llvm/mlir/test/Dialect/Linalg/transform-op-compose-masked-vectorize-and-cleanups.mlir

// RUN: mlir-opt %s -transform-interpreter -split-input-file | FileCheck %s

//      CHECK-LABEL: masked_matmul
func.func @masked_matmul(%module: memref<?x?xf32>, %arg1: memref<?x?xf32>, %arg2: memref<?x?xf32>) {

  //      CHECK: %[[MLHS:.*]] = vector.create_mask {{.*}} : vector<8x8xi1>
  //      CHECK: %[[LHS:.*]] = vector.transfer_read %{{.*}}, %[[MLHS]] {in_bounds = [true, true]} : memref<?x?xf32, strided<[?, 1], offset: ?>>, vector<8x8xf32>
  //      CHECK: %[[MRHS:.*]] = vector.create_mask {{.*}} : vector<8x8xi1>
  //      CHECK: %[[RHS:.*]] = vector.transfer_read %{{.*}}, %[[MRHS]] {in_bounds = [true, true]} : memref<?x?xf32, strided<[?, 1], offset: ?>>, vector<8x8xf32>
  //      CHECK: %[[MACC:.*]] = vector.create_mask {{.*}} : vector<8x8xi1>
  //      CHECK: %[[ACC:.*]] = vector.transfer_read {{.*}}, %[[MACC]] {in_bounds = [true, true]} : memref<?x?xf32, strided<[?, 1], offset: ?>>, vector<8x8xf32>
  //      CHECK: %[[MRES:.*]] = vector.create_mask {{.*}} : vector<8x8x8xi1>
  //      CHECK: %[[RES:.*]] = vector.mask %[[MRES]] { vector.contract
  // CHECK-SAME:   : vector<8x8xf32>, vector<8x8xf32> into vector<8x8xf32>
  // CHECK-SAME:   : vector<8x8x8xi1> -> vector<8x8xf32>
  //      CHECK: vector.transfer_write %[[RES]], %{{.*}}, %[[MACC]] {in_bounds = [true, true]} : vector<8x8xf32>, memref<?x?xf32, strided<[?, 1], offset: ?>>
  linalg.matmul ins(%module, %arg1 : memref<?x?xf32>, memref<?x?xf32>) outs(%arg2 : memref<?x?xf32>)
  return
}

module attributes {transform.with_named_sequence} {
  transform.named_sequence @__transform_main(%module: !transform.any_op {transform.readonly}) {
    %0 = transform.structured.match ops{["linalg.matmul"]} in %module
      : (!transform.any_op) -> !transform.any_op
    %tiled_linalg_op, %loops:3 = transform.structured.tile_using_for %0 tile_sizes [64, 128, 256]
      : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
    %tiled_linalg_op_0, %loops_1:3 = transform.structured.tile_using_for %tiled_linalg_op tile_sizes [8, 8, 8]
      : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op, !transform.any_op)
    transform.structured.vectorize %tiled_linalg_op_0 vector_sizes [8, 8, 8]
      : !transform.any_op

    %func = transform.structured.match ops{["func.func"]} in %module
      : (!transform.any_op) -> !transform.any_op
    transform.apply_patterns to %func {
      transform.apply_patterns.vector.lower_masked_transfers
      transform.apply_patterns.vector.transfer_permutation_patterns
      transform.apply_patterns.vector.reduction_to_contract
    } : !transform.any_op
    transform.yield
  }
}