template<typename Architecture_t>
class TMVA::DNN::TReshapeLayer< Architecture_t >

Definition at line 41 of file ReshapeLayer.h.

Public Types
using	Matrix_t = typename Architecture_t::Matrix_t

using	Scalar_t = typename Architecture_t::Scalar_t

Public Member Functions
	TReshapeLayer (size_t BatchSize, size_t InputDepth, size_t InputHeight, size_t InputWidth, size_t Depth, size_t Height, size_t Width, size_t OutputNSlices, size_t OutputNRows, size_t OutputNCols, bool Flattening)
	Constructor. More...

	TReshapeLayer (TReshapeLayer< Architecture_t > *layer)
	Copy the reshape layer provided as a pointer. More...

	TReshapeLayer (const TReshapeLayer &)
	Copy Constructor. More...

	~TReshapeLayer ()
	Destructor. More...

virtual void	AddWeightsXMLTo (void *parent)
	Writes the information and the weights about the layer in an XML node. More...

void	Backward (std::vector< Matrix_t > &gradients_backward, const std::vector< Matrix_t > &activations_backward, std::vector< Matrix_t > &inp1, std::vector< Matrix_t > &inp2)
	Backpropagates the error. More...

void	Forward (std::vector< Matrix_t > &input, bool applyDropout=false)
	The input must be in 3D tensor form with the different matrices corresponding to different events in the batch. More...

bool	isFlattening () const
	TODO Add documentation Does this layer flatten? (necessary for DenseLayer) B x D1 x D2 –> 1 x B x (D1 * D2) More...

void	Print () const
	Prints the info about the layer. More...

virtual void	ReadWeightsFromXML (void *parent)
	Read the information and the weights about the layer from XML node. More...

Public Member Functions inherited from TMVA::DNN::VGeneralLayer< Architecture_t >
	VGeneralLayer (size_t BatchSize, size_t InputDepth, size_t InputHeight, size_t InputWidth, size_t Depth, size_t Height, size_t Width, size_t WeightsNSlices, size_t WeightsNRows, size_t WeightsNCols, size_t BiasesNSlices, size_t BiasesNRows, size_t BiasesNCols, size_t OutputNSlices, size_t OutputNRows, size_t OutputNCols, EInitialization Init)
	Constructor. More...

	VGeneralLayer (size_t BatchSize, size_t InputDepth, size_t InputHeight, size_t InputWidth, size_t Depth, size_t Height, size_t Width, size_t WeightsNSlices, std::vector< size_t > WeightsNRows, std::vector< size_t > WeightsNCols, size_t BiasesNSlices, std::vector< size_t > BiasesNRows, std::vector< size_t > BiasesNCols, size_t OutputNSlices, size_t OutputNRows, size_t OutputNCols, EInitialization Init)
	General Constructor with different weights dimension. More...

	VGeneralLayer (VGeneralLayer< Architecture_t > *layer)
	Copy the layer provided as a pointer. More...

	VGeneralLayer (const VGeneralLayer &)
	Copy Constructor. More...

virtual	~VGeneralLayer ()
	Virtual Destructor. More...

void	CopyBiases (const std::vector< Matrix_t > &otherBiases)
	Copies the biases provided as an input. More...

void	CopyWeights (const std::vector< Matrix_t > &otherWeights)
	Copies the weights provided as an input. More...

const std::vector< Matrix_t > &	GetActivationGradients () const

std::vector< Matrix_t > &	GetActivationGradients ()

Matrix_t &	GetActivationGradientsAt (size_t i)

const Matrix_t &	GetActivationGradientsAt (size_t i) const

size_t	GetBatchSize () const
	Getters. More...

const std::vector< Matrix_t > &	GetBiases () const

std::vector< Matrix_t > &	GetBiases ()

const Matrix_t &	GetBiasesAt (size_t i) const

Matrix_t &	GetBiasesAt (size_t i)

const std::vector< Matrix_t > &	GetBiasGradients () const

std::vector< Matrix_t > &	GetBiasGradients ()

const Matrix_t &	GetBiasGradientsAt (size_t i) const

Matrix_t &	GetBiasGradientsAt (size_t i)

size_t	GetDepth () const

size_t	GetHeight () const

EInitialization	GetInitialization () const

size_t	GetInputDepth () const

size_t	GetInputHeight () const

size_t	GetInputWidth () const

const std::vector< Matrix_t > &	GetOutput () const

std::vector< Matrix_t > &	GetOutput ()

