1 ; RUN: opt -S -loop-vectorize -force-vector-width=2 -force-vector-unroll=1 < %s | FileCheck %s 2 3 target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-f80:128:128-n8:16:32:64-S128" 4 5 ; Make sure we can vectorize loops with functions to math library functions. 6 ; They might read the rounding mode but we are only vectorizing loops that 7 ; contain a limited set of function calls and none of them sets the rounding 8 ; mode, so vectorizing them is safe. 9 10 ; CHECK: test 11 ; CHECK: <2 x double> 12 13 define void @test(double* %d, double %t) { 14 entry: 15 br label %for.body 16 17 for.body: 18 %indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.body ] 19 %arrayidx = getelementptr inbounds double* %d, i64 %indvars.iv 20 %0 = load double* %arrayidx, align 8 21 %1 = tail call double @llvm.pow.f64(double %0, double %t) 22 store double %1, double* %arrayidx, align 8 23 %indvars.iv.next = add i64 %indvars.iv, 1 24 %lftr.wideiv = trunc i64 %indvars.iv.next to i32 25 %exitcond = icmp ne i32 %lftr.wideiv, 128 26 br i1 %exitcond, label %for.body, label %for.end 27 28 for.end: 29 ret void 30 } 31 32 declare double @llvm.pow.f64(double, double) 33
