n), althought the worst time complexity could be O(n^2). Here, 20 is a
+ // O(n), although the worst time complexity could be O(n^2). Here, 20 is a
// empirical factor of cost_per_unit.
Shard(worker_threads.num_threads, worker_threads.workers, num_rows,
20 * last_dim, SubNthElement);