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David Monahan97451b42020-12-03 09:48:06 +00001//
Mike Kelly7cbe7812023-07-25 17:37:33 +01002// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
David Monahan97451b42020-12-03 09:48:06 +00003// SPDX-License-Identifier: MIT
4//
5
6#pragma once
7
Teresa Charlin588cbdf2022-01-19 15:55:37 +00008#include "NeonBaseWorkload.hpp"
Colm Donelan0c479742021-12-10 12:43:54 +00009#include <armnn/backends/WorkloadData.hpp>
David Monahan97451b42020-12-03 09:48:06 +000010
11#include "NeonWorkloadUtils.hpp"
12
13namespace armnn
14{
15
Teresa Charlin588cbdf2022-01-19 15:55:37 +000016struct NeonRankWorkload : public NeonBaseWorkload<RankQueueDescriptor>
David Monahan97451b42020-12-03 09:48:06 +000017{
18public:
Teresa Charlin588cbdf2022-01-19 15:55:37 +000019 using NeonBaseWorkload<RankQueueDescriptor>::NeonBaseWorkload;
David Monahan97451b42020-12-03 09:48:06 +000020 virtual void Execute() const override
21 {
Mike Kelly7cbe7812023-07-25 17:37:33 +010022 ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonRankWorkload_Execute");
23
David Monahan97451b42020-12-03 09:48:06 +000024 const NeonTensorHandle* neonTensorHandle = PolymorphicDowncast<const NeonTensorHandle*>(m_Data.m_Inputs[0]);
25 const int32_t rank = static_cast<int32_t>(neonTensorHandle->GetShape().GetNumDimensions());
26
27 std::memcpy(GetOutputTensorData<void>(0, m_Data), &rank, sizeof(int32_t));
David Monahanc11ba462020-12-03 11:09:46 +000028 m_Data.m_Outputs[0]->Unmap();
David Monahan97451b42020-12-03 09:48:06 +000029 }
30};
31
32} //namespace armnn