Files
mercury/compiler/term_constr_fixpoint.m
Zoltan Somogyi 9ba0dca846 Describe pred_origins separarely for users & devs.
compiler/pred_name.m:
    Replace pred_info_id_to_string, which was intended to generate ids
    of predicates for both users and developers, with two predicates,
    pred_origin_to_{user,dev}_string, that each target only one audience.
    The version for developers includes all the details that compiler
    developers may need, while the version for users does not, since
    it is just useless clutter from their point view.

    The new versions also take only a pred_origin as input, not the whole
    pred_info containing the pred_origin. This is needed, because for
    the base predicate whose transformation a pred_origin may record,
    we have *only* its pred_origin, not its pred_info.

    Record more information for some pred_origins. Record the promise type
    for predicates created for assertions (which we can longer look up
    in the pred_info). And record the file name and line number of
    initialise and finalise declarations, since a development wouldn't like
    being told "this is a predicate that implements an initialise declaration"
    if the module contained more than one, and the difference actually
    mattered.

    Switch from record pred_form arities to user arities for the pred_origins
    of tabling aux predicates, for consistency with other pred_origins.

compiler/hlds_out_util.m:
    Make the corresponding changes to the functions that used to call
    pred_info_id_to_string.

    Use pred_origin_to_dev_string to identify procedures that some cons_ids
    can refer to, since those cons_ids can appear only in compiler-generated
    code, which is of interest only to developers.

compiler/prog_item.m:
    Switch from record pred_form arities to user arities for the parse_tree
    version of pred_origins of tabling aux predicates.

compiler/prog_out.m:
    Provide versions of some functions that do not put quotes around
    the sym_names when converting them to strings. The
    pred_origin_to_dev_string does not want quotes, because our use of
    unmatched quotes `' can screw up syntax highlighting in HLDS dumps.

compiler/accumulator.m:
compiler/add_clause.m:
compiler/add_pragma_tabling.m:
compiler/add_pred.m:
compiler/cse_detection.m:
compiler/dead_proc_elim.m:
compiler/deep_profiling.m:
compiler/det_analysis.m:
compiler/hlds_out_goal.m:
compiler/hlds_out_module.m:
compiler/hlds_out_pred.m:
compiler/implementation_defined_literals.m:
compiler/make_hlds_passes.m:
compiler/mercury_compile_llds_back_end.m:
compiler/mode_errors.m:
compiler/modes.m:
compiler/par_conj_gen.m:
compiler/passes_aux.m:
compiler/pd_debug.m:
compiler/proc_gen.m:
compiler/purity.m:
compiler/structure_reuse.analysis.m:
compiler/structure_reuse.domain.m:
compiler/structure_reuse.indirect.m:
compiler/structure_sharing.analysis.m:
compiler/term_constr_build.m:
compiler/term_constr_data.m:
compiler/term_constr_fixpoint.m:
compiler/term_constr_pass2.m:
compiler/term_constr_util.m:
compiler/tupling.m:
compiler/unused_args.m:
    Conform to the changes above.
2022-07-25 13:54:38 +10:00

