1// RUN: mlir-opt %s -split-input-file -verify-diagnostics
2
3func @invalid_new_dense(%arg0: !llvm.ptr<i8>) -> tensor<32xf32> {
4  // expected-error@+1 {{expected a sparse tensor result}}
5  %0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<32xf32>
6  return %0 : tensor<32xf32>
7}
8
9// -----
10
11func @invalid_pointers_dense(%arg0: tensor<128xf64>) -> memref<?xindex> {
12  %c = constant 0 : index
13  // expected-error@+1 {{expected a sparse tensor to get pointers}}
14  %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64> to memref<?xindex>
15  return %0 : memref<?xindex>
16}
17
18// -----
19
20#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"], pointerBitWidth=32}>
21
22func @mismatch_pointers_types(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
23  %c = constant 0 : index
24  // expected-error@+1 {{unexpected type for pointers}}
25  %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
26  return %0 : memref<?xindex>
27}
28
29// -----
30
31#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
32
33func @pointers_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
34  %c = constant 1 : index
35  // expected-error@+1 {{requested pointers dimension out of bounds}}
36  %0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
37  return %0 : memref<?xindex>
38}
39
40// -----
41
42func @invalid_indices_dense(%arg0: tensor<10x10xi32>) -> memref<?xindex> {
43  %c = constant 1 : index
44  // expected-error@+1 {{expected a sparse tensor to get indices}}
45  %0 = sparse_tensor.indices %arg0, %c : tensor<10x10xi32> to memref<?xindex>
46  return %0 : memref<?xindex>
47}
48
49// -----
50
51#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
52
53func @mismatch_indices_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xi32> {
54  %c = constant 0 : index
55  // expected-error@+1 {{unexpected type for indices}}
56  %0 = sparse_tensor.indices %arg0, %c : tensor<?xf64, #SparseVector> to memref<?xi32>
57  return %0 : memref<?xi32>
58}
59
60// -----
61
62#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
63
64func @indices_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
65  %c = constant 1 : index
66  // expected-error@+1 {{requested indices dimension out of bounds}}
67  %0 = sparse_tensor.indices %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
68  return %0 : memref<?xindex>
69}
70
71// -----
72
73func @invalid_values_dense(%arg0: tensor<1024xf32>) -> memref<?xf32> {
74  // expected-error@+1 {{expected a sparse tensor to get values}}
75  %0 = sparse_tensor.values %arg0 : tensor<1024xf32> to memref<?xf32>
76  return %0 : memref<?xf32>
77}
78
79// -----
80
81#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
82
83func @mismatch_values_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xf32> {
84  // expected-error@+1 {{unexpected mismatch in element types}}
85  %0 = sparse_tensor.values %arg0 : tensor<?xf64, #SparseVector> to memref<?xf32>
86  return %0 : memref<?xf32>
87}
88