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Reference Guide
TMVA::DNN::VGeneralLayer< Architecture_t > Class Template Referenceabstract

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

Generic General Layer class.

This class represents the general class for all layers in the Deep Learning Module.

Definition at line 49 of file GeneralLayer.h.

Public Member Functions

 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...
 
virtual void AddWeightsXMLTo (void *parent)=0
 Writes the information and the weights about the layer in an XML node. More...
 
virtual void Backward (Tensor_t &gradients_backward, const Tensor_t &activations_backward)=0
 Backpropagates the error. 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...
 
virtual void Forward (Tensor_t &input, bool applyDropout=false)=0
 Computes activation of the layer for the given input. More...
 
const Tensor_tGetActivationGradients () const
 
Tensor_tGetActivationGradients ()
 
Matrix_t GetActivationGradientsAt (size_t i)
 
const Matrix_tGetActivationGradientsAt (size_t i) const
 
size_t GetBatchSize () const
 Getters. More...
 
const std::vector< Matrix_t > & GetBiases () const
 
std::vector< Matrix_t > & GetBiases ()
 
const Matrix_tGetBiasesAt (size_t i) const
 
Matrix_tGetBiasesAt (size_t i)
 
const std::vector< Matrix_t > & GetBiasGradients () const
 
std::vector< Matrix_t > & GetBiasGradients ()
 
const Matrix_tGetBiasGradientsAt (size_t i) const
 
Matrix_tGetBiasGradientsAt (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 Tensor_tGetOutput () const
 
Tensor_tGetOutput ()
 
Matrix_t GetOutputAt (size_t i)
 
const Matrix_tGetOutputAt (size_t i) const
 
const std::vector< Matrix_t > & GetWeightGradients () const
 
std::vector< Matrix_t > & GetWeightGradients ()
 
const Matrix_tGetWeightGradientsAt (size_t i) const
 
Matrix_tGetWeightGradientsAt (size_t i)
 
const std::vector< Matrix_t > & GetWeights () const
 
std::vector< Matrix_t > & GetWeights ()
 
const Matrix_tGetWeightsAt (size_t i) const
 
Matrix_tGetWeightsAt (size_t i)
 
size_t GetWidth () const
 
virtual void Initialize ()
 Initialize the weights and biases according to the given initialization method. More...
 
bool IsTraining () const
 
virtual void Print () const =0
 Prints the info about the layer. More...
 
void ReadMatrixXML (void *node, const char *name, Matrix_t &matrix)
 
virtual void ReadWeightsFromXML (void *parent)=0
 Read the information and the weights about the layer from XML node. More...
 
virtual void ResetTraining ()
 Reset some training flags after a loop on all batches Some layer (e.g. More...
 
void SetBatchSize (size_t batchSize)
 Setters. More...
 
void SetDepth (size_t depth)
 
virtual void SetDropoutProbability (Scalar_t)
 Set Dropout probability. More...
 
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...
 

Protected Attributes

Tensor_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_tfBiases
 The biases associated to the layer. More...
 
std::vector< Matrix_tfBiasGradients
 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 indicating the mode. More...
 
Tensor_t fOutput
 Activations of this layer. More...
 
std::vector< Matrix_tfWeightGradients
 Gradients w.r.t. the weights of the layer. More...
 
std::vector< Matrix_tfWeights
 The weights associated to the layer. More...
 
size_t fWidth
 The width of this layer. More...
 

Private Types

using Matrix_t = typename Architecture_t::Matrix_t
 
using Scalar_t = typename Architecture_t::Scalar_t
 
using Tensor_t = typename Architecture_t::Tensor_t
 

#include <TMVA/DNN/GeneralLayer.h>

Inheritance diagram for TMVA::DNN::VGeneralLayer< Architecture_t >:
[legend]

Member Typedef Documentation

◆ Matrix_t

template<typename Architecture_t>
using TMVA::DNN::VGeneralLayer< Architecture_t >::Matrix_t = typename Architecture_t::Matrix_t
private

Definition at line 52 of file GeneralLayer.h.

