ifix
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be12fb92d6
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@ -524,6 +524,7 @@ static char tmpbuf[YAP_BUF_SIZE];
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#define BEGIN_ERRORS() \
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static Term mkerrort(yap_error_number e, Term culprit, Term info) { \
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if (!e || !info) return TermNil; \
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switch (e) {
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#define E0(A, B) \
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@ -1066,7 +1067,9 @@ static Int get_exception(USES_REGS1) {
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(i->errorClass == EVENT || i->errorNo == SYNTAX_ERROR)) {
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t = i->errorRawTerm;
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} else if (i->culprit != NULL) {
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t = mkerrort(i->errorNo, Yap_BufferToTerm(i->culprit, TermNil),
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Term culprit = Yap_BufferToTerm(i->culprit, TermNil);
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if (culprit == 0) culprit = TermNil;
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t = mkerrort(i->errorNo,culprit ,
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MkSysError(i));
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} else {
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t = mkerrort(i->errorNo, TermNil, MkSysError(i));
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@ -1161,11 +1161,10 @@ bool Yap_initStream(int sno, FILE *fd, const char *name, const char *io_mode,
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st->encoding = encoding;
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}
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name = Yap_guessFileName(fd, sno, YAP_FILENAME_MAX);
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if (!name)
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st->name = Yap_guessFileName(fd, sno, YAP_FILENAME_MAX);
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if (!st->name)
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Yap_Error(SYSTEM_ERROR_INTERNAL, file_name,
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"Yap_guessFileName failed: opening a file without a name");
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st->name = Yap_LookupAtom(name);
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st->user_name = file_name;
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st->file = fd;
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st->linepos = 0;
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36
os/streams.c
36
os/streams.c
@ -315,30 +315,34 @@ bool Yap_SetCurInpPos(
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return true;
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}
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char *Yap_guessFileName(FILE *file, int sno, size_t max) {
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Atom Yap_guessFileName(FILE *file, int sno, size_t max) {
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size_t maxs = Yap_Max(1023, max-1);
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int i = push_text_stack();
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char *nameb = Malloc(maxs + 1);
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if (!file) {
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strncpy(nameb, "memory buffer", maxs);
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return pop_output_text_stack(i,nameb);
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Atom at = Yap_LookupAtom("mem");
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return at;
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}
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int f = fileno(file);
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if (f < 0) {
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strcpy(nameb, "???");
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return pop_output_text_stack(i,nameb);
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Atom at = Yap_LookupAtom("fmem");
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return at;
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}
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int i = push_text_stack();
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#if __linux__
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char *path = Malloc(1024);
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if (snprintf(path, 1023, "/proc/self/fd/%d", f) &&
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readlink(path, nameb, maxs)) {
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return pop_output_text_stack(i,nameb);
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char *path = Malloc(1024), *nameb = Malloc(maxs+1);
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size_t len;
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if ((len = snprintf(path, 1023, "/proc/self/fd/%d", f)) >= 0 &&
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(len = readlink(path, nameb, maxs)) > 0) {
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nameb[len] = '\0';
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Atom at = Yap_LookupAtom(nameb);
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pop_text_stack(i);
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return at;
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}
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#elif __APPLE__
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if (fcntl(f, F_GETPATH, nameb) != -1) {
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return pop_output_text_stack(i,nameb);
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Atom at = Yap_LookupAtom(nameb);
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pop_text_stack(i);
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return at;
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}
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#else
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TCHAR *path = Malloc(MAX_PATH + 1);
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@ -351,7 +355,9 @@ char *Yap_guessFileName(FILE *file, int sno, size_t max) {
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for (i = 0; i < strlen(path); i++)
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ptr += put_utf8(ptr, path[i]);
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*ptr = '\0';
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return pop_output_text_stack(i,nameb);
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Atom at = Yap_LookupAtom(nameb);
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pop_text_stack(i);
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return at;
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}
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#endif
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if (!StreamName(sno)) {
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@ -359,7 +365,7 @@ char *Yap_guessFileName(FILE *file, int sno, size_t max) {
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return NULL;
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}
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pop_text_stack(i);
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return RepAtom(AtomOfTerm(StreamName(sno)))->StrOfAE;
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return AtomOfTerm(StreamName(sno));
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}
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static Int representation_error(int sno, Term t2 USES_REGS) {
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@ -126,7 +126,7 @@ extern X_API Term Yap_BufferToTermWithPrioBindings(const char *s, Term opts, Te
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int prio);
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extern FILE *Yap_GetInputStream(Term t, const char *m);
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extern FILE *Yap_GetOutputStream(Term t, const char *m);
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extern char *Yap_guessFileName(FILE *f, int sno, size_t max);
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extern Atom Yap_guessFileName(FILE *f, int sno, size_t max);
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extern void Yap_plwrite(Term t, struct stream_desc *mywrite, int max_depth,
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int flags, int priority);
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@ -5,6 +5,7 @@ set (PROGRAMS
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dtproblog.yap
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aproblog.yap
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problog_learning.yap
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problog_lbfgs.yap
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problog_learning_lbdd.yap
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)
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@ -1,4 +1,4 @@
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%xb%%% -*- Mode: Prolog; -*-
