#include <opennn/network/layers/convolutional_layer.h>

Inheritance diagram for opennn::Convolutional:

Public Member Functions
	Convolutional (const Shape &={3, 3, 1}, const Shape &={3, 3, 1, 1}, const string &="Identity", const Shape &={1, 1}, const string &="Valid", BatchNormalization=BatchNormalization::No, const string &="convolutional_layer")

Shape	get_input_shape () const noexcept override

Shape	get_output_shape () const override

Index	get_output_height () const

Index	get_output_width () const

Index	get_kernel_height () const noexcept

Index	get_kernel_width () const noexcept

Index	get_kernel_channels () const noexcept

Index	get_kernels_number () const noexcept

Index	get_row_stride () const noexcept

Index	get_column_stride () const noexcept

Index	get_padding_height () const

Index	get_padding_width () const

ActivationFunction	get_activation_function () const noexcept

ActivationFunction	get_output_activation () const noexcept override

bool	get_batch_normalization () const

void	get_folded_parameters (vector< float > &kernel_oihw, vector< float > &bias) const

bool	get_residual () const noexcept

Index	get_sources_number () const noexcept override

void	set_residual (bool new_residual)

vector< TensorSpec >	get_forward_specs (Index) const override

vector< TensorSpec >	get_backward_specs (Index) const override

bool	backward_uses_forward_output () const noexcept override

bool	backward_uses_input (size_t input) const noexcept override

ForwardSlotKind	get_forward_slot_kind (size_t slot) const override

bool	is_forward_slot_inference_elidable (size_t slot, Device device) const noexcept override

bool	folds_input_delta_addend (size_t input) const noexcept override

size_t	get_recomputable_forward_slot () const noexcept override

void	recompute_forward_slot (ForwardPropagation &, size_t) override

void	set (const Shape &={0, 0, 0}, const Shape &={3, 3, 1, 1}, const string &="Identity", const Shape &={1, 1}, const string &="Valid", BatchNormalization=BatchNormalization::No, const string &="convolutional_layer")

bool	accepts_input_rank (Index rank) const override

void	apply_input_shape (const Shape &) override

void	on_compute_dtype_changed () override

void	set_activation_function (const string &)

void	set_batch_normalization (bool new_batch_normalization)

void	load_darknet_weights (FILE *)

void	load_onnx_folded_conv_bn (const float kernel_nchw, const float folded_bias)

void	load_onnx_conv_bias (const float bias, const float kernel_nchw)

void	reinit_onnx_cls_out (float prior_bias)

void	read_JSON_body (const Json *) override

void	write_JSON_body (JsonWriter &) const override

void	on_loaded () override

void	forward_propagate (ForwardPropagation &, size_t, ForwardPropagationMode) override

Public Member Functions inherited from opennn::Layer
virtual	~Layer ()=default

const string &	get_label () const noexcept

const string &	get_name () const

LayerType	get_type () const noexcept

void	set_input_shape (const Shape &new_input_shape)

virtual void	set_output_shape (const Shape &)

void	set_label (string new_label)

Index	get_parameters_number () const

const vector< Operator * > &	get_operators () const noexcept

virtual vector< TensorSpec >	get_parameter_specs () const

virtual vector< TensorSpec >	get_state_specs () const

virtual bool	preserves_output_delta_during_backward () const noexcept

virtual bool	allows_input_delta_alias () const noexcept

virtual bool	allows_successors () const noexcept

virtual bool	is_recurrent () const noexcept

virtual bool	skip_for_pre_scaled_input () const noexcept

virtual bool	uses_sequence_position () const noexcept

virtual bool	allows_bf16_input_cast (size_t) const noexcept

Index	get_inputs_number () const noexcept

Index	get_outputs_number () const

virtual void	back_propagate (ForwardPropagation &forward_propagation, BackPropagation &back_propagation, size_t i) const

virtual void	from_JSON (const JsonDocument &)

virtual void	load_state_from_JSON (const JsonDocument &)

virtual void	to_JSON (JsonWriter &) const

virtual string	write_expression (const vector< string > &, const vector< string > &) const

bool	get_is_trainable () const noexcept

void	set_is_trainable (bool trainable)

