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>

6 files changed, 23 insertions, 21 deletions

diff --git a/src/core/CL/gemm/native/CLGEMMNativeKernelConfiguration.h b/src/core/CL/gemm/native/CLGEMMNativeKernelConfiguration.h
index aecf5a8aa8..65396b1d98 100644
--- a/src/core/CL/gemm/native/CLGEMMNativeKernelConfiguration.h
+++ b/src/core/CL/gemm/native/CLGEMMNativeKernelConfiguration.h
@@ -29,7 +29,7 @@
 #include "src/core/CL/gemm/native/CLGEMMNativeKernelConfigurationMidgard.h"
 #include "src/core/CL/gemm/native/CLGEMMNativeKernelConfigurationValhall.h"
 
-#include "support/MemorySupport.h"
+#include <memory>
 
 namespace arm_compute
 {
@@ -50,11 +50,11 @@ public:
         switch(get_arch_from_target(gpu))
         {
             case GPUTarget::MIDGARD:
-                return support::cpp14::make_unique<CLGEMMNativeKernelConfigurationMidgard>(gpu);
+                return std::make_unique<CLGEMMNativeKernelConfigurationMidgard>(gpu);
             case GPUTarget::BIFROST:
-                return support::cpp14::make_unique<CLGEMMNativeKernelConfigurationBifrost>(gpu);
+                return std::make_unique<CLGEMMNativeKernelConfigurationBifrost>(gpu);
             case GPUTarget::VALHALL:
-                return support::cpp14::make_unique<CLGEMMNativeKernelConfigurationValhall>(gpu);
+                return std::make_unique<CLGEMMNativeKernelConfigurationValhall>(gpu);
             default:
                 ARM_COMPUTE_ERROR("Not supported GPU target");
         }
diff --git a/src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfiguration.h b/src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfiguration.h
index 21ccf2d647..2a25dc1893 100644
--- a/src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfiguration.h
+++ b/src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfiguration.h
@@ -28,7 +28,7 @@
 #include "src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfigurationBifrost.h"
 #include "src/core/CL/gemm/reshaped/CLGEMMReshapedKernelConfigurationValhall.h"
 
-#include "support/MemorySupport.h"
+#include <memory>
 
 namespace arm_compute
 {
@@ -50,9 +50,9 @@ public:
         {
             case GPUTarget::MIDGARD:
             case GPUTarget::BIFROST:
-                return support::cpp14::make_unique<CLGEMMReshapedKernelConfigurationBifrost>(gpu);
+                return std::make_unique<CLGEMMReshapedKernelConfigurationBifrost>(gpu);
             case GPUTarget::VALHALL:
-                return support::cpp14::make_unique<CLGEMMReshapedKernelConfigurationValhall>(gpu);
+                return std::make_unique<CLGEMMReshapedKernelConfigurationValhall>(gpu);
             default:
                 ARM_COMPUTE_ERROR("Not supported GPU target");
         }
diff --git a/src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfiguration.h b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfiguration.h
index 4efe28ce69..96c3045119 100644
--- a/src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfiguration.h
+++ b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfiguration.h
@@ -28,7 +28,7 @@
 #include "src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfigurationBifrost.h"
 #include "src/core/CL/gemm/reshaped_only_rhs/CLGEMMReshapedOnlyRHSKernelConfigurationValhall.h"
 
-#include "support/MemorySupport.h"
+#include <memory>
 
 namespace arm_compute
 {
@@ -50,9 +50,9 @@ public:
         {
             case GPUTarget::MIDGARD:
             case GPUTarget::BIFROST:
-                return support::cpp14::make_unique<CLGEMMReshapedOnlyRHSKernelConfigurationBifrost>(gpu);
+                return std::make_unique<CLGEMMReshapedOnlyRHSKernelConfigurationBifrost>(gpu);
             case GPUTarget::VALHALL:
-                return support::cpp14::make_unique<CLGEMMReshapedOnlyRHSKernelConfigurationValhall>(gpu);
+                return std::make_unique<CLGEMMReshapedOnlyRHSKernelConfigurationValhall>(gpu);
             default:
                 ARM_COMPUTE_ERROR("Not supported GPU target");
         }
diff --git a/src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp b/src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp
index 211ebdec90..f5a0b370ab 100644
--- a/src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp
@@ -33,11 +33,11 @@
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "src/core/AccessWindowStatic.h"
 #include "src/core/NEON/kernels/convolution/common/utils.hpp"
+#include "src/core/NEON/kernels/convolution/winograd/winograd_layer.hpp"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"
-#include "support/MemorySupport.h"
 