492 lines
18 KiB
Mathematica

%-----------------------------------------------------------------------------%
% vim: ft=mercury ts=4 sw=4 et
%-----------------------------------------------------------------------------%
% Copyright (C) 2002, 2005-2011 The University of Melbourne.
% This file may only be copied under the terms of the GNU General
% Public License - see the file COPYING in the Mercury distribution.
%-----------------------------------------------------------------------------%
%
% File: term_constr_fixpoint.m.
% Main author: juliensf.
%
% TODO:
% * code for handling calls could do with a cleanup.
%
% NOTE: the code in this module should not refer to things in the HLDS
% (with the exception of the termination2_info slots in the
% proc_sub_info structure)
%
%-----------------------------------------------------------------------------%
:- module transform_hlds.term_constr_fixpoint.
:- interface.
:- import_module hlds.
:- import_module hlds.hlds_module.
:- import_module hlds.hlds_pred.
:- import_module transform_hlds.term_constr_data.
:- import_module transform_hlds.term_constr_errors.
:- import_module list.
:- import_module set.
%-----------------------------------------------------------------------------%
% Derive the argument size constraints for the procedures in this SCC
% that need them.
%
:- pred do_fixpoint_calculation(fixpoint_options::in, set(pred_proc_id)::in,
int::in, list(term2_error)::out, module_info::in, module_info::out) is det.
% This structure holds the values of options used to control
% the fixpoint calculation.
%
:- type fixpoint_options.
% fixpoint_options_init(Widening, MaxMatrixSize):
%
% Initialise the fixpoint_options structure. `Widening' is the threshold
% after which we invoke widening. `MaxMatrixSize' specifies the maximum
% number of constraints we allow a matrix to grow to before we abort
% and try other approximations.
%
:- func fixpoint_options_init(widening, int) = fixpoint_options.
%-----------------------------------------------------------------------------%
%-----------------------------------------------------------------------------%
:- implementation.
:- import_module hlds.hlds_out.
:- import_module hlds.hlds_out.hlds_out_util.
:- import_module hlds.passes_aux.
:- import_module libs.
:- import_module libs.globals.
:- import_module libs.lp_rational.
:- import_module libs.options.
:- import_module libs.polyhedron.
:- import_module transform_hlds.term_constr_main_types.
:- import_module transform_hlds.term_constr_util.
:- import_module bool.
:- import_module int.
:- import_module io.
:- import_module maybe.
:- import_module require.
:- import_module string.
:- import_module term.
:- import_module varset.
%-----------------------------------------------------------------------------%
%
% Perform the fixpoint calculation on the AR.
%
% The information for each procedure in the SCC returned by a single
% iteration of the fixpoint calculation.
%
:- type iteration_info
---> iteration_info(
ii_ppid :: pred_proc_id,
ii_arg_size_poly :: polyhedron,
ii_change_flag :: bool
).
:- type iteration_infos == list(iteration_info).
do_fixpoint_calculation(Options, SCC, Iteration, [], !ModuleInfo) :-
AbstractSCC = get_abstract_scc(!.ModuleInfo, SCC),
% Carry out one iteration of fixpoint computation. We need to do this
% for all SCCs at least once in order to obtain the argument size
% constraints for non-recursive procedures. We could do that during
% the build phase for non-recursive procedures (and in fact used to)
% but the code ends up being a horrible mess.
%
set.foldl(
term_iterate_over_abstract_proc(!.ModuleInfo, Options, Iteration),
AbstractSCC, [], IterationInfos),
ChangeFlag = or_flags(IterationInfos),
(
ChangeFlag = yes,
list.foldl(update_size_info, IterationInfos, !ModuleInfo),
do_fixpoint_calculation(Options, SCC, Iteration + 1,
_, !ModuleInfo)
;
ChangeFlag = no,
% If one of the polyhedra in the SCC has `false' as its
% argument size constraint then the analysis failed. In that
% case set the argument size constraints for every procedure
