diff options
| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-11-21 03:04:18 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-12-01 10:41:54 +0000 |
| commit | 40f51a63c8e7258db15269427ae4fe1ad199c550 (patch) | |
| tree | 353253a41863966995a45556731e7181a643c003 /src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp | |
| parent | 327800401c4185d98fcc01b9c9efbc038a4228ed (diff) | |
| download | ComputeLibrary-40f51a63c8e7258db15269427ae4fe1ad199c550.tar.gz | |
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>
Diffstat (limited to 'src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEWinogradConvolutionLayerKernel.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
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)); |