1// RUN: mlir-opt %s -one-shot-bufferize="allow-return-memref allow-unknown-ops" -split-input-file | FileCheck %s
2
3// Run fuzzer with different seeds.
4// RUN: mlir-opt %s -one-shot-bufferize="allow-return-memref test-analysis-only analysis-fuzzer-seed=23" -split-input-file -o /dev/null
5// RUN: mlir-opt %s -one-shot-bufferize="allow-return-memref test-analysis-only analysis-fuzzer-seed=59" -split-input-file -o /dev/null
6// RUN: mlir-opt %s -one-shot-bufferize="allow-return-memref test-analysis-only analysis-fuzzer-seed=91" -split-input-file -o /dev/null
7
8// CHECK-LABEL: func @use_tensor_func_arg(
9//  CHECK-SAME:     %[[A:.*]]: tensor<?xf32>
10func @use_tensor_func_arg(%A : tensor<?xf32>) -> (vector<4xf32>) {
11  %c0 = arith.constant 0 : index
12  %f0 = arith.constant 0.0 : f32
13
14  // CHECK: %[[A_memref:.*]] = bufferization.to_memref %[[A]]
15  // CHECK: %[[res:.*]] = vector.transfer_read %[[A_memref]]
16  %0 = vector.transfer_read %A[%c0], %f0 : tensor<?xf32>, vector<4xf32>
17
18  // CHECK: return %[[res]]
19  return %0 : vector<4xf32>
20}
21
22// -----
23
24// CHECK-LABEL: func @return_tensor(
25//  CHECK-SAME:     %[[A:.*]]: tensor<?xf32>
26func @return_tensor(%A : tensor<?xf32>, %v : vector<4xf32>) -> (tensor<?xf32>) {
27  %c0 = arith.constant 0 : index
28
29  // CHECK: %[[A_memref:.*]] = bufferization.to_memref %[[A]]
30  // CHECK: %[[dim:.*]] = tensor.dim %[[A]]
31  // CHECK: %[[alloc:.*]] = memref.alloc(%[[dim]])
32  // CHECK: %[[casted:.*]] = memref.cast %[[alloc]]
33  // CHECK: memref.copy %[[A_memref]], %[[alloc]]
34  // CHECK: vector.transfer_write %{{.*}}, %[[alloc]]
35  // CHECK: %[[res_tensor:.*]] = bufferization.to_tensor %[[casted]]
36  %0 = vector.transfer_write %v, %A[%c0] : vector<4xf32>, tensor<?xf32>
37
38  // CHECK: return %[[res_tensor]]
39  return %0 : tensor<?xf32>
40}
41
42// -----
43
44// CHECK-LABEL: func @func_without_tensor_args
45func @func_without_tensor_args(%v : vector<10xf32>) -> () {
46  // CHECK: %[[alloc:.*]] = memref.alloc()
47  %0 = linalg.init_tensor[10] : tensor<10xf32>
48
49  %c0 = arith.constant 0 : index
50  // CHECK: vector.transfer_write %{{.*}}, %[[alloc]]
51  %1 = vector.transfer_write %v, %0[%c0] : vector<10xf32>, tensor<10xf32>
52
53  %cst = arith.constant 0.0 : f32
54  // CHECK: vector.transfer_read %[[alloc]]
55  %r = vector.transfer_read %1[%c0], %cst : tensor<10xf32>, vector<11xf32>
56
57  vector.print %r : vector<11xf32>
58  return
59}
60
61// -----
62
63// CHECK-LABEL: func private @private_func
64func private @private_func(tensor<?xf32>) -> ()
65
66// CHECK-LABEL: func @empty_func()
67func @empty_func() -> () {
68  return
69}
70
71
72