mirror of
https://github.com/tildearrow/furnace.git
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216 lines
6 KiB
C
216 lines
6 KiB
C
/*
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* Copyright (c) 2003, 2007-14 Matteo Frigo
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* Copyright (c) 2003, 2007-14 Massachusetts Institute of Technology
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*
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*/
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/* Plans for handling vector transform loops. These are *just* the
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loops, and rely on child plans for the actual RDFT2s.
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They form a wrapper around solvers that don't have apply functions
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for non-null vectors.
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vrank-geq1-rdft2 plans also recursively handle the case of
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multi-dimensional vectors, obviating the need for most solvers to
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deal with this. We can also play games here, such as reordering
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the vector loops.
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Each vrank-geq1-rdft2 plan reduces the vector rank by 1, picking out a
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dimension determined by the vecloop_dim field of the solver. */
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#include "rdft/rdft.h"
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typedef struct {
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solver super;
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int vecloop_dim;
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const int *buddies;
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size_t nbuddies;
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} S;
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typedef struct {
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plan_rdft2 super;
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plan *cld;
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INT vl;
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INT rvs, cvs;
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const S *solver;
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} P;
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static void apply(const plan *ego_, R *r0, R *r1, R *cr, R *ci)
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{
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const P *ego = (const P *) ego_;
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INT i, vl = ego->vl;
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INT rvs = ego->rvs, cvs = ego->cvs;
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rdft2apply cldapply = ((plan_rdft2 *) ego->cld)->apply;
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for (i = 0; i < vl; ++i) {
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cldapply(ego->cld, r0 + i * rvs, r1 + i * rvs,
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cr + i * cvs, ci + i * cvs);
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}
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}
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static void awake(plan *ego_, enum wakefulness wakefulness)
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{
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P *ego = (P *) ego_;
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X(plan_awake)(ego->cld, wakefulness);
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}
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static void destroy(plan *ego_)
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{
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P *ego = (P *) ego_;
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X(plan_destroy_internal)(ego->cld);
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}
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static void print(const plan *ego_, printer *p)
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{
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const P *ego = (const P *) ego_;
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const S *s = ego->solver;
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p->print(p, "(rdft2-vrank>=1-x%D/%d%(%p%))",
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ego->vl, s->vecloop_dim, ego->cld);
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}
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static int pickdim(const S *ego, const tensor *vecsz, int oop, int *dp)
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{
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return X(pickdim)(ego->vecloop_dim, ego->buddies, ego->nbuddies,
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vecsz, oop, dp);
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}
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static int applicable0(const solver *ego_, const problem *p_, int *dp)
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{
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const S *ego = (const S *) ego_;
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const problem_rdft2 *p = (const problem_rdft2 *) p_;
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if (FINITE_RNK(p->vecsz->rnk)
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&& p->vecsz->rnk > 0
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&& pickdim(ego, p->vecsz, p->r0 != p->cr, dp)) {
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if (p->r0 != p->cr)
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return 1; /* can always operate out-of-place */
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return(X(rdft2_inplace_strides)(p, *dp));
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}
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return 0;
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}
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static int applicable(const solver *ego_, const problem *p_,
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const planner *plnr, int *dp)
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{
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const S *ego = (const S *)ego_;
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if (!applicable0(ego_, p_, dp)) return 0;
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/* fftw2 behavior */
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if (NO_VRANK_SPLITSP(plnr) && (ego->vecloop_dim != ego->buddies[0]))
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return 0;
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if (NO_UGLYP(plnr)) {
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const problem_rdft2 *p = (const problem_rdft2 *) p_;
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iodim *d = p->vecsz->dims + *dp;
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/* Heuristic: if the transform is multi-dimensional, and the
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vector stride is less than the transform size, then we
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probably want to use a rank>=2 plan first in order to combine
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this vector with the transform-dimension vectors. */
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if (p->sz->rnk > 1
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&& X(imin)(X(iabs)(d->is), X(iabs)(d->os))
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< X(rdft2_tensor_max_index)(p->sz, p->kind)
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)
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return 0;
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/* Heuristic: don't use a vrank-geq1 for rank-0 vrank-1
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transforms, since this case is better handled by rank-0
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solvers. */
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if (p->sz->rnk == 0 && p->vecsz->rnk == 1) return 0;
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if (NO_NONTHREADEDP(plnr))
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return 0; /* prefer threaded version */
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}
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return 1;
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}
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static plan *mkplan(const solver *ego_, const problem *p_, planner *plnr)
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{
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const S *ego = (const S *) ego_;
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const problem_rdft2 *p;
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P *pln;
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plan *cld;
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int vdim;
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iodim *d;
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INT rvs, cvs;
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static const plan_adt padt = {
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X(rdft2_solve), awake, print, destroy
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};
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if (!applicable(ego_, p_, plnr, &vdim))
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return (plan *) 0;
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p = (const problem_rdft2 *) p_;
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d = p->vecsz->dims + vdim;
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A(d->n > 1); /* or else, p->ri + d->is etc. are invalid */
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X(rdft2_strides)(p->kind, d, &rvs, &cvs);
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cld = X(mkplan_d)(plnr,
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X(mkproblem_rdft2_d)(
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X(tensor_copy)(p->sz),
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X(tensor_copy_except)(p->vecsz, vdim),
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TAINT(p->r0, rvs), TAINT(p->r1, rvs),
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TAINT(p->cr, cvs), TAINT(p->ci, cvs),
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p->kind));
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if (!cld) return (plan *) 0;
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pln = MKPLAN_RDFT2(P, &padt, apply);
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pln->cld = cld;
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pln->vl = d->n;
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pln->rvs = rvs;
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pln->cvs = cvs;
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pln->solver = ego;
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X(ops_zero)(&pln->super.super.ops);
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pln->super.super.ops.other = 3.14159; /* magic to prefer codelet loops */
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X(ops_madd2)(pln->vl, &cld->ops, &pln->super.super.ops);
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if (p->sz->rnk != 1 || (p->sz->dims[0].n > 128))
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pln->super.super.pcost = pln->vl * cld->pcost;
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return &(pln->super.super);
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}
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static solver *mksolver(int vecloop_dim, const int *buddies, size_t nbuddies)
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{
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static const solver_adt sadt = { PROBLEM_RDFT2, mkplan, 0 };
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S *slv = MKSOLVER(S, &sadt);
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slv->vecloop_dim = vecloop_dim;
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slv->buddies = buddies;
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slv->nbuddies = nbuddies;
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return &(slv->super);
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}
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void X(rdft2_vrank_geq1_register)(planner *p)
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{
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/* FIXME: Should we try other vecloop_dim values? */
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static const int buddies[] = { 1, -1 };
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size_t i;
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for (i = 0; i < NELEM(buddies); ++i)
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REGISTER_SOLVER(p, mksolver(buddies[i], buddies, NELEM(buddies)));
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}
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