105 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
		
		
			
		
	
	
			105 lines
		
	
	
		
			3.2 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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								INT X(tensor_max_index)(const tensor *sz)
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								{
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								     int i;
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								     INT ni = 0, no = 0;
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								     A(FINITE_RNK(sz->rnk));
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								     for (i = 0; i < sz->rnk; ++i) {
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								          const iodim *p = sz->dims + i;
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								          ni += (p->n - 1) * X(iabs)(p->is);
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								          no += (p->n - 1) * X(iabs)(p->os);
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								     }
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								     return X(imax)(ni, no);
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								}
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								#define tensor_min_xstride(sz, xs) {			\
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								     A(FINITE_RNK(sz->rnk));				\
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								     if (sz->rnk == 0) return 0;			\
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								     else {						\
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								          int i;					\
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								          INT s = X(iabs)(sz->dims[0].xs);		\
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								          for (i = 1; i < sz->rnk; ++i)			\
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								               s = X(imin)(s, X(iabs)(sz->dims[i].xs));	\
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								          return s;					\
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								     }							\
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								}
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								INT X(tensor_min_istride)(const tensor *sz) tensor_min_xstride(sz, is)
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								INT X(tensor_min_ostride)(const tensor *sz) tensor_min_xstride(sz, os)
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								INT X(tensor_min_stride)(const tensor *sz)
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								{
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								     return X(imin)(X(tensor_min_istride)(sz), X(tensor_min_ostride)(sz));
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								}
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								int X(tensor_inplace_strides)(const tensor *sz)
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								{
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								     int i;
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								     A(FINITE_RNK(sz->rnk));
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								     for (i = 0; i < sz->rnk; ++i) {
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								          const iodim *p = sz->dims + i;
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								          if (p->is != p->os)
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								               return 0;
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								     }
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								     return 1;
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								}
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								int X(tensor_inplace_strides2)(const tensor *a, const tensor *b)
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								{
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								     return X(tensor_inplace_strides(a)) && X(tensor_inplace_strides(b));
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								}
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								/* return true (1) iff *any* strides of sz decrease when we
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								   tensor_inplace_copy(sz, k). */
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								static int tensor_strides_decrease(const tensor *sz, inplace_kind k)
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								{
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								     if (FINITE_RNK(sz->rnk)) {
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								          int i;
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								          for (i = 0; i < sz->rnk; ++i)
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								               if ((sz->dims[i].os - sz->dims[i].is)
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								                   * (k == INPLACE_OS ? (INT)1 : (INT)-1) < 0)
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								                    return 1;
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								     }
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								     return 0;
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								}
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								/* Return true (1) iff *any* strides of sz decrease when we
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								   tensor_inplace_copy(k) *or* if *all* strides of sz are unchanged
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								   but *any* strides of vecsz decrease.  This is used in indirect.c
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								   to determine whether to use INPLACE_IS or INPLACE_OS.
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								   Note: X(tensor_strides_decrease)(sz, vecsz, INPLACE_IS)
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								         || X(tensor_strides_decrease)(sz, vecsz, INPLACE_OS)
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								         || X(tensor_inplace_strides2)(p->sz, p->vecsz)
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								   must always be true. */
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								int X(tensor_strides_decrease)(const tensor *sz, const tensor *vecsz,
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											       inplace_kind k)
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								{
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								     return(tensor_strides_decrease(sz, k)
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									    || (X(tensor_inplace_strides)(sz)
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										&& tensor_strides_decrease(vecsz, k)));
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								}
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