[Mlir-commits] [mlir] [mlir][linalg] Extend `FuseElementwiseOps` pattern to work with named ops (PR #144922)

[llvmlistbot at llvm.org]

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@@ -59,3 +59,57 @@ func.func @handle_unused_operands(%arg0: tensor<8xf32>, %arg1: tensor<8xf32>) ->
 //       CHECK:   %[[FUSED_OP:.+]] = linalg.generic
 //  CHECK-SAME:       outs(%[[EMPTY]] :
 //   CHECK-NOT:   linalg.generic
+
+// -----
+
+func.func @map_ops(%in1: tensor<8xf32>, %in2: tensor<8xf32>) -> tensor<8xf32> {
+    %fill = tensor.empty() : tensor<8xf32>
+    %add = linalg.map {arith.addf} ins(%in1, %in2: tensor<8xf32>, tensor<8xf32>) outs(%fill: tensor<8xf32>)
+    %mapped_65 = linalg.map { math.sqrt } ins(%add : tensor<8xf32>) outs(%fill : tensor<8xf32>)
+    return %mapped_65 : tensor<8xf32>
+}
+
+// CHECK-LABEL: func @map_ops
+//  CHECK-SAME:   %[[ARG0:[a-zA-Z0-9]+]]: tensor<8xf32>
+//  CHECK-SAME:   %[[ARG1:[a-zA-Z0-9]+]]: tensor<8xf32>
+//       CHECK:   %[[EMPTY:.+]] = tensor.empty() : tensor<8xf32>
+//       CHECK:   %[[FUSED_OP:.+]] = linalg.generic
----------------
srcarroll wrote:

Yah I mentioned in a comment that I wanted to try to do that, but don't know of a clean way to do that yet. I've done something like that before by just using `clone` and modifying as a way to generalizing a transform from a named op to that same named op. It seems more complicated here, but maybe not

https://github.com/llvm/llvm-project/pull/144922