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Groups > comp.lang.prolog > #14469
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | comp.lang.prolog |
| Subject | Higher Order Logic Programming and Autograd |
| Date | 2025-03-11 13:02 +0100 |
| Message-ID | <vqp8p5$1bfa2$1@solani.org> (permalink) |
Somehow I shied away from implementing call/n for
my new Prolog system. I thought my new Prolog system
has only monomorphic caches , I will never be able to
replicate what I did for my old Prolog system with
arity polymorphic caches. This changed when I had
the idea to dynamically add a cache for the duration
of a higher order loop such as maplist/n, foldl/n etc…
So this is the new implementation of maplist/3:
% maplist(+Closure, +List, -List)
maplist(C, L, R) :-
sys_callable_cacheable(C, D),
sys_maplist(L, D, R).
% sys_maplist(+List, +Closure, -List)
sys_maplist([], _, []).
sys_maplist([X|L], C, [Y|R]) :-
call(C, X, Y),
sys_maplist(L, C, R).
Its similar as the SWI-Prolog implementation in that
it reorders the arguments for better first argument
indexing. But the new thing is sys_callable_cacheable/1,
which prepares the closure to be more efficiently
called. The invocation of the closure is already
quite fast since call/3 is implemented natively,
but the cache adds an itch more speed. Here some
measurements that I did:
/* SWI-Prolog 9.3.20 */
?- findall(X,between(1,1000,X),L), time((between(1,1000,_),
maplist(succ,L,_),fail; true)), fail.
% 2,003,000 inferences, 0.078 CPU in 0.094 seconds
/* Scryer Prolog 0.9.4-350 */
?- findall(X,between(1,1000,X),L), time((between(1,1000,_),
maplist(succ,L,_),fail; true)), fail.
% CPU time: 0.318s, 3_007_105 inferences
/* Dogelog Player 1.3.1 */
?- findall(X,between(1,1000,X),L), time((between(1,1000,_),
maplist(succ,L,_),fail; true)), fail.
% Zeit 342 ms, GC 0 ms, Lips 11713646, Uhr 10.03.2025 09:18
/* realla Prolog 2.64.6-2 */
?- findall(X,between(1,1000,X),L), time((between(1,1000,_),
maplist(succ,L,_),fail; true)), fail.
% Time elapsed 1.694s, 15004003 Inferences, 8.855 MLips
Not surprisingly SWI-Prolog is fastest. What was
a little surprise is that Scryer Prolog can do it quite
fast, possibly since they heavily use maplist/n all
over the place, they came up with things like '$fast_call'
etc.. in their call/n implementation. Trealla Prolog is
a little bit disappointing at the moment.
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Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:02 +0100
Re: Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:07 +0100
Re: Higher Order Logic Programming and Autograd Mild Shock <janburse@fastmail.fm> - 2025-03-11 13:14 +0100
neural networks cover rule based in zero order logic (Was: Higher Order Logic Programming and Autograd) Mild Shock <janburse@fastmail.fm> - 2025-03-15 16:13 +0100
Will we ever have Real Quantum Neurons? (Re: neural networks cover rule based in zero order logic) Mild Shock <janburse@fastmail.fm> - 2025-03-15 17:04 +0100
Progress via library(linear) (Was: Higher Order Logic Programming and Autograd) Mild Shock <janburse@fastmail.fm> - 2025-03-16 22:59 +0100
Credits go to Rolf Pfeiffer (Was: Progress via library(linear) (Was: Higher Order Logic Programming and Autograd)) Mild Shock <janburse@fastmail.fm> - 2025-03-16 23:07 +0100
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