1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
|
// RUN: mlir-opt %s -sparsification | FileCheck %s
#SparseVector = #sparse_tensor.encoding<{
dimLevelType = ["compressed"]
}>
#SparseMatrix = #sparse_tensor.encoding<{
dimLevelType = ["compressed", "compressed"]
}>
// CHECK-LABEL: func.func @expand_dense(
// CHECK-SAME: %[[A:.*]]: tensor<12xf64>) -> tensor<3x4xf64> {
// CHECK: %[[E:.*]] = tensor.expand_shape %[[A]] {{.*}} : tensor<12xf64> into tensor<3x4xf64>
// CHECK: return %[[E]] : tensor<3x4xf64>
// CHECK: }
func.func @expand_dense(%arg0: tensor<12xf64>) -> tensor<3x4xf64> {
%0 = tensor.expand_shape %arg0 [[0, 1]] : tensor<12xf64> into tensor<3x4xf64>
return %0 : tensor<3x4xf64>
}
// CHECK-LABEL: func.func @expand_from_sparse(
// CHECK-SAME: %[[A:.*]]: tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>) -> tensor<3x4xf64> {
// CHECK: %[[C:.*]] = sparse_tensor.convert %[[A]] : tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>> to tensor<12xf64>
// CHECK: %[[E:.*]] = tensor.expand_shape %[[C]] {{.*}} : tensor<12xf64> into tensor<3x4xf64>
// CHECK: return %[[E]] : tensor<3x4xf64>
// CHECK: }
func.func @expand_from_sparse(%arg0: tensor<12xf64, #SparseVector>) -> tensor<3x4xf64> {
%0 = tensor.expand_shape %arg0 [[0, 1]] : tensor<12xf64, #SparseVector> into tensor<3x4xf64>
return %0 : tensor<3x4xf64>
}
// CHECK-LABEL: func.func @expand_to_sparse(
// CHECK-SAME: %[[A:.*]]: tensor<12xf64>) -> tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> {
// CHECK: %[[E:.*]] = tensor.expand_shape %[[A]] {{.*}} : tensor<12xf64> into tensor<3x4xf64>
// CHECK: %[[C:.*]] = sparse_tensor.convert %[[E]] : tensor<3x4xf64> to tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: return %[[C]] : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: }
func.func @expand_to_sparse(%arg0: tensor<12xf64>) -> tensor<3x4xf64, #SparseMatrix> {
%0 = tensor.expand_shape %arg0 [[0, 1]] : tensor<12xf64> into tensor<3x4xf64, #SparseMatrix>
return %0 : tensor<3x4xf64, #SparseMatrix>
}
//
// Not rewritten, needs conversion.
//
// CHECK-LABEL: func.func @expand_sparse2sparse(
// CHECK-SAME: %[[A:.*]]: tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>) -> tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> {
// CHECK: %[[E:.*]] = tensor.expand_shape %[[A]] {{.*}} : tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>> into tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: return %[[E]] : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: }
func.func @expand_sparse2sparse(%arg0: tensor<12xf64, #SparseVector>) -> tensor<3x4xf64, #SparseMatrix> {
%0 = tensor.expand_shape %arg0 [[0, 1]] : tensor<12xf64, #SparseVector> into tensor<3x4xf64, #SparseMatrix>
return %0 : tensor<3x4xf64, #SparseMatrix>
}
// CHECK-LABEL: func.func @collapse_dense(
// CHECK-SAME: %[[A:.*]]: tensor<3x4xf64>) -> tensor<12xf64> {
// CHECK: %[[R:.*]] = tensor.collapse_shape %[[A]] {{.*}} : tensor<3x4xf64> into tensor<12xf64>
// CHECK: return %[[R]] : tensor<12xf64>
// CHECK: }
func.func @collapse_dense(%arg0: tensor<3x4xf64>) -> tensor<12xf64> {
%0 = tensor.collapse_shape %arg0 [[0, 1]] : tensor<3x4xf64> into tensor<12xf64>
return %0 : tensor<12xf64>
}
// CHECK-LABEL: func.func @collapse_from_sparse(
// CHECK-SAME: %[[A:.*]]: tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>) -> tensor<12xf64> {
// CHECK: %[[C:.*]] = sparse_tensor.convert %[[A]] : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> to tensor<3x4xf64>
// CHECK: %[[R:.*]] = tensor.collapse_shape %[[C]] {{.*}} : tensor<3x4xf64> into tensor<12xf64>
// CHECK: return %[[R]] : tensor<12xf64>
// CHECK: }
func.func @collapse_from_sparse(%arg0: tensor<3x4xf64, #SparseMatrix>) -> tensor<12xf64> {
%0 = tensor.collapse_shape %arg0 [[0, 1]] : tensor<3x4xf64, #SparseMatrix> into tensor<12xf64>
return %0 : tensor<12xf64>
}
// CHECK-LABEL: func.func @collapse_to_sparse(
// CHECK-SAME: %[[A:.*]]: tensor<3x4xf64>) -> tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>> {
// CHECK: %[[R:.*]] = tensor.collapse_shape %[[A]] {{.*}} : tensor<3x4xf64> into tensor<12xf64>
// CHECK: %[[C:.*]] = sparse_tensor.convert %[[R]] : tensor<12xf64> to tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: return %[[C]] : tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: }
func.func @collapse_to_sparse(%arg0: tensor<3x4xf64>) -> tensor<12xf64, #SparseVector> {
%0 = tensor.collapse_shape %arg0 [[0, 1]] : tensor<3x4xf64> into tensor<12xf64, #SparseVector>
return %0 : tensor<12xf64, #SparseVector>
}
//
// Not rewritten, needs conversion.
//
// CHECK-LABEL: func.func @collapse_sparse2sparse(
// CHECK-SAME: %[[A:.*]]: tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>>) -> tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>> {
// CHECK: %[[C:.*]] = tensor.collapse_shape %[[A]] {{.*}} : tensor<3x4xf64, #sparse_tensor.encoding<{{{.*}}}>> into tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: return %[[C]] : tensor<12xf64, #sparse_tensor.encoding<{{{.*}}}>>
// CHECK: }
func.func @collapse_sparse2sparse(%arg0: tensor<3x4xf64, #SparseMatrix>) -> tensor<12xf64, #SparseVector> {
%0 = tensor.collapse_shape %arg0 [[0, 1]] : tensor<3x4xf64, #SparseMatrix> into tensor<12xf64, #SparseVector>
return %0 : tensor<12xf64, #SparseVector>
}
|