| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <backendsCommon/Workload.hpp> |
| #include <backendsCommon/WorkloadData.hpp> |
| |
| #include "RefWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| |
| struct RefRankWorkload : public BaseWorkload<RankQueueDescriptor> |
| { |
| public: |
| using BaseWorkload<RankQueueDescriptor>::BaseWorkload; |
| virtual void Execute() const override |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| |
| } |
| void ExecuteAsync(WorkingMemDescriptor& workingMemDescriptor) override |
| { |
| Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); |
| } |
| |
| private: |
| void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| const int32_t rank = static_cast<int32_t>(GetTensorInfo(inputs[0]).GetNumDimensions()); |
| |
| std::memcpy(outputs[0]->Map(), &rank, sizeof(int32_t)); |
| outputs[0]->Unmap(); |
| } |
| }; |
| |
| } //namespace armnn |
| |
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