torch.Tensor.tolist
Tensor.tolist() -> list or number
Returns the tensor as a (nested) list. For scalars, a standard
   Python number is returned, just like with "item()". Tensors are
   automatically moved to the CPU first if necessary.
This operation is not differentiable.
Examples:
  >>> a = torch.randn(2, 2)
  >>> a.tolist()
  [[0.012766935862600803, 0.5415473580360413],
   [-0.08909505605697632, 0.7729271650314331]]
  >>> a[0,0].tolist()
  0.012766935862600803
