From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- ...1_detection_post_process_queue_descriptor.xhtml | 275 +++++++++++++++++++++ 1 file changed, 275 insertions(+) create mode 100644 21.02/structarmnn_1_1_detection_post_process_queue_descriptor.xhtml (limited to '21.02/structarmnn_1_1_detection_post_process_queue_descriptor.xhtml') diff --git a/21.02/structarmnn_1_1_detection_post_process_queue_descriptor.xhtml b/21.02/structarmnn_1_1_detection_post_process_queue_descriptor.xhtml new file mode 100644 index 0000000000..331d3dbd86 --- /dev/null +++ b/21.02/structarmnn_1_1_detection_post_process_queue_descriptor.xhtml @@ -0,0 +1,275 @@ + + + + + + + + + + + + + +ArmNN: DetectionPostProcessQueueDescriptor Struct Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  21.02 +
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+Public Member Functions | +Public Attributes | +List of all members
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+
DetectionPostProcessQueueDescriptor Struct Reference
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+ +

#include <WorkloadData.hpp>

+
+Inheritance diagram for DetectionPostProcessQueueDescriptor:
+
+
+ + +QueueDescriptorWithParameters< DetectionPostProcessDescriptor > +QueueDescriptor + +
+ + + + + + + + + + + + +

+Public Member Functions

 DetectionPostProcessQueueDescriptor ()
 
void Validate (const WorkloadInfo &workloadInfo) const
 
- Public Member Functions inherited from QueueDescriptor
void ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
 
template<typename T >
const T * GetAdditionalInformation () const
 
+ + + + + + + + + + + + + +

+Public Attributes

const ConstCpuTensorHandle * m_Anchors
 
- Public Attributes inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
DetectionPostProcessDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
+ + + + + + + + + + + + + + + + + + + +

+Additional Inherited Members

- Protected Member Functions inherited from QueueDescriptorWithParameters< DetectionPostProcessDescriptor >
 ~QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters ()=default
 
 QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
 
QueueDescriptorWithParameters & operator= (QueueDescriptorWithParameters const &)=default
 
- Protected Member Functions inherited from QueueDescriptor
 ~QueueDescriptor ()=default
 
 QueueDescriptor ()
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptor & operator= (QueueDescriptor const &)=default
 
+

Detailed Description

+
+

Definition at line 221 of file WorkloadData.hpp.

+

Constructor & Destructor Documentation

+ +

◆ DetectionPostProcessQueueDescriptor()

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DetectionPostProcessQueueDescriptor ()
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Definition at line 223 of file WorkloadData.hpp.

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224  : m_Anchors(nullptr)
225  {
226  }
armnn::DetectionPostProcessQueueDescriptor::m_Anchors
const ConstCpuTensorHandle * m_Anchors
Definition: WorkloadData.hpp:228
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+
+
+

Member Function Documentation

+ +

◆ Validate()

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void Validate (const WorkloadInfo & workloadInfo) const
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Definition at line 2641 of file WorkloadData.cpp.

+ +

References anchorsInfo, armnn::BFloat16, armnn::Float16, armnn::Float32, TensorInfo::GetShape(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and scoresInfo.

