| | |
| | | #include "matrix.h" |
| | | #include "utils.h" |
| | | #include "mini_blas.h" |
| | | #include "server.h" |
| | | |
| | | #include <time.h> |
| | | #include <stdlib.h> |
| | |
| | | } |
| | | } |
| | | |
| | | void train_imagenet_distributed(char *address) |
| | | { |
| | | float avg_loss = 1; |
| | | srand(time(0)); |
| | | network net = parse_network_cfg("cfg/alexnet.client"); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1000/net.batch+1; |
| | | imgs = 1; |
| | | int i = 0; |
| | | char **labels = get_labels("/home/pjreddie/data/imagenet/cls.labels.list"); |
| | | list *plist = get_paths("/data/imagenet/cls.train.list"); |
| | | char **paths = (char **)list_to_array(plist); |
| | | printf("%d\n", plist->size); |
| | | clock_t time; |
| | | while(1){ |
| | | i += 1; |
| | | time=clock(); |
| | | data train = load_data_random(imgs*net.batch, paths, plist->size, labels, 1000, 256, 256); |
| | | //translate_data_rows(train, -144); |
| | | normalize_data_rows(train); |
| | | printf("Loaded: %lf seconds\n", sec(clock()-time)); |
| | | time=clock(); |
| | | #ifdef GPU |
| | | float loss = train_network_data_gpu(net, train, imgs); |
| | | client_update(net, address); |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | printf("%d: %f, %f avg, %lf seconds, %d images\n", i, loss, avg_loss, sec(clock()-time), i*imgs*net.batch); |
| | | #endif |
| | | free_data(train); |
| | | if(i%10==0){ |
| | | char buff[256]; |
| | | sprintf(buff, "/home/pjreddie/imagenet_backup/alexnet_%d.cfg", i); |
| | | save_network(net, buff); |
| | | } |
| | | } |
| | | } |
| | | |
| | | void train_imagenet() |
| | | { |
| | | float avg_loss = 1; |
| | | //network net = parse_network_cfg("/home/pjreddie/imagenet_backup/alexnet_1270.cfg"); |
| | | network net = parse_network_cfg("cfg/alexnet.part"); |
| | | srand(time(0)); |
| | | network net = parse_network_cfg("cfg/alexnet.cfg"); |
| | | printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay); |
| | | int imgs = 1000/net.batch+1; |
| | | srand(time(0)); |
| | | //imgs=1; |
| | | int i = 0; |
| | | char **labels = get_labels("/home/pjreddie/data/imagenet/cls.labels.list"); |
| | | list *plist = get_paths("/data/imagenet/cls.train.list"); |
| | |
| | | for(c = 0; c < 8; ++c){ |
| | | j = (r*8 + c) * 5; |
| | | printf("Prob: %f\n", box[j]); |
| | | if(box[j] > .05){ |
| | | if(box[j] > .01){ |
| | | int d = 256/8; |
| | | int y = r*d+box[j+1]*d; |
| | | int x = c*d+box[j+2]*d; |
| | |
| | | printf("%d, %d, %d\n", train.X.rows, split[0].X.rows, split[1].X.rows); |
| | | } |
| | | |
| | | /* |
| | | void test_im2row() |
| | | { |
| | | int h = 20; |
| | |
| | | //image render = float_to_image(mh, mw, mc, matrix); |
| | | } |
| | | } |
| | | */ |
| | | |
| | | void flip_network() |
| | | { |
| | |
| | | #endif |
| | | } |
| | | |
| | | void test_server() |
| | | void run_server() |
| | | { |
| | | network net = parse_network_cfg("cfg/alexnet.test"); |
| | | srand(time(0)); |
| | | network net = parse_network_cfg("cfg/alexnet.server"); |
| | | server_update(net); |
| | | } |
| | | void test_client() |
| | | { |
| | | network net = parse_network_cfg("cfg/alexnet.test"); |
| | | client_update(net); |
| | | network net = parse_network_cfg("cfg/alexnet.client"); |
| | | clock_t time=clock(); |
| | | client_update(net, "localhost"); |
| | | printf("1\n"); |
| | | client_update(net, "localhost"); |
| | | printf("2\n"); |
| | | client_update(net, "localhost"); |
| | | printf("3\n"); |
| | | printf("Transfered: %lf seconds\n", sec(clock()-time)); |
| | | } |
| | | |
| | | int main(int argc, char *argv[]) |
| | |
| | | else if(0==strcmp(argv[1], "nist")) train_nist(); |
| | | else if(0==strcmp(argv[1], "test_correct")) test_correct_alexnet(); |
| | | else if(0==strcmp(argv[1], "test")) test_imagenet(); |
| | | else if(0==strcmp(argv[1], "server")) test_server(); |
| | | else if(0==strcmp(argv[1], "client")) test_client(); |
| | | else if(0==strcmp(argv[1], "server")) run_server(); |
| | | else if(0==strcmp(argv[1], "client")) train_imagenet_distributed(argv[2]); |
| | | else if(0==strcmp(argv[1], "detect")) test_detection(); |
| | | else if(0==strcmp(argv[1], "visualize")) test_visualize(argv[2]); |
| | | else if(0==strcmp(argv[1], "valid")) validate_imagenet(argv[2]); |