neural_layer_upsample.h File Reference

An implementation of a 2D upsampling layer. More...

#include "neural_layer.h"

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Functions
void	neural_layer_upsample_init (struct Layer *l, const struct ArgsLayer *args)
	Initialises a 2D upsampling layer. More...
struct Layer *	neural_layer_upsample_copy (const struct Layer *src)
	Initialises and copies one upsampling layer from another. More...
void	neural_layer_upsample_rand (struct Layer *l)
	Dummy function since upsampling layers have no weights. More...
void	neural_layer_upsample_forward (const struct Layer *l, const struct Net *net, const double *input)
	Forward propagates an upsampling layer. More...
void	neural_layer_upsample_backward (const struct Layer *l, const struct Net *net, const double *input, double *delta)
	Backward propagates an upsampling layer. More...
void	neural_layer_upsample_update (const struct Layer *l)
	Dummy function since upsampling layers have no weights. More...
void	neural_layer_upsample_print (const struct Layer *l, const bool print_weights)
	Prints an upsampling layer. More...
bool	neural_layer_upsample_mutate (struct Layer *l)
	Dummy function since upsampling layers cannot be mutated. More...
void	neural_layer_upsample_free (const struct Layer *l)
	Free memory used by an upsampling layer. More...
double *	neural_layer_upsample_output (const struct Layer *l)
	Returns the output from an upsampling layer. More...
size_t	neural_layer_upsample_save (const struct Layer *l, FILE *fp)
	Writes an upsampling layer to a file. More...
size_t	neural_layer_upsample_load (struct Layer *l, FILE *fp)
	Reads an upsampling layer from a file. More...
void	neural_layer_upsample_resize (struct Layer *l, const struct Layer *prev)
	Resizes an upsampling layer if the previous layer has changed size. More...
char *	neural_layer_upsample_json_export (const struct Layer *l, const bool return_weights)
	Returns a json formatted string representation of an upsample layer. More...

Variables
static struct LayerVtbl const	layer_upsample_vtbl
	Neural upsampling layer implemented functions. More...

Detailed Description

An implementation of a 2D upsampling layer.

Author

Richard Preen rpree.nosp@m.n@gm.nosp@m.ail.c.nosp@m.om

Copyright

The Authors.

Date

2016–2021.

Definition in file neural_layer_upsample.h.

Function Documentation

neural_layer_upsample_backward()

void neural_layer_upsample_backward	(	const struct Layer *	l,
		const struct Net *	net,
		const double *	input,
		double *	delta
	)

Backward propagates an upsampling layer.

Parameters

[in]	l	The layer to backward propagate.
[in]	net	Network containing the layer.
[in]	input	The input to the layer.
[out]	delta	The previous layer's error.

Definition at line 156 of file neural_layer_upsample.c.

References Layer::c, Layer::channels, Layer::delta, Layer::h, Layer::height, Layer::i, Layer::stride, and Layer::width.

neural_layer_upsample_copy()

struct Layer* neural_layer_upsample_copy

(

const struct Layer *

src

)

Initialises and copies one upsampling layer from another.

Parameters

[in]

src

The source layer.

Returns

A pointer to the new layer.

Definition at line 88 of file neural_layer_upsample.c.

References Layer::channels, Layer::height, layer_defaults(), Layer::layer_vptr, malloc_layer_arrays(), Layer::max_outputs, Layer::n_inputs, Layer::n_outputs, Layer::out_c, Layer::out_h, Layer::out_w, Layer::stride, Layer::type, UPSAMPLE, and Layer::width.

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neural_layer_upsample_forward()

void neural_layer_upsample_forward	(	const struct Layer *	l,
		const struct Net *	net,
		const double *	input
	)

Forward propagates an upsampling layer.

Parameters

[in]	l	Layer to forward propagate.
[in]	net	Network containing the layer.
[in]	input	Input to the layer.

Definition at line 129 of file neural_layer_upsample.c.

References Layer::c, Layer::channels, Layer::h, Layer::height, Layer::i, Layer::output, Layer::stride, and Layer::width.

neural_layer_upsample_free()

void neural_layer_upsample_free

(

const struct Layer *

l

)

Free memory used by an upsampling layer.

Parameters

[in]

l

The layer to be freed.

Definition at line 56 of file neural_layer_upsample.c.

References free_layer_arrays().

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neural_layer_upsample_init()

void neural_layer_upsample_init	(	struct Layer *	l,
		const struct ArgsLayer *	args
	)

Initialises a 2D upsampling layer.

Parameters

[in]	l	Layer to initialise.
[in]	args	Parameters to initialise the layer.

Definition at line 67 of file neural_layer_upsample.c.

