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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/NEGEMMConvolutionLayer.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/NEGEMMConvolutionLayer.cpp')
-rw-r--r--src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp7
1 files changed, 3 insertions, 4 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
index 3f50f81af2..a3bdde24b0 100644
--- a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp
@@ -43,7 +43,6 @@
#include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
#include "src/core/NEON/kernels/NEIm2ColKernel.h"
#include "src/core/NEON/kernels/NEWeightsReshapeKernel.h"
-#include "support/MemorySupport.h"
#include <set>
#include <tuple>
@@ -68,7 +67,7 @@ void NEConvolutionLayerReshapeWeights::configure(const ITensor *weights, const I
const bool append_biases = (biases != nullptr) && !is_data_type_quantized_asymmetric(weights->info()->data_type());
const ITensor *biases_to_use = (append_biases) ? biases : nullptr;
- _weights_reshape_kernel = arm_compute::support::cpp14::make_unique<NEWeightsReshapeKernel>();
+ _weights_reshape_kernel = std::make_unique<NEWeightsReshapeKernel>();
_weights_reshape_kernel->configure(weights, biases_to_use, output);
output->info()->set_quantization_info(weights->info()->quantization_info());
@@ -342,7 +341,7 @@ void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weig
_memory_group.manage(&_im2col_output);
// Configure
- _im2col_kernel = arm_compute::support::cpp14::make_unique<NEIm2ColKernel>();
+ _im2col_kernel = std::make_unique<NEIm2ColKernel>();
_im2col_kernel->configure(input, &_im2col_output, Size2D(kernel_width, kernel_height), conv_info, false, dilation);
// Update GEMM input
@@ -385,7 +384,7 @@ void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weig
if(_data_layout == DataLayout::NCHW)
{
// Configure col2im
- _col2im_kernel = arm_compute::support::cpp14::make_unique<NECol2ImKernel>();
+ _col2im_kernel = std::make_unique<NECol2ImKernel>();
_col2im_kernel->configure(gemm_output_to_use, output, Size2D(conv_w, conv_h));
}
else