training_configuration_m

Uses

- hyperparameters_m
- network_configuration_m
- kind_parameters_m
- tensor_names_m
- double_precision_file_m
- julienne_string_m
- julienne_file_m
- activation_m
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Interfaces

public interface training_configuration_t

private pure module function default_real_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration)

Arguments

Type	Intent		Name
type(hyperparameters_t),	intent(in)	::	hyperparameters
type(network_configuration_t),	intent(in)	::	network_configuration
type(tensor_names_t),	intent(in)	::	tensor_names

Return Value type(training_configuration_t)

private module function default_real_from_file(file_object) result(training_configuration)

Arguments

Type	Intent	Optional	Attributes		Name
type(file_t),	intent(in)			::	file_object

Return Value type(training_configuration_t)

private pure module function double_precision_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration)

Arguments

Type	Intent		Name
type(hyperparameters_t(double_precision)),	intent(in)	::	hyperparameters
type(network_configuration_t),	intent(in)	::	network_configuration
type(tensor_names_t),	intent(in)	::	tensor_names

Return Value type(training_configuration_t(double_precision))

private module function double_precision_from_file(file_object) result(training_configuration)

Arguments

Type	Intent	Optional	Attributes		Name
type(double_precision_file_t),	intent(in)			::	file_object

Return Value type(training_configuration_t(double_precision))

interface

private module function default_real_activation(self) result(activation)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value type(activation_t)

interface

private elemental module function default_real_equals(lhs, rhs) result(lhs_eq_rhs)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	lhs
class(training_configuration_t),	intent(in)			::	rhs

Return Value logical

interface

private pure module function default_real_input_names(self) result(input_names)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

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

interface

private elemental module function default_real_learning_rate(self) result(rate)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value real

interface

private elemental module function default_real_mini_batches(self) result(num_mini_batches)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value integer

interface

private pure module function default_real_nodes_per_layer(self) result(nodes)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value integer, allocatable, (:)

interface

private elemental module function default_real_optimizer_name(self) result(identifier)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value type(string_t)

interface

private pure module function default_real_output_names(self) result(output_names)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

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

interface

private elemental module function default_real_skip_connections(self) result(using_skip)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

Return Value logical

interface

private pure module function default_real_to_json(self) result(json_lines)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t),	intent(in)			::	self

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

interface

private module function double_precision_activation(self) result(activation)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value type(activation_t)

interface

private elemental module function double_precision_equals(lhs, rhs) result(lhs_eq_rhs)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	lhs
class(training_configuration_t(double_precision)),	intent(in)			::	rhs

Return Value logical

interface

private pure module function double_precision_input_names(self) result(input_names)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

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

interface

private elemental module function double_precision_learning_rate(self) result(rate)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value double precision

interface

private elemental module function double_precision_mini_batches(self) result(num_mini_batches)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value integer

interface

private pure module function double_precision_nodes_per_layer(self) result(nodes)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value integer, allocatable, (:)

interface

private elemental module function double_precision_optimizer_name(self) result(identifier)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value type(string_t)

interface

private pure module function double_precision_output_names(self) result(output_names)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

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

interface

private elemental module function double_precision_skip_connections(self) result(using_skip)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

Return Value logical

interface

private pure module function double_precision_to_json(self) result(json_lines)

Arguments

Type	Intent	Optional	Attributes		Name
class(training_configuration_t(double_precision)),	intent(in)			::	self

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

Derived Types

type, public, extends(double_precision_file_t) :: training_configuration_t

Components

Type	Visibility	Attributes		Name		Initial
integer,	public,	kind	::	m	=	default_real
type(hyperparameters_t(m)),	private		::	hyperparameters_
type(network_configuration_t),	private		::	network_configuration_
type(tensor_names_t),	private		::	tensor_names_

Constructor

private pure, module function default_real_from_components (hyperparameters, network_configuration, tensor_names)
private module function default_real_from_file (file_object)
private pure, module function double_precision_from_components (hyperparameters, network_configuration, tensor_names)
private module function double_precision_from_file (file_object)

