#include <CscNeuralNetworkBuilderTensorFlow.h>

Public Member Functions
	CscNeuralNetworkBuilderTensorFlow (CscNeuralNetwork::TrainingHyperparameters trainingHypeparametersInit, CscNeuralNetwork::NeuralNetworkHyperparameters nnHyperparametersInit, float weightsLoadedFromModelInit=nullptr, float biasesLoadedFromModelInit=nullptr)

virtual	~CscNeuralNetworkBuilderTensorFlow ()

TF_Graph *	getGraph () const

TF_Status *	getStatus () const

TF_Operation *	getGraphOperation () const

TF_Output *	getTrainableVars ()

TF_Output *	getPartialDerivatives ()

vector< const char * > &	getAssignationsInitNames ()

vector< const char * > &	getAssignationsBestValuesNames ()

vector< const char * > &	getAssignationsInitAdagradNames ()

vector< const char * > &	getAssignationsInitAdadeltaGradientNames ()

vector< const char * > &	getAssignationsInitAdadeltaUpdateNames ()

vector< const char * > &	getAssignationsInitAdamFirstMomentNames ()

vector< const char * > &	getAssignationsInitAdamSecondMomentNames ()

vector< const char * > &	getVarNames ()

vector< const char * > &	getVarBestValueNames ()

vector< const char * > &	getVarAdagradValueNames ()

vector< const char * > &	getVarAdadeltaGradientValueNames ()

vector< const char * > &	getVarAdadeltaUpdateValueNames ()

vector< const char * > &	getVarAdamFirstMomentValueNames ()

vector< const char * > &	getVarAdamSecondMomentValueNames ()

vector< const char * > &	getUpdateNames ()

void	setWeightsLoadedFromModel (float **weightsLoadedFromModelUpdate)

void	setBiasesLoadedFromModel (float **biasesLoadedFromModelUpdate)

void	allocatePartialDerivatives (int nbOperations)

void	allocateAndInitializeTrainableVars (int nbOperations)

void	allocateAndInitializeAccumulators (int nbOperations)

void	allocateAndInitializeGradientAccumulators (int nbOperations)

void	allocateAndInitializeUpdateAccumulators (int nbOperations)

void	allocateAndInitializeMFirstMomentEstimateOutputs (int nbOperations)

void	allocateAndInitializeVSecondMomentEstimateOutputs (int nbOperations)

void	createVariableInGraph (const int64_t dims, int num_dims, float data, int num_data, char *name)

void	createConstantVariableAndAssignOperation (const char namePrefix, const char variablePrefix, const char assignPrefix, const char name, int numDims, const int64_t dims, int numData, std::vector< const char > &valueNames, std::vector< const char * > &assignNames, float *constantValue)

TF_Operation *	createOperationFromTwoOperations (TF_Operation a, TF_Operation b, const char operationString, const char operationName)

TF_Operation *	createOperationFromSingleOperation (TF_Operation operation, const char operationString, const char *operationName)

TF_Operation *	createConstOperation (TF_Tensor tensor, char name, TF_DataType dataType)

TF_Operation *	createVariableV2Operation (const int64_t dims, int numDims, const char name, TF_DataType dataType)

TF_Operation *	createMatriceMultiplicationOperation (TF_Operation a, TF_Operation b)

TF_Operation *	createAdditionOperation (TF_Operation a, TF_Operation b)

TF_Operation *	createActivationFunctionOperation (TF_Operation *input_op, CscActivationFunction activFuncName, int nbActivationFunctionOperation)

TF_Operation *	createPlaceHolderOperation (int numFeatures, const char *name)

TF_Operation *	createDenseLayerOperation (TF_Operation input, const char weightVarName, const char *biasVarName, CscActivationFunction activFuncName, int denseLayerId)

TF_Operation *	createInputLayerOperation (int numFeatures)

