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authorGravatar Jianwei Xie <xiejw@google.com>2018-03-28 14:36:18 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-03-28 14:38:46 -0700
commite97c9e91e016efd951dc52e82744f607d948bb2a (patch)
treee98e3a2aaec29758533b3c331140b464ff6ce50e /tensorflow/contrib/factorization/kernels
parentef6552b544b3c3bf6808be807b30dd9bd4f19669 (diff)
Merge changes from github.
PiperOrigin-RevId: 190835392
Diffstat (limited to 'tensorflow/contrib/factorization/kernels')
-rw-r--r--tensorflow/contrib/factorization/kernels/clustering_ops.cc2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/factorization/kernels/clustering_ops.cc b/tensorflow/contrib/factorization/kernels/clustering_ops.cc
index dd61f59585..2a6c97e8b9 100644
--- a/tensorflow/contrib/factorization/kernels/clustering_ops.cc
+++ b/tensorflow/contrib/factorization/kernels/clustering_ops.cc
@@ -353,7 +353,7 @@ class NearestNeighborsOp : public OpKernel {
auto worker_threads = *(context->device()->tensorflow_cpu_worker_threads());
const int64 num_threads = worker_threads.num_threads;
// This kernel might be configured to use fewer than the total number of
- // available CPUs on the host machine. To avoid descructive interference
+ // available CPUs on the host machine. To avoid destructive interference
// with other jobs running on the host machine, we must only use a fraction
// of total available L3 cache. Unfortunately, we cannot query the host
// machine to get the number of physical CPUs. So, we use a fixed per-CPU