1 /* { dg-require-effective-target vect_int } */
2 /* { dg-require-effective-target vect_float } */
9 int iadd_results
[N
] = {0,6,12,18,24,30,36,42,48,54,60,66,72,78,84,90};
10 float fadd_results
[N
] = {0.0,6.0,12.0,18.0,24.0,30.0,36.0,42.0,48.0,54.0,60.0,66.0,72.0,78.0,84.0,90.0};
11 float fmul_results
[N
] = {0.0,3.0,12.0,27.0,48.0,75.0,108.0,147.0,192.0,243.0,300.0,363.0,432.0,507.0,588.0,675.0};
12 float fresults1
[N
] = {192.00,240.00,288.00,336.00,384.00,432.00,480.00,528.00,48.00,54.00,60.00,66.00,72.00,78.00,84.00,90.00};
13 float fresults2
[N
] = {0.00,6.00,12.00,18.00,24.00,30.00,36.00,42.00,0.00,54.00,120.00,198.00,288.00,390.00,504.00,630.00};
15 /****************************************************/
16 __attribute__ ((noinline
))
17 void icheck_results (int *a
, int *results
)
20 for (i
= 0; i
< N
; i
++)
22 if (a
[i
] != results
[i
])
27 __attribute__ ((noinline
))
28 void fcheck_results (float *a
, float *results
)
31 for (i
= 0; i
< N
; i
++)
33 if (a
[i
] != results
[i
])
38 __attribute__ ((noinline
)) void
41 fcheck_results (a
, fmul_results
);
44 __attribute__ ((noinline
)) void
47 fcheck_results (a
, fadd_results
);
50 __attribute__ ((noinline
)) void
53 icheck_results (a
, iadd_results
);
56 __attribute__ ((noinline
)) void
59 fcheck_results (a
, fresults1
);
62 __attribute__ ((noinline
)) void
65 fcheck_results (a
, fresults2
);
70 float b
[N
] = {0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45};
71 float c
[N
] = {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15};
72 float d
[N
] = {0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30};
73 int ic
[N
] = {0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45};
74 int ib
[N
] = {0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45};
76 char cb
[N
] = {0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45};
80 /* All of the loops below are currently vectorizable. */
82 __attribute__ ((noinline
)) int
87 /* Test 1: copy chars. */
88 for (i
= 0; i
< N
; i
++)
93 for (i
= 0; i
< N
; i
++)
100 /* Test 2: fp mult. */
101 for (i
= 0; i
< N
; i
++)
108 /* Test 3: mixed types (int, fp), same nunits in vector. */
109 for (i
= 0; i
< N
; i
++)
111 a
[i
] = b
[i
] + c
[i
] + d
[i
];
112 e
[i
] = b
[i
] + c
[i
] + d
[i
];
113 ia
[i
] = ib
[i
] + ic
[i
];
120 /* Test 4: access with offset. */
121 for (i
= 0; i
< N
/2; i
++)
123 a
[i
] = b
[i
+N
/2] * c
[i
+N
/2] - b
[i
] * c
[i
];
124 e
[i
+N
/2] = b
[i
] * c
[i
+N
/2] + b
[i
+N
/2] * c
[i
];
130 /* Test 5: access with offset */
131 for (i
= 1; i
<=N
-4; i
++)
136 for (i
= 1; i
<=N
-4; i
++)
138 if (a
[i
+3] != b
[i
-1])
143 /* Test 6 - loop induction with stride != 1. */
153 for (i
= 0; i
<N
; i
++)
160 /* Test 7 - reverse access. */
161 for (i
= N
; i
> 0; i
--)
166 for (i
= 0; i
<N
; i
++)
173 /* Tests 8,9,10 - constants. */
174 for (i
= 0; i
< N
; i
++)
179 for (i
= 0; i
< N
; i
++)
185 for (i
= 0; i
< N
; i
++)
190 for (i
= 0; i
< N
; i
++)
196 for (i
= 0; i
< N
; i
++)
201 for (i
= 0; i
< N
; i
++)
203 if (ia
[i
] != ib
[i
] + 5)
217 /* { dg-final { scan-tree-dump-times "vectorized 10 loops" 1 "vect" } } */
218 /* { dg-final { scan-tree-dump-times "Vectorizing an unaligned access" 0 "vect" } } */
219 /* { dg-final { scan-tree-dump-times "Alignment of access forced using peeling" 0 "vect" } } */
220 /* { dg-final { cleanup-tree-dump "vect" } } */