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// 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
}
}
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