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; RUN: llc < %s -march=nvptx64 -mcpu=sm_20 | FileCheck %s
target datalayout = "e-i64:64-v16:16-v32:32-n16:32:64"
target triple = "nvptx64-unknown-unknown"
; Compiled from the following CUDA code:
;
; #pragma nounroll
; for (int i = 0; i < 2; ++i)
; output[i] = input[i];
define void @nounroll(float* %input, float* %output) {
; CHECK-LABEL: .visible .func nounroll(
entry:
br label %for.body
for.body:
; CHECK: .pragma "nounroll"
%i.06 = phi i32 [ 0, %entry ], [ %inc, %for.body ]
%idxprom = sext i32 %i.06 to i64
%arrayidx = getelementptr inbounds float* %input, i64 %idxprom
%0 = load float* %arrayidx, align 4
; CHECK: ld.f32
%arrayidx2 = getelementptr inbounds float* %output, i64 %idxprom
store float %0, float* %arrayidx2, align 4
; CHECK: st.f32
%inc = add nuw nsw i32 %i.06, 1
%exitcond = icmp eq i32 %inc, 2
br i1 %exitcond, label %for.end, label %for.body, !llvm.loop !0
; CHECK-NOT: ld.f32
; CHECK-NOT: st.f32
for.end:
ret void
}
!0 = distinct !{!0, !1}
!1 = !{!"llvm.loop.unroll.disable"}
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