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 --- ...tarmnn_1_1_convolution2d_queue_descriptor.xhtml | 294 +++++++++++++++++++++ 1 file changed, 294 insertions(+) create mode 100644 20.02/structarmnn_1_1_convolution2d_queue_descriptor.xhtml (limited to '20.02/structarmnn_1_1_convolution2d_queue_descriptor.xhtml') diff --git a/20.02/structarmnn_1_1_convolution2d_queue_descriptor.xhtml b/20.02/structarmnn_1_1_convolution2d_queue_descriptor.xhtml new file mode 100644 index 0000000000..402ed1e505 --- /dev/null +++ b/20.02/structarmnn_1_1_convolution2d_queue_descriptor.xhtml @@ -0,0 +1,294 @@ + + + + + + + + + + + + + +ArmNN: Convolution2dQueueDescriptor Struct Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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+Public Member Functions | +Public Attributes | +List of all members
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+
Convolution2dQueueDescriptor Struct Reference
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#include <WorkloadData.hpp>

+
+Inheritance diagram for Convolution2dQueueDescriptor:
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+
+ + +QueueDescriptorWithParameters< Convolution2dDescriptor > +QueueDescriptor + +
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+Public Member Functions

 Convolution2dQueueDescriptor ()
 
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_Weight
 
const ConstCpuTensorHandle * m_Bias
 
- Public Attributes inherited from QueueDescriptorWithParameters< Convolution2dDescriptor >
Convolution2dDescriptor 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< Convolution2dDescriptor >
 ~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
 
+

Detailed Description

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Definition at line 168 of file WorkloadData.hpp.

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Constructor & Destructor Documentation

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◆ Convolution2dQueueDescriptor()

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Convolution2dQueueDescriptor ()
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Definition at line 170 of file WorkloadData.hpp.

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171  : m_Weight(nullptr)
172  , m_Bias(nullptr)
173  {
174  }
armnn::Convolution2dQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:177
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armnn::Convolution2dQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:176
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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 1159 of file WorkloadData.cpp.

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References armnn::BFloat16, armnn::Float16, armnn::Float32, armnn::GetBiasDataType(), TensorInfo::GetDataType(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

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Referenced by BOOST_AUTO_TEST_CASE().

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1160 {
1161  const std::string descriptorName{"Convolution2dQueueDescriptor"};
1162 
1163  ValidateNumInputs(workloadInfo, descriptorName, 1);
1164  ValidateNumOutputs(workloadInfo, descriptorName, 1);
1165 
1166  const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0];
1167  const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
1168 
1169  ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, "input");
1170  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, "output");
1171 
1172  ValidatePointer(m_Weight, descriptorName, "weight");
1173 
1174  const TensorInfo& weightTensorInfo = m_Weight->GetTensorInfo();
1175  ValidateTensorNumDimensions(weightTensorInfo, descriptorName, 4, "weight");
1176 
1177  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);
1178 
1179  Optional<TensorInfo> optionalBiasTensorInfo;
1180  if (m_Parameters.m_BiasEnabled)
1181  {
1182  ValidatePointer(m_Bias, descriptorName, "bias");
1183 
1184  optionalBiasTensorInfo = MakeOptional<TensorInfo>(m_Bias->GetTensorInfo());
1185  const TensorInfo& biasTensorInfo = optionalBiasTensorInfo.value();
1186 
1187  ValidateTensorDataType(biasTensorInfo, GetBiasDataType(inputTensorInfo.GetDataType()), descriptorName, "bias");
1188  ValidateBiasTensorQuantization(biasTensorInfo, inputTensorInfo, weightTensorInfo, descriptorName);
1189  }
1190 
1191  ValidatePerAxisQuantization(inputTensorInfo,
1192  outputTensorInfo,
1193  weightTensorInfo,
1194  optionalBiasTensorInfo,
1195  descriptorName);
1196 
1197  std::vector<DataType> supportedTypes =
1198  {
1199  DataType::BFloat16,
1200  DataType::Float32,
1201  DataType::QAsymmS8,
1202  DataType::QAsymmU8,
1203  DataType::QSymmS16,
1204  DataType::QSymmS8,
1205  DataType::Float16
1206  };
1207 
1208  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
1209  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");
1210 }
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:438
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armnn::Convolution2dQueueDescriptor::m_Bias
const ConstCpuTensorHandle * m_Bias
Definition: WorkloadData.hpp:177
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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:95
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armnn::Convolution2dQueueDescriptor::m_Weight
const ConstCpuTensorHandle * m_Weight
Definition: WorkloadData.hpp:176
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armnn::WorkloadInfo::m_OutputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
Definition: WorkloadInfo.hpp:19
+ +
armnn::GetBiasDataType
DataType GetBiasDataType(DataType inputDataType)
Definition: WorkloadData.cpp:25
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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 177 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), CompareConvolution2dTestImpl(), Convolution1dTestImpl(), Convolution2dLayer::CreateWorkload(), RefConvolution2dWorkload::RefConvolution2dWorkload(), SimpleConvolution2dNhwcTestImpl(), and SimpleConvolution2dTestImpl().

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◆ m_Weight

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const ConstCpuTensorHandle* m_Weight
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Definition at line 176 of file WorkloadData.hpp.

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Referenced by BOOST_AUTO_TEST_CASE(), ClConvolution2dWorkload::ClConvolution2dWorkload(), CompareConvolution2dTestImpl(), Convolution1dTestImpl(), Convolution2dLayer::CreateWorkload(), RefConvolution2dWorkload::RefConvolution2dWorkload(), SimpleConvolution2dNhwcTestImpl(), and SimpleConvolution2dTestImpl().

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