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diff --git a/test/Transforms/LoopVectorize/funcall.ll b/test/Transforms/LoopVectorize/funcall.ll
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+++ b/test/Transforms/LoopVectorize/funcall.ll
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+; RUN: opt -S -loop-vectorize -force-vector-width=2 -force-vector-unroll=1 < %s | FileCheck %s
+
+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"
+
+; Make sure we can vectorize loops with functions to math library functions.
+; They might read the rounding mode but we are only vectorizing loops that
+; contain a limited set of function calls and none of them sets the rounding
+; mode, so vectorizing them is safe.
+
+; CHECK-LABEL: @test(
+; CHECK: <2 x double>
+
+define void @test(double* %d, double %t) {
+entry:
+ br label %for.body
+
+for.body:
+ %indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.body ]
+ %arrayidx = getelementptr inbounds double* %d, i64 %indvars.iv
+ %0 = load double* %arrayidx, align 8
+ %1 = tail call double @llvm.pow.f64(double %0, double %t)
+ store double %1, double* %arrayidx, align 8
+ %indvars.iv.next = add i64 %indvars.iv, 1
+ %lftr.wideiv = trunc i64 %indvars.iv.next to i32
+ %exitcond = icmp ne i32 %lftr.wideiv, 128
+ br i1 %exitcond, label %for.body, label %for.end
+
+for.end:
+ ret void
+}
+
+declare double @llvm.pow.f64(double, double)