RefTileWorkload.cpp

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//
// Copyright © 2023-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "RefTileWorkload.hpp"
#include "RefWorkloadUtils.hpp"
#include "Tile.hpp"
#include "Profiling.hpp"
 
namespace armnn
{
 
    RefTileWorkload::RefTileWorkload(const TileQueueDescriptor& descriptor, const WorkloadInfo& info)
        : RefBaseWorkload(descriptor, info)
    {}
 
    void RefTileWorkload::Execute() const
    {
        auto inputDataType = GetTensorInfo(m_Data.m_Inputs[0]).GetDataType();
        if(inputDataType == DataType::Signed64)
        {
            Execute<double_t>(m_Data.m_Inputs, m_Data.m_Outputs);
        }
        else
        {
            Execute<float>(m_Data.m_Inputs, m_Data.m_Outputs);
        }
    }
 
    template <typename T>
    void RefTileWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
    {
        ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefTileWorkload_Execute");
 
        const TensorInfo& inputInfo  = GetTensorInfo(inputs[0]);
        const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
 
        std::unique_ptr<Decoder<T>> inputDecoder  = MakeDecoder<T>(inputInfo,
                                                                   inputs[0]->Map());
        std::unique_ptr<Encoder<T>> outputEncoder = MakeEncoder<T>(outputInfo,
                                                                   outputs[0]->Map());
 
        Tile<T, T>(m_Data.m_Parameters,
                   inputInfo,
                   *inputDecoder,
                   *outputEncoder);
    }
 
} // namespace armnn