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git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@191853 91177308-0d34-0410-b5e6-96231b3b80d8
33 lines
1.2 KiB
LLVM
33 lines
1.2 KiB
LLVM
; RUN: opt -S -loop-vectorize -force-vector-width=2 -force-vector-unroll=1 < %s | FileCheck %s
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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"
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; Make sure we can vectorize loops with functions to math library functions.
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; They might read the rounding mode but we are only vectorizing loops that
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; contain a limited set of function calls and none of them sets the rounding
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; mode, so vectorizing them is safe.
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; CHECK-LABEL: @test(
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; CHECK: <2 x double>
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define void @test(double* %d, double %t) {
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entry:
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br label %for.body
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for.body:
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%indvars.iv = phi i64 [ 0, %entry ], [ %indvars.iv.next, %for.body ]
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%arrayidx = getelementptr inbounds double* %d, i64 %indvars.iv
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%0 = load double* %arrayidx, align 8
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%1 = tail call double @llvm.pow.f64(double %0, double %t)
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store double %1, double* %arrayidx, align 8
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%indvars.iv.next = add i64 %indvars.iv, 1
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%lftr.wideiv = trunc i64 %indvars.iv.next to i32
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%exitcond = icmp ne i32 %lftr.wideiv, 128
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br i1 %exitcond, label %for.body, label %for.end
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for.end:
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ret void
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}
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declare double @llvm.pow.f64(double, double)
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