Matrix_t &	GetOutputAt (size_t i)

const Matrix_t &	GetOutputAt (size_t i) const

const std::vector< Matrix_t > &	GetWeightGradients () const

std::vector< Matrix_t > &	GetWeightGradients ()

const Matrix_t &	GetWeightGradientsAt (size_t i) const

Matrix_t &	GetWeightGradientsAt (size_t i)

const std::vector< Matrix_t > &	GetWeights () const

std::vector< Matrix_t > &	GetWeights ()

const Matrix_t &	GetWeightsAt (size_t i) const

Matrix_t &	GetWeightsAt (size_t i)

size_t	GetWidth () const

void	Initialize ()
	Initialize the weights and biases according to the given initialization method. More...

bool	IsTraining () const

void	ReadMatrixXML (void node, const char name, Matrix_t &matrix)

void	SetBatchSize (size_t batchSize)
	Setters. More...

void	SetDepth (size_t depth)

void	SetHeight (size_t height)

void	SetInputDepth (size_t inputDepth)

void	SetInputHeight (size_t inputHeight)

void	SetInputWidth (size_t inputWidth)

void	SetIsTraining (bool isTraining)

void	SetWidth (size_t width)

void	Update (const Scalar_t learningRate)
	Updates the weights and biases, given the learning rate. More...

void	UpdateBiases (const std::vector< Matrix_t > &biasGradients, const Scalar_t learningRate)
	Updates the biases, given the gradients and the learning rate. More...

void	UpdateBiasGradients (const std::vector< Matrix_t > &biasGradients, const Scalar_t learningRate)
	Updates the bias gradients, given some other weight gradients and learning rate. More...

void	UpdateWeightGradients (const std::vector< Matrix_t > &weightGradients, const Scalar_t learningRate)
	Updates the weight gradients, given some other weight gradients and learning rate. More...

void	UpdateWeights (const std::vector< Matrix_t > &weightGradients, const Scalar_t learningRate)
	Updates the weights, given the gradients and the learning rate,. More...

void	WriteMatrixToXML (void node, const char name, const Matrix_t &matrix)

void	WriteTensorToXML (void node, const char name, const std::vector< Matrix_t > &tensor)
	helper functions for XML More...

Private Attributes
bool	fFlattening
	Whather the layer is doing flattening. More...

Additional Inherited Members
Protected Attributes inherited from TMVA::DNN::VGeneralLayer< Architecture_t >
std::vector< Matrix_t >	fActivationGradients
	Gradients w.r.t. the activations of this layer. More...

size_t	fBatchSize
	Batch size used for training and evaluation. More...

std::vector< Matrix_t >	fBiases
	The biases associated to the layer. More...

std::vector< Matrix_t >	fBiasGradients
	Gradients w.r.t. the bias values of the layer. More...

size_t	fDepth
	The depth of the layer. More...

size_t	fHeight
	The height of the layer. More...

EInitialization	fInit
	The initialization method. More...

size_t	fInputDepth
	The depth of the previous layer or input. More...

size_t	fInputHeight
	The height of the previous layer or input. More...

size_t	fInputWidth
	The width of the previous layer or input. More...

bool	fIsTraining
	Flag indicatig the mode. More...

std::vector< Matrix_t >	fOutput
	Activations of this layer. More...

std::vector< Matrix_t >	fWeightGradients
	Gradients w.r.t. the weights of the layer. More...

std::vector< Matrix_t >	fWeights
	The weights associated to the layer. More...

size_t	fWidth
	The width of this layer. More...

#include <TMVA/DNN/ReshapeLayer.h>

Inheritance diagram for TMVA::DNN::TReshapeLayer< Architecture_t >:

[legend]

Member Typedef Documentation

◆ Matrix_t

template<typename Architecture_t>

using TMVA::DNN::TReshapeLayer< Architecture_t >::Matrix_t = typename Architecture_t::Matrix_t

Definition at line 43 of file ReshapeLayer.h.

◆ Scalar_t

template<typename Architecture_t>

using TMVA::DNN::TReshapeLayer< Architecture_t >::Scalar_t = typename Architecture_t::Scalar_t

Definition at line 44 of file ReshapeLayer.h.

Constructor & Destructor Documentation

◆ TReshapeLayer() [1/3]

template<typename Architecture_t >

TMVA::DNN::TReshapeLayer< Architecture_t >::TReshapeLayer	(	size_t	BatchSize,
		size_t	InputDepth,
		size_t	InputHeight,
		size_t	InputWidth,
		size_t	Depth,
		size_t	Height,
		size_t	Width,
		size_t	OutputNSlices,
		size_t	OutputNRows,
		size_t	OutputNCols,
		bool	Flattening
	)

Constructor.

