[CostModel] add tests for FP reductions; NFC

diff --git a/llvm/test/Analysis/CostModel/X86/intrinsic-cost-kinds.ll b/llvm/test/Analysis/CostModel/X86/intrinsic-cost-kinds.ll
index 1bedeb7..4671325 100644 (file)
--- a/llvm/test/Analysis/CostModel/X86/intrinsic-cost-kinds.ll
+++ b/llvm/test/Analysis/CostModel/X86/intrinsic-cost-kinds.ll
@@ -28,6 +28,8 @@ declare <16 x i32> @llvm.fshl.v16i32(<16 x i32>, <16 x i32>, <16 x i32>)
 declare <16 x float> @llvm.masked.gather.v16f32.v16p0f32(<16 x float*>, i32, <16 x i1>, <16 x float>)
 declare void @llvm.masked.scatter.v16f32.v16p0f32(<16 x float>, <16 x float*>, i32, <16 x i1>)
 declare float @llvm.vector.reduce.fmax.v16f32(<16 x float>)
+declare float @llvm.vector.reduce.fmul.v16f32(float, <16 x float>)
+declare float @llvm.vector.reduce.fadd.v16f32(float, <16 x float>)
 
 declare void @llvm.memcpy.p0i8.p0i8.i32(i8*, i8*, i32, i1)
 
@@ -224,6 +226,48 @@ define void @reduce_fmax(<16 x float> %va) {
   ret void
 }
 
+define void @reduce_fmul(<16 x float> %va) {
+; THRU-LABEL: 'reduce_fmul'
+; THRU-NEXT:  Cost Model: Found an estimated cost of 12 for instruction: %v = call float @llvm.vector.reduce.fmul.v16f32(float 4.200000e+01, <16 x float> %va)
+; THRU-NEXT:  Cost Model: Found an estimated cost of 0 for instruction: ret void
+;
+; LATE-LABEL: 'reduce_fmul'
+; LATE-NEXT:  Cost Model: Found an estimated cost of 3 for instruction: %v = call float @llvm.vector.reduce.fmul.v16f32(float 4.200000e+01, <16 x float> %va)
+; LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+; SIZE-LABEL: 'reduce_fmul'
+; SIZE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: %v = call float @llvm.vector.reduce.fmul.v16f32(float 4.200000e+01, <16 x float> %va)
+; SIZE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+; SIZE_LATE-LABEL: 'reduce_fmul'
+; SIZE_LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: %v = call float @llvm.vector.reduce.fmul.v16f32(float 4.200000e+01, <16 x float> %va)
+; SIZE_LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+  %v = call float @llvm.vector.reduce.fmul.v16f32(float 42.0, <16 x float> %va)
+  ret void
+}
+
+define void @reduce_fadd_fast(<16 x float> %va) {
+; THRU-LABEL: 'reduce_fadd_fast'
+; THRU-NEXT:  Cost Model: Found an estimated cost of 10 for instruction: %v = call fast float @llvm.vector.reduce.fadd.v16f32(float 0.000000e+00, <16 x float> %va)
+; THRU-NEXT:  Cost Model: Found an estimated cost of 0 for instruction: ret void
+;
+; LATE-LABEL: 'reduce_fadd_fast'
+; LATE-NEXT:  Cost Model: Found an estimated cost of 3 for instruction: %v = call fast float @llvm.vector.reduce.fadd.v16f32(float 0.000000e+00, <16 x float> %va)
+; LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+; SIZE-LABEL: 'reduce_fadd_fast'
+; SIZE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: %v = call fast float @llvm.vector.reduce.fadd.v16f32(float 0.000000e+00, <16 x float> %va)
+; SIZE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+; SIZE_LATE-LABEL: 'reduce_fadd_fast'
+; SIZE_LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: %v = call fast float @llvm.vector.reduce.fadd.v16f32(float 0.000000e+00, <16 x float> %va)
+; SIZE_LATE-NEXT:  Cost Model: Found an estimated cost of 1 for instruction: ret void
+;
+  %v = call fast float @llvm.vector.reduce.fadd.v16f32(float 0.0, <16 x float> %va)
+  ret void
+}
+
 define void @memcpy(i8* %a, i8* %b, i32 %c) {
 ; THRU-LABEL: 'memcpy'
 ; THRU-NEXT:  Cost Model: Found an estimated cost of 4 for instruction: call void @llvm.memcpy.p0i8.p0i8.i32(i8* align 1 %a, i8* align 1 %b, i32 32, i1 false)