conv_lstm_layer.hpp File Reference

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Macros
#define	USET

Functions
layer	make_conv_lstm_layer (int batch, int h, int w, int c, int output_filters, int groups, int steps, int size, int stride, int dilation, int pad, ACTIVATION activation, int batch_normalize, int peephole, int xnor, int bottleneck, int train)
void	resize_conv_lstm_layer (layer *l, int w, int h)
void	free_state_conv_lstm (layer l)
void	randomize_state_conv_lstm (layer l)
void	remember_state_conv_lstm (layer l)
void	restore_state_conv_lstm (layer l)
void	forward_conv_lstm_layer (layer l, network_state state)
void	backward_conv_lstm_layer (layer l, network_state state)
void	update_conv_lstm_layer (layer l, int batch, float learning_rate, float momentum, float decay)
layer	make_history_layer (int batch, int h, int w, int c, int history_size, int steps, int train)
void	forward_history_layer (layer l, network_state state)
void	backward_history_layer (layer l, network_state state)
void	forward_conv_lstm_layer_gpu (layer l, network_state state)
void	backward_conv_lstm_layer_gpu (layer l, network_state state)
void	update_conv_lstm_layer_gpu (layer l, int batch, float learning_rate, float momentum, float decay, float loss_scale)
void	forward_history_layer_gpu (const layer l, network_state state)
void	backward_history_layer_gpu (const layer l, network_state state)

Macro Definition Documentation

USET

#define USET

Todo:

again?

Function Documentation

make_conv_lstm_layer()

layer make_conv_lstm_layer	(	int	batch,
		int	h,
		int	w,
		int	c,
		int	output_filters,
		int	groups,
		int	steps,
		int	size,
		int	stride,
		int	dilation,
		int	pad,
		ACTIVATION	activation,
		int	batch_normalize,
		int	peephole,
		int	xnor,
		int	bottleneck,
		int	train
	)

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resize_conv_lstm_layer()

void resize_conv_lstm_layer	(	layer *	l,
		int	w,
		int	h
	)

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free_state_conv_lstm()

void free_state_conv_lstm

(

layer

l

)

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randomize_state_conv_lstm()

void randomize_state_conv_lstm

(

layer

l

)

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remember_state_conv_lstm()

void remember_state_conv_lstm

(

layer

l

)

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restore_state_conv_lstm()

void restore_state_conv_lstm

(

layer

l

)

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forward_conv_lstm_layer()

void forward_conv_lstm_layer	(	layer	l,
		network_state	state
	)

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backward_conv_lstm_layer()

void backward_conv_lstm_layer	(	layer	l,
		network_state	state
	)

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update_conv_lstm_layer()

void update_conv_lstm_layer	(	layer	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay
	)

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make_history_layer()

layer make_history_layer	(	int	batch,
		int	h,
		int	w,
		int	c,
		int	history_size,
		int	steps,
		int	train
	)

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forward_history_layer()

void forward_history_layer	(	layer	l,
		network_state	state
	)

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backward_history_layer()

void backward_history_layer	(	layer	l,
		network_state	state
	)

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forward_conv_lstm_layer_gpu()

void forward_conv_lstm_layer_gpu	(	layer	l,
		network_state	state
	)

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backward_conv_lstm_layer_gpu()

void backward_conv_lstm_layer_gpu	(	layer	l,
		network_state	state
	)

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update_conv_lstm_layer_gpu()

void update_conv_lstm_layer_gpu	(	layer	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay,
		float	loss_scale
	)

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forward_history_layer_gpu()

void forward_history_layer_gpu	(	const layer	l,
		network_state	state
	)

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backward_history_layer_gpu()

void backward_history_layer_gpu	(	const layer	l,
		network_state	state
	)

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