mirror of
https://github.com/Z3Prover/z3
synced 2025-04-24 17:45:32 +00:00
updates to ddfw, initial local search phase option
This commit is contained in:
parent
992793bd56
commit
75c573877d
7 changed files with 165 additions and 104 deletions
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@ -65,6 +65,8 @@ namespace sat {
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m_phase = PS_RANDOM;
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else if (s == symbol("frozen"))
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m_phase = PS_FROZEN;
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else if (s == symbol("local_search"))
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m_phase = PS_LOCAL_SEARCH;
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else
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throw sat_param_exception("invalid phase selection strategy: always_false, always_true, basic_caching, caching, random");
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@ -28,6 +28,7 @@ namespace sat {
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PS_ALWAYS_FALSE,
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PS_BASIC_CACHING,
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PS_SAT_CACHING,
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PS_LOCAL_SEARCH,
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PS_FROZEN,
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PS_RANDOM
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};
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@ -49,6 +49,7 @@ namespace sat {
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else if (should_parallel_sync()) do_parallel_sync();
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else shift_weights();
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}
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log();
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return m_min_sz == 0 ? l_true : l_undef;
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}
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@ -66,9 +67,9 @@ namespace sat {
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<< std::setw(10) << kflips_per_sec
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<< std::setw(10) << m_flips
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<< std::setw(10) << m_restart_count
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<< std::setw(10) << m_reinit_count
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<< std::setw(10) << m_unsat_vars.size()
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<< std::setw(10) << m_shifts;
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<< std::setw(11) << m_reinit_count
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<< std::setw(13) << m_unsat_vars.size()
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<< std::setw(9) << m_shifts;
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if (m_par) verbose_stream() << std::setw(10) << m_parsync_count;
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verbose_stream() << ")\n");
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m_stopwatch.start();
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@ -90,18 +91,18 @@ namespace sat {
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unsigned n = 1;
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bool_var v0 = null_bool_var;
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for (bool_var v : m_unsat_vars) {
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int r = reward(v);
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if (r > 0) {
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double r = reward(v);
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if (r > 0.0) {
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sum_pos += score(r);
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}
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else if (r == 0 && sum_pos == 0 && (m_rand() % (n++)) == 0) {
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else if (r == 0.0 && sum_pos == 0 && (m_rand() % (n++)) == 0) {
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v0 = v;
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}
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}
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if (sum_pos > 0) {
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double lim_pos = ((double) m_rand() / (1.0 + m_rand.max_value())) * sum_pos;
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for (bool_var v : m_unsat_vars) {
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int r = reward(v);
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double r = reward(v);
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if (r > 0) {
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lim_pos -= score(r);
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if (lim_pos <= 0) {
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@ -121,7 +122,7 @@ namespace sat {
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* TBD: map reward value to a score, possibly through an exponential function, such as
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* exp(-tau/r), where tau > 0
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*/
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double ddfw::mk_score(unsigned r) {
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double ddfw::mk_score(double r) {
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return r;
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}
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@ -201,7 +202,7 @@ namespace sat {
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m_shifts = 0;
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m_stopwatch.start();
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}
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void ddfw::reinit(solver& s) {
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add(s);
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add_assumptions();
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@ -235,7 +236,7 @@ namespace sat {
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for (unsigned cls_idx : use_list(*this, lit)) {
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clause_info& ci = m_clauses[cls_idx];
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ci.del(lit);
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unsigned w = ci.m_weight;
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double w = ci.m_weight;
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// cls becomes false: flip any variable in clause to receive reward w
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switch (ci.m_num_trues) {
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case 0: {
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@ -257,7 +258,7 @@ namespace sat {
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}
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for (unsigned cls_idx : use_list(*this, nlit)) {
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clause_info& ci = m_clauses[cls_idx];
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unsigned w = ci.m_weight;
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double w = ci.m_weight;
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// the clause used to have a single true (pivot) literal, now it has two.
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// Then the previous pivot is no longer penalized for flipping.
