RefGatherWorkload.cpp

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//
// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "RefGatherWorkload.hpp"
 
#include "Gather.hpp"
#include "Profiling.hpp"
#include "RefWorkloadUtils.hpp"
#include <ResolveType.hpp>
#include <fmt/format.h>
 
namespace armnn
{
 
void RefGatherWorkload::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 RefGatherWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
    ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefGatherWorkload_Execute");
 
    const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
    const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
 
    const int32_t* indicesData = reinterpret_cast<int32_t*>(inputs[1]->Map());
    // Check for negative indices, it could not be checked in validate as we do not have access to the values there
    for (unsigned int i = 0; i < inputInfo1.GetNumElements(); ++i)
    {
        if (indicesData[i] < 0)
        {
            throw InvalidArgumentException((fmt::format("Gather: indices[{}] < 0", i)));
        }
    }
 
    std::unique_ptr<Decoder<T>> decoderPtr = MakeDecoder<T>(inputInfo0, inputs[0]->Map());
    Decoder<T>& decoder = *decoderPtr;
 
    std::unique_ptr<Encoder<T>> encoderPtr = MakeEncoder<T>(outputInfo, outputs[0]->Map());
    Encoder<T>& encoder = *encoderPtr;
 
    Gather(inputInfo0, inputInfo1, outputInfo, decoder, indicesData, encoder, m_Data.m_Parameters.m_Axis);
}
} //namespace armnn