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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/NEFuseBatchNormalization.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/NEFuseBatchNormalization.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEFuseBatchNormalization.cpp | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp index c64fde050e..a8ce6b2bfc 100644 --- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp +++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp @@ -29,7 +29,6 @@ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/NEON/NEScheduler.h" #include "src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -45,7 +44,7 @@ void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITe const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma, float epsilon, FuseBatchNormalizationType fbn_type) { - _fuse_bn_kernel = arm_compute::support::cpp14::make_unique<NEFuseBatchNormalizationKernel>(); + _fuse_bn_kernel = std::make_unique<NEFuseBatchNormalizationKernel>(); _fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type); } |