| // RUN: mlir-opt %s -split-input-file -allow-unregistered-dialect -pass-pipeline="builtin.module(func.func(linalg-detensorize))" | FileCheck %s |
| |
| // TODO: Detensoring breaks if %arg0 or %arg1 are passed directly as tensors. Fix that. |
| func.func @if_true_test(%arg0: i1, %arg1: i32) -> tensor<i32> attributes {} { |
| %arg0_t = tensor.from_elements %arg0 : tensor<i1> |
| %arg1_t = tensor.from_elements %arg1 : tensor<i32> |
| |
| %cst = arith.constant dense<10> : tensor<i32> |
| %2 = tensor.empty() : tensor<i8> |
| %3 = linalg.generic |
| {indexing_maps = [affine_map<() -> ()>, affine_map<() -> ()>], iterator_types = []} |
| ins(%arg0_t : tensor<i1>) |
| outs(%2 : tensor<i8>) { |
| ^bb0(%arg2: i1, %arg3: i8): |
| %10 = arith.extui %arg2 : i1 to i8 |
| linalg.yield %10 : i8 |
| } -> tensor<i8> |
| %4 = tensor.extract %3[] : tensor<i8> |
| %5 = arith.trunci %4 : i8 to i1 |
| cf.cond_br %5, ^bb1, ^bb2(%arg1_t : tensor<i32>) |
| ^bb1: |
| %6 = tensor.empty() : tensor<i32> |
| %7 = linalg.generic |
| {indexing_maps = [affine_map<() -> ()>, affine_map<() -> ()>, affine_map<() -> ()>], iterator_types = []} |
| ins(%arg1_t, %cst : tensor<i32>, tensor<i32>) |
| outs(%6 : tensor<i32>) { |
| ^bb0(%arg2: i32, %arg3: i32, %arg4: i32): |
| %10 = arith.addi %arg2, %arg3 : i32 |
| linalg.yield %10 : i32 |
| } -> tensor<i32> |
| cf.br ^bb2(%7 : tensor<i32>) |
| ^bb2(%8: tensor<i32>): |
| return %8 : tensor<i32> |
| } |
| |
| // CHECK-LABEL: func @if_true_test |
| // CHECK-SAME: (%[[arg0:.*]]: i1, %[[arg1:.*]]: i32) |
| // CHECK-NEXT: arith.constant 10 : i32 |
| // CHECK-NEXT: cf.cond_br %[[arg0]], ^[[bb1:.*]], ^[[bb2:.*]](%[[arg1]] : i32) |
| // CHECK-NEXT: ^[[bb1]]: |
| // CHECK-NEXT: %[[add_res:.*]] = arith.addi |
| // CHECK-NEXT: cf.br ^[[bb2]](%[[add_res]] : i32) |
| // CHECK-NEXT: ^[[bb2]] |
| // CHECK-NEXT: %[[func_res:.*]] = tensor.from_elements |
| // CHECK-NEXT: return %[[func_res]] |
