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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefStackWorkload.hpp"
#include "RefWorkloadUtils.hpp"
#include "Stack.hpp"
#include <Profiling.hpp>
namespace armnn
{
RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor,
const WorkloadInfo& info)
: RefBaseWorkload(descriptor, info)
{}
void RefStackWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefStackWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
std::vector<std::unique_ptr<Decoder<float>>> inputDecoders;
for (unsigned int i=0; i<inputs.size(); ++i)
{
inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(inputs[i]),
inputs[i]->Map()));
}
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
outputs[0]->Map());
Stack(m_Data, inputDecoders, *outputEncoder, inputInfo, outputInfo);
}
} // namespace armnn
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