1// RUN: mlir-opt %s -test-tensor-copy-insertion -split-input-file | FileCheck %s 2// RUN: mlir-opt %s -test-tensor-copy-insertion="bufferize-function-boundaries" -split-input-file | FileCheck %s --check-prefix=CHECK-FUNC 3 4// CHECK-LABEL: func @read_after_write_conflict( 5// CHECK-SAME: %[[t:.*]]: tensor<?xf32> 6// CHECK-FUNC-LABEL: func @read_after_write_conflict( 7func.func @read_after_write_conflict(%t: tensor<?xf32>, %idx: index, %f: f32) 8 -> (tensor<?xf32>, tensor<?xf32>) 9{ 10 // CHECK-FUNC: bufferization.alloc_tensor() copy(%{{.*}}) : tensor<?xf32> 11 // CHECK: %[[copy:.*]] = bufferization.alloc_tensor() copy(%{{.*}}) : tensor<?xf32> 12 // CHECK: %[[insert:.*]] = tensor.insert %{{.*}} into %[[copy]] 13 %0 = tensor.insert %f into %t[%idx] : tensor<?xf32> 14 // CHECK: return %[[insert]], %[[t]] 15 return %0, %t : tensor<?xf32>, tensor<?xf32> 16} 17 18// ----- 19 20// CHECK-LABEL: func @return_alloc_tensor 21// CHECK-FUNC-LABEL: func @return_alloc_tensor 22func.func @return_alloc_tensor() -> (tensor<5xf32>) { 23 // CHECK-FUNC: bufferization.alloc_tensor() : tensor<5xf32> 24 // CHECK: bufferization.alloc_tensor() : tensor<5xf32> 25 %0 = bufferization.alloc_tensor() : tensor<5xf32> 26 return %0 : tensor<5xf32> 27} 28 29// ----- 30 31// CHECK-LABEL: func @do_not_copy_undefined_tensor 32func.func @do_not_copy_undefined_tensor(%f: f32, %idx: index) 33 -> (tensor<5xf32>, tensor<5xf32>) 34{ 35 // The second alloc_tensor should not have a copy operand. 36 // CHECK: bufferization.alloc_tensor() : tensor<5xf32> 37 // CHECK: bufferization.alloc_tensor() : tensor<5xf32> 38 %0 = bufferization.alloc_tensor() : tensor<5xf32> 39 %1 = tensor.insert %f into %0[%idx] : tensor<5xf32> 40 return %0, %1 : tensor<5xf32>, tensor<5xf32> 41} 42 43// ----- 44 45// CHECK-LABEL: func @do_not_copy_when_overwritten 46func.func @do_not_copy_when_overwritten(%t: tensor<5xf32>, %f: f32) 47 -> (tensor<5xf32>, tensor<5xf32>) 48{ 49 // CHECK: %[[alloc:.*]] = bufferization.alloc_tensor() : tensor<5xf32> 50 // CHECK: linalg.generic {{.*}} outs(%[[alloc]] : tensor<5xf32>) 51 %r = linalg.generic { 52 indexing_maps = [affine_map<(d0) -> (d0)>], 53 iterator_types = ["parallel"]} 54 outs(%t : tensor<5xf32>) { 55 ^bb0(%arg0 : f32) : 56 linalg.yield %f : f32 57 } -> tensor<5xf32> 58 return %t, %r : tensor<5xf32>, tensor<5xf32> 59} 60 61// ----- 62 63// CHECK-LABEL: func @do_not_copy_when_result_not_read 64func.func @do_not_copy_when_result_not_read(%t: tensor<5xf32>, %f: f32) 65 -> (tensor<3xf32>) 66{ 67 %0 = tensor.extract_slice %t[0][3][1] : tensor<5xf32> to tensor<3xf32> 68 // CHECK: %[[alloc:.*]] = bufferization.alloc_tensor() : tensor<3xf32> 69 // CHECK: linalg.generic {{.*}} outs(%[[alloc]] : tensor<3xf32>) 70 %r = linalg.generic { 71 indexing_maps = [affine_map<(d0) -> (d0)>], 72 iterator_types = ["parallel"]} 73 outs(%0 : tensor<3xf32>) { 74 ^bb0(%arg0 : f32) : 75 linalg.yield %f : f32 76 } -> tensor<3xf32> 77 return %r : tensor<3xf32> 78} 79