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

#include "neural_layer_upsample.h"
#include "neural_activations.h"
#include "utils.h"

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Functions
static void	malloc_layer_arrays (struct Layer *l)
	Allocate memory used by an upsampling layer.

static void	free_layer_arrays (const struct Layer *l)
	Free memory used by an upsampling layer.

void	neural_layer_upsample_free (const struct Layer *l)
	Free memory used by an upsampling layer.

void	neural_layer_upsample_init (struct Layer l, const struct ArgsLayer args)
	Initialises a 2D upsampling layer.

struct Layer *	neural_layer_upsample_copy (const struct Layer *src)
	Initialises and copies one upsampling layer from another.

void	neural_layer_upsample_rand (struct Layer *l)
	Dummy function since upsampling layers have no weights.

void	neural_layer_upsample_forward (const struct Layer l, const struct Net net, const double *input)
	Forward propagates an upsampling layer.

void	neural_layer_upsample_backward (const struct Layer l, const struct Net net, const double input, double delta)
	Backward propagates an upsampling layer.

void	neural_layer_upsample_update (const struct Layer *l)
	Dummy function since upsampling layers have no weights.

bool	neural_layer_upsample_mutate (struct Layer *l)
	Dummy function since upsampling layers cannot be mutated.

void	neural_layer_upsample_resize (struct Layer l, const struct Layer prev)
	Resizes an upsampling layer if the previous layer has changed size.

double *	neural_layer_upsample_output (const struct Layer *l)
	Returns the output from an upsampling layer.

void	neural_layer_upsample_print (const struct Layer *l, const bool print_weights)
	Prints an upsampling layer.

char *	neural_layer_upsample_json_export (const struct Layer *l, const bool return_weights)
	Returns a json formatted string representation of an upsample layer.

size_t	neural_layer_upsample_save (const struct Layer l, FILE fp)
	Writes an upsampling layer to a file.

size_t	neural_layer_upsample_load (struct Layer l, FILE fp)
	Reads an upsampling layer from a file.

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.c.

Function Documentation

◆ free_layer_arrays()

static void free_layer_arrays ( const struct Layer * l )

static

Free memory used by an upsampling layer.

Parameters

[in] l The layer to be freed.

Definition at line 45 of file neural_layer_upsample.c.

References Layer::delta, and Layer::output.

Referenced by neural_layer_upsample_free(), and neural_layer_upsample_resize().

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◆ malloc_layer_arrays()

static void malloc_layer_arrays ( struct Layer * l )

static

Allocate memory used by an upsampling layer.

Parameters

[in] l The layer to be allocated memory.

Definition at line 33 of file neural_layer_upsample.c.

References Layer::delta, layer_guard_outputs(), Layer::n_outputs, and Layer::output.

Referenced by neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_load(), and neural_layer_upsample_resize().

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◆ 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.

Functions

Detailed Description

Function Documentation

◆ free_layer_arrays()

◆ malloc_layer_arrays()

◆ neural_layer_upsample_backward()

◆ neural_layer_upsample_copy()

◆ neural_layer_upsample_forward()

◆ neural_layer_upsample_free()

◆ neural_layer_upsample_init()

◆ neural_layer_upsample_json_export()

◆ neural_layer_upsample_load()

◆ neural_layer_upsample_mutate()

◆ neural_layer_upsample_output()

◆ neural_layer_upsample_print()

◆ neural_layer_upsample_rand()

◆ neural_layer_upsample_resize()

◆ neural_layer_upsample_save()

◆ neural_layer_upsample_update()