================
@@ -1579,6 +1579,108 @@ OpFoldResult cir::VecExtractOp::fold(FoldAdaptor
adaptor) {
return elements[index];
}
+//===----------------------------------------------------------------------===//
+// VecCmpOp
+//===----------------------------------------------------------------------===//
+
+OpFoldResult cir::VecCmpOp::fold(FoldAdaptor adaptor) {
+ mlir::Attribute lhs = adaptor.getLhs();
+ mlir::Attribute rhs = adaptor.getRhs();
+ if (!mlir::isa_and_nonnull<cir::ConstVectorAttr>(lhs) ||
+ !mlir::isa_and_nonnull<cir::ConstVectorAttr>(rhs))
+ return {};
+
+ auto lhsVecAttr = mlir::cast<cir::ConstVectorAttr>(lhs);
+ auto rhsVecAttr = mlir::cast<cir::ConstVectorAttr>(rhs);
+
+ mlir::Type inputElemTy =
+ mlir::cast<cir::VectorType>(lhsVecAttr.getType()).getElementType();
+ if (!isAnyIntegerOrFloatingPointType(inputElemTy))
+ return {};
+
+ cir::CmpOpKind opKind = adaptor.getKind();
+ mlir::ArrayAttr lhsVecElhs = lhsVecAttr.getElts();
+ mlir::ArrayAttr rhsVecElhs = rhsVecAttr.getElts();
+ uint64_t vecSize = lhsVecElhs.size();
+
+ auto resultVecTy = mlir::cast<cir::VectorType>(getType());
+
+ SmallVector<mlir::Attribute, 16> elements(vecSize);
+ for (uint64_t i = 0; i < vecSize; i++) {
+ mlir::Attribute lhsAttr = lhsVecElhs[i];
+ mlir::Attribute rhsAttr = rhsVecElhs[i];
+
----------------
AmrDeveloper wrote:
I eliminated the check to be only once. I was thinking of eliminating the casts
and creating a lambda or helper function, but not sure if it's worth
https://github.com/llvm/llvm-project/pull/143322
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