mirror of
https://github.com/tildearrow/furnace.git
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216 lines
6.3 KiB
C
216 lines
6.3 KiB
C
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/*
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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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#include "kernel/ifftw.h"
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static int signof(INT x)
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{
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if (x < 0) return -1;
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if (x == 0) return 0;
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/* if (x > 0) */ return 1;
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}
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/* total order among iodim's */
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int X(dimcmp)(const iodim *a, const iodim *b)
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{
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INT sai = X(iabs)(a->is), sbi = X(iabs)(b->is);
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INT sao = X(iabs)(a->os), sbo = X(iabs)(b->os);
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INT sam = X(imin)(sai, sao), sbm = X(imin)(sbi, sbo);
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/* in descending order of min{istride, ostride} */
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if (sam != sbm)
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return signof(sbm - sam);
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/* in case of a tie, in descending order of istride */
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if (sbi != sai)
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return signof(sbi - sai);
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/* in case of a tie, in descending order of ostride */
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if (sbo != sao)
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return signof(sbo - sao);
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/* in case of a tie, in ascending order of n */
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return signof(a->n - b->n);
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}
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static void canonicalize(tensor *x)
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{
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if (x->rnk > 1) {
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qsort(x->dims, (unsigned)x->rnk, sizeof(iodim),
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(int (*)(const void *, const void *))X(dimcmp));
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}
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}
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static int compare_by_istride(const iodim *a, const iodim *b)
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{
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INT sai = X(iabs)(a->is), sbi = X(iabs)(b->is);
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/* in descending order of istride */
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return signof(sbi - sai);
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}
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static tensor *really_compress(const tensor *sz)
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{
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int i, rnk;
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tensor *x;
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A(FINITE_RNK(sz->rnk));
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for (i = rnk = 0; i < sz->rnk; ++i) {
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A(sz->dims[i].n > 0);
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if (sz->dims[i].n != 1)
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++rnk;
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}
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x = X(mktensor)(rnk);
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for (i = rnk = 0; i < sz->rnk; ++i) {
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if (sz->dims[i].n != 1)
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x->dims[rnk++] = sz->dims[i];
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}
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return x;
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}
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/* Like tensor_copy, but eliminate n == 1 dimensions, which
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never affect any transform or transform vector.
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Also, we sort the tensor into a canonical order of decreasing
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strides (see X(dimcmp) for an exact definition). In general,
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processing a loop/array in order of decreasing stride will improve
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locality. Both forward and backwards traversal of the tensor are
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considered e.g. by vrank-geq1, so sorting in increasing
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vs. decreasing order is not really important. */
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tensor *X(tensor_compress)(const tensor *sz)
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{
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tensor *x = really_compress(sz);
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canonicalize(x);
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return x;
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}
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/* Return whether the strides of a and b are such that they form an
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effective contiguous 1d array. Assumes that a.is >= b.is. */
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static int strides_contig(iodim *a, iodim *b)
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{
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return (a->is == b->is * b->n && a->os == b->os * b->n);
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}
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/* Like tensor_compress, but also compress into one dimension any
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group of dimensions that form a contiguous block of indices with
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some stride. (This can safely be done for transform vector sizes.) */
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tensor *X(tensor_compress_contiguous)(const tensor *sz)
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{
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int i, rnk;
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tensor *sz2, *x;
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if (X(tensor_sz)(sz) == 0)
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return X(mktensor)(RNK_MINFTY);
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sz2 = really_compress(sz);
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A(FINITE_RNK(sz2->rnk));
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if (sz2->rnk <= 1) { /* nothing to compress. */
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if (0) {
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/* this call is redundant, because "sz->rnk <= 1" implies
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that the tensor is already canonical, but I am writing
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it explicitly because "logically" we need to canonicalize
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the tensor before returning. */
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canonicalize(sz2);
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}
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return sz2;
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}
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/* sort in descending order of |istride|, so that compressible
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dimensions appear contigously */
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qsort(sz2->dims, (unsigned)sz2->rnk, sizeof(iodim),
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(int (*)(const void *, const void *))compare_by_istride);
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/* compute what the rank will be after compression */
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for (i = rnk = 1; i < sz2->rnk; ++i)
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if (!strides_contig(sz2->dims + i - 1, sz2->dims + i))
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++rnk;
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/* merge adjacent dimensions whenever possible */
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x = X(mktensor)(rnk);
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x->dims[0] = sz2->dims[0];
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for (i = rnk = 1; i < sz2->rnk; ++i) {
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if (strides_contig(sz2->dims + i - 1, sz2->dims + i)) {
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x->dims[rnk - 1].n *= sz2->dims[i].n;
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x->dims[rnk - 1].is = sz2->dims[i].is;
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x->dims[rnk - 1].os = sz2->dims[i].os;
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} else {
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A(rnk < x->rnk);
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x->dims[rnk++] = sz2->dims[i];
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}
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}
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X(tensor_destroy)(sz2);
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/* reduce to canonical form */
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canonicalize(x);
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return x;
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}
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/* The inverse of X(tensor_append): splits the sz tensor into
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tensor a followed by tensor b, where a's rank is arnk. */
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void X(tensor_split)(const tensor *sz, tensor **a, int arnk, tensor **b)
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{
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A(FINITE_RNK(sz->rnk) && FINITE_RNK(arnk));
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*a = X(tensor_copy_sub)(sz, 0, arnk);
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*b = X(tensor_copy_sub)(sz, arnk, sz->rnk - arnk);
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}
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/* TRUE if the two tensors are equal */
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int X(tensor_equal)(const tensor *a, const tensor *b)
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{
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if (a->rnk != b->rnk)
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return 0;
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if (FINITE_RNK(a->rnk)) {
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int i;
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for (i = 0; i < a->rnk; ++i)
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if (0
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|| a->dims[i].n != b->dims[i].n
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|| a->dims[i].is != b->dims[i].is
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|| a->dims[i].os != b->dims[i].os
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)
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return 0;
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}
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return 1;
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}
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/* TRUE if the sets of input and output locations described by
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(append sz vecsz) are the same */
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int X(tensor_inplace_locations)(const tensor *sz, const tensor *vecsz)
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{
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tensor *t = X(tensor_append)(sz, vecsz);
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tensor *ti = X(tensor_copy_inplace)(t, INPLACE_IS);
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tensor *to = X(tensor_copy_inplace)(t, INPLACE_OS);
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tensor *tic = X(tensor_compress_contiguous)(ti);
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tensor *toc = X(tensor_compress_contiguous)(to);
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int retval = X(tensor_equal)(tic, toc);
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X(tensor_destroy)(t);
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X(tensor_destroy4)(ti, to, tic, toc);
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return retval;
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}
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