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1// RUN: mlir-opt %s \2// RUN: -one-shot-bufferize="bufferize-function-boundaries" \3// RUN: -buffer-deallocation-pipeline -convert-bufferization-to-memref \4// RUN: -convert-linalg-to-loops -convert-scf-to-cf -expand-strided-metadata \5// RUN: -lower-affine -convert-arith-to-llvm --finalize-memref-to-llvm \6// RUN: -convert-func-to-llvm -reconcile-unrealized-casts | \7// RUN: mlir-runner -e main -entry-point-result=void \8// RUN: -shared-libs=%mlir_runner_utils \9// RUN: | FileCheck %s10 11func.func @main() {12 %const = arith.constant dense<10.0> : tensor<2xf32>13 %insert_val = arith.constant dense<20.0> : tensor<1xf32>14 %inserted = tensor.insert_slice %insert_val into %const[0][1][1] : tensor<1xf32> into tensor<2xf32>15 16 %unranked = tensor.cast %inserted : tensor<2xf32> to tensor<*xf32>17 call @printMemrefF32(%unranked) : (tensor<*xf32>) -> ()18 19 // CHECK: Unranked Memref base@ = {{0x[-9a-f]*}}20 // CHECK-SAME: rank = 1 offset = 0 sizes = [2] strides = [1] data =21 // CHECK-NEXT: [20, 10]22 23 return24}25 26func.func private @printMemrefF32(%ptr : tensor<*xf32>)27