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: static void dimcpy(iodim *dst, const iodim *src, int rnk) cannam@127: { cannam@127: int i; cannam@127: if (FINITE_RNK(rnk)) cannam@127: for (i = 0; i < rnk; ++i) cannam@127: dst[i] = src[i]; cannam@127: } cannam@127: cannam@127: tensor *X(tensor_copy)(const tensor *sz) cannam@127: { cannam@127: tensor *x = X(mktensor)(sz->rnk); cannam@127: dimcpy(x->dims, sz->dims, sz->rnk); cannam@127: return x; cannam@127: } cannam@127: cannam@127: /* like X(tensor_copy), but makes strides in-place by cannam@127: setting os = is if k == INPLACE_IS or is = os if k == INPLACE_OS. */ cannam@127: tensor *X(tensor_copy_inplace)(const tensor *sz, inplace_kind k) cannam@127: { cannam@127: tensor *x = X(tensor_copy)(sz); cannam@127: if (FINITE_RNK(x->rnk)) { cannam@127: int i; cannam@127: if (k == INPLACE_OS) cannam@127: for (i = 0; i < x->rnk; ++i) cannam@127: x->dims[i].is = x->dims[i].os; cannam@127: else cannam@127: for (i = 0; i < x->rnk; ++i) cannam@127: x->dims[i].os = x->dims[i].is; cannam@127: } cannam@127: return x; cannam@127: } cannam@127: cannam@127: /* Like X(tensor_copy), but copy all of the dimensions *except* cannam@127: except_dim. */ cannam@127: tensor *X(tensor_copy_except)(const tensor *sz, int except_dim) cannam@127: { cannam@127: tensor *x; cannam@127: cannam@127: A(FINITE_RNK(sz->rnk) && sz->rnk >= 1 && except_dim < sz->rnk); cannam@127: x = X(mktensor)(sz->rnk - 1); cannam@127: dimcpy(x->dims, sz->dims, except_dim); cannam@127: dimcpy(x->dims + except_dim, sz->dims + except_dim + 1, cannam@127: x->rnk - except_dim); cannam@127: return x; cannam@127: } cannam@127: cannam@127: /* Like X(tensor_copy), but copy only rnk dimensions starting cannam@127: with start_dim. */ cannam@127: tensor *X(tensor_copy_sub)(const tensor *sz, int start_dim, int rnk) cannam@127: { cannam@127: tensor *x; cannam@127: cannam@127: A(FINITE_RNK(sz->rnk) && start_dim + rnk <= sz->rnk); cannam@127: x = X(mktensor)(rnk); cannam@127: dimcpy(x->dims, sz->dims + start_dim, rnk); cannam@127: return x; cannam@127: } cannam@127: cannam@127: tensor *X(tensor_append)(const tensor *a, const tensor *b) cannam@127: { cannam@127: if (!FINITE_RNK(a->rnk) || !FINITE_RNK(b->rnk)) { cannam@127: return X(mktensor)(RNK_MINFTY); cannam@127: } else { cannam@127: tensor *x = X(mktensor)(a->rnk + b->rnk); cannam@127: dimcpy(x->dims, a->dims, a->rnk); cannam@127: dimcpy(x->dims + a->rnk, b->dims, b->rnk); cannam@127: return x; cannam@127: } cannam@127: }