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#include "spires_interface.h"
#include <spires.h>
#include <stdlib.h>
#include <stdio.h>
#include <stdint.h>
#include <stddef.h>
#include <math.h>
int collect_reservoir_states(
spires_reservoir *reservoir,
const double *input_series,
size_t series_length,
Reservoir_State_Matrix *result
) {
//error checking
//RIP
//clear the result first
result->num_samples = 0;
result->num_features = 0;
result->states = NULL;
const size_t num_inputs = spires_num_inputs(reservoir);
const size_t num_neurons = spires_num_neurons(reservoir);
if (series_length > SIZE_MAX / num_neurons || series_length * num_neurons
> SIZE_MAX / sizeof(double)) {
fprintf(stderr, "matrix size overloaded!!");
return -1;
}
double *states = malloc(num_neurons * series_length * sizeof(*states));
if (!states) {
fprintf(stderr, "failed to allocate memory for states");
return -1;
}
spires_status status = spires_reservoir_reset(reservoir);
if (status != SPIRES_OK) {
fprintf(stderr, "reservoir reset error");
free(states);
return -1;
}
// build state_matrix
for (size_t i = 0; i < series_length; i++) {
const double *current_input = &input_series[i * num_inputs];
status = spires_step(reservoir, current_input);
if (status != SPIRES_OK){
free(states);
return -1;
}
double *current_state = &states[i * num_neurons];
status = spires_read_reservoir_state(reservoir, current_state);
if (status != SPIRES_OK){
free(states);
return -1;
}
}
result->num_samples = series_length;
result->num_features = num_neurons;
result->states = states;
return 0;
}
int map_signed_weights_to_resistance(
const double *weights,
size_t num_neurons,
size_t num_outputs,
double resistance_on,
double resistance_off,
double *resistances,
double *conductance_offset,
double *conductance_scale
) {
//safety check arguments
if (weights == NULL || resistances == NULL || num_neurons == 0 ||
num_outputs == 0 || resistance_on <= 0 || resistance_off <= resistance_on) {
return -1;
}
const size_t count = num_neurons * num_outputs;
const double conductance_max = 1.0 / resistance_on;
const double conductance_min = 1.0 / resistance_off;
double max_absolute_weight = 0.0;
for (size_t i = 0; i < count; i++) {
double magnitude = fabs(weights[i]);
if (magnitude > max_absolute_weight) {
max_absolute_weight = magnitude;
}
}
const double offset =
0.5 * (conductance_max + conductance_min);
if (max_absolute_weight == 0.0) {
for (size_t i = 0; i < count; i++) {
resistances[i] = 1.0 / offset;
}
if (conductance_offset != NULL) {
*conductance_offset = offset;
}
if (conductance_scale != NULL) {
*conductance_scale = 0.0;
}
return 0;
}
const double scale =
(conductance_max - conductance_min) /
(2.0 * max_absolute_weight);
for (size_t i = 0; i < count; i++) {
double conductance =
offset + scale * weights[i];
/*
* Protect against small floating-point excursions.
*/
if (conductance < conductance_min) {
conductance = conductance_min;
} else if (conductance > conductance_max) {
conductance = conductance_max;
}
resistances[i] = 1.0 / conductance;
}
if (conductance_offset != NULL) {
*conductance_offset = offset;
}
if (conductance_scale != NULL) {
*conductance_scale = scale;
}
return 0;
}
int train_reservoir(
spires_reservoir *reservoir,
double *input_series,
double *target_series,
size_t series_length,
double lambda
) {
spires_status status = spires_train_ridge(
reservoir,
(double *)input_series,
(double *)target_series,
series_length,
lambda
);
if (status != SPIRES_OK) {
fprintf(stderr, "Spires ridge training failed");
return -1;
}
//need to figure out how to scale weights to conductance values,
//that are then the reciprocal of the resistances
//Also need to find some conversion for output column current, and target_series
return 0;
}
void free_reservoir_state_matrix(Reservoir_State_Matrix *matrix) {
if (!matrix) {
return;
}
free(matrix->states);
matrix->states = NULL;
matrix->num_samples = 0;
matrix->num_features = 0;
}
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