Update default C++ standard to C++14

(3RDPARTY_UPDATE)

Resolves: COMPMID-3849

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I6369f112337310140e2d6c8e79630cd11138dfa0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4544
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 30 insertions, 31 deletions

diff --git a/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp b/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp
index 1cb2458e13..265df9246f 100644
--- a/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp
@@ -35,7 +35,6 @@
 #include "src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h"
 #include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
 #include "src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.h"
-#include "support/MemorySupport.h"
 
 #include "src/core/NEON/kernels/convolution/common/utils.hpp"
 #include "src/core/NEON/kernels/convolution/winograd/winograd.hpp"
@@ -351,18 +350,18 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor *
             if(input->info()->dimension(width_idx) > 4 && input->info()->dimension(height_idx) > 4)
             {
                 using config             = NEWinogradLayerConfiguration<float, float, 4, 4, 3, 3>;
-                transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-                transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-                transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+                transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+                transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+                transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
                 n_gemms                  = config::WinogradBase::N_GEMMS;
                 N_BLOCK                  = config::WinogradConv::N_BLOCK;
             }
             else
             {
                 using config             = NEWinogradLayerConfiguration<float, float, 2, 2, 3, 3>;
-                transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-                transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-                transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+                transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+                transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+                transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
                 n_gemms                  = config::WinogradBase::N_GEMMS;
                 N_BLOCK                  = config::WinogradConv::N_BLOCK;
             }
@@ -370,63 +369,63 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor *
         else if(kernel_size == Size2D(5, 5))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 2, 2, 5, 5>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(1, 3))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 6, 1, 3, 1>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(3, 1))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 1, 6, 1, 3>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(1, 5))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 4, 1, 5, 1>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(5, 1))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 1, 4, 1, 5>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(1, 7))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 2, 1, 7, 1>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
         else if(kernel_size == Size2D(7, 1))
         {
             using config             = NEWinogradLayerConfiguration<float, float, 1, 2, 1, 7>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }
@@ -441,9 +440,9 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor *
         if(kernel_size == Size2D(3, 3))
         {
             using config             = NEWinogradLayerConfiguration<__fp16, __fp16, 4, 4, 3, 3>;
-            transform_input_kernel   = support::cpp14::make_unique<config::TransformInputKernel>();
-            transform_weights_kernel = support::cpp14::make_unique<config::TransformWeightsKernel>();
-            transform_output_kernel  = support::cpp14::make_unique<config::TransformOutputKernel>();
+            transform_input_kernel   = std::make_unique<config::TransformInputKernel>();
+            transform_weights_kernel = std::make_unique<config::TransformWeightsKernel>();
+            transform_output_kernel  = std::make_unique<config::TransformOutputKernel>();
             n_gemms                  = config::WinogradBase::N_GEMMS;
             N_BLOCK                  = config::WinogradConv::N_BLOCK;
         }