deconvolutional_layer.h

#ifndef DECONVOLUTIONAL_LAYER_H
#define DECONVOLUTIONAL_LAYER_H

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

typedef layer deconvolutional_layer;

#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, 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, 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);

#endif