Hello guys,
i am trying to access an indexed tensor in the following way:

x = tr.tensor([True]*10, dtype=tr.bool)
y = tr.tensor([True]*10, dtype=tr.bool)

x[3]    = False
y[~x]   = False # works fine
x[y][3] = False # does not change the tensor x, but why?

Obviously the second indexing x[y][3] creates a copy of the tensor x[y], which is a little bit weird but ok. My question is how i can access the original tensor x?