commit d63dfa2fc61a33b4e675ec6bc7458d8700174134
author Michele Di Giorgio <michele.digiorgio@arm.com> Wed Sep 12 10:18:54 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:54 2018 +0000
tree 2a85a8258aaa9a5762eb589f34b3f2868705dfb5
parent 20c246a60869bada4051bd14eb9a3862be5330d7

COMPMID-1568: Add support for QASYMM8 to CLNormalizePlanarYUV

Change-Id: Id7ea6e7f57179478e5ba0e9231274e98fa089590
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148028
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h

diff --git a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
index 85f7d93..6d28803 100644
--- a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
+++ b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
@@ -45,7 +45,7 @@
     /** 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 Destinationfeature 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.
@@ -54,8 +54,8 @@
     void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
     /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
      *
-     * @param[in]  input  Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, FM].
-     *                    Data types supported: F16/F32.
+     * @param[in]  input  Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
+     *                    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.