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[LV] Let recordVectorLoopValueForInductionCast to check if IV was created from the cast. 

Summary:
It turned out to be error-prone to expect the callers to handle that - better to
leave the decision to this routine and make the required data to be explicitly
passed to the function.

This handles the case that was missed in the r322473 and fixes the assert
mentioned in PR36524.

Reviewers: dorit, mssimpso, Ayal, dcaballe

Reviewed By: dcaballe

Subscribers: Ka-Ka, hiraditya, dneilson, hsaito, llvm-commits

Differential Revision: https://reviews.llvm.org/D43812

llvm-svn: 327960
This commit is contained in:
Andrei Elovikov 2018-03-20 09:04:39 +00:00
parent 1bbe00e0ca
commit 8b8253fdc7
2 changed files with 76 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

52
llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
View File

@ -542,9 +542,9 @@ protected:
/// Compute scalar induction steps. \p ScalarIV is the scalar induction
/// variable on which to base the steps, \p Step is the size of the step, and
/// \p EntryVal is the value from the original loop that maps to the steps.
/// Note that \p EntryVal doesn't have to be an induction variable (e.g., it
/// can be a truncate instruction).
void buildScalarSteps(Value *ScalarIV, Value *Step, Value *EntryVal,
/// Note that \p EntryVal doesn't have to be an induction variable - it
/// can also be a truncate instruction.
void buildScalarSteps(Value *ScalarIV, Value *Step, Instruction *EntryVal,
const InductionDescriptor &ID);
/// Create a vector induction phi node based on an existing scalar one. \p
@ -571,10 +571,20 @@ protected:
/// vector loop for both the Phi and the cast.
/// If \p VectorLoopValue is a scalarized value, \p Lane is also specified,
/// Otherwise, \p VectorLoopValue is a widened/vectorized value.
void recordVectorLoopValueForInductionCast (const InductionDescriptor &ID,
Value *VectorLoopValue,
unsigned Part,
unsigned Lane = UINT_MAX);
///
/// \p EntryVal is the value from the original loop that maps to the vector
/// phi node and is used to distinguish what is the IV currently being
/// processed - original one (if \p EntryVal is a phi corresponding to the
/// original IV) or the "newly-created" one based on the proof mentioned above
/// (see also buildScalarSteps() and createVectorIntOrFPInductionPHI()). In the
/// latter case \p EntryVal is a TruncInst and we must not record anything for
/// that IV, but it's error-prone to expect callers of this routine to care
/// about that, hence this explicit parameter.
void recordVectorLoopValueForInductionCast(const InductionDescriptor &ID,
const Instruction *EntryVal,
Value *VectorLoopValue,
unsigned Part,
unsigned Lane = UINT_MAX);
/// Generate a shuffle sequence that will reverse the vector Vec.
virtual Value *reverseVector(Value *Vec);
@ -2368,6 +2378,8 @@ Value *InnerLoopVectorizer::getBroadcastInstrs(Value *V) {
void InnerLoopVectorizer::createVectorIntOrFpInductionPHI(
const InductionDescriptor &II, Value *Step, Instruction *EntryVal) {
assert((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) &&
"Expected either an induction phi-node or a truncate of it!");
Value *Start = II.getStartValue();
// Construct the initial value of the vector IV in the vector loop preheader
@ -2421,8 +2433,7 @@ void InnerLoopVectorizer::createVectorIntOrFpInductionPHI(
if (isa<TruncInst>(EntryVal))
addMetadata(LastInduction, EntryVal);
else
recordVectorLoopValueForInductionCast(II, LastInduction, Part);
recordVectorLoopValueForInductionCast(II, EntryVal, LastInduction, Part);
LastInduction = cast<Instruction>(addFastMathFlag(
Builder.CreateBinOp(AddOp, LastInduction, SplatVF, "step.add")));
@ -2456,8 +2467,20 @@ bool InnerLoopVectorizer::needsScalarInduction(Instruction *IV) const {
}
void InnerLoopVectorizer::recordVectorLoopValueForInductionCast(
const InductionDescriptor &ID, Value *VectorLoopVal, unsigned Part,
unsigned Lane) {
const InductionDescriptor &ID, const Instruction *EntryVal,
Value *VectorLoopVal, unsigned Part, unsigned Lane) {
assert((isa<PHINode>(EntryVal) || isa<TruncInst>(EntryVal)) &&
"Expected either an induction phi-node or a truncate of it!");
// This induction variable is not the phi from the original loop but the
// newly-created IV based on the proof that casted Phi is equal to the
// uncasted Phi in the vectorized loop (under a runtime guard possibly). It
// re-uses the same InductionDescriptor that original IV uses but we don't
// have to do any recording in this case - that is done when original IV is
// processed.
if (isa<TruncInst>(EntryVal))
return;
const SmallVectorImpl<Instruction *> &Casts = ID.getCastInsts();
if (Casts.empty())
return;
@ -2554,8 +2577,7 @@ void InnerLoopVectorizer::widenIntOrFpInduction(PHINode *IV, TruncInst *Trunc) {
VectorLoopValueMap.setVectorValue(EntryVal, Part, EntryPart);
if (Trunc)
addMetadata(EntryPart, Trunc);
else
recordVectorLoopValueForInductionCast(ID, EntryPart, Part);
recordVectorLoopValueForInductionCast(ID, EntryVal, EntryPart, Part);
}
}
@ -2626,7 +2648,7 @@ Value *InnerLoopVectorizer::getStepVector(Value *Val, int StartIdx, Value *Step,
}
void InnerLoopVectorizer::buildScalarSteps(Value *ScalarIV, Value *Step,
Value *EntryVal,
Instruction *EntryVal,
const InductionDescriptor &ID) {
// We shouldn't have to build scalar steps if we aren't vectorizing.
assert(VF > 1 && "VF should be greater than one");
@ -2661,7 +2683,7 @@ void InnerLoopVectorizer::buildScalarSteps(Value *ScalarIV, Value *Step,
auto *Mul = addFastMathFlag(Builder.CreateBinOp(MulOp, StartIdx, Step));
auto *Add = addFastMathFlag(Builder.CreateBinOp(AddOp, ScalarIV, Mul));
VectorLoopValueMap.setScalarValue(EntryVal, {Part, Lane}, Add);
recordVectorLoopValueForInductionCast(ID, Add, Part, Lane);
recordVectorLoopValueForInductionCast(ID, EntryVal, Add, Part, Lane);
}
}
}

