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

Inheritance diagram for opennn::ScaleOperator:

Public Member Functions
void	forward_propagate (ForwardPropagation &, size_t, ForwardPropagationMode) override

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

virtual vector< TensorSpec >	parameter_specs () const

virtual vector< TensorSpec >	state_specs () const

virtual vector< SlotQuantization >	parameter_quantization () const

virtual vector< ParameterSlot >	parameter_slots ()

virtual void	link_parameters (span< const TensorView > views)

virtual void	link_gradients (span< const TensorView > views)

virtual void	link_states (span< const TensorView >)

virtual void	link_parameter_scales (span< const TensorView >)

bool	link_slots (span< const TensorView > views, TensorView ParameterSlot::member)

virtual void	initialize_states ()

virtual void	set_weights_dtype (Type new_weights_dtype)

virtual void	set_parameters_random ()

virtual void	set_parameters_glorot ()

virtual void	set_parameters_pytorch ()

virtual void	back_propagate (ForwardPropagation &, BackPropagation &, size_t) const

virtual void	to_JSON (JsonWriter &) const

virtual void	from_JSON (const Json *)

virtual void	load_state_from_JSON (const Json *)

TensorView &	get_input (ForwardPropagation &forward_propagation, size_t layer, size_t slot_index=0) const noexcept

vector< TensorView > &	get_inputs (ForwardPropagation &forward_propagation, size_t layer) const noexcept

TensorView &	get_output (ForwardPropagation &forward_propagation, size_t layer, size_t slot_index=0) const noexcept

TensorView &	get_output_delta (BackPropagation &back_propagation, size_t layer, size_t slot_index=0) const noexcept

TensorView &	get_input_delta (BackPropagation &back_propagation, size_t layer, size_t slot_index=0) const noexcept

Public Attributes
bool	invert = false

float	min_range = -1.0f

float	max_range = 1.0f

TensorView	minimums

TensorView	maximums

TensorView	means

TensorView	standard_deviations

TensorView	scalers

Public Attributes inherited from opennn::Operator
Type	compute_dtype = Type::FP32

Type	weights_dtype = Type::FP32

vector< size_t >	input_slots = {0}

vector< size_t >	output_slots = {1}

vector< size_t >	input_delta_slots = {1}

vector< size_t >	output_delta_slots = {0}

Member Function Documentation

◆ forward_propagate()

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

overridevirtual

Reimplemented from opennn::Operator.

Member Data Documentation

◆ invert

bool opennn::ScaleOperator::invert = false

◆ max_range

float opennn::ScaleOperator::max_range = 1.0f

◆ maximums

TensorView opennn::ScaleOperator::maximums

◆ means

TensorView opennn::ScaleOperator::means

◆ min_range

float opennn::ScaleOperator::min_range = -1.0f

◆ minimums

TensorView opennn::ScaleOperator::minimums

◆ scalers

TensorView opennn::ScaleOperator::scalers

◆ standard_deviations

TensorView opennn::ScaleOperator::standard_deviations

Public Member Functions

Public Attributes