unmapped_network_t Derived Type

type, public :: unmapped_network_t

Inherits

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Components

Type	Visibility	Attributes		Name		Initial
integer,	public,	kind	::	k	=	default_real
type(neural_network_t(k)),	private		::	neural_network_

Constructor

public interface unmapped_network_t

private impure elemental module function double_precision_unmapped_from_json(file) result(unmapped_network)

Arguments

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

Return Value type(unmapped_network_t(double_precision))

Type-Bound Procedures

generic, public :: infer => default_real_infer_unmapped, double_precision_infer_unmapped

private interface default_real_infer_unmapped()

Arguments
None
private interface double_precision_infer_unmapped()

Arguments
None

procedure, private, non_overridable :: default_real_infer_unmapped

interface

private elemental module function default_real_infer_unmapped(self, inputs) result(outputs)

Arguments

Type	Intent	Optional	Attributes		Name
class(unmapped_network_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	inputs

Return Value type(tensor_t)

procedure, private, non_overridable :: double_precision_infer_unmapped

interface

private elemental module function double_precision_infer_unmapped(self, inputs) result(outputs)

Arguments

Type	Intent	Optional	Attributes		Name
class(unmapped_network_t(double_precision)),	intent(in)			::	self
type(tensor_t(double_precision)),	intent(in)			::	inputs

Return Value type(tensor_t(double_precision))