| // RUN: mlir-opt %s -linalg-bufferize -std-bufferize \ |
| // RUN: -tensor-constant-bufferize -tensor-bufferize -func-bufferize \ |
| // RUN: -finalizing-bufferize -buffer-deallocation -convert-linalg-to-llvm \ |
| // RUN: -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() { |
| %const = arith.constant dense<[[[[-3.9058,0.9072],[-2.9470,-2.2055],[18.3946,8.2997]],[[3.4700,5.9006],[-17.2267,4.9777],[1.0450,-0.8201]]],[[[17.6996,-11.1763],[26.7775,-3.8823],[-4.2492,-5.8966]],[[2.1259,13.1794],[-10.7136,0.8428],[16.4233,9.4589]]]]> : tensor<2x2x3x2xf32> |
| %dynamic = tensor.cast %const: tensor<2x2x3x2xf32> to tensor<2x?x?x?xf32> |
| %collapsed = call @collapse_dynamic_shape(%dynamic) : (tensor<2x?x?x?xf32>) -> (tensor<2x?x?xf32>) |
| %unranked = tensor.cast %collapsed: tensor<2x?x?xf32> to tensor<*xf32> |
| call @print_memref_f32(%unranked) : (tensor<*xf32>) -> () |
| // CHECK: Unranked Memref base@ = {{0x[-9a-f]*}} |
| // CHECK-SAME: rank = 3 offset = 0 sizes = [2, 6, 2] strides = [12, 2, 1] data = |
| // CHECK-NEXT{LITERAL}: [[[-3.9058, 0.9072], |
| // CHECK-NEXT: [-2.947, -2.2055], |
| // CHECK-NEXT: [18.3946, 8.2997], |
| // CHECK-NEXT: [3.47, 5.9006], |
| // CHECK-NEXT: [-17.2267, 4.9777], |
| // CHECK-NEXT: [1.045, -0.8201]], |
| // CHECK-NEXT{LITERAL}: [[17.6996, -11.1763], |
| // CHECK-NEXT: [26.7775, -3.8823], |
| // CHECK-NEXT: [-4.2492, -5.8966], |
| // CHECK-NEXT: [2.1259, 13.1794], |
| // CHECK-NEXT: [-10.7136, 0.8428], |
| // CHECK-NEXT: [16.4233, 9.4589]]] |
| return |
| } |
| |
| func private @print_memref_f32(%ptr : tensor<*xf32>) |
| |
| func @collapse_dynamic_shape(%arg0 : tensor<2x?x?x?xf32>) -> tensor<2x?x?xf32> { |
| %0 = linalg.tensor_collapse_shape %arg0 [[0], [1, 2], [3]]: tensor<2x?x?x?xf32> into tensor<2x?x?xf32> |
| return %0 : tensor<2x?x?xf32> |
| } |
