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//
// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefSoftmaxWorkload.hpp"
#include "Decoders.hpp"
#include "Encoders.hpp"
#include "RefWorkloadUtils.hpp"
#include "Softmax.hpp"
#include "Profiling.hpp"
#include <vector>
namespace armnn
{
void RefSoftmaxWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefSoftmaxWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefSoftmaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefSoftmaxWorkload_Execute");
const TensorInfo &inputTensorInfo = GetTensorInfo(inputs[0]);
std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, inputs[0]->Map());
Decoder<float> &decoder = *decoderPtr;
const TensorInfo &outputTensorInfo = GetTensorInfo(outputs[0]);
std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, outputs[0]->Map());
Encoder<float> &encoder = *encoderPtr;
Softmax(decoder,
encoder,
inputTensorInfo,
m_Data.m_Parameters.m_Beta,
m_Data.m_Parameters.m_Axis);
}
} //namespace armnn
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