1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
// RUN: mlir-opt %s -linalg-bufferize -std-bufferize \
// RUN: -tensor-constant-bufferize -tensor-bufferize -func-bufferize \
// RUN: -finalizing-bufferize \
// RUN: -convert-linalg-to-loops -convert-scf-to-std -convert-linalg-to-llvm -convert-memref-to-llvm -convert-std-to-llvm | \
// 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 = constant dense<[[[1.0, 2.0, 3.0], [2.0, 3.0, 4.0]]]> : tensor<1x2x3xf32>
%dynamic = tensor.cast %const: tensor<1x2x3xf32> to tensor<1x?x3xf32>
%offset = constant 2 : index
%cst = constant 2.3 : f32
%c0 = constant 0 : index
%out = linalg.pad_tensor %dynamic low[%c0, %offset, %c0] high[%c0, %c0, %offset] {
^bb0(%gen_arg1: index, %gen_arg2: index, %gen_arg3: index): // no predecessors
linalg.yield %cst : f32
} : tensor<1x?x3xf32> to tensor<1x?x?xf32>
%unranked = tensor.cast %out: tensor<1x?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 = [1, 4, 5] strides = [20, 5, 1] data =
// CHECK-NEXT{LITERAL}: [[[2.3, 2.3, 2.3, 2.3, 2.3],
// CHECK-NEXT: [2.3, 2.3, 2.3, 2.3, 2.3],
// CHECK-NEXT: [1, 2, 3, 2.3, 2.3],
// CHECK-NEXT: [2, 3, 4, 2.3, 2.3]]]
return
}
func private @print_memref_f32(%ptr : tensor<*xf32>)
|
