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experiment with sat solver

Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
Nikolaj Bjorner 2014-05-14 19:40:58 -07:00
parent 81c2560854
commit d849b5c637
5 changed files with 149 additions and 53 deletions

View file

@ -125,6 +125,38 @@ namespace opt {
}
}
static expr_ref soft2bv(expr_ref_vector const& soft, vector<rational> const& weights) {
ast_manager& m = soft.get_manager();
pb::card_pb_rewriter pb2bv(m);
rational upper(1);
expr_ref objective(m);
for (unsigned i = 0; i < weights.size(); ++i) {
upper += weights[i];
}
expr_ref zero(m), tmp(m);
bv_util bv(m);
expr_ref_vector es(m);
rational num = numerator(upper);
rational den = denominator(upper);
rational maxval = num*den;
unsigned bv_size = maxval.get_num_bits();
zero = bv.mk_numeral(rational(0), bv_size);
for (unsigned i = 0; i < soft.size(); ++i) {
pb2bv(soft[i], tmp);
es.push_back(m.mk_ite(tmp, bv.mk_numeral(den*weights[i], bv_size), zero));
}
if (es.empty()) {
objective = bv.mk_numeral(0, bv_size);
}
else {
objective = es[0].get();
for (unsigned i = 1; i < es.size(); ++i) {
objective = bv.mk_bv_add(objective, es[i].get());
}
}
return objective;
}
protected:
typedef bvsls_opt_engine::optimization_result opt_result;
@ -143,37 +175,9 @@ namespace opt {
m_solver->pop(n);
}
private:
// convert soft constraints to bit-vector objective.
expr_ref soft2bv() {
rational upper(1);
expr_ref objective(m);
for (unsigned i = 0; i < m_weights.size(); ++i) {
upper += m_weights[i];
}
expr_ref zero(m), tmp(m);
bv_util bv(m);
expr_ref_vector es(m);
rational num = numerator(upper);
rational den = denominator(upper);
rational maxval = num*den;
unsigned bv_size = maxval.get_num_bits();
zero = bv.mk_numeral(rational(0), bv_size);
for (unsigned i = 0; i < m_soft.size(); ++i) {
m_pb2bv(m_soft[i].get(), tmp);
es.push_back(m.mk_ite(tmp, bv.mk_numeral(den*m_weights[i], bv_size), zero));
}
if (es.empty()) {
objective = bv.mk_numeral(0, bv_size);
}
else {
objective = es[0].get();
for (unsigned i = 1; i < es.size(); ++i) {
objective = bv.mk_bv_add(objective, es[i].get());
}
}
return objective;
}
void assertions2sls() {
expr_ref tmp(m);
@ -224,7 +228,7 @@ namespace opt {
m_bvsls = alloc(bvsls_opt_engine, m, m_params);
}
assertions2sls();
expr_ref objective = soft2bv();
expr_ref objective = soft2bv(m_soft, m_weights);
opt_result res(m);
res.is_sat = l_undef;
try {

