src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp

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

#include "ClNormalizationFloatWorkload.hpp"
#include <backends/cl/ClTensorHandle.hpp>
#include <backends/CpuTensorHandle.hpp>
#include <backends/cl/ClLayerSupport.hpp>
#include <backends/aclCommon/ArmComputeUtils.hpp>
#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
#include "ClWorkloadUtils.hpp"

using namespace armnn::armcomputetensorutils;

namespace armnn
{

arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input,
                                                    const TensorInfo& output,
                                                    const NormalizationDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);

    arm_compute::NormalizationLayerInfo layerInfo = BuildArmComputeNormalizationLayerInfo(descriptor);

    return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}

ClNormalizationFloatWorkload::ClNormalizationFloatWorkload(const NormalizationQueueDescriptor& descriptor,
                                                           const WorkloadInfo& info)
    : FloatWorkload<NormalizationQueueDescriptor>(descriptor, info)
{
    m_Data.ValidateInputsOutputs("ClNormalizationFloatWorkload", 1, 1);

    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters);

    m_NormalizationLayer.configure(&input, &output, normalizationInfo);
};

void ClNormalizationFloatWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloatWorkload_Execute");
    RunClFunction(m_NormalizationLayer, CHECK_LOCATION());
}

} //namespace armnn