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>

src/runtime/NEON/functions/NEConvolution.cpp

diff --git a/src/runtime/NEON/functions/NEConvolution.cpp b/src/runtime/NEON/functions/NEConvolution.cpp
index 249274b..f10ffa6 100644
--- a/src/runtime/NEON/functions/NEConvolution.cpp
+++ b/src/runtime/NEON/functions/NEConvolution.cpp
@@ -48,8 +48,8 @@
 }
 
 template <unsigned int matrix_size>
-NEConvolutionSquare<matrix_size>::NEConvolutionSquare()
-    : _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
+NEConvolutionSquare<matrix_size>::NEConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager)
+    : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
 {
 }
 
@@ -72,6 +72,10 @@
 
         _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, intermediate_type));
 
+        // Manage intermediate buffers
+        _memory_group.manage(&_tmp);
+
+        // Calculate scale
         if(scale == 0)
         {
             scale = calculate_matrix_scale(conv, matrix_size);
@@ -98,8 +102,12 @@
 
     if(_is_separable)
     {
+        _memory_group.acquire();
+
         NEScheduler::get().schedule(&_kernel_hor, Window::DimY);
         NEScheduler::get().schedule(&_kernel_vert, Window::DimY);
+
+        _memory_group.release();
     }
     else
     {