1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "RefStackWorkload.hpp"
7
8 #include "RefWorkloadUtils.hpp"
9 #include "Stack.hpp"
10
11 #include <Profiling.hpp>
12
13 namespace armnn
14 {
15
RefStackWorkload(const StackQueueDescriptor & descriptor,const WorkloadInfo & info)16 RefStackWorkload::RefStackWorkload(const StackQueueDescriptor& descriptor,
17 const WorkloadInfo& info)
18 : RefBaseWorkload(descriptor, info)
19 {}
20
Execute() const21 void RefStackWorkload::Execute() const
22 {
23 Execute(m_Data.m_Inputs, m_Data.m_Outputs);
24 }
25
ExecuteAsync(ExecutionData & executionData)26 void RefStackWorkload::ExecuteAsync(ExecutionData& executionData)
27 {
28 WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
29 Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
30 }
31
Execute(std::vector<ITensorHandle * > inputs,std::vector<ITensorHandle * > outputs) const32 void RefStackWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
33 {
34 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefStackWorkload_Execute");
35
36 const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
37 const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
38
39 std::vector<std::unique_ptr<Decoder<float>>> inputDecoders;
40 for (unsigned int i=0; i<inputs.size(); ++i)
41 {
42 inputDecoders.push_back(MakeDecoder<float>(GetTensorInfo(inputs[i]),
43 inputs[i]->Map()));
44 }
45 std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
46 outputs[0]->Map());
47
48 Stack(m_Data, inputDecoders, *outputEncoder, inputInfo, outputInfo);
49 }
50
51 } // namespace armnn
52