TMVA::DNN::TTensorBatch< Architecture_t > Class Template Reference

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

TTensorBatch.

Class representing training batches consisting of a vector of matrices as input data and a matrix of output data. The input and output data can be accessed using the GetInput() and GetOutput() member functions.

Template Parameters

Architecture_t

The underlying architecture.

Definition at line 57 of file TensorDataLoader.h.

Public Types
using	Matrix_t = typename Architecture_t::Matrix_t

Public Member Functions
	TTensorBatch (std::vector< Matrix_t > &, Matrix_t &, Matrix_t &)
	TTensorBatch (const TTensorBatch &)=default
	TTensorBatch (TTensorBatch &&)=default
std::vector< Matrix_t > &	GetInput ()
	Return the tensor representing the input data. More...
Matrix_t &	GetOutput ()
	Return the matrix representing the output data. More...
Matrix_t &	GetWeights ()
	Return the matrix holding the event weights. More...
TTensorBatch &	operator= (const TTensorBatch &)=default
TTensorBatch &	operator= (TTensorBatch &&)=default

Private Attributes
std::vector< Matrix_t >	fInputTensor
	The input tensor batch, one matrix one input. More...
Matrix_t	fOutputMatrix
	The output matrix representing the ground truth. More...
Matrix_t	fWeightMatrix

#include <TMVA/DNN/TensorDataLoader.h>

Member Typedef Documentation

Matrix_t

template<typename Architecture_t>

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

Definition at line 59 of file TensorDataLoader.h.

Constructor & Destructor Documentation

TTensorBatch() [1/3]

template<typename Architecture_t >

TMVA::DNN::TTensorBatch< Architecture_t >::TTensorBatch	(	std::vector< Matrix_t > &	inputTensor,
		Matrix_t &	outputMatrix,
		Matrix_t &	weightMatrix
	)

Definition at line 192 of file TensorDataLoader.h.

TTensorBatch() [2/3]

template<typename Architecture_t>

TMVA::DNN::TTensorBatch< Architecture_t >::TTensorBatch ( const TTensorBatch< Architecture_t > &  )

default

TTensorBatch() [3/3]

template<typename Architecture_t>

TMVA::DNN::TTensorBatch< Architecture_t >::TTensorBatch ( TTensorBatch< Architecture_t > &&  )

default

Member Function Documentation

GetInput()

template<typename Architecture_t>

std::vector<Matrix_t>& TMVA::DNN::TTensorBatch< Architecture_t >::GetInput ( )

inline

Return the tensor representing the input data.

Definition at line 74 of file TensorDataLoader.h.

GetOutput()

template<typename Architecture_t>

Matrix_t& TMVA::DNN::TTensorBatch< Architecture_t >::GetOutput ( )

inline

Return the matrix representing the output data.

Definition at line 76 of file TensorDataLoader.h.

GetWeights()

template<typename Architecture_t>

Matrix_t& TMVA::DNN::TTensorBatch< Architecture_t >::GetWeights ( )

inline

Return the matrix holding the event weights.

Definition at line 78 of file TensorDataLoader.h.

operator=() [1/2]

template<typename Architecture_t>

TTensorBatch& TMVA::DNN::TTensorBatch< Architecture_t >::operator= ( const TTensorBatch< Architecture_t > &  )

default

operator=() [2/2]

template<typename Architecture_t>

TTensorBatch& TMVA::DNN::TTensorBatch< Architecture_t >::operator= ( TTensorBatch< Architecture_t > &&  )

default

Member Data Documentation

fInputTensor

template<typename Architecture_t>

std::vector<Matrix_t> TMVA::DNN::TTensorBatch< Architecture_t >::fInputTensor

private

The input tensor batch, one matrix one input.

Definition at line 62 of file TensorDataLoader.h.

fOutputMatrix

template<typename Architecture_t>

Matrix_t TMVA::DNN::TTensorBatch< Architecture_t >::fOutputMatrix

private

The output matrix representing the ground truth.

Definition at line 63 of file TensorDataLoader.h.

fWeightMatrix

template<typename Architecture_t>

Matrix_t TMVA::DNN::TTensorBatch< Architecture_t >::fWeightMatrix

private

Definition at line 64 of file TensorDataLoader.h.

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

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