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switch (ci.m_num_trues) {
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@ -406,9 +407,8 @@ namespace sat {
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void ddfw::save_best_values() {
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if (m_unsat.empty()) {
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m_model.reserve(num_vars());
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for (unsigned i = 0; i < num_vars(); ++i) {
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for (unsigned i = 0; i < num_vars(); ++i)
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m_model[i] = to_lbool(value(i));
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}
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}
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if (m_unsat.size() < m_min_sz) {
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m_models.reset();
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@ -422,13 +422,11 @@ namespace sat {
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}
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unsigned h = value_hash();
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if (!m_models.contains(h)) {
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for (unsigned v = 0; v < num_vars(); ++v) {
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for (unsigned v = 0; v < num_vars(); ++v)
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bias(v) += value(v) ? 1 : -1;
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}
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m_models.insert(h);
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if (m_models.size() > m_config.m_max_num_models) {
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if (m_models.size() > m_config.m_max_num_models)
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m_models.erase(*m_models.begin());
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}
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}
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m_min_sz = m_unsat.size();
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}
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@ -450,10 +448,9 @@ namespace sat {
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3. select multiple clauses instead of just one per clause in unsat.
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*/
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bool ddfw::select_clause(unsigned max_weight, unsigned max_trues, clause_info const& cn, unsigned& n) {
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if (cn.m_num_trues == 0 || cn.m_weight < max_weight) {
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bool ddfw::select_clause(double max_weight, clause_info const& cn, unsigned& n) {
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if (cn.m_num_trues == 0 || cn.m_weight + 1e-5 < max_weight)
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return false;
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}
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if (cn.m_weight > max_weight) {
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n = 2;
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return true;
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@ -462,51 +459,72 @@ namespace sat {
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}
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unsigned ddfw::select_max_same_sign(unsigned cf_idx) {
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clause const& c = get_clause(cf_idx);
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unsigned max_weight = 2;
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unsigned max_trues = 0;
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auto& ci = m_clauses[cf_idx];
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unsigned cl = UINT_MAX; // clause pointer to same sign, max weight satisfied clause.
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clause const& c = *ci.m_clause;
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double max_weight = m_init_weight;
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unsigned n = 1;
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for (literal lit : c) {
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for (unsigned cn_idx : use_list(*this, lit)) {
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auto& cn = m_clauses[cn_idx];
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if (select_clause(max_weight, max_trues, cn, n)) {
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if (select_clause(max_weight, cn, n)) {
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cl = cn_idx;
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max_weight = cn.m_weight;
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max_trues = cn.m_num_trues;
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}
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}
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}
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return cl;
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}
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void ddfw::transfer_weight(unsigned from, unsigned to, double w) {
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auto& cf = m_clauses[to];
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auto& cn = m_clauses[from];
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if (cn.m_weight < w)
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return;
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cf.m_weight += w;
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cn.m_weight -= w;
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for (literal lit : get_clause(to))
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inc_reward(lit, w);
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if (cn.m_num_trues == 1)
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inc_reward(to_literal(cn.m_trues), w);
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}
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unsigned ddfw::select_random_true_clause() {
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unsigned num_clauses = m_clauses.size();
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unsigned rounds = 100 * num_clauses;
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for (unsigned i = 0; i < rounds; ++i) {
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unsigned idx = (m_rand() * m_rand()) % num_clauses;
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auto & cn = m_clauses[idx];
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if (cn.is_true() && cn.m_weight >= m_init_weight)
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return idx;
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}
