[Mlir-commits] [mlir] [mlir][linalg] convert arith ops to destination-passing-style. (PR #157854)

[Javed Absar]

================
@@ -252,3 +252,64 @@ module attributes {transform.with_named_sequence} {
       transform.yield
   }
 }
+
+// -----
+
+// CHECK: #[[$map:.*]] = affine_map<(d0) -> (d0)>
+// CHECK-LABEL: func @arith_unary_op(
+//  CHECK-SAME:   %[[X:.+]]: tensor<64xi32>) ->  tensor<64xf32> {
+//       CHECK:   %[[EMPTY:.+]] = tensor.empty() : tensor<64xf32>
+//       CHECK:   %[[GENERIC:.+]] = linalg.generic
+//  CHECK-SAME:       {indexing_maps = [#[[$map]], #[[$map]]], iterator_types = ["parallel"]}
+//  CHECK-SAME:       ins(%[[X:.+]] : tensor<64xi32>) outs(%[[EMPTY]] : tensor<64xf32>) {
+//       CHECK:     ^bb0(%[[x:.+]]: i32, %[[Out:.+]]: f32):
+//       CHECK:        %[[z:.+]] = arith.uitofp %[[x]] : i32 to f32
+//       CHECK:        linalg.yield %[[z]] : f32
+//       CHECK:  return %[[GENERIC]] : tensor<64xf32>
+
+func.func @arith_unary_op(%x : tensor<64xi32>) -> tensor<64xf32> {
+  %z = arith.uitofp %x : tensor<64xi32> to tensor<64xf32>
+  return %z : tensor<64xf32>
+}
+
+module attributes {transform.with_named_sequence} {
+  transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
+    %0 = transform.structured.match ops{["arith.uitofp"]} in %arg1
+      : (!transform.any_op) -> !transform.any_op
+    transform.structured.rewrite_in_destination_passing_style %0
+      : (!transform.any_op) -> !transform.any_op
+      transform.yield
+  }
+}
+
+// -----
+
+// CHECK: #[[$map:.*]] = affine_map<(d0) -> (d0)>
+// CHECK-LABEL: func @arith_binop(
+//  CHECK-SAME:   %[[X:.+]]: tensor<?xf32>,  %[[Y:.+]]: tensor<?xf32>
+//       CHECK:   %[[C0:.+]] = arith.constant 0 : index
+//       CHECK:   %[[DIM:.+]] = tensor.dim %[[X]], %[[C0]] : tensor<?xf32>
+//       CHECK:   %[[EMPTY:.+]] = tensor.empty(%[[DIM]]) : tensor<?xf32>
+//       CHECK:   %[[GENERIC:.+]] = linalg.generic
+//  CHECK-SAME:       {indexing_maps = [#[[$map]], #[[$map]], #[[$map]]], iterator_types = ["parallel"]}
+//  CHECK-SAME:       ins(%[[X:.+]], %[[Y:.+]] : tensor<?xf32>, tensor<?xf32>) outs(%[[EMPTY]] : tensor<?xf32>) {
+//       CHECK:     ^bb0(%[[x:.+]]: f32, %[[y:.+]]: f32, %[[Out:.+]]: f32):
+//       CHECK:        %[[z:.+]] = arith.addf %[[x]], %[[y]] : f32
+//       CHECK:        linalg.yield %[[z]] : f32
+//       CHECK:  return %[[GENERIC]] : tensor<?xf32>
+
+func.func @arith_binop(%x : tensor<?xf32>, %y : tensor<?xf32>)
+    -> tensor<?xf32> {
+  %z = arith.addf %x, %y : tensor<?xf32>
+  return %z : tensor<?xf32>
+}
+
+module attributes {transform.with_named_sequence} {
+  transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
+    %0 = transform.structured.match ops{["arith.addf"]} in %arg1
+      : (!transform.any_op) -> !transform.any_op
+    transform.structured.rewrite_in_destination_passing_style %0
+      : (!transform.any_op) -> !transform.any_op
+      transform.yield
+  }
+}
----------------
javedabsar1 wrote:

Thanks for pointing out. Missed it completely . Added now.

https://github.com/llvm/llvm-project/pull/157854