blob: 9bc4efa9191c41364dc20519b3a4b8f3da2201db [file] [log] [blame]
//
// Copyright © 2022 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(Compute::CpuRef, "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