double_precision_num_inputs Interface

interface


Called by

interface~~double_precision_num_inputs~2~~CalledByGraph interface~double_precision_num_inputs~2 neural_network_t%double_precision_num_inputs none~num_inputs~2 neural_network_t%num_inputs none~num_inputs~2->interface~double_precision_num_inputs~2 proc~default_real_learn default_real_learn proc~default_real_learn->none~num_inputs~2 proc~default_real_to_json default_real_to_json proc~default_real_to_json->none~num_inputs~2 proc~double_precision_do_concurrent_time double_precision_do_concurrent_time proc~double_precision_do_concurrent_time->none~num_inputs~2 proc~double_precision_to_json double_precision_to_json proc~double_precision_to_json->none~num_inputs~2 proc~random_inputs random_inputs proc~random_inputs->none~num_inputs~2 proc~write_read_query_infer write_read_query_infer proc~write_read_query_infer->none~num_inputs~2 program~read_query_infer read_query_infer program~read_query_infer->none~num_inputs~2 program~concurrent_inferences concurrent_inferences program~concurrent_inferences->proc~double_precision_do_concurrent_time program~concurrent_inferences->proc~random_inputs program~write_read_infer write_read_infer program~write_read_infer->proc~write_read_query_infer

private elemental module function double_precision_num_inputs(self) result(input_count)

Arguments

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

Return Value integer