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return UINT_MAX;
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}
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// 1% chance to disregard neighbor
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inline bool ddfw::disregard_neighbor() {
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return false; // rand() % 1000 == 0;
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}
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double ddfw::calculate_transfer_weight(double w) {
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return (w > m_init_weight) ? m_init_weight : 1;
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}
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void ddfw::shift_weights() {
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++m_shifts;
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for (unsigned cf_idx : m_unsat) {
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auto& cf = m_clauses[cf_idx];
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for (unsigned to_idx : m_unsat) {
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auto& cf = m_clauses[to_idx];
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SASSERT(!cf.is_true());
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unsigned cn_idx = select_max_same_sign(cf_idx);
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while (cn_idx == UINT_MAX) {
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unsigned idx = (m_rand() * m_rand()) % m_clauses.size();
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auto & cn = m_clauses[idx];
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if (cn.is_true() && cn.m_weight >= 2) {
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cn_idx = idx;
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}
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}
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auto & cn = m_clauses[cn_idx];
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unsigned from_idx = select_max_same_sign(to_idx);
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if (from_idx == UINT_MAX || disregard_neighbor())
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from_idx = select_random_true_clause();
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if (from_idx == UINT_MAX)
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continue;
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auto & cn = m_clauses[from_idx];
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SASSERT(cn.is_true());
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unsigned wn = cn.m_weight;
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SASSERT(wn >= 2);
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unsigned inc = (wn > 2) ? 2 : 1;
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SASSERT(wn - inc >= 1);
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cf.m_weight += inc;
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cn.m_weight -= inc;
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for (literal lit : get_clause(cf_idx)) {
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inc_reward(lit, inc);
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}
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if (cn.m_num_trues == 1) {
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inc_reward(to_literal(cn.m_trues), inc);
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}
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double w = calculate_transfer_weight(cn.m_weight);
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transfer_weight(from_idx, to_idx, w);
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}
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// DEBUG_CODE(invariant(););
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}
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@ -543,7 +561,7 @@ namespace sat {
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VERIFY(found);
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}
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for (unsigned v = 0; v < num_vars(); ++v) {
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int v_reward = 0;
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double v_reward = 0;
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literal lit(v, !value(v));
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for (unsigned j : m_use_list[lit.index()]) {
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clause_info const& ci = m_clauses[j];
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}
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}
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IF_VERBOSE(0, if (v_reward != reward(v)) verbose_stream() << v << " " << v_reward << " " << reward(v) << "\n");
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SASSERT(reward(v) == v_reward);
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// SASSERT(reward(v) == v_reward);
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}
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DEBUG_CODE(
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for (auto const& ci : m_clauses) {
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@ -34,10 +34,10 @@ namespace sat {
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class ddfw : public i_local_search {
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struct clause_info {
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clause_info(clause* cl, unsigned init_weight): m_weight(init_weight), m_trues(0), m_num_trues(0), m_clause(cl) {}
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unsigned m_weight; // weight of clause
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unsigned m_trues; // set of literals that are true
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unsigned m_num_trues; // size of true set
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clause_info(clause* cl, double init_weight): m_weight(init_weight), m_clause(cl) {}
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double m_weight; // weight of clause
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unsigned m_trues = 0; // set of literals that are true
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unsigned m_num_trues = 0; // size of true set
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clause* m_clause;
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bool is_true() const { return m_num_trues > 0; }
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void add(literal lit) { ++m_num_trues; m_trues += lit.index(); }
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};
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struct var_info {
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var_info(): m_value(false), m_reward(0), m_make_count(0), m_bias(0), m_reward_avg(1e-5) {}
