mirror of https://github.com/pjreddie/darknet.git
51 lines
2.2 KiB
C
51 lines
2.2 KiB
C
#ifndef CONVOLUTIONAL_LAYER_H
|
|
#define CONVOLUTIONAL_LAYER_H
|
|
|
|
#include "cuda.h"
|
|
#include "image.h"
|
|
#include "activations.h"
|
|
#include "layer.h"
|
|
#include "network.h"
|
|
|
|
typedef layer convolutional_layer;
|
|
|
|
#ifdef GPU
|
|
void forward_convolutional_layer_gpu(convolutional_layer layer, network net);
|
|
void backward_convolutional_layer_gpu(convolutional_layer layer, network net);
|
|
void update_convolutional_layer_gpu(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay);
|
|
|
|
void push_convolutional_layer(convolutional_layer layer);
|
|
void pull_convolutional_layer(convolutional_layer layer);
|
|
|
|
void add_bias_gpu(float *output, float *biases, int batch, int n, int size);
|
|
void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
|
|
void adam_update_gpu(float *w, float *d, float *m, float *v, float B1, float B2, float eps, float decay, float rate, int n, int batch, int t);
|
|
#ifdef CUDNN
|
|
void cudnn_convolutional_setup(layer *l);
|
|
#endif
|
|
#endif
|
|
|
|
convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam);
|
|
void resize_convolutional_layer(convolutional_layer *layer, int w, int h);
|
|
void forward_convolutional_layer(const convolutional_layer layer, network net);
|
|
void update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay);
|
|
image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_weights);
|
|
void binarize_weights(float *weights, int n, int size, float *binary);
|
|
void swap_binary(convolutional_layer *l);
|
|
void binarize_weights2(float *weights, int n, int size, char *binary, float *scales);
|
|
|
|
void backward_convolutional_layer(convolutional_layer layer, network net);
|
|
|
|
void add_bias(float *output, float *biases, int batch, int n, int size);
|
|
void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
|
|
|
|
image get_convolutional_image(convolutional_layer layer);
|
|
image get_convolutional_delta(convolutional_layer layer);
|
|
image get_convolutional_weight(convolutional_layer layer, int i);
|
|
|
|
int convolutional_out_height(convolutional_layer layer);
|
|
int convolutional_out_width(convolutional_layer layer);
|
|
|
|
#endif
|
|
|