Type	get_compute_dtype () const noexcept

Device	get_compute_device () const noexcept

void	set_compute_dtype (Type new_compute_dtype)

void	set_compute_device (Device new_compute_device)

virtual float *	link_states (float *, Device)

float *	link_gradients (float *, Device)

vector< TensorView > &	get_parameter_views ()

const vector< TensorView > &	get_parameter_views () const noexcept

vector< TensorView > &	get_parameter_scales ()

const vector< TensorView > &	get_parameter_scales () const noexcept

vector< Operator::SlotQuantization >	get_parameter_quantization () const

virtual TiedWeight	get_tied_weight () const

virtual void	set_tied_weight (const TiedWeight &tied_weight)

void	redistribute_parameters_to_operators ()

Additional Inherited Members
Protected Types inherited from opennn::Layer
enum	Forward { Input , Output }

Protected Member Functions inherited from opennn::Layer
	Layer (LayerType type, Trainability trainability=Trainability::Trainable)

float *	link_views_to_operators (vector< TensorView > &, float , vector< TensorSpec >(Operator::specs_fn)() const, void(Operator::*link_fn)(span< const TensorView >), Device)

Static Protected Member Functions inherited from opennn::Layer
static bool	refresh_feature_storage (Buffer &storage, bool &dirty, Device device, Index features, Index columns, const function< void(float *)> &fill)

Protected Attributes inherited from opennn::Layer
string	label = "my_layer"

bool	is_trainable = true

Shape	input_shape

Type	compute_dtype = Type::FP32

Type	weights_dtype = Type::FP32

Device	compute_device = Device::CPU

vector< TensorView >	parameters

vector< TensorView >	parameter_scales

vector< TensorView >	states

vector< Operator * >	operators

Constructor & Destructor Documentation

◆ Convolutional()

opennn::Convolutional::Convolutional	(	const Shape &	= {3, 3, 1},
		const Shape &	= {3, 3, 1, 1},
		const string &	= "Identity",
		const Shape &	= {1, 1},
		const string &	= "Valid",
		BatchNormalization	= BatchNormalization::No,
		const string &	= "convolutional_layer" )

Member Function Documentation

◆ accepts_input_rank()

bool opennn::Convolutional::accepts_input_rank ( Index rank ) const

inlineoverridevirtual

Reimplemented from opennn::Layer.

◆ apply_input_shape()

void opennn::Convolutional::apply_input_shape ( const Shape & )

overridevirtual

Reimplemented from opennn::Layer.

◆ backward_uses_forward_output()

bool opennn::Convolutional::backward_uses_forward_output ( ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ backward_uses_input()

bool opennn::Convolutional::backward_uses_input ( size_t input ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ folds_input_delta_addend()

bool opennn::Convolutional::folds_input_delta_addend ( size_t input ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ forward_propagate()

void opennn::Convolutional::forward_propagate	(	ForwardPropagation &	,
		size_t	,
		ForwardPropagationMode	)

overridevirtual

Reimplemented from opennn::Layer.

◆ get_activation_function()

ActivationFunction opennn::Convolutional::get_activation_function ( ) const

inlinenoexcept

◆ get_backward_specs()

vector< TensorSpec > opennn::Convolutional::get_backward_specs ( Index ) const

overridevirtual

Reimplemented from opennn::Layer.

◆ get_batch_normalization()

bool opennn::Convolutional::get_batch_normalization ( ) const

inline

◆ get_column_stride()

Index opennn::Convolutional::get_column_stride ( ) const

inlinenoexcept

◆ get_folded_parameters()

void opennn::Convolutional::get_folded_parameters	(	vector< float > &	kernel_oihw,
		vector< float > &	bias ) const

◆ get_forward_slot_kind()

ForwardSlotKind opennn::Convolutional::get_forward_slot_kind ( size_t slot ) const

inlineoverridevirtual

Reimplemented from opennn::Layer.

◆ get_forward_specs()

vector< TensorSpec > opennn::Convolutional::get_forward_specs ( Index ) const

overridevirtual

Reimplemented from opennn::Layer.

◆ get_input_shape()

Shape opennn::Convolutional::get_input_shape ( ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ get_kernel_channels()

Index opennn::Convolutional::get_kernel_channels ( ) const

inlinenoexcept

◆ get_kernel_height()

Index opennn::Convolutional::get_kernel_height ( ) const

inlinenoexcept

◆ get_kernel_width()

Index opennn::Convolutional::get_kernel_width ( ) const

inlinenoexcept

◆ get_kernels_number()

Index opennn::Convolutional::get_kernels_number ( ) const

inlinenoexcept

◆ get_output_activation()

ActivationFunction opennn::Convolutional::get_output_activation ( ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ get_output_height()

Index opennn::Convolutional::get_output_height ( ) const

◆ get_output_shape()

Shape opennn::Convolutional::get_output_shape ( ) const

overridevirtual

Implements opennn::Layer.

