1 /* Analysis Utilities for Loop Vectorization.
2 Copyright (C) 2006, 2007, 2008, 2009 Free Software Foundation, Inc.
3 Contributed by Dorit Nuzman <dorit@il.ibm.com>
5 This file is part of GCC.
7 GCC is free software; you can redistribute it and/or modify it under
8 the terms of the GNU General Public License as published by the Free
9 Software Foundation; either version 3, or (at your option) any later
12 GCC is distributed in the hope that it will be useful, but WITHOUT ANY
13 WARRANTY; without even the implied warranty of MERCHANTABILITY or
14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
17 You should have received a copy of the GNU General Public License
18 along with GCC; see the file COPYING3. If not see
19 <http://www.gnu.org/licenses/>. */
23 #include "coretypes.h"
28 #include "basic-block.h"
29 #include "diagnostic.h"
30 #include "tree-flow.h"
31 #include "tree-dump.h"
36 #include "tree-data-ref.h"
37 #include "tree-vectorizer.h"
41 /* Function prototypes */
42 static void vect_pattern_recog_1
43 (gimple (* ) (gimple
, tree
*, tree
*), gimple_stmt_iterator
);
44 static bool widened_name_p (tree
, gimple
, tree
*, gimple
*);
46 /* Pattern recognition functions */
47 static gimple
vect_recog_widen_sum_pattern (gimple
, tree
*, tree
*);
48 static gimple
vect_recog_widen_mult_pattern (gimple
, tree
*, tree
*);
49 static gimple
vect_recog_dot_prod_pattern (gimple
, tree
*, tree
*);
50 static gimple
vect_recog_pow_pattern (gimple
, tree
*, tree
*);
51 static vect_recog_func_ptr vect_vect_recog_func_ptrs
[NUM_PATTERNS
] = {
52 vect_recog_widen_mult_pattern
,
53 vect_recog_widen_sum_pattern
,
54 vect_recog_dot_prod_pattern
,
55 vect_recog_pow_pattern
};
58 /* Function widened_name_p
60 Check whether NAME, an ssa-name used in USE_STMT,
61 is a result of a type-promotion, such that:
62 DEF_STMT: NAME = NOP (name0)
63 where the type of name0 (HALF_TYPE) is smaller than the type of NAME.
67 widened_name_p (tree name
, gimple use_stmt
, tree
*half_type
, gimple
*def_stmt
)
71 loop_vec_info loop_vinfo
;
72 stmt_vec_info stmt_vinfo
;
73 tree type
= TREE_TYPE (name
);
75 enum vect_def_type dt
;
78 stmt_vinfo
= vinfo_for_stmt (use_stmt
);
79 loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_vinfo
);
81 if (!vect_is_simple_use (name
, loop_vinfo
, NULL
, def_stmt
, &def
, &dt
))
84 if (dt
!= vect_internal_def
85 && dt
!= vect_external_def
&& dt
!= vect_constant_def
)
91 if (!is_gimple_assign (*def_stmt
))
94 if (gimple_assign_rhs_code (*def_stmt
) != NOP_EXPR
)
97 oprnd0
= gimple_assign_rhs1 (*def_stmt
);
99 *half_type
= TREE_TYPE (oprnd0
);
100 if (!INTEGRAL_TYPE_P (type
) || !INTEGRAL_TYPE_P (*half_type
)
101 || (TYPE_UNSIGNED (type
) != TYPE_UNSIGNED (*half_type
))
102 || (TYPE_PRECISION (type
) < (TYPE_PRECISION (*half_type
) * 2)))
105 if (!vect_is_simple_use (oprnd0
, loop_vinfo
, NULL
, &dummy_gimple
, &dummy
,
112 /* Helper to return a new temporary for pattern of TYPE for STMT. If STMT
113 is NULL, the caller must set SSA_NAME_DEF_STMT for the returned SSA var. */
116 vect_recog_temp_ssa_var (tree type
, gimple stmt
)
118 tree var
= create_tmp_var (type
, "patt");
120 add_referenced_var (var
);
121 var
= make_ssa_name (var
, stmt
);
125 /* Function vect_recog_dot_prod_pattern
127 Try to find the following pattern:
133 sum_0 = phi <init, sum_1>
136 S3 x_T = (TYPE1) x_t;
137 S4 y_T = (TYPE1) y_t;
139 [S6 prod = (TYPE2) prod; #optional]
140 S7 sum_1 = prod + sum_0;
142 where 'TYPE1' is exactly double the size of type 'type', and 'TYPE2' is the
143 same size of 'TYPE1' or bigger. This is a special case of a reduction
148 * LAST_STMT: A stmt from which the pattern search begins. In the example,
149 when this function is called with S7, the pattern {S3,S4,S5,S6,S7} will be
154 * TYPE_IN: The type of the input arguments to the pattern.
