From 7068f9900d136312318ff430aef588b14e0c87ad Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Thu, 26 Oct 2017 15:23:08 +0100 Subject: COMPMID-631: Merge branches/gles_compute branch Last commit: commit b25c5f68042b0c81bf611d59a1bb8535e1c42497 Author: Xinghang Zhou 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 Tested-by: Kaizen --- arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h | 4 ++-- arm_compute/runtime/NEON/functions/NENormalizationLayer.h | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) (limited to 'arm_compute/runtime/NEON/functions') diff --git a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h index 041b9e7290..b2de7162f1 100644 --- a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h @@ -50,12 +50,12 @@ 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); diff --git a/arm_compute/runtime/NEON/functions/NENormalizationLayer.h b/arm_compute/runtime/NEON/functions/NENormalizationLayer.h index 1c95c5bc4a..0d5656d602 100644 --- a/arm_compute/runtime/NEON/functions/NENormalizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NENormalizationLayer.h @@ -40,7 +40,7 @@ namespace arm_compute { class ITensor; -/** Basic function to simulate a normalization layer. This function calls the following NEON kernels: +/** Basic function to compute a normalization layer. This function calls the following NEON kernels: * * -# @ref NEPixelWiseMultiplicationKernel * -# @ref NEFillBorderKernel @@ -59,7 +59,7 @@ public: * @param[out] output Destination with the same dimensions, data type and number of channels of @p input * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. */ - void configure(const ITensor *input, ITensor *output, NormalizationLayerInfo norm_info); + void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info); // Inherited methods overridden: void run() override; -- cgit v1.2.1