-#include "src/core/NEON/kernels/convolution/winograd/winograd_layer.hpp"
+#include <memory>
 
 namespace arm_compute
 {
@@ -225,7 +225,7 @@ void NEWinogradLayerTransformWeightsKernel<T, OutputTileRows, OutputTileCols, Ke
     _matrix_stride       = matrix_stride;
     _num_output_channels = num_output_channels;
     _num_input_channels  = num_input_channels;
-    _transform           = arm_compute::support::cpp14::make_unique<WeightsTransform>(num_output_channels, num_input_channels);
+    _transform           = std::make_unique<WeightsTransform>(num_output_channels, num_input_channels);
 
     Window win;
     auto   win_last = _transform->get_window();
@@ -348,7 +348,7 @@ void NEWinogradLayerTransformInputKernel<T, OutputTileRows, OutputTileCols, Kern
     _padding_bottom = (padding == PADDING_SAME) ? iceildiv(KernelRows - 1, 2) : 0;
     _padding_right  = (padding == PADDING_SAME) ? iceildiv(KernelCols - 1, 2) : 0;
 
-    _transform = arm_compute::support::cpp14::make_unique<InputTransform>(
+    _transform = std::make_unique<InputTransform>(
                      KernelRows,
                      KernelCols,
                      num_batches,
@@ -492,7 +492,7 @@ void NEWinogradLayerTransformOutputKernel<T, OutputTileRows, OutputTileCols, Ker
     _num_cols           = num_cols;
     _num_channels       = num_channels;
     // We don't have the biases buffer at this stage as it hasn't been allocated, we pass in nullptr OutputTransform is only used here to compute the window
-    _transform = arm_compute::support::cpp14::make_unique<OutputTransform>(num_batches, num_rows, num_cols, num_channels, activation);
+    _transform = std::make_unique<OutputTransform>(num_batches, num_rows, num_cols, num_channels, activation);
     Window win;
     auto   win_last = _transform->get_window();
     win.set(Window::DimX, Window::Dimension(0, win_last, 1));
diff --git a/src/core/TensorInfo.cpp b/src/core/TensorInfo.cpp
index 414c128a27..7b1f9c542a 100644
--- a/src/core/TensorInfo.cpp
+++ b/src/core/TensorInfo.cpp
@@ -29,7 +29,8 @@
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Validate.h"
 #include "src/core/helpers/Utils.h"
-#include "support/MemorySupport.h"
+
+#include <memory>
 
 using namespace arm_compute;
 
@@ -314,7 +315,7 @@ bool TensorInfo::extend_padding(const PaddingSize &padding)
 
 std::unique_ptr<ITensorInfo> TensorInfo::clone() const
 {
-    return support::cpp14::make_unique<TensorInfo>(*this);
+    return std::make_unique<TensorInfo>(*this);
 }
 
 ITensorInfo &TensorInfo::set_data_type(DataType data_type)
diff --git a/src/core/utils/logging/Logger.cpp b/src/core/utils/logging/Logger.cpp
index 05c5fa07d0..70b5868da8 100644
--- a/src/core/utils/logging/Logger.cpp
+++ b/src/core/utils/logging/Logger.cpp
@@ -24,7 +24,8 @@
 #include "arm_compute/core/utils/logging/Logger.h"
 
 #include "arm_compute/core/Error.h"
-#include "support/MemorySupport.h"
+
+#include <memory>
 
 using namespace arm_compute::logging;
 
@@ -116,9 +117,9 @@ void Logger::add_decorator(std::unique_ptr<IDecorator> decorator)
 
 void Logger::set_default_decorators()
 {
-    _decorators.emplace_back(support::cpp14::make_unique<StringDecorator>(_name));
-    _decorators.emplace_back(support::cpp14::make_unique<DateDecorator>());
-    _decorators.emplace_back(support::cpp14::make_unique<LogLevelDecorator>());
+    _decorators.emplace_back(std::make_unique<StringDecorator>(_name));
+    _decorators.emplace_back(std::make_unique<DateDecorator>());
+    _decorators.emplace_back(std::make_unique<LogLevelDecorator>());
 }
 
 bool Logger::is_loggable(LogLevel log_level)