metadata_m Module


Uses

  • module~~metadata_m~~UsesGraph module~metadata_m metadata_m julienne_string_m julienne_string_m module~metadata_m->julienne_string_m module~double_precision_string_m double_precision_string_m module~metadata_m->module~double_precision_string_m julienne_m julienne_m module~double_precision_string_m->julienne_m

Used by

  • module~~metadata_m~~UsedByGraph module~metadata_m metadata_m module~fiats_m fiats_m module~fiats_m->module~metadata_m module~neural_network_m neural_network_m module~fiats_m->module~neural_network_m module~trainable_network_m trainable_network_m module~fiats_m->module~trainable_network_m module~layer_m layer_m module~layer_m->module~metadata_m module~layer_m->module~neural_network_m module~metadata_s metadata_s module~metadata_s->module~metadata_m module~neural_network_m->module~metadata_m module~addition_m addition_m module~addition_m->module~fiats_m module~exponentiation_m exponentiation_m module~exponentiation_m->module~fiats_m module~layer_s layer_s module~layer_s->module~layer_m module~multiply_inputs multiply_inputs module~multiply_inputs->module~fiats_m module~neural_network_s neural_network_s module~neural_network_s->module~layer_m module~neural_network_s->module~neural_network_m module~power_series power_series module~power_series->module~fiats_m module~saturated_mixing_ratio_m saturated_mixing_ratio_m module~saturated_mixing_ratio_m->module~fiats_m module~trainable_network_m->module~neural_network_m module~unmapped_network_s unmapped_network_s module~unmapped_network_s->module~neural_network_m module~workspace_s workspace_s module~workspace_s->module~neural_network_m program~concurrent_inferences concurrent_inferences program~concurrent_inferences->module~fiats_m program~learn_addition learn_addition program~learn_addition->module~fiats_m program~learn_addition->module~addition_m program~learn_exponentiation learn_exponentiation program~learn_exponentiation->module~fiats_m program~learn_exponentiation->module~exponentiation_m program~learn_multiplication learn_multiplication program~learn_multiplication->module~fiats_m program~learn_multiplication->module~multiply_inputs program~learn_power_series learn_power_series program~learn_power_series->module~fiats_m program~learn_power_series->module~power_series program~print_training_configuration print_training_configuration program~print_training_configuration->module~fiats_m program~read_query_infer read_query_infer program~read_query_infer->module~fiats_m program~train_and_write train_and_write program~train_and_write->module~fiats_m program~train_saturated_mixture_ratio train_saturated_mixture_ratio program~train_saturated_mixture_ratio->module~fiats_m program~train_saturated_mixture_ratio->module~saturated_mixing_ratio_m program~write_read_infer write_read_infer program~write_read_infer->module~fiats_m module~trainable_network_s trainable_network_s module~trainable_network_s->module~trainable_network_m

Interfaces

public interface metadata_t

  • private pure module function double_precision_from_json(lines) result(metadata)

    Arguments

    Type IntentOptional Attributes Name
    type(double_precision_string_t), intent(in) :: lines(:)

    Return Value type(metadata_t)

  • private pure module function from_components(modelName, modelAuthor, compilationDate, activationFunction, usingSkipConnections) result(metadata)

    Arguments

    Type IntentOptional Attributes Name
    type(string_t), intent(in) :: modelName
    type(string_t), intent(in) :: modelAuthor
    type(string_t), intent(in) :: compilationDate
    type(string_t), intent(in) :: activationFunction
    type(string_t), intent(in) :: usingSkipConnections

    Return Value type(metadata_t)

  • private pure module function from_json(lines) result(metadata)

    Arguments

    Type IntentOptional Attributes Name
    type(string_t), intent(in) :: lines(:)

    Return Value type(metadata_t)

interface

  • private pure module function activation_name(self) result(function_name)

    Arguments

    Type IntentOptional Attributes Name
    class(metadata_t), intent(in) :: self

    Return Value type(string_t)

interface

  • private elemental module function equals(lhs, rhs) result(lhs_equals_rhs)

    Arguments

    Type IntentOptional Attributes Name
    class(metadata_t), intent(in) :: lhs
    class(metadata_t), intent(in) :: rhs

    Return Value logical

interface

  • private pure module function strings(self) result(components)

    Arguments

    Type IntentOptional Attributes Name
    class(metadata_t), intent(in) :: self

    Return Value type(string_t), allocatable, (:)

interface

  • private pure module function to_json(self) result(lines)

    Arguments

    Type IntentOptional Attributes Name
    class(metadata_t), intent(in) :: self

    Return Value type(string_t), allocatable, (:)


Derived Types

type, public ::  metadata_t

Components

Type Visibility Attributes Name Initial
type(string_t), private :: activationFunction_
type(string_t), private :: compilationDate_
type(string_t), private :: modelAuthor_
type(string_t), private :: modelName_
type(string_t), private :: usingSkipConnections_

Constructor

private pure, module function double_precision_from_json (lines)
private pure, module function from_components (modelName, modelAuthor, compilationDate, activationFunction, usingSkipConnections)
private pure, module function from_json (lines)

Type-Bound Procedures

procedure, public :: activation_name
generic, public :: operator(==) => equals
procedure, public :: strings
procedure, public :: to_json
procedure, private :: equals