1; REQUIRES: asserts 2; RUN: opt < %s -force-vector-width=2 -enable-cond-stores-vec -loop-vectorize -debug-only=loop-vectorize -disable-output 2>&1 | FileCheck %s 3 4target datalayout = "e-m:e-i64:64-i128:128-n32:64-S128" 5target triple = "aarch64--linux-gnu" 6 7; Check predication-related cost calculations, including scalarization overhead 8; and block probability scaling. Note that the functionality being tested is 9; not specific to AArch64. We specify a target to get actual values for the 10; instruction costs. 11 12; CHECK-LABEL: predicated_udiv 13; 14; This test checks that we correctly compute the cost of the predicated udiv 15; instruction. If we assume the block probability is 50%, we compute the cost 16; as: 17; 18; Cost for vector lane zero: 19; (udiv(1) + 2 * extractelement(0) + insertelement(0)) / 2 = 0 20; Cost for vector lane one: 21; (udiv(1) + 2 * extractelement(3) + insertelement(3)) / 2 = 5 22; 23; CHECK: Found an estimated cost of 5 for VF 2 For instruction: %tmp4 = udiv i32 %tmp2, %tmp3 24; CHECK: Scalarizing and predicating: %tmp4 = udiv i32 %tmp2, %tmp3 25; 26define i32 @predicated_udiv(i32* %a, i32* %b, i1 %c, i64 %n) { 27entry: 28 br label %for.body 29 30for.body: 31 %i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ] 32 %r = phi i32 [ 0, %entry ], [ %tmp6, %for.inc ] 33 %tmp0 = getelementptr inbounds i32, i32* %a, i64 %i 34 %tmp1 = getelementptr inbounds i32, i32* %b, i64 %i 35 %tmp2 = load i32, i32* %tmp0, align 4 36 %tmp3 = load i32, i32* %tmp1, align 4 37 br i1 %c, label %if.then, label %for.inc 38 39if.then: 40 %tmp4 = udiv i32 %tmp2, %tmp3 41 br label %for.inc 42 43for.inc: 44 %tmp5 = phi i32 [ %tmp3, %for.body ], [ %tmp4, %if.then] 45 %tmp6 = add i32 %r, %tmp5 46 %i.next = add nuw nsw i64 %i, 1 47 %cond = icmp slt i64 %i.next, %n 48 br i1 %cond, label %for.body, label %for.end 49 50for.end: 51 %tmp7 = phi i32 [ %tmp6, %for.inc ] 52 ret i32 %tmp7 53} 54 55; CHECK-LABEL: predicated_store 56; 57; This test checks that we correctly compute the cost of the predicated store 58; instruction. If we assume the block probability is 50%, we compute the cost 59; as: 60; 61; Cost for vector lane zero: 62; (store(2) + 2 * extractelement(0)) / 2 = 1 63; Cost for vector lane one: 64; (store(2) + 2 * extractelement(3)) / 2 = 4 65; 66; CHECK: Found an estimated cost of 5 for VF 2 For instruction: store i32 %tmp2, i32* %tmp0, align 4 67; CHECK: Scalarizing and predicating: store i32 %tmp2, i32* %tmp0, align 4 68; 69define void @predicated_store(i32* %a, i1 %c, i32 %x, i64 %n) { 70entry: 71 br label %for.body 72 73for.body: 74 %i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ] 75 %tmp0 = getelementptr inbounds i32, i32* %a, i64 %i 76 %tmp1 = load i32, i32* %tmp0, align 4 77 br i1 %c, label %if.then, label %for.inc 78 79if.then: 80 %tmp2 = add nsw i32 %tmp1, %x 81 store i32 %tmp2, i32* %tmp0, align 4 82 br label %for.inc 83 84for.inc: 85 %i.next = add nuw nsw i64 %i, 1 86 %cond = icmp slt i64 %i.next, %n 87 br i1 %cond, label %for.body, label %for.end 88 89for.end: 90 ret void 91} 92