| // UNSUPPORTED: asan |
| // RUN: mlir-opt %s -linalg-bufferize -std-bufferize -tensor-constant-bufferize \ |
| // RUN: -tensor-bufferize -func-bufferize -finalizing-bufferize -buffer-deallocation -convert-linalg-to-loops -convert-scf-to-std \ |
| // RUN: -convert-linalg-to-llvm -lower-affine -convert-scf-to-std --convert-memref-to-llvm -convert-std-to-llvm -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 |
| |
| // RUN: mlir-opt %s -linalg-tile="tile-sizes=1,2,3" -linalg-bufferize \ |
| // RUN: -scf-bufferize -std-bufferize -tensor-constant-bufferize -tensor-bufferize \ |
| // RUN: -func-bufferize \ |
| // RUN: -finalizing-bufferize -convert-linalg-to-loops -convert-scf-to-std -convert-scf-to-std \ |
| // RUN: -convert-linalg-to-llvm -lower-affine -convert-scf-to-std --convert-memref-to-llvm -convert-std-to-llvm -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], [4.0, 5.0, 6.0]]> : tensor<2x3xf32> |
| %B = arith.constant dense<[[1.0, 2.0, 3.0, 4.0], |
| [5.0, 6.0, 7.0, 8.0], |
| [9.0, 10.0, 11.0, 12.0]]> : tensor<3x4xf32> |
| %C = arith.constant dense<1000.0> : tensor<2x4xf32> |
| |
| %D = linalg.matmul ins(%A, %B: tensor<2x3xf32>, tensor<3x4xf32>) |
| outs(%C: tensor<2x4xf32>) -> tensor<2x4xf32> |
| |
| %unranked = tensor.cast %D : tensor<2x4xf32> to tensor<*xf32> |
| call @print_memref_f32(%unranked) : (tensor<*xf32>) -> () |
| |
| // CHECK: Unranked Memref base@ = {{0x[-9a-f]*}} |
| // CHECK-SAME: rank = 2 offset = 0 sizes = [2, 4] strides = [4, 1] data = |
| // CHECK-NEXT: [1038, 1044, 1050, 1056] |
| // CHECK-NEXT: [1083, 1098, 1113, 1128] |
| |
| return |
| } |
| |
| func private @print_memref_f32(%ptr : tensor<*xf32>) |
