weights.cpp File Reference

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Functions
size_t	load_connected_weights (Darknet::Layer &l, FILE *fp, int transpose)
size_t	load_convolutional_weights (Darknet::Layer &l, FILE *fp)
DarknetNetworkPtr	load_network (const char *cfg, const char *weights, int clear)
DarknetNetworkPtr	load_network_custom (const char *cfg, const char *weights, int clear, int batch)
size_t	load_shortcut_weights (Darknet::Layer &l, FILE *fp)
void	load_weights (Darknet::Network *net, const char *filename)
void	load_weights_upto (Darknet::Network *net, const char *filename, int cutoff)
Darknet::Network	parse_network_cfg (const char *filename)
Darknet::Network	parse_network_cfg_custom (const char *filename, int batch, int time_steps)
void	save_batchnorm_weights (Darknet::Layer &l, FILE *fp)
void	save_connected_weights (Darknet::Layer &l, FILE *fp)
void	save_convolutional_weights (Darknet::Layer &l, FILE *fp)
void	save_convolutional_weights_binary (Darknet::Layer &l, FILE *fp)
void	save_convolutional_weights_ema (Darknet::Layer &l, FILE *fp)
void	save_shortcut_weights (Darknet::Layer &l, FILE *fp)
void	save_weights (const Darknet::Network &net, const char *filename)
void	save_weights_upto (const Darknet::Network &net, const char *filename, int cutoff, int save_ema)
void	transpose_matrix (float *a, int rows, int cols)

Function Documentation

load_connected_weights()

size_t load_connected_weights	(	Darknet::Layer &	l,
		FILE *	fp,
		int	transpose
	)

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load_convolutional_weights()

size_t load_convolutional_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

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load_network()

DarknetNetworkPtr load_network	(	const char *	cfg,
		const char *	weights,
		int	clear
	)

This is part of the original C API. Do not use in new code.

See also

darknet_load_neural_network()

Darknet::load_neural_network()

Todo:

V3 why do we not call fuse_conv_batchnorm() here?

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load_network_custom()

DarknetNetworkPtr load_network_custom	(	const char *	cfg,
		const char *	weights,
		int	clear,
		int	batch
	)

Todo:

V3 Some code seems to also call this next function, and some not. This was not originally called here, but I copied it from several other code locations. Need to invetigate whether or not it should be here. 2024-08-03

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load_shortcut_weights()

size_t load_shortcut_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

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load_weights()

void load_weights	(	Darknet::Network *	net,
		const char *	filename
	)

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load_weights_upto()

void load_weights_upto	(	Darknet::Network *	net,
		const char *	filename,
		int	cutoff
	)

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parse_network_cfg()

Darknet::Network parse_network_cfg

(

const char *

filename

)

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parse_network_cfg_custom()

Darknet::Network parse_network_cfg_custom	(	const char *	filename,
		int	batch,
		int	time_steps
	)

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save_batchnorm_weights()

void save_batchnorm_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

save_connected_weights()

void save_connected_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

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save_convolutional_weights()

void save_convolutional_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

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save_convolutional_weights_binary()

void save_convolutional_weights_binary	(	Darknet::Layer &	l,
		FILE *	fp
	)

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save_convolutional_weights_ema()

void save_convolutional_weights_ema	(	Darknet::Layer &	l,
		FILE *	fp
	)

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save_shortcut_weights()

void save_shortcut_weights	(	Darknet::Layer &	l,
		FILE *	fp
	)

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save_weights()

void save_weights	(	const Darknet::Network &	net,
		const char *	filename
	)

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save_weights_upto()

void save_weights_upto	(	const Darknet::Network &	net,
		const char *	filename,
		int	cutoff,
		int	save_ema
	)

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transpose_matrix()

void transpose_matrix	(	float *	a,
		int	rows,
		int	cols
	)

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