athena__activation_softmax Module

Module containing implementation of the softmax activation function

This module implements softmax for converting logits into probability distributions. Commonly used for multi-class classification.

Mathematical operation:

Properties: - Outputs sum to 1: - All outputs in range - Preserves ordering: - Translation invariant:

Derivative (Jacobian): where is the Kronecker delta


Uses


Interfaces

public interface softmax_actv_type

  • private function initialise(scale, attributes) result(activation)

    Initialise a softmax activation function

    Arguments

    Type IntentOptional Attributes Name
    real(kind=real32), intent(in), optional :: scale

    Optional scale factor for activation output
    type(onnx_attribute_type), intent(in), optional, dimension(:) :: attributes

    Optional array of ONNX attributes

    Return Value type(softmax_actv_type)

    Softmax activation type


Derived Types

type, public, extends(base_actv_type) ::  softmax_actv_type

Type for softmax activation function with overloaded procedures

Components

Type Visibility Attributes Name Initial
logical, public :: apply_scaling = .false.

Boolean to apply scaling or not
character(len=10), public :: name

Name of the activation function
real(kind=real32), public :: scale = 1._real32

Scale of the activation function
real(kind=real32), public :: threshold

Threshold of the activation function

Constructor

private function initialise (scale, attributes)

Initialise a softmax activation function

Type-Bound Procedures

procedure, public, pass(this) :: apply => apply_softmax
procedure, public, pass(this) :: apply_attributes => apply_attributes_softmax
procedure, public, pass(this) :: export_attributes => export_attributes_softmax
procedure, public, pass(this) :: print_to_unit => print_to_unit_actv
procedure, public, pass(this) :: reset => reset_softmax

Functions

public function create_from_onnx_softmax_activation(attributes) result(activation)

Create softmax activation function from ONNX attributes

Arguments

Type IntentOptional Attributes Name
type(onnx_attribute_type), intent(in), dimension(:) :: attributes

Array of ONNX attributes

Return Value class(base_actv_type), allocatable

Instance of activation type

private function apply_softmax(this, val) result(output)

Apply softmax activation to 1D array

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Arguments

Type IntentOptional Attributes Name
class(softmax_actv_type), intent(in) :: this

Softmax activation type
type(array_type), intent(in) :: val

Input values

Return Value type(array_type), pointer

Normalised probability distribution output

compute softmax values

private pure function export_attributes_softmax(this) result(attributes)

Export softmax activation function attributes as ONNX attributes

Arguments

Type IntentOptional Attributes Name
class(softmax_actv_type), intent(in) :: this

Softmax activation type

Return Value type(onnx_attribute_type), allocatable, dimension(:)

Array of ONNX attributes

private function initialise(scale, attributes) result(activation)

Initialise a softmax activation function

Arguments

Type IntentOptional Attributes Name
real(kind=real32), intent(in), optional :: scale

Optional scale factor for activation output
type(onnx_attribute_type), intent(in), optional, dimension(:) :: attributes

Optional array of ONNX attributes

Return Value type(softmax_actv_type)

Softmax activation type


Subroutines

private subroutine apply_attributes_softmax(this, attributes)

Load ONNX attributes into softmax activation function

Arguments

Type IntentOptional Attributes Name
class(softmax_actv_type), intent(inout) :: this

Softmax activation type
type(onnx_attribute_type), intent(in), dimension(:) :: attributes

Array of ONNX attributes

private pure subroutine reset_softmax(this)

Reset softmax activation function attributes and variables

Arguments

Type IntentOptional Attributes Name
class(softmax_actv_type), intent(inout) :: this

Softmax activation type