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gnn_weight.h File Reference

#include <gsl/gsl_matrix.h>
#include "gnn_node.h"

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Functions

gnn_node * gnn_weight_new (int input_size, int output_size)

Creates a new gnn_weight : Affine / Linear Transform layer.

int gnn_weight_init (gnn_node *node)

Initializes the layer's parameters.

gsl_matrix * gnn_weight_get_A (gnn_node *node)

Gets the node's parameter matrix .

gsl_vector * gnn_weight_get_B (gnn_node *node)

Gets the node's parameter vector .

gsl_matrix * gnn_weight_get_dA (gnn_node *node)

Gets .

gsl_vector * gnn_weight_get_dB (gnn_node *node)

Gets .

gsl_matrix_int * gnn_weight_get_Af (gnn_node *node)

Gets the frozen flags for the matrix .

gsl_vector_int * gnn_weight_get_Bf (gnn_node *node)

Gets the frozen flags for the vector .

int gnn_weight_connect (gnn_node *node, size_t i, size_t j, double strength)

Connect an input with an output.

int gnn_weight_disconnect (gnn_node *node, size_t i, size_t j)

Disconnect an input with an output.

int gnn_weight_connect_all (gnn_node *node, double strength)

Creates a full connection.

int gnn_weight_disconnect_all (gnn_node *node)

Disconnect all connections.

int gnn_weight_connect_input (gnn_node *node, size_t i, double strength)

Connects the i-th input to all outputs with given strength.

int gnn_weight_disconnect_input (gnn_node *node, size_t i)

Disconnect the i-th input from all outputs.

int gnn_weight_freeze_connection (gnn_node *node, size_t i, size_t j)

Freeze a connection.

int gnn_weight_unfreeze_connection (gnn_node *node, size_t i, size_t j)

Unfreeze a connection.

int gnn_weight_freeze_all_connections (gnn_node *node)

Freeze all connections.

int gnn_weight_unfreeze_all_connections (gnn_node *node)

Unfreeze all connections.

int gnn_weight_connect_bias (gnn_node *node, size_t j, double strength)

Connects a bias.

int gnn_weight_disconnect_bias (gnn_node *node, size_t j)

Disconnects a bias.

int gnn_weight_freeze_bias (gnn_node *node, size_t j)

Freeze a bias.

int gnn_weight_unfreeze_bias (gnn_node *node, size_t j)

Unfreeze a bias.

int gnn_weight_freeze_all_biases (gnn_node *node)

Freeze all biases.

int gnn_weight_unfreeze_all_biases (gnn_node *node)

Unfreeze all biases.

Function Documentation

int gnn_weight_connect ( gnn_node * node,

size_t i,

size_t j,

double strength

)

Connects the i-th input to the j-th output with the given strength and unfreezes it.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The index of the input.

j The index of the output.

strength The strength of the connection.

Returns:
Returns 0 if suceeded.

Definition at line 594 of file gnn_weight.c.

int gnn_weight_connect_all ( gnn_node * node,

double strength

)

Connects the all input to the outputs with the given strength. The connections will be unfrozen.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

strength The strength of the connection.

Returns:
Returns 0 if suceeded.

Definition at line 655 of file gnn_weight.c.

int gnn_weight_connect_bias ( gnn_node * node,

size_t j,

double strength

)

Connects the bias associated with the j-th output with the given strength. The value will be unfrozen.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

j The index of the output associated to the bias.

strength The strength of the connection.

Returns:
Returns 0 if suceeded.

Definition at line 907 of file gnn_weight.c.

int gnn_weight_connect_input ( gnn_node * node,

size_t i,

double strength

)

Connects the input at index i to all outputs with the given strengh strength. The connections will be unfrozen.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The input's index.

strength The strength of the connections.

Returns:
Returns 0 if suceeded.

Definition at line 714 of file gnn_weight.c.

int gnn_weight_disconnect ( gnn_node * node,

size_t i,

size_t j

)

Disconnects the i-th input to the j-th output. The weight will be frozen to 0.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The index of the input.

j The index of the output.

