[Mlir-commits] [mlir] [MLIR][Shape] Support >2 args in `shape.broadcast` folder (PR #126808)
Jacques Pienaar
llvmlistbot at llvm.org
Wed Feb 19 06:00:19 PST 2025
================
@@ -649,24 +649,34 @@ OpFoldResult BroadcastOp::fold(FoldAdaptor adaptor) {
return getShapes().front();
}
- // TODO: Support folding with more than 2 input shapes
- if (getShapes().size() > 2)
+ if (!adaptor.getShapes().front())
return nullptr;
- if (!adaptor.getShapes()[0] || !adaptor.getShapes()[1])
- return nullptr;
- auto lhsShape = llvm::to_vector<6>(
- llvm::cast<DenseIntElementsAttr>(adaptor.getShapes()[0])
- .getValues<int64_t>());
- auto rhsShape = llvm::to_vector<6>(
- llvm::cast<DenseIntElementsAttr>(adaptor.getShapes()[1])
+ auto firstShape = llvm::to_vector<6>(
+ llvm::cast<DenseIntElementsAttr>(adaptor.getShapes().front())
.getValues<int64_t>());
+
SmallVector<int64_t, 6> resultShape;
+ resultShape.clear();
+ std::copy(firstShape.begin(), firstShape.end(),
----------------
jpienaar wrote:
Why is firstShape needed vs directly initializing resultShape?
https://github.com/llvm/llvm-project/pull/126808
More information about the Mlir-commits
mailing list