| // |
| // 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) |
| { |
| // Report Profiling Details |
| ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonPadWorkload_Construct", |
| descriptor.m_Parameters, |
| info, |
| this->GetGuid()); |
| |
| 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.info(), 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_GUID("NeonPadWorkload_Execute", this->GetGuid()); |
| 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 |