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move sls core functionality to be independent of tactic

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Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
This commit is contained in:
Nikolaj Bjorner 2023-12-22 12:00:52 -08:00
parent 606a9a7409
commit e321643bf5
13 changed files with 60 additions and 56 deletions
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1
src/params/CMakeLists.txt
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@ -15,6 +15,7 @@ z3_add_component(params
poly_rewriter_params.pyg
rewriter_params.pyg
seq_rewriter_params.pyg
sls_params.pyg
solver_params.pyg
tactic_params.pyg
EXTRA_REGISTER_MODULE_HEADERS

26
src/params/sls_params.pyg Normal file
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@ -0,0 +1,26 @@
def_module_params('sls',
export=True,
description='Experimental Stochastic Local Search Solver (for QFBV only).',
params=(max_memory_param(),
('max_restarts', UINT, UINT_MAX, 'maximum number of restarts'),
('walksat', BOOL, 1, 'use walksat assertion selection (instead of gsat)'),
('walksat_ucb', BOOL, 1, 'use bandit heuristic for walksat assertion selection (instead of random)'),
('walksat_ucb_constant', DOUBLE, 20.0, 'the ucb constant c in the term score + c * f(touched)'),
('walksat_ucb_init', BOOL, 0, 'initialize total ucb touched to formula size'),
('walksat_ucb_forget', DOUBLE, 1.0, 'scale touched by this factor every base restart interval'),
('walksat_ucb_noise', DOUBLE, 0.0002, 'add noise 0 <= 256 * ucb_noise to ucb score for assertion selection'),
('walksat_repick', BOOL, 1, 'repick assertion if randomizing in local minima'),
('scale_unsat', DOUBLE, 0.5, 'scale score of unsat expressions by this factor'),
('paws_init', UINT, 40, 'initial/minimum assertion weights'),
('paws_sp', UINT, 52, 'smooth assertion weights with probability paws_sp / 1024'),
('wp', UINT, 100, 'random walk with probability wp / 1024'),
('vns_mc', UINT, 0, 'in local minima, try Monte Carlo sampling vns_mc many 2-bit-flips per bit'),
('vns_repick', BOOL, 0, 'in local minima, try picking a different assertion (only for walksat)'),
('restart_base', UINT, 100, 'base restart interval given by moves per run'),
('restart_init', BOOL, 0, 'initialize to 0 or random value (= 1) after restart'),
('early_prune', BOOL, 1, 'use early pruning for score prediction'),
('random_offset', BOOL, 1, 'use random offset for candidate evaluation'),
('rescore', BOOL, 1, 'rescore/normalize top-level score every base restart interval'),
('track_unsat', BOOL, 0, 'keep a list of unsat assertions as done in SAT - currently disabled internally'),
('random_seed', UINT, 0, 'random seed')
))