| // |
| // Copyright © 2018-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefPadWorkload.hpp" |
| |
| #include "MirrorPad.hpp" |
| #include "Pad.hpp" |
| #include "Profiling.hpp" |
| #include "RefWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| |
| void RefPadWorkload::Execute() const |
| { |
| Execute(m_Data.m_Inputs, m_Data.m_Outputs); |
| } |
| |
| void RefPadWorkload::ExecuteAsync(ExecutionData& executionData) |
| { |
| WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data); |
| Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs); |
| } |
| |
| void RefPadWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefPadWorkload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); |
| const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); |
| |
| PaddingMode paddingMode = m_Data.m_Parameters.m_PaddingMode; |
| if (paddingMode == PaddingMode::Constant) |
| { |
| armnn::Pad(inputInfo, outputInfo, inputs[0], outputs[0], m_Data); |
| } |
| else if(paddingMode == PaddingMode::Reflect || paddingMode == PaddingMode::Symmetric) |
| { |
| armnn::MirrorPad(inputInfo, outputInfo, inputs[0], outputs[0], m_Data); |
| } |
| else |
| { |
| throw InvalidArgumentException("Padding mode not supported."); |
| } |
| } |
| |
| } //namespace armnn |