aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2020-11-21 03:04:18 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2020-12-01 10:41:54 +0000
commit40f51a63c8e7258db15269427ae4fe1ad199c550 (patch)
tree353253a41863966995a45556731e7181a643c003 /src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
parent327800401c4185d98fcc01b9c9efbc038a4228ed (diff)
downloadComputeLibrary-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/NESpaceToBatchLayer.cpp')
-rw-r--r--src/runtime/NEON/functions/NESpaceToBatchLayer.cpp9
1 files changed, 4 insertions, 5 deletions
diff --git a/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp b/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
index 516e8d604c..10b384157d 100644
--- a/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
+++ b/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
@@ -31,7 +31,6 @@
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/core/NEON/kernels/NEMemsetKernel.h"
#include "src/core/NEON/kernels/NESpaceToBatchLayerKernel.h"
-#include "support/MemorySupport.h"
namespace arm_compute
{
@@ -49,10 +48,10 @@ void NESpaceToBatchLayer::configure(const ITensor *input, const ITensor *block_s
if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
{
_has_padding = true;
- _memset_kernel = arm_compute::support::cpp14::make_unique<NEMemsetKernel>();
+ _memset_kernel = std::make_unique<NEMemsetKernel>();
_memset_kernel->configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
}
- _space_to_batch_kernel = arm_compute::support::cpp14::make_unique<NESpaceToBatchLayerKernel>();
+ _space_to_batch_kernel = std::make_unique<NESpaceToBatchLayerKernel>();
_space_to_batch_kernel->configure(input, block_shape, paddings, output);
}
@@ -63,10 +62,10 @@ void NESpaceToBatchLayer::configure(const ITensor *input, const int block_shape_
if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
{
_has_padding = true;
- _memset_kernel = arm_compute::support::cpp14::make_unique<NEMemsetKernel>();
+ _memset_kernel = std::make_unique<NEMemsetKernel>();
_memset_kernel->configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
}
- _space_to_batch_kernel = arm_compute::support::cpp14::make_unique<NESpaceToBatchLayerKernel>();
+ _space_to_batch_kernel = std::make_unique<NESpaceToBatchLayerKernel>();
_space_to_batch_kernel->configure(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
}