xref: /aosp_15_r20/external/armnn/src/backends/reference/workloads/RefPadWorkload.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefPadWorkload.hpp"
7 
8 #include "MirrorPad.hpp"
9 #include "Pad.hpp"
10 #include "Profiling.hpp"
11 #include "RefWorkloadUtils.hpp"
12 
13 namespace armnn
14 {
15 
Execute() const16 void RefPadWorkload::Execute() const
17 {
18     Execute(m_Data.m_Inputs, m_Data.m_Outputs);
19 }
20 
ExecuteAsync(ExecutionData & executionData)21 void RefPadWorkload::ExecuteAsync(ExecutionData& executionData)
22 {
23     WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
24     Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
25 }
26 
Execute(std::vector<ITensorHandle * > inputs,std::vector<ITensorHandle * > outputs) const27 void RefPadWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
28 {
29     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefPadWorkload_Execute");
30 
31     const TensorInfo& inputInfo  = GetTensorInfo(inputs[0]);
32     const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
33 
34     PaddingMode paddingMode = m_Data.m_Parameters.m_PaddingMode;
35     if (paddingMode == PaddingMode::Constant)
36     {
37         armnn::Pad(inputInfo, outputInfo, inputs[0], outputs[0], m_Data);
38     }
39     else if(paddingMode == PaddingMode::Reflect || paddingMode == PaddingMode::Symmetric)
40     {
41         armnn::MirrorPad(inputInfo, outputInfo, inputs[0], outputs[0], m_Data);
42     }
43     else
44     {
45         throw InvalidArgumentException("Padding mode not supported.");
46     }
47 }
48 
49 } //namespace armnn