new_contents: # third party
  import torch
  
  # syft absolute
  import syft as sy
  
  
  def torch_grad_test(client: sy.VirtualMachineClient) -> None:
      x = client.torch.Tensor([[1, 1], [1, 1]])
      x.requires_grad = True
      gt = client.torch.Tensor([[1, 1], [1, 1]]) * 16 - 0.5
  
      loss_fn = client.torch.nn.MSELoss()
  
      v = x + 2
      y = v ** 2
  
      loss = loss_fn(y, gt)
      loss.backward()
  
      assert x.grad.get().equal(torch.Tensor([[-19.5, -19.5], [-19.5, -19.5]]))
      assert x.data.get().equal(torch.Tensor([[1, 1], [1, 1]]))
  
subject: Test to prevent regression of .grad and .data on torch.Tensor (#5480)