[mlir][sve][nfc] Update a test to use transform-interpreter (llvm#73771)

This is a follow-up of llvm#70040 in which the test updated here was missed.

Includes a few additional NFC changes in preparation for extending this
test.

Author: banach-space

mlir/test/Integration/Dialect/Linalg/CPU/ArmSVE/matmul.mlir

@@ -1,8 +1,14 @@
-// RUN: mlir-opt %s -test-transform-dialect-interpreter -test-transform-dialect-erase-schedule \
-// RUN:   -one-shot-bufferize -func-bufferize -cse -canonicalize -convert-vector-to-scf -arm-sve-legalize-vector-storage \
-// RUN:   -convert-vector-to-llvm="enable-arm-sve" -test-lower-to-llvm | \
-// RUN: %mcr_aarch64_cmd -e=matmul_f32 -entry-point-result=void --march=aarch64 --mattr="+sve" -shared-libs=%mlir_runner_utils,%mlir_c_runner_utils | \
-// RUN: FileCheck %s
+// DEFINE: %{compile} =  mlir-opt %s \
+// DEFINE:    -transform-interpreter -test-transform-dialect-erase-schedule \
+// DEFINE:    -one-shot-bufferize -func-bufferize -cse -canonicalize -convert-vector-to-scf -arm-sve-legalize-vector-storage \
+// DEFINE:    -convert-vector-to-llvm="enable-arm-sve" -test-lower-to-llvm -o %t
+// DEFINE: %{entry_point} = matmul_f32
+// DEFINE: %{run} = %mcr_aarch64_cmd %t -e %{entry_point} -entry-point-result=void --march=aarch64 --mattr="+sve"\
+// DEFINE:    -shared-libs=%mlir_runner_utils,%mlir_c_runner_utils
+
+// RUN: %{compile}
+
+// RUN: %{run} | FileCheck %s
 
 func.func @matmul_f32() {
   // Matrix dimensions
@@ -40,29 +46,37 @@ func.func @matmul_f32() {
   return
 }
 
-transform.sequence failures(propagate) {
-^bb1(%module_op: !transform.any_op):
-  // Step 1: Tile
-  %matmul = transform.structured.match ops{["linalg.matmul"]} in %module_op : (!transform.any_op) -> !transform.any_op
-  %func_op = get_parent_op %matmul : (!transform.any_op) -> !transform.op<"func.func">
-  %module_with_tiled_loops, %loops:3 = transform.structured.tile_using_for %matmul [2, [4], 1] : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
-
-  // Step 2: Vectorize
-  %tiled_matmul = transform.structured.match ops{["linalg.matmul"]} in %module_with_tiled_loops : (!transform.any_op) -> !transform.any_op
-  transform.structured.vectorize %tiled_matmul vector_sizes [2, [4], 1] : !transform.any_op
-
-  // Step 3: Lower vector.multi_reduction to vector.contract (+ some helpful patterns)
-  transform.apply_patterns to %func_op {
-    transform.apply_patterns.vector.reduction_to_contract
-    transform.apply_patterns.vector.transfer_permutation_patterns
-    transform.apply_patterns.vector.lower_masked_transfers
-  } : !transform.op<"func.func">
-
-  // Step 4: Lower vector.contract to vector.fma
-  transform.apply_patterns to %func_op {
-    transform.apply_patterns.vector.lower_contraction lowering_strategy = "outerproduct"
-    transform.apply_patterns.vector.lower_outerproduct
-  } : !transform.op<"func.func">
+module attributes {transform.with_named_sequence} {
+transform.named_sequence @__transform_main(%module: !transform.any_op {transform.readonly}) {
+    %matmul = transform.structured.match ops{["linalg.matmul"]} in %module
+      : (!transform.any_op) -> !transform.any_op
+
+    // Step 1: Tile
+    %module_with_tiled_loops, %loops:3 = transform.structured.tile_using_for %matmul [2, [4], 1]
+      : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
+
+    // Step 2: Vectorize
+    %tiled_matmul = transform.structured.match ops{["linalg.matmul"]} in %module_with_tiled_loops
+      : (!transform.any_op) -> !transform.any_op
+    transform.structured.vectorize %tiled_matmul vector_sizes [2, [4], 1] : !transform.any_op
+
+    // Step 3: Lower vector.multi_reduction to vector.contract (+ some helpful patterns)
+    %func = transform.structured.match ops{["func.func"]} in %module
+      : (!transform.any_op) -> !transform.op<"func.func">
+    transform.apply_patterns to %func {
+      transform.apply_patterns.vector.reduction_to_contract
+      transform.apply_patterns.vector.transfer_permutation_patterns
+      transform.apply_patterns.vector.lower_masked_transfers
+    } : !transform.op<"func.func">
+
+    // Step 4: Lower vector.contract to vector.fma
+    transform.apply_patterns to %func {
+      transform.apply_patterns.vector.lower_contraction lowering_strategy = "outerproduct"
+      transform.apply_patterns.vector.lower_outerproduct
+    } : !transform.op<"func.func">
+
+    transform.yield
+  }
 }
 
 func.func private @printMemrefF32(%ptr : tensor<*xf32>)