From 7485d5a62685cb745ab50e970adb722cb71557ac Mon Sep 17 00:00:00 2001 From: Vidhya Sudhan Loganathan Date: Wed, 4 Jul 2018 09:34:00 +0100 Subject: COMPMID-970 : Remove QS8 / QS16 support Removed fixed point related code. Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678 Tested-by: Jenkins Reviewed-by: Anthony Barbier --- .../core/NEON/kernels/NENormalizationLayerKernel.h | 16 ++-------------- 1 file changed, 2 insertions(+), 14 deletions(-) (limited to 'arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h') diff --git a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h index 6ae7b73423..92086437a6 100644 --- a/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h +++ b/arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h @@ -54,7 +54,7 @@ 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/QS16/FP16/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: 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 @@ -64,7 +64,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref NENormalizationLayerKernel * * @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/QS16/FP16/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: 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[in] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input @@ -92,18 +92,6 @@ private: template void normalize_float(const Window &window); - /** Function to perform normalization for fixed-point values depending on - * the given template dimension. The second template parameter specifies - * whether the normalization has to be 1D or 2D. - * - * @note Only supported normalizations are: - * - 1D over X or Z - * - 2D over X and Y - * - * @param[in] window Region on which to execute the kernel. - */ - template - void normalize_fixed_point(const Window &window); /** Common signature for all the specialised normalization functions * * @param[in] window Region on which to execute the kernel. -- cgit v1.2.1