commit 7485d5a62685cb745ab50e970adb722cb71557ac
author Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> Wed Jul 04 09:34:00 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:10 2018 +0000
tree ba01b99ca466c93edc9a3f8c1e34394ff84be060
parent 014333d73883c3872e458cedda5ccef586a7ccd4

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 <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h

diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
index ef00e59..f2d37a7 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -48,7 +48,7 @@
     /** 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/F16/F32.
+     *                       and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
      * @param[out] output    Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
      * @param[in]  norm_info Normalization layer information like the normalization type, normalization size and other parameters.
      */
@@ -56,7 +56,7 @@
     /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel
      *
      * @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/F16/F32.
+     *                      and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
      * @param[in] output    Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
      * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
      *