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there are some different sources for the performance regression illustrated by the example. The mitigations will be enabled separately: - m_bv_to_propagate is too expensive - lp_bound_propagator misses equalities in two different ways: - it resets row checks after backtracking even though they could still propagate - it misses equalities for fixed rows when the fixed constant value does not correspond to a fixed variable. FYI @levnach
36 lines
937 B
C++
36 lines
937 B
C++
/*++
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Copyright (c) 2017 Microsoft Corporation
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Module Name:
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<name>
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Abstract:
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<abstract>
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Author:
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Lev Nachmanson (levnach)
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Revision History:
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--*/
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#include <memory>
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#include "util/vector.h"
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#include "smt/params/smt_params_helper.hpp"
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#include "math/lp/lp_settings_def.h"
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template bool lp::vectors_are_equal<double>(vector<double> const&, vector<double> const&);
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template bool lp::vectors_are_equal<lp::mpq>(vector<lp::mpq > const&, vector<lp::mpq> const&);
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void lp::lp_settings::updt_params(params_ref const& _p) {
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smt_params_helper p(_p);
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m_enable_hnf = p.arith_enable_hnf();
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m_propagate_eqs = p.arith_propagate_eqs();
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print_statistics = p.arith_print_stats();
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m_print_external_var_name = p.arith_print_ext_var_names();
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report_frequency = p.arith_rep_freq();
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m_simplex_strategy = static_cast<lp::simplex_strategy_enum>(p.arith_simplex_strategy());
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m_nlsat_delay = p.arith_nl_delay();
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}
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