Iter #50: tensor([-0.3571], device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([-0.8887], device='cuda:0', grad_fn=<DivBackward0>)
Iter #150: tensor([-1.0199], device='cuda:0', grad_fn=<DivBackward0>)
Iter #200: tensor([-1.0227], device='cuda:0', grad_fn=<DivBackward0>