commit 40f51a63c8e7258db15269427ae4fe1ad199c550
author Georgios Pinitas <georgios.pinitas@arm.com> Sat Nov 21 03:04:18 2020 +0000
committer Georgios Pinitas <georgios.pinitas@arm.com> Tue Dec 01 10:41:54 2020 +0000
tree 353253a41863966995a45556731e7181a643c003
parent 327800401c4185d98fcc01b9c9efbc038a4228ed

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>

src/runtime/NEON/functions/NEQLSTMLayer.cpp

diff --git a/src/runtime/NEON/functions/NEQLSTMLayer.cpp b/src/runtime/NEON/functions/NEQLSTMLayer.cpp
index 1013730..85d62ac 100644
--- a/src/runtime/NEON/functions/NEQLSTMLayer.cpp
+++ b/src/runtime/NEON/functions/NEQLSTMLayer.cpp
@@ -39,7 +39,6 @@
 #include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
 #include "src/core/NEON/kernels/NEQLSTMLayerNormalizationKernel.h"
 #include "src/core/helpers/WindowHelpers.h"
-#include "support/MemorySupport.h"
 
 namespace arm_compute
 {
@@ -75,7 +74,7 @@
     _memory_group.manage(&out);
     out.allocator()->init(*(in->info()));
 
-    get_layer_norm(g) = arm_compute::support::cpp14::make_unique<NEQLSTMLayerNormalizationKernel>();
+    get_layer_norm(g) = std::make_unique<NEQLSTMLayerNormalizationKernel>();
     get_layer_norm(g)->configure(in, &out, get_layer_norm_weight(g), get_layer_norm_bias(g));
 }
 
@@ -226,18 +225,18 @@
         _input_to_input_weights     = lstm_params.input_to_input_weights();
         _recurrent_to_input_weights = lstm_params.recurrent_to_input_weights();
 
-        _input_to_input_reduction     = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-        _recurrent_to_input_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+        _input_to_input_reduction     = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+        _recurrent_to_input_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
         _input_to_input_reduction->configure(_input_to_input_weights, &_input_to_input_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qinput.offset, true));
         _recurrent_to_input_reduction->configure(_recurrent_to_input_weights, &_recurrent_to_input_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true));
     }
 
-    _input_to_forget_reduction     = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-    _recurrent_to_forget_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-    _input_to_cell_reduction       = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-    _recurrent_to_cell_reduction   = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-    _input_to_output_reduction     = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
-    _recurrent_to_output_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _input_to_forget_reduction     = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _recurrent_to_forget_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _input_to_cell_reduction       = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _recurrent_to_cell_reduction   = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _input_to_output_reduction     = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+    _recurrent_to_output_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
 
     _recurrent_to_cell_reduction->configure(input_to_forget_weights, &_input_to_forget_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qinput.offset, true));
     _recurrent_to_forget_reduction->configure(recurrent_to_forget_weights, &_recurrent_to_forget_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true));
@@ -247,7 +246,7 @@
     _recurrent_to_output_reduction->configure(recurrent_to_output_weights, &_recurrent_to_output_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true));
     if(_has_projection)
     {
-        _projection_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>();
+        _projection_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>();
         _projection_reduction->configure(_projection_weights, &_projection_eff_bias, GEMMLowpReductionKernelInfo(output_size, false, lstm_params.hidden_state_zero(), true));
         if(_projection_bias != nullptr)
         {