NeonPooling2dWorkload.cpp

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//
// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "NeonPooling2dWorkload.hpp"
 
#include "NeonWorkloadUtils.hpp"
 
#include <armnn/utility/PolymorphicDowncast.hpp>
 
#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
 
#include <arm_compute/runtime/NEON/functions/NEPoolingLayer.h>
 
namespace armnn
{
using namespace armcomputetensorutils;
 
arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo& input,
    const TensorInfo& output,
    const Pooling2dDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInputInfo =
            BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
    const arm_compute::TensorInfo aclOutputInfo =
            BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
 
    arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
 
    return arm_compute::NEPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}
 
NeonPooling2dWorkload::NeonPooling2dWorkload(
    const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info)
    : NeonBaseWorkload<Pooling2dQueueDescriptor>(descriptor, info)
{
    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonPooling2dWorkload_Construct",
                                         descriptor.m_Parameters,
                                         info,
                                         this->GetGuid());
 
    m_Data.ValidateInputsOutputs("NeonPooling2dWorkload", 1, 1);
 
    arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
    input.info()->set_data_layout(aclDataLayout);
    output.info()->set_data_layout(aclDataLayout);
 
    arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
 
    auto layer = std::make_unique<arm_compute::NEPoolingLayer>();
    layer->configure(&input, &output, layerInfo);
    m_PoolingLayer.reset(layer.release());
}
 
void NeonPooling2dWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonPooling2dWorkload_Execute");
    m_PoolingLayer->run();
}
 
} //namespace armnn