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| author | Anthony Barbier <anthony.barbier@arm.com> | 2017-10-26 15:23:08 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 7068f9900d136312318ff430aef588b14e0c87ad (patch) | |
| tree | b57ca81231860f1d8755e6f18e5be7c959fb60c6 /arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h | |
| parent | d60737592736715dcfd0520535c48190d4ac77d2 (diff) | |
| download | ComputeLibrary-7068f9900d136312318ff430aef588b14e0c87ad.tar.gz | |
COMPMID-631: Merge branches/gles_compute branch
Last commit:
commit b25c5f68042b0c81bf611d59a1bb8535e1c42497
Author: Xinghang Zhou <xinghang.zhou@arm.com>
Date: Wed Oct 25 18:48:10 2017 +0800
Synced validation's tolerances of GCSoftmax from cl side
Change-Id: Ibe72054205c1c8721845d679a31af7ed0a7c5cf6
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/93283
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h index 04c4c9ebba..1dfe075310 100644 --- a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h @@ -54,12 +54,12 @@ public: * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result. * 3 lower dimensions represent a single input with dimensions [width, height, FM]. * The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. + * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] gamma Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] beta Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] gamma Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] epsilon Small value to avoid division with zero. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input */ void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon); |