References Layer::channels, ArgsLayer::channels, Layer::height, ArgsLayer::height, malloc_layer_arrays(), Layer::max_outputs, Layer::n_inputs, Layer::n_outputs, Layer::out_c, Layer::out_h, Layer::out_w, Layer::stride, ArgsLayer::stride, Layer::width, and ArgsLayer::width.

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neural_layer_upsample_json_export()

char* neural_layer_upsample_json_export	(	const struct Layer *	l,
		const bool	return_weights
	)

Returns a json formatted string representation of an upsample layer.

Parameters

[in]	l	The layer to return.
[in]	return_weights	Whether to return the values of weights and biases.

Returns

String encoded in json format.

Definition at line 254 of file neural_layer_upsample.c.

References Layer::channels, Layer::height, Layer::n_inputs, Layer::n_outputs, Layer::stride, and Layer::width.

Referenced by neural_layer_upsample_print().

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neural_layer_upsample_load()

size_t neural_layer_upsample_load	(	struct Layer *	l,
		FILE *	fp
	)

Reads an upsampling layer from a file.

Parameters

[in]	l	The layer to load.
[in]	fp	Pointer to the file to be read.

Returns

The number of elements read.

Definition at line 301 of file neural_layer_upsample.c.

References Layer::channels, Layer::height, malloc_layer_arrays(), Layer::max_outputs, Layer::n_inputs, Layer::n_outputs, Layer::out_c, Layer::out_h, Layer::out_w, Layer::stride, and Layer::width.

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neural_layer_upsample_mutate()

bool neural_layer_upsample_mutate

(

struct Layer *

l

)

Dummy function since upsampling layers cannot be mutated.

Parameters

[in]

l

An upsampling layer.

Returns

False.

Definition at line 195 of file neural_layer_upsample.c.

neural_layer_upsample_output()

double* neural_layer_upsample_output

(

const struct Layer *

l

)

Returns the output from an upsampling layer.

Parameters

[in]

l

The layer whose output to return.

Returns

The layer output.

Definition at line 228 of file neural_layer_upsample.c.

References Layer::output.

neural_layer_upsample_print()

void neural_layer_upsample_print	(	const struct Layer *	l,
		const bool	print_weights
	)

Prints an upsampling layer.

Parameters

[in]	l	The layer to print.
[in]	print_weights	Whether to print the values of weights and biases.

Definition at line 239 of file neural_layer_upsample.c.

References neural_layer_upsample_json_export().

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neural_layer_upsample_rand()

void neural_layer_upsample_rand

(

struct Layer *

l

)

Dummy function since upsampling layers have no weights.

Parameters

[in]

l

An average pooling layer.

Definition at line 117 of file neural_layer_upsample.c.

neural_layer_upsample_resize()

void neural_layer_upsample_resize	(	struct Layer *	l,
		const struct Layer *	prev
	)

Resizes an upsampling layer if the previous layer has changed size.

Parameters

[in]	l	The layer to resize.
[in]	prev	The layer previous to the one being resized.

Definition at line 207 of file neural_layer_upsample.c.

References Layer::channels, free_layer_arrays(), Layer::height, malloc_layer_arrays(), Layer::max_outputs, Layer::n_inputs, Layer::n_outputs, Layer::out_c, Layer::out_h, Layer::out_w, Layer::stride, and Layer::width.

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neural_layer_upsample_save()

size_t neural_layer_upsample_save	(	const struct Layer *	l,
		FILE *	fp
	)

Writes an upsampling layer to a file.

Parameters

[in]	l	The layer to save.
[in]	fp	Pointer to the file to be written.

Returns

The number of elements written.

Definition at line 278 of file neural_layer_upsample.c.

References Layer::channels, Layer::height, Layer::max_outputs, Layer::n_inputs, Layer::n_outputs, Layer::out_c, Layer::out_h, Layer::out_w, Layer::stride, and Layer::width.

neural_layer_upsample_update()

void neural_layer_upsample_update

(

const struct Layer *

l

)

Dummy function since upsampling layers have no weights.

Parameters

[in]

l

An upsampling layer.

Definition at line 184 of file neural_layer_upsample.c.

Variable Documentation

layer_upsample_vtbl

struct LayerVtbl const layer_upsample_vtbl

static

Initial value:

= {
    &neural_layer_upsample_init,     &neural_layer_upsample_mutate,
    &neural_layer_upsample_resize,   &neural_layer_upsample_copy,
    &neural_layer_upsample_free,     &neural_layer_upsample_rand,
    &neural_layer_upsample_print,    &neural_layer_upsample_update,
    &neural_layer_upsample_backward, &neural_layer_upsample_forward,
    &neural_layer_upsample_output,   &neural_layer_upsample_save,
    &neural_layer_upsample_load,     &neural_layer_upsample_json_export
}

Neural upsampling layer implemented functions.

Definition at line 70 of file neural_layer_upsample.h.

Referenced by layer_set_vptr().