blob: 19cdefc8aca0a24a6b2bd0b7fdf9b35f2004278a [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonPadWorkload.hpp"
#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <arm_compute/core/Types.h>
#include <arm_compute/runtime/NEON/functions/NEPadLayer.h>
#include "NeonWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
NeonPadWorkload::NeonPadWorkload(const PadQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<PadQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonPadWorkload", 1, 1);
arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.m_Parameters.m_PadList.size());
std::reverse_copy(std::begin(descriptor.m_Parameters.m_PadList),
std::end(descriptor.m_Parameters.m_PadList),
std::begin(reversed_PadList));
arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(reversed_PadList);
arm_compute::PixelValue pixelValue = GetPixelValue(input, descriptor.m_Parameters.m_PadValue);
auto layer = std::make_unique<arm_compute::NEPadLayer>();
layer->configure(&input, &output, padList, pixelValue);
m_Layer.reset(layer.release());
}
void NeonPadWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPadWorkload_Execute");
m_Layer->run();
}
arm_compute::Status NeonPadWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const PadDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
std::vector<std::pair<unsigned int, unsigned int>> reversed_PadList(descriptor.m_PadList.size());
std::reverse_copy(std::begin(descriptor.m_PadList),
std::end(descriptor.m_PadList),
std::begin(reversed_PadList));
arm_compute::PaddingList padList = static_cast<arm_compute::PaddingList>(reversed_PadList);
return arm_compute::NEPadLayer::validate(&aclInputInfo, &aclOutputInfo, padList);
}
} // namespace armnn