1 // RUN: mlir-opt -one-shot-bufferize="bufferize-function-boundaries" -split-input-file %s | FileCheck %s
2 // RUN: mlir-opt -one-shot-bufferize -split-input-file %s | FileCheck %s --check-prefix=CHECK-NO-FUNC
4 // CHECK-NO-FUNC-LABEL: func @br(
5 // CHECK-NO-FUNC-SAME: %[[t:.*]]: tensor<5xf32>)
6 // CHECK-NO-FUNC: %[[m:.*]] = bufferization.to_memref %[[t]] : memref<5xf32, strided<[?], offset: ?>>
7 // CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {
8 // CHECK-NO-FUNC: cf.br ^[[block:.*]](%[[m]]
9 // CHECK-NO-FUNC: ^[[block]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):
10 // CHECK-NO-FUNC: scf.yield %[[arg1]]
12 // CHECK-NO-FUNC: return
13 func.func @br(%t: tensor<5xf32>) {
14 %0 = scf.execute_region -> tensor<5xf32> {
15 cf.br ^bb1(%t : tensor<5xf32>)
16 ^bb1(%arg1 : tensor<5xf32>):
17 scf.yield %arg1 : tensor<5xf32>
24 // CHECK-NO-FUNC-LABEL: func @cond_br(
25 // CHECK-NO-FUNC-SAME: %[[t1:.*]]: tensor<5xf32>,
26 // CHECK-NO-FUNC: %[[m1:.*]] = bufferization.to_memref %[[t1]] : memref<5xf32, strided<[?], offset: ?>>
27 // CHECK-NO-FUNC: %[[alloc:.*]] = memref.alloc() {{.*}} : memref<5xf32>
28 // CHECK-NO-FUNC: %[[r:.*]] = scf.execute_region -> memref<5xf32, strided<[?], offset: ?>> {
29 // CHECK-NO-FUNC: cf.cond_br %{{.*}}, ^[[block1:.*]](%[[m1]] : {{.*}}), ^[[block2:.*]](%[[alloc]] : {{.*}})
30 // CHECK-NO-FUNC: ^[[block1]](%[[arg1:.*]]: memref<5xf32, strided<[?], offset: ?>>):
31 // CHECK-NO-FUNC: scf.yield %[[arg1]]
32 // CHECK-NO-FUNC: ^[[block2]](%[[arg2:.*]]: memref<5xf32>):
33 // CHECK-NO-FUNC: %[[cast:.*]] = memref.cast %[[arg2]] : memref<5xf32> to memref<5xf32, strided<[?], offset: ?>
34 // CHECK-NO-FUNC: cf.br ^[[block1]](%[[cast]] : {{.*}})
36 // CHECK-NO-FUNC: return
37 func.func @cond_br(%t1: tensor<5xf32>, %c: i1) {
38 // Use an alloc for the second block instead of a function block argument.
39 // A cast must be inserted because the two will have different layout maps.
40 %t0 = bufferization.alloc_tensor() : tensor<5xf32>
41 %0 = scf.execute_region -> tensor<5xf32> {
42 cf.cond_br %c, ^bb1(%t1 : tensor<5xf32>), ^bb2(%t0 : tensor<5xf32>)
43 ^bb1(%arg1 : tensor<5xf32>):
44 scf.yield %arg1 : tensor<5xf32>
45 ^bb2(%arg2 : tensor<5xf32>):
46 cf.br ^bb1(%arg2 : tensor<5xf32>)
53 // CHECK-LABEL: func @looping_branches(
54 func.func @looping_branches() -> tensor<5xf32> {
55 // CHECK: %[[alloc:.*]] = memref.alloc
56 %0 = bufferization.alloc_tensor() : tensor<5xf32>
57 // CHECK: cf.br {{.*}}(%[[alloc]]
58 cf.br ^bb1(%0: tensor<5xf32>)
59 // CHECK: ^{{.*}}(%[[arg1:.*]]: memref<5xf32>):
60 ^bb1(%arg1: tensor<5xf32>):
61 %pos = "test.foo"() : () -> (index)
62 %val = "test.bar"() : () -> (f32)
63 // CHECK: memref.store %{{.*}}, %[[arg1]]
64 %inserted = tensor.insert %val into %arg1[%pos] : tensor<5xf32>
65 %cond = "test.qux"() : () -> (i1)
66 // CHECK: cf.cond_br {{.*}}(%[[arg1]] {{.*}}(%[[arg1]]
67 cf.cond_br %cond, ^bb1(%inserted: tensor<5xf32>), ^bb2(%inserted: tensor<5xf32>)
68 // CHECK: ^{{.*}}(%[[arg2:.*]]: memref<5xf32>):
69 ^bb2(%arg2: tensor<5xf32>):
70 // CHECK: return %[[arg2]]
71 func.return %arg2 : tensor<5xf32>