mirror of
https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
66 lines
1.8 KiB
C
66 lines
1.8 KiB
C
#ifndef CONVOLUTIONAL_LAYER_H
|
|
#define CONVOLUTIONAL_LAYER_H
|
|
|
|
#include "opencl.h"
|
|
#include "image.h"
|
|
#include "activations.h"
|
|
|
|
typedef struct {
|
|
float learning_rate;
|
|
float momentum;
|
|
float decay;
|
|
|
|
int batch;
|
|
int h,w,c;
|
|
int n;
|
|
int size;
|
|
int stride;
|
|
int pad;
|
|
float *filters;
|
|
float *filter_updates;
|
|
|
|
float *biases;
|
|
float *bias_updates;
|
|
|
|
float *col_image;
|
|
float *delta;
|
|
float *output;
|
|
|
|
#ifdef GPU
|
|
cl_mem filters_cl;
|
|
cl_mem filter_updates_cl;
|
|
|
|
cl_mem biases_cl;
|
|
cl_mem bias_updates_cl;
|
|
|
|
cl_mem col_image_cl;
|
|
cl_mem delta_cl;
|
|
cl_mem output_cl;
|
|
#endif
|
|
|
|
ACTIVATION activation;
|
|
} convolutional_layer;
|
|
|
|
#ifdef GPU
|
|
void forward_convolutional_layer_gpu(convolutional_layer layer, cl_mem in);
|
|
void backward_convolutional_layer_gpu(convolutional_layer layer, cl_mem in, cl_mem delta_cl);
|
|
void update_convolutional_layer_gpu(convolutional_layer layer);
|
|
void push_convolutional_layer(convolutional_layer layer);
|
|
void pull_convolutional_layer(convolutional_layer layer);
|
|
#endif
|
|
|
|
convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, float learning_rate, float momentum, float decay);
|
|
void resize_convolutional_layer(convolutional_layer *layer, int h, int w, int c);
|
|
void forward_convolutional_layer(const convolutional_layer layer, float *in);
|
|
void update_convolutional_layer(convolutional_layer layer);
|
|
image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters);
|
|
|
|
void backward_convolutional_layer(convolutional_layer layer, float *in, float *delta);
|
|
|
|
image get_convolutional_image(convolutional_layer layer);
|
|
image get_convolutional_delta(convolutional_layer layer);
|
|
image get_convolutional_filter(convolutional_layer layer, int i);
|
|
|
|
#endif
|
|
|