156 * TYPE_OUT: The type of the output of this pattern.
158 * Return value: A new stmt that will be used to replace the sequence of
159 stmts that constitute the pattern. In this case it will be:
160 WIDEN_DOT_PRODUCT <x_t, y_t, sum_0>
162 Note: The dot-prod idiom is a widening reduction pattern that is
163 vectorized without preserving all the intermediate results. It
164 produces only N/2 (widened) results (by summing up pairs of
165 intermediate results) rather than all N results. Therefore, we
166 cannot allow this pattern when we want to get all the results and in
167 the correct order (as is the case when this computation is in an
168 inner-loop nested in an outer-loop that us being vectorized). */
171 vect_recog_dot_prod_pattern (gimple last_stmt
, tree
*type_in
, tree
*type_out
)
175 tree oprnd00
, oprnd01
;
176 stmt_vec_info stmt_vinfo
= vinfo_for_stmt (last_stmt
);
177 tree type
, half_type
;
180 loop_vec_info loop_info
= STMT_VINFO_LOOP_VINFO (stmt_vinfo
);
181 struct loop
*loop
= LOOP_VINFO_LOOP (loop_info
);
184 if (!is_gimple_assign (last_stmt
))
187 type
= gimple_expr_type (last_stmt
);
189 /* Look for the following pattern
193 DDPROD = (TYPE2) DPROD;
194 sum_1 = DDPROD + sum_0;
196 - DX is double the size of X
197 - DY is double the size of Y
198 - DX, DY, DPROD all have the same type
199 - sum is the same size of DPROD or bigger
200 - sum has been recognized as a reduction variable.
202 This is equivalent to:
203 DPROD = X w* Y; #widen mult
204 sum_1 = DPROD w+ sum_0; #widen summation
206 DPROD = X w* Y; #widen mult
207 sum_1 = DPROD + sum_0; #summation
210 /* Starting from LAST_STMT, follow the defs of its uses in search
211 of the above pattern. */
213 if (gimple_assign_rhs_code (last_stmt
) != PLUS_EXPR
)
216 if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo
))
218 /* Has been detected as widening-summation? */
220 stmt
= STMT_VINFO_RELATED_STMT (stmt_vinfo
);
221 type
= gimple_expr_type (stmt
);
222 if (gimple_assign_rhs_code (stmt
) != WIDEN_SUM_EXPR
)
224 oprnd0
= gimple_assign_rhs1 (stmt
);
225 oprnd1
= gimple_assign_rhs2 (stmt
);
226 half_type
= TREE_TYPE (oprnd0
);
232 if (STMT_VINFO_DEF_TYPE (stmt_vinfo
) != vect_reduction_def
)
234 oprnd0
= gimple_assign_rhs1 (last_stmt
);
235 oprnd1
= gimple_assign_rhs2 (last_stmt
);
236 if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0
)) != TYPE_MAIN_VARIANT (type
)
237 || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1
)) != TYPE_MAIN_VARIANT (type
))
241 if (widened_name_p (oprnd0
, stmt
, &half_type
, &def_stmt
))
244 oprnd0
= gimple_assign_rhs1 (stmt
);
250 /* So far so good. Since last_stmt was detected as a (summation) reduction,
251 we know that oprnd1 is the reduction variable (defined by a loop-header
252 phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
