From d63dfa2fc61a33b4e675ec6bc7458d8700174134 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Wed, 12 Sep 2018 10:18:54 +0100 Subject: COMPMID-1568: Add support for QASYMM8 to CLNormalizePlanarYUV Change-Id: Id7ea6e7f57179478e5ba0e9231274e98fa089590 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148028 Tested-by: bsgcomp Reviewed-by: Georgios Pinitas --- arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h') diff --git a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h index 5418d31a0c..fd5042128f 100644 --- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h @@ -50,7 +50,7 @@ public: /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: F16/F32. + * Data types supported: QASYMM8/F16/F32. * @param[out] output Destination tensor. Data type supported: same as @p input * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels. @@ -60,7 +60,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel * * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. - * Data types supported: F16/F32. + * Data types supported: QASYMM8/F16/F32. * @param[out] output Destination tensor info. Data type supported: same as @p input * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. -- cgit v1.2.1