From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- ..._1_1_batch_normalization_queue_descriptor.xhtml | 328 +++++++++++++++++++++ 1 file changed, 328 insertions(+) create mode 100644 20.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml (limited to '20.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml') diff --git a/20.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml b/20.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml new file mode 100644 index 0000000000..c5ddfd45c1 --- /dev/null +++ b/20.02/structarmnn_1_1_batch_normalization_queue_descriptor.xhtml @@ -0,0 +1,328 @@ + + + + + + + + + + + + + +ArmNN: BatchNormalizationQueueDescriptor Struct Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  20.02 +
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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>

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+Inheritance diagram for BatchNormalizationQueueDescriptor:
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+ + +QueueDescriptorWithParameters< BatchNormalizationDescriptor > +QueueDescriptor + +
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+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
 
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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
 
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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 ()=default
 
 QueueDescriptor (QueueDescriptor const &)=default
 
QueueDescriptor & operator= (QueueDescriptor const &)=default
 
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Detailed Description

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Definition at line 269 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 271 of file WorkloadData.hpp.

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272  : m_Mean(nullptr)
273  , m_Variance(nullptr)
274  , m_Beta(nullptr)
275  , m_Gamma(nullptr)
276  {
277  }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:282
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armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:281
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armnn::BatchNormalizationQueueDescriptor::m_Mean
const ConstCpuTensorHandle * m_Mean
Definition: WorkloadData.hpp:279
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armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:280
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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 1114 of file WorkloadData.cpp.

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

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1115 {
1116  const std::string descriptorName{"BatchNormalizationQueueDescriptor"};
1117 
1118  ValidateNumInputs(workloadInfo, descriptorName, 1);
1119  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1120 
1121  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1122  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1123 
1124  std::vector<DataType> supportedTypes =
1125  {
1126  DataType::BFloat16,
1127  DataType::Float16,
1128  DataType::Float32,
1129  DataType::QAsymmU8,
1130  DataType::QSymmS16
1131  };
1132 
1133  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1134  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
1135 
1136  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1137  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1138 
1139  ValidatePointer(m_Mean, descriptorName, "mean");
1140  ValidatePointer(m_Variance, descriptorName, "variance");
1141  ValidatePointer(m_Beta, descriptorName, "beta");
1142  ValidatePointer(m_Gamma, descriptorName, "gamma");
1143 
1144  const TensorInfo& mean = m_Mean->GetTensorInfo();
1145  const TensorInfo& variance = m_Variance->GetTensorInfo();
1146  const TensorInfo& beta = m_Beta->GetTensorInfo();
1147  const TensorInfo& gamma = m_Gamma->GetTensorInfo();
1148 
1149  ValidateTensorNumDimensions(mean, descriptorName, 1, "mean");
1150  ValidateTensorNumDimensions(variance, descriptorName, 1, "variance");
1151  ValidateTensorNumDimensions(beta, descriptorName, 1, "beta");
1152  ValidateTensorNumDimensions(gamma, descriptorName, 1, "gamma");
1153 
1154  ValidateTensorShapesMatch(mean, variance, descriptorName, "mean", "variance");
1155  ValidateTensorShapesMatch(mean, beta, descriptorName, "mean", "beta");
1156  ValidateTensorShapesMatch(mean, gamma, descriptorName, "mean", "gamma");
1157 }
armnn::BatchNormalizationQueueDescriptor::m_Gamma
const ConstCpuTensorHandle * m_Gamma
Definition: WorkloadData.hpp:282
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armnn::BatchNormalizationQueueDescriptor::m_Beta
const ConstCpuTensorHandle * m_Beta
Definition: WorkloadData.hpp:281
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armnn::BatchNormalizationQueueDescriptor::m_Mean
const ConstCpuTensorHandle * m_Mean
Definition: WorkloadData.hpp:279
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armnn::BatchNormalizationQueueDescriptor::m_Variance
const ConstCpuTensorHandle * m_Variance
Definition: WorkloadData.hpp:280
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armnn::WorkloadInfo::m_InputTensorInfos
std::vector< TensorInfo > m_InputTensorInfos
Definition: WorkloadInfo.hpp:18
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armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
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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_Beta

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const ConstCpuTensorHandle* m_Beta
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Definition at line 281 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 282 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 279 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 280 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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