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opennn::Unscaling Class Referencefinal

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

Inheritance diagram for opennn::Unscaling:
opennn::Scaling opennn::Layer opennn::FeatureScalingEndpoint

Public Member Functions

 Unscaling (const Shape &={0}, const string &="unscaling_layer")
 
void set (Index=0, const string &="unscaling_layer")
 
void apply_input_shape (const Shape &) override
 
void read_JSON_body (const Json *) override
 
void write_JSON_body (JsonWriter &) const override
 
string write_expression (const vector< string > &, const vector< string > &) const override
 
- Public Member Functions inherited from opennn::Scaling
 Scaling (const Shape &={})
 
 Scaling (const Shape &, ScalerMethod)
 
Shape get_output_shape () const noexcept override
 
const vector< Descriptives > & get_descriptives () const noexcept
 
const vector< ScalerMethod > & get_scalers () const noexcept
 
VectorR get_minimums () const
 
VectorR get_maximums () const
 
VectorR get_means () const
 
VectorR get_standard_deviations () const
 
float get_min_range () const noexcept
 
float get_max_range () const noexcept
 
bool is_inverse () const noexcept
 
VariableRole get_scaling_role () const noexcept override
 
FeatureScaling get_feature_scaling () const override
 
void set (const Shape &={})
 
bool accepts_input_rank (Index rank) const override
 
bool skip_for_pre_scaled_input () const noexcept override
 
void set_descriptives (const vector< Descriptives > &)
 
void set_scalers (ScalerMethod)
 
void set_scalers (const vector< string > &)
 
void set_scalers (const string &)
 
void set_feature_scaling (const FeatureScaling &) override
 
bool is_passthrough () const
 
vector< TensorSpec > get_forward_specs (Index) const override
 
void forward_propagate (ForwardPropagation &, size_t, ForwardPropagationMode) override
 
float * link_states (float *, Device) 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 vector< TensorSpec > get_backward_specs (Index batch_size) const
 
virtual ForwardSlotKind get_forward_slot_kind (size_t) const
 
virtual bool is_forward_slot_inference_elidable (size_t, Device) const noexcept
 
virtual size_t get_recomputable_forward_slot () const noexcept
 
virtual void recompute_forward_slot (ForwardPropagation &, size_t)
 
virtual bool backward_uses_forward_output () const noexcept
 
virtual bool backward_uses_input (size_t) const noexcept
 
virtual bool preserves_output_delta_during_backward () const noexcept
 
virtual bool allows_input_delta_alias () const noexcept
 
virtual bool folds_input_delta_addend (size_t) const noexcept
 
virtual Shape get_input_shape () const noexcept
 
virtual ActivationFunction get_output_activation () const
 
virtual Index get_sources_number () const noexcept
 
virtual bool allows_successors () const noexcept
 
virtual bool is_recurrent () 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 on_loaded ()
 
virtual void load_state_from_JSON (const JsonDocument &)
 
virtual void to_JSON (JsonWriter &) 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 void on_compute_dtype_changed ()
 
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 ()
 
- Public Member Functions inherited from opennn::FeatureScalingEndpoint
virtual ~FeatureScalingEndpoint ()=default
 

Additional Inherited Members

- Protected Types inherited from opennn::Layer
enum  Forward { Input , Output }
 
- Protected Member Functions inherited from opennn::Scaling
 Scaling (LayerType, bool invert)
 
void refresh_op_storage (Device)
 
string write_scaling_expression (const vector< string > &, const vector< string > &, bool inverse) const
 
- 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::Scaling
static string affine_expression (string_view input, const AffineMap &)
 
- 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::Scaling
vector< Descriptives > descriptives
 
vector< ScalerMethod > scalers
 
float min_range = -1.0f
 
float max_range = 1.0f
 
Buffer op_storage
 
bool op_storage_dirty = true
 
ScaleOperator scale_op
 
- 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

◆ Unscaling()

opennn::Unscaling::Unscaling ( const Shape & = {0},
const string & = "unscaling_layer" )

Member Function Documentation

◆ apply_input_shape()

void opennn::Unscaling::apply_input_shape ( const Shape & )
overridevirtual

Reimplemented from opennn::Scaling.

◆ read_JSON_body()

void opennn::Unscaling::read_JSON_body ( const Json * )
overridevirtual

Reimplemented from opennn::Scaling.

◆ set()

void opennn::Unscaling::set ( Index = 0,
const string & = "unscaling_layer" )

◆ write_expression()

string opennn::Unscaling::write_expression ( const vector< string > & ,
const vector< string > &  ) const
overridevirtual

Reimplemented from opennn::Scaling.

◆ write_JSON_body()

void opennn::Unscaling::write_JSON_body ( JsonWriter & ) const
overridevirtual

Reimplemented from opennn::Scaling.