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load network

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This commit is contained in:
Thomas Schleicher 2023-09-21 09:56:10 +02:00
parent 2654733c27
commit d9b6e342c0
5 changed files with 24 additions and 27 deletions
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2
.gitignore vendored
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@ -56,3 +56,5 @@ Mkfile.old
dkms.conf
/.idea/.name
/.idea/misc.xml
/.idea/shelf/Uncommitted_changes_before_Update_at_21_09_23,_09_38_[Changes]/shelved.patch
/.idea/shelf/Uncommitted_changes_before_Update_at_21_09_23,_09_38_[Changes]/shelved.patch

20
main.c
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@ -5,25 +5,13 @@
#include "neuronal_network.h"
int main() {
// Image** images = import_images("../data/train-images.idx3-ubyte", "../data/train-labels.idx1-ubyte", NULL, 2);
// img_visualize(images[1]);
// Image** images = import_images("../data/train-images.idx3-ubyte", "../data/train-labels.idx1-ubyte", NULL, 60000);
// img_visualize(images[4]);
// Neural_Network* nn = new_network(4, 2, 3, 0.5);
//
// int n = 20;
//
// matrix_randomize(nn->bias_1, n);
// matrix_randomize(nn->bias_2, n);
// matrix_randomize(nn->bias_3, n);
//
// matrix_randomize(nn->weights_1, n);
// matrix_randomize(nn->weights_2, n);
// matrix_randomize(nn->weights_3, n);
//
// matrix_randomize(nn->weights_output, n);
//
// randomize_network(nn, 20);
// save_network(nn);
Neural_Network* nn = load_network("../networks/test1.txt");
// Neural_Network* nn = load_network("../networks/test1.txt");
}

17
matrix.c
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@ -246,7 +246,6 @@ Matrix* transpose(Matrix* matrix) {
}
//file operations
void matrix_save(Matrix* matrix, char* file_string){
// open the file in append mode
@ -274,38 +273,40 @@ void matrix_save(Matrix* matrix, char* file_string){
}
Matrix* matrix_load(char* file_string){
FILE *fptr = fopen(file_string, "r");
if(!fptr){
printf("Could not open \"%s\"", file_string);
exit(1);
}
Matrix * m = load_next_matrix(fptr);
fclose(fptr);
return m;
}
Matrix * load_next_matrix(FILE *fptr){
Matrix* load_next_matrix(FILE *save_file){
char buffer[MAX_BYTES];
fgets(buffer, MAX_BYTES, fptr);
fgets(buffer, MAX_BYTES, save_file);
int rows = (int)strtol(buffer, NULL, 10);
fgets(buffer, MAX_BYTES, fptr);
fgets(buffer, MAX_BYTES, save_file);
int cols = (int)strtol(buffer, NULL, 10);
Matrix *matrix = matrix_create(rows, cols);
for(int i = 0; i < rows; i++){
for(int j = 0; j < cols; j++){
fgets(buffer, MAX_BYTES, fptr);
fgets(buffer, MAX_BYTES, save_file);
matrix->numbers[i][j] = strtod(buffer, NULL);
}
}
return matrix;
}
Matrix* matrix_flatten(Matrix* matrix, int axis) {
// Axis = 0 -> Column Vector, Axis = 1 -> Row Vector
Matrix* result_matrix;
@ -329,8 +330,6 @@ Matrix* matrix_flatten(Matrix* matrix, int axis) {
return result_matrix;
}
int matrix_argmax(Matrix* matrix) {
// Expects a Mx1 matrix
if (matrix->columns != 1){

2
matrix.h
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@ -16,7 +16,7 @@ void matrix_print(Matrix *matrix);
Matrix* matrix_copy(Matrix *matrix);
void matrix_save(Matrix* matrix, char* file_string);
Matrix* matrix_load(char* file_string);
Matrix* load_next_matrix(FILE * fptr);
Matrix* load_next_matrix(FILE * save_file);
void matrix_randomize(Matrix* matrix, int n); // don't understand the usage of the n
int matrix_argmax(Matrix* matrix);

10
neuronal_network.c
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@ -112,8 +112,16 @@ Neural_Network* load_network(char* file) {
// create a new network to fill with the saved data
Neural_Network* saved_network = new_network(input_size, hidden_size, output_size, 0);
// load matrices from file into struct
saved_network->bias_1 = load_next_matrix(save_file);
saved_network->weights_1 = load_next_matrix(save_file);
saved_network->bias_2 = load_next_matrix(save_file);
saved_network->weights_2 = load_next_matrix(save_file);
saved_network->bias_3 = load_next_matrix(save_file);
saved_network->weights_3 = load_next_matrix(save_file);
saved_network->weights_output = load_next_matrix(save_file);
// return saved network
return saved_network;
}