39
llvm/test/Transforms/LoopVectorize/X86/pr36524.ll Normal file
View File

@ -0,0 +1,39 @@
; RUN: opt -S -scev-version-unknown -loop-vectorize -force-vector-width=4 -force-vector-interleave=1 < %s | FileCheck %s
target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128-ni:1"
define void @foo() {
; CHECK-LABEL: @foo(
; CHECK: vector.body:
; CHECK-NEXT: [[INDEX:%.*]] = phi i64 [ 0, [[VECTOR_PH:%.*]] ], [ [[INDEX_NEXT:%.*]], [[VECTOR_BODY:%.*]] ]
; CHECK-NEXT: [[VEC_IND:%.*]] = phi <4 x i64> [ <i64 2, i64 3, i64 4, i64 5>, [[VECTOR_PH]] ], [ [[VEC_IND_NEXT:%.*]], [[VECTOR_BODY]] ]
; CHECK-NEXT: [[OFFSET_IDX:%.*]] = add i64 2, [[INDEX]]
; CHECK-NEXT: [[TMP7:%.*]] = add i64 [[OFFSET_IDX]], 0
; CHECK-NEXT: [[TMP8:%.*]] = add i64 [[OFFSET_IDX]], 1
; CHECK-NEXT: [[TMP9:%.*]] = add i64 [[OFFSET_IDX]], 2
; CHECK-NEXT: [[TMP10:%.*]] = add i64 [[OFFSET_IDX]], 3
; CHECK-NEXT: [[OFFSET_IDX1:%.*]] = add i64 2, [[INDEX]]
; CHECK-NEXT: [[TMP11:%.*]] = trunc i64 [[OFFSET_IDX1]] to i32
; CHECK-NEXT: [[BROADCAST_SPLATINSERT:%.*]] = insertelement <4 x i32> undef, i32 [[TMP11]], i32 0
; CHECK-NEXT: [[BROADCAST_SPLAT:%.*]] = shufflevector <4 x i32> [[BROADCAST_SPLATINSERT]], <4 x i32> undef, <4 x i32> zeroinitializer
; CHECK-NEXT: [[INDUCTION:%.*]] = add <4 x i32> [[BROADCAST_SPLAT]], <i32 0, i32 1, i32 2, i32 3>
; CHECK-NEXT: [[TMP12:%.*]] = add i32 [[TMP11]], 0
; CHECK-NEXT: [[INDEX_NEXT]] = add i64 [[INDEX]], 4
; CHECK-NEXT: [[VEC_IND_NEXT]] = add <4 x i64> [[VEC_IND]], <i64 4, i64 4, i64 4, i64 4>
; CHECK-NEXT: [[TMP13:%.*]] = icmp eq i64 [[INDEX_NEXT]], 80
; CHECK-NEXT: br i1 [[TMP13]], label [[MIDDLE_BLOCK:%.*]], label [[VECTOR_BODY]], !llvm.loop !0
;
entry:
br label %loop
loop:
%0 = phi i64 [ 2, %entry ], [ %3, %loop ]
%1 = and i64 %0, 4294967295
%2 = trunc i64 %0 to i32
%3 = add nuw nsw i64 %1, 1
%4 = icmp sgt i32 %2, 80
br i1 %4, label %exit, label %loop
exit:
ret void
}