#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:

Functions
void	swap_binary (convolutional_layer *l)

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

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

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

int	convolutional_out_height (convolutional_layer l)

int	convolutional_out_width (convolutional_layer l)

image	get_convolutional_image (convolutional_layer l)

image	get_convolutional_delta (convolutional_layer l)

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)

void	denormalize_convolutional_layer (convolutional_layer l)

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

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

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

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

void	forward_convolutional_layer (convolutional_layer l, network net)

void	backward_convolutional_layer (convolutional_layer l, network net)

void	update_convolutional_layer (convolutional_layer l, update_args a)

image	get_convolutional_weight (convolutional_layer l, int i)

void	rgbgr_weights (convolutional_layer l)

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

image *	get_weights (convolutional_layer l)

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

Function Documentation

◆ add_bias()

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

Definition at line 411 of file convolutional_layer.c.

◆ backward_bias()

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

Definition at line 435 of file convolutional_layer.c.

◆ backward_convolutional_layer()

void backward_convolutional_layer	(	convolutional_layer	l,
		network	net
	)

Definition at line 487 of file convolutional_layer.c.

◆ binarize_cpu()

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

Definition at line 43 of file convolutional_layer.c.

◆ binarize_input()

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

Definition at line 51 of file convolutional_layer.c.

◆ binarize_weights()

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

Definition at line 28 of file convolutional_layer.c.

◆ convolutional_out_height()

int convolutional_out_height ( convolutional_layer l )

Definition at line 66 of file convolutional_layer.c.

◆ convolutional_out_width()

int convolutional_out_width ( convolutional_layer l )

Definition at line 71 of file convolutional_layer.c.

◆ denormalize_convolutional_layer()

void denormalize_convolutional_layer ( convolutional_layer l )

Definition at line 330 of file convolutional_layer.c.

◆ forward_convolutional_layer()

void forward_convolutional_layer	(	convolutional_layer	l,
		network	net
	)

Definition at line 445 of file convolutional_layer.c.

◆ get_convolutional_delta()

image get_convolutional_delta ( convolutional_layer l )

Definition at line 81 of file convolutional_layer.c.

◆ get_convolutional_image()

image get_convolutional_image ( convolutional_layer l )

Definition at line 76 of file convolutional_layer.c.

◆ get_convolutional_weight()

image get_convolutional_weight	(	convolutional_layer	l,
		int	i
	)

Definition at line 559 of file convolutional_layer.c.

◆ get_weights()

image* get_weights ( convolutional_layer l )

Definition at line 591 of file convolutional_layer.c.

◆ make_convolutional_layer()

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
	)

Definition at line 176 of file convolutional_layer.c.

◆ rescale_weights()

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

Definition at line 578 of file convolutional_layer.c.

◆ resize_convolutional_layer()

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

Definition at line 370 of file convolutional_layer.c.

◆ rgbgr_weights()

void rgbgr_weights ( convolutional_layer l )

Definition at line 567 of file convolutional_layer.c.

◆ scale_bias()

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

Definition at line 423 of file convolutional_layer.c.

◆ swap_binary()

void swap_binary ( convolutional_layer * l )

Definition at line 15 of file convolutional_layer.c.

◆ update_convolutional_layer()

void update_convolutional_layer	(	convolutional_layer	l,
		update_args	a
	)

Definition at line 538 of file convolutional_layer.c.

◆ visualize_convolutional_layer()

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

Definition at line 608 of file convolutional_layer.c.

Functions