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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2017-07-26 17:09:17 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
commit | d5e65c71261fd42d3e69478507fbfcc8cf36befc (patch) | |
tree | 4892d179782b61f4198b45741d84b7d7fb30a011 /arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h | |
parent | baa656d41a9ef9027fca866c890a07b15747feda (diff) | |
download | ComputeLibrary-d5e65c71261fd42d3e69478507fbfcc8cf36befc.tar.gz |
COMPMID-456: Add support for QS16 NEON Normalization Layer.
Change-Id: I1e542808cfd7774c67cc4e9a58e42449e4fb29aa
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81735
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h')
-rw-r--r-- | arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h index b1bc594e4c..e24e481f46 100644 --- a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h @@ -50,7 +50,7 @@ public: /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: QS8/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/FP16/F32. * @param[in] input_squared Source with each element has been squared. 3 lower dims represent a single input with dimensions [width, height, IFM], * Data type supported: same as @p input * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input @@ -86,7 +86,7 @@ private: * * @param[in] window Region on which to execute the kernel. */ - template <unsigned int dim, bool do_2D_norm> + template <DataType dt, unsigned int dim, bool do_2D_norm> void normalize_fixed_point(const Window &window); /** Common signature for all the specialised normalization functions * |