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
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
|
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
func.func @reduce_op_args_num_mismatch(%shape : !shape.shape, %init : !shape.size) {
// expected-error@+1 {{ReduceOp body is expected to have 3 arguments}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> !shape.size {
^bb0(%index: index, %dim: !shape.size):
shape.yield %dim : !shape.size
}
return
}
// -----
func.func @reduce_op_arg0_wrong_type(%shape : !shape.shape, %init : !shape.size) {
// expected-error@+1 {{argument 0 of ReduceOp body is expected to be of IndexType}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> !shape.size {
^bb0(%index: f32, %dim: !shape.size, %acc: !shape.size):
%new_acc = "shape.add"(%acc, %dim)
: (!shape.size, !shape.size) -> !shape.size
shape.yield %new_acc : !shape.size
}
return
}
// -----
func.func @reduce_op_arg1_wrong_type(%shape : !shape.shape, %init : !shape.size) {
// expected-error@+1 {{argument 1 of ReduceOp body is expected to be of SizeType if the ReduceOp operates on a ShapeType}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> !shape.size {
^bb0(%index: index, %dim: f32, %lci: !shape.size):
shape.yield
}
return
}
// -----
func.func @reduce_op_arg1_wrong_type(%shape : tensor<?xindex>, %init : index) {
// expected-error@+1 {{argument 1 of ReduceOp body is expected to be of IndexType if the ReduceOp operates on an extent tensor}}
%num_elements = shape.reduce(%shape, %init) : tensor<?xindex> -> index {
^bb0(%index: index, %dim: f32, %lci: index):
shape.yield
}
return
}
// -----
func.func @reduce_op_init_type_mismatch(%shape : !shape.shape, %init : f32) {
// expected-error@+1 {{type mismatch between argument 2 of ReduceOp body and initial value 0}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> f32 {
^bb0(%index: index, %dim: !shape.size, %lci: !shape.size):
shape.yield
}
return
}
// -----
func.func @yield_op_args_num_mismatch(%shape : !shape.shape, %init : !shape.size) {
// expected-error@+3 {{number of operands does not match number of results of its parent}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> !shape.size {
^bb0(%index: index, %dim: !shape.size, %lci: !shape.size):
shape.yield %dim, %dim : !shape.size, !shape.size
}
return
}
// -----
func.func @yield_op_type_mismatch(%shape : !shape.shape, %init : !shape.size) {
// expected-error@+4 {{types mismatch between yield op and its parent}}
%num_elements = shape.reduce(%shape, %init) : !shape.shape -> !shape.size {
^bb0(%index: index, %dim: !shape.size, %lci: !shape.size):
%c0 = arith.constant 1 : index
shape.yield %c0 : index
}
return
}
// -----
func.func @assuming_all_op_too_few_operands() {
// expected-error@+1 {{no operands specified}}
%w0 = shape.assuming_all
return
}
// -----
func.func @shape_of(%value_arg : !shape.value_shape,
%shaped_arg : tensor<?x3x4xf32>) {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `shape` to propagate them}}
%0 = shape.shape_of %value_arg : !shape.value_shape -> tensor<?xindex>
return
}
// -----
func.func @shape_of_incompatible_return_types(%value_arg : tensor<1x2xindex>) {
// expected-error@+2 {{failed to infer returned types}}
// expected-error@+1 {{'shape.shape_of' op inferred type(s) 'tensor<2xindex>' are incompatible with return type(s) of operation 'tensor<3xindex>'}}
%0 = shape.shape_of %value_arg : tensor<1x2xindex> -> tensor<3xindex>
return
}
// -----
func.func @rank(%arg : !shape.shape) {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `size` to propagate them}}
%0 = shape.rank %arg : !shape.shape -> index
return
}
// -----
func.func @get_extent(%arg : tensor<?xindex>) -> index {
%c0 = shape.const_size 0
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `size` to propagate them}}
%result = shape.get_extent %arg, %c0 : tensor<?xindex>, !shape.size -> index
return %result : index
}
// -----
func.func @mul(%lhs : !shape.size, %rhs : index) -> index {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `size` to propagate them}}
%result = shape.mul %lhs, %rhs : !shape.size, index -> index
return %result : index
}
// -----
func.func @num_elements(%arg : !shape.shape) -> index {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `size` to propagate them}}
%result = shape.num_elements %arg : !shape.shape -> index
return %result : index
}
// -----
func.func @add(%lhs : !shape.size, %rhs : index) -> index {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `size` to propagate them}}
%result = shape.add %lhs, %rhs : !shape.size, index -> index
return %result : index
}
// -----
func.func @broadcast(%arg0 : !shape.shape, %arg1 : !shape.shape) -> tensor<?xindex> {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `shape` to propagate them}}
%result = shape.broadcast %arg0, %arg1
: !shape.shape, !shape.shape -> tensor<?xindex>
return %result : tensor<?xindex>
}
// -----
func.func @broadcast(%arg0 : !shape.shape, %arg1 : tensor<?xindex>) -> tensor<?xindex> {
// expected-error@+1 {{if at least one of the operands can hold error values then the result must be of type `shape` to propagate them}}
%result = shape.broadcast %arg0, %arg1
: !shape.shape, tensor<?xindex> -> tensor<?xindex>
return %result : tensor<?xindex>
}
// -----
// Test using an unsupported shape.lib attribute type.