253 Left to check that oprnd0 is defined by a (widen_)mult_expr */
255 prod_type
= half_type
;
256 stmt
= SSA_NAME_DEF_STMT (oprnd0
);
257 /* FORNOW. Can continue analyzing the def-use chain when this stmt in a phi
258 inside the loop (in case we are analyzing an outer-loop). */
259 if (!is_gimple_assign (stmt
))
261 stmt_vinfo
= vinfo_for_stmt (stmt
);
262 gcc_assert (stmt_vinfo
);
263 if (STMT_VINFO_DEF_TYPE (stmt_vinfo
) != vect_internal_def
)
265 if (gimple_assign_rhs_code (stmt
) != MULT_EXPR
)
267 if (STMT_VINFO_IN_PATTERN_P (stmt_vinfo
))
269 /* Has been detected as a widening multiplication? */
271 stmt
= STMT_VINFO_RELATED_STMT (stmt_vinfo
);
272 if (gimple_assign_rhs_code (stmt
) != WIDEN_MULT_EXPR
)
274 stmt_vinfo
= vinfo_for_stmt (stmt
);
275 gcc_assert (stmt_vinfo
);
276 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo
) == vect_internal_def
);
277 oprnd00
= gimple_assign_rhs1 (stmt
);
278 oprnd01
= gimple_assign_rhs2 (stmt
);
282 tree half_type0
, half_type1
;
286 oprnd0
= gimple_assign_rhs1 (stmt
);
287 oprnd1
= gimple_assign_rhs2 (stmt
);
288 if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0
))
289 != TYPE_MAIN_VARIANT (prod_type
)
290 || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1
))
291 != TYPE_MAIN_VARIANT (prod_type
))
293 if (!widened_name_p (oprnd0
, stmt
, &half_type0
, &def_stmt
))
295 oprnd00
= gimple_assign_rhs1 (def_stmt
);
296 if (!widened_name_p (oprnd1
, stmt
, &half_type1
, &def_stmt
))
298 oprnd01
= gimple_assign_rhs1 (def_stmt
);
299 if (TYPE_MAIN_VARIANT (half_type0
) != TYPE_MAIN_VARIANT (half_type1
))
301 if (TYPE_PRECISION (prod_type
) != TYPE_PRECISION (half_type0
) * 2)
305 half_type
= TREE_TYPE (oprnd00
);
306 *type_in
= half_type
;
309 /* Pattern detected. Create a stmt to be used to replace the pattern: */
310 var
= vect_recog_temp_ssa_var (type
, NULL
);
311 rhs
= build3 (DOT_PROD_EXPR
, type
, oprnd00
, oprnd01
, oprnd1
),
312 pattern_stmt
= gimple_build_assign (var
, rhs
);
314 if (vect_print_dump_info (REPORT_DETAILS
))
316 fprintf (vect_dump
, "vect_recog_dot_prod_pattern: detected: ");
317 print_gimple_stmt (vect_dump
, pattern_stmt
, 0, TDF_SLIM
);
320 /* We don't allow changing the order of the computation in the inner-loop
321 when doing outer-loop vectorization. */
322 gcc_assert (!nested_in_vect_loop_p (loop
, last_stmt
));
327 /* Function vect_recog_widen_mult_pattern
329 Try to find the following pattern:
332 TYPE a_T, b_T, prod_T;
338 S5 prod_T = a_T * b_T;
340 where type 'TYPE' is at least double the size of type 'type'.
344 * LAST_STMT: A stmt from which the pattern search begins. In the example,
345 when this function is called with S5, the pattern {S3,S4,S5} is be detected.
349 * TYPE_IN: The type of the input arguments to the pattern.
351 * TYPE_OUT: The type of the output of this pattern.
