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[CostModel] add tests for FP reductions; NFC

This commit is contained in:
Sanjay Patel 2020-10-27 17:23:42 -04:00
parent 70bba9ef35
commit 138fda5dd2
1 changed files with 44 additions and 0 deletions
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44
llvm/test/Analysis/CostModel/X86/intrinsic-cost-kinds.ll
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@ -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)