darknet/src/network.h

76 lines
2.1 KiB
C
Raw Normal View History

2013-11-04 23:11:01 +04:00
// Oh boy, why am I about to do this....
#ifndef NETWORK_H
#define NETWORK_H
2014-05-10 02:14:52 +04:00
#include "opencl.h"
2013-11-04 23:11:01 +04:00
#include "image.h"
2013-11-13 22:50:38 +04:00
#include "data.h"
2013-11-04 23:11:01 +04:00
typedef enum {
CONVOLUTIONAL,
CONNECTED,
2013-12-03 04:41:40 +04:00
MAXPOOL,
2014-04-17 04:05:29 +04:00
SOFTMAX,
2014-08-08 23:04:15 +04:00
NORMALIZATION,
2014-08-11 23:52:07 +04:00
DROPOUT,
2014-10-13 11:29:01 +04:00
FREEWEIGHT,
CROP,
COST
2013-11-04 23:11:01 +04:00
} LAYER_TYPE;
typedef struct {
int n;
2014-03-13 08:57:34 +04:00
int batch;
2014-08-08 23:04:15 +04:00
float learning_rate;
float momentum;
float decay;
2013-11-04 23:11:01 +04:00
void **layers;
LAYER_TYPE *types;
2013-12-07 01:26:09 +04:00
int outputs;
float *output;
2014-05-10 02:14:52 +04:00
#ifdef GPU
2014-10-17 02:17:23 +04:00
cl_mem *input_cl;
cl_mem *truth_cl;
2014-05-10 02:14:52 +04:00
#endif
2013-11-04 23:11:01 +04:00
} network;
2014-08-28 06:11:46 +04:00
#ifdef GPU
2014-10-13 11:29:01 +04:00
void forward_network_gpu(network net, cl_mem input, cl_mem truth, int train);
void backward_network_gpu(network net, cl_mem input);
void update_network_gpu(network net);
cl_mem get_network_output_cl_layer(network net, int i);
cl_mem get_network_delta_cl_layer(network net, int i);
2014-10-17 02:17:23 +04:00
float train_network_sgd_gpu(network net, data d, int n);
2014-08-28 06:11:46 +04:00
#endif
2014-03-13 08:57:34 +04:00
network make_network(int n, int batch);
2014-10-13 11:29:01 +04:00
void forward_network(network net, float *input, float *truth, int train);
void backward_network(network net, float *input);
2014-08-08 23:04:15 +04:00
void update_network(network net);
float train_network_sgd(network net, data d, int n);
float train_network_batch(network net, data d, int n);
void train_network(network net, data d);
2013-12-07 21:38:50 +04:00
matrix network_predict_data(network net, data test);
2014-10-25 22:57:26 +04:00
float *network_predict(network net, float *input);
float network_accuracy(network net, data d);
2014-08-11 23:52:07 +04:00
float network_accuracy_multi(network net, data d, int n);
2014-10-25 22:57:26 +04:00
void top_predictions(network net, int n, int *index);
float *get_network_output(network net);
float *get_network_output_layer(network net, int i);
float *get_network_delta_layer(network net, int i);
float *get_network_delta(network net);
int get_network_output_size_layer(network net, int i);
2013-11-13 22:50:38 +04:00
int get_network_output_size(network net);
2013-11-04 23:11:01 +04:00
image get_network_image(network net);
image get_network_image_layer(network net, int i);
2013-12-07 01:26:09 +04:00
int get_predicted_class_network(network net);
2013-12-03 04:41:40 +04:00
void print_network(network net);
void visualize_network(network net);
2014-03-13 08:57:34 +04:00
int resize_network(network net, int h, int w, int c);
2014-05-10 02:14:52 +04:00
int get_network_input_size(network net);
2014-10-13 11:29:01 +04:00
float get_network_cost(network net);
2013-11-04 23:11:01 +04:00
#endif