oracular (1) PDL::Dataflow.1p.gz

Provided by: pdl_2.089-1build1_amd64 bug

NAME

       PDL::Dataflow -- description of the dataflow implementation and philosophy

SYNOPSIS

               pdl> $x = zeroes(10);
               pdl> $y = $x->slice("2:4:2");
               pdl> $y ++;
               pdl> print $x;
               [0 0 1 0 1 0 0 0 0 0]

DESCRIPTION

       As of 2.079, this is now a description of the current implementation, together with some design thoughts
       from its original author, Tuomas Lukka.

       Two-directional dataflow (which implements "->slice()" etc.)  is fully functional, as shown in the
       SYNOPSIS. One-way is implemented, but with restrictions.

TWO-WAY

       Just about any function which returns some subset of the values in some ndarray will make a binding.  $y
       has become effectively a window to some sub-elements of $x. You can also define your own routines that do
       different types of subsets. If you don't want $y to be a window to $x, you must do

               $y = $x->slice("some parts")->sever;

       The "sever" destroys the "slice" transform, thereby turning off all dataflow between the two ndarrays.

   Type conversions
       This works, thanks to a two-way flowing transform that implements type-conversions, particularly for
       supplied outputs of the "wrong" type for the given transform:

         pdl> $a_bad = pdl double, '[1 BAD 3]';
         pdl> $b_float = zeroes float, 3;
         pdl> $a_bad->assgn($b_float); # could be written as $b_float .= $a_bad
         pdl> p $b_float->badflag;
         1
         pdl> p $b_float;
         [1 BAD 3]

ONE-WAY

       You need to explicitly turn on one-way dataflow on an ndarray to activate it for non-flowing operations,
       so

               pdl> $x = pdl 2,3,4;
               pdl> $x->doflow;
               pdl> $y = $x * 2;
               pdl> print $y;
               [4 6 8]
               pdl> $x->set(0,5);
               pdl> print $y;
               [10 6 8]

       It is not possible to turn on backwards dataflow (such as is used by "slice"-type operations), because
       there is no general way for PDL (or maths, in fact) to know how to reverse most operations - consider "$z
       = $x * $y", then adding one to $z.

       Consider the following code:

               $u = sequence(3,3); $u->doflow;
               $v = ones(3,3); $v->doflow;
               $w = $u + $v; $w->doflow; # must turn on for each
               $y = $w + 1; $y->doflow;
               $x = $w->diagonal(0,1);
               $x += 50;
               $z = $w + 2;

       What do $y and $z contain now?

               pdl> p $y
               [
                [52  3  4]
                [ 5 56  7]
                [ 8  9 60]
               ]
               pdl> p $z
               [
                [53  4  5]
                [ 6 57  8]
                [ 9 10 61]
               ]

       What about when $u is changed and a recalculation is triggered? A problem arises, in that PDL currently
       (as of 2.079) disallows (see pdlapi.c), for normal transforms, output ndarrays with flow, or output
       ndarrays with any parent with dataflow. So "$u++" throws an exception. But it is currently possible to
       use "set", which is a sort of micro-transform that calls (in the C API) "PDL.set" to mutate the data,
       then "PDL.changed" to trigger flow updates:

               pdl> $u->set(1,1,90)
               pdl> p $y
               [
                [ 2  3  4]
                [ 5 92  7]
                [ 8  9 10]
               ]

       You'll notice that while the setting of "1,1" (the middle) of $u updated $y, the changes to $y that
       resulted from adding 50 to the diagonal (via $x, and two-way flow) got lost. This is one-way flow.

LAZY EVALUATION

       In one-way flow context like the above, with:

               pdl> $y = $x * 2;

       nothing will have been calculated at this point. Even the memory for the contents of $y has not been
       allocated. Only the command

               pdl> print $y

       will actually cause $y to be calculated. This is important to bear in mind when doing performance
       measurements and benchmarks as well as when tracking errors.

       There is an explanation for this behaviour: it may save cycles but more importantly, imagine the
       following:

               pdl> $x = pdl 2,3,4; $x->doflow;
               pdl> $y = pdl 5,6,7; $y->doflow;
               pdl> $c = $x + $y;
               pdl> $x->setdims([4]);
               pdl> $y->setdims([4]);
               pdl> print $c;

       Now, if $c were evaluated between the two resizes, an error condition of incompatible sizes would occur.

       What happens in the current version is that resizing $x raises a flag in $c: "PDL_PARENTDIMSCHANGED" and
       $y just raises the same flag again. When $c is next evaluated, the flags are checked and it is found that
       a recalculation is needed.

       Of course, lazy evaluation can sometimes make debugging more painful because errors may occur somewhere
       where you'd not expect them.

FAMILIES

       This is one of the more intricate concepts of dataflow.  In order to make dataflow work like you'd
       expect, a rather strange concept must be introduced: families. Let us make a diagram of the one-way flow
       example - it uses a hypergraph because the transforms (with "+") are connectors between ndarrays (with
       "*"):

              u*   *v
                \ /
                 +(plus)
                 |
          1*     *w
            \   /|\
             \ / | \
        (plus)+  |  +(diagonal)
              |  |  |
             y*  |  *x
                 |
                 | *1
                 |/
                 +(plus)
                 |
                z*

       This is what PDL actually has in memory after the first three lines.  When $x is changed, $w changes due
       to "diagonal" being a two-way operation.

       If you want flow from $w, you opt in using "$w->doflow" (as shown in this scenario). If you didn't, then
       don't enable it. If you have it but want to stop it, call "$ndarray->sever". That will destroy the
       ndarray's "trans_parent" (here, a node marked with "+"), and as you can visually tell, will stop changes
       flowing thereafter. If you want to leave the flow operating, but get a copy of the ndarray at that point,
       use "$ndarray->copy" - it will have the same data at that moment, but have no flow relationships.

EVENTS

       There is the start of a mechanism to bind events onto changed data, intended to allow this to work:

               pdl> $x = pdl 2,3,4
               pdl> $y = $x + 1;
               pdl> $c = $y * 2;
               pdl> $c->bind( sub { print "A now: $x, C now: $c\n" } )
               pdl> PDL::dowhenidle();
               A now: [2,3,4], C now: [6 8 10]
               pdl> $x->set(0,1);
               pdl> $x->set(1,1);
               pdl> PDL::dowhenidle();
               A now: [1,1,4], C now: [4 4 10]

       This hooks into PDL's "magic" which resembles Perl's, but does not currently operate.

       There would be many kinds of uses for this feature: self-updating charts, for instance. It is not yet
       fully clear whether it would be most useful to queue up changes (useful for doing asynchronously, e.g.
       when idle), or to activate things immediately.

       In the 2022 era of both GPUs and multiple cores, it is a pity that Perl's dominant model remains single-
       threaded on CPU, but PDL can use multi-cores for CPU processing (albeit controlled in a single-threaded
       style) - see PDL::ParallelCPU. It is planned that PDL will gain the ability to use GPUs, and there might
       be a way to hook that up albeit probably with an event loop to "subscribe" to GPU events.

TRANSFORMATIONS

       PDL implements nearly everything (except for XS oddities like "set") using transforms which connect
       ndarrays. This includes data transformations like addition, "slicing" to access/operate on subsets, and
       data-type conversions (which have two-way dataflow, see "Type conversions").

       This does not currently include a resizing transformation, and "setdims" mutates its input. This is
       intended to change.

AUTHOR

       Copyright(C) 1997 Tuomas J. Lukka (lukka@fas.harvard.edu).  Same terms as the rest of PDL.