5143aebb01
CLPBN fixes Handle overflows when allocating big clauses properly. git-svn-id: https://yap.svn.sf.net/svnroot/yap/trunk@1193 b08c6af1-5177-4d33-ba66-4b1c6b8b522a
306 lines
7.7 KiB
Prolog
306 lines
7.7 KiB
Prolog
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:- module(clpbn, [{}/1]).
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:- use_module(library(atts)).
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:- use_module(library(lists)).
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:- use_module(library(terms)).
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:- op( 500, xfy, with).
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%
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% avoid the overhead of using goal_expansion/2.
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%
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:- multifile
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user:term_expansion/2.
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:- dynamic
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user:term_expansion/2.
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:- multifile
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user:term_expansion/2.
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:- attribute key/1, dist/1, evidence/1, done/1, starter/0.
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:- use_module('clpbn/bnt', [dump_as_bnt/2,
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check_if_bnt_done/1
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]).
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:- use_module('clpbn/vel', [vel/3,
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check_if_vel_done/1
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]).
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:- use_module('clpbn/evidence', [add_to_evidence/1,
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execute_pre_evidence/0
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]).
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use(vel).
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{Var = Key with Dist} :-
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% key_entry(Key,Indx),
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% array_element(clpbn,Indx,El),
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% attributes:put_att(El,3,indx(Indx)),
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put_atts(El,[key(Key),dist((E->Domain))]),
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extract_dist(Dist, E, Domain),
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add_evidence(Var,El).
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extract_dist(V, (Tab.Inps), Domain) :- var(V), !,
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V = p(Domain, Tab, Inps).
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extract_dist(p(Domain, Tab, []), Tab, Domain) :- !.
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extract_dist(p(Domain, Tab, Inps), (Tab.Inps), Domain).
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extract_dist(p(Domain, Tab), Tab, Domain).
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check_constraint(Constraint, _, _, Constraint) :- var(Constraint), !.
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check_constraint((A->D), _, _, (A->D)) :- var(A), !.
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check_constraint((([A|B].L)->D), Vars, NVars, (([A|B].NL)->D)) :- !,
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check_cpt_input_vars(L, Vars, NVars, NL).
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check_constraint(Dist, _, _, Dist).
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check_cpt_input_vars([], _, _, []).
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check_cpt_input_vars([V|L], Vars, NVars, [NV|NL]) :-
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replace_var(Vars, V, NVars, NV),
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check_cpt_input_vars(L, Vars, NVars, NL).
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replace_var([], V, [], V).
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replace_var([V|_], V0, [NV|_], NV) :- V == V0, !.
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replace_var([_|Vars], V, [_|NVars], NV) :-
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replace_var(Vars, V, NVars, NV).
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generate_key_goal(Head, Name, Key, clpbn_aux:KeyGoal, KeyDesc, Id) :-
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functor(Head, _, Ar),
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atom_chars(Name, NaS),
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number_codes(Ar, ArS),
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append("/", ArS, S1),
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append(NaS, S1, S2),
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append("key_", S2, SNNa),
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atom_chars(NNa, SNNa),
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append(Key,[Id],LArgs),
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KeyGoal =.. [NNa|LArgs],
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KeyDesc =.. [Name|Key],
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length(Key, N),
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NAr is N+1,
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abolish(clpbn_aux:(NNa/NAr)),
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reset_clpbn,
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dynamic_predicate(clpbn_aux:(NNa/NAr), logical),
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assert((clpbn_aux:KeyGoal :- new_key(Id), asserta(clpbn_aux:(KeyGoal :- !)))).
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new_key(Key) :-
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get_value(clpbn_key, Key),
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X is Key+1,
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set_value(clpbn_key, X).
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skolem_vars([], []).
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skolem_vars([[V|_]|LV], [V|NLV]) :-
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skolem_vars(LV, NLV).
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skolem_new_vars([], [], []).
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skolem_new_vars([[_|B]|Sks], [NV|Vs], [[NV|B]|NSks]) :-
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skolem_new_vars(Sks, Vs, NSks).
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fresh_vars([], [], B, B).