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%%% -*- Mode: Prolog; -*-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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@ -285,6 +285,7 @@ save_model:-
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%=
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%========================================================================
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check_examples :-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Check example IDs
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@ -602,7 +603,8 @@ init_one_query(QueryID,Query,Type) :-
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->
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format_learning(3,' Reuse existing BDD ~q~n~n',[QueryID])
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;
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b_setval(problog_required_keep_ground_ids,false),
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b_setval(problog_required_keep_ground_ids,false),
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(QueryID mod 100 =:= 0 -> writeln(QueryID) ; true),
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problog_flag(init_method,(Query,N,Bdd,graph2bdd(X,Y,N,Bdd))),
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Query =.. [_,X,Y]
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->
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@ -915,13 +917,10 @@ bind_maplist([Node-Theta|MapList], Slope, X) :-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% start calculate gradient
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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user:evaluate(L, X0,Grad,N,_,_) :-
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user:evaluate(LLH_Training_Queries, X,Grad,N,_,_) :-
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Handle = user_error,
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problog_flag(sigmoid_slope,Slope),
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forall(between(0,N1,I),
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(V is random, X[I] <== V) %, sigmoid(X[I],Slope,Probs[I]) )
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)
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Probs = X, %<== array[N] of floats,
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Probs = X,
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N1 is N-1,
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forall(between(0,N1,I),
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(Grad[I] <== 0.0) %, sigmoid(X[I],Slope,Probs[I]) )
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@ -931,12 +930,10 @@ user:evaluate(L, X0,Grad,N,_,_) :-
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LLs
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),
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sum_list(LLs,LLH_Training_Queries),
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forall(tunable_fact(FactID,GroundTruth), (Z<==X[FactID],W<==Grad[FactID])),
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L = LLH_Training_Queries.
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forall(tunable_fact(FactID,GroundTruth), (Z<==X[FactID],W<==Grad[FactID],writeln(FactID:(W->Z)))).
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compute_grad(N, X, Grad, Probs, Slope, Handle, LL) :-
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user:example(QueryID,Query,QueryProb,Type),
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recorded(QueryID, BDD, _),
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BDD = bdd(Dir, GradTree, MapList),
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bind_maplist(MapList, Slope, Probs),
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qprobability(BDD,Slope,BDDProb),
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@ -947,8 +944,8 @@ gradientpair(BDD,Slope,BDDProb, QueryProb, Grad) :-
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qgradient(BDD, Slope, FactID, GradValue),
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% writeln(FactID),
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G0 <== Grad[FactID],
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GN is G0-GradValue*(QueryProb-BDDProb),
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%writeln(FactID:(G0->GN)),
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writeln( GN is G0-GradValue*(QueryProb-BDDProb)), GN is G0-GradValue*(QueryProb-BDDProb),
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writeln(FactID:(G0->GN)),
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Grad[FactID] <== GN.
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gradientpair(_BDD,_Slope,_BDDProb, _Grad).
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@ -624,7 +624,6 @@ init_one_query(QueryID,Query,Type) :-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% if BDD file does not exist, call ProbLog
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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writeln(QueryID),
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(
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recorded(QueryID, _, _)
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->
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@ -659,7 +658,6 @@ init_one_query(QueryID,Query,Type) :-
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maplist_to_hash(MapList, H0, Hash),
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Tree \= [],
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%put_code(0'.),
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writeln(QueryID),
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tree_to_grad(Tree, Hash, [], Grad),
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recordz(QueryID,bdd(Dir, Grad, MapList),_)
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).
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@ -739,7 +737,6 @@ gradient(QueryID, l, Slope) :-
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bind_maplist(MapList),
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run_sp(Tree, Slope, 1.0, Prob0),
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(Dir == 1 -> Prob0 = Prob ; Prob is 1.0-Prob0),
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%writeln(QueryID:Prob),
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assert(query_probability_intern(QueryID,Prob)),
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fail.
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gradient(_QueryID, l, _).
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@ -156,10 +156,8 @@ yes
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/** @pred lbfgs_initialize(+N, -SolverInfo)
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The same as before, except that the user module is the default
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value.
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Example
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Do initial memory allocation and a reference to a descriptor.
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~~~~
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lbfgs_initialize(1, Block)
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~~~~~
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@ -169,26 +167,25 @@ lbfgs_initialize(N,X,t(N,X,U,Params)) :-
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lbfgs_initialize(N,X,U,t(N,X,U,Params)) :-
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lbfgs_defaults(Params),
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integer(N),
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N>0,
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% check whether there are such call back functions
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lbfgs_grab(N,X).
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integer(N),
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N>0,
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lbfgs_grab(N,X).
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% install call back predicates in the user module which call
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% the predicates given by the arguments
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/** @pred lbfgs_finalize/0
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/** @pred lbfgs_finalize(+State)
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Clean up the memory.
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*/
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lbfgs_finalize(t(N,X,U,Params)) :-
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lbfgs_release(X) ,
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lbfgs_release_parameters(Params) .
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/** @pred lbfgs_run/2
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Do the work.
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/** @pred lbfgs_run(+State, -FinalOutput)
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run the algorithm. output the final score of the function being optimised
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*/
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lbfgs_run(t(N,X,U,Params),FX) :-
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lbfgs(N,X, Params, U, FX).
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