353 * Return value: A new stmt that will be used to replace the sequence of
354 stmts that constitute the pattern. In this case it will be:
355 WIDEN_MULT <a_t, b_t>
359 vect_recog_widen_mult_pattern (gimple last_stmt
,
363 gimple def_stmt0
, def_stmt1
;
365 tree type
, half_type0
, half_type1
;
370 enum tree_code dummy_code
;
372 VEC (tree
, heap
) *dummy_vec
;
374 if (!is_gimple_assign (last_stmt
))
377 type
= gimple_expr_type (last_stmt
);
379 /* Starting from LAST_STMT, follow the defs of its uses in search
380 of the above pattern. */
382 if (gimple_assign_rhs_code (last_stmt
) != MULT_EXPR
)
385 oprnd0
= gimple_assign_rhs1 (last_stmt
);
386 oprnd1
= gimple_assign_rhs2 (last_stmt
);
387 if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0
)) != TYPE_MAIN_VARIANT (type
)
388 || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1
)) != TYPE_MAIN_VARIANT (type
))
391 /* Check argument 0 */
392 if (!widened_name_p (oprnd0
, last_stmt
, &half_type0
, &def_stmt0
))
394 oprnd0
= gimple_assign_rhs1 (def_stmt0
);
396 /* Check argument 1 */
397 if (!widened_name_p (oprnd1
, last_stmt
, &half_type1
, &def_stmt1
))
399 oprnd1
= gimple_assign_rhs1 (def_stmt1
);
401 if (TYPE_MAIN_VARIANT (half_type0
) != TYPE_MAIN_VARIANT (half_type1
))
404 /* Pattern detected. */
405 if (vect_print_dump_info (REPORT_DETAILS
))
406 fprintf (vect_dump
, "vect_recog_widen_mult_pattern: detected: ");
408 /* Check target support */
409 vectype
= get_vectype_for_scalar_type (half_type0
);
411 || !supportable_widening_operation (WIDEN_MULT_EXPR
, last_stmt
, vectype
,
412 &dummy
, &dummy
, &dummy_code
,
413 &dummy_code
, &dummy_int
, &dummy_vec
))
417 *type_out
= NULL_TREE
;
419 /* Pattern supported. Create a stmt to be used to replace the pattern: */
420 var
= vect_recog_temp_ssa_var (type
, NULL
);
421 pattern_stmt
= gimple_build_assign_with_ops (WIDEN_MULT_EXPR
, var
, oprnd0
,
423 SSA_NAME_DEF_STMT (var
) = pattern_stmt
;
425 if (vect_print_dump_info (REPORT_DETAILS
))
426 print_gimple_stmt (vect_dump
, pattern_stmt
, 0, TDF_SLIM
);
432 /* Function vect_recog_pow_pattern
434 Try to find the following pattern:
438 with POW being one of pow, powf, powi, powif and N being
443 * LAST_STMT: A stmt from which the pattern search begins.
447 * TYPE_IN: The type of the input arguments to the pattern.
449 * TYPE_OUT: The type of the output of this pattern.
451 * Return value: A new stmt that will be used to replace the sequence of
452 stmts that constitute the pattern. In this case it will be:
459 vect_recog_pow_pattern (gimple last_stmt
, tree
*type_in
, tree
*type_out
)
462 tree fn
, base
, exp
= NULL
;
466 if (!is_gimple_call (last_stmt
) || gimple_call_lhs (last_stmt
) == NULL
)
469 type
= gimple_expr_type (last_stmt
);
471 fn
= gimple_call_fndecl (last_stmt
);
472 switch (DECL_FUNCTION_CODE (fn
))
478 base
= gimple_call_arg (last_stmt
, 0);
479 exp
= gimple_call_arg (last_stmt
, 1);
480 if (TREE_CODE (exp
) != REAL_CST
481 && TREE_CODE (exp
) != INTEGER_CST
)
489 /* We now have a pow or powi builtin function call with a constant
492 *type_out
= NULL_TREE
;
494 /* Catch squaring. */
495 if ((host_integerp (exp
, 0)
496 && tree_low_cst (exp
, 0) == 2)
497 || (TREE_CODE (exp
) == REAL_CST
498 && REAL_VALUES_EQUAL (TREE_REAL_CST (exp
), dconst2
)))
500 *type_in
= TREE_TYPE (base
);
502 var
= vect_recog_temp_ssa_var (TREE_TYPE (base
), NULL
);
503 stmt
= gimple_build_assign_with_ops (MULT_EXPR
, var
, base
, base
);
504 SSA_NAME_DEF_STMT (var
) = stmt
;
508 /* Catch square root. */
509 if (TREE_CODE (exp
) == REAL_CST
510 && REAL_VALUES_EQUAL (TREE_REAL_CST (exp
), dconsthalf
))
512 tree newfn
= mathfn_built_in (TREE_TYPE (base
), BUILT_IN_SQRT
);
513 *type_in
= get_vectype_for_scalar_type (TREE_TYPE (base
));
516 gimple stmt
= gimple_build_call (newfn
, 1, base
);
517 if (vectorizable_function (stmt
, *type_in
, *type_in
)
520 var
= vect_recog_temp_ssa_var (TREE_TYPE (base
), stmt
);
521 gimple_call_set_lhs (stmt
, var
);
531 /* Function vect_recog_widen_sum_pattern
533 Try to find the following pattern:
536 TYPE x_T, sum = init;
538 sum_0 = phi <init, sum_1>
541 S3 sum_1 = x_T + sum_0;
543 where type 'TYPE' is at least double the size of type 'type', i.e - we're
544 summing elements of type 'type' into an accumulator of type 'TYPE'. This is
545 a special case of a reduction computation.
