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_1_batch_normalization_queue_descriptor.xhtml | 334 +++++++++++++++++++++ 1 file changed, 334 insertions(+) create mode 100644 21.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml (limited to '21.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml') diff --git a/21.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml b/21.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml new file mode 100644 index 0000000000..6253704ef9 --- /dev/null +++ b/21.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml @@ -0,0 +1,334 @@ + + + + + + + + + + + + + +ArmNN: BatchNormalizationQueueDescriptor 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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+
BatchNormalizationQueueDescriptor Struct Reference
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+ +

#include <WorkloadData.hpp>

+
+Inheritance diagram for BatchNormalizationQueueDescriptor:
+
+
+ + +QueueDescriptorWithParameters< BatchNormalizationDescriptor > +QueueDescriptor + +
+ + + + + + + + + + + + +

+Public Member Functions

 BatchNormalizationQueueDescriptor ()
 
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_Mean
 
const ConstCpuTensorHandle * m_Variance
 
const ConstCpuTensorHandle * m_Beta
 
const ConstCpuTensorHandle * m_Gamma
 
- Public Attributes inherited from QueueDescriptorWithParameters< BatchNormalizationDescriptor >
BatchNormalizationDescriptor 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< BatchNormalizationDescriptor >
 ~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

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+

Definition at line 293 of file WorkloadData.hpp.

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Constructor & Destructor Documentation

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◆ BatchNormalizationQueueDescriptor()

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BatchNormalizationQueueDescriptor ()
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Definition at line 295 of file WorkloadData.hpp.

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296  : m_Mean(nullptr)
297  , m_Variance(nullptr)
298  , m_Beta(nullptr)
299  , m_Gamma(nullptr)
300  {
301  }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:306
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armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:305
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armnn::BatchNormalizationQueueDescriptor::m_Mean
const ConstCpuTensorHandle * m_Mean
Definition: WorkloadData.hpp:303
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armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:304
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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 1185 of file WorkloadData.cpp.

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References armnn::BFloat16, armnn::Float16, armnn::Float32, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

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1186 {
1187  const std::string descriptorName{"BatchNormalizationQueueDescriptor"};
1188 
1189  ValidateNumInputs(workloadInfo, descriptorName, 1);
1190  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1191 
1192  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1193  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1194 
1195  std::vector<DataType> supportedTypes =
1196  {
1197  DataType::BFloat16,
1198  DataType::Float16,
1199  DataType::Float32,
1200  DataType::QAsymmS8,
1201  DataType::QAsymmU8,
1202  DataType::QSymmS16
1203  };
1204 
1205  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1206  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
1207 
1208  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1209  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1210 
1211  ValidatePointer(m_Mean, descriptorName, "mean");
1212  ValidatePointer(m_Variance, descriptorName, "variance");
1213  ValidatePointer(m_Beta, descriptorName, "beta");
1214  ValidatePointer(m_Gamma, descriptorName, "gamma");
1215 
1216  const TensorInfo& mean = m_Mean->GetTensorInfo();
1217  const TensorInfo& variance = m_Variance->GetTensorInfo();
1218  const TensorInfo& beta = m_Beta->GetTensorInfo();
1219  const TensorInfo& gamma = m_Gamma->GetTensorInfo();
1220 
1221  ValidateTensorNumDimensions(mean, descriptorName, 1, "mean");
1222  ValidateTensorNumDimensions(variance, descriptorName, 1, "variance");
1223  ValidateTensorNumDimensions(beta, descriptorName, 1, "beta");
1224  ValidateTensorNumDimensions(gamma, descriptorName, 1, "gamma");
1225 
1226  ValidateTensorShapesMatch(mean, variance, descriptorName, "mean", "variance");
1227  ValidateTensorShapesMatch(mean, beta, descriptorName, "mean", "beta");
1228  ValidateTensorShapesMatch(mean, gamma, descriptorName, "mean", "gamma");
1229 }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:306
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armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:305
+ +
armnn::BatchNormalizationQueueDescriptor::m_Mean
const ConstCpuTensorHandle * m_Mean
Definition: WorkloadData.hpp:303
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armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:304
+ + +
armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
+ + +
armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
+ + +
armnn::ConstCpuTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: CpuTensorHandle.hpp:37
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Member Data Documentation

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◆ m_Beta

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const ConstCpuTensorHandle* m_Beta
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Definition at line 305 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), CompareBatchNormTest(), and BatchNormalizationLayer::CreateWorkload().

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◆ m_Gamma

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const ConstCpuTensorHandle* m_Gamma
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Definition at line 306 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), CompareBatchNormTest(), and BatchNormalizationLayer::CreateWorkload().

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◆ m_Mean

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const ConstCpuTensorHandle* m_Mean
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Definition at line 303 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), CompareBatchNormTest(), and BatchNormalizationLayer::CreateWorkload().

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◆ m_Variance

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const ConstCpuTensorHandle* m_Variance
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Definition at line 304 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), CompareBatchNormTest(), and BatchNormalizationLayer::CreateWorkload().

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