So, it seems  to depend on k:
>>> print(torch.topk(x, 2, sorted=False).indices == torch.topk(x, 2, sorted=True).indices)
tensor([[True, True],
        [True, True],
        [True, True],
        [True, True],
        [True, True]], device='cuda:0')