549 * LAST_STMT: A stmt from which the pattern search begins. In the example,
550 when this function is called with S3, the pattern {S2,S3} will be detected.
554 * TYPE_IN: The type of the input arguments to the pattern.
556 * TYPE_OUT: The type of the output of this pattern.
558 * Return value: A new stmt that will be used to replace the sequence of
559 stmts that constitute the pattern. In this case it will be:
560 WIDEN_SUM <x_t, sum_0>
562 Note: The widening-sum idiom is a widening reduction pattern that is
563 vectorized without preserving all the intermediate results. It
564 produces only N/2 (widened) results (by summing up pairs of
565 intermediate results) rather than all N results. Therefore, we
566 cannot allow this pattern when we want to get all the results and in
567 the correct order (as is the case when this computation is in an
568 inner-loop nested in an outer-loop that us being vectorized). */
571 vect_recog_widen_sum_pattern (gimple last_stmt
, tree
*type_in
, tree
*type_out
)
575 stmt_vec_info stmt_vinfo
= vinfo_for_stmt (last_stmt
);
576 tree type
, half_type
;
578 loop_vec_info loop_info
= STMT_VINFO_LOOP_VINFO (stmt_vinfo
);
579 struct loop
*loop
= LOOP_VINFO_LOOP (loop_info
);
582 if (!is_gimple_assign (last_stmt
))
585 type
= gimple_expr_type (last_stmt
);
587 /* Look for the following pattern
590 In which DX is at least double the size of X, and sum_1 has been
591 recognized as a reduction variable.
594 /* Starting from LAST_STMT, follow the defs of its uses in search
595 of the above pattern. */
597 if (gimple_assign_rhs_code (last_stmt
) != PLUS_EXPR
)
600 if (STMT_VINFO_DEF_TYPE (stmt_vinfo
) != vect_reduction_def
)
603 oprnd0
= gimple_assign_rhs1 (last_stmt
);
604 oprnd1
= gimple_assign_rhs2 (last_stmt
);
605 if (TYPE_MAIN_VARIANT (TREE_TYPE (oprnd0
)) != TYPE_MAIN_VARIANT (type
)
606 || TYPE_MAIN_VARIANT (TREE_TYPE (oprnd1
)) != TYPE_MAIN_VARIANT (type
))
609 /* So far so good. Since last_stmt was detected as a (summation) reduction,
610 we know that oprnd1 is the reduction variable (defined by a loop-header
611 phi), and oprnd0 is an ssa-name defined by a stmt in the loop body.