◆ Scalar_t

template<typename Architecture_t>
using TMVA::DNN::VGeneralLayer< Architecture_t >::Scalar_t = typename Architecture_t::Scalar_t
private

Definition at line 53 of file GeneralLayer.h.

◆ Tensor_t

template<typename Architecture_t>
using TMVA::DNN::VGeneralLayer< Architecture_t >::Tensor_t = typename Architecture_t::Tensor_t
private

Definition at line 51 of file GeneralLayer.h.

Constructor & Destructor Documentation

◆ VGeneralLayer() [1/4]

template<typename Architecture_t >
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.

Definition at line 225 of file GeneralLayer.h.

◆ VGeneralLayer() [2/4]

template<typename Architecture_t >
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,
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.

Definition at line 250 of file GeneralLayer.h.

◆ VGeneralLayer() [3/4]

template<typename Architecture_t >
TMVA::DNN::VGeneralLayer< Architecture_t >::VGeneralLayer ( VGeneralLayer< Architecture_t > *  layer)

Copy the layer provided as a pointer.

Definition at line 281 of file GeneralLayer.h.

◆ VGeneralLayer() [4/4]

template<typename Architecture_t >
TMVA::DNN::VGeneralLayer< Architecture_t >::VGeneralLayer ( const VGeneralLayer< Architecture_t > &  layer)

Copy Constructor.

Definition at line 322 of file GeneralLayer.h.

◆ ~VGeneralLayer()

template<typename Architecture_t >
TMVA::DNN::VGeneralLayer< Architecture_t >::~VGeneralLayer ( )
virtual

Virtual Destructor.

Definition at line 374 of file GeneralLayer.h.

Member Function Documentation

◆ AddWeightsXMLTo()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::AddWeightsXMLTo ( void parent)
pure virtual

◆ Backward()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::Backward ( Tensor_t gradients_backward,
const Tensor_t activations_backward 
)
pure virtual

◆ CopyBiases()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::CopyBiases ( const std::vector< Matrix_t > &  otherBiases)

Copies the biases provided as an input.

Definition at line 454 of file GeneralLayer.h.

◆ CopyWeights()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::CopyWeights ( const std::vector< Matrix_t > &  otherWeights)

Copies the weights provided as an input.

Definition at line 444 of file GeneralLayer.h.

◆ Forward()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::Forward ( Tensor_t input,
bool  applyDropout = false 
)
pure virtual

Computes activation of the layer for the given input.

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

Implemented in TMVA::DNN::CNN::TConvLayer< Architecture_t >, TMVA::DNN::CNN::TMaxPoolLayer< Architecture_t >, TMVA::DNN::TBatchNormLayer< Architecture_t >, TMVA::DNN::RNN::TBasicRNNLayer< Architecture_t >, TMVA::DNN::TDenseLayer< Architecture_t >, and TMVA::DNN::TReshapeLayer< Architecture_t >.

◆ GetActivationGradients() [1/2]

template<typename Architecture_t>
const Tensor_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetActivationGradients ( ) const
inline

Definition at line 190 of file GeneralLayer.h.

◆ GetActivationGradients() [2/2]

template<typename Architecture_t>
Tensor_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetActivationGradients ( )
inline

Definition at line 191 of file GeneralLayer.h.

◆ GetActivationGradientsAt() [1/2]

template<typename Architecture_t>
Matrix_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetActivationGradientsAt ( size_t  i)
inline

Definition at line 196 of file GeneralLayer.h.

◆ GetActivationGradientsAt() [2/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetActivationGradientsAt ( size_t  i) const
inline

Definition at line 197 of file GeneralLayer.h.

◆ GetBatchSize()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetBatchSize ( ) const
inline

Getters.

Definition at line 154 of file GeneralLayer.h.

