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//
// Copyright © 2022 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>
namespace armnn
{
void RefGatherWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefGatherWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
void RefGatherWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefGatherWorkload_Execute");
const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputInfo0, inputs[0]->Map());
Decoder<float>& decoder = *decoderPtr;
const int32_t* indicesData = reinterpret_cast<int32_t*>(inputs[1]->Map());
std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo, outputs[0]->Map());
Encoder<float>& encoder = *encoderPtr;
Gather(inputInfo0, inputInfo1, outputInfo, decoder, indicesData, encoder, m_Data.m_Parameters.m_Axis);
}
} //namespace armnn
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