% in the SCC to `true'.
% XXX Should this be happening?
%
( if
list.member(OneInfo, IterationInfos),
polyhedron.is_empty(OneInfo ^ ii_arg_size_poly)
then
ChangePoly =
( func(Info0) = Info :-
Identity = polyhedron.universe,
Info = Info0 ^ ii_arg_size_poly := Identity
),
list.foldl(update_size_info, list.map(ChangePoly, IterationInfos),
!ModuleInfo)
else
list.foldl(update_size_info, IterationInfos, !ModuleInfo)
)
).
:- func or_flags(iteration_infos) = bool.
or_flags([]) = no.
or_flags([Info | Infos]) = bool.or(Info ^ ii_change_flag, or_flags(Infos)).
:- pred update_size_info(iteration_info::in, module_info::in, module_info::out)
is det.
update_size_info(Info, !ModuleInfo) :-
Info = iteration_info(PPId, Poly, _),
update_arg_size_info(PPId, Poly, !ModuleInfo).
%-----------------------------------------------------------------------------%
:- pred term_iterate_over_abstract_proc(module_info::in, fixpoint_options::in,
int::in, abstract_proc::in,
iteration_infos::in, iteration_infos::out) is det.
term_iterate_over_abstract_proc(ModuleInfo, Options, Iteration, Proc,
!IterationInfo) :-
WideningInfo = Options ^ fo_widening,
MaxMatrixSize = Options ^ fo_max_size,
AbstractPPId = Proc ^ ap_ppid,
AbstractPPId = real(PPId),
SizeVarSet = Proc ^ ap_size_varset,
Zeros = Proc ^ ap_zeros,
HeadVars = Proc ^ ap_head_vars,
% Print out the debugging traces.
module_info_get_globals(ModuleInfo, Globals),
globals.lookup_bool_option(Globals, debug_term, DebugTerm),
(
DebugTerm = yes,
trace [io(!IO)] (
get_debug_output_stream(ModuleInfo, DebugStream, !IO),
PPIdStr = pred_proc_id_to_dev_string(ModuleInfo, PPId),
io.write(DebugStream, PPId, !IO),
io.format(DebugStream, ": %s ", [s(PPIdStr)], !IO),
write_size_vars(DebugStream, SizeVarSet, HeadVars, !IO),
io.format(DebugStream, "\nIteration %d:\n", [i(Iteration)], !IO),
io.flush_output(DebugStream, !IO)
)
;
DebugTerm = no
),
% Begin by traversing the procedure and calculating the
% IR approximation for this iteration.
Info = init_fixpoint_info(ModuleInfo, SizeVarSet, PPId, MaxMatrixSize,
HeadVars, Zeros),
some [!Polyhedron] (
term_traverse_abstract_goal(Info, Proc ^ ap_body, polyhedron.universe,
!:Polyhedron),
polyhedron.optimize(SizeVarSet, !Polyhedron),
% XXX Bug workaround - the build pass sometimes stuffs up
% the local variable set for if-then-elses.
% (See comments in term_constr_build.m).
BugConstrs0 = polyhedron.constraints(!.Polyhedron),
ConstrVarsSet = get_vars_from_constraints(BugConstrs0),
HeadVarSet = set.list_to_set(HeadVars),
BadVarsSet = set.difference(ConstrVarsSet, HeadVarSet),
BadVars = set.to_sorted_list(BadVarsSet),
polyhedron.project_polyhedron(SizeVarSet, BadVars, !Polyhedron),
polyhedron.optimize(SizeVarSet, !Polyhedron),
% XXX End of bug workaround.
% Print out the polyhedron obtained during this iteration.
(
DebugTerm = yes,
trace [io(!IO)] (
get_debug_output_stream(ModuleInfo, DebugStream, !IO),
polyhedron.write_polyhedron(DebugStream, SizeVarSet,
!.Polyhedron, !IO),
io.nl(DebugStream, !IO),
io.flush_output(DebugStream, !IO)
)
;
DebugTerm = no
),
% Look up the constraints obtained during the previous iteration.
ArgSizeInfo = lookup_proc_constr_arg_size_info(ModuleInfo, PPId),
% NOTE: `!.Polyhedron' is the set of constraints obtained by
% *this* iteration. `OldPolyhedron' is the set of constraints
% obtained by the *previous* iteration -- which may in fact be `empty'
% (i.e. false).
(
% If there were no constraints for the procedure then
% we are at the beginning of the analysis.
ArgSizeInfo = no,
OldPolyhedron = polyhedron.empty
;
ArgSizeInfo = yes(SizeInfo),
OldPolyhedron = SizeInfo
),
( if polyhedron.is_empty(!.Polyhedron) then
( if polyhedron.is_empty(OldPolyhedron) then
ChangeFlag = no
else
unexpected($pred, "old polyhedron is empty")
)
else
% If the procedure is not recursive then we need only perform one
% pass over the AR - subsequent iterations will yield the same
% result.
( if Proc ^ ap_recursion = none then
ChangeFlag = no
else if polyhedron.is_empty(OldPolyhedron) then
ChangeFlag = yes
else
