ClArgMinMaxWorkload.cpp

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//
// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "ClArgMinMaxWorkload.hpp"
#include "ClWorkloadUtils.hpp"
 
#include <aclCommon/ArmComputeTensorUtils.hpp>
 
#include <armnn/backends/TensorHandle.hpp>
 
#include <armnnUtils/TensorUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
 
#include <cl/ClTensorHandle.hpp>
#include <cl/ClLayerSupport.hpp>
 
namespace
{
unsigned int CalcAclAxis(unsigned int numDimensions, unsigned int axisIndex)
{
    return (numDimensions - axisIndex) - 1;
}
 
} //namespace
 
namespace armnn
{
 
arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo& input,
                                                const TensorInfo& output,
                                                const ArgMinMaxDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
 
    auto numDims = input.GetNumDimensions();
    auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, descriptor.m_Axis);
    int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
 
    if (descriptor.m_Function == ArgMinMaxFunction::Max)
    {
        return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
                                                       arm_compute::ReductionOperation::ARG_IDX_MAX);
    }
    else
    {
        return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
                                                       arm_compute::ReductionOperation::ARG_IDX_MIN);
    }
}
 
 
ClArgMinMaxWorkload::ClArgMinMaxWorkload(const ArgMinMaxQueueDescriptor& descriptor,
                                         const WorkloadInfo& info,
                                         const arm_compute::CLCompileContext& clCompileContext)
        : ClBaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info)
{
    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClArgMinMaxWorkload_Construct",
                                         descriptor.m_Parameters,
                                         info,
                                         this->GetGuid());
 
    arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
 
    auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
    auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
    int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
 
    {
        ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClArgMinMaxWorkload_configure");
        if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
        {
            m_ArgMinMaxLayer.configure(clCompileContext,
                                       &input,
                                       aclAxis,
                                       &output,
                                       arm_compute::ReductionOperation::ARG_IDX_MAX);
        }
        else
        {
            m_ArgMinMaxLayer.configure(clCompileContext,
                                       &input,
                                       aclAxis,
                                       &output,
                                       arm_compute::ReductionOperation::ARG_IDX_MIN);
        }
    }
}
 
void ClArgMinMaxWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClArgMinMaxWorkload_Execute");
    RunClFunction(m_ArgMinMaxLayer, CHECK_LOCATION());
}
 
} //namespace armnn