72 lines · plain
1// RUN: mlir-opt %s -pass-pipeline="builtin.module(func.func(linalg-detensorize{aggressive-mode}))" | FileCheck %s -check-prefix=DET-ALL2// RUN: mlir-opt %s -pass-pipeline="builtin.module(func.func(linalg-detensorize))" | FileCheck %s -check-prefix=DET-CF3 4#map0 = affine_map<() -> ()>5 6#attrs = {7 indexing_maps = [#map0, #map0, #map0],8 iterator_types = []9}10 11func.func @main(%farg0: tensor<i32>, %farg1: tensor<i32>) -> tensor<i32> attributes {} {12 cf.br ^bb1(%farg0 : tensor<i32>)13 14^bb1(%0: tensor<i32>): // 2 preds: ^bb0, ^bb215 %1 = tensor.empty() : tensor<i1>16 %2 = linalg.generic #attrs17 ins(%0, %farg1 : tensor<i32>, tensor<i32>)18 outs(%1 : tensor<i1>) {19 ^bb0(%arg0: i32, %arg1: i32, %arg2: i1):20 %8 = arith.cmpi slt, %arg0, %arg1 : i3221 linalg.yield %8 : i122 } -> tensor<i1>23 %3 = tensor.extract %2[] : tensor<i1>24 cf.cond_br %3, ^bb2(%0 : tensor<i32>), ^bb3(%0 : tensor<i32>)25 26^bb2(%4: tensor<i32>): // pred: ^bb127 %5 = tensor.empty() : tensor<i32>28 %6 = linalg.generic #attrs29 ins(%4, %4 : tensor<i32>, tensor<i32>)30 outs(%5 : tensor<i32>) {31 ^bb0(%arg0: i32, %arg1: i32, %arg2: i32):32 %8 = arith.addi %arg0, %arg1 : i3233 linalg.yield %8 : i3234 } -> tensor<i32>35 cf.br ^bb1(%6 : tensor<i32>)36 37^bb3(%7: tensor<i32>): // pred: ^bb138 return %7 : tensor<i32>39}40 41// Test aggresively detensoring all detensorable ops.42//43// DET-ALL-LABEL: func @main44// DET-ALL-SAME: (%{{.*}}: tensor<i32>, %{{.*}}: tensor<i32>)45// DET-ALL: tensor.extract {{.*}}46// DET-ALL: cf.br ^[[bb1:.*]](%{{.*}} : i32)47// DET-ALL: ^[[bb1]](%{{.*}}: i32)48// DET-ALL: arith.cmpi slt, {{.*}}49// DET-ALL: cf.cond_br {{.*}}, ^[[bb2:.*]], ^[[bb3:.*]]50// DET-ALL: ^[[bb2]]51// DET-ALL: arith.addi {{.*}}52// DET-ALL: cf.br ^[[bb1]](%{{.*}} : i32)53// DET-ALL: ^[[bb3]]:54// DET-ALL: tensor.from_elements {{.*}}55// DET-ALL: return %{{.*}} : tensor<i32>56 57// Test detensoring only ops involed in control-flow.58//59// DET-CF-LABEL: func @main60// DET-CF-SAME: (%{{.*}}: tensor<i32>, %{{.*}}: tensor<i32>)61// DET-CF: tensor.extract {{.*}}62// DET-CF: cf.br ^[[bb1:.*]](%{{.*}} : i32)63// DET-CF: ^[[bb1]](%{{.*}}: i32)64// DET-CF: arith.cmpi slt, {{.*}}65// DET-CF: cf.cond_br {{.*}}, ^[[bb2:.*]], ^[[bb3:.*]]66// DET-CF: ^[[bb2]]:67// DET-CF: arith.addi {{.*}}68// DET-CF: cf.br ^[[bb1]](%{{.*}} : i32)69// DET-CF: ^[[bb3]]:70// DET-CF: tensor.from_elements %{{.*}} : tensor<i32>71// DET-CF: return %{{.*}} : tensor<i32>72