commit 658039bc4e06be34272eccf559a516a6b52f75f5
author Georgios Pinitas <georgios.pinitas@arm.com> Fri Sep 15 16:30:50 2017 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:35:24 2018 +0000
tree 7ab17a9cb5dad7b18f7e3a67b731f2c462b1ac24
parent 9e40cf7c21ed0136150101d6c930417d475ecff1

COMPMID-534: Add MemoryManager support in NEON functions

Adds support for:
-NECannyEdge
-NEConvolution
-NEDirectConvolution
-NEGEMM
-NEGEMMLowp
-NEGaussian5x5
-NEHOGDescriptor
-NEHOGGradient
-NEL2Normalize
-NELocallyConnectedLayer
-NENormalizationLayer
-NEScale
-NESobel5x5
-NESobel7x7

Change-Id: I68e05aa6054372fa873a882633a15fb97882c00d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87926
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

arm_compute/runtime/NEON/functions/NEL2Normalize.h

diff --git a/arm_compute/runtime/NEON/functions/NEL2Normalize.h b/arm_compute/runtime/NEON/functions/NEL2Normalize.h
index 1297b99..95d5186 100644
--- a/arm_compute/runtime/NEON/functions/NEL2Normalize.h
+++ b/arm_compute/runtime/NEON/functions/NEL2Normalize.h
@@ -26,9 +26,13 @@
 
 #include "arm_compute/core/NEON/kernels/NEL2NormalizeKernel.h"
 #include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+#include "arm_compute/runtime/MemoryGroup.h"
 #include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
 #include "arm_compute/runtime/Tensor.h"
 
+#include <memory>
+
 namespace arm_compute
 {
 class ITensor;
@@ -43,7 +47,7 @@
 {
 public:
     /** Constructor */
-    NEL2Normalize();
+    NEL2Normalize(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
     /** Set the input and output tensors.
      *
      * @param[in, out] input   Source tensor. Data types supported: F32. (Written to only for border_size != 0)
@@ -57,6 +61,7 @@
     void run() override;
 
 private:
+    MemoryGroup          _memory_group;
     NEReductionOperation _reduce_func;
     NEL2NormalizeKernel  _normalize_kernel;
     Tensor               _sumsq;