612 Left to check that oprnd0 is defined by a cast from type 'type' to type
615 if (!widened_name_p (oprnd0
, last_stmt
, &half_type
, &stmt
))
618 oprnd0
= gimple_assign_rhs1 (stmt
);
619 *type_in
= half_type
;
622 /* Pattern detected. Create a stmt to be used to replace the pattern: */
623 var
= vect_recog_temp_ssa_var (type
, NULL
);
624 pattern_stmt
= gimple_build_assign_with_ops (WIDEN_SUM_EXPR
, var
,
626 SSA_NAME_DEF_STMT (var
) = pattern_stmt
;
628 if (vect_print_dump_info (REPORT_DETAILS
))
630 fprintf (vect_dump
, "vect_recog_widen_sum_pattern: detected: ");
631 print_gimple_stmt (vect_dump
, pattern_stmt
, 0, TDF_SLIM
);
634 /* We don't allow changing the order of the computation in the inner-loop
635 when doing outer-loop vectorization. */
636 gcc_assert (!nested_in_vect_loop_p (loop
, last_stmt
));
642 /* Function vect_pattern_recog_1
645 PATTERN_RECOG_FUNC: A pointer to a function that detects a certain
647 STMT: A stmt from which the pattern search should start.
649 If PATTERN_RECOG_FUNC successfully detected the pattern, it creates an
650 expression that computes the same functionality and can be used to
651 replace the sequence of stmts that are involved in the pattern.
654 This function checks if the expression returned by PATTERN_RECOG_FUNC is
655 supported in vector form by the target. We use 'TYPE_IN' to obtain the
656 relevant vector type. If 'TYPE_IN' is already a vector type, then this
657 indicates that target support had already been checked by PATTERN_RECOG_FUNC.
658 If 'TYPE_OUT' is also returned by PATTERN_RECOG_FUNC, we check that it fits
659 to the available target pattern.
661 This function also does some bookkeeping, as explained in the documentation
662 for vect_recog_pattern. */
665 vect_pattern_recog_1 (
666 gimple (* vect_recog_func
) (gimple
, tree
*, tree
*),
667 gimple_stmt_iterator si
)
669 gimple stmt
= gsi_stmt (si
), pattern_stmt
;
670 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
671 stmt_vec_info pattern_stmt_info
;
672 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
673 tree pattern_vectype
;
674 tree type_in
, type_out
;
677 pattern_stmt
= (* vect_recog_func
) (stmt
, &type_in
, &type_out
);
681 if (VECTOR_MODE_P (TYPE_MODE (type_in
)))
683 /* No need to check target support (already checked by the pattern
684 recognition function). */
685 pattern_vectype
= type_in
;
689 enum machine_mode vec_mode
;
690 enum insn_code icode
;
693 /* Check target support */
694 pattern_vectype
= get_vectype_for_scalar_type (type_in
);
695 if (!pattern_vectype
)
698 if (is_gimple_assign (pattern_stmt
))
699 code
= gimple_assign_rhs_code (pattern_stmt
);
702 gcc_assert (is_gimple_call (pattern_stmt
));
706 optab
= optab_for_tree_code (code
, pattern_vectype
, optab_default
);
707 vec_mode
= TYPE_MODE (pattern_vectype
);
709 || (icode
= optab_handler (optab
, vec_mode
)->insn_code
) ==
712 && (!get_vectype_for_scalar_type (type_out
)
713 || (insn_data
[icode
].operand
[0].mode
!=
714 TYPE_MODE (get_vectype_for_scalar_type (type_out
))))))
718 /* Found a vectorizable pattern. */
719 if (vect_print_dump_info (REPORT_DETAILS
))
721 fprintf (vect_dump
, "pattern recognized: ");
722 print_gimple_stmt (vect_dump
, pattern_stmt
, 0, TDF_SLIM
);
725 /* Mark the stmts that are involved in the pattern. */
726 gsi_insert_before (&si
, pattern_stmt
, GSI_SAME_STMT
);
727 set_vinfo_for_stmt (pattern_stmt
,
728 new_stmt_vec_info (pattern_stmt
, loop_vinfo
, NULL
));
729 pattern_stmt_info
= vinfo_for_stmt (pattern_stmt
);
731 STMT_VINFO_RELATED_STMT (pattern_stmt_info
) = stmt
;
732 STMT_VINFO_DEF_TYPE (pattern_stmt_info
) = STMT_VINFO_DEF_TYPE (stmt_info
);
733 STMT_VINFO_VECTYPE (pattern_stmt_info
) = pattern_vectype
;
734 STMT_VINFO_IN_PATTERN_P (stmt_info
) = true;
735 STMT_VINFO_RELATED_STMT (stmt_info
) = pattern_stmt
;
741 /* Function vect_pattern_recog
744 LOOP_VINFO - a struct_loop_info of a loop in which we want to look for
747 Output - for each computation idiom that is detected we insert a new stmt
748 that provides the same functionality and that can be vectorized. We
749 also record some information in the struct_stmt_info of the relevant
750 stmts, as explained below:
752 At the entry to this function we have the following stmts, with the
753 following initial value in the STMT_VINFO fields:
755 stmt in_pattern_p related_stmt vec_stmt
757 S2: a_2 = ..use(a_i).. - - -
758 S3: a_1 = ..use(a_2).. - - -
759 S4: a_0 = ..use(a_1).. - - -
760 S5: ... = ..use(a_0).. - - -
762 Say the sequence {S1,S2,S3,S4} was detected as a pattern that can be
763 represented by a single stmt. We then:
764 - create a new stmt S6 that will replace the pattern.
