[PATCH] D91060: [LoopVectorizer] NFC: Remove unnecessary asserts that VF cannot be scalable.

Sander de Smalen via Phabricator via llvm-commits llvm-commits at lists.llvm.org
Mon Nov 9 02:28:18 PST 2020


sdesmalen created this revision.
sdesmalen added reviewers: dmgreen, vkmr, david-arm, ctetreau, fhahn.
Herald added a subscriber: hiraditya.
Herald added a project: LLVM.
sdesmalen requested review of this revision.

This patch removes a number of asserts that VF is not scalable, even though
the code where this assert lives does nothing that prevents VF being scalable.


Repository:
  rG LLVM Github Monorepo

https://reviews.llvm.org/D91060

Files:
  llvm/lib/Transforms/Vectorize/LoopVectorize.cpp


Index: llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
===================================================================
--- llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
+++ llvm/lib/Transforms/Vectorize/LoopVectorize.cpp
@@ -348,7 +348,6 @@
 /// type is irregular if its allocated size doesn't equal the store size of an
 /// element of the corresponding vector type at the given vectorization factor.
 static bool hasIrregularType(Type *Ty, const DataLayout &DL, ElementCount VF) {
-  assert(!VF.isScalable() && "scalable vectors not yet supported.");
   // Determine if an array of VF elements of type Ty is "bitcast compatible"
   // with a <VF x Ty> vector.
   if (VF.isVector()) {
@@ -1225,9 +1224,7 @@
   /// width \p VF. Return CM_Unknown if this instruction did not pass
   /// through the cost modeling.
   InstWidening getWideningDecision(Instruction *I, ElementCount VF) {
-    assert(!VF.isScalable() && "scalable vectors not yet supported.");
-    assert(VF.isVector() && "Expected VF >=2");
-
+    assert(VF.isVector() && "Expected VF to be a vector VF");
     // Cost model is not run in the VPlan-native path - return conservative
     // result until this changes.
     if (EnableVPlanNativePath)
@@ -3698,8 +3695,10 @@
   // profile is not inherently precise anyway. Note also possible bypass of
   // vector code caused by legality checks is ignored, assigning all the weight
   // to the vector loop, optimistically.
-  assert(!VF.isScalable() &&
-         "cannot use scalable ElementCount to determine unroll factor");
+  //
+  // For scalable vectorization we can't know at compile time how many iterations
+  // of the loop are handled in one vector iteration, so instead assume a pessimistic
+  // vscale of '1'.
   setProfileInfoAfterUnrolling(
       LI->getLoopFor(LoopScalarBody), LI->getLoopFor(LoopVectorBody),
       LI->getLoopFor(LoopScalarBody), VF.getKnownMinValue() * UF);
@@ -4504,7 +4503,6 @@
 
 void InnerLoopVectorizer::widenInstruction(Instruction &I, VPUser &User,
                                            VPTransformState &State) {
-  assert(!VF.isScalable() && "scalable vectors not yet supported.");
   switch (I.getOpcode()) {
   case Instruction::Call:
   case Instruction::Br:
@@ -4592,7 +4590,6 @@
     setDebugLocFromInst(Builder, CI);
 
     /// Vectorize casts.
-    assert(!VF.isScalable() && "VF is assumed to be non scalable.");
     Type *DestTy =
         (VF.isScalar()) ? CI->getType() : VectorType::get(CI->getType(), VF);
 
@@ -4893,7 +4890,6 @@
 
 bool LoopVectorizationCostModel::isScalarWithPredication(Instruction *I,
                                                          ElementCount VF) {
-  assert(!VF.isScalable() && "scalable vectors not yet supported.");
   if (!blockNeedsPredication(I->getParent()))
     return false;
   switch(I->getOpcode()) {
@@ -6063,7 +6059,6 @@
 
 LoopVectorizationCostModel::VectorizationCostTy
 LoopVectorizationCostModel::expectedCost(ElementCount VF) {
-  assert(!VF.isScalable() && "scalable vectors not yet supported.");
   VectorizationCostTy Cost;
 
   // For each block.
@@ -7297,7 +7292,6 @@
          "Must be called with either a load or store");
 
   auto willWiden = [&](ElementCount VF) -> bool {
-    assert(!VF.isScalable() && "unexpected scalable ElementCount");
     if (VF.isScalar())
       return false;
     LoopVectorizationCostModel::InstWidening Decision =


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