1 /* { dg-require-effective-target vect_int } */
10 signed 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 signed 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->short dot product.
14 The dot-product pattern should be detected.
15 Should be vectorized on vect_sdot_qi targets (targets that support
16 dot-product of signed char).
17 This test currently fails to vectorize on targets that support
18 dot-product of chars into and int accumulator.
19 Can also be vectorized as widening-mult + summation,
20 or with type-conversion support.
22 __attribute__ ((noinline
)) short
27 for (i
=0; i
<len
; i
++) {
28 result
+= (X
[i
] * Y
[i
]);
47 /* { dg-final { scan-tree-dump-times "vect_recog_dot_prod_pattern: detected" 1 "vect" } } */
48 /* { dg-final { scan-tree-dump-times "vect_recog_widen_mult_pattern: detected" 1 "vect" } } */
50 /* When vectorizer is enhanced to vectorize accumulation into short for targets
51 that support accumulation into int (e.g. ia64) we'd have:
52 dg-final { scan-tree-dump-times "vectorized 1 loops" 1 "vect" { target vect_sdot_qi } }
54 /* In the meantime expect: */
55 /* { dg-final { scan-tree-dump-times "vectorized 1 loops" 1 "vect" { target { vect_widen_mult_qi_to_hi || vect_unpack } } } } */