Returns:
Returns 0 if suceeded.

Definition at line 625 of file gnn_weight.c.

int gnn_weight_disconnect_all ( gnn_node * node )

Disconnects all connections. The weights will be frozen to 0.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 if suceeded.

Definition at line 683 of file gnn_weight.c.

int gnn_weight_disconnect_bias ( gnn_node * node,

size_t j

)

Disconnects the bias associated with the j-th output. The value will be frozen to 0.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

j The index of the output associated to the bias.

Returns:
Returns 0 if suceeded.

Definition at line 937 of file gnn_weight.c.

int gnn_weight_disconnect_input ( gnn_node * node,

size_t i

)

Disconnects the i-th input from all outputs. The weights will be frozen to 0.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The input's index.

Returns:
Returns 0 if suceeded.

Definition at line 755 of file gnn_weight.c.

int gnn_weight_freeze_all_biases ( gnn_node * node )

Freezes all biases.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 if suceeded.

Definition at line 1077 of file gnn_weight.c.

int gnn_weight_freeze_all_connections ( gnn_node * node )

Freezes all the connections.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 if suceeded.

Definition at line 852 of file gnn_weight.c.

int gnn_weight_freeze_bias ( gnn_node * node,

size_t j

)

Freezes the bias associated to the j-th output.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

j The index of the output.

Returns:
Returns 0 if suceeded.

Definition at line 1024 of file gnn_weight.c.

int gnn_weight_freeze_connection ( gnn_node * node,

size_t i,

size_t j

)

Freezes the connection from the i-th input to he j-th output.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The index of the input.

j The index of the output.

Returns:
Returns 0 if suceeded.

Definition at line 797 of file gnn_weight.c.

gsl_matrix* gnn_weight_get_A ( gnn_node * node )

This function a pointer to the node's internal parameter matrix . Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called.
Parameters:

node A pointer to a gnn_weight : Affine / Linear Transform.

Returns:
A pointer to a matrix.

Definition at line 431 of file gnn_weight.c.

gsl_matrix_int* gnn_weight_get_Af ( gnn_node * node )

This function returns a pointer to the node's internal matrix frozen flags. Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called. Remember that these values should be binary, beeing either 0 (free) or 1 (frozen).
Parameters:

node A pointer to a gnn_weight : Affine / Linear Transform.

Returns:
A pointer to a matrix.

Definition at line 526 of file gnn_weight.c.

gsl_vector* gnn_weight_get_B ( gnn_node * node )

This function a pointer to the node's internal parameter vector . Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called.
Parameters:

node A pointer to a gnn_node.

Returns:
A pointer to a vector.

Definition at line 454 of file gnn_weight.c.

gsl_vector_int* gnn_weight_get_Bf ( gnn_node * node )

This function returns a pointer to the node's internal vector frozen flags. Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called. Remember that these values should be binary, beeing either 0 (free) or 1 (frozen).
Parameters:

node A pointer to a gnn_node.

Returns:
A pointer to a vector.

Definition at line 550 of file gnn_weight.c.

gsl_matrix* gnn_weight_get_dA ( gnn_node * node )

This function a pointer to the node's internal parameter matrix gradient . Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called.
Parameters:

node A pointer to a gnn_weight : Affine / Linear Transform.

Returns:
A pointer to a matrix.

Definition at line 478 of file gnn_weight.c.

gsl_vector* gnn_weight_get_dB ( gnn_node * node )

This function a pointer to the node's internal parameter vector gradient . Its values can be freely modified, but after changes are made, the gnn_node_local_update function should be called.
Parameters:

node A pointer to a gnn_node.

Returns:
A pointer to a vector.

Definition at line 502 of file gnn_weight.c.

int gnn_weight_init ( gnn_node * node )

This functions initializes the layer's parameters by values drawn from a uniform distribution with mean zero and standard deviation

to insure that each of the outputs are approximately .
Implementation Note: The numbers are generated by

where is drawn from a uniform distribution in .
Parameters:

layer A pointer to a gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 on success.

