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 --- ...rmnn_1_1_fully_connected_queue_descriptor.xhtml | 296 +++++++++++++++++++++ 1 file changed, 296 insertions(+) create mode 100644 21.02/structarmnn_1_1_fully_connected_queue_descriptor.xhtml (limited to '21.02/structarmnn_1_1_fully_connected_queue_descriptor.xhtml') diff --git a/21.02/structarmnn_1_1_fully_connected_queue_descriptor.xhtml b/21.02/structarmnn_1_1_fully_connected_queue_descriptor.xhtml new file mode 100644 index 0000000000..0bbd11ecd7 --- /dev/null +++ b/21.02/structarmnn_1_1_fully_connected_queue_descriptor.xhtml @@ -0,0 +1,296 @@ + + + + + + + + + + + + + +ArmNN: FullyConnectedQueueDescriptor 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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FullyConnectedQueueDescriptor Struct Reference
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#include <WorkloadData.hpp>

+
+Inheritance diagram for FullyConnectedQueueDescriptor:
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+ + +QueueDescriptorWithParameters< FullyConnectedDescriptor > +QueueDescriptor + +
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+Public Member Functions

 FullyConnectedQueueDescriptor ()
 
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
 
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+Public Attributes

const ConstCpuTensorHandle * m_Weight
 
const ConstCpuTensorHandle * m_Bias
 
- Public Attributes inherited from QueueDescriptorWithParameters< FullyConnectedDescriptor >
FullyConnectedDescriptor m_Parameters
 
- Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * > m_Inputs
 
std::vector< ITensorHandle * > m_Outputs
 
void * m_AdditionalInfoObject
 
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+Additional Inherited Members

- Protected Member Functions inherited from QueueDescriptorWithParameters< FullyConnectedDescriptor >
 ~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
 
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Detailed Description

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Definition at line 165 of file WorkloadData.hpp.

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Constructor & Destructor Documentation

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◆ FullyConnectedQueueDescriptor()

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FullyConnectedQueueDescriptor ()
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Definition at line 167 of file WorkloadData.hpp.

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168  : m_Weight(nullptr)
169  , m_Bias(nullptr)
170  {
171  }
armnn::FullyConnectedQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:173
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armnn::FullyConnectedQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:174
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Member Function Documentation

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◆ Validate()

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void Validate (const WorkloadInfo & workloadInfo) const
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Definition at line 1021 of file WorkloadData.cpp.

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References armnn::BFloat16, armnn::Float16, armnn::Float32, armnn::GetBiasDataType(), TensorInfo::GetDataType(), TensorInfo::GetNumDimensions(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

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1022 {
1023  const std::string descriptorName{"FullyConnectedQueueDescriptor"};
1024 
1025  ValidateNumInputs(workloadInfo, descriptorName, 1);
1026  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1027 
1028  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1029  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1030 
1031  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 2, "output");
1032 
1033  if (!(inputTensorInfo.GetNumDimensions() == 2 || inputTensorInfo.GetNumDimensions() == 4))
1034  {
1035  throw InvalidArgumentException(descriptorName + ": Input tensor must have 2 or 4 dimensions.");
1036  }
1037 
1038  ValidatePointer(m_Weight, descriptorName, "weight");
1039 
1040  const TensorInfo& weightTensorInfo = m_Weight->GetTensorInfo();
1041  ValidateTensorNumDimensions(weightTensorInfo, descriptorName, 2, "weight");
1042 
1043  if (m_Parameters.m_BiasEnabled)
1044  {
1045  ValidatePointer(m_Bias, descriptorName, "bias");
1046 
1047  // Validates type and quantization values.
1048  const TensorInfo& biasTensorInfo = m_Bias->GetTensorInfo();
1049  ValidateBiasTensorQuantization(biasTensorInfo, inputTensorInfo, weightTensorInfo, descriptorName);
1050 
1051  ValidateTensorDataType(biasTensorInfo, GetBiasDataType(inputTensorInfo.GetDataType()), descriptorName, "bias");
1052  ValidateTensorNumDimensions(biasTensorInfo, descriptorName, 1, "bias");
1053  }
1054 
1055  // Check the supported data types
1056  std::vector<DataType> supportedTypes =
1057  {
1058  DataType::BFloat16,
1059  DataType::Float32,
1060  DataType::Float16,
1061  DataType::QAsymmS8,
1062  DataType::QAsymmU8,
1063  DataType::QSymmS16
1064  };
1065 
1066  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1067 
1068  // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
1069  if (inputTensorInfo.GetDataType() == DataType::BFloat16)
1070  {
1071  if (outputTensorInfo.GetDataType() != DataType::BFloat16 && outputTensorInfo.GetDataType() != DataType::Float32)
1072  {
1073  throw InvalidArgumentException(descriptorName + ": " + " Output tensor type must be BFloat16 or Float32 "
1074  "for BFloat16 input.");
1075  }
1076  }
1077  else
1078  {
1079  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1080  }
1081 }
armnn::FullyConnectedQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:173
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armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
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armnn::TensorInfo::GetDataType
DataType GetDataType() const
Definition: Tensor.hpp:194
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armnn::FullyConnectedDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:402
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armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
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armnn::GetBiasDataType
DataType GetBiasDataType(DataType inputDataType)
Definition: WorkloadData.cpp:25
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armnn::FullyConnectedQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:174
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armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:191
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armnn::ConstCpuTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: CpuTensorHandle.hpp:37
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Member Data Documentation

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◆ m_Bias

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const ConstCpuTensorHandle* m_Bias
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Definition at line 174 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), FullyConnectedLayer::CreateWorkload(), RefFullyConnectedWorkload::RefFullyConnectedWorkload(), and SimpleFullyConnectedTestImpl().

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◆ m_Weight

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const ConstCpuTensorHandle* m_Weight
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Definition at line 173 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), FullyConnectedLayer::CreateWorkload(), and SimpleFullyConnectedTestImpl().

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The documentation for this struct was generated from the following files: +
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