TF_Operation *	createDenseLayer (int hiddenLayerId, int nbNeuronsPreviousLayer, int nbNeuronsLayer, TF_Operation *previousLayer, CscActivationFunction fctActivationName, CscInitializationWeightsStrategy initilizationStrategy, CscInitializationBiasStrategy initializationBiasStrategy)

TF_Operation *	createOutputLayerOperation (int nbNeuronsPreviousLayer, TF_Operation *previousLayer, CscActivationFunction fctActivationName, CscLossFunction lossFunction, CscInitializationWeightsStrategy initializationStrategy, CscInitializationBiasStrategy initializationBiasStrategy, bool withCostFunction)

TF_Operation *	createTargetPlaceHoldersOperation ()

void	createNeuralNetwork (CscActivationFunction hiddenLayersFunctionActivation, CscActivationFunction outputLayerFunctionActivation, CscLossFunction lossFunction, CscInitializationWeightsStrategy initilizationStrategy, CscInitializationBiasStrategy initializationBiasStrategy, bool withCostFunction)
	Constructs the neural network by setting up the input layer, hidden layers, and the output layer using the provided activation functions, weight and bias initialization strategies, and loss function. More...

TF_Operation *	createCostFunctionOperation (TF_Operation *predictions, CscLossFunction lossFunction)

TF_Operation *	createMeanSquaredErrorCostFunctionOperation (TF_Operation *predictions)

TF_Operation *	createMeanAbsoluteErrorCostFunctionOperation (TF_Operation *predictions)

TF_Operation *	createUpdateOperation (CscOptimizer optimizer, int nthVariable)

TF_Operation *	createGradientDescentUpdateOperation (TF_Output variable, TF_Output gradient)

TF_Operation *	createAdagradUpdateOperation (TF_Output variable, TF_Output gradient, TF_Output accumulation)

TF_Operation *	createAdadeltaUpdateOperation (TF_Output variable, TF_Output gradient, TF_Output accumGrad, TF_Output accumUpdate)

TF_Operation *	createAdamUpdateOperation (TF_Output variable, TF_Output gradient, TF_Output mFirstMomentEstimate, TF_Output vSecondMomentEstimate)

void	createAllUpdtateOperations (CscOptimizer optimizer)

Static Public Member Functions
static int	printTensorShapeOfOperationAndReturnNumberNeurons (TF_Graph graph, const char operationName)

Constructor & Destructor Documentation

◆ CscNeuralNetworkBuilderTensorFlow()

conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::CscNeuralNetworkBuilderTensorFlow	(	CscNeuralNetwork::TrainingHyperparameters *	trainingHypeparametersInit,
		CscNeuralNetwork::NeuralNetworkHyperparameters *	nnHyperparametersInit,
		float **	weightsLoadedFromModelInit = `nullptr`,
		float **	biasesLoadedFromModelInit = `nullptr`
	)

◆ ~CscNeuralNetworkBuilderTensorFlow()

conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::~CscNeuralNetworkBuilderTensorFlow ( )

virtual

Member Function Documentation

◆ allocateAndInitializeAccumulators()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeAccumulators ( int nbOperations )

◆ allocateAndInitializeGradientAccumulators()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeGradientAccumulators ( int nbOperations )

◆ allocateAndInitializeMFirstMomentEstimateOutputs()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeMFirstMomentEstimateOutputs ( int nbOperations )

◆ allocateAndInitializeTrainableVars()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeTrainableVars ( int nbOperations )

◆ allocateAndInitializeUpdateAccumulators()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeUpdateAccumulators ( int nbOperations )

◆ allocateAndInitializeVSecondMomentEstimateOutputs()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocateAndInitializeVSecondMomentEstimateOutputs ( int nbOperations )

◆ allocatePartialDerivatives()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::allocatePartialDerivatives ( int nbOperations )

◆ createActivationFunctionOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createActivationFunctionOperation	(	TF_Operation *	input_op,
		CscActivationFunction	activFuncName,
		int	nbActivationFunctionOperation
	)

◆ createAdadeltaUpdateOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createAdadeltaUpdateOperation	(	TF_Output	variable,
		TF_Output	gradient,
		TF_Output	accumGrad,
		TF_Output	accumUpdate
	)

◆ createAdagradUpdateOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createAdagradUpdateOperation	(	TF_Output	variable,
		TF_Output	gradient,
		TF_Output	accumulation
	)

◆ createAdamUpdateOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createAdamUpdateOperation	(	TF_Output	variable,
		TF_Output	gradient,
		TF_Output	mFirstMomentEstimate,
		TF_Output	vSecondMomentEstimate
	)

◆ createAdditionOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createAdditionOperation	(	TF_Operation *	a,
		TF_Operation *	b
	)

◆ createAllUpdtateOperations()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createAllUpdtateOperations ( CscOptimizer optimizer )

◆ createConstantVariableAndAssignOperation()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createConstantVariableAndAssignOperation	(	const char *	namePrefix,
		const char *	variablePrefix,
		const char *	assignPrefix,
		const char *	name,
		int	numDims,
		const int64_t *	dims,
		int	numData,
		std::vector< const char * > &	valueNames,
		std::vector< const char * > &	assignNames,
		float *	constantValue
	)

◆ createConstOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createConstOperation	(	TF_Tensor *	tensor,
		char *	name,
		TF_DataType	dataType
	)

◆ createCostFunctionOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createCostFunctionOperation	(	TF_Operation *	predictions,
		CscLossFunction	lossFunction
	)

◆ createDenseLayer()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createDenseLayer	(	int	hiddenLayerId,
		int	nbNeuronsPreviousLayer,
		int	nbNeuronsLayer,
		TF_Operation *	previousLayer,
		CscActivationFunction	fctActivationName,
		CscInitializationWeightsStrategy	initilizationStrategy,
		CscInitializationBiasStrategy	initializationBiasStrategy
	)

◆ createDenseLayerOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createDenseLayerOperation	(	TF_Operation *	input,
		const char *	weightVarName,
		const char *	biasVarName,
		CscActivationFunction	activFuncName,
		int	denseLayerId
	)

◆ createGradientDescentUpdateOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createGradientDescentUpdateOperation	(	TF_Output	variable,
		TF_Output	gradient
	)

◆ createInputLayerOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createInputLayerOperation ( int numFeatures )

◆ createMatriceMultiplicationOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createMatriceMultiplicationOperation	(	TF_Operation *	a,
		TF_Operation *	b
	)

◆ createMeanAbsoluteErrorCostFunctionOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createMeanAbsoluteErrorCostFunctionOperation ( TF_Operation * predictions )

◆ createMeanSquaredErrorCostFunctionOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createMeanSquaredErrorCostFunctionOperation ( TF_Operation * predictions )

◆ createNeuralNetwork()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createNeuralNetwork	(	CscActivationFunction	hiddenLayersFunctionActivation,
		CscActivationFunction	outputLayerFunctionActivation,
		CscLossFunction	lossFunction,
		CscInitializationWeightsStrategy	initilizationStrategy,
		CscInitializationBiasStrategy	initializationBiasStrategy,
		bool	withCostFunction
	)

Constructs the neural network by setting up the input layer, hidden layers, and the output layer using the provided activation functions, weight and bias initialization strategies, and loss function.

This method initializes the entire architecture of a neural network based on the configuration specified through the CscNeuralNetworkShape and the given parameters for activation functions, initialization strategies, and loss function. It ensures that the number of hidden layers matches the number of neurons per hidden layer defined in the shape. It sets up an input layer, multiple hidden layers, and an output layer. Additionally, it also creates placeholders for target values necessary for training.

Parameters

hiddenLayersFunctionActivation	The activation function to be used for all hidden layers.
outputLayerFunctionActivation	The activation function to be used for the output layer.
lossFunction	The loss function to be used in the output layer for training.
initializationWeightsStrategy	The strategy for initializing weights in all layers.
initializationBiasStrategy	The strategy for initializing biases in all layers.

