double_precision_values Interface

interface


Called by

interface~~double_precision_values~~CalledByGraph interface~double_precision_values tensor_t%double_precision_values none~values tensor_t%values none~values->interface~double_precision_values proc~default_real_infer_unmapped default_real_infer_unmapped proc~default_real_infer_unmapped->none~values proc~default_real_learn default_real_learn proc~default_real_learn->none~values proc~default_real_map_from_training_range default_real_map_from_training_range proc~default_real_map_from_training_range->none~values proc~default_real_map_to_training_range default_real_map_to_training_range proc~default_real_map_to_training_range->none~values proc~default_real_write_to_stdout default_real_write_to_stdout proc~default_real_write_to_stdout->none~values proc~double_precision_infer_unmapped double_precision_infer_unmapped proc~double_precision_infer_unmapped->none~values proc~double_precision_map_from_training_range double_precision_map_from_training_range proc~double_precision_map_from_training_range->none~values proc~double_precision_map_to_training_range double_precision_map_to_training_range proc~double_precision_map_to_training_range->none~values proc~double_precision_write_to_stdout double_precision_write_to_stdout proc~double_precision_write_to_stdout->none~values proc~write_read_query_infer write_read_query_infer proc~write_read_query_infer->none~values proc~y y proc~y->none~values proc~y~2 y proc~y~2->none~values proc~y~3 y proc~y~3->none~values proc~y~4 y proc~y~4->none~values proc~y~5 y proc~y~5->none~values program~read_query_infer read_query_infer program~read_query_infer->none~values program~learn_addition learn_addition program~learn_addition->proc~y~4 program~learn_exponentiation learn_exponentiation program~learn_exponentiation->proc~y~5 program~learn_multiplication learn_multiplication program~learn_multiplication->proc~y~2 program~learn_power_series learn_power_series program~learn_power_series->proc~y program~train_saturated_mixture_ratio train_saturated_mixture_ratio program~train_saturated_mixture_ratio->proc~y~3 program~write_read_infer write_read_infer program~write_read_infer->proc~write_read_query_infer

private pure module function double_precision_values(self) result(tensor_values)

Arguments

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

Return Value double precision,allocatable,(:)