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fresh_vars([V|LV], [NV|NLV], (clpbn:add_evidence(V,NV),B), B0) :-
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fresh_vars(LV, NLV, B, B0).
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add_evidence(V,NV) :-
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nonvar(V), !,
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clpbn:put_atts(NV,evidence(V)).
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add_evidence(V,V).
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%
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% called by top-level
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%
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project_attributes(GVars, AVars) :-
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AVars = [_|_], !,
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execute_pre_evidence,
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sort_vars_by_key(AVars,SortedAVars,DiffVars),
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get_clpbn_vars(GVars,CLPBNGVars),
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write_out(CLPBNGVars, SortedAVars,DiffVars).
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project_attributes(_, _).
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get_clpbn_vars([],[]).
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get_clpbn_vars([V|GVars],[V|CLPBNGVars]) :-
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get_atts(V, [key(_)]), !,
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get_clpbn_vars(GVars,CLPBNGVars).
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get_clpbn_vars([_|GVars],CLPBNGVars) :-
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get_clpbn_vars(GVars,CLPBNGVars).
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sort_vars_by_key(AVars,SortedAVars, UnifiableVars) :-
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get_keys(AVars, KeysVars),
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keysort(KeysVars, KVars),
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merge_same_key(KVars, SortedAVars, [], UnifiableVars).
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get_keys([], []).
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get_keys([V|AVars], [K-V|KeysVars]) :-
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get_atts(V, [key(K)]),
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get_keys(AVars, KeysVars).
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merge_same_key([], [], _, []).
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merge_same_key([K1-V1,K2-V2|Vs], SortedAVars, Ks, UnifiableVars) :-
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K1 == K2, !, V1 = V2,
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merge_same_key([K1-V1|Vs], SortedAVars, Ks, UnifiableVars).
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merge_same_key([K1-V1,K2-V2|Vs], [V1|SortedAVars], Ks, [K1|UnifiableVars]) :-
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(in_keys(K1, Ks) ; \+ \+ K1 = K2), !,
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add_to_keys(K1, Ks, NKs),
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merge_same_key([K2-V2|Vs], SortedAVars, NKs, UnifiableVars).
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merge_same_key([K-V|Vs], [V|SortedAVars], Ks, UnifiableVars) :-
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add_to_keys(K, Ks, NKs),
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merge_same_key(Vs, SortedAVars, NKs, UnifiableVars).
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in_keys(K1,[K|_]) :- \+ \+ K1 = K, !.
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in_keys(K1,[_|Ks]) :-
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in_keys(K1,Ks).
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add_to_keys(K1, Ks, Ks) :- ground(K1), !.
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add_to_keys(K1, Ks, [K1|Ks]).
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write_out(GVars, AVars, DiffVars) :-
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use(vel),
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vel(GVars, AVars, DiffVars).
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write_out(GVars, AVars, _) :-
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use(bnt),
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dump_as_bnt(GVars, AVars).
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% starter_vars(GVars).
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starter_vars([]).
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starter_vars([Var|Vs]) :-
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get_atts(Var, [key(_)]),
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put_atts(Var, [starter]),
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starter_vars(Vs).
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get_bnode(Var, Goal) :-
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get_atts(Var, [key(Key),dist(X)]),
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dist_goal(X, Key, Goal0),
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include_evidence(Var, Goal0, Key, Goali),
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include_starter(Var, Goali, Key, Goal).
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include_evidence(Var, Goal0, Key, ((Key:-Ev),Goal0)) :-
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get_atts(Var, [evidence(Ev)]), !.
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include_evidence(_, Goal0, _, Goal0).
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include_starter(Var, Goal0, Key, ((:-Key),Goal0)) :-
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get_atts(Var, [starter]), !.
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include_starter(_, Goal0, _, Goal0).
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dist_goal(norm(M,V), Key, (Key=norm(M,V))) :- !.
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dist_goal(avg(L), Key, (Key=avg(L))) :- !.
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dist_goal(Dist, Key, (Key=NDist)) :-
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term_variables(Dist, DVars),
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process_vars(DVars, DKeys),
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my_copy_term(Dist,DVars, NDist,DKeys).