+
2642 {
2643  const std::string& descriptorName{"DetectionPostProcessQueueDescriptor"};
2644 
2645  ValidateNumInputs(workloadInfo, descriptorName, 2);
2646 
2647  if (workloadInfo.m_OutputTensorInfos.size() != 4)
2648  {
2649  throw InvalidArgumentException(descriptorName + ": Requires exactly four outputs. " +
2650  to_string(workloadInfo.m_OutputTensorInfos.size()) + " has been provided.");
2651  }
2652 
2653  if (m_Anchors == nullptr)
2654  {
2655  throw InvalidArgumentException(descriptorName + ": Anchors tensor descriptor is missing.");
2656  }
2657 
2658  const TensorInfo& boxEncodingsInfo = workloadInfo.m_InputTensorInfos[0];
2659  const TensorInfo& scoresInfo = workloadInfo.m_InputTensorInfos[1];
2660  const TensorInfo& anchorsInfo = m_Anchors->GetTensorInfo();
2661 
2662  const TensorInfo& detectionBoxesInfo = workloadInfo.m_OutputTensorInfos[0];
2663  const TensorInfo& detectionClassesInfo = workloadInfo.m_OutputTensorInfos[1];
2664  const TensorInfo& detectionScoresInfo = workloadInfo.m_OutputTensorInfos[2];
2665  const TensorInfo& numDetectionsInfo = workloadInfo.m_OutputTensorInfos[3];
2666 
2667  ValidateTensorNumDimensions(boxEncodingsInfo, descriptorName, 3, "box encodings");
2668  ValidateTensorNumDimensions(scoresInfo, descriptorName, 3, "scores");
2669  ValidateTensorNumDimensions(anchorsInfo, descriptorName, 2, "anchors");
2670 
2671  const std::vector<DataType> supportedInputTypes =
2672  {
2673  DataType::BFloat16,
2674  DataType::Float32,
2675  DataType::Float16,
2676  DataType::QAsymmS8,
2677  DataType::QAsymmU8,
2678  DataType::QSymmS16
2679  };
2680 
2681  ValidateDataTypes(boxEncodingsInfo, supportedInputTypes, descriptorName);
2682  ValidateDataTypes(scoresInfo, supportedInputTypes, descriptorName);
2683  ValidateDataTypes(anchorsInfo, supportedInputTypes, descriptorName);
2684 
2685  ValidateTensorNumDimensions(detectionBoxesInfo, descriptorName, 3, "detection boxes");
2686  ValidateTensorNumDimensions(detectionScoresInfo, descriptorName, 2, "detection scores");
2687  ValidateTensorNumDimensions(detectionClassesInfo, descriptorName, 2, "detection classes");
2688  ValidateTensorNumDimensions(numDetectionsInfo, descriptorName, 1, "num detections");
2689 
2690  // NOTE: Output is always Float32 regardless of input type
2691  ValidateTensorDataType(detectionBoxesInfo, DataType::Float32, descriptorName, "detection boxes");
2692  ValidateTensorDataType(detectionScoresInfo, DataType::Float32, descriptorName, "detection scores");
2693  ValidateTensorDataType(detectionClassesInfo, DataType::Float32, descriptorName, "detection classes");
2694  ValidateTensorDataType(numDetectionsInfo, DataType::Float32, descriptorName, "num detections");
2695 
2696  if (m_Parameters.m_NmsIouThreshold <= 0.0f || m_Parameters.m_NmsIouThreshold > 1.0f)
2697  {
2698  throw InvalidArgumentException(descriptorName + ": Intersection over union threshold "
2699  "must be positive and less than or equal to 1.");
2700  }
2701 
2702  if (scoresInfo.GetShape()[2] != m_Parameters.m_NumClasses + 1)
2703  {
2704  throw InvalidArgumentException(descriptorName + ": Number of classes with background "
2705  "should be equal to number of classes + 1.");
2706  }
2707 }
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
+ +
anchorsInfo
armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32)
+ + + +
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
+
armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold
float m_NmsIouThreshold
Intersection over union threshold.
Definition: Descriptors.hpp:551
+ + +
armnn::DetectionPostProcessDescriptor::m_NumClasses
uint32_t m_NumClasses
Number of classes.
Definition: Descriptors.hpp:553
+
armnn::DetectionPostProcessQueueDescriptor::m_Anchors
const ConstCpuTensorHandle * m_Anchors
Definition: WorkloadData.hpp:228
+
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
+ + +
scoresInfo
armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32)
+ +
armnn::ConstCpuTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: CpuTensorHandle.hpp:37
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+
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+

Member Data Documentation

+ +

◆ m_Anchors

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const ConstCpuTensorHandle* m_Anchors
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+ +

Definition at line 228 of file WorkloadData.hpp.

+ +

Referenced by DetectionPostProcessLayer::CreateWorkload(), and DetectionPostProcessImpl().

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The documentation for this struct was generated from the following files: +
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+ + + + -- cgit v1.2.1