NeonPreluWorkload.cpp

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//
// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "NeonPreluWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
 
#include <aclCommon/ArmComputeUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
 
#include <arm_compute/runtime/NEON/functions/NEPReluLayer.h>
 
namespace armnn
{
 
arm_compute::Status NeonPreluWorkloadValidate(const TensorInfo& input,
                                              const TensorInfo& alpha,
                                              const TensorInfo& output)
{
    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
    const arm_compute::TensorInfo aclAlpha = armcomputetensorutils::BuildArmComputeTensorInfo(alpha);
    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
 
    return arm_compute::NEPReluLayer::validate(&aclInput,
                                               &aclAlpha,
                                               &aclOutput);
}
 
NeonPreluWorkload::NeonPreluWorkload(const PreluQueueDescriptor& descriptor,
                                     const WorkloadInfo& info)
        : NeonBaseWorkload<PreluQueueDescriptor>(descriptor, info)
{
    m_Data.ValidateInputsOutputs("NeonPreluWorkload", 1, 1);
 
    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& alpha = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
    auto layer = std::make_unique<arm_compute::NEPReluLayer>();
    layer->configure(&input, &alpha, &output);
 
    m_PreluLayer.reset(layer.release());
}
 
void NeonPreluWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonPreluWorkload_Execute");
    m_PreluLayer->run();
}
 
} //namespace armnn