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https://github.com/Z3Prover/z3
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code cleanup, add comments
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322dcec531
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bcf66f214f
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@ -33,11 +33,23 @@ namespace sls {
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m(ev.m) {
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}
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/**
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* Main entry point. The lookahead solver is invoked periodically
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* before any other propagation with the main BV solver.
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*/
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void bv_lookahead::start_propagation() {
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if (m_stats.m_num_propagations++ % m_config.propagation_base == 0)
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search();
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}
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/**
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* Main search loop.
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* - Selects candidate variables
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* - Applies random moves with a small probability
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* - Applies guided moves to reduce cost of false literals
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* - Applies random updates if no progress is made
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*/
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void bv_lookahead::search() {
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updt_params(ctx.get_params());
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rescore();
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@ -53,36 +65,87 @@ namespace sls {
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if (vars.empty())
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return;
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// random walk with probability 1024/wp
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// random walk
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if (ctx.rand(2047) < m_config.wp && apply_random_move(vars))
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continue;
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// guided moves, greedily reducing cost of false literals
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if (apply_guided_move(vars))
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continue;
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// bail out if no progress, and try random update
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if (apply_random_update(get_candidate_uninterp()))
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recalibrate_weights();
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}
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m_config.max_moves_base += 100;
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}
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/**
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* guided move: apply lookahead search for the selected variables
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* and possible moves
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*/
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bool bv_lookahead::apply_guided_move(ptr_vector<expr> const& vars) {
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m_best_expr = nullptr;
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m_best_score = m_top_score;
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unsigned sz = vars.size();
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unsigned start = ctx.rand(sz);
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unsigned start = ctx.rand();
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for (unsigned i = 0; i < sz; ++i)
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add_updates(vars[(start + i) % sz]);
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TRACE("bv", tout << "guided update " << m_best_score << " " << (m_best_expr?"no update":"") << "\n";);
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CTRACE("bv", !m_best_expr, tout << "no guided move\n";);
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if (!m_best_expr)
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return false;
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apply_update(m_best_expr, m_best_value);
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//verbose_stream() << "increasing move " << mk_bounded_pp(m_best_expr, m)
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// << " := " << m_best_value << " score: " << m_top_score << "\n";
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apply_update(m_best_expr, m_best_value, "increasing move");
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return true;
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}
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/**
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* random update: select a variable at random and set bits to random values
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*/
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bool bv_lookahead::apply_random_update(ptr_vector<expr> const& vars) {
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expr* e = vars[ctx.rand(vars.size())];
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auto& v = wval(e);
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m_v_updated.set_bw(v.bw);
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v.get_variant(m_v_updated, m_ev.m_rand);
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if (!v.can_set(m_v_updated))
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return false;
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apply_update(e, m_v_updated, "random update");
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return true;
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}
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/**
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* random move: select a variable at random and use one of the moves: flip, add1, sub1
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*/
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bool bv_lookahead::apply_random_move(ptr_vector<expr> const& vars) {
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expr* e = vars[ctx.rand(vars.size())];
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auto& v = wval(e);
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m_v_updated.set_bw(v.bw);
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v.bits().copy_to(v.nw, m_v_updated);
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switch (ctx.rand(3)) {
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case 0: {
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// flip a random bit
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auto bit = ctx.rand(v.bw);
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m_v_updated.set(bit, !m_v_updated.get(bit));
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break;
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}
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case 1:
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v.add1(m_v_updated);
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break;
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default:
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v.sub1(m_v_updated);
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break;
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}
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if (!v.can_set(m_v_updated))
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return false;
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apply_update(e, m_v_updated, "random move");
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return true;
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}
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/**
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* Retrieve a candidate top-level predicate that is false, give preference to
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* those with high score, but back off if they are frequently chosen.
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*/
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ptr_vector<expr> const& bv_lookahead::get_candidate_uninterp() {
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auto const& lits = ctx.root_literals();
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app* e = nullptr;
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@ -93,8 +156,8 @@ namespace sls {
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continue;
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auto a = to_app(ctx.atom(lit.var()));
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auto score = old_score(a);
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auto q = score
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+ m_config.ucb_constant * sqrt(log((double)m_touched) / get_touched(a))
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auto q = score
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+ m_config.ucb_constant * sqrt(log((double)m_touched) / get_touched(a))
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+ m_config.ucb_noise * ctx.rand(512);
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if (q > max)
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max = q, e = a;
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@ -121,47 +184,6 @@ namespace sls {
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return vars;
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}
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bool bv_lookahead::apply_random_update(ptr_vector<expr> const& vars) {
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expr* e = vars[ctx.rand(vars.size())];
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auto& v = wval(e);
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m_v_updated.set_bw(v.bw);
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v.get_variant(m_v_updated, m_ev.m_rand);
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if (!v.can_set(m_v_updated))
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return false;
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apply_update(e, m_v_updated);
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//verbose_stream() << "random update " << mk_bounded_pp(e, m) << " := " << m_v_updated << " score " << m_top_score << "\n";
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return true;
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}
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bool bv_lookahead::apply_random_move(ptr_vector<expr> const& vars) {
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expr* e = vars[ctx.rand(vars.size())];
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auto& v = wval(e);
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m_v_updated.set_bw(v.bw);
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v.bits().copy_to(v.nw, m_v_updated);
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switch (ctx.rand(3)) {
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case 0: {
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// flip a random bit
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auto bit = ctx.rand(v.bw);
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m_v_updated.set(bit, !m_v_updated.get(bit));
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break;
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}
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case 1:
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v.add1(m_v_updated);
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break;
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default:
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v.sub1(m_v_updated);
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break;
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}
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if (!v.can_set(m_v_updated))
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return false;
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apply_update(e, m_v_updated);
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TRACE("bv", tout << "random move " << mk_bounded_pp(e, m) << " := " << m_v_updated << "\n";);
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// verbose_stream() << "random move " << mk_bounded_pp(e, m) << " := " << m_v_updated << " score " << m_top_score << "\n";
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return true;
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}
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void bv_lookahead::check_restart() {
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if (m_stats.m_moves % m_config.restart_base == 0) {
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@ -183,6 +205,9 @@ namespace sls {
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rescore();
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}
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/**
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* Reset variables that occur in false literals.
