src/backends/cl/workloads/ClPooling2dWorkload.cpp

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

#include "ClPooling2dWorkload.hpp"
#include <cl/ClLayerSupport.hpp>
#include <cl/ClTensorHandle.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>

#include "ClWorkloadUtils.hpp"

namespace armnn
{
using namespace armcomputetensorutils;

arm_compute::Status ClPooling2dWorkloadValidate(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::CLPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}

ClPooling2dWorkload::ClPooling2dWorkload(
    const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info)
    : BaseWorkload<Pooling2dQueueDescriptor>(descriptor, info)
{
    m_Data.ValidateInputsOutputs("ClPooling2dWorkload", 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);

    // flag to use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy
    // enable fp_mixed_precision for the the FP16 cases that
    // accumulation reaches a limit beyond which there is no more increment of the value
    bool fpMixedPrecision = false;
    if (input.info()->data_type() == arm_compute::DataType::F16
        && m_Data.m_Parameters.m_PoolType == PoolingAlgorithm::Average
        && m_Data.m_Parameters.m_PoolWidth >= 100
        && input.info()->dimension(3) >= 5
        && input.info()->dimension(2) * input.info()->dimension(1) >= 3000)
    {
        fpMixedPrecision = true;
    }

    arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters, fpMixedPrecision);

    // Run the layer.
    m_PoolingLayer.configure(&input, &output, layerInfo);
}

void ClPooling2dWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_CL("ClPooling2dWorkload_Execute");
    RunClFunction(m_PoolingLayer, CHECK_LOCATION());
}

}