View file

@ -26,24 +26,39 @@ Notes:
#include "opt_params.hpp"
#include "pb_decl_plugin.h"
#include "uint_set.h"
#include "pb_preprocess_tactic.h"
#include "aig_tactic.h"
#include "simplify_tactic.h"
#include "tactical.h"
#include "tactic.h"
#include "model_smt2_pp.h"
#include "pb_sls.h"
#include "tactic2solver.h"
#include "pb_preprocess_tactic.h"
#include "aig_tactic.h"
#include "simplify_tactic.h"
#include "nnf_tactic.h"
#include "propagate_values_tactic.h"
#include "max_bv_sharing_tactic.h"
#include "qfbv_tactic.h"
#include "card2bv_tactic.h"
#include "bit_blaster_tactic.h"
#include "tactic2solver.h"
#include "nnf_tactic.h"
#include "opt_sls_solver.h"
#include "sat_solver.h"
#include "goal2sat.h"
namespace opt {
static app_ref mk_bv_vec(ast_manager& m, sort* s) {
bv_util bv(m);
expr_ref_vector vars(m);
unsigned sz = bv.get_bv_size(s);
for (unsigned i = 0; i < sz; ++i) {
std::stringstream strm;
strm << "soft_v" << i;
vars.push_back(m.mk_const(symbol(strm.str().c_str()), m.mk_bool_sort()));
}
return app_ref(bv.mk_bv(vars.size(), vars.c_ptr()), m);
}
// incremental SAT solver.
class inc_sat_solver : public solver {
ast_manager& m;
@ -58,17 +73,29 @@ namespace opt {
statistics m_stats;
app_ref m_soft;
public:
inc_sat_solver(ast_manager& m, params_ref const& p, expr_ref_vector const& soft):
inc_sat_solver(ast_manager& m, params_ref const& p, expr_ref_vector const& soft, vector<rational> const& weights):
m(m), m_solver(p,0), m_params(p),
m_fmls(m), m_map(m), m_soft(m) {
tactic_ref pb2bv = mk_card2bv_tactic(m, m_params);
tactic_ref preamble_st = mk_qfbv_preamble(m, m_params);
m_preprocess = and_then(pb2bv.get(), preamble_st.get(), mk_bit_blaster_tactic(m), mk_aig_tactic());
// m_params.set_bool("elim_vars", false);
m_solver.updt_params(m_params);
params_ref simp2_p = p;
simp2_p.set_bool("som", true);
simp2_p.set_bool("pull_cheap_ite", true);
simp2_p.set_bool("push_ite_bv", false);
simp2_p.set_bool("local_ctx", true);
simp2_p.set_uint("local_ctx_limit", 10000000);
simp2_p.set_bool("flat", true); // required by som
simp2_p.set_bool("hoist_mul", false); // required by som
m_preprocess =
and_then(mk_card2bv_tactic(m, m_params),
mk_simplify_tactic(m),
mk_propagate_values_tactic(m),
using_params(mk_simplify_tactic(m), simp2_p),
mk_max_bv_sharing_tactic(m),
mk_bit_blaster_tactic(m),
mk_aig_tactic());
ptr_vector<sort> sorts;
sorts.resize(soft.size(), m.mk_bool_sort());
func_decl_ref fn(m.mk_func_decl(symbol("Soft"), sorts.size(), sorts.c_ptr(), m.mk_bool_sort()), m);
m_soft = m.mk_app(fn, soft.size(), soft.c_ptr());
}
virtual ~inc_sat_solver() {}
@ -89,7 +116,7 @@ namespace opt {
for (unsigned i = 0; i < m_fmls.size(); ++i) {
g->assert_expr(m_fmls[i].get());
}
g->assert_expr(m_soft);
//g->assert_expr(m_soft);
TRACE("opt", g->display(tout););
m_fmls.reset();
try {
@ -102,18 +129,11 @@ namespace opt {
return l_undef;
}
m_mc = concat(m_mc.get(), mc.get());
// TODO: check that result is a singleton.
if (result.size() != 1) {
IF_VERBOSE(0, verbose_stream() << "size of result is not 1, it is: " << result.size() << "\n";);
return l_undef;
}
g = result[0];
for (unsigned i = 0; i < g->size(); ++i) {
expr* f = g->form(i);
if (is_app_of(f, m_soft->get_decl())) {
