xref: /aosp_15_r20/external/armnn/src/backends/reference/workloads/RefQuantizeWorkload.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefQuantizeWorkload.hpp"
7 
8 #include "RefWorkloadUtils.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 
13 namespace armnn
14 {
15 
16 namespace
17 {
18 
QuantizeImpl(Decoder<float> & in,Encoder<float> & out,size_t numValues)19 void QuantizeImpl(Decoder<float>& in, Encoder<float>& out, size_t numValues)
20 {
21     for (unsigned int i = 0; i < numValues; i++)
22     {
23         in[i];
24         out[i];
25         out.Set(in.Get());
26     }
27 }
28 
29 } //namespace
30 
RefQuantizeWorkload(const QuantizeQueueDescriptor & descriptor,const WorkloadInfo & info)31 RefQuantizeWorkload::RefQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, const WorkloadInfo &info)
32     : RefBaseWorkload(descriptor, info)
33     , m_NumElements(info.m_InputTensorInfos[0].GetNumElements())
34 {
35 }
36 
Execute() const37 void RefQuantizeWorkload::Execute() const
38 {
39     Execute(m_Data.m_Inputs, m_Data.m_Outputs);
40 }
41 
ExecuteAsync(ExecutionData & executionData)42 void RefQuantizeWorkload::ExecuteAsync(ExecutionData& executionData)
43 {
44     WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
45     Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
46 }
47 
Execute(std::vector<ITensorHandle * > inputs,std::vector<ITensorHandle * > outputs) const48 void RefQuantizeWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
49 {
50     std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map());
51     std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map());
52 
53     QuantizeImpl(*inputDecoder, *outputEncoder, m_NumElements);
54 }
55 
56 } //namespace armnn