crnn_layer.cpp File Reference

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Functions
void	backward_crnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	backward_crnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_crnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_crnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
void	free_state_crnn (Darknet::Layer &l)
static void	increment_layer (Darknet::Layer *l, int steps)
Darknet::Layer	make_crnn_layer (int batch, int h, int w, int c, int hidden_filters, int output_filters, int groups, int steps, int size, int stride, int dilation, int pad, ACTIVATION activation, int batch_normalize, int xnor, int train)
void	pull_crnn_layer (Darknet::Layer &l)
void	push_crnn_layer (Darknet::Layer &l)
void	resize_crnn_layer (Darknet::Layer *l, int w, int h)
void	update_crnn_layer (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay)
void	update_crnn_layer_gpu (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay, float loss_scale)

Function Documentation

backward_crnn_layer()

void backward_crnn_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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backward_crnn_layer_gpu()

void backward_crnn_layer_gpu	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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forward_crnn_layer()

void forward_crnn_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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forward_crnn_layer_gpu()

void forward_crnn_layer_gpu	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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free_state_crnn()

void free_state_crnn

(

Darknet::Layer &

l

)

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increment_layer()

static void increment_layer ( Darknet::Layer *  l, int  steps  )

static

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make_crnn_layer()

Darknet::Layer make_crnn_layer	(	int	batch,
		int	h,
		int	w,
		int	c,
		int	hidden_filters,
		int	output_filters,
		int	groups,
		int	steps,
		int	size,
		int	stride,
		int	dilation,
		int	pad,
		ACTIVATION	activation,
		int	batch_normalize,
		int	xnor,
		int	train
	)

Todo:

V3 get rid of these unecessary xcalloc()?

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pull_crnn_layer()

void pull_crnn_layer

(

Darknet::Layer &

l

)

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push_crnn_layer()

void push_crnn_layer

(

Darknet::Layer &

l

)

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resize_crnn_layer()

void resize_crnn_layer	(	Darknet::Layer *	l,
		int	w,
		int	h
	)

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update_crnn_layer()

void update_crnn_layer	(	Darknet::Layer &	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay
	)

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update_crnn_layer_gpu()

void update_crnn_layer_gpu	(	Darknet::Layer &	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay,
		float	loss_scale
	)

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