| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "NeonDetectionPostProcessWorkload.hpp" |
| |
| #include "NeonWorkloadUtils.hpp" |
| |
| #include <aclCommon/ArmComputeTensorHandle.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| |
| #include <boost/cast.hpp> |
| |
| namespace armnn |
| { |
| |
| arm_compute::DetectionPostProcessLayerInfo MakeInfo(const DetectionPostProcessDescriptor& desc) |
| { |
| return arm_compute::DetectionPostProcessLayerInfo(desc.m_MaxDetections, |
| desc.m_MaxClassesPerDetection, |
| desc.m_NmsScoreThreshold, |
| desc.m_NmsIouThreshold, |
| desc.m_NumClasses, |
| { desc.m_ScaleX, |
| desc.m_ScaleY, |
| desc.m_ScaleW, |
| desc.m_ScaleH }, |
| desc.m_UseRegularNms, |
| desc.m_DetectionsPerClass); |
| } |
| |
| arm_compute::Status NeonDetectionPostProcessValidate(const TensorInfo& boxEncodings, |
| const TensorInfo& scores, |
| const TensorInfo& anchors, |
| const TensorInfo& detectionBoxes, |
| const TensorInfo& detectionClasses, |
| const TensorInfo& detectionScores, |
| const TensorInfo& numDetections, |
| const DetectionPostProcessDescriptor &desc) |
| { |
| arm_compute::DetectionPostProcessLayerInfo info = MakeInfo(desc); |
| |
| const arm_compute::TensorInfo aclBoxEncodings = |
| armcomputetensorutils::BuildArmComputeTensorInfo(boxEncodings); |
| |
| const arm_compute::TensorInfo aclScores = |
| armcomputetensorutils::BuildArmComputeTensorInfo(scores); |
| |
| const arm_compute::TensorInfo aclAnchors = |
| armcomputetensorutils::BuildArmComputeTensorInfo(anchors); |
| |
| arm_compute::TensorInfo aclDetectionBoxes = |
| armcomputetensorutils::BuildArmComputeTensorInfo(detectionBoxes); |
| |
| arm_compute::TensorInfo aclDetectionClasses = |
| armcomputetensorutils::BuildArmComputeTensorInfo(detectionClasses); |
| |
| arm_compute::TensorInfo aclDetectionScores = |
| armcomputetensorutils::BuildArmComputeTensorInfo(detectionScores); |
| |
| arm_compute::TensorInfo aclNumDetections = |
| armcomputetensorutils::BuildArmComputeTensorInfo(numDetections); |
| |
| return arm_compute::CPPDetectionPostProcessLayer::validate( |
| &aclBoxEncodings, |
| &aclScores, |
| &aclAnchors, |
| &aclDetectionBoxes, |
| &aclDetectionClasses, |
| &aclDetectionScores, |
| &aclNumDetections, |
| info); |
| } |
| |
| NeonDetectionPostProcessWorkload::NeonDetectionPostProcessWorkload( |
| const DetectionPostProcessQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : BaseWorkload<DetectionPostProcessQueueDescriptor>(descriptor, info) |
| { |
| m_Anchors = std::make_unique<arm_compute::Tensor>(); |
| BuildArmComputeTensor(*m_Anchors, descriptor.m_Anchors->GetTensorInfo()); |
| |
| arm_compute::DetectionPostProcessLayerInfo di = MakeInfo(m_Data.m_Parameters); |
| |
| auto AclTensorRef = [](ITensorHandle* tensor) -> arm_compute::ITensor& |
| { |
| return boost::polymorphic_downcast<IAclTensorHandle*>(tensor)->GetTensor(); |
| }; |
| |
| arm_compute::ITensor& boxEncodings = AclTensorRef(m_Data.m_Inputs[0]); |
| arm_compute::ITensor& scores = AclTensorRef(m_Data.m_Inputs[1]); |
| |
| arm_compute::ITensor& detectionBoxes = AclTensorRef(m_Data.m_Outputs[0]); |
| arm_compute::ITensor& detectionClasses = AclTensorRef(m_Data.m_Outputs[1]); |
| arm_compute::ITensor& detectionScores = AclTensorRef(m_Data.m_Outputs[2]); |
| arm_compute::ITensor& numDetections = AclTensorRef(m_Data.m_Outputs[3]); |
| |
| m_Func.configure(&boxEncodings, &scores, m_Anchors.get(), |
| &detectionBoxes, &detectionClasses, &detectionScores, &numDetections, |
| di); |
| |
| InitializeArmComputeTensorData(*m_Anchors, m_Data.m_Anchors); |
| } |
| |
| void NeonDetectionPostProcessWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDetectionPostProcessWorkload_Execute"); |
| m_Func.run(); |
| } |
| |
| } // namespace armnn |