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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-11-21 03:04:18 +0000 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-12-01 10:41:54 +0000 |
commit | 40f51a63c8e7258db15269427ae4fe1ad199c550 (patch) | |
tree | 353253a41863966995a45556731e7181a643c003 /src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.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/NEDepthwiseConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp b/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp index fc97279211..d17f6b5cd9 100644 --- a/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp @@ -28,7 +28,6 @@ #include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/runtime/NEON/NEScheduler.h" #include "src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" -#include "support/MemorySupport.h" using namespace arm_compute::misc; using namespace arm_compute::misc::shape_calculator; @@ -246,7 +245,7 @@ void NEDepthwiseConvolutionLayer::NEDepthwiseConvolutionLayerGeneric::configure( } _original_weights = weights_to_use; - _depthwise_conv_kernel = arm_compute::support::cpp14::make_unique<NEDepthwiseConvolutionLayerNativeKernel>(); + _depthwise_conv_kernel = std::make_unique<NEDepthwiseConvolutionLayerNativeKernel>(); _depthwise_conv_kernel->configure(input_to_use, weights_to_use, biases, output_to_use, conv_info, depth_multiplier, dilation); if(_is_nchw) |