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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonSubtractionWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h>
namespace armnn
{
arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
return arm_compute::NEArithmeticSubtraction::validate(&aclInput0,
&aclInput1,
&aclOutput,
arm_compute::ConvertPolicy::SATURATE);
}
NeonSubtractionWorkload::NeonSubtractionWorkload(const SubtractionQueueDescriptor& descriptor,
const WorkloadInfo& info)
: BaseWorkload<SubtractionQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonSubtractionWorkload", 2, 1);
arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
auto layer = std::make_unique<arm_compute::NEArithmeticSubtraction>();
layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
m_SubLayer.reset(layer.release());
}
void NeonSubtractionWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSubtractionWorkload_Execute");
m_SubLayer->run();
}
} //namespace armnn
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