| // RUN: mlir-opt %s -convert-elementwise-to-linalg -std-bufferize \ |
| // RUN: -tensor-constant-bufferize -linalg-bufferize -tensor-bufferize \ |
| // RUN: -func-bufferize -buffer-deallocation -convert-linalg-to-loops \ |
| // RUN: -convert-linalg-to-llvm --convert-memref-to-llvm -convert-std-to-llvm \ |
| // RUN: -reconcile-unrealized-casts | \ |
| // RUN: mlir-cpu-runner -e main -entry-point-result=void \ |
| // RUN: -shared-libs=%mlir_integration_test_dir/libmlir_runner_utils%shlibext \ |
| // RUN: | FileCheck %s |
| |
| func @main() { |
| %a = arith.constant dense<[1.0, 2.0, 3.0]> : tensor<3xf32> |
| %b = arith.constant dense<[10.0, 20.0, 30.0]> : tensor<3xf32> |
| |
| %addf = arith.addf %a, %b : tensor<3xf32> |
| %addf_unranked = tensor.cast %addf : tensor<3xf32> to tensor<*xf32> |
| call @print_memref_f32(%addf_unranked) : (tensor<*xf32>) -> () |
| // CHECK: Unranked Memref base@ = {{.*}} rank = 1 offset = 0 sizes = [3] strides = [1] data = |
| // CHECK-NEXT: [11, 22, 33] |
| |
| return |
| } |
| |
| func private @print_memref_f32(%ptr : tensor<*xf32>) |
