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1// RUN: mlir-opt %s -test-tensor-copy-insertion -split-input-file | FileCheck %s2// RUN: mlir-opt %s -test-tensor-copy-insertion="bufferize-function-boundaries" -split-input-file | FileCheck %s --check-prefix=CHECK-FUNC3 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_tensor21// CHECK-FUNC-LABEL: func @return_alloc_tensor22func.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_tensor32func.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_overwritten46func.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 : f3257 } -> tensor<5xf32>58 return %t, %r : tensor<5xf32>, tensor<5xf32>59}60 61// -----62 63// CHECK-LABEL: func @do_not_copy_when_result_not_read64func.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 : f3276 } -> tensor<3xf32>77 return %r : tensor<3xf32>78}79