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*/
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void bv_lookahead::reset_uninterp_in_false_literals() {
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auto const& lits = ctx.root_literals();
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expr_mark marked;
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@ -199,7 +224,7 @@ namespace sls {
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m_v_updated.set_bw(v.bw);
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m_v_updated.set_zero();
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if (v.can_set(m_v_updated)) {
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apply_update(e, m_v_updated);
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apply_update(e, m_v_updated, "reset");
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}
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}
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}
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@ -225,7 +250,6 @@ namespace sls {
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void bv_lookahead::updt_params(params_ref const& _p) {
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sls_params p(_p);
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m_config.walksat = p.walksat();
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m_config.walksat_repick = p.walksat_repick();
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m_config.paws_sp = p.paws_sp();
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@ -236,18 +260,21 @@ namespace sls {
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m_config.restart_init = p.restart_init();
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m_config.early_prune = p.early_prune();
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m_config.ucb = p.walksat_ucb();
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m_config.ucb_constant = p.walksat_ucb_constant();
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m_config.ucb_forget = p.walksat_ucb_forget();
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m_config.ucb_init = p.walksat_ucb_init();
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m_config.ucb_noise = p.walksat_ucb_noise();
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}
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/**
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* Score of a predicate based on how close the current
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* solution is to satisfying it. The proximity measure is
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* based on hamming distance for equalities, and differences
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* for inequalities.
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*/
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double bv_lookahead::new_score(app* a) {
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bool is_true = ctx.is_true(a);
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bool is_true_new = m_ev.bval1(a);
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if (!ctx.is_relevant(a))
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return 0;
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if (is_true == is_true_new)
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return 1;
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expr* x, * y;
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@ -327,6 +354,10 @@ namespace sls {
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return 0;
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}
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/**
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* Rehearse an update. The update is revered while a score is computed and returned.
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* Walk all parents, until hitting predicates where their scores are computed.
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*/
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double bv_lookahead::lookahead_update(expr* e, bvect const& new_value) {
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SASSERT(bv.is_bv(e));
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SASSERT(is_uninterp(e));
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try_set(u, m_v_updated);
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}
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void bv_lookahead::apply_update(expr* e, bvect const& new_value) {
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TRACE("bv", tout << "apply " << mk_bounded_pp(e, m) << " new value " << new_value << "\n");
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/**
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* Apply an update to a variable.
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* The update is committed.
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*/
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void bv_lookahead::apply_update(expr* e, bvect const& new_value, char const* reason) {
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SASSERT(bv.is_bv(e));
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SASSERT(is_uninterp(e));
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SASSERT(m_restore.empty());
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wval(e).eval = new_value;
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double old_top_score = m_top_score;
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//verbose_stream() << mk_bounded_pp(e, m) << " := " << new_value << "\n";
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VERIFY(wval(e).commit_eval());
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insert_update_stack(e);
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unsigned max_depth = get_depth(e);
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m_ev.eval(e); // updates wval(e).eval
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if (!wval(e).commit_eval()) {
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TRACE("bv", tout << "failed to commit " << mk_bounded_pp(e, m) << " " << wval(e) << "\n");
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IF_VERBOSE(0, verbose_stream() << "failed to commit " << mk_bounded_pp(e, m) << " " << wval(e) << "\n");
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IF_VERBOSE(2, verbose_stream() << "failed to commit " << mk_bounded_pp(e, m) << " " << wval(e) << "\n");
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// bv_plugin::is_sat picks up discrepancies
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continue;
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}
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@ -484,8 +517,9 @@ namespace sls {
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m_update_stack[depth].reset();
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}
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m_in_update_stack.reset();
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TRACE("bv", tout << mk_bounded_pp(e, m) << " := "
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<< new_value << " " << m_top_score << " (" << old_top_score << ")\n");
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TRACE("bv", tout << reason << " " << mk_bounded_pp(m_best_expr, m)
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<< " := " << new_value
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<< " score " << m_top_score << "\n";);
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}
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bool bv_lookahead::insert_update(expr* e) {
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@ -108,7 +108,7 @@ namespace sls {
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void try_set(expr* u, bvect const& new_value);
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void add_updates(expr* u);
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void apply_update(expr* e, bvect const& new_value);
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void apply_update(expr* e, bvect const& new_value, char const* reason);
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bool apply_random_move(ptr_vector<expr> const& vars);
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bool apply_guided_move(ptr_vector<expr> const& vars);
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bool apply_random_update(ptr_vector<expr> const& vars);
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