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path: root/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
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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);
}