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bool m_value;
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int m_reward;
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unsigned m_make_count;
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int m_bias;
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ema m_reward_avg;
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var_info() {}
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bool m_value = false;
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double m_reward = 0;
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unsigned m_make_count = 0;
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int m_bias = 0;
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ema m_reward_avg = 1e-5;
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};
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config m_config;
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reslimit m_limit;
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clause_allocator m_alloc;
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config m_config;
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reslimit m_limit;
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clause_allocator m_alloc;
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svector<clause_info> m_clauses;
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literal_vector m_assumptions;
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svector<var_info> m_vars; // var -> info
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svector<double> m_probs; // var -> probability of flipping
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svector<double> m_scores; // reward -> score
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model m_model; // var -> best assignment
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unsigned m_init_weight = 2;
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vector<unsigned_vector> m_use_list;
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unsigned_vector m_flat_use_list;
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@ -90,11 +91,11 @@ namespace sat {
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indexed_uint_set m_unsat;
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indexed_uint_set m_unsat_vars; // set of variables that are in unsat clauses
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random_gen m_rand;
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unsigned m_num_non_binary_clauses{ 0 };
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unsigned m_restart_count{ 0 }, m_reinit_count{ 0 }, m_parsync_count{ 0 };
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uint64_t m_restart_next{ 0 }, m_reinit_next{ 0 }, m_parsync_next{ 0 };
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uint64_t m_flips{ 0 }, m_last_flips{ 0 }, m_shifts{ 0 };
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unsigned m_min_sz{ 0 };
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unsigned m_num_non_binary_clauses = 0;
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unsigned m_restart_count = 0, m_reinit_count = 0, m_parsync_count = 0;
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uint64_t m_restart_next = 0, m_reinit_next = 0, m_parsync_next = 0;
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uint64_t m_flips = 0, m_last_flips = 0, m_shifts = 0;
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unsigned m_min_sz = 0;
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hashtable<unsigned, unsigned_hash, default_eq<unsigned>> m_models;
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stopwatch m_stopwatch;
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@ -112,9 +113,9 @@ namespace sat {
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void flatten_use_list();
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double mk_score(unsigned r);
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double mk_score(double r);
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inline double score(unsigned r) { return r; } // TBD: { for (unsigned sz = m_scores.size(); sz <= r; ++sz) m_scores.push_back(mk_score(sz)); return m_scores[r]; }
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inline double score(double r) { return r; } // TBD: { for (unsigned sz = m_scores.size(); sz <= r; ++sz) m_scores.push_back(mk_score(sz)); return m_scores[r]; }
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inline unsigned num_vars() const { return m_vars.size(); }
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@ -124,9 +125,9 @@ namespace sat {
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inline bool value(bool_var v) const { return m_vars[v].m_value; }
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inline int& reward(bool_var v) { return m_vars[v].m_reward; }
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inline double& reward(bool_var v) { return m_vars[v].m_reward; }
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inline int reward(bool_var v) const { return m_vars[v].m_reward; }
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inline double reward(bool_var v) const { return m_vars[v].m_reward; }
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inline int& bias(bool_var v) { return m_vars[v].m_bias; }
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@ -136,7 +137,7 @@ namespace sat {
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inline clause const& get_clause(unsigned idx) const { return *m_clauses[idx].m_clause; }
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inline unsigned get_weight(unsigned idx) const { return m_clauses[idx].m_weight; }
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inline double get_weight(unsigned idx) const { return m_clauses[idx].m_weight; }
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inline bool is_true(unsigned idx) const { return m_clauses[idx].is_true(); }
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@ -154,9 +155,9 @@ namespace sat {
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if (--make_count(v) == 0) m_unsat_vars.remove(v);
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}
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inline void inc_reward(literal lit, int inc) { reward(lit.var()) += inc; }
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inline void inc_reward(literal lit, double w) { reward(lit.var()) += w; }
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inline void dec_reward(literal lit, int inc) { reward(lit.var()) -= inc; }
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inline void dec_reward(literal lit, double w) { reward(lit.var()) -= w; }
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// flip activity
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bool do_flip();
