trainable_engine_s Submodule

Uses

- assert_m
- tensor_m
- intrinsic_array_m
- Ancestors:
- trainable_engine_m
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Variables

Type	Visibility	Attributes		Name		Initial
integer,	private,	parameter	::	input_layer	=	0

Module Procedures

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html assert_consistent pure module subroutine assert_consistent(self)

Arguments

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

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html construct_from_inference_engine pure module function construct_from_inference_engine(inference_engine) result(trainable_engine)

Arguments

Type	Intent	Optional	Attributes		Name
type(inference_engine_t),	intent(in)			::	inference_engine

Return Value type(trainable_engine_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html construct_from_padded_arrays pure module function construct_from_padded_arrays(nodes, weights, biases, differentiable_activation_strategy, metadata, input_range, output_range) result(trainable_engine)

Arguments

Type	Intent	Optional	Attributes		Name
integer,	intent(in)			::	nodes(input_layer:)
real(kind=rkind),	intent(in)			::	weights(:,:,:)
real(kind=rkind),	intent(in)			::	biases(:,:)
class(differentiable_activation_strategy_t),	intent(in)			::	differentiable_activation_strategy
type(string_t),	intent(in)			::	metadata(:)
type(tensor_range_t),	intent(in),	optional		::	input_range
type(tensor_range_t),	intent(in),	optional		::	output_range

Return Value type(trainable_engine_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html infer elemental module function infer(self, inputs) result(outputs)

Arguments

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

Return Value type(tensor_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html map_from_input_training_range elemental module function map_from_input_training_range(self, tensor) result(unnormalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(trainable_engine_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html map_from_output_training_range elemental module function map_from_output_training_range(self, tensor) result(unnormalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(trainable_engine_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html map_to_input_training_range elemental module function map_to_input_training_range(self, tensor) result(normalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(trainable_engine_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html map_to_output_training_range elemental module function map_to_output_training_range(self, tensor) result(normalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(trainable_engine_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html num_inputs elemental module function num_inputs(self) result(n_in)

Arguments

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

Return Value integer

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html num_layers elemental module function num_layers(self) result(n_layers)

Arguments

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

Return Value integer

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html num_outputs elemental module function num_outputs(self) result(n_out)

Arguments

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

Return Value integer

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html perturbed_identity_network module function perturbed_identity_network(training_configuration, perturbation_magnitude, metadata, input_range, output_range) result(trainable_engine)

Arguments

Type	Intent	Optional	Attributes		Name
type(training_configuration_t),	intent(in)			::	training_configuration
real(kind=rkind),	intent(in)			::	perturbation_magnitude
type(string_t),	intent(in)			::	metadata(:)
type(tensor_range_t)				::	input_range
type(tensor_range_t)				::	output_range

Return Value type(trainable_engine_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html to_inference_engine module function to_inference_engine(self) result(inference_engine)

Arguments

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

Return Value type(inference_engine_t)

module procedure /home/runner/work/inference-engine/inference-engine/doc/html/module/trainable_engine_s.html train pure module subroutine train(self, mini_batches_arr, cost, adam, learning_rate)

Arguments

Type	Intent	Optional	Attributes		Name
class(trainable_engine_t),	intent(inout)			::	self
type(mini_batch_t),	intent(in)			::	mini_batches_arr(:)
real(kind=rkind),	intent(out),	optional,	allocatable	::	cost(:)
logical,	intent(in)			::	adam
real(kind=rkind),	intent(in)			::	learning_rate