A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer. More...

#include <Descriptors.hpp>

Inheritance diagram for TransposeConvolution2dDescriptor:

Public Member Functions
	TransposeConvolution2dDescriptor ()

bool	operator== (const TransposeConvolution2dDescriptor &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...

bool	m_BiasEnabled
	Enable/disable bias. More...

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

bool	m_OutputShapeEnabled
	Output shape if it has been specified. More...

std::vector< unsigned int >	m_OutputShape

Detailed Description

A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.

Definition at line 1213 of file Descriptors.hpp.

Constructor & Destructor Documentation

◆ TransposeConvolution2dDescriptor()

TransposeConvolution2dDescriptor ( )

inline

Definition at line 1215 of file Descriptors.hpp.

                                        :
         m_PadLeft(0),
         m_PadRight(0),
         m_PadTop(0),
         m_PadBottom(0),
         m_StrideX(0),
         m_StrideY(0),
         m_BiasEnabled(false),
         m_DataLayout(DataLayout::NCHW),
         m_OutputShapeEnabled(false)
     {}

Member Function Documentation

◆ operator==()

bool operator== ( const TransposeConvolution2dDescriptor & rhs ) const

inline

Definition at line 1227 of file Descriptors.hpp.

References TransposeConvolution2dDescriptor::m_BiasEnabled, TransposeConvolution2dDescriptor::m_DataLayout, TransposeConvolution2dDescriptor::m_OutputShape, TransposeConvolution2dDescriptor::m_OutputShapeEnabled, TransposeConvolution2dDescriptor::m_PadBottom, TransposeConvolution2dDescriptor::m_PadLeft, TransposeConvolution2dDescriptor::m_PadRight, TransposeConvolution2dDescriptor::m_PadTop, TransposeConvolution2dDescriptor::m_StrideX, and TransposeConvolution2dDescriptor::m_StrideY.

     {
         return m_PadLeft            == rhs.m_PadLeft &&
                m_PadRight           == rhs.m_PadRight &&
                m_PadTop             == rhs.m_PadTop &&
                m_PadBottom          == rhs.m_PadBottom &&
                m_StrideX            == rhs.m_StrideX &&
                m_StrideY            == rhs.m_StrideY &&
                m_BiasEnabled        == rhs.m_BiasEnabled &&
                m_DataLayout         == rhs.m_DataLayout &&
                m_OutputShapeEnabled == rhs.m_OutputShapeEnabled &&
                m_OutputShape        == rhs.m_OutputShape;
     }

Member Data Documentation

◆ m_BiasEnabled

bool m_BiasEnabled

Enable/disable bias.

Definition at line 1254 of file Descriptors.hpp.

◆ m_DataLayout

DataLayout m_DataLayout

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

Definition at line 1256 of file Descriptors.hpp.

◆ m_OutputShape

std::vector<unsigned int> m_OutputShape

Definition at line 1259 of file Descriptors.hpp.

Referenced by TfLiteParserImpl::CreateNetworkFromBinary(), TransposeConvolution2dDescriptor::operator==(), and TransposeConvolution2dLayer::ValidateTensorShapesFromInputs().

◆ m_OutputShapeEnabled

bool m_OutputShapeEnabled

Output shape if it has been specified.

Definition at line 1258 of file Descriptors.hpp.

Referenced by TfLiteParserImpl::CreateNetworkFromBinary(), TransposeConvolution2dDescriptor::operator==(), and TransposeConvolution2dLayer::ValidateTensorShapesFromInputs().

◆ m_PadBottom

uint32_t m_PadBottom

Padding bottom value in the height dimension.

Definition at line 1248 of file Descriptors.hpp.

Referenced by ICaffeParser::CaffeParserImpl::AddDeconvLayerWithSplits(), BOOST_AUTO_TEST_CASE(), TfLiteParserImpl::CreateNetworkFromBinary(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), TransposeConvolution2dLayer::InferOutputShapes(), TransposeConvolution2dDescriptor::operator==(), StringifyLayerParameters< TransposeConvolution2dDescriptor >::Serialize(), TransposeConvolution2dEndToEnd(), and TransposeConvolution2dInferOutputShapeTest().

◆ m_PadLeft

uint32_t m_PadLeft

Padding left value in the width dimension.

Definition at line 1242 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), TfLiteParserImpl::CreateNetworkFromBinary(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), TransposeConvolution2dLayer::InferOutputShapes(), TransposeConvolution2dDescriptor::operator==(), PaddedTransposeConvolution2dTest(), ICaffeParser::CaffeParserImpl::ParseDeconvLayer(), StringifyLayerParameters< TransposeConvolution2dDescriptor >::Serialize(), TransposeConvolution2dEndToEnd(), armnn::TransposeConvolution2dImpl(), and TransposeConvolution2dInferOutputShapeTest().

◆ m_PadRight

uint32_t m_PadRight

Padding right value in the width dimension.

Definition at line 1244 of file Descriptors.hpp.

Referenced by ICaffeParser::CaffeParserImpl::AddDeconvLayerWithSplits(), BOOST_AUTO_TEST_CASE(), TfLiteParserImpl::CreateNetworkFromBinary(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), TransposeConvolution2dLayer::InferOutputShapes(), TransposeConvolution2dDescriptor::operator==(), StringifyLayerParameters< TransposeConvolution2dDescriptor >::Serialize(), TransposeConvolution2dEndToEnd(), and TransposeConvolution2dInferOutputShapeTest().

◆ m_PadTop

uint32_t m_PadTop

Padding top value in the height dimension.

Definition at line 1246 of file Descriptors.hpp.

Referenced by BOOST_AUTO_TEST_CASE(), TfLiteParserImpl::CreateNetworkFromBinary(), armnnSerializer::GetFlatBufferArgMinMaxFunction(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), TransposeConvolution2dLayer::InferOutputShapes(), TransposeConvolution2dDescriptor::operator==(), StringifyLayerParameters< TransposeConvolution2dDescriptor >::Serialize(), TransposeConvolution2dEndToEnd(), armnn::TransposeConvolution2dImpl(), and TransposeConvolution2dInferOutputShapeTest().

◆ m_StrideX

uint32_t m_StrideX

Stride value when proceeding through input for the width dimension.

Definition at line 1250 of file Descriptors.hpp.

◆ m_StrideY

uint32_t m_StrideY

Stride value when proceeding through input for the height dimension.

Definition at line 1252 of file Descriptors.hpp.

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

include/armnn/Descriptors.hpp

Public Member Functions

Public Attributes