765 - insert the new stmt S6 before the last stmt in the pattern
766 - fill in the STMT_VINFO fields as follows:
768 in_pattern_p related_stmt vec_stmt
770 S2: a_2 = ..use(a_i).. - - -
771 S3: a_1 = ..use(a_2).. - - -
772 > S6: a_new = .... - S4 -
773 S4: a_0 = ..use(a_1).. true S6 -
774 S5: ... = ..use(a_0).. - - -
776 (the last stmt in the pattern (S4) and the new pattern stmt (S6) point
777 to each other through the RELATED_STMT field).
779 S6 will be marked as relevant in vect_mark_stmts_to_be_vectorized instead
780 of S4 because it will replace all its uses. Stmts {S1,S2,S3} will
781 remain irrelevant unless used by stmts other than S4.
783 If vectorization succeeds, vect_transform_stmt will skip over {S1,S2,S3}
784 (because they are marked as irrelevant). It will vectorize S6, and record
785 a pointer to the new vector stmt VS6 both from S6 (as usual), and also
786 from S4. We do that so that when we get to vectorizing stmts that use the
787 def of S4 (like S5 that uses a_0), we'll know where to take the relevant
788 vector-def from. S4 will be skipped, and S5 will be vectorized as usual:
790 in_pattern_p related_stmt vec_stmt
792 S2: a_2 = ..use(a_i).. - - -
793 S3: a_1 = ..use(a_2).. - - -
794 > VS6: va_new = .... - - -
795 S6: a_new = .... - S4 VS6
796 S4: a_0 = ..use(a_1).. true S6 VS6
797 > VS5: ... = ..vuse(va_new).. - - -
798 S5: ... = ..use(a_0).. - - -
800 DCE could then get rid of {S1,S2,S3,S4,S5,S6} (if their defs are not used
801 elsewhere), and we'll end up with:
804 VS5: ... = ..vuse(va_new)..
806 If vectorization does not succeed, DCE will clean S6 away (its def is
807 not used), and we'll end up with the original sequence.
811 vect_pattern_recog (loop_vec_info loop_vinfo
)
813 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
814 basic_block
*bbs
= LOOP_VINFO_BBS (loop_vinfo
);
815 unsigned int nbbs
= loop
->num_nodes
;
816 gimple_stmt_iterator si
;
819 gimple (* vect_recog_func_ptr
) (gimple
, tree
*, tree
*);
821 if (vect_print_dump_info (REPORT_DETAILS
))
822 fprintf (vect_dump
, "=== vect_pattern_recog ===");
824 /* Scan through the loop stmts, applying the pattern recognition
825 functions starting at each stmt visited: */
826 for (i
= 0; i
< nbbs
; i
++)
828 basic_block bb
= bbs
[i
];
829 for (si
= gsi_start_bb (bb
); !gsi_end_p (si
); gsi_next (&si
))
831 stmt
= gsi_stmt (si
);
833 /* Scan over all generic vect_recog_xxx_pattern functions. */
834 for (j
= 0; j
< NUM_PATTERNS
; j
++)
836 vect_recog_func_ptr
= vect_vect_recog_func_ptrs
[j
];
837 vect_pattern_recog_1 (vect_recog_func_ptr
, si
);