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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefTileWorkload.hpp"
#include "RefWorkloadUtils.hpp"
#include "Tile.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefTileWorkload::RefTileWorkload(const TileQueueDescriptor& descriptor, const WorkloadInfo& info)
: RefBaseWorkload(descriptor, info)
{}
void RefTileWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefTileWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefTileWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefTileWorkload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
inputs[0]->Map());
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
outputs[0]->Map());
Tile(m_Data.m_Parameters,
inputInfo,
*inputDecoder,
*outputEncoder);
}
} // namespace armnn
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