Can you please explain a difference between Tensor.clone() and Tensor.new_tensor()? According to the documentation, Tensor.new_tensor(x) = x.clone().detach(). Additionally, according to this post on the PyTorch forum 24 and this documentation page 61, x.clone() still maintains a connection with the computation graph of the original tensor (namely x). However, I am new to PyTorch and don’t quite understand how x.clone() interacts with the computation graph of x.