cannam@127: /*
cannam@127:  * Copyright (c) 2003, 2007-14 Matteo Frigo
cannam@127:  * Copyright (c) 2003, 2007-14 Massachusetts Institute of Technology
cannam@127:  *
cannam@127:  * This program is free software; you can redistribute it and/or modify
cannam@127:  * it under the terms of the GNU General Public License as published by
cannam@127:  * the Free Software Foundation; either version 2 of the License, or
cannam@127:  * (at your option) any later version.
cannam@127:  *
cannam@127:  * This program is distributed in the hope that it will be useful,
cannam@127:  * but WITHOUT ANY WARRANTY; without even the implied warranty of
cannam@127:  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
cannam@127:  * GNU General Public License for more details.
cannam@127:  *
cannam@127:  * You should have received a copy of the GNU General Public License
cannam@127:  * along with this program; if not, write to the Free Software
cannam@127:  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
cannam@127:  *
cannam@127:  */
cannam@127: 
cannam@127: 
cannam@127: #include "ifftw.h"
cannam@127: 
cannam@127: /* Currently, mktensor_4d and mktensor_5d are only used in the MPI
cannam@127:    routines, where very complicated transpositions are required.
cannam@127:    Therefore we split them into a separate source file. */
cannam@127: 
cannam@127: tensor *X(mktensor_4d)(INT n0, INT is0, INT os0,
cannam@127: 		       INT n1, INT is1, INT os1,
cannam@127: 		       INT n2, INT is2, INT os2,
cannam@127: 		       INT n3, INT is3, INT os3)
cannam@127: {
cannam@127:      tensor *x = X(mktensor)(4);
cannam@127:      x->dims[0].n = n0;
cannam@127:      x->dims[0].is = is0;
cannam@127:      x->dims[0].os = os0;
cannam@127:      x->dims[1].n = n1;
cannam@127:      x->dims[1].is = is1;
cannam@127:      x->dims[1].os = os1;
cannam@127:      x->dims[2].n = n2;
cannam@127:      x->dims[2].is = is2;
cannam@127:      x->dims[2].os = os2;
cannam@127:      x->dims[3].n = n3;
cannam@127:      x->dims[3].is = is3;
cannam@127:      x->dims[3].os = os3;
cannam@127:      return x;
cannam@127: }
cannam@127: 
cannam@127: tensor *X(mktensor_5d)(INT n0, INT is0, INT os0,
cannam@127: 		       INT n1, INT is1, INT os1,
cannam@127: 		       INT n2, INT is2, INT os2,
cannam@127: 		       INT n3, INT is3, INT os3,
cannam@127: 		       INT n4, INT is4, INT os4)
cannam@127: {
cannam@127:      tensor *x = X(mktensor)(5);
cannam@127:      x->dims[0].n = n0;
cannam@127:      x->dims[0].is = is0;
cannam@127:      x->dims[0].os = os0;
cannam@127:      x->dims[1].n = n1;
cannam@127:      x->dims[1].is = is1;
cannam@127:      x->dims[1].os = os1;
cannam@127:      x->dims[2].n = n2;
cannam@127:      x->dims[2].is = is2;
cannam@127:      x->dims[2].os = os2;
cannam@127:      x->dims[3].n = n3;
cannam@127:      x->dims[3].is = is3;
cannam@127:      x->dims[3].os = os3;
cannam@127:      x->dims[4].n = n4;
cannam@127:      x->dims[4].is = is4;
cannam@127:      x->dims[4].os = os4;
cannam@127:      return x;
cannam@127: }