#include "convolutional_layer.h"
#include "utils.h"
#include "batchnorm_layer.h"
#include "im2col.h"
#include "col2im.h"
#include "blas.h"
#include "gemm.h"
#include <stdio.h>
#include <time.h>

Include dependency graph for convolutional_layer.c:

Defines
#define	AI2 0
Functions
void	add_bias (float output, float biases, int batch, int n, int size)
void	backward_bias (float bias_updates, float delta, int batch, int n, int size)
void	backward_convolutional_layer (convolutional_layer l, network_state state)
void	binarize_cpu (float input, int n, float binary)
void	binarize_input (float input, int n, int size, float binary)
void	binarize_weights (float weights, int n, int size, float binary)
int	convolutional_out_height (convolutional_layer l)
int	convolutional_out_width (convolutional_layer l)
void	denormalize_convolutional_layer (convolutional_layer l)
void	forward_convolutional_layer (convolutional_layer l, network_state state)
void	forward_xnor_layer (layer l, network_state state)
image	get_convolutional_delta (convolutional_layer l)
image	get_convolutional_image (convolutional_layer l)
image	get_convolutional_weight (convolutional_layer l, int i)
image *	get_weights (convolutional_layer l)
size_t	get_workspace_size (layer l)
convolutional_layer	make_convolutional_layer (int batch, int h, int w, int c, int n, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam)
void	rescale_weights (convolutional_layer l, float scale, float trans)
void	resize_convolutional_layer (convolutional_layer *l, int w, int h)
void	rgbgr_weights (convolutional_layer l)
void	scale_bias (float output, float scales, int batch, int n, int size)
void	swap_binary (convolutional_layer *l)
void	test_convolutional_layer ()
void	update_convolutional_layer (convolutional_layer l, int batch, float learning_rate, float momentum, float decay)
image *	visualize_convolutional_layer (convolutional_layer l, char window, image prev_weights)

Define Documentation

#define AI2 0

Definition at line 16 of file convolutional_layer.c.

Function Documentation

void add_bias	(	float *	output,
		float *	biases,
		int	batch,
		int	n,
		int	size
	)

Definition at line 393 of file convolutional_layer.c.

void backward_bias	(	float *	bias_updates,
		float *	delta,
		int	batch,
		int	n,
		int	size
	)

Definition at line 417 of file convolutional_layer.c.

void backward_convolutional_layer	(	convolutional_layer	l,
		network_state	state
	)

Definition at line 468 of file convolutional_layer.c.

void binarize_cpu	(	float *	input,
		int	n,
		float *	binary
	)

Definition at line 48 of file convolutional_layer.c.

void binarize_input	(	float *	input,
		int	n,
		int	size,
		float *	binary
	)

Definition at line 56 of file convolutional_layer.c.

void binarize_weights	(	float *	weights,
		int	n,
		int	size,
		float *	binary
	)

Definition at line 33 of file convolutional_layer.c.

int convolutional_out_height ( convolutional_layer l )

Definition at line 71 of file convolutional_layer.c.

int convolutional_out_width ( convolutional_layer l )

Definition at line 76 of file convolutional_layer.c.

void denormalize_convolutional_layer ( convolutional_layer l )

Definition at line 313 of file convolutional_layer.c.

void forward_convolutional_layer	(	convolutional_layer	l,
		network_state	state
	)

Definition at line 427 of file convolutional_layer.c.

void forward_xnor_layer	(	layer	l,
		network_state	state
	)

image get_convolutional_delta ( convolutional_layer l )

Definition at line 90 of file convolutional_layer.c.

image get_convolutional_image ( convolutional_layer l )

Definition at line 81 of file convolutional_layer.c.

image get_convolutional_weight	(	convolutional_layer	l,
		int	i
	)

Definition at line 523 of file convolutional_layer.c.

image* get_weights ( convolutional_layer l )

Definition at line 555 of file convolutional_layer.c.

size_t get_workspace_size ( layer l )

Definition at line 99 of file convolutional_layer.c.

convolutional_layer make_convolutional_layer	(	int	batch,
		int	h,
		int	w,
		int	c,
		int	n,
		int	size,
		int	stride,
		int	padding,
		ACTIVATION	activation,
		int	batch_normalize,
		int	binary,
		int	xnor,
		int	adam
	)

Definition at line 174 of file convolutional_layer.c.

void rescale_weights	(	convolutional_layer	l,
		float	scale,
		float	trans
	)

Definition at line 542 of file convolutional_layer.c.

void resize_convolutional_layer	(	convolutional_layer *	l,
		int	w,
		int	h
	)

Definition at line 352 of file convolutional_layer.c.

void rgbgr_weights ( convolutional_layer l )

Definition at line 531 of file convolutional_layer.c.

void scale_bias	(	float *	output,
		float *	scales,
		int	batch,
		int	n,
		int	size
	)

Definition at line 405 of file convolutional_layer.c.

void swap_binary ( convolutional_layer * l )

Definition at line 20 of file convolutional_layer.c.

void test_convolutional_layer ( )

Definition at line 328 of file convolutional_layer.c.

void update_convolutional_layer	(	convolutional_layer	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay
	)

Definition at line 506 of file convolutional_layer.c.

image* visualize_convolutional_layer	(	convolutional_layer	l,
		char *	window,
		image *	prev_weights
	)

Definition at line 566 of file convolutional_layer.c.

Defines

Functions

Define Documentation

Function Documentation