xref: /llvm-project/mlir/test/Dialect/SparseTensor/external_direct.mlir (revision 5122a2c2320c7b14f6585e63b7fc43ac82a550c2) 
1// RUN: mlir-opt %s --sparse-assembler="direct-out=True" -split-input-file | FileCheck %s
2
3// -----
4
5// CHECK-LABEL: func.func @sparse_in(
6// CHECK-SAME:    %[[B:.*0]]: tensor<?xindex>,
7// CHECK-SAME:    %[[C:.*1]]: tensor<?xindex>,
8// CHECK-SAME:    %[[A:.*]]: tensor<?xf32>) -> tensor<64x64xf32> {
9// CHECK:         %[[I:.*]] = sparse_tensor.assemble (%[[B]], %[[C]]), %[[A]]
10// CHECK:         %[[F:.*]] = call @_internal_sparse_in(%[[I]])
11// CHECK:         return %[[F]] : tensor<64x64xf32>
12// CHECK:       }
13// CHECK:       func.func private @_internal_sparse_in
14#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>
15func.func @sparse_in(%arg0: tensor<64x64xf32, #sparse>) -> tensor<64x64xf32> {
16  %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32, #sparse> to tensor<64x64xf32>
17  return %0 : tensor<64x64xf32>
18}
19
20// -----
21
22// CHECK-LABEL: func.func @sparse_out(
23// CHECK-SAME:    %[[X:.*0]]: tensor<64x64xf32>)
24// CHECK:         %[[F:.*]] = call @_internal_sparse_out(%[[X]])
25// CHECK:         %[[P:.*]] = sparse_tensor.positions %[[F]]
26// CHECK:         %[[C:.*]] = sparse_tensor.coordinates %[[F]]
27// CHECK:         %[[V:.*]] = sparse_tensor.values %[[F]]
28// CHECK:         return %[[P]], %[[C]], %[[V]]
29// CHECK:       }
30// CHECK:       func.func private @_internal_sparse_out
31#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>
32func.func @sparse_out(%arg0: tensor<64x64xf32>) -> tensor<64x64xf32, #sparse> {
33  %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse>
34  return %0 : tensor<64x64xf32, #sparse>
35}
36
37// -----
38
39// CHECK-LABEL: func.func @sparse_out2(
40// CHECK-SAME:    %[[X:.*0]]: tensor<64x64xf32>)
41// CHECK:         %[[F:.*]]:2 = call @_internal_sparse_out2(%[[X]])
42// CHECK:         %[[P:.*]] = sparse_tensor.positions %[[F]]#1
43// CHECK:         %[[C:.*]] = sparse_tensor.coordinates %[[F]]#1
44// CHECK:         %[[V:.*]] = sparse_tensor.values %[[F]]#1
45// CHECK:         return %[[F]]#0, %[[P]], %[[C]], %[[V]]
46// CHECK:       }
47// CHECK:       func.func private @_internal_sparse_out2
48#sparse = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>
49func.func @sparse_out2(%arg0: tensor<64x64xf32>) -> (tensor<64x64xf32>, tensor<64x64xf32, #sparse>) {
50  %0 = sparse_tensor.convert %arg0 : tensor<64x64xf32> to tensor<64x64xf32, #sparse>
51  return %arg0, %0 : tensor<64x64xf32>, tensor<64x64xf32, #sparse>
52}
53