[Mlir-commits] [mlir] [mlir] [linalg] Fold broadcast/transpose into linalg.generic (PR #212415)
Renato Golin
llvmlistbot at llvm.org
Tue Jul 28 01:30:18 PDT 2026
================
@@ -81,6 +85,46 @@ struct FoldIntoElementwisePattern : public OpRewritePattern<ElementwiseOp> {
}
};
+template <typename... ProducerOps>
+struct FoldIntoGenericPattern : public OpRewritePattern<GenericOp> {
+ using OpRewritePattern<GenericOp>::OpRewritePattern;
+
+ LogicalResult matchAndRewrite(GenericOp op,
+ PatternRewriter &rewriter) const override {
+ // Restrict this pattern to elementwise-like generic ops.
+ // It may be safe to do so reduction dimensions in some cases. But we try
+ // to focus on simple cases here.
+ if (!op.isAllParallelLoops())
+ return failure();
+
+ SmallVector<Value> newIns;
+ SmallVector<AffineMap> newMaps;
+ if (!foldInputOperands<GenericOp, ProducerOps...>(op, newIns, newMaps))
+ return failure();
+
+ // Keep all output operands and their maps unchanged. The body is cloned
+ // so that the block arguments continue to correspond to the new operand
+ // list.
+ SmallVector<AffineMap> allMaps = op.getIndexingMapsArray();
+ newMaps.append(allMaps.begin() + op.getNumDpsInputs(), allMaps.end());
----------------
rengolin wrote:
Why append _again_ the list that `foldInputOperands` just populated?
https://github.com/llvm/llvm-project/pull/212415
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