1 ; RUN: opt -loop-vectorize -mtriple=thumbv7s-apple-ios6.0.0 -S < %s | FileCheck %s 2 3 target datalayout = "e-p:32:32:32-i1:8:32-i8:8:32-i16:16:32-i32:32:32-i64:32:64-f32:32:32-f64:32:64-v64:32:64-v128:32:128-a0:0:32-n32-S32" 4 5 @kernel = global [512 x float] zeroinitializer, align 4 6 @kernel2 = global [512 x float] zeroinitializer, align 4 7 @kernel3 = global [512 x float] zeroinitializer, align 4 8 @kernel4 = global [512 x float] zeroinitializer, align 4 9 @src_data = global [1536 x float] zeroinitializer, align 4 10 @r_ = global i8 0, align 4 11 @g_ = global i8 0, align 4 12 @b_ = global i8 0, align 4 13 14 ; We don't want to vectorize most loops containing gathers because they are 15 ; expensive. This function represents a point where vectorization starts to 16 ; become beneficial. 17 ; Make sure we are conservative and don't vectorize it. 18 ; CHECK-NOT: <2 x float> 19 ; CHECK-NOT: <4 x float> 20 21 define void @_Z4testmm(i32 %size, i32 %offset) { 22 entry: 23 %cmp53 = icmp eq i32 %size, 0 24 br i1 %cmp53, label %for.end, label %for.body.lr.ph 25 26 for.body.lr.ph: 27 br label %for.body 28 29 for.body: 30 %r.057 = phi float [ 0.000000e+00, %for.body.lr.ph ], [ %add10, %for.body ] 31 %g.056 = phi float [ 0.000000e+00, %for.body.lr.ph ], [ %add20, %for.body ] 32 %v.055 = phi i32 [ 0, %for.body.lr.ph ], [ %inc, %for.body ] 33 %b.054 = phi float [ 0.000000e+00, %for.body.lr.ph ], [ %add30, %for.body ] 34 %add = add i32 %v.055, %offset 35 %mul = mul i32 %add, 3 36 %arrayidx = getelementptr inbounds [1536 x float], [1536 x float]* @src_data, i32 0, i32 %mul 37 %0 = load float, float* %arrayidx, align 4 38 %arrayidx2 = getelementptr inbounds [512 x float], [512 x float]* @kernel, i32 0, i32 %v.055 39 %1 = load float, float* %arrayidx2, align 4 40 %mul3 = fmul fast float %0, %1 41 %arrayidx4 = getelementptr inbounds [512 x float], [512 x float]* @kernel2, i32 0, i32 %v.055 42 %2 = load float, float* %arrayidx4, align 4 43 %mul5 = fmul fast float %mul3, %2 44 %arrayidx6 = getelementptr inbounds [512 x float], [512 x float]* @kernel3, i32 0, i32 %v.055 45 %3 = load float, float* %arrayidx6, align 4 46 %mul7 = fmul fast float %mul5, %3 47 %arrayidx8 = getelementptr inbounds [512 x float], [512 x float]* @kernel4, i32 0, i32 %v.055 48 %4 = load float, float* %arrayidx8, align 4 49 %mul9 = fmul fast float %mul7, %4 50 %add10 = fadd fast float %r.057, %mul9 51 %arrayidx.sum = add i32 %mul, 1 52 %arrayidx11 = getelementptr inbounds [1536 x float], [1536 x float]* @src_data, i32 0, i32 %arrayidx.sum 53 %5 = load float, float* %arrayidx11, align 4 54 %mul13 = fmul fast float %1, %5 55 %mul15 = fmul fast float %2, %mul13 56 %mul17 = fmul fast float %3, %mul15 57 %mul19 = fmul fast float %4, %mul17 58 %add20 = fadd fast float %g.056, %mul19 59 %arrayidx.sum52 = add i32 %mul, 2 60 %arrayidx21 = getelementptr inbounds [1536 x float], [1536 x float]* @src_data, i32 0, i32 %arrayidx.sum52 61 %6 = load float, float* %arrayidx21, align 4 62 %mul23 = fmul fast float %1, %6 63 %mul25 = fmul fast float %2, %mul23 64 %mul27 = fmul fast float %3, %mul25 65 %mul29 = fmul fast float %4, %mul27 66 %add30 = fadd fast float %b.054, %mul29 67 %inc = add i32 %v.055, 1 68 %exitcond = icmp ne i32 %inc, %size 69 br i1 %exitcond, label %for.body, label %for.cond.for.end_crit_edge 70 71 for.cond.for.end_crit_edge: 72 %add30.lcssa = phi float [ %add30, %for.body ] 73 %add20.lcssa = phi float [ %add20, %for.body ] 74 %add10.lcssa = phi float [ %add10, %for.body ] 75 %phitmp = fptoui float %add10.lcssa to i8 76 %phitmp60 = fptoui float %add20.lcssa to i8 77 %phitmp61 = fptoui float %add30.lcssa to i8 78 br label %for.end 79 80 for.end: 81 %r.0.lcssa = phi i8 [ %phitmp, %for.cond.for.end_crit_edge ], [ 0, %entry ] 82 %g.0.lcssa = phi i8 [ %phitmp60, %for.cond.for.end_crit_edge ], [ 0, %entry ] 83 %b.0.lcssa = phi i8 [ %phitmp61, %for.cond.for.end_crit_edge ], [ 0, %entry ] 84 store i8 %r.0.lcssa, i8* @r_, align 4 85 store i8 %g.0.lcssa, i8* @g_, align 4 86 store i8 %b.0.lcssa, i8* @b_, align 4 87 ret void 88 } 89