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my_copy_term(V, DVars, Key, DKeys) :-
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find_var(DVars, V, Key, DKeys).
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my_copy_term(A, _, A, _) :- atomic(A), !.
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my_copy_term(T, Vs, NT, Ks) :-
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T =.. [Na|As],
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my_copy_terms(As, Vs, NAs, Ks),
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NT =.. [Na|NAs].
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my_copy_terms([], _, [], _).
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my_copy_terms([A|As], Vs, [NA|NAs], Ks) :-
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my_copy_term(A, Vs, NA, Ks),
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my_copy_terms(As, Vs, NAs, Ks).
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find_var([V1|_], V, Key, [Key|_]) :- V1 == V, !.
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find_var([_|DVars], V, Key, [_|DKeys]) :-
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find_var(DVars, V, Key, DKeys).
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process_vars([], []).
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process_vars([V|Vs], [K|Ks]) :-
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process_var(V, K),
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process_vars(Vs, Ks).
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process_var(V, K) :- get_atts(V, [key(K)]), !.
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% oops: this variable has no attributes.
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process_var(V, _) :- throw(error(instantiation_error,clpbn(attribute_goal(V)))).
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%
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% unify a CLPBN variable with something.
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%
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verify_attributes(Var, T, Goals) :-
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get_atts(Var, [key(Key),dist(Dist)]), !,
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/* oops, someone trying to bind a clpbn constrained variable */
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Goals = [],
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bind_clpbn(T, Var, Key, Dist).
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verify_attributes(_, _, []).
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bind_clpbn(T, Var, Key, Dist) :- var(T),
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get_atts(T, [key(Key1),dist(Dist1)]), !,
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bind_clpbns(Key, Dist, Key1, Dist1),
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(
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get_atts(T, [evidence(Ev1)]) ->
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bind_evidence_from_extra_var(Ev1,Var)
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;
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get_atts(Var, [evidence(Ev)]) ->
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bind_evidence_from_extra_var(Ev,T)
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;
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true).
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bind_clpbn(_, Var, _, _) :-
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use(bnt),
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check_if_bnt_done(Var), !.
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bind_clpbn(_, Var, _, _) :-
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use(vel),
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check_if_vel_done(Var), !.
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bind_clpbn(T, Var, Key0, _) :-
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get_atts(Var, [key(Key0)]), !,
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(
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Key = Key0 -> true
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;
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format(user_error, "trying to force evidence ~w through unification with key ~w~n",[T, Key])
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).
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fresh_attvar(Var, NVar) :-
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get_atts(Var, LAtts),
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put_atts(NVar, LAtts).
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bind_clpbns(Key, Dist, Key, Dist1) :- !,
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( Dist = Dist1 -> true ; throw(error(domain_error(bayesian_domain),bind_clpbns))).
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bind_clpbns(_, _, _, _, _) :-
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format(user_error, "unification of two bayesian vars not supported~n").
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bind_evidence_from_extra_var(Ev1,Var) :-
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get_atts(Var, [evidence(Ev0)]),!,Ev0 = Ev1.
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bind_evidence_from_extra_var(Ev1,Var) :-
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put_atts(Var, [evidence(Ev1)]).
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:- yap_flag(toplevel_hook,clpbn:init_clpbn).
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hash_table_size(300000).
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init_clpbn :-
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reset_clpbn,
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fail.
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%init_clpbn :-
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% hash_table_size(HashTableSize),
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% array(clpbn,HashTableSize),
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% catch(static_array(keys,HashTableSize,term),_,true).
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random_tmp_number(I) :-
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get_value(clpbn_random_tmp_number,I),
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I1 is I+1,
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set_value(clpbn_random_tmp_number,I1).
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reset_clpbn :-
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current_predicate(_, clpbn_aux:P),
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retract(clpbn_aux:(P :- !)),
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fail.
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reset_clpbn :-
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set_value(clpbn_key, 0), fail.
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reset_clpbn :-
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set_value(clpbn_random_tmp_number, 0), fail.
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reset_clpbn.
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user:term_expansion((A :- {}), ( :- true )) :- !, % evidence
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prolog_load_context(module, M),
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add_to_evidence(M:A).
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