TMVA::DNN::TDataLoader< AData, TReference< AReal > > Class Template Reference

template<typename AData, typename AReal>
class TMVA::DNN::TDataLoader< AData, TReference< AReal > >

Definition at line 33 of file DataLoader.h.

Public Member Functions
	TDataLoader (const AData &data, size_t nSamples, size_t batchSize, size_t nInputFeatures, size_t nOutputFeatures, size_t nthreads=1)
	TDataLoader (const TDataLoader &)=default
	TDataLoader (TDataLoader &&)=default
BatchIterator_t	begin ()
void	CopyInput (TMatrixT< AReal > &matrix, IndexIterator_t begin)
	Copy input matrix into the given host buffer.
void	CopyOutput (TMatrixT< AReal > &matrix, IndexIterator_t begin)
	Copy output matrix into the given host buffer.
void	CopyWeights (TMatrixT< AReal > &matrix, IndexIterator_t begin)
	Copy weight matrix into the given host buffer.
BatchIterator_t	end ()
TBatch< TReference< AReal > >	GetBatch ()
	Return the next batch from the training set.
TDataLoader &	operator= (const TDataLoader &)=default
TDataLoader &	operator= (TDataLoader &&)=default
void	Shuffle ()
	Shuffle the order of the samples in the batch.

Private Types
using	BatchIterator_t = TBatchIterator< AData, TReference< AReal > >

Private Attributes
size_t	fBatchIndex
size_t	fBatchSize
const AData &	fData
size_t	fNInputFeatures
size_t	fNOutputFeatures
size_t	fNSamples
std::vector< size_t >	fSampleIndices
	Ordering of the samples in the epoch.
TMatrixT< AReal >	inputMatrix
TMatrixT< AReal >	outputMatrix
TMatrixT< AReal >	weightMatrix

#include <TMVA/DNN/Architectures/Reference/DataLoader.h>

Member Typedef Documentation

BatchIterator_t

template<typename AData , typename AReal >

using TMVA::DNN::TDataLoader< AData, TReference< AReal > >::BatchIterator_t = TBatchIterator<AData, TReference<AReal> >

private

Definition at line 35 of file DataLoader.h.

Constructor & Destructor Documentation

TDataLoader() [1/3]

template<typename AData , typename AReal >

TMVA::DNN::TDataLoader< AData, TReference< AReal > >::TDataLoader	(	const AData &	data,
		size_t	nSamples,
		size_t	batchSize,
		size_t	nInputFeatures,
		size_t	nOutputFeatures,
		size_t	nthreads = 1
	)

Definition at line 84 of file DataLoader.h.

TDataLoader() [2/3]

template<typename AData , typename AReal >

TMVA::DNN::TDataLoader< AData, TReference< AReal > >::TDataLoader ( const TDataLoader< AData, TReference< AReal > > &  )

default

TDataLoader() [3/3]

template<typename AData , typename AReal >

TMVA::DNN::TDataLoader< AData, TReference< AReal > >::TDataLoader ( TDataLoader< AData, TReference< AReal > > &&  )

default

Member Function Documentation

begin()

template<typename AData , typename AReal >

BatchIterator_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::begin ( )

inline

Definition at line 69 of file DataLoader.h.

CopyInput()

template<typename AData , typename AReal >

void TMVA::DNN::TDataLoader< AData, TReference< AReal > >::CopyInput	(	TMatrixT< AReal > &	matrix,
		IndexIterator_t	begin
	)

Copy input matrix into the given host buffer.

Function to be specialized by the architecture-specific backend.

CopyOutput()

template<typename AData , typename AReal >

void TMVA::DNN::TDataLoader< AData, TReference< AReal > >::CopyOutput	(	TMatrixT< AReal > &	matrix,
		IndexIterator_t	begin
	)

Copy output matrix into the given host buffer.

Function to be specialized by the architecture-specific backend.

CopyWeights()

template<typename AData , typename AReal >

void TMVA::DNN::TDataLoader< AData, TReference< AReal > >::CopyWeights	(	TMatrixT< AReal > &	matrix,
		IndexIterator_t	begin
	)

Copy weight matrix into the given host buffer.

Function to be specialized by the architecture-specific backend.

end()

template<typename AData , typename AReal >

BatchIterator_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::end ( )

inline

Definition at line 70 of file DataLoader.h.

GetBatch()

template<typename AData , typename AReal >

TBatch< TReference< AReal > > TMVA::DNN::TDataLoader< AData, TReference< AReal > >::GetBatch

Return the next batch from the training set.

The TDataLoader object keeps an internal counter that cycles over the batches in the training set.

Definition at line 97 of file DataLoader.h.

operator=() [1/2]

template<typename AData , typename AReal >

TDataLoader & TMVA::DNN::TDataLoader< AData, TReference< AReal > >::operator= ( const TDataLoader< AData, TReference< AReal > > &  )

default

operator=() [2/2]

template<typename AData , typename AReal >

TDataLoader & TMVA::DNN::TDataLoader< AData, TReference< AReal > >::operator= ( TDataLoader< AData, TReference< AReal > > &&  )

default

Shuffle()

template<typename AData , typename AReal >

void TMVA::DNN::TDataLoader< AData, TReference< AReal > >::Shuffle

Shuffle the order of the samples in the batch.

The shuffling is indirect, i.e. only the indices are shuffled. No input data is moved by this routine.

Definition at line 115 of file DataLoader.h.

Member Data Documentation

fBatchIndex

template<typename AData , typename AReal >

size_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fBatchIndex

private

Definition at line 43 of file DataLoader.h.

fBatchSize

template<typename AData , typename AReal >

size_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fBatchSize

private

Definition at line 40 of file DataLoader.h.

fData

template<typename AData , typename AReal >

const AData& TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fData

private

Definition at line 37 of file DataLoader.h.

fNInputFeatures

template<typename AData , typename AReal >

size_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fNInputFeatures

private

Definition at line 41 of file DataLoader.h.

fNOutputFeatures

template<typename AData , typename AReal >

size_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fNOutputFeatures

private

Definition at line 42 of file DataLoader.h.

fNSamples

template<typename AData , typename AReal >

size_t TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fNSamples

private

Definition at line 39 of file DataLoader.h.

fSampleIndices

template<typename AData , typename AReal >

std::vector<size_t> TMVA::DNN::TDataLoader< AData, TReference< AReal > >::fSampleIndices

private

Ordering of the samples in the epoch.

Definition at line 49 of file DataLoader.h.

inputMatrix

template<typename AData , typename AReal >

TMatrixT<AReal> TMVA::DNN::TDataLoader< AData, TReference< AReal > >::inputMatrix

private

Definition at line 45 of file DataLoader.h.

outputMatrix

template<typename AData , typename AReal >

TMatrixT<AReal> TMVA::DNN::TDataLoader< AData, TReference< AReal > >::outputMatrix

private

Definition at line 46 of file DataLoader.h.

weightMatrix

template<typename AData , typename AReal >

TMatrixT<AReal> TMVA::DNN::TDataLoader< AData, TReference< AReal > >::weightMatrix

private

Definition at line 47 of file DataLoader.h.