"NaN" s will be considered equal. Default: "False"
Examples:
  >>> torch.isclose(torch.tensor((1., 2, 3)), torch.tensor((1 + 1e-10, 3, 4)))
  tensor([ True, False, False])
  >>> torch.isclose(torch.tensor((float('inf'), 4)), torch.tensor((float('inf'), 6)), rtol=.5)
  tensor([True, True])