Definition at line 383 of file gnn_weight.c.

gnn_node* gnn_weight_new ( int input_size,

int output_size

)

This function creates a new gnn_node of gnn_weight : Affine / Linear Transform type.
Parameters:

input_size The node's input size.

output_size The node's output size.

Returns:
A new node.

Definition at line 296 of file gnn_weight.c.

int gnn_weight_unfreeze_all_biases ( gnn_node * node )

Unfreezes all biases.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 if suceeded.

Definition at line 1103 of file gnn_weight.c.

int gnn_weight_unfreeze_all_connections ( gnn_node * node )

Unfreezes all the connections.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

Returns:
Returns 0 if suceeded.

Definition at line 878 of file gnn_weight.c.

int gnn_weight_unfreeze_bias ( gnn_node * node,

size_t j

)

Unfreezes the bias associated to the j-th output.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

j The index of the output.

Returns:
Returns 0 if suceeded.

Definition at line 1051 of file gnn_weight.c.

int gnn_weight_unfreeze_connection ( gnn_node * node,

size_t i,

size_t j

)

Unfreezes the connection going from the i-th input to the j-th output.
Parameters:

node A gnn_weight : Affine / Linear Transform node.

i The index of the input.

j The index of the output.

Returns:
Returns 0 if suceeded.

Definition at line 826 of file gnn_weight.c.

Generated on Sun Jun 13 20:51:28 2004 for libgnn Gradient Retropropagation Machine Library by

1.2.18


Functions
gnn_node *	gnn_weight_new (int input_size, int output_size)
	Creates a new gnn_weight : Affine / Linear Transform layer.
int	gnn_weight_init (gnn_node *node)
	Initializes the layer's parameters.
gsl_matrix *	gnn_weight_get_A (gnn_node *node)
	Gets the node's parameter matrix .
gsl_vector *	gnn_weight_get_B (gnn_node *node)
	Gets the node's parameter vector .
gsl_matrix *	gnn_weight_get_dA (gnn_node *node)
	Gets .
gsl_vector *	gnn_weight_get_dB (gnn_node *node)
	Gets .
gsl_matrix_int *	gnn_weight_get_Af (gnn_node *node)
	Gets the frozen flags for the matrix .
gsl_vector_int *	gnn_weight_get_Bf (gnn_node *node)
	Gets the frozen flags for the vector .
int	gnn_weight_connect (gnn_node *node, size_t i, size_t j, double strength)
	Connect an input with an output.
int	gnn_weight_disconnect (gnn_node *node, size_t i, size_t j)
	Disconnect an input with an output.
int	gnn_weight_connect_all (gnn_node *node, double strength)
	Creates a full connection.
int	gnn_weight_disconnect_all (gnn_node *node)
	Disconnect all connections.
int	gnn_weight_connect_input (gnn_node *node, size_t i, double strength)
	Connects the i-th input to all outputs with given strength.
int	gnn_weight_disconnect_input (gnn_node *node, size_t i)
	Disconnect the i-th input from all outputs.
int	gnn_weight_freeze_connection (gnn_node *node, size_t i, size_t j)
	Freeze a connection.
int	gnn_weight_unfreeze_connection (gnn_node *node, size_t i, size_t j)
	Unfreeze a connection.
int	gnn_weight_freeze_all_connections (gnn_node *node)
	Freeze all connections.
int	gnn_weight_unfreeze_all_connections (gnn_node *node)
	Unfreeze all connections.
int	gnn_weight_connect_bias (gnn_node *node, size_t j, double strength)
	Connects a bias.
int	gnn_weight_disconnect_bias (gnn_node *node, size_t j)
	Disconnects a bias.
int	gnn_weight_freeze_bias (gnn_node *node, size_t j)
	Freeze a bias.
int	gnn_weight_unfreeze_bias (gnn_node *node, size_t j)
	Unfreeze a bias.
int	gnn_weight_freeze_all_biases (gnn_node *node)
	Freeze all biases.
int	gnn_weight_unfreeze_all_biases (gnn_node *node)
	Unfreeze all biases.