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authorSheri Zhang <sheri.zhang@arm.com>2021-02-10 15:32:38 +0000
committerGiorgio Arena <giorgio.arena@arm.com>2021-02-22 11:15:41 +0000
commitcece42cb5f1c0793b0b396a9996d8763b8c526bd (patch)
tree39ab9952f4b2cd4027bb0ac38c242a81f059c1fc /src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
parent5dd0db5a34c410ac720a37cfe33ccefaf621d520 (diff)
downloadComputeLibrary-cece42cb5f1c0793b0b396a9996d8763b8c526bd.tar.gz
Comply with Trademark rules for use of Neon, Arm and Mali
Full trademarks available in README.md Resolves: COMPMID-4257 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ibfba2adf2eef3449433f467464ebd87d7198474d Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5116 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp b/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
index 6f2c72a970..7f707d7f1a 100644
--- a/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
@@ -148,7 +148,7 @@ validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const IT
template <typename T, bool fused_activation, typename F>
void NEBatchNormalizationLayerKernel::batch_normalization_nchw(const Window &window)
{
- /** NEON vector tag type. */
+ /** Neon vector tag type. */
using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<T, wrapper::traits::BitWidth::W128>;
const int window_step_x = 16 / sizeof(T);
@@ -164,7 +164,7 @@ void NEBatchNormalizationLayerKernel::batch_normalization_nchw(const Window &win
F activation_functor(_act_info);
// Hold information about the current feature map we are iterating.
- // Only compute denominator and NEON vectors once per feature map.
+ // Only compute denominator and Neon vectors once per feature map.
int slice = -1;
const auto input_mean = reinterpret_cast<const T *>(_mean->ptr_to_element(Coordinates(0, 0)));