[Mlir-commits] [mlir] [mlir][transform] Implement `FlattenElementwiseLinalgOp` transform op (PR #81431)

[llvmlistbot at llvm.org]

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@@ -1479,40 +1475,40 @@ Operation *createCollapsedOp(LinalgType op,
       resultTypes.push_back(newOutput.getType());
   }
 
-  if (isa<linalg::CopyOp>(op)) {
-    return rewriter.create<linalg::CopyOp>(loc, inputOperands[0],
-                                           outputOperands[0]);
-  }
-
-  // Get the iterator types for the operand.
-  SmallVector<utils::IteratorType> iteratorTypes =
-      getCollapsedOpIteratorTypes(op.getIteratorTypesArray(), collapsingInfo);
+  Operation *collapsedOp = clone(
+      rewriter, op, resultTypes,
+      llvm::to_vector(llvm::concat<Value>(inputOperands, outputOperands)));
+
+  // TODO: Find a more general way to determine if op requires explicit
+  // indexing_maps and iterator_types
+  if (isa<linalg::GenericOp>(op)) {
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srcarroll wrote:

Not a bad idea. Id have to see what it looks like to understand the implications fully but I sense that it might be too demanding to require all ops to implement that.  Would this work for the ops generated from `core_named_ops.py` (can't remember the exact file name right now)?

https://github.com/llvm/llvm-project/pull/81431