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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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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2015-05-11 23:46:49 +03:00
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#include "layer.h"
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2015-12-14 22:57:10 +03:00
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#include "network.h"
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2013-11-04 23:11:01 +04:00
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2015-05-11 23:46:49 +03:00
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typedef layer convolutional_layer;
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2013-11-04 23:11:01 +04:00
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2014-05-10 02:14:52 +04:00
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#ifdef GPU
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2015-03-12 08:20:15 +03:00
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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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2015-03-22 19:56:40 +03:00
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void update_convolutional_layer_gpu(convolutional_layer layer, int batch, 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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2015-11-04 06:23:17 +03:00
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void add_bias_gpu(float *output, float *biases, int batch, int n, int size);
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2015-02-10 00:27:58 +03:00
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void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size);
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2014-05-10 02:14:52 +04:00
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#endif
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2016-01-28 23:30:38 +03:00
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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, int batch_normalization, int binary);
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2015-11-04 06:23:17 +03:00
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void denormalize_convolutional_layer(convolutional_layer l);
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2015-07-08 10:36:43 +03:00
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void resize_convolutional_layer(convolutional_layer *layer, int w, int h);
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2015-03-12 08:20:15 +03:00
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void forward_convolutional_layer(const convolutional_layer layer, network_state state);
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2015-03-22 19:56:40 +03:00
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void update_convolutional_layer(convolutional_layer layer, int batch, 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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2016-03-16 14:30:48 +03:00
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void binarize_filters(float *filters, int n, int size, float *binary);
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void swap_binary(convolutional_layer *l);
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void binarize_filters2(float *filters, int n, int size, char *binary, float *scales);
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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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2015-12-19 02:55:58 +03:00
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void add_bias(float *output, float *biases, int batch, int n, int size);
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2015-02-10 00:27:58 +03:00
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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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2014-01-28 11:16:56 +04:00
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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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2015-07-31 02:19:14 +03:00
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void rescale_filters(convolutional_layer l, float scale, float trans);
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void rgbgr_filters(convolutional_layer l);
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2015-01-23 03:38:24 +03:00
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2013-11-04 23:11:01 +04:00
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#endif
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