◆ GetBiases() [1/2]

template<typename Architecture_t>
const std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiases ( ) const
inline

Definition at line 169 of file GeneralLayer.h.

◆ GetBiases() [2/2]

template<typename Architecture_t>
std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiases ( )
inline

Definition at line 170 of file GeneralLayer.h.

◆ GetBiasesAt() [1/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasesAt ( size_t  i) const
inline

Definition at line 172 of file GeneralLayer.h.

◆ GetBiasesAt() [2/2]

template<typename Architecture_t>
Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasesAt ( size_t  i)
inline

Definition at line 173 of file GeneralLayer.h.

◆ GetBiasGradients() [1/2]

template<typename Architecture_t>
const std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasGradients ( ) const
inline

Definition at line 181 of file GeneralLayer.h.

◆ GetBiasGradients() [2/2]

template<typename Architecture_t>
std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasGradients ( )
inline

Definition at line 182 of file GeneralLayer.h.

◆ GetBiasGradientsAt() [1/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasGradientsAt ( size_t  i) const
inline

Definition at line 184 of file GeneralLayer.h.

◆ GetBiasGradientsAt() [2/2]

template<typename Architecture_t>
Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetBiasGradientsAt ( size_t  i)
inline

Definition at line 185 of file GeneralLayer.h.

◆ GetDepth()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetDepth ( ) const
inline

Definition at line 158 of file GeneralLayer.h.

◆ GetHeight()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetHeight ( ) const
inline

Definition at line 159 of file GeneralLayer.h.

◆ GetInitialization()

template<typename Architecture_t>
EInitialization TMVA::DNN::VGeneralLayer< Architecture_t >::GetInitialization ( ) const
inline

Definition at line 200 of file GeneralLayer.h.

◆ GetInputDepth()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetInputDepth ( ) const
inline

Definition at line 155 of file GeneralLayer.h.

◆ GetInputHeight()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetInputHeight ( ) const
inline

Definition at line 156 of file GeneralLayer.h.

◆ GetInputWidth()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetInputWidth ( ) const
inline

Definition at line 157 of file GeneralLayer.h.

◆ GetOutput() [1/2]

template<typename Architecture_t>
const Tensor_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetOutput ( ) const
inline

Definition at line 187 of file GeneralLayer.h.

◆ GetOutput() [2/2]

template<typename Architecture_t>
Tensor_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetOutput ( )
inline

Definition at line 188 of file GeneralLayer.h.

◆ GetOutputAt() [1/2]

template<typename Architecture_t>
Matrix_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetOutputAt ( size_t  i)
inline

Definition at line 193 of file GeneralLayer.h.

◆ GetOutputAt() [2/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetOutputAt ( size_t  i) const
inline

Definition at line 194 of file GeneralLayer.h.

◆ GetWeightGradients() [1/2]

template<typename Architecture_t>
const std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightGradients ( ) const
inline

Definition at line 175 of file GeneralLayer.h.

◆ GetWeightGradients() [2/2]

template<typename Architecture_t>
std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightGradients ( )
inline

Definition at line 176 of file GeneralLayer.h.

◆ GetWeightGradientsAt() [1/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightGradientsAt ( size_t  i) const
inline

Definition at line 178 of file GeneralLayer.h.

◆ GetWeightGradientsAt() [2/2]

template<typename Architecture_t>
Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightGradientsAt ( size_t  i)
inline

Definition at line 179 of file GeneralLayer.h.

◆ GetWeights() [1/2]

template<typename Architecture_t>
const std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeights ( ) const
inline

Definition at line 163 of file GeneralLayer.h.

◆ GetWeights() [2/2]

template<typename Architecture_t>
std::vector<Matrix_t>& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeights ( )
inline

Definition at line 164 of file GeneralLayer.h.

◆ GetWeightsAt() [1/2]

template<typename Architecture_t>
const Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightsAt ( size_t  i) const
inline

Definition at line 166 of file GeneralLayer.h.

