1// RUN: mlir-opt %s -convert-elementwise-to-linalg \ 2// RUN: -one-shot-bufferize="bufferize-function-boundaries" \ 3// RUN: -canonicalize -buffer-deallocation-pipeline -convert-bufferization-to-memref -convert-linalg-to-loops \ 4// RUN: -convert-scf-to-cf -convert-arith-to-llvm -convert-cf-to-llvm --finalize-memref-to-llvm \ 5// RUN: -convert-func-to-llvm -reconcile-unrealized-casts | \ 6// RUN: mlir-runner -e main -entry-point-result=void \ 7// RUN: -shared-libs=%mlir_runner_utils \ 8// RUN: | FileCheck %s 9 10func.func @main() { 11 %a = arith.constant dense<[1.0, 2.0, 3.0]> : tensor<3xf32> 12 %b = arith.constant dense<[10.0, 20.0, 30.0]> : tensor<3xf32> 13 14 %addf = arith.addf %a, %b : tensor<3xf32> 15 %addf_unranked = tensor.cast %addf : tensor<3xf32> to tensor<*xf32> 16 call @printMemrefF32(%addf_unranked) : (tensor<*xf32>) -> () 17 // CHECK: Unranked Memref base@ = {{.*}} rank = 1 offset = 0 sizes = [3] strides = [1] data = 18 // CHECK-NEXT: [11, 22, 33] 19 20 return 21} 22 23func.func private @printMemrefF32(%ptr : tensor<*xf32>) 24