rnn_layer.cpp File Reference

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Functions
void	backward_rnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	backward_rnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_rnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_rnn_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
static void	increment_layer (Darknet::Layer *l, int steps)
Darknet::Layer	make_rnn_layer (int batch, int inputs, int hidden, int outputs, int steps, ACTIVATION activation, int batch_normalize, int log)
void	pull_rnn_layer (Darknet::Layer &l)
void	push_rnn_layer (Darknet::Layer &l)
void	update_rnn_layer (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay)
void	update_rnn_layer_gpu (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay, float loss_scale)

Function Documentation

backward_rnn_layer()

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

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backward_rnn_layer_gpu()

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

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forward_rnn_layer()

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

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forward_rnn_layer_gpu()

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

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increment_layer()

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

static

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make_rnn_layer()

Darknet::Layer make_rnn_layer	(	int	batch,
		int	inputs,
		int	hidden,
		int	outputs,
		int	steps,
		ACTIVATION	activation,
		int	batch_normalize,
		int	log
	)

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pull_rnn_layer()

void pull_rnn_layer

(

Darknet::Layer &

l

)

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push_rnn_layer()

void push_rnn_layer

(

Darknet::Layer &

l

)

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update_rnn_layer()

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

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update_rnn_layer_gpu()

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

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