up new v4

Scheaven

2021-06-03 168af40fe9a3cc81c6ee16b3e81f154780c36bdb

 lib/detecter_tools/darknet/deconvolutional_layer.h

@@ -1,40 +1,40 @@
#ifndef DECONVOLUTIONAL_LAYER_H

#define DECONVOLUTIONAL_LAYER_H



#include "dark_cuda.h"

#include "image.h"

#include "activations.h"

#include "layer.h"

#include "network.h"



typedef layer deconvolutional_layer;



#ifdef __cplusplus

extern "C" {

#endif

#ifdef GPU

void forward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);

void backward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);

void update_deconvolutional_layer_gpu(deconvolutional_layer layer, int skip, float learning_rate, float momentum, float decay);

void push_deconvolutional_layer(deconvolutional_layer layer);

void pull_deconvolutional_layer(deconvolutional_layer layer);

#endif



deconvolutional_layer make_deconvolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, ACTIVATION activation);

void resize_deconvolutional_layer(deconvolutional_layer *layer, int h, int w);

void forward_deconvolutional_layer(const deconvolutional_layer layer, network_state state);

void update_deconvolutional_layer(deconvolutional_layer layer, int skip, float learning_rate, float momentum, float decay);

void backward_deconvolutional_layer(deconvolutional_layer layer, network_state state);



image get_deconvolutional_image(deconvolutional_layer layer);

image get_deconvolutional_delta(deconvolutional_layer layer);

image get_deconvolutional_filter(deconvolutional_layer layer, int i);



int deconvolutional_out_height(deconvolutional_layer layer);

int deconvolutional_out_width(deconvolutional_layer layer);



#ifdef __cplusplus

}

#endif



#endif

#ifndef DECONVOLUTIONAL_LAYER_H
#define DECONVOLUTIONAL_LAYER_H

#include "dark_cuda.h"
#include "image.h"
#include "activations.h"
#include "layer.h"
#include "network.h"

typedef layer deconvolutional_layer;

#ifdef __cplusplus
extern "C" {
#endif
#ifdef GPU
void forward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);
void backward_deconvolutional_layer_gpu(deconvolutional_layer layer, network_state state);
void update_deconvolutional_layer_gpu(deconvolutional_layer layer, int skip, float learning_rate, float momentum, float decay);
void push_deconvolutional_layer(deconvolutional_layer layer);
void pull_deconvolutional_layer(deconvolutional_layer layer);
#endif

deconvolutional_layer make_deconvolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, ACTIVATION activation);
void resize_deconvolutional_layer(deconvolutional_layer *layer, int h, int w);
void forward_deconvolutional_layer(const deconvolutional_layer layer, network_state state);
void update_deconvolutional_layer(deconvolutional_layer layer, int skip, float learning_rate, float momentum, float decay);
void backward_deconvolutional_layer(deconvolutional_layer layer, network_state state);

image get_deconvolutional_image(deconvolutional_layer layer);
image get_deconvolutional_delta(deconvolutional_layer layer);
image get_deconvolutional_filter(deconvolutional_layer layer, int i);

int deconvolutional_out_height(deconvolutional_layer layer);
int deconvolutional_out_width(deconvolutional_layer layer);

#ifdef __cplusplus
}
#endif

#endif