src/backends/neon/workloads/NeonPadWorkload.cpp

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

#include "NeonPadWorkload.hpp"

#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <arm_compute/core/Types.h>
#include <arm_compute/runtime/NEON/functions/NEPadLayer.h>

#include "NeonWorkloadUtils.hpp"

namespace armnn
{
using namespace armcomputetensorutils;

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

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

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

    std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.m_Parameters.m_PadList.size());

    std::reverse_copy(std::begin(descriptor.m_Parameters.m_PadList),
                      std::end(descriptor.m_Parameters.m_PadList),
                      std::begin(reversed_PadList));

    arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(reversed_PadList);

    arm_compute::PixelValue pixelValue = GetPixelValue(input.info(), descriptor.m_Parameters.m_PadValue);

    auto layer = std::make_unique<arm_compute::NEPadLayer>();
    layer->configure(&input,
                     &output,
                     padList,
                     pixelValue,
                     ConvertPaddingModeToAcl(descriptor.m_Parameters.m_PaddingMode));
    m_Layer.reset(layer.release());
}

void NeonPadWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonPadWorkload_Execute", this->GetGuid());
    m_Layer->run();
}

arm_compute::Status NeonPadWorkloadValidate(const TensorInfo& input,
                                            const TensorInfo& output,
                                            const PadDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);

    std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.m_PadList.size());

    std::reverse_copy(std::begin(descriptor.m_PadList),
                      std::end(descriptor.m_PadList),
                      std::begin(reversed_PadList));

    arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(reversed_PadList);

    // PixelValue is currently unused when validating, but it's required to pass in PaddingMode.
    arm_compute::PixelValue pixelValue = GetPixelValue(&aclInputInfo, descriptor.m_PadValue);
    return arm_compute::NEPadLayer::validate(&aclInputInfo,
                                             &aclOutputInfo,
                                             padList,
                                             pixelValue,
                                             ConvertPaddingModeToAcl(descriptor.m_PaddingMode));
}

} // namespace armnn