[Mlir-commits] [mlir] [mlir][vector]add foldConstantOp fold function and apply it to extractOp and insertOp. (PR #124399)
Kunwar Grover
llvmlistbot at llvm.org
Sat Jan 25 03:27:11 PST 2025
================
@@ -1977,6 +1977,46 @@ static Value foldScalarExtractFromFromElements(ExtractOp extractOp) {
return fromElementsOp.getElements()[flatIndex];
}
+// If the dynamic operands of `extractOp` or `insertOp` is result of
+// `constantOp`, then fold it.
+template <typename T>
+static void foldConstantOp(T op, SmallVectorImpl<Value> &operands) {
+ auto staticPosition = op.getStaticPosition().vec();
+ OperandRange dynamicPosition = op.getDynamicPosition();
+
+ // If the dynamic operands is empty, it is returned directly.
+ if (!dynamicPosition.size())
+ return;
+ unsigned index = 0;
+
+ // `opChange` is a flog. If it is true, it means to update `op` in place.
+ bool opChange = false;
+ for (unsigned i = 0, e = staticPosition.size(); i < e; ++i) {
+ if (!ShapedType::isDynamic(staticPosition[i]))
+ continue;
+ Value position = dynamicPosition[index++];
+
+ // If it is a block parameter, proceed to the next iteration.
+ if (!position.getDefiningOp()) {
+ operands.push_back(position);
+ continue;
+ }
+
+ if (auto constantOp =
+ mlir::dyn_cast<arith::ConstantIndexOp>(position.getDefiningOp())) {
+ opChange = true;
+ staticPosition[i] = constantOp.value();
+ continue;
+ }
+ operands.push_back(position);
+ }
+
+ if (opChange) {
+ op.setStaticPosition(staticPosition);
+ op.getOperation()->setOperands(operands);
+ }
----------------
Groverkss wrote:
Can we actually do this? My understanding is that if there is a static position set, there should be no operand passed. This is creating an inconsistent state as can be seen in the test.
I don't think you can represent this "folding" with a fold pattern. Fold pattern cannot change the operation. Removing a operand changes the operation storage (no more storage for the operand), so you have to make this a canonicalization, instead of a fold. https://mlir.llvm.org/docs/Canonicalization/#canonicalizing-with-the-fold-method
https://github.com/llvm/llvm-project/pull/124399
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