shortcut_layer.cpp File Reference

Include dependency graph for shortcut_layer.cpp:

Functions
void	backward_shortcut_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	backward_shortcut_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_shortcut_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	forward_shortcut_layer_gpu (Darknet::Layer &l, Darknet::NetworkState state)
Darknet::Layer	make_shortcut_layer (int batch, int n, int *input_layers, int *input_sizes, int w, int h, int c, float **layers_output, float **layers_delta, float **layers_output_gpu, float **layers_delta_gpu, WEIGHTS_TYPE_T weights_type, WEIGHTS_NORMALIZATION_T weights_normalization, ACTIVATION activation, int train)
void	pull_shortcut_layer (Darknet::Layer &l)
void	push_shortcut_layer (Darknet::Layer &l)
void	resize_shortcut_layer (Darknet::Layer *l, int w, int h, Darknet::Network *net)
void	update_shortcut_layer (Darknet::Layer &l, int batch, float learning_rate_init, float momentum, float decay)
void	update_shortcut_layer_gpu (Darknet::Layer &l, int batch, float learning_rate_init, float momentum, float decay, float loss_scale)

Function Documentation

backward_shortcut_layer()

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

Here is the call graph for this function:

Here is the caller graph for this function:

backward_shortcut_layer_gpu()

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

Here is the call graph for this function:

Here is the caller graph for this function:

forward_shortcut_layer()

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

Here is the call graph for this function:

Here is the caller graph for this function:

forward_shortcut_layer_gpu()

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

Here is the call graph for this function:

Here is the caller graph for this function:

make_shortcut_layer()

Darknet::Layer make_shortcut_layer	(	int	batch,
		int	n,
		int *	input_layers,
		int *	input_sizes,
		int	w,
		int	h,
		int	c,
		float **	layers_output,
		float **	layers_delta,
		float **	layers_output_gpu,
		float **	layers_delta_gpu,
		WEIGHTS_TYPE_T	weights_type,
		WEIGHTS_NORMALIZATION_T	weights_normalization,
		ACTIVATION	activation,
		int	train
	)

Here is the call graph for this function:

Here is the caller graph for this function:

pull_shortcut_layer()

void pull_shortcut_layer

(

Darknet::Layer &

l

)

Here is the call graph for this function:

Here is the caller graph for this function:

push_shortcut_layer()

void push_shortcut_layer

(

Darknet::Layer &

l

)

Here is the call graph for this function:

Here is the caller graph for this function:

resize_shortcut_layer()

void resize_shortcut_layer	(	Darknet::Layer *	l,
		int	w,
		int	h,
		Darknet::Network *	net
	)

Here is the call graph for this function:

Here is the caller graph for this function:

update_shortcut_layer()

void update_shortcut_layer	(	Darknet::Layer &	l,
		int	batch,
		float	learning_rate_init,
		float	momentum,
		float	decay
	)

Here is the call graph for this function:

Here is the caller graph for this function:

update_shortcut_layer_gpu()

void update_shortcut_layer_gpu	(	Darknet::Layer &	l,
		int	batch,
		float	learning_rate_init,
		float	momentum,
		float	decay,
		float	loss_scale
	)

Here is the call graph for this function:

Here is the caller graph for this function: