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/*****************************************************************************
FILE : $Source: /usr/local/bv/SNNS/SNNSv4.1/kernel/sources/RCS/ext_typ.h,v $
SHORTNAME :
SNNS VERSION : 4.1
PURPOSE : SNNS MasPar Kernel: Datatypes and Constants for Internal Usage
NOTES :
AUTHOR : Niels Mache
DATE : 01.01.92
CHANGED BY : Sven Doering
IDENTIFICATION : $State: Exp $ $Locker: $
RCS VERSION : $Revision: 2.5 $
LAST CHANGE : $Date: 1995/11/16 12:02:18 $
Copyright (c) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG
******************************************************************************/
#ifndef KR_EXTERNAL_TYPES
#define KR_EXTERNAL_TYPES
typedef void (* FunctionPtr) (void *,...);
typedef krui_err (* NetFunctionPtr) (void *,...);
struct UnitValues {
unsigned short selector;
int lun, lln;
FlintType out, act, i_act, bias;
};
struct UnitDescriptor {
int srcUnitLLN,
destUnitLLN,
srcUnitLUN,
destUnitLUN;
};
struct NetFuncParameters {
int start_pattern_no,
end_pattern_no,
cycles,
no_of_input_parameters,
no_of_output_parameters;
float input_parameters[NO_OF_LEARN_PARAMS],
output_parameters[NO_OF_LEARN_PARAMS];
FunctionPtr function; /* pointer to the function */
};
/*#################################################
GROUP: Type Definition of Function Table
#################################################*/
/* Function table structure
*/
struct FuncTable {
char *func_name; /* name of the function */
unsigned short func_type, /* type of the function */
no_of_input_parameters, /* no. of input parameters used by this function */
/* (only for Update, Init and Learning functions) */
no_of_output_parameters; /* no. of ouput parameters returned by this function */
/* (only for Update and Learning functions) */
FunctionPtr function; /* pointer to the function */
#ifdef PARAGON_KERNEL
bool parallelized; /* learning function parallelized for */
/* the Intel Paragon service process */
#endif
};
#define FUNCTION_NAME_MAX_LEN 100
struct FuncInfoDescriptor {
int number;
char func_name[FUNCTION_NAME_MAX_LEN]; /* name of the function */
unsigned short
func_type, /* type of the function */
no_of_input_parameters, /* no. of input parameters used by this function */
/* (only for Update, Init and Learning functions) */
no_of_output_parameters; /* no. of ouput parameters returned by this function */
/* (only for Update and Learning functions) */
FunctionPtr function; /* pointer to the function */
#ifdef PARAGON_KERNEL
bool parallelized; /* learning function parallelized for */
/* the Intel Paragon */
#endif
};
/*#################################################
GROUP: Feedforward network descriptor
#################################################*/
#ifdef MASPAR_KERNEL
/* max. number of layers of a feedforward network in superscalar kernel mode */
#define FF_MAX_LAYERS 8
struct FFnetDescriptor {
int no_of_layers; /* no. of layers of the network */
int no_of_weights; /* no. of weights in network */
struct
{ /* describes the layers of the network
(layers[i] describes the units in layer i, layer 0 is the input layer) */
int no_of_units; /* no. of units in this layer */
struct
{ /* inputs[k] describes the input connections of the units in
the layer i to units in layer k */
int no_of_inputs; /* stores the total no. of connections
from units in layer k with units in layer i.
*/
FlintType *weight_array; /* pointer to the weight array containing the
connection weights of connections from
layer i to layer k.
*/
/* if the network has partial connected units: */
/* first input connection of unit i to unit <first_connection>
in layer k
*/
/* gap count of the input connections of units in layer i with
units in layer k
*/
} inputs[FF_MAX_LAYERS - 1];
} layers[FF_MAX_LAYERS];
};
struct MasParInfo {
int no_of_PEs,
memory_perPE,
no_of_network_copies,
no_of_used_PEs;
float efficiency;
};
#endif
#endif
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