xref: /llvm-project/mlir/test/Dialect/Linalg/detensorize_trivial.mlir (revision 13bd41096286305ee603428f6adf161f52981827)
1// RUN: mlir-opt %s -pass-pipeline="builtin.module(func.func(linalg-detensorize{aggressive-mode}))" | FileCheck %s -check-prefix=DET-ALL
2// RUN: mlir-opt %s -pass-pipeline="builtin.module(func.func(linalg-detensorize))" | FileCheck %s -check-prefix=DET-CF
3
4
5#map0 = affine_map<() -> ()>
6
7#attrs = {
8  indexing_maps = [#map0, #map0, #map0],
9  iterator_types = []
10}
11
12func.func @main(%farg0 : tensor<i32>) -> (tensor<i1>) attributes {} {
13  %c10 = arith.constant 10 : i32
14  %1 = tensor.from_elements %c10 : tensor<i32>
15  %3 = tensor.empty() : tensor<i1>
16  %4 = linalg.generic #attrs
17    ins(%farg0, %1 : tensor<i32>, tensor<i32>)
18    outs(%3 : tensor<i1>) {
19    ^bb0(%arg0: i32, %arg1: i32, %arg2: i1):
20      %8 = arith.cmpi slt, %arg0, %arg1 : i32
21      linalg.yield %8 : i1
22  } -> tensor<i1>
23  return %4 : tensor<i1>
24}
25
26
27// DET-ALL-LABEL: func @main(%{{.*}}: tensor<i32>)
28// DET-ALL-NEXT:    arith.constant 10
29// DET-ALL-NEXT:    tensor.extract %{{.*}}[]
30// DET-ALL-NEXT:    arith.cmpi slt, %{{.*}}, %{{.*}}
31// DET-ALL-NEXT:    tensor.from_elements %{{.*}}
32// DET-ALL-NEXT:    return %{{.*}} : tensor<i1>
33// DET-ALL-NEXT:  }
34
35// DET-CF-LABEL: func @main(%{{.*}}: tensor<i32>)
36// DET-CF-NEXT:    arith.constant dense<10> : tensor<i32>
37// DET-CF-NEXT:    tensor.empty() : tensor<i1>
38// DET-CF-NEXT:    linalg.generic
39// DET-CF-NEXT:    ^{{.*}}(%{{.*}}: i32, %{{.*}}: i32, %{{.*}}: i1)
40// DET-CF-NEXT:      arith.cmpi slt, %{{.*}}, %{{.*}}
41// DET-CF-NEXT:      linalg.yield %{{.*}}
42// DET-CF-NEXT:    } -> tensor<i1>
43// DET-CF-NEXT:    return %{{.*}}
44// DET-CF-NEXT:  }
45