1 /* { dg-require-effective-target vect_int } */
10 unsigned char X
[N
] __attribute__ ((__aligned__(__BIGGEST_ALIGNMENT__
))) = {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63};
11 unsigned char Y
[N
] __attribute__ ((__aligned__(__BIGGEST_ALIGNMENT__
))) = {64,63,62,61,60,59,58,57,56,55,54,53,52,51,50,49,48,47,46,45,44,43,42,41,40,39,38,37,36,35,34,33,32,31,30,29,28,27,26,25,24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2,1};
13 /* char->short->int dot product.
14 Detected as a dot-product pattern.
15 Should be vectorized on targets that support dot-product for unsigned chars
17 and on targets that support widening-multiplication and widening-summation
18 (vect_widen_mult_qi && vec_widen_sum_qi_to_si).
19 Widening-multiplication can also be supported by type promotion and non-widening
20 multiplication (vect_unpack && vect_short_mult);
21 Widening summation can also be supported by type promotion and non-widening
22 summation (vect_unpack).
24 __attribute__ ((noinline
)) unsigned int
27 unsigned int result
= 0;
30 for (i
=0; i
<len
; i
++) {
51 /* { dg-final { scan-tree-dump-times "vect_recog_dot_prod_pattern: detected" 1 "vect" } } */
52 /* { dg-final { scan-tree-dump-times "vectorized 1 loops" 1 "vect" { target vect_udot_qi } } } */
53 /* { dg-final { scan-tree-dump-times "vectorized 1 loops" 1 "vect" { target { vect_widen_mult_qi_to_hi && vect_widen_sum_qi_to_si } } } } */