◆ GetWeightsAt() [2/2]

template<typename Architecture_t>
Matrix_t& TMVA::DNN::VGeneralLayer< Architecture_t >::GetWeightsAt ( size_t  i)
inline

Definition at line 167 of file GeneralLayer.h.

◆ GetWidth()

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::GetWidth ( ) const
inline

Definition at line 160 of file GeneralLayer.h.

◆ Initialize()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::Initialize ( )
virtual

Initialize the weights and biases according to the given initialization method.

Reimplemented in TMVA::DNN::TBatchNormLayer< Architecture_t >.

Definition at line 381 of file GeneralLayer.h.

◆ IsTraining()

template<typename Architecture_t>
bool TMVA::DNN::VGeneralLayer< Architecture_t >::IsTraining ( ) const
inline

Definition at line 161 of file GeneralLayer.h.

◆ Print()

◆ ReadMatrixXML()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::ReadMatrixXML ( void node,
const char *  name,
Matrix_t matrix 
)

Definition at line 511 of file GeneralLayer.h.

◆ ReadWeightsFromXML()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::ReadWeightsFromXML ( void parent)
pure virtual

◆ ResetTraining()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::ResetTraining ( )
inlinevirtual

Reset some training flags after a loop on all batches Some layer (e.g.

batchnormalization) might need to implement the function in case some operations are needed after looping an all batches

Reimplemented in TMVA::DNN::TBatchNormLayer< Architecture_t >.

Definition at line 118 of file GeneralLayer.h.

◆ SetBatchSize()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetBatchSize ( size_t  batchSize)
inline

Setters.

Definition at line 203 of file GeneralLayer.h.

◆ SetDepth()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetDepth ( size_t  depth)
inline

Definition at line 207 of file GeneralLayer.h.

◆ SetDropoutProbability()

template<typename Architecture_t>
virtual void TMVA::DNN::VGeneralLayer< Architecture_t >::SetDropoutProbability ( Scalar_t  )
inlinevirtual

Set Dropout probability.

Reimplemented for layesrs supporting droput

Reimplemented in TMVA::DNN::TDenseLayer< Architecture_t >.

Definition at line 151 of file GeneralLayer.h.

◆ SetHeight()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetHeight ( size_t  height)
inline

Definition at line 208 of file GeneralLayer.h.

◆ SetInputDepth()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetInputDepth ( size_t  inputDepth)
inline

Definition at line 204 of file GeneralLayer.h.

◆ SetInputHeight()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetInputHeight ( size_t  inputHeight)
inline

Definition at line 205 of file GeneralLayer.h.

◆ SetInputWidth()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetInputWidth ( size_t  inputWidth)
inline

Definition at line 206 of file GeneralLayer.h.

◆ SetIsTraining()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetIsTraining ( bool  isTraining)
inline

Definition at line 210 of file GeneralLayer.h.

◆ SetWidth()

template<typename Architecture_t>
void TMVA::DNN::VGeneralLayer< Architecture_t >::SetWidth ( size_t  width)
inline

Definition at line 209 of file GeneralLayer.h.

◆ Update()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::Update ( const Scalar_t  learningRate)

Updates the weights and biases, given the learning rate.

Definition at line 396 of file GeneralLayer.h.

◆ UpdateBiases()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::UpdateBiases ( const std::vector< Matrix_t > &  biasGradients,
const Scalar_t  learningRate 
)

Updates the biases, given the gradients and the learning rate.

Definition at line 414 of file GeneralLayer.h.

◆ UpdateBiasGradients()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::UpdateBiasGradients ( const std::vector< Matrix_t > &  biasGradients,
const Scalar_t  learningRate 
)

Updates the bias gradients, given some other weight gradients and learning rate.

Definition at line 434 of file GeneralLayer.h.

◆ UpdateWeightGradients()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::UpdateWeightGradients ( const std::vector< Matrix_t > &  weightGradients,
const Scalar_t  learningRate 
)

Updates the weight gradients, given some other weight gradients and learning rate.

