code: def test_alias_with_name_is_in_place(self):
      device = "cuda" if workspace.has_cuda_support else "cpu"
      x = torch.tensor([3.0, 42.0]).to(device=device)
      y = torch.ops._caffe2.AliasWithName(x, "new_name")
      x[1] = 6
      assert_allclose(x, torch.tensor([3.0, 6.0]).to(device=device))
      # y should also change because y is alias of x
      assert_allclose(y, torch.tensor([3.0, 6.0]).to(device=device))
  
imports: import struct
  import unittest
  import caffe2.python.hypothesis_test_util
  import hypothesis.strategies
  import numpy
  import torch
  from caffe2.python import core, workspace
  from hypothesis import given, settings
  from scipy.stats import norm
  from ._utils import assert_allclose
label_desc: Use image node_id 32 for calling the TorchIntegration obj's underlying member method code with example usage: obj.test_alias_with_name_is_in_place() without return types