//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "NeonActivationWorkload.hpp"
#include "NeonWorkloadUtils.hpp"

#include <aclCommon/ArmComputeUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>

#include <arm_compute/runtime/NEON/functions/NEActivationLayer.h>

namespace armnn
{

arm_compute::Status NeonActivationWorkloadValidate(const TensorInfo& input,
                                                   const TensorInfo& output,
                                                   const ActivationDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);

    const arm_compute::ActivationLayerInfo activationLayerInfo =
        ConvertActivationDescriptorToAclActivationLayerInfo(descriptor);

    return arm_compute::NEActivationLayer::validate(&aclInput,
                                                    &aclOutput,
                                                    activationLayerInfo);
}

NeonActivationWorkload::NeonActivationWorkload(const ActivationQueueDescriptor& descriptor,
                                               const WorkloadInfo& info)
    : NeonBaseWorkload<ActivationQueueDescriptor>(descriptor, info)
{
    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonActivationWorkload_Construct",
                                         descriptor.m_Parameters,
                                         info,
                                         this->GetGuid());

    m_Data.ValidateInputsOutputs("NeonActivationWorkload", 1, 1);

    const arm_compute::ActivationLayerInfo activationLayerInfo =
        ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters);

    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();

    auto layer = std::make_unique<arm_compute::NEActivationLayer>();
    layer->configure(&input, &output, activationLayerInfo);

    m_ActivationLayer.reset(layer.release());
}

void NeonActivationWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonActivationWorkload_Execute", this->GetGuid());
    m_ActivationLayer->run();
}

} //namespace armnn