Definition at line 93 of file ReshapeLayer.h.

◆ TReshapeLayer() [2/3]

template<typename Architecture_t >

TMVA::DNN::TReshapeLayer< Architecture_t >::TReshapeLayer ( TReshapeLayer< Architecture_t > * layer )

Copy the reshape layer provided as a pointer.

Definition at line 111 of file ReshapeLayer.h.

◆ TReshapeLayer() [3/3]

template<typename Architecture_t >

TMVA::DNN::TReshapeLayer< Architecture_t >::TReshapeLayer ( const TReshapeLayer< Architecture_t > & layer )

Copy Constructor.

Definition at line 118 of file ReshapeLayer.h.

◆ ~TReshapeLayer()

template<typename Architecture_t >

TMVA::DNN::TReshapeLayer< Architecture_t >::~TReshapeLayer ( )

Destructor.

Definition at line 126 of file ReshapeLayer.h.

Member Function Documentation

◆ AddWeightsXMLTo()

template<typename Architecture_t >

auto TMVA::DNN::TReshapeLayer< Architecture_t >::AddWeightsXMLTo ( void * parent )

virtual

Writes the information and the weights about the layer in an XML node.

Implements TMVA::DNN::VGeneralLayer< Architecture_t >.

Definition at line 181 of file ReshapeLayer.h.

◆ Backward()

template<typename Architecture_t >

auto TMVA::DNN::TReshapeLayer< Architecture_t >::Backward	(	std::vector< Matrix_t > &	gradients_backward,
		const std::vector< Matrix_t > &	activations_backward,
		std::vector< Matrix_t > &	inp1,
		std::vector< Matrix_t > &	inp2
	)

virtual

Backpropagates the error.

Must only be called directly at the corresponding call to Forward(...).

Implements TMVA::DNN::VGeneralLayer< Architecture_t >.

Definition at line 149 of file ReshapeLayer.h.

◆ Forward()

template<typename Architecture_t >

auto TMVA::DNN::TReshapeLayer< Architecture_t >::Forward	(	std::vector< Matrix_t > &	input,
		bool	applyDropout = `false`
	)

virtual

The input must be in 3D tensor form with the different matrices corresponding to different events in the batch.

It transforms the input matrices.

Implements TMVA::DNN::VGeneralLayer< Architecture_t >.

Definition at line 133 of file ReshapeLayer.h.

◆ isFlattening()

template<typename Architecture_t>

bool TMVA::DNN::TReshapeLayer< Architecture_t >::isFlattening ( ) const

inline

TODO Add documentation Does this layer flatten? (necessary for DenseLayer) B x D1 x D2 –> 1 x B x (D1 * D2)

Definition at line 85 of file ReshapeLayer.h.

◆ Print()

template<typename Architecture_t >

auto TMVA::DNN::TReshapeLayer< Architecture_t >::Print ( ) const

virtual

Prints the info about the layer.

Implements TMVA::DNN::VGeneralLayer< Architecture_t >.

Definition at line 170 of file ReshapeLayer.h.

◆ ReadWeightsFromXML()

template<typename Architecture_t >

void TMVA::DNN::TReshapeLayer< Architecture_t >::ReadWeightsFromXML ( void * parent )

virtual

Read the information and the weights about the layer from XML node.

Implements TMVA::DNN::VGeneralLayer< Architecture_t >.

Definition at line 196 of file ReshapeLayer.h.

Member Data Documentation

◆ fFlattening

template<typename Architecture_t>

bool TMVA::DNN::TReshapeLayer< Architecture_t >::fFlattening

private

Whather the layer is doing flattening.

Definition at line 47 of file ReshapeLayer.h.

Libraries for TMVA::DNN::TReshapeLayer< Architecture_t >:

[legend]

template<typename Architecture_t> class TMVA::DNN::TReshapeLayer< Architecture_t >

Public Types

Public Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ Matrix_t

◆ Scalar_t

Constructor & Destructor Documentation

◆ TReshapeLayer() [1/3]

◆ TReshapeLayer() [2/3]

◆ TReshapeLayer() [3/3]

◆ ~TReshapeLayer()

Member Function Documentation

◆ AddWeightsXMLTo()

◆ Backward()

◆ Forward()

◆ isFlattening()

◆ Print()

◆ ReadWeightsFromXML()

Member Data Documentation

◆ fFlattening

template<typename Architecture_t>
class TMVA::DNN::TReshapeLayer< Architecture_t >