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-rw-r--r--llvm/test/Transforms/LoopVectorize/X86/vect.omp.force.ll87
1 files changed, 87 insertions, 0 deletions
diff --git a/llvm/test/Transforms/LoopVectorize/X86/vect.omp.force.ll b/llvm/test/Transforms/LoopVectorize/X86/vect.omp.force.ll
new file mode 100644
index 00000000000..90114672c8f
--- /dev/null
+++ b/llvm/test/Transforms/LoopVectorize/X86/vect.omp.force.ll
@@ -0,0 +1,87 @@
+; 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
+; REQUIRES: asserts
+
+; CHECK: LV: Loop hints: force=enabled
+; CHECK: LV: Loop hints: force=?
+; No more loops in the module
+; CHECK-NOT: LV: Loop hints: force=
+; CHECK: 2 loop-vectorize - Number of loops analyzed for vectorization
+; CHECK: 1 loop-vectorize - Number of loops vectorized
+
+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"
+target triple = "x86_64-apple-macosx10.8.0"
+
+;
+; The source code for the test:
+;
+; #include <math.h>
+; void foo(float* restrict A, float * restrict B)
+; {
+; for (int i = 0; i < 1000; i+=2) A[i] = sinf(B[i]);
+; }
+;
+
+;
+; This loop will be vectorized, although the scalar cost is lower than any of vector costs, but vectorization is explicitly forced in metadata.
+;
+
+define void @vectorized(float* noalias nocapture %A, float* noalias nocapture %B) {
+entry:
+ br label %for.body
+
+for.body:
+ %indvars.iv = phi i64 [ %indvars.iv.next, %for.body ], [ 0, %entry ]
+ %arrayidx = getelementptr inbounds float, float* %B, i64 %indvars.iv
+ %0 = load float, float* %arrayidx, align 4, !llvm.access.group !11
+ %call = tail call float @llvm.sin.f32(float %0)
+ %arrayidx2 = getelementptr inbounds float, float* %A, i64 %indvars.iv
+ store float %call, float* %arrayidx2, align 4, !llvm.access.group !11
+ %indvars.iv.next = add nuw nsw i64 %indvars.iv, 2
+ %lftr.wideiv = trunc i64 %indvars.iv.next to i32
+ %exitcond = icmp eq i32 %lftr.wideiv, 1000
+ br i1 %exitcond, label %for.end.loopexit, label %for.body, !llvm.loop !1
+
+for.end.loopexit:
+ br label %for.end
+
+for.end:
+ ret void
+}
+
+!1 = !{!1, !2, !{!"llvm.loop.parallel_accesses", !11}}
+!2 = !{!"llvm.loop.vectorize.enable", i1 true}
+!11 = distinct !{}
+
+;
+; This method will not be vectorized, as scalar cost is lower than any of vector costs.
+;
+
+define void @not_vectorized(float* noalias nocapture %A, float* noalias nocapture %B) {
+entry:
+ br label %for.body
+
+for.body:
+ %indvars.iv = phi i64 [ %indvars.iv.next, %for.body ], [ 0, %entry ]
+ %arrayidx = getelementptr inbounds float, float* %B, i64 %indvars.iv
+ %0 = load float, float* %arrayidx, align 4, !llvm.access.group !13
+ %call = tail call float @llvm.sin.f32(float %0)
+ %arrayidx2 = getelementptr inbounds float, float* %A, i64 %indvars.iv
+ store float %call, float* %arrayidx2, align 4, !llvm.access.group !13
+ %indvars.iv.next = add nuw nsw i64 %indvars.iv, 2
+ %lftr.wideiv = trunc i64 %indvars.iv.next to i32
+ %exitcond = icmp eq i32 %lftr.wideiv, 1000
+ br i1 %exitcond, label %for.end.loopexit, label %for.body, !llvm.loop !3
+
+for.end.loopexit:
+ br label %for.end
+
+for.end:
+ ret void
+}
+
+declare float @llvm.sin.f32(float) nounwind readnone
+
+; Dummy metadata
+!3 = !{!3, !{!"llvm.loop.parallel_accesses", !13}}
+!13 = distinct !{}
+
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