1; RUN: llc < %s -march=nvptx64 -mcpu=sm_20 | FileCheck %s 2 3target datalayout = "e-i64:64-v16:16-v32:32-n16:32:64" 4target triple = "nvptx64-unknown-unknown" 5 6; Compiled from the following CUDA code: 7; 8; #pragma nounroll 9; for (int i = 0; i < 2; ++i) 10; output[i] = input[i]; 11define void @nounroll(float* %input, float* %output) { 12; CHECK-LABEL: .visible .func nounroll( 13entry: 14 br label %for.body 15 16for.body: 17; CHECK: .pragma "nounroll" 18 %i.06 = phi i32 [ 0, %entry ], [ %inc, %for.body ] 19 %idxprom = sext i32 %i.06 to i64 20 %arrayidx = getelementptr inbounds float, float* %input, i64 %idxprom 21 %0 = load float, float* %arrayidx, align 4 22; CHECK: ld.f32 23 %arrayidx2 = getelementptr inbounds float, float* %output, i64 %idxprom 24 store float %0, float* %arrayidx2, align 4 25; CHECK: st.f32 26 %inc = add nuw nsw i32 %i.06, 1 27 %exitcond = icmp eq i32 %inc, 2 28 br i1 %exitcond, label %for.end, label %for.body, !llvm.loop !0 29; CHECK-NOT: ld.f32 30; CHECK-NOT: st.f32 31 32for.end: 33 ret void 34} 35 36!0 = distinct !{!0, !1} 37!1 = !{!"llvm.loop.unroll.disable"} 38