test_fixpoint_and_perhaps_widen(WideningInfo, SizeVarSet,
Iteration, OldPolyhedron, !Polyhedron, ChangeFlag)
)
),
ThisIterationInfo = iteration_info(PPId, !.Polyhedron, ChangeFlag)
),
!:IterationInfo = [ThisIterationInfo | !.IterationInfo].
%-----------------------------------------------------------------------------%
:- type fixpoint_info
---> fixpoint_info(
tcfi_module_info :: module_info,
tcfi_varset :: size_varset,
tcfi_ppid :: pred_proc_id,
tcfi_max_matrix_size :: int,
tcfi_curr_head_vars :: head_vars,
tcfi_zeros :: zero_vars
).
:- func init_fixpoint_info(module_info, size_varset, pred_proc_id, int,
head_vars, zero_vars) = fixpoint_info.
init_fixpoint_info(ModuleInfo, SizeVarSet, PPId, MaxMatrixSize, HeadVars,
Zeros) =
fixpoint_info(ModuleInfo, SizeVarSet, PPId, MaxMatrixSize, HeadVars,
Zeros).
%-----------------------------------------------------------------------------%
:- pred term_traverse_abstract_goal(fixpoint_info::in, abstract_goal::in,
polyhedron::in, polyhedron::out) is det.
term_traverse_abstract_goal(Info, Goal, !Polyhedron) :-
(
Goal = term_disj(Goals, _Size, Locals, _),
% There are number of possible improvements that should be made here:
%
% - Take the intersection each disjunct with the constraints
% before the disjunction and compute the convex hull of that.
% This is more accurate but slower. (XXX There is some code for this
% in term_constr_data.m but it needs to be moved here). To do this
% you need to add the constraints that occur to left of the
% disjunctions to `PriorConstraints'.
%
% - Try computing the convex hull of large disjunctions pairwise
% rather than linearly. There is code to do this below but we
% currently don't use it.
PriorConstraints = polyhedron.universe,
term_traverse_abstract_disj_linearly(Goals, Locals, Info,
PriorConstraints, Polyhedron0),
post_process_abstract_goal(Locals, Info, Polyhedron0, !Polyhedron)
;
Goal = term_conj(Goals, Locals, _),
list.foldl(
term_traverse_abstract_goal(Info), Goals, polyhedron.universe,
Polyhedron0),
post_process_abstract_goal(Locals, Info, Polyhedron0, !Polyhedron)
;
Goal = term_call(CallPPId0, _, CallVars, CallZeros, Locals, _,
CallArgsPoly),
CallPPId0 = real(CallPPId),
module_info_pred_proc_info(Info ^ tcfi_module_info, CallPPId, _,
CallProcInfo),
proc_info_get_termination2_info(CallProcInfo, CallTerm2Info),
CallArgSizeInfo = term2_info_get_success_constrs(CallTerm2Info),
(
CallArgSizeInfo = no,
!:Polyhedron = polyhedron.empty
;
CallArgSizeInfo = yes(SizeInfo),
( if polyhedron.is_empty(SizeInfo) then
!:Polyhedron = polyhedron.empty
else if polyhedron.is_universe(SizeInfo) then
% Constraint store += true
true
else
HeadVars = term2_info_get_head_vars(CallTerm2Info),
SubstMap = create_var_substitution(CallVars, HeadVars),
Polyhedron0 = polyhedron.substitute_vars(SubstMap,
SizeInfo),
Polyhedron1 = intersection(Polyhedron0, CallArgsPoly),
% Set any zero_vars in the constraints to zero
% (i.e. delete the terms). We need to do this
% when polymorphic arguments are zero sized.
Polyhedron2 = polyhedron.zero_vars(CallZeros, Polyhedron1),
post_process_abstract_goal(Locals, Info,
Polyhedron2, !Polyhedron)
)
)
;
Goal = term_primitive(Poly, Locals, _),
post_process_abstract_goal(Locals, Info, Poly, !Polyhedron)
).
%-----------------------------------------------------------------------------%
:- pred post_process_abstract_goal(size_vars::in, fixpoint_info::in,
polyhedron::in, polyhedron::in, polyhedron::out) is det.
post_process_abstract_goal(Locals, Info, GoalPolyhedron0, !Polyhedron) :-
( if polyhedron.is_empty(GoalPolyhedron0) then
GoalPolyhedron = polyhedron.empty
else
project_polyhedron(Info ^ tcfi_varset, Locals,
GoalPolyhedron0, GoalPolyhedron)
),
polyhedron.intersection(GoalPolyhedron, !Polyhedron).
%-----------------------------------------------------------------------------%
%
% Predicates for handling disjunctions.
%
% This version computes the convex hull linearly.
% That is, ( A ; B ; C ; D) is processed as:
%
% ((((empty \/ A ) \/ B ) \/ C ) \/ D)
%
:- pred term_traverse_abstract_disj_linearly(abstract_goals::in,
