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#include "spires_interface.h"
#include "crossbar_generator.h"
#include <math.h>
#include <spires.h>
#include <stdio.h>
#include <stdlib.h>
#include <plplot/plplot.h>
#define NUM_NEURONS 400
#define NUM_INPUTS 4
#define NUM_OUTPUTS 2
#define NUM_TRAINING_STEPS 500
#define PI 3.14159265358979323846
static int plot_raster(
const Reservoir_State_Matrix *matrix,
size_t neurons_to_plot,
double spike_threshold
);
int main(void) {
//discrete LIF parameters
double lif_config[] = {
0.0, //V_off
1.0, //V_th
0.2, //leak rate
0.5, //bias
};
const spires_reservoir_config config = {
.num_neurons = NUM_NEURONS,
.num_inputs = NUM_INPUTS,
.num_outputs = NUM_OUTPUTS,
.spectral_radius = 0.95,
.ei_ratio = 0.8,
.input_strength = 0.1,
.connectivity = 0.1,
.dt = 1.0,
.connectivity_type = SPIRES_CONN_RANDOM,
.neuron_type = SPIRES_NEURON_LIF_DISCRETE,
.neuron_params = lif_config
};
spires_reservoir *reservoir = NULL;
spires_status status = spires_reservoir_create(
&config,
&reservoir
);
if (status != SPIRES_OK) {
fprintf(stderr, "Failed to create reservoir");
return -1;
}
//create data set (sin wave time series prediction)
double training_inputs[NUM_TRAINING_STEPS * NUM_INPUTS];
for (size_t timestep = 0; timestep < NUM_TRAINING_STEPS; timestep++) {
for (size_t input = 0; input < NUM_INPUTS; input++) {
training_inputs[timestep * NUM_INPUTS + input] = sin(2.0 * PI * (double)timestep / 50.0);
}
}
Reservoir_State_Matrix state_matrix = {0};
if (collect_reservoir_states(reservoir, training_inputs, NUM_TRAINING_STEPS,
&state_matrix) != 0) {
fprintf(stderr, "Failed to collect reservoir states");
spires_reservoir_destroy(reservoir);
return -1;
}
printf("collected state matrix: %zu x %zu\n", state_matrix.num_samples,
state_matrix.num_features);
//generate raster plot for verification
if (plot_raster(&state_matrix, NUM_NEURONS, 0.5) != 0) {
fprintf(stderr, "Failed to plot raster\n");
}
//now I need to send the outputs to a crossbar
double *initial_resistances = malloc(NUM_NEURONS * NUM_OUTPUTS * sizeof(*initial_resistances));
if (!initial_resistances) {
fprintf(stderr, "Failed to allocate memory for initial resistances");
return -1;
}
//all memristors start with same resistance for now
for (size_t i = 0; i < NUM_NEURONS * NUM_OUTPUTS; i++) {
initial_resistances[i] = 80000;
}
const Crossbar_Config crossbar_config = {
.rows = state_matrix.num_features,
.columns = NUM_OUTPUTS,
.input_series = state_matrix.states,
.num_samples = state_matrix.num_samples,
.initial_resistance = initial_resistances,
.model_path = "hp_memristor.cir",
.subcircuit_name = "memristor",
.load_resistance = 50.0,
.time_step = 1e-6,
.stop_time = state_matrix.num_samples * 1e-6,
.print_state_nodes = 0
};
if (generate_crossbar("crossbar.cir", &crossbar_config) < 0) {
fprintf(stderr, "failed to create crossbar config");
}
//call ngspice for crossbar
//clean up
printf("YAY IT WORKED!!! Cleaning up :)");
free(initial_resistances);
free_reservoir_state_matrix(&state_matrix);
spires_reservoir_destroy(reservoir);
return 0;
}
static int plot_raster(
const Reservoir_State_Matrix *matrix,
size_t neurons_to_plot,
double spike_threshold
) {
if (!matrix || !matrix->states || matrix->num_samples == 0) {
return -1;
}
if (neurons_to_plot > matrix->num_features) {
neurons_to_plot = matrix->num_features;
}
/* first pass: count spikes */
size_t spike_count = 0;
for (size_t t = 0; t < matrix->num_samples; t++) {
for (size_t n = 0; n < neurons_to_plot; n++) {
double value = matrix->states[t * matrix->num_features + n];
if (value > spike_threshold) {
spike_count++;
}
}
}
if (spike_count == 0) {
fprintf(stderr, "No spikes found above threshold %.3f\n", spike_threshold);
return -1;
}
PLFLT *x = malloc(spike_count * sizeof(*x));
PLFLT *y = malloc(spike_count * sizeof(*y));
if (!x || !y) {
free(x);
free(y);
return -1;
}
/* second pass: fill spike coordinates */
size_t k = 0;
for (size_t t = 0; t < matrix->num_samples; t++) {
for (size_t n = 0; n < neurons_to_plot; n++) {
double value = matrix->states[t * matrix->num_features + n];
if (value > spike_threshold) {
x[k] = (PLFLT)t;
y[k] = (PLFLT)n;
k++;
}
}
}
/* pick whichever device you have */
plsdev("pngcairo");
plsfnam("reservoir_raster.png");
plsetopt("geometry", "1600x1200");
plscolbg(255, 255, 255);
plinit();
plscol0(1, 40, 40, 40); //gray axis
plscol0(2, 0, 0, 0); //blue points
plcol0(1);
plwidth(1.0);
plenv(
0.0,
(PLFLT)(matrix->num_samples - 1),
0.0,
(PLFLT)(neurons_to_plot - 1),
0,
0
);
pllab(
"Timestep",
"Neuron index",
"SPIRES Reservoir Raster Plot"
);
plcol0(2);
plwidth(1.0);
for (size_t i = 0; i < spike_count; i++) {
PLFLT xline[2] = {x[i], x[i]};
PLFLT yline[2] = {y[i] - 0.35, y[i] + 0.35};
plline(2, xline, yline);
}
plend();
free(x);
free(y);
return 0;
}
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