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| 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/runtime/NEON/functions/NEConvolutionLayer.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/runtime/NEON/functions/NEConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEConvolutionLayer.cpp | 12 |
1 files changed, 5 insertions, 7 deletions
diff --git a/src/runtime/NEON/functions/NEConvolutionLayer.cpp b/src/runtime/NEON/functions/NEConvolutionLayer.cpp index cc5f160787..cc549ca31b 100644 --- a/src/runtime/NEON/functions/NEConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEConvolutionLayer.cpp @@ -33,8 +33,6 @@ #include "arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h" #include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h" -#include "support/MemorySupport.h" - #include <cmath> #include <tuple> #include <utility> @@ -61,35 +59,35 @@ void NEConvolutionLayer::configure(ITensor *input, const ITensor *weights, const { case ConvolutionMethod::WINOGRAD: { - auto f = arm_compute::support::cpp14::make_unique<NEWinogradConvolutionLayer>(_memory_manager); + auto f = std::make_unique<NEWinogradConvolutionLayer>(_memory_manager); f->configure(input, weights, biases, output, conv_info, act_info, enable_fast_math); _function = std::move(f); break; } case ConvolutionMethod::GEMM: { - auto f = arm_compute::support::cpp14::make_unique<NEGEMMConvolutionLayer>(_memory_manager); + auto f = std::make_unique<NEGEMMConvolutionLayer>(_memory_manager); f->configure(input, weights, biases, output, conv_info, weights_info, dilation, act_info); _function = std::move(f); break; } case ConvolutionMethod::GEMM_CONV2D: { - auto f = arm_compute::support::cpp14::make_unique<NEGEMMConv2d>(_memory_manager); + auto f = std::make_unique<NEGEMMConv2d>(_memory_manager); f->configure(input, weights, biases, output, info); _function = std::move(f); break; } case ConvolutionMethod::DIRECT: { - auto f = arm_compute::support::cpp14::make_unique<NEDirectConvolutionLayer>(_memory_manager); + auto f = std::make_unique<NEDirectConvolutionLayer>(_memory_manager); f->configure(input, weights, biases, output, conv_info, act_info); _function = std::move(f); break; } case ConvolutionMethod::FFT: { - auto f = arm_compute::support::cpp14::make_unique<NEFFTConvolutionLayer>(_memory_manager); + auto f = std::make_unique<NEFFTConvolutionLayer>(_memory_manager); f->configure(input, weights, biases, output, conv_info, act_info); _function = std::move(f); break; |