| // RUN: mlir-opt %s -allow-unregistered-dialect -pass-pipeline="builtin.module(func.func(linalg-detensorize))" | FileCheck %s |
| |
| #map = affine_map<() -> ()> |
| func.func @main(%arg0: tensor<f32>) -> tensor<f32> { |
| %0 = tensor.empty() : tensor<f32> |
| %1 = linalg.generic {indexing_maps = [#map, #map], iterator_types = []} ins(%arg0 : tensor<f32>) outs(%0 : tensor<f32>) { |
| ^bb0(%in: f32, %out: f32): |
| linalg.yield %in : f32 |
| } -> tensor<f32> |
| cf.br ^bb1(%1 : tensor<f32>) |
| ^bb1(%2: tensor<f32>): // pred: ^bb0 |
| return %2 : tensor<f32> |
| } |
| |
| // CHECK-LABEL: @main |
| // CHECK-SAME: (%[[ARG0:.+]]: tensor<f32>) -> tensor<f32> |
| // CHECK: %[[EXTRACTED:.+]] = tensor.extract %[[ARG0]][] : tensor<f32> |
| // CHECK: cf.br ^{{.*}}(%[[EXTRACTED]] : f32) |
| // CHECK: ^{{.*}}(%[[ARG1:.+]]: f32): |
| // CHECK: %[[ELEMENTS:.+]] = tensor.from_elements %[[ARG1]] : tensor<f32> |
| // CHECK: return %[[ELEMENTS]] : tensor<f32> |
