code: # -*- Python -*-
  # This file is licensed under a pytorch-style license
  # See frontends/pytorch/LICENSE for license information.
  
  import torch
  import npcomp.frontends.pytorch as torch_mlir
  import npcomp.frontends.pytorch.test as test
  
  # RUN: %PYTHON %s | FileCheck %s
  
  dev = torch_mlir.mlir_device()
  t0 = torch.randn((4,4), device=dev)
  t1 = torch.randn((4,4), device=dev)
  
  t2 = t0 + t1
  
  #
  # Check the result tensor against the CPU
  #
  t0_cpu = t0.to('cpu')
  t1_cpu = t1.to('cpu')
  t2_cpu = t2.to('cpu')
  
  print (t0_cpu, " +\n", t1_cpu, " =\n", t2_cpu)
  
  # CHECK: PASS! add2 check
  test.compare(t2, t0_cpu + t1_cpu, "add2")
  
apis: torch.randn