Perform deterministic operations on any given NFA M (with detailed notes) DFA entity class package Beans; import java.util.List; public class DFA {<!– –> private List<Integer> K; // state set private char[] letters; // alphabet private String[][] f; // conversion function private int S; // unique initial state private List<Integer> Z; // final state set public […]
Tag: deterministic
Sensitive word filtering based on deterministic finite automata (DFA algorithm)
1. Introduction to DFA algorithm DFA (Deterministic Finite Automaton) is a non-recursive automaton, also known as deterministic finite automaton. It gets nextstate through event and current state, that is, event + state=nextstate. Determinable: Both states and the events that cause state transitions are determinable. finite: The number of states and the events that cause state […]
[Solved] RuntimeError: adaptive_max_pool2d_backward_cuda does not have a deterministic implementation…error
Note: ※: The solutions provided here are not necessarily applicable to the problems you encounter, and are for reference only~ Problem description RuntimeError: adaptive_max_pool2d_backward_cuda does not have a deterministic implementation…error RuntimeError: adaptive_max_pool2d_backward_cuda does not have a deterministic implementation, but you set ‘torch.use_deterministic_algorithms(True)’ Solution: Tip: add torch.use_deterministic_algorithms(False) before scaler.scale(loss).backward() torch.use_deterministic_algorithms(False) #Add part scaler.scale(loss).backward()