g->update(i, m.mk_true());
}
}
TRACE("opt", g->display(tout););
m_goal2sat(*g, m_params, m_solver, m_map);
}
@ -126,6 +146,7 @@ namespace opt {
atom2bool_var::iterator end = m_map.end();
for (; it != end; ++it) {
expr * n = it->m_key;
if (is_app(n) && to_app(n)->get_num_args() > 0) continue;
sat::bool_var v = it->m_value;
switch (sat::value_at(v, ll_m)) {
case l_true:
@ -179,6 +200,8 @@ namespace opt {
}
virtual void updt_params(params_ref const & p) {
m_params = p;
//m_params.set_bool("elim_vars", false);
m_solver.updt_params(m_params);
}
virtual void collect_statistics(statistics & st) const {
@ -325,13 +348,13 @@ namespace opt {
void enable_bvsat() {
if (m_enable_sat && !m_sat_enabled && probe_bv()) {
#if 1
#if 0
tactic_ref pb2bv = mk_card2bv_tactic(m, m_params);
tactic_ref bv2sat = mk_qfbv_tactic(m, m_params);
tactic_ref tac = and_then(pb2bv.get(), bv2sat.get());
solver* sat_solver = mk_tactic2solver(m, tac.get(), m_params);
#else
solver* sat_solver = alloc(inc_sat_solver, m, m_params, m_soft);
solver* sat_solver = alloc(inc_sat_solver, m, m_params, m_soft, m_weights);
#endif
unsigned sz = s().get_num_assertions();
for (unsigned i = 0; i < sz; ++i) {
@ -749,6 +772,69 @@ namespace opt {
virtual ~pbmax() {}
lbool operator()() {
enable_bvsat();
enable_sls();
TRACE("opt", s().display(tout); tout << "\n";
for (unsigned i = 0; i < m_soft.size(); ++i) {
tout << mk_pp(m_soft[i].get(), m) << " " << m_weights[i] << "\n";
}
);
pb_util u(m);
bv_util bv(m);
expr_ref bsoft = sls_solver::soft2bv(m_soft, m_weights);
app_ref var(m);
expr_ref fml(m), val(m), soft(m);
app_ref b(m);
sort* srt = m.get_sort(bsoft);
var = mk_bv_vec(m, srt);
fml = m.mk_eq(bsoft, var);
ptr_vector<sort> sorts;
sorts.resize(var->get_num_args(), m.mk_bool_sort());
func_decl_ref fn(m.mk_func_decl(symbol("Soft"), sorts.size(), sorts.c_ptr(), m.mk_bool_sort()), m);
soft = m.mk_app(fn, var->get_num_args(), var->get_args());
s().assert_expr(fml);
s().assert_expr(soft);
expr_ref_vector nsoft(m);
init();
for (unsigned i = 0; i < m_soft.size(); ++i) {
nsoft.push_back(mk_not(m_soft[i].get()));
}
fml = m.mk_not(bv.mk_ule(bv.mk_numeral(m_upper, m.get_sort(var)), var));
s().assert_expr(fml);
lbool is_sat = s().check_sat(0,0);
while (l_true == is_sat) {
TRACE("opt", s().display(tout<<"looping\n"););
m_model->eval(var, val);
unsigned bv_size;
if (bv.is_numeral(val, m_upper, bv_size)) {
IF_VERBOSE(1, verbose_stream() << "(wmaxsat.pb solve with upper bound: " << m_upper << ")\n";);
TRACE("opt", tout << "new upper: " << m_upper << "\n";);
fml = m.mk_not(bv.mk_ule(bv.mk_numeral(m_upper, m.get_sort(var)), var));
// fml = m.mk_not(u.mk_ge(nsoft.size(), m_weights.c_ptr(), nsoft.c_ptr(), m_upper));
// solver::scoped_push _scope2(s());
s().assert_expr(fml);
}
is_sat = s().check_sat(0,0);
if (m_cancel) {
is_sat = l_undef;
}
if (is_sat == l_true) {
s().get_model(m_model);
}
}
if (is_sat == l_false) {
is_sat = l_true;
m_lower = m_upper;
}
TRACE("opt", tout << "lower: " << m_lower << "\n";);
return is_sat;
}
#if 0
lbool operator()() {
enable_bvsat();
enable_sls();
@ -799,6 +885,7 @@ namespace opt {
TRACE("opt", tout << "lower: " << m_lower << "\n";);
return is_sat;
}
#endif
};
// ------------------------------------------------------