1 ; RUN: opt < %s -loop-vectorize -mtriple=x86_64-apple-macosx10.8.0 -mcpu=corei7-avx -debug-only=loop-vectorize -stats -S 2>&1 | FileCheck %s 2 ; REQUIRES: asserts 3 4 ; CHECK: LV: Loop hints: force=enabled 5 ; CHECK: LV: Loop hints: force=? 6 ; No more loops in the module 7 ; CHECK-NOT: LV: Loop hints: force= 8 ; CHECK: 2 loop-vectorize - Number of loops analyzed for vectorization 9 ; CHECK: 1 loop-vectorize - Number of loops vectorized 10 11 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" 12 target triple = "x86_64-apple-macosx10.8.0" 13 14 ; 15 ; The source code for the test: 16 ; 17 ; #include <math.h> 18 ; void foo(float* restrict A, float * restrict B) 19 ; { 20 ; for (int i = 0; i < 1000; i+=2) A[i] = sinf(B[i]); 21 ; } 22 ; 23 24 ; 25 ; This loop will be vectorized, although the scalar cost is lower than any of vector costs, but vectorization is explicitly forced in metadata. 26 ; 27 28 define void @vectorized(float* noalias nocapture %A, float* noalias nocapture %B) { 29 entry: 30 br label %for.body 31 32 for.body: 33 %indvars.iv = phi i64 [ %indvars.iv.next, %for.body ], [ 0, %entry ] 34 %arrayidx = getelementptr inbounds float, float* %B, i64 %indvars.iv 35 %0 = load float, float* %arrayidx, align 4, !llvm.mem.parallel_loop_access !1 36 %call = tail call float @llvm.sin.f32(float %0) 37 %arrayidx2 = getelementptr inbounds float, float* %A, i64 %indvars.iv 38 store float %call, float* %arrayidx2, align 4, !llvm.mem.parallel_loop_access !1 39 %indvars.iv.next = add nuw nsw i64 %indvars.iv, 2 40 %lftr.wideiv = trunc i64 %indvars.iv.next to i32 41 %exitcond = icmp eq i32 %lftr.wideiv, 1000 42 br i1 %exitcond, label %for.end.loopexit, label %for.body, !llvm.loop !1 43 44 for.end.loopexit: 45 br label %for.end 46 47 for.end: 48 ret void 49 } 50 51 !1 = !{!1, !2} 52 !2 = !{!"llvm.loop.vectorize.enable", i1 true} 53 54 ; 55 ; This method will not be vectorized, as scalar cost is lower than any of vector costs. 56 ; 57 58 define void @not_vectorized(float* noalias nocapture %A, float* noalias nocapture %B) { 59 entry: 60 br label %for.body 61 62 for.body: 63 %indvars.iv = phi i64 [ %indvars.iv.next, %for.body ], [ 0, %entry ] 64 %arrayidx = getelementptr inbounds float, float* %B, i64 %indvars.iv 65 %0 = load float, float* %arrayidx, align 4, !llvm.mem.parallel_loop_access !3 66 %call = tail call float @llvm.sin.f32(float %0) 67 %arrayidx2 = getelementptr inbounds float, float* %A, i64 %indvars.iv 68 store float %call, float* %arrayidx2, align 4, !llvm.mem.parallel_loop_access !3 69 %indvars.iv.next = add nuw nsw i64 %indvars.iv, 2 70 %lftr.wideiv = trunc i64 %indvars.iv.next to i32 71 %exitcond = icmp eq i32 %lftr.wideiv, 1000 72 br i1 %exitcond, label %for.end.loopexit, label %for.body, !llvm.loop !3 73 74 for.end.loopexit: 75 br label %for.end 76 77 for.end: 78 ret void 79 } 80 81 declare float @llvm.sin.f32(float) nounwind readnone 82 83 ; Dummy metadata 84 !3 = !{!3} 85 86