Exceptions

std::runtime_error If the precondition is not met (e.g., mismatch in the number of hidden layers and neurons per layer).

◆ createOperationFromSingleOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createOperationFromSingleOperation	(	TF_Operation *	operation,
		const char *	operationString,
		const char *	operationName
	)

◆ createOperationFromTwoOperations()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createOperationFromTwoOperations	(	TF_Operation *	a,
		TF_Operation *	b,
		const char *	operationString,
		const char *	operationName
	)

◆ createOutputLayerOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createOutputLayerOperation	(	int	nbNeuronsPreviousLayer,
		TF_Operation *	previousLayer,
		CscActivationFunction	fctActivationName,
		CscLossFunction	lossFunction,
		CscInitializationWeightsStrategy	initializationStrategy,
		CscInitializationBiasStrategy	initializationBiasStrategy,
		bool	withCostFunction
	)

◆ createPlaceHolderOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createPlaceHolderOperation	(	int	numFeatures,
		const char *	name
	)

◆ createTargetPlaceHoldersOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createTargetPlaceHoldersOperation ( )

◆ createUpdateOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createUpdateOperation	(	CscOptimizer	optimizer,
		int	nthVariable
	)

◆ createVariableInGraph()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createVariableInGraph	(	const int64_t *	dims,
		int	num_dims,
		float *	data,
		int	num_data,
		char *	name
	)

◆ createVariableV2Operation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::createVariableV2Operation	(	const int64_t *	dims,
		int	numDims,
		const char *	name,
		TF_DataType	dataType
	)

◆ getAssignationsBestValuesNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsBestValuesNames ( )

◆ getAssignationsInitAdadeltaGradientNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitAdadeltaGradientNames ( )

◆ getAssignationsInitAdadeltaUpdateNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitAdadeltaUpdateNames ( )

◆ getAssignationsInitAdagradNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitAdagradNames ( )

◆ getAssignationsInitAdamFirstMomentNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitAdamFirstMomentNames ( )

◆ getAssignationsInitAdamSecondMomentNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitAdamSecondMomentNames ( )

◆ getAssignationsInitNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getAssignationsInitNames ( )

◆ getGraph()

TF_Graph * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getGraph ( ) const

◆ getGraphOperation()

TF_Operation * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getGraphOperation ( ) const

◆ getPartialDerivatives()

TF_Output * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getPartialDerivatives ( )

◆ getStatus()

TF_Status * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getStatus ( ) const

◆ getTrainableVars()

TF_Output * conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getTrainableVars ( )

◆ getUpdateNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getUpdateNames ( )

◆ getVarAdadeltaGradientValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarAdadeltaGradientValueNames ( )

◆ getVarAdadeltaUpdateValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarAdadeltaUpdateValueNames ( )

◆ getVarAdagradValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarAdagradValueNames ( )

◆ getVarAdamFirstMomentValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarAdamFirstMomentValueNames ( )

◆ getVarAdamSecondMomentValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarAdamSecondMomentValueNames ( )

◆ getVarBestValueNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarBestValueNames ( )

◆ getVarNames()

vector< const char * > & conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::getVarNames ( )

◆ printTensorShapeOfOperationAndReturnNumberNeurons()

int conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::printTensorShapeOfOperationAndReturnNumberNeurons	(	TF_Graph *	graph,
		const char *	operationName
	)

static

◆ setBiasesLoadedFromModel()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::setBiasesLoadedFromModel ( float ** biasesLoadedFromModelUpdate )

◆ setWeightsLoadedFromModel()

void conscience_core::ai::nn::CscNeuralNetworkBuilderTensorFlow::setWeightsLoadedFromModel ( float ** weightsLoadedFromModelUpdate )

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

ArtificialIntelligence/CscNeuralNetworkBuilderTensorFlow.h
ArtificialIntelligence/CscNeuralNetworkBuilderTensorFlow.cpp

Conscience Core

Public Member Functions

Static Public Member Functions