blob: 83811b3caf23a7aac0f4906076f982a5f44e7c57 [file] [log] [blame]
// RUN: mlir-opt %s -linalg-detensorize=aggressive-mode | FileCheck %s -check-prefix=DET-ALL
// RUN: mlir-opt %s -linalg-detensorize | FileCheck %s -check-prefix=DET-CF
#map0 = affine_map<() -> ()>
#attrs = {
indexing_maps = [#map0, #map0, #map0],
iterator_types = []
}
func @main(%farg0: tensor<i32>, %farg1: tensor<i32>) -> tensor<i32> attributes {} {
br ^bb1(%farg0 : tensor<i32>)
^bb1(%0: tensor<i32>): // 2 preds: ^bb0, ^bb2
%1 = linalg.init_tensor [] : tensor<i1>
%2 = linalg.generic #attrs
ins(%0, %farg1 : tensor<i32>, tensor<i32>)
outs(%1 : tensor<i1>) {
^bb0(%arg0: i32, %arg1: i32, %arg2: i1): // no predecessors
%8 = arith.cmpi slt, %arg0, %arg1 : i32
linalg.yield %8 : i1
} -> tensor<i1>
%3 = tensor.extract %2[] : tensor<i1>
cond_br %3, ^bb2(%0 : tensor<i32>), ^bb3(%0 : tensor<i32>)
^bb2(%4: tensor<i32>): // pred: ^bb1
%5 = linalg.init_tensor [] : tensor<i32>
%6 = linalg.generic #attrs
ins(%4, %4 : tensor<i32>, tensor<i32>)
outs(%5 : tensor<i32>) {
^bb0(%arg0: i32, %arg1: i32, %arg2: i32): // no predecessors
%8 = arith.addi %arg0, %arg1 : i32
linalg.yield %8 : i32
} -> tensor<i32>
br ^bb1(%6 : tensor<i32>)
^bb3(%7: tensor<i32>): // pred: ^bb1
return %7 : tensor<i32>
}
// Test aggresively detensoring all detensorable ops.
//
// DET-ALL-LABEL: func @main
// DET-ALL-SAME: (%{{.*}}: tensor<i32>, %{{.*}}: tensor<i32>)
// DET-ALL: tensor.extract {{.*}}
// DET-ALL: br ^[[bb1:.*]](%{{.*}} : i32)
// DET-ALL: ^[[bb1]](%{{.*}}: i32)
// DET-ALL: arith.cmpi slt, {{.*}}
// DET-ALL: cond_br {{.*}}, ^[[bb2:.*]](%{{.*}} : i32), ^[[bb3:.*]](%{{.*}} : i32)
// DET-ALL: ^[[bb2]](%{{.*}}: i32)
// DET-ALL: arith.addi {{.*}}
// DET-ALL: br ^[[bb1]](%{{.*}} : i32)
// DET-ALL: ^[[bb3]](%{{.*}}: i32)
// DET-ALL: tensor.from_elements {{.*}}
// DET-ALL: linalg.tensor_collapse_shape {{.*}}
// DET-ALL: return %{{.*}} : tensor<i32>
// Test detensoring only ops involed in control-flow.
//
// DET-CF-LABEL: func @main
// DET-CF-SAME: (%{{.*}}: tensor<i32>, %{{.*}}: tensor<i32>)
// DET-CF: tensor.extract {{.*}}
// DET-CF: br ^[[bb1:.*]](%{{.*}} : i32)
// DET-CF: ^[[bb1]](%{{.*}}: i32)
// DET-CF: arith.cmpi slt, {{.*}}
// DET-CF: cond_br {{.*}}, ^[[bb2:.*]](%{{.*}} : i32), ^[[bb3:.*]](%{{.*}} : i32)
// DET-CF: ^[[bb2]](%{{.*}}: i32)
// DET-CF: arith.addi {{.*}}
// DET-CF: br ^[[bb1]](%{{.*}} : i32)
// DET-CF: ^[[bb3]](%{{.*}}: i32)
// DET-CF: tensor.from_elements %{{.*}} : tensor<1xi32>
// DET-CF: linalg.tensor_collapse_shape %{{.*}} [] : tensor<1xi32> into tensor<i32>
// DET-CF: return %{{.*}} : tensor<i32>