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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/NEGEMMLowpOutputStage.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/NEGEMMLowpOutputStage.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp | 15 |
1 files changed, 7 insertions, 8 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp index 9fb8851d7a..807785a534 100644 --- a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp +++ b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp @@ -29,7 +29,6 @@ #include "src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel.h" #include "src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.h" #include "src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -38,7 +37,7 @@ NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::~NEGEMMLowpQuantizeDownInt3 void NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, int min, int max) { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>(); k->configure(input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max); _kernel = std::move(k); } @@ -53,7 +52,7 @@ NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::~NEGEMMLowpQuantizeDownInt32 void NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, int min, int max) { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>(); k->configure(input, bias, output, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max); _kernel = std::move(k); } @@ -67,7 +66,7 @@ NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::~NEGEMMLowpQuantizeDownInt3 void NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_fixedpoint_multiplier, int result_shift, int min, int max) { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>(); k->configure(input, bias, output, result_fixedpoint_multiplier, result_shift, min, max); _kernel = std::move(k); } @@ -93,21 +92,21 @@ void NEGEMMLowpOutputStage::configure(const ITensor *input, const ITensor *bias, { case DataType::QASYMM8: { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel>(); k->configure(input, bias, output, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_offset, info.gemmlowp_min_bound, info.gemmlowp_max_bound); _kernel = std::move(k); break; } case DataType::QASYMM8_SIGNED: { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel>(); k->configure(input, bias, output, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_offset, info.gemmlowp_min_bound, info.gemmlowp_max_bound); _kernel = std::move(k); break; } case DataType::QSYMM16: { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel>(); k->configure(input, bias, output, info.gemmlowp_multiplier, info.gemmlowp_shift, info.gemmlowp_min_bound, info.gemmlowp_max_bound); _kernel = std::move(k); break; @@ -127,7 +126,7 @@ void NEGEMMLowpOutputStage::configure(const ITensor *input, const ITensor *bias, case DataType::QASYMM8: case DataType::QASYMM8_SIGNED: { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpQuantizeDownInt32ScaleKernel>(); + auto k = std::make_unique<NEGEMMLowpQuantizeDownInt32ScaleKernel>(); k->configure(input, bias, output, &info); _kernel = std::move(k); break; |