Type-Bound Procedures

generic, public :: activation => default_real_activation, double_precision_activation
procedure, public :: double_precision_lines
generic, public :: input_variable_names => default_real_input_names, double_precision_input_names
generic, public :: learning_rate => default_real_learning_rate, double_precision_learning_rate
generic, public :: mini_batches => default_real_mini_batches, double_precision_mini_batches
generic, public :: nodes_per_layer => default_real_nodes_per_layer, double_precision_nodes_per_layer
generic, public :: operator(==) => default_real_equals, double_precision_equals
generic, public :: optimizer_name => default_real_optimizer_name, double_precision_optimizer_name
generic, public :: output_variable_names => default_real_output_names, double_precision_output_names
generic, public :: skip_connections => default_real_skip_connections, double_precision_skip_connections
generic, public :: to_json => default_real_to_json, double_precision_to_json
procedure, private :: default_real_activation
procedure, private :: default_real_equals
procedure, private :: default_real_input_names
procedure, private :: default_real_learning_rate
procedure, private :: default_real_mini_batches
procedure, private :: default_real_nodes_per_layer
procedure, private :: default_real_optimizer_name
procedure, private :: default_real_output_names
procedure, private :: default_real_skip_connections
procedure, private :: default_real_to_json
procedure, private :: double_precision_activation
procedure, private :: double_precision_equals
procedure, private :: double_precision_input_names
procedure, private :: double_precision_learning_rate
procedure, private :: double_precision_mini_batches
procedure, private :: double_precision_nodes_per_layer
procedure, private :: double_precision_optimizer_name
procedure, private :: double_precision_output_names
procedure, private :: double_precision_skip_connections
procedure, private :: double_precision_to_json

training_configuration_m Module

Contents

Interfaces

Derived Types

Uses

Used by

Descendants:

Interfaces

public interface training_configuration_t

private pure module function default_real_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration) Implementation →

Arguments

Return Value type(training_configuration_t)

private module function default_real_from_file(file_object) result(training_configuration) Implementation →

Arguments

Return Value type(training_configuration_t)

private pure module function double_precision_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration) Implementation →

Arguments

Return Value type(training_configuration_t(double_precision))

private module function double_precision_from_file(file_object) result(training_configuration) Implementation →

Arguments

Return Value type(training_configuration_t(double_precision))

interface

private module function default_real_activation(self) result(activation) Implementation →

Arguments

Return Value type(activation_t)

interface

private elemental module function default_real_equals(lhs, rhs) result(lhs_eq_rhs) Implementation →

Arguments

Return Value logical

interface

private pure module function default_real_input_names(self) result(input_names) Implementation →

Arguments

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

interface

private elemental module function default_real_learning_rate(self) result(rate) Implementation →

Arguments

Return Value real

interface

private elemental module function default_real_mini_batches(self) result(num_mini_batches) Implementation →

Arguments

Return Value integer

interface

private pure module function default_real_nodes_per_layer(self) result(nodes) Implementation →

Arguments

Return Value integer, allocatable, (:)

interface

private elemental module function default_real_optimizer_name(self) result(identifier) Implementation →

Arguments

Return Value type(string_t)

interface

private pure module function default_real_output_names(self) result(output_names) Implementation →

Arguments

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

interface

private elemental module function default_real_skip_connections(self) result(using_skip) Implementation →

Arguments

Return Value logical

interface

private pure module function default_real_to_json(self) result(json_lines) Implementation →

Arguments

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

interface

private module function double_precision_activation(self) result(activation) Implementation →

Arguments

Return Value type(activation_t)

interface

private elemental module function double_precision_equals(lhs, rhs) result(lhs_eq_rhs) Implementation →

Arguments

Return Value logical

interface

private pure module function double_precision_input_names(self) result(input_names) Implementation →

Arguments

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

interface

private elemental module function double_precision_learning_rate(self) result(rate) Implementation →

Arguments

Return Value double precision

interface

private elemental module function double_precision_mini_batches(self) result(num_mini_batches) Implementation →

Arguments

private pure module function default_real_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration)

private module function default_real_from_file(file_object) result(training_configuration)

private pure module function double_precision_from_components(hyperparameters, network_configuration, tensor_names) result(training_configuration)

private module function double_precision_from_file(file_object) result(training_configuration)

private module function default_real_activation(self) result(activation)

private elemental module function default_real_equals(lhs, rhs) result(lhs_eq_rhs)

private pure module function default_real_input_names(self) result(input_names)

private elemental module function default_real_learning_rate(self) result(rate)

private elemental module function default_real_mini_batches(self) result(num_mini_batches)

private pure module function default_real_nodes_per_layer(self) result(nodes)

private elemental module function default_real_optimizer_name(self) result(identifier)

private pure module function default_real_output_names(self) result(output_names)

private elemental module function default_real_skip_connections(self) result(using_skip)

private pure module function default_real_to_json(self) result(json_lines)

private module function double_precision_activation(self) result(activation)

private elemental module function double_precision_equals(lhs, rhs) result(lhs_eq_rhs)

private pure module function double_precision_input_names(self) result(input_names)

private elemental module function double_precision_learning_rate(self) result(rate)

private elemental module function double_precision_mini_batches(self) result(num_mini_batches)

private pure module function double_precision_nodes_per_layer(self) result(nodes)

private elemental module function double_precision_optimizer_name(self) result(identifier)

private pure module function double_precision_output_names(self) result(output_names)

private elemental module function double_precision_skip_connections(self) result(using_skip)

private pure module function double_precision_to_json(self) result(json_lines)