layer_s Submodule


Uses

    • assert_m
  • module~~layer_s~~UsesGraph module~layer_s layer_s assert_m assert_m module~layer_s->assert_m module~layer_m layer_m module~layer_s->module~layer_m julienne_string_m julienne_string_m module~layer_m->julienne_string_m module~double_precision_string_m double_precision_string_m module~layer_m->module~double_precision_string_m module~kind_parameters_m kind_parameters_m module~layer_m->module~kind_parameters_m module~metadata_m metadata_m module~layer_m->module~metadata_m module~neural_network_m neural_network_m module~layer_m->module~neural_network_m module~neuron_m neuron_m module~layer_m->module~neuron_m module~tensor_map_m tensor_map_m module~layer_m->module~tensor_map_m julienne_m julienne_m module~double_precision_string_m->julienne_m module~metadata_m->julienne_string_m module~metadata_m->module~double_precision_string_m module~neural_network_m->module~kind_parameters_m module~neural_network_m->module~metadata_m module~neural_network_m->module~tensor_map_m module~neural_network_m->julienne_m module~activation_m activation_m module~neural_network_m->module~activation_m module~double_precision_file_m double_precision_file_m module~neural_network_m->module~double_precision_file_m module~mini_batch_m mini_batch_m module~neural_network_m->module~mini_batch_m module~tensor_m tensor_m module~neural_network_m->module~tensor_m module~neuron_m->julienne_string_m module~neuron_m->module~double_precision_string_m module~neuron_m->module~kind_parameters_m module~tensor_map_m->module~double_precision_string_m module~tensor_map_m->module~kind_parameters_m module~tensor_map_m->julienne_m module~tensor_map_m->module~tensor_m module~activation_m->julienne_m iso_c_binding iso_c_binding module~activation_m->iso_c_binding module~double_precision_file_m->module~double_precision_string_m module~double_precision_file_m->julienne_m module~mini_batch_m->module~kind_parameters_m module~input_output_pair_m input_output_pair_m module~mini_batch_m->module~input_output_pair_m module~tensor_m->module~kind_parameters_m module~input_output_pair_m->module~kind_parameters_m module~input_output_pair_m->module~tensor_m

Module Procedures

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_construct_layer recursive module function default_real_construct_layer(layer_lines, start) result(layer)

Arguments

Type IntentOptional Attributes Name
type(string_t), intent(in) :: layer_lines(:)
integer, intent(in) :: start

Return Value type(layer_t), target

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_count_inputs module function default_real_count_inputs(layer) result(num_inputs)

Arguments

Type IntentOptional Attributes Name
class(layer_t), intent(in) :: layer

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_count_layers module function default_real_count_layers(layer) result(num_layers)

Arguments

Type IntentOptional Attributes Name
class(layer_t), intent(in), target :: layer

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_count_neurons module function default_real_count_neurons(layer) result(neurons_per_layer_result)

Arguments

Type IntentOptional Attributes Name
class(layer_t), intent(in), target :: layer

Return Value integer, allocatable, (:)

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_neural_network module function default_real_neural_network(hidden_layers, metadata, output_layer, input_map, output_map) result(neural_network_)

Arguments

Type IntentOptional Attributes Name
class(layer_t), intent(in), target :: hidden_layers
type(string_t), intent(in) :: metadata(:)
type(layer_t), intent(in), target :: output_layer
type(tensor_map_t), intent(in) :: input_map
type(tensor_map_t), intent(in) :: output_map

Return Value type(neural_network_t)

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_neurons_per_layer module function default_real_neurons_per_layer(self) result(num_neurons)

Arguments

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

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_next_allocated module function default_real_next_allocated(self) result(next_is_allocated)

Arguments

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

Return Value logical

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html default_real_next_pointer module function default_real_next_pointer(self) result(next_ptr)

Arguments

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

Return Value type(layer_t), pointer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_construct_layer recursive module function double_precision_construct_layer(layer_lines, start) result(layer)

Arguments

Type IntentOptional Attributes Name
type(double_precision_string_t), intent(in) :: layer_lines(:)
integer, intent(in) :: start

Return Value type(layer_t(double_precision)), target

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_count_inputs module function double_precision_count_inputs(layer) result(num_inputs)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in) :: layer

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_count_layers module function double_precision_count_layers(layer) result(num_layers)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in), target :: layer

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_count_neurons module function double_precision_count_neurons(layer) result(neurons_per_layer_result)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in), target :: layer

Return Value integer, allocatable, (:)

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_neural_network module function double_precision_neural_network(hidden_layers, metadata, output_layer, input_map, output_map) result(neural_network_)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in), target :: hidden_layers
type(metadata_t), intent(in) :: metadata
type(layer_t(double_precision)), intent(in), target :: output_layer
type(tensor_map_t(double_precision)), intent(in) :: input_map
type(tensor_map_t(double_precision)), intent(in) :: output_map

Return Value type(neural_network_t(double_precision))

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_neurons_per_layer module function double_precision_neurons_per_layer(self) result(num_neurons)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in), target :: self

Return Value integer

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_next_allocated module function double_precision_next_allocated(self) result(next_is_allocated)

Arguments

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

Return Value logical

module procedure /home/runner/work/fiats/fiats/doc/html/module/layer_s.html double_precision_next_pointer module function double_precision_next_pointer(self) result(next_ptr)

Arguments

Type IntentOptional Attributes Name
class(layer_t(double_precision)), intent(in), target :: self

Return Value type(layer_t(double_precision)), pointer