Definition at line 424 of file GeneralLayer.h.

◆ UpdateWeights()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::UpdateWeights ( const std::vector< Matrix_t > &  weightGradients,
const Scalar_t  learningRate 
)

Updates the weights, given the gradients and the learning rate,.

Definition at line 404 of file GeneralLayer.h.

◆ WriteMatrixToXML()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::WriteMatrixToXML ( void node,
const char *  name,
const Matrix_t matrix 
)

Definition at line 488 of file GeneralLayer.h.

◆ WriteTensorToXML()

template<typename Architecture_t >
auto TMVA::DNN::VGeneralLayer< Architecture_t >::WriteTensorToXML ( void node,
const char *  name,
const std::vector< Matrix_t > &  tensor 
)

helper functions for XML

Definition at line 464 of file GeneralLayer.h.

Member Data Documentation

◆ fActivationGradients

template<typename Architecture_t>
Tensor_t TMVA::DNN::VGeneralLayer< Architecture_t >::fActivationGradients
protected

Gradients w.r.t. the activations of this layer.

Definition at line 75 of file GeneralLayer.h.

◆ fBatchSize

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fBatchSize
protected

Batch size used for training and evaluation.

Definition at line 56 of file GeneralLayer.h.

◆ fBiases

template<typename Architecture_t>
std::vector<Matrix_t> TMVA::DNN::VGeneralLayer< Architecture_t >::fBiases
protected

The biases associated to the layer.

Definition at line 69 of file GeneralLayer.h.

◆ fBiasGradients

template<typename Architecture_t>
std::vector<Matrix_t> TMVA::DNN::VGeneralLayer< Architecture_t >::fBiasGradients
protected

Gradients w.r.t. the bias values of the layer.

Definition at line 72 of file GeneralLayer.h.

◆ fDepth

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fDepth
protected

The depth of the layer.

Definition at line 62 of file GeneralLayer.h.

◆ fHeight

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fHeight
protected

The height of the layer.

Definition at line 63 of file GeneralLayer.h.

◆ fInit

template<typename Architecture_t>
EInitialization TMVA::DNN::VGeneralLayer< Architecture_t >::fInit
protected

The initialization method.

Definition at line 77 of file GeneralLayer.h.

◆ fInputDepth

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fInputDepth
protected

The depth of the previous layer or input.

Definition at line 58 of file GeneralLayer.h.

◆ fInputHeight

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fInputHeight
protected

The height of the previous layer or input.

Definition at line 59 of file GeneralLayer.h.

◆ fInputWidth

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fInputWidth
protected

The width of the previous layer or input.

Definition at line 60 of file GeneralLayer.h.

◆ fIsTraining

template<typename Architecture_t>
bool TMVA::DNN::VGeneralLayer< Architecture_t >::fIsTraining
protected

Flag indicating the mode.

Definition at line 66 of file GeneralLayer.h.

◆ fOutput

template<typename Architecture_t>
Tensor_t TMVA::DNN::VGeneralLayer< Architecture_t >::fOutput
protected

Activations of this layer.

Definition at line 74 of file GeneralLayer.h.

◆ fWeightGradients

template<typename Architecture_t>
std::vector<Matrix_t> TMVA::DNN::VGeneralLayer< Architecture_t >::fWeightGradients
protected

Gradients w.r.t. the weights of the layer.

Definition at line 71 of file GeneralLayer.h.

◆ fWeights

template<typename Architecture_t>
std::vector<Matrix_t> TMVA::DNN::VGeneralLayer< Architecture_t >::fWeights
protected

The weights associated to the layer.

Definition at line 68 of file GeneralLayer.h.

◆ fWidth

template<typename Architecture_t>
size_t TMVA::DNN::VGeneralLayer< Architecture_t >::fWidth
protected

The width of this layer.

Definition at line 64 of file GeneralLayer.h.


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