annotate src/fftw-3.3.8/kernel/tensor3.c @ 168:ceec0dd9ec9c

Replace these with versions built using an older toolset (so as to avoid ABI compatibilities when linking on Ubuntu 14.04 for packaging purposes)
author Chris Cannam <cannam@all-day-breakfast.com>
date Fri, 07 Feb 2020 11:51:13 +0000
parents bd3cc4d1df30
children
rev   line source
cannam@167 1 /*
cannam@167 2 * Copyright (c) 2003, 2007-14 Matteo Frigo
cannam@167 3 * Copyright (c) 2003, 2007-14 Massachusetts Institute of Technology
cannam@167 4 *
cannam@167 5 * This program is free software; you can redistribute it and/or modify
cannam@167 6 * it under the terms of the GNU General Public License as published by
cannam@167 7 * the Free Software Foundation; either version 2 of the License, or
cannam@167 8 * (at your option) any later version.
cannam@167 9 *
cannam@167 10 * This program is distributed in the hope that it will be useful,
cannam@167 11 * but WITHOUT ANY WARRANTY; without even the implied warranty of
cannam@167 12 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
cannam@167 13 * GNU General Public License for more details.
cannam@167 14 *
cannam@167 15 * You should have received a copy of the GNU General Public License
cannam@167 16 * along with this program; if not, write to the Free Software
cannam@167 17 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
cannam@167 18 *
cannam@167 19 */
cannam@167 20
cannam@167 21
cannam@167 22 #include "kernel/ifftw.h"
cannam@167 23
cannam@167 24 /* Currently, mktensor_4d and mktensor_5d are only used in the MPI
cannam@167 25 routines, where very complicated transpositions are required.
cannam@167 26 Therefore we split them into a separate source file. */
cannam@167 27
cannam@167 28 tensor *X(mktensor_4d)(INT n0, INT is0, INT os0,
cannam@167 29 INT n1, INT is1, INT os1,
cannam@167 30 INT n2, INT is2, INT os2,
cannam@167 31 INT n3, INT is3, INT os3)
cannam@167 32 {
cannam@167 33 tensor *x = X(mktensor)(4);
cannam@167 34 x->dims[0].n = n0;
cannam@167 35 x->dims[0].is = is0;
cannam@167 36 x->dims[0].os = os0;
cannam@167 37 x->dims[1].n = n1;
cannam@167 38 x->dims[1].is = is1;
cannam@167 39 x->dims[1].os = os1;
cannam@167 40 x->dims[2].n = n2;
cannam@167 41 x->dims[2].is = is2;
cannam@167 42 x->dims[2].os = os2;
cannam@167 43 x->dims[3].n = n3;
cannam@167 44 x->dims[3].is = is3;
cannam@167 45 x->dims[3].os = os3;
cannam@167 46 return x;
cannam@167 47 }
cannam@167 48
cannam@167 49 tensor *X(mktensor_5d)(INT n0, INT is0, INT os0,
cannam@167 50 INT n1, INT is1, INT os1,
cannam@167 51 INT n2, INT is2, INT os2,
cannam@167 52 INT n3, INT is3, INT os3,
cannam@167 53 INT n4, INT is4, INT os4)
cannam@167 54 {
cannam@167 55 tensor *x = X(mktensor)(5);
cannam@167 56 x->dims[0].n = n0;
cannam@167 57 x->dims[0].is = is0;
cannam@167 58 x->dims[0].os = os0;
cannam@167 59 x->dims[1].n = n1;
cannam@167 60 x->dims[1].is = is1;
cannam@167 61 x->dims[1].os = os1;
cannam@167 62 x->dims[2].n = n2;
cannam@167 63 x->dims[2].is = is2;
cannam@167 64 x->dims[2].os = os2;
cannam@167 65 x->dims[3].n = n3;
cannam@167 66 x->dims[3].is = is3;
cannam@167 67 x->dims[3].os = os3;
cannam@167 68 x->dims[4].n = n4;
cannam@167 69 x->dims[4].is = is4;
cannam@167 70 x->dims[4].os = os4;
cannam@167 71 return x;
cannam@167 72 }