values Interface

interface


Called by

interface~~values~~CalledByGraph interface~values tensor_t%values proc~in_range in_range proc~in_range->interface~values proc~map_from_training_range map_from_training_range proc~map_from_training_range->interface~values proc~map_to_training_range map_to_training_range proc~map_to_training_range->interface~values proc~train train proc~train->interface~values proc~write_read_query_infer write_read_query_infer proc~write_read_query_infer->interface~values proc~y y proc~y->interface~values proc~y~2 y proc~y~2->interface~values proc~y~3 y proc~y~3->interface~values proc~y~4 y proc~y~4->interface~values proc~y~5 y proc~y~5->interface~values proc~y~6 y proc~y~6->interface~values program~learn_addition learn_addition program~learn_addition->proc~y~6 program~learn_exponentiation learn_exponentiation program~learn_exponentiation->proc~y program~learn_microphysics_procedures learn_microphysics_procedures program~learn_microphysics_procedures->proc~y~2 program~learn_multiplication learn_multiplication program~learn_multiplication->proc~y~5 program~learn_power_series learn_power_series program~learn_power_series->proc~y~4 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 values(self) result(tensor_values)

Arguments

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

Return Value real(kind=rkind),allocatable,(:)