File: test-elementwise.mlir

package info (click to toggle)
swiftlang 6.0.3-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 2,519,992 kB
  • sloc: cpp: 9,107,863; ansic: 2,040,022; asm: 1,135,751; python: 296,500; objc: 82,456; f90: 60,502; lisp: 34,951; pascal: 19,946; sh: 18,133; perl: 7,482; ml: 4,937; javascript: 4,117; makefile: 3,840; awk: 3,535; xml: 914; fortran: 619; cs: 573; ruby: 573
file content (23 lines) | stat: -rw-r--r-- 957 bytes parent folder | download | duplicates (2) 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
 
// RUN: mlir-opt %s -convert-elementwise-to-linalg \
// RUN: -arith-bufferize -linalg-bufferize -tensor-bufferize \
// RUN: -func-bufferize -buffer-deallocation -convert-linalg-to-loops \
// RUN: -convert-linalg-to-llvm --finalize-memref-to-llvm -convert-func-to-llvm \
// RUN: -reconcile-unrealized-casts | \
// RUN: mlir-cpu-runner -e main -entry-point-result=void \
// RUN:   -shared-libs=%mlir_runner_utils \
// RUN: | FileCheck %s

func.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 @printMemrefF32(%addf_unranked) : (tensor<*xf32>) -> ()
  // CHECK: Unranked Memref base@ = {{.*}} rank = 1 offset = 0 sizes = [3] strides = [1] data =
  // CHECK-NEXT: [11,  22,  33]

  return
}

func.func private @printMemrefF32(%ptr : tensor<*xf32>)