blob: 9733cbc859adc2e9fe18d91bbfc60715795c976c [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. 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(WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
void RefSoftmaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "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