// expected-error@+1 {{only SymbolRefAttr allowed in shape.lib attribute array}}
module attributes {shape.lib = [@shape_lib, "shape_lib"]} {
shape.function_library @shape_lib {
// Test shape function that returns the shape of input arg as result shape.
func.func @same_result_shape(%arg: !shape.value_shape) -> !shape.shape {
%0 = shape.shape_of %arg : !shape.value_shape -> !shape.shape
return %0 : !shape.shape
}
} mapping {
test.same_operand_result_type = @same_result_shape
}
}
// -----
// Test that duplicate op to shape function mappings are flagged, this uses
// the same library twice for easy overlap.
// expected-error@+1 {{only one op to shape mapping allowed}}
module attributes {shape.lib = [@shape_lib, @shape_lib]} {
shape.function_library @shape_lib {
// Test shape function that returns the shape of input arg as result shape.
func.func @same_result_shape(%arg: !shape.value_shape) -> !shape.shape {
%0 = shape.shape_of %arg : !shape.value_shape -> !shape.shape
return %0 : !shape.shape
}
} mapping {
test.same_operand_result_type = @same_result_shape
}
}
// -----
// Test that duplicate op to shape function mappings are flagged (this is
// more an invariant of using the dictionary attribute here than anything
// specific to function library op).
module attributes {shape.lib = [@shape_lib]} {
shape.function_library @shape_lib {
// Test shape function that returns the shape of input arg as result shape.
func.func @same_result_shape(%arg: !shape.value_shape) -> !shape.shape {
%0 = shape.shape_of %arg : !shape.value_shape -> !shape.shape
return %0 : !shape.shape
}
} mapping {
// expected-error @+2 {{duplicate key}}
test.same_operand_result_type = @same_result_shape,
test.same_operand_result_type = @same_result_shape
}
}
// -----
// Test that op referred to by shape lib is a shape function library.
// expected-error@+1 {{required to be shape function library}}
module attributes {shape.lib = @fn} {
func.func @fn(%arg: !shape.value_shape) -> !shape.shape {
%0 = shape.shape_of %arg : !shape.value_shape -> !shape.shape
return %0 : !shape.shape
}
}
// -----
// Test that op referred to by shape lib is a shape function library.
func.func @fn(%arg: !shape.value_shape) -> !shape.shape {
// expected-error@+1 {{SymbolTable}}
%0 = shape.shape_of %arg {shape.lib = @fn} : !shape.value_shape -> !shape.shape
return %0 : !shape.shape
}
// -----
// Test that shape function library is defined.
// expected-error@+1 {{@fn not found}}
module attributes {shape.lib = @fn} { }
// -----
func.func @fn(%arg: !shape.shape) -> !shape.witness {
// expected-error@+1 {{required at least 2 input shapes}}
%0 = shape.cstr_broadcastable %arg : !shape.shape
return %0 : !shape.witness
}
// -----
// Test that type inference flags the wrong return type.
func.func @const_shape() {
// expected-error@+2 {{failed to infer returned types}}
// expected-error@+1 {{'tensor<3xindex>' are incompatible with return type(s) of operation 'tensor<2xindex>'}}
%0 = shape.const_shape [4, 5, 6] : tensor<2xindex>
return
}
// -----
func.func @invalid_meet(%arg0 : !shape.shape, %arg1 : index) -> index {
// expected-error@+2 {{failed to infer returned types}}
// expected-error@+1 {{requires all sizes or shapes}}
%result = shape.meet %arg0, %arg1 : !shape.shape, index -> index
return %result : index
}
// -----
func.func @invalid_meet(%arg0 : tensor<2xindex>, %arg1 : tensor<3xindex>) -> tensor<?xindex> {
// expected-error@+2 {{failed to infer returned types}}
// expected-error@+1 {{unequal shape cardinality}}
%result = shape.meet %arg0, %arg1 : tensor<2xindex>, tensor<3xindex> -> tensor<?xindex>
return %result : tensor<?xindex>
}
|
