2013-11-04 23:11:01 +04:00
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#ifndef CONVOLUTIONAL_LAYER_H
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#define CONVOLUTIONAL_LAYER_H
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2015-01-23 03:38:24 +03:00
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#include "cuda.h"
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2015-03-12 08:20:15 +03:00
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#include "params.h"
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2013-11-04 23:11:01 +04:00
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#include "image.h"
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2013-11-13 22:50:38 +04:00
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#include "activations.h"
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2013-11-04 23:11:01 +04:00
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typedef struct {
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int batch;
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int h,w,c;
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int n;
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int size;
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int stride;
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2014-07-14 09:07:51 +04:00
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int pad;
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2014-01-29 04:28:42 +04:00
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float *filters;
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float *filter_updates;
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2014-01-29 04:28:42 +04:00
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float *biases;
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float *bias_updates;
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2014-01-29 04:28:42 +04:00
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float *col_image;
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float *delta;
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float *output;
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2013-11-13 22:50:38 +04:00
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2014-05-10 02:14:52 +04:00
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#ifdef GPU
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2015-01-23 03:38:24 +03:00
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float * filters_gpu;
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float * filter_updates_gpu;
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float * biases_gpu;
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float * bias_updates_gpu;
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2015-01-23 03:38:24 +03:00
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float * col_image_gpu;
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float * delta_gpu;
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float * output_gpu;
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#endif
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2013-12-03 04:41:40 +04:00
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ACTIVATION activation;
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2013-11-04 23:11:01 +04:00
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} convolutional_layer;
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#ifdef GPU
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void forward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
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void backward_convolutional_layer_gpu(convolutional_layer layer, network_state state);
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void update_convolutional_layer_gpu(convolutional_layer layer, float learning_rate, float momentum, float decay);
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2015-02-10 00:27:58 +03:00
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2014-10-25 22:57:26 +04:00
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void push_convolutional_layer(convolutional_layer layer);
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2015-01-13 04:27:08 +03:00
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void pull_convolutional_layer(convolutional_layer layer);
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2015-02-10 00:27:58 +03:00
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void bias_output_gpu(float *output, float *biases, int batch, int n, int size);
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void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
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#endif
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convolutional_layer *make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation);
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2015-02-11 06:41:03 +03:00
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void resize_convolutional_layer(convolutional_layer *layer, int h, int w);
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void forward_convolutional_layer(const convolutional_layer layer, network_state state);
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void update_convolutional_layer(convolutional_layer layer, float learning_rate, float momentum, float decay);
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2014-04-11 12:00:27 +04:00
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image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_filters);
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2014-01-28 11:16:56 +04:00
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2015-03-12 08:20:15 +03:00
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void backward_convolutional_layer(convolutional_layer layer, network_state state);
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2013-11-13 22:50:38 +04:00
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2015-02-10 00:27:58 +03:00
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void bias_output(float *output, float *biases, int batch, int n, int size);
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void backward_bias(float *bias_updates, float *delta, int batch, int n, int size);
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2013-11-13 22:50:38 +04:00
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image get_convolutional_image(convolutional_layer layer);
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image get_convolutional_delta(convolutional_layer layer);
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image get_convolutional_filter(convolutional_layer layer, int i);
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2013-11-04 23:11:01 +04:00
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2015-01-23 03:38:24 +03:00
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int convolutional_out_height(convolutional_layer layer);
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int convolutional_out_width(convolutional_layer layer);
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2013-11-04 23:11:01 +04:00
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#endif
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