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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-03-15 15:44:56 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-03-15 15:49:01 -0700
commit1e75c69339da2fbf2c5c5fbeb891243badae7ff8 (patch)
tree81268169bbff6836bfbbd4e9866a1374f597a624 /tensorflow/contrib/lite/arena_planner.h
parent6c62e650252ab32f83637a8de6720e73ffeca226 (diff)
Automated g4 rollback of changelist 189231636
PiperOrigin-RevId: 189258641
Diffstat (limited to 'tensorflow/contrib/lite/arena_planner.h')
-rw-r--r--tensorflow/contrib/lite/arena_planner.h2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/lite/arena_planner.h b/tensorflow/contrib/lite/arena_planner.h
index f84b3dad95..58bc164619 100644
--- a/tensorflow/contrib/lite/arena_planner.h
+++ b/tensorflow/contrib/lite/arena_planner.h
@@ -33,7 +33,7 @@ class AllocationInfo;
// each tensor needs to be allocated and deallocated, and preallocates all the
// necessary memory (the PlanAllocations phase). It then assigns portions of
// this memory buffer to each tensor (the ExecuteAllocations phase). Tensors may
-// share some of the buffer if a tensor B is to be allocated after another tensor
+// share some of the bufer if a tensor B is to be allocated after another tensor
// A has been deallocated.
//
// If dynamic tensors are used the planning steps can be repeated during model