Hey guys, so I am trying to optimize a stats learning model but not nn object, or put it in this way: can pytorch optimize any objective function with respect to its parameters? e.g.
x = torch.randn(500) obj = x.T@x + torch.log(torch.abs(x)).sum + x
Now can I optimize
obj with respect to
x? Bother giving an example? Thanks.