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-rw-r--r--src/backends/neon/workloads/NeonAdditionWorkload.cpp10
1 files changed, 8 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonAdditionWorkload.cpp b/src/backends/neon/workloads/NeonAdditionWorkload.cpp
index 70a3909091..fa537819a9 100644
--- a/src/backends/neon/workloads/NeonAdditionWorkload.cpp
+++ b/src/backends/neon/workloads/NeonAdditionWorkload.cpp
@@ -4,9 +4,13 @@
//
#include "NeonAdditionWorkload.hpp"
+#include "NeonWorkloadUtils.hpp"
+
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
+#include <arm_compute/runtime/NEON/functions/NEArithmeticAddition.h>
+
namespace armnn
{
@@ -35,13 +39,15 @@ NeonAdditionWorkload::NeonAdditionWorkload(const AdditionQueueDescriptor& descri
arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
- m_AddLayer.configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
+ auto layer = std::make_unique<arm_compute::NEArithmeticAddition>();
+ layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
+ m_AddLayer.reset(layer.release());
}
void NeonAdditionWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonAdditionWorkload_Execute");
- m_AddLayer.run();
+ m_AddLayer->run();
}
} //namespace armnn