xref: /aosp_15_r20/external/armnn/src/backends/reference/workloads/RefRankWorkload.hpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #pragma once
7 
8 #include "RefBaseWorkload.hpp"
9 #include <armnn/backends/WorkloadData.hpp>
10 
11 #include "RefWorkloadUtils.hpp"
12 
13 namespace armnn
14 {
15 
16 struct RefRankWorkload : public RefBaseWorkload<RankQueueDescriptor>
17 {
18 public:
19     using RefBaseWorkload<RankQueueDescriptor>::RefBaseWorkload;
Executearmnn::RefRankWorkload20     virtual void Execute() const override
21     {
22         Execute(m_Data.m_Inputs, m_Data.m_Outputs);
23 
24     }
ExecuteAsyncarmnn::RefRankWorkload25     void ExecuteAsync(ExecutionData& executionData)  override
26     {
27         WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
28     Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
29     }
30 
31 private:
Executearmnn::RefRankWorkload32     void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
33     {
34         const int32_t rank = static_cast<int32_t>(GetTensorInfo(inputs[0]).GetNumDimensions());
35 
36         std::memcpy(outputs[0]->Map(), &rank, sizeof(int32_t));
37         outputs[0]->Unmap();
38     }
39 };
40 
41 } //namespace armnn
42 
43 
44 
45 
46