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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-03-15 15:44:56 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-03-15 15:49:01 -0700 |
commit | 1e75c69339da2fbf2c5c5fbeb891243badae7ff8 (patch) | |
tree | 81268169bbff6836bfbbd4e9866a1374f597a624 /tensorflow/contrib/lite/arena_planner.h | |
parent | 6c62e650252ab32f83637a8de6720e73ffeca226 (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.h | 2 |
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 |