[llvm] 4afeda9 - [LoopVectorize] Simplify scalar cost calculation in getInstructionCost
David Sherwood via llvm-commits
llvm-commits at lists.llvm.org
Tue Apr 27 07:26:32 PDT 2021
Author: David Sherwood
Date: 2021-04-27T15:26:15+01:00
New Revision: 4afeda9157cffd2daa83f8075d73f1e11ea34c81
URL: https://github.com/llvm/llvm-project/commit/4afeda9157cffd2daa83f8075d73f1e11ea34c81
DIFF: https://github.com/llvm/llvm-project/commit/4afeda9157cffd2daa83f8075d73f1e11ea34c81.diff
LOG: [LoopVectorize] Simplify scalar cost calculation in getInstructionCost
This patch simplifies the calculation of certain costs in
getInstructionCost when isScalarAfterVectorization() returns a true value.
There are a few places where we multiply a cost by a number N, i.e.
unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1;
return N * TTI.getArithmeticInstrCost(...
After some investigation it seems that there are only these cases that occur
in practice:
1. VF is a scalar, in which case N = 1.
2. VF is a vector. We can only get here if: a) the instruction is a
GEP/bitcast/PHI with scalar uses, or b) this is an update to an induction
variable that remains scalar.
I have changed the code so that N is assumed to always be 1. For GEPs
the cost is always 0, since this is calculated later on as part of the
load/store cost. PHI nodes are costed separately and were never previously
multiplied by VF. For all other cases I have added an assert that none of
the users needs scalarising, which didn't fire in any unit tests.
Only one test required fixing and I believe the original cost for the scalar
add instruction to have been wrong, since only one copy remains after
vectorisation.
I have also added a new test for the case when a pointer PHI feeds directly
into a store that will be scalarised as we were previously never testing it.
Differential Revision: https://reviews.llvm.org/D99718
Added:
Modified:
llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
llvm/test/Transforms/LoopVectorize/AArch64/no_vector_instructions.ll
llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll
Removed:
################################################################################
diff --git a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
index 17e9947c1c63..ecbb0befcf71 100644
--- a/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
+++ b/llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
@@ -7316,10 +7316,37 @@ LoopVectorizationCostModel::getInstructionCost(Instruction *I, ElementCount VF,
Type *RetTy = I->getType();
if (canTruncateToMinimalBitwidth(I, VF))
RetTy = IntegerType::get(RetTy->getContext(), MinBWs[I]);
- VectorTy = isScalarAfterVectorization(I, VF) ? RetTy : ToVectorTy(RetTy, VF);
auto SE = PSE.getSE();
TTI::TargetCostKind CostKind = TTI::TCK_RecipThroughput;
+ auto hasSingleCopyAfterVectorization = [this](Instruction *I,
+ ElementCount VF) -> bool {
+ if (VF.isScalar())
+ return true;
+
+ auto Scalarized = InstsToScalarize.find(VF);
+ assert(Scalarized != InstsToScalarize.end() &&
+ "VF not yet analyzed for scalarization profitability");
+ return !Scalarized->second.count(I) &&
+ llvm::all_of(I->users(), [&](User *U) {
+ auto *UI = cast<Instruction>(U);
+ return !Scalarized->second.count(UI);
+ });
+ };
+
+ if (isScalarAfterVectorization(I, VF)) {
+ // With the exception of GEPs and PHIs, after scalarization there should
+ // only be one copy of the instruction generated in the loop. This is
+ // because the VF is either 1, or any instructions that need scalarizing
+ // have already been dealt with by the the time we get here. As a result,
+ // it means we don't have to multiply the instruction cost by VF.
+ assert(I->getOpcode() == Instruction::GetElementPtr ||
+ I->getOpcode() == Instruction::PHI ||
+ hasSingleCopyAfterVectorization(I, VF));
+ VectorTy = RetTy;
+ } else
+ VectorTy = ToVectorTy(RetTy, VF);
+
// TODO: We need to estimate the cost of intrinsic calls.
