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51 lines
2.2 KiB
C
51 lines
2.2 KiB
C
#ifndef CONVOLUTIONAL_LAYER_H
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#define CONVOLUTIONAL_LAYER_H
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#include "cuda.h"
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#include "image.h"
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#include "activations.h"
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#include "layer.h"
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#include "network.h"
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typedef layer convolutional_layer;
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#ifdef GPU
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void forward_convolutional_layer_gpu(convolutional_layer layer, network net);
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void backward_convolutional_layer_gpu(convolutional_layer layer, network net);
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void update_convolutional_layer_gpu(convolutional_layer layer, update_args a);
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void push_convolutional_layer(convolutional_layer layer);
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void pull_convolutional_layer(convolutional_layer layer);
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void add_bias_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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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);
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#ifdef CUDNN
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void cudnn_convolutional_setup(layer *l);
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#endif
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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 groups, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam);
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void resize_convolutional_layer(convolutional_layer *layer, int w, int h);
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void forward_convolutional_layer(const convolutional_layer layer, network net);
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void update_convolutional_layer(convolutional_layer layer, update_args a);
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image *visualize_convolutional_layer(convolutional_layer layer, char *window, image *prev_weights);
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void binarize_weights(float *weights, int n, int size, float *binary);
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void swap_binary(convolutional_layer *l);
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void binarize_weights2(float *weights, int n, int size, char *binary, float *scales);
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void backward_convolutional_layer(convolutional_layer layer, network net);
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void add_bias(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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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_weight(convolutional_layer layer, int i);
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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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#endif
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