size_vars::in, fixpoint_info::in, polyhedron::in, polyhedron::out) is det.
term_traverse_abstract_disj_linearly(Goals, Locals, Info, !Polyhedron) :-
list.foldl(term_traverse_abstract_disj_linearly_2(Info, Locals),
Goals, polyhedron.empty, ConvexUnion),
polyhedron.intersection(ConvexUnion, !Polyhedron).
:- pred term_traverse_abstract_disj_linearly_2(fixpoint_info::in,
size_vars::in, abstract_goal::in, polyhedron::in, polyhedron::out) is det.
term_traverse_abstract_disj_linearly_2(Info, Locals, Goal, !Polyhedron) :-
SizeVarSet = Info ^ tcfi_varset,
term_traverse_abstract_goal(Info, Goal, polyhedron.universe, Polyhedron0),
project_polyhedron(SizeVarSet, Locals, Polyhedron0, Polyhedron1),
polyhedron.convex_union(SizeVarSet, yes(Info ^ tcfi_max_matrix_size),
Polyhedron1, !Polyhedron).
% This version computes the convex hull pairwise. That is
% ( A ; B ; C ; D) is processed as: (( A \/ B ) \/ ( C \/ D)).
%
% XXX This code is currently unused.
%
:- pred term_traverse_abstract_disj_pairwise(abstract_goals::in, size_vars::in,
fixpoint_info::in, polyhedron::in, polyhedron::out) is det.
:- pragma consider_used(pred(term_traverse_abstract_disj_pairwise/5)).
term_traverse_abstract_disj_pairwise(Goals, Locals, Info, !Polyhedron) :-
SizeVarSet = Info ^ tcfi_varset,
% XXX at the moment, could be !.Poly...
PolyToLeft = polyhedron.universe,
% First convert the list of goals into their corresponding polyhedra.
ToPoly =
( func(Goal) = Poly :-
term_traverse_abstract_goal(Info, Goal, PolyToLeft, Poly0),
polyhedron.project_polyhedron(SizeVarSet, Locals, Poly0, Poly)
),
Polyhedra0 = list.map(ToPoly, Goals),
% Now pairwise convex hull them.
HullOp =
( func(A, B) = C :-
polyhedron.convex_union(SizeVarSet,
yes(Info ^ tcfi_max_matrix_size), A, B, C)
),
ConvexUnion = pairwise_map(HullOp, [ polyhedron.empty | Polyhedra0]),
polyhedron.intersection(ConvexUnion, !Polyhedron).
% This assumes that the operation in question is associative and
% commutative.
%
:- func pairwise_map(func(T, T) = T, list(T)) = T.
pairwise_map(_, []) = _ :-
unexpected($pred, "empty list").
pairwise_map(_, [X]) = X.
pairwise_map(Op, List @ [_, _ | _]) = X :-
pairwise_map_2(Op, List, [], X0),
X = pairwise_map(Op, X0).
:- pred pairwise_map_2(func(T, T) = T, list(T), list(T), list(T)).
:- mode pairwise_map_2(func(in, in) = out is det, in, in, out) is det.
pairwise_map_2(_, [], !Acc).
pairwise_map_2(_, [X], Acc, [X | Acc]).
pairwise_map_2(Op, [X, Y | Rest], !Acc) :-
!:Acc = [Op(X, Y) | !.Acc],
pairwise_map_2(Op, Rest, !Acc).
%-----------------------------------------------------------------------------%
%
% Fixpoint test.
%
:- pred test_fixpoint_and_perhaps_widen(widening::in, size_varset::in, int::in,
polyhedron::in, polyhedron::in, polyhedron::out, bool::out) is det.
test_fixpoint_and_perhaps_widen(after_fixed_cutoff(Threshold), SizeVarSet,
Iteration, OldPoly, NewPoly, ResultPoly, ChangeFlag) :-
( if Iteration > Threshold then
ResultPoly = widen(OldPoly, NewPoly, SizeVarSet)
else
ResultPoly = NewPoly
),
ChangeFlag = test_fixpoint(NewPoly, OldPoly, SizeVarSet).
:- func test_fixpoint(polyhedron, polyhedron, size_varset) = bool.
test_fixpoint(NewPoly, OldPoly, SizeVarSet) = ChangeFlag :-
% Constraints from this iteration.
NewConstraints = polyhedron.non_false_constraints(NewPoly),
% Constraints from previous iteration.
OldConstraints = polyhedron.non_false_constraints(OldPoly),
( if
some [OldConstraint] (
list.member(OldConstraint, OldConstraints),
not entailed(SizeVarSet, NewConstraints, OldConstraint)
)
then
ChangeFlag = yes
else
ChangeFlag = no
).
%-----------------------------------------------------------------------------%
:- type fixpoint_options
---> fixpoint_options(
fo_widening :: widening,
fo_max_size :: int
).
fixpoint_options_init(Widening, MaxMatrixSize) =
fixpoint_options(Widening, MaxMatrixSize).
%-----------------------------------------------------------------------------%
:- end_module transform_hlds.term_constr_fixpoint.
%-----------------------------------------------------------------------------%