switch (I->getOpcode()) {
case Instruction::GetElementPtr:
@@ -7447,21 +7474,16 @@ LoopVectorizationCostModel::getInstructionCost(Instruction *I, ElementCount VF,
Op2VK = TargetTransformInfo::OK_UniformValue;
SmallVector<const Value *, 4> Operands(I->operand_values());
- unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1;
- return N * TTI.getArithmeticInstrCost(
- I->getOpcode(), VectorTy, CostKind,
- TargetTransformInfo::OK_AnyValue,
- Op2VK, TargetTransformInfo::OP_None, Op2VP, Operands, I);
+ return TTI.getArithmeticInstrCost(
+ I->getOpcode(), VectorTy, CostKind, TargetTransformInfo::OK_AnyValue,
+ Op2VK, TargetTransformInfo::OP_None, Op2VP, Operands, I);
}
case Instruction::FNeg: {
assert(!VF.isScalable() && "VF is assumed to be non scalable.");
- unsigned N = isScalarAfterVectorization(I, VF) ? VF.getKnownMinValue() : 1;
- return N * TTI.getArithmeticInstrCost(
- I->getOpcode(), VectorTy, CostKind,
- TargetTransformInfo::OK_AnyValue,
- TargetTransformInfo::OK_AnyValue,
- TargetTransformInfo::OP_None, TargetTransformInfo::OP_None,
- I->getOperand(0), I);
+ return TTI.getArithmeticInstrCost(
+ I->getOpcode(), VectorTy, CostKind, TargetTransformInfo::OK_AnyValue,
+ TargetTransformInfo::OK_AnyValue, TargetTransformInfo::OP_None,
+ TargetTransformInfo::OP_None, I->getOperand(0), I);
}
case Instruction::Select: {
SelectInst *SI = cast<SelectInst>(I);
@@ -7605,14 +7627,7 @@ LoopVectorizationCostModel::getInstructionCost(Instruction *I, ElementCount VF,
}
}
- unsigned N;
- if (isScalarAfterVectorization(I, VF)) {
- assert(!VF.isScalable() && "VF is assumed to be non scalable");
- N = VF.getKnownMinValue();
- } else
- N = 1;
- return N *
- TTI.getCastInstrCost(Opcode, VectorTy, SrcVecTy, CCH, CostKind, I);
+ return TTI.getCastInstrCost(Opcode, VectorTy, SrcVecTy, CCH, CostKind, I);
}
case Instruction::Call: {
bool NeedToScalarize;
@@ -7627,11 +7642,8 @@ LoopVectorizationCostModel::getInstructionCost(Instruction *I, ElementCount VF,
case Instruction::ExtractValue:
return TTI.getInstructionCost(I, TTI::TCK_RecipThroughput);
default:
- // The cost of executing VF copies of the scalar instruction. This opcode
- // is unknown. Assume that it is the same as 'mul'.
- return VF.getKnownMinValue() * TTI.getArithmeticInstrCost(
- Instruction::Mul, VectorTy, CostKind) +
- getScalarizationOverhead(I, VF);
+ // This opcode is unknown. Assume that it is the same as 'mul'.
+ return TTI.getArithmeticInstrCost(Instruction::Mul, VectorTy, CostKind);
} // end of switch.
}
diff --git a/llvm/test/Transforms/LoopVectorize/AArch64/no_vector_instructions.ll b/llvm/test/Transforms/LoopVectorize/AArch64/no_vector_instructions.ll
index 247ea35ff5d0..3061998518ad 100644
--- a/llvm/test/Transforms/LoopVectorize/AArch64/no_vector_instructions.ll
+++ b/llvm/test/Transforms/LoopVectorize/AArch64/no_vector_instructions.ll
@@ -6,7 +6,7 @@ target triple = "aarch64--linux-gnu"
; CHECK-LABEL: all_scalar
; CHECK: LV: Found scalar instruction: %i.next = add nuw nsw i64 %i, 2
-; CHECK: LV: Found an estimated cost of 2 for VF 2 For instruction: %i.next = add nuw nsw i64 %i, 2
+; CHECK: LV: Found an estimated cost of 1 for VF 2 For instruction: %i.next = add nuw nsw i64 %i, 2
; CHECK: LV: Not considering vector loop of width 2 because it will not generate any vector instructions
;
define void @all_scalar(i64* %a, i64 %n) {
diff --git a/llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll b/llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll
index b0ebb4edf2ad..858b28ddd321 100644
--- a/llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll
+++ b/llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll
@@ -86,6 +86,41 @@ for.end:
ret void
}
+; CHECK-LABEL: predicated_store_phi
+;
+; Same as predicate_store except we use a pointer PHI to maintain the address
+;
+; CHECK: Found new scalar instruction: %addr = phi i32* [ %a, %entry ], [ %addr.next, %for.inc ]
+; CHECK: Found new scalar instruction: %addr.next = getelementptr inbounds i32, i32* %addr, i64 1
+; CHECK: Scalarizing and predicating: store i32 %tmp2, i32* %addr, align 4
+; CHECK: Found an estimated cost of 0 for VF 2 For instruction: %addr = phi i32* [ %a, %entry ], [ %addr.next, %for.inc ]
+; CHECK: Found an estimated cost of 3 for VF 2 For instruction: store i32 %tmp2, i32* %addr, align 4
+;
+define void @predicated_store_phi(i32* %a, i1 %c, i32 %x, i64 %n) {
+entry:
+ br label %for.body
+
+for.body:
+ %i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
+ %addr = phi i32 * [ %a, %entry ], [ %addr.next, %for.inc ]
+ %tmp1 = load i32, i32* %addr, align 4
+ %tmp2 = add nsw i32 %tmp1, %x
+ br i1 %c, label %if.then, label %for.inc
+
+if.then:
+ store i32 %tmp2, i32* %addr, align 4
+ br label %for.inc
+
+for.inc:
+ %i.next = add nuw nsw i64 %i, 1
+ %cond = icmp slt i64 %i.next, %n
+ %addr.next = getelementptr inbounds i32, i32* %addr, i64 1
+ br i1 %cond, label %for.body, label %for.end
+
+for.end:
+ ret void
+}
+
; CHECK-LABEL: predicated_udiv_scalarized_operand
;
; This test checks that we correctly compute the cost of the predicated udiv
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