◆ get_output_width()

Index opennn::Convolutional::get_output_width ( ) const

◆ get_padding_height()

Index opennn::Convolutional::get_padding_height ( ) const

◆ get_padding_width()

Index opennn::Convolutional::get_padding_width ( ) const

◆ get_recomputable_forward_slot()

size_t opennn::Convolutional::get_recomputable_forward_slot ( ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ get_residual()

bool opennn::Convolutional::get_residual ( ) const

inlinenoexcept

◆ get_row_stride()

Index opennn::Convolutional::get_row_stride ( ) const

inlinenoexcept

◆ get_sources_number()

Index opennn::Convolutional::get_sources_number ( ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ is_forward_slot_inference_elidable()

bool opennn::Convolutional::is_forward_slot_inference_elidable	(	size_t	slot,
		Device	device ) const

inlineoverridevirtualnoexcept

Reimplemented from opennn::Layer.

◆ load_darknet_weights()

void opennn::Convolutional::load_darknet_weights ( FILE * )

◆ load_onnx_conv_bias()

void opennn::Convolutional::load_onnx_conv_bias	(	const float *	bias,
		const float *	kernel_nchw )

◆ load_onnx_folded_conv_bn()

void opennn::Convolutional::load_onnx_folded_conv_bn	(	const float *	kernel_nchw,
		const float *	folded_bias )

◆ on_compute_dtype_changed()

void opennn::Convolutional::on_compute_dtype_changed ( )

inlineoverridevirtual

Reimplemented from opennn::Layer.

◆ on_loaded()

void opennn::Convolutional::on_loaded ( )

inlineoverridevirtual

Reimplemented from opennn::Layer.

◆ read_JSON_body()

void opennn::Convolutional::read_JSON_body ( const Json * )

overridevirtual

Reimplemented from opennn::Layer.

◆ recompute_forward_slot()

void opennn::Convolutional::recompute_forward_slot	(	ForwardPropagation &	,
		size_t	)

overridevirtual

Reimplemented from opennn::Layer.

◆ reinit_onnx_cls_out()

void opennn::Convolutional::reinit_onnx_cls_out ( float prior_bias )

◆ set()

void opennn::Convolutional::set	(	const Shape &	= {0, 0, 0},
		const Shape &	= {3, 3, 1, 1},
		const string &	= "Identity",
		const Shape &	= {1, 1},
		const string &	= "Valid",
		BatchNormalization	= BatchNormalization::No,
		const string &	= "convolutional_layer" )

◆ set_activation_function()

void opennn::Convolutional::set_activation_function ( const string & )

◆ set_batch_normalization()

void opennn::Convolutional::set_batch_normalization ( bool new_batch_normalization )

◆ set_residual()

void opennn::Convolutional::set_residual ( bool new_residual )

◆ write_JSON_body()

void opennn::Convolutional::write_JSON_body ( JsonWriter & ) const

overridevirtual

Reimplemented from opennn::Layer.

Public Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ Convolutional()

Member Function Documentation

◆ accepts_input_rank()

◆ apply_input_shape()

◆ backward_uses_forward_output()

◆ backward_uses_input()

◆ folds_input_delta_addend()

◆ forward_propagate()

◆ get_activation_function()

◆ get_backward_specs()

◆ get_batch_normalization()

◆ get_column_stride()

◆ get_folded_parameters()

◆ get_forward_slot_kind()

◆ get_forward_specs()

◆ get_input_shape()

◆ get_kernel_channels()

◆ get_kernel_height()

◆ get_kernel_width()

◆ get_kernels_number()

◆ get_output_activation()

◆ get_output_height()

◆ get_output_shape()

◆ get_output_width()

◆ get_padding_height()

◆ get_padding_width()

◆ get_recomputable_forward_slot()

◆ get_residual()

◆ get_row_stride()

◆ get_sources_number()

◆ is_forward_slot_inference_elidable()

◆ load_darknet_weights()

◆ load_onnx_conv_bias()

◆ load_onnx_folded_conv_bn()

◆ on_compute_dtype_changed()

◆ on_loaded()

◆ read_JSON_body()

◆ recompute_forward_slot()

◆ reinit_onnx_cls_out()

◆ set()

◆ set_activation_function()

◆ set_batch_normalization()

◆ set_residual()

◆ write_JSON_body()