ArmNN
 22.08
RefPadWorkload.cpp
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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 
17 {
19 }
20 
22 {
23  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
24  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
25 }
26 
27 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 
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
CPU Execution: Reference C++ kernels.
Copyright (c) 2021 ARM Limited and Contributors.
void Execute() const override
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
void MirrorPad(const TensorInfo &inputInfo, const TensorInfo &outputInfo, const ITensorHandle *inputHandle, ITensorHandle *outputHandle, const PadQueueDescriptor &data)
Definition: MirrorPad.cpp:59
PaddingMode
The padding mode controls whether the padding should be filled with constant values (Constant)...
Definition: Types.hpp:186
void ExecuteAsync(ExecutionData &executionData) override
PaddingMode m_PaddingMode
Specifies the Padding mode (Constant, Reflect or Symmetric)
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers