ArmNN
 20.02
Public Member Functions | Public Attributes | List of all members
Convolution2dDescriptor Struct Reference

A Convolution2dDescriptor for the Convolution2dLayer. More...

#include <Descriptors.hpp>

Public Member Functions

 Convolution2dDescriptor ()
 
bool operator== (const Convolution2dDescriptor &rhs) const
 

Public Attributes

uint32_t m_PadLeft
 Padding left value in the width dimension. More...
 
uint32_t m_PadRight
 Padding right value in the width dimension. More...
 
uint32_t m_PadTop
 Padding top value in the height dimension. More...
 
uint32_t m_PadBottom
 Padding bottom value in the height dimension. More...
 
uint32_t m_StrideX
 Stride value when proceeding through input for the width dimension. More...
 
uint32_t m_StrideY
 Stride value when proceeding through input for the height dimension. More...
 
uint32_t m_DilationX
 Dilation along x axis. More...
 
uint32_t m_DilationY
 Dilation along y axis. More...
 
bool m_BiasEnabled
 Enable/disable bias. More...
 
DataLayout m_DataLayout
 The data layout to be used (NCHW, NHWC). More...
 

Detailed Description

A Convolution2dDescriptor for the Convolution2dLayer.

Definition at line 392 of file Descriptors.hpp.

Constructor & Destructor Documentation

◆ Convolution2dDescriptor()

Convolution2dDescriptor ( )
inline

Definition at line 394 of file Descriptors.hpp.

395  : m_PadLeft(0)
396  , m_PadRight(0)
397  , m_PadTop(0)
398  , m_PadBottom(0)
399  , m_StrideX(0)
400  , m_StrideY(0)
401  , m_DilationX(1)
402  , m_DilationY(1)
403  , m_BiasEnabled(false)
404  , m_DataLayout(DataLayout::NCHW)
405  {}
armnn::Convolution2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:428
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:438
armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:440
armnn::Convolution2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:424
armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:436
armnn::Convolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:426
armnn::Convolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:430
armnn::Convolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:432
armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:434
armnn::Convolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:422

Member Function Documentation

◆ operator==()

bool operator== ( const Convolution2dDescriptor &  rhs) const
inline

Definition at line 407 of file Descriptors.hpp.

References Convolution2dDescriptor::m_BiasEnabled, Convolution2dDescriptor::m_DataLayout, Convolution2dDescriptor::m_DilationX, Convolution2dDescriptor::m_DilationY, Convolution2dDescriptor::m_PadBottom, Convolution2dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadRight, Convolution2dDescriptor::m_PadTop, Convolution2dDescriptor::m_StrideX, and Convolution2dDescriptor::m_StrideY.

408  {
409  return m_PadLeft == rhs.m_PadLeft &&
410  m_PadRight == rhs.m_PadRight &&
411  m_PadTop == rhs.m_PadTop &&
412  m_PadBottom == rhs.m_PadBottom &&
413  m_StrideX == rhs.m_StrideX &&
414  m_StrideY == rhs.m_StrideY &&
415  m_DilationX == rhs.m_DilationX &&
416  m_DilationY == rhs.m_DilationY &&
417  m_BiasEnabled == rhs.m_BiasEnabled &&
418  m_DataLayout == rhs.m_DataLayout;
419  }
armnn::Convolution2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:428
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:438
armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:440
armnn::Convolution2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:424
armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:436
armnn::Convolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:426
armnn::Convolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:430
armnn::Convolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:432
armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:434
armnn::Convolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:422

Member Data Documentation

◆ m_BiasEnabled

bool m_BiasEnabled

Enable/disable bias.

Definition at line 438 of file Descriptors.hpp.

Referenced by Network::AddConcatLayer(), CaffeParserBase::AddConvLayerWithDepthwiseConv(), CaffeParserBase::AddConvLayerWithSplits(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), TestFullyConnectedLayerVistor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dPerAxisQuantTest(), CreateConvolution2dGraph(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), Convolution2dLayer::CreateWorkload(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), RefConvolution2dWorkload::RefConvolution2dWorkload(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), armnn::TestQuantizeConvolution2d(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_DataLayout

DataLayout m_DataLayout

The data layout to be used (NCHW, NHWC).

Definition at line 440 of file Descriptors.hpp.

Referenced by armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), TestBatchNormalizationLayerVisitor::CheckDescriptor(), armnnTfParser::ConvertTfTensorDataType(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), CreateConvolution2dGraph(), TfLiteParser::CreateNetworkFromBinary(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), Convolution2dLayer::SerializeLayerParameters(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_DilationX

uint32_t m_DilationX

Dilation along x axis.

Definition at line 434 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), Convolution2dInferOutputShapeTest(), TfLiteParser::CreateNetworkFromBinary(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_DilationY

uint32_t m_DilationY

Dilation along y axis.

Definition at line 436 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), Convolution2dInferOutputShapeTest(), TfLiteParser::CreateNetworkFromBinary(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_PadBottom

uint32_t m_PadBottom

Padding bottom value in the height dimension.

Definition at line 428 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), CaffeParserBase::AddConvLayerWithSplits(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_PadLeft

uint32_t m_PadLeft

Padding left value in the width dimension.

Definition at line 422 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_PadRight

uint32_t m_PadRight

Padding right value in the width dimension.

Definition at line 424 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), CaffeParserBase::AddConvLayerWithSplits(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_PadTop

uint32_t m_PadTop

Padding top value in the height dimension.

Definition at line 426 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), FoldPadIntoConvolution2dImpl::Run(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_StrideX

uint32_t m_StrideX

Stride value when proceeding through input for the width dimension.

Definition at line 430 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), CaffeParserBase::AddConvLayerWithSplits(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), CreateConvolution2dGraph(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

◆ m_StrideY

uint32_t m_StrideY

Stride value when proceeding through input for the height dimension.

Definition at line 432 of file Descriptors.hpp.

Referenced by CaffeParserBase::AddConvLayerWithDepthwiseConv(), CaffeParserBase::AddConvLayerWithSplits(), armnn::BOOST_AUTO_TEST_CASE(), BOOST_AUTO_TEST_CASE(), TestConvolution2dLayerVisitor::CheckDescriptor(), TestDepthwiseConvolution2dLayerVisitor::CheckDescriptor(), CompareConvolution2dTestImpl(), armnnTfParser::ConvertTfTensorDataType(), Convolution1dTestImpl(), Convolution2dInferOutputShapeTest(), Convolution2dPerAxisQuantTest(), CreateConvolution2dGraph(), TfLiteParser::CreateNetworkFromBinary(), OnnxParser::CreateNetworkFromString(), RefConvolution2dWorkload::Execute(), Deserializer::GetNetworkOutputBindingInfo(), Convolution2dLayer::InferOutputShapes(), Convolution2dDescriptor::operator==(), CaffeParserBase::ParseConvLayer(), StringifyLayerParameters< Convolution2dDescriptor >::Serialize(), SimpleConvolution2dNhwcTestImpl(), SimpleConvolution2dTestImpl(), VerifyPostOptimisationStructureTestImpl(), and SerializerVisitor::VisitConvolution2dLayer().

The documentation for this struct was generated from the following file: