ARM cost model: Unaligned vectorized double stores are expensive

[oota-llvm.git] / test / Transforms / LoopVectorize / ARM / width-detect.ll

diff --git a/test/Transforms/LoopVectorize/ARM/width-detect.ll b/test/Transforms/LoopVectorize/ARM/width-detect.ll
index c0795b6a79afa0050f51dff214dc8dbb5e3a6643..99d7fa75ee33187687e9b2ee058a9ecc767e2f84 100644 (file)
--- a/test/Transforms/LoopVectorize/ARM/width-detect.ll
+++ b/test/Transforms/LoopVectorize/ARM/width-detect.ll
@@ -3,27 +3,27 @@
 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"
 target triple = "thumbv7-apple-ios3.0.0"
 
-;CHECK:foo_F64
-;CHECK: <2 x double>
+;CHECK:foo_F32
+;CHECK: <4 x float>
 ;CHECK:ret
-define double @foo_F64(double* nocapture %A, i32 %n) nounwind uwtable readonly ssp {
+define float @foo_F32(float* nocapture %A, i32 %n) nounwind uwtable readonly ssp {
   %1 = icmp sgt i32 %n, 0
   br i1 %1, label %.lr.ph, label %._crit_edge
 
 .lr.ph:                                           ; preds = %0, %.lr.ph
   %indvars.iv = phi i64 [ %indvars.iv.next, %.lr.ph ], [ 0, %0 ]
-  %prod.01 = phi double [ %4, %.lr.ph ], [ 0.000000e+00, %0 ]
-  %2 = getelementptr inbounds double* %A, i64 %indvars.iv
-  %3 = load double* %2, align 8
-  %4 = fmul fast double %prod.01, %3
+  %prod.01 = phi float [ %4, %.lr.ph ], [ 0.000000e+00, %0 ]
+  %2 = getelementptr inbounds float* %A, i64 %indvars.iv
+  %3 = load float* %2, align 8
+  %4 = fmul fast float %prod.01, %3
   %indvars.iv.next = add i64 %indvars.iv, 1
   %lftr.wideiv = trunc i64 %indvars.iv.next to i32
   %exitcond = icmp eq i32 %lftr.wideiv, %n
   br i1 %exitcond, label %._crit_edge, label %.lr.ph
 
 ._crit_edge:                                      ; preds = %.lr.ph, %0
-  %prod.0.lcssa = phi double [ 0.000000e+00, %0 ], [ %4, %.lr.ph ]
-  ret double %prod.0.lcssa
+  %prod.0.lcssa = phi float [ 0.000000e+00, %0 ], [ %4, %.lr.ph ]
+  ret float %prod.0.lcssa
 }
 
 ;CHECK:foo_I8