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@ -166,17 +167,20 @@ namespace sat {
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// shift activity
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void shift_weights();
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inline double calculate_transfer_weight(double w);
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// reinitialize weights activity
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bool should_reinit_weights();
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void do_reinit_weights();
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inline bool select_clause(unsigned max_weight, unsigned max_trues, clause_info const& cn, unsigned& n);
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inline bool select_clause(double max_weight, clause_info const& cn, unsigned& n);
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// restart activity
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bool should_restart();
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void do_restart();
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void reinit_values();
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unsigned select_random_true_clause();
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// parallel integration
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bool should_parallel_sync();
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void do_parallel_sync();
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@ -193,6 +197,10 @@ namespace sat {
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void add_assumptions();
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inline void transfer_weight(unsigned from, unsigned to, double w);
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inline bool disregard_neighbor();
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public:
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ddfw(): m_par(nullptr) {}
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@ -210,6 +218,10 @@ namespace sat {
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void set_seed(unsigned n) override { m_rand.set_seed(n); }
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void add(solver const& s) override;
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void set_bias(bool_var v, int bias) override { m_vars[v].m_bias = bias; }
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bool get_value(bool_var v) const override { return value(v); }
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std::ostream& display(std::ostream& out) const;
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@ -1330,17 +1330,37 @@ namespace sat {
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ERROR_EX
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};
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struct solver::scoped_ls {
|
||||
solver& s;
|
||||
scoped_ls(solver& s): s(s) {}
|
||||
~scoped_ls() {
|
||||
dealloc(s.m_local_search);
|
||||
s.m_local_search = nullptr;
|
||||
}
|
||||
};
|
||||
|
||||
void solver::bounded_local_search() {
|
||||
literal_vector _lits;
|
||||
scoped_limits scoped_rl(rlimit());
|
||||
m_local_search = alloc(ddfw);
|
||||
scoped_ls _ls(*this);
|
||||
SASSERT(m_local_search);
|
||||
m_local_search->add(*this);
|
||||
m_local_search->updt_params(m_params);
|
||||
m_local_search->set_seed(m_rand());
|
||||
scoped_rl.push_child(&(m_local_search->rlimit()));
|
||||
m_local_search->rlimit().push(500000);
|
||||
m_local_search->reinit(*this);
|
||||
m_local_search->check(_lits.size(), _lits.data(), nullptr);
|
||||
for (unsigned i = 0; i < m_phase.size(); ++i)
|
||||
m_best_phase[i] = m_local_search->get_value(i);
|
||||
}
|
||||
|
||||
|
||||
lbool solver::invoke_local_search(unsigned num_lits, literal const* lits) {
|
||||
literal_vector _lits(num_lits, lits);
|
||||
for (literal lit : m_user_scope_literals) _lits.push_back(~lit);
|
||||
struct scoped_ls {
|
||||
solver& s;
|
||||
scoped_ls(solver& s): s(s) {}
|
||||
~scoped_ls() {
|
||||
dealloc(s.m_local_search);
|
||||
s.m_local_search = nullptr;
|
||||
}
|
||||
};
|
||||
for (literal lit : m_user_scope_literals)
|
||||
_lits.push_back(~lit);
|
||||
scoped_ls _ls(*this);
|
||||
if (inconsistent())
|
||||
return l_false;
|
||||
|
@ -1610,27 +1630,28 @@ namespace sat {
|
|||
|
||||
bool solver::guess(bool_var next) {
|
||||
lbool lphase = m_ext ? m_ext->get_phase(next) : l_undef;
|
||||
|
||||
|
||||
if (lphase != l_undef)
|
||||
return lphase == l_true;
|
||||
switch (m_config.m_phase) {
|
||||
case PS_ALWAYS_TRUE:
|
||||
return true;
|
||||
case PS_ALWAYS_FALSE:
|
||||
return false;
|
||||
case PS_BASIC_CACHING:
|
||||
case PS_ALWAYS_TRUE:
|
||||
return true;
|
||||
case PS_ALWAYS_FALSE:
|
||||
return false;
|
||||
case PS_BASIC_CACHING:
|
||||
return m_phase[next];
|
||||
case PS_FROZEN:
|
||||
return m_best_phase[next];
|
||||
case PS_SAT_CACHING:
|
||||
case PS_LOCAL_SEARCH:
|
||||
if (m_search_state == s_unsat)
|
||||
return m_phase[next];
|
||||
case PS_FROZEN:
|
||||
return m_best_phase[next];
|
||||
case PS_SAT_CACHING:
|
||||
if (m_search_state == s_unsat)
|
||||
return m_phase[next];
|
||||
return m_best_phase[next];
|
||||
case PS_RANDOM:
|
||||
return (m_rand() % 2) == 0;
|
||||
default:
|
||||
UNREACHABLE();
|
||||
return false;
|
||||
return m_best_phase[next];
|
||||
case PS_RANDOM:
|
||||
return (m_rand() % 2) == 0;
|
||||
default:
|
||||
UNREACHABLE();
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -2822,7 +2843,7 @@ namespace sat {
|
|||
}
|
||||
|
||||
bool solver::is_two_phase() const {
|
||||
return m_config.m_phase == PS_SAT_CACHING;
|
||||
return m_config.m_phase == PS_SAT_CACHING || m_config.m_phase == PS_LOCAL_SEARCH;
|
||||
}
|
||||
|
||||
bool solver::is_sat_phase() const {
|
||||
|
@ -2922,6 +2943,10 @@ namespace sat {
|
|||
case PS_RANDOM:
|
||||
for (auto& p : m_phase) p = (m_rand() % 2) == 0;
|
||||
break;
|
||||
case PS_LOCAL_SEARCH:
|
||||
if (m_search_state == s_sat)
|
||||
bounded_local_search();
|
||||
break;
|
||||
default:
|
||||
UNREACHABLE();
|
||||
break;
|
||||
|
|
|
@ -589,7 +589,9 @@ namespace sat {
|
|||
lbool do_ddfw_search(unsigned num_lits, literal const* lits);
|
||||
lbool do_prob_search(unsigned num_lits, literal const* lits);
|
||||
lbool invoke_local_search(unsigned num_lits, literal const* lits);
|
||||
void bounded_local_search();
|
||||
lbool do_unit_walk();
|
||||
struct scoped_ls;
|
||||
|
||||
// -----------------------
|
||||
//
|
||||
|
|
|
@ -91,7 +91,8 @@ namespace sat {
|
|||
virtual model const& get_model() const = 0;
|
||||
virtual void collect_statistics(statistics& st) const = 0;
|
||||
virtual double get_priority(bool_var v) const { return 0; }
|
||||
|
||||
virtual void set_bias(bool_var v, int bias) {}
|
||||
virtual bool get_value(bool_var v) const { return true; }
|
||||
};
|
||||
|
||||
class proof_hint {
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue