// RUN: mlir-opt %s -test-linalg-transform-patterns=test-patterns -split-input-file | FileCheck %s // CHECK-DAG: #[[$STRIDED_1D:.*]] = affine_map<(d0)[s0] -> (d0 + s0)> // Map corresponding to a 2D memory access where the stride along the last dim is known to be 1. // CHECK-DAG: #[[$STRIDED_2D_u_1:.*]] = affine_map<(d0, d1)[s0, s1] -> (d0 * s1 + s0 + d1)> // CHECK-DAG: #[[$kn:.*]] = affine_map<(d0, d1, d2) -> (d2, d1)> // CHECK-DAG: #[[$nm:.*]] = affine_map<(d0, d1, d2) -> (d1, d0)> // CHECK-DAG: #[[$km:.*]] = affine_map<(d0, d1, d2) -> (d2, d0)> func.func @dot(%x: memref, %y: memref, %v: memref) { linalg.dot { __internal_linalg_transform__ = "MEM" } ins(%x, %y: memref, memref) outs(%v: memref) return } // CHECK-LABEL: func @dot // CHECK-DAG: %[[c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[c1:.*]] = arith.constant 1 : index // CHECK-DAG: %[[c8000:.*]] = arith.constant 8000 : index // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c8000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c1]] { // CHECK: load // CHECK: load // CHECK: load // CHECK: arith.mulf // CHECK: arith.addf // CHECK: store func.func @matvec(%A: memref, %x: memref, %y: memref) { linalg.matvec ins(%A, %x: memref, memref) outs(%y: memref) return } // CHECK-LABEL: func @matvec // CHECK-DAG: %[[c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[c5:.*]] = arith.constant 5 : index // CHECK-DAG: %[[c6:.*]] = arith.constant 6 : index // CHECK: scf.parallel {{.*}} step (%[[c5]]) // CHECK: scf.for {{.*}} step %[[c6]] // CHECK: linalg.matvec // CHECK: ins({{.*}}: memref, memref) // CHECK: outs({{.*}}: memref) func.func @matmul(%A: memref, %B: memref, %C: memref) { linalg.matmul { __internal_linalg_transform__ = "MEM" } ins(%A, %B: memref, memref) outs(%C: memref) return } // CHECK-LABEL: func @matmul // CHECK-DAG: %[[c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[c2:.*]] = arith.constant 2 : index // CHECK-DAG: %[[c3:.*]] = arith.constant 3 : index // CHECK-DAG: %[[c4:.*]] = arith.constant 4 : index // CHECK-DAG: %[[c20:.*]] = arith.constant 20 : index // CHECK-DAG: %[[c30:.*]] = arith.constant 30 : index // CHECK-DAG: %[[c40:.*]] = arith.constant 40 : index // CHECK-DAG: %[[c200:.*]] = arith.constant 200 : index // CHECK-DAG: %[[c300:.*]] = arith.constant 300 : index // CHECK-DAG: %[[c400:.*]] = arith.constant 400 : index // CHECK-DAG: %[[c2000:.*]] = arith.constant 2000 : index // CHECK-DAG: %[[c3000:.*]] = arith.constant 3000 : index // CHECK-DAG: %[[c4000:.*]] = arith.constant 4000 : index // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c2000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c3000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c4000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c200]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c300]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c400]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c20]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c30]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c40]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c2]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c3]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c4]] { // CHECK: linalg.matmul // CHECK: ins({{.*}}: memref, memref) // CHECK: outs({{.*}}: memref) #matmul_accesses = [ affine_map<(m, n, k) -> (m, k)>, affine_map<(m, n, k) -> (k, n)>, affine_map<(m, n, k) -> (m, n)> ] #generic_matmul_trait = { args_in = 2, args_out = 1, indexing_maps = #matmul_accesses, library_call = "linalg_matmul", iterator_types = ["parallel", "parallel", "reduction"] } func.func @permute_generic(%A: memref, %B: memref, %C: memref) { linalg.generic #generic_matmul_trait ins(%A, %B : memref, memref) outs(%C : memref) { ^bb(%a: f32, %b: f32, %c: f32): %d = arith.mulf %a, %b: f32 %e = arith.addf %c, %d: f32 linalg.yield %e: f32 } return } // CHECK-LABEL: func @permute_generic // CHECK: linalg.generic { // CHECK-SAME: indexing_maps = [#[[$kn]], #[[$nm]], #[[$km]]], // CHECK-SAME: iterator_types = ["parallel", "reduction", "parallel"], // CHECK-SAME: library_call = "linalg_matmul"} // CHECK: memref, // CHECK-SAME: memref // CHECK-SAME: memref func.func @matvec_perm(%A: memref, %x: memref, %y: memref) { linalg.matvec {__internal_linalg_transform__ = "__with_perm__"} ins(%A, %x: memref, memref) outs(%y: memref) return } // CHECK-LABEL: func @matvec_perm // CHECK-DAG: %[[c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[c5:.*]] = arith.constant 5 : index // CHECK-DAG: %[[c6:.*]] = arith.constant 6 : index // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c6]] // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c5]] // CHECK: linalg.matvec // CHECK: ins({{.*}}: memref, memref) // CHECK: outs({{.*}}: memref) func.func @matmul_perm(%A: memref, %B: memref, %C: memref) { linalg.matmul {__internal_linalg_transform__ = "__with_perm__"} ins(%A, %B: memref, memref) outs(%C : memref) return } // CHECK-LABEL: func @matmul_perm // CHECK-DAG: %[[c0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[c20:.*]] = arith.constant 20 : index // CHECK-DAG: %[[c30:.*]] = arith.constant 30 : index // CHECK-DAG: %[[c40:.*]] = arith.constant 40 : index // CHECK-DAG: %[[c200:.*]] = arith.constant 200 : index // CHECK-DAG: %[[c300:.*]] = arith.constant 300 : index // CHECK-DAG: %[[c400:.*]] = arith.constant 400 : index // CHECK-DAG: %[[c2000:.*]] = arith.constant 2000 : index // CHECK-DAG: %[[c3000:.*]] = arith.constant 3000 : index // CHECK-DAG: %[[c4000:.*]] = arith.constant 4000 : index // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c3000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c4000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c2000]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c300]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c200]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c400]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c20]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c30]] { // CHECK: scf.for {{.*}} = %[[c0]] to {{.*}} step %[[c40]] { // CHECK: linalg.matmul // CHECK: ins({{.*}}: memref, memref) // CHECK: outs({{.*}}: memref) func.func @tile_permute_parallel_loop(%arg0: memref, %arg1: memref, %arg2: memref) { linalg.matmul {__internal_linalg_transform__ = "par__with_perm__"} ins(%arg0, %arg1: memref, memref) outs(%arg2: memref) return } // CHECK-LABEL: func @tile_permute_parallel_loop // CHECK-SAME: %[[ARG0:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]]: memref // CHECK-SAME: %[[ARG2:[a-zA-Z0-9_]+]]: memref // CHECK-DAG: %[[C16:.*]] = arith.constant 16 : index // CHECK-DAG: %[[C8:.*]] = arith.constant 8 : index // CHECK-DAG: %[[C4:.*]] = arith.constant 4 : index // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index // CHECK-DAG: %[[D0:.*]] = memref.dim %[[ARG0]], %c0 // CHECK-DAG: %[[D1:.*]] = memref.dim %[[ARG0]], %c1 // CHECK-DAG: %[[D2:.*]] = memref.dim %[[ARG1]], %c1 // CHECK: scf.parallel (%{{.*}}) = (%[[C0]]) to (%[[D2]]) step (%[[C8]]) // CHECK: scf.for %{{.*}} = %[[C0]] to %[[D1]] step %[[C4]] // CHECK: scf.parallel (%{{.*}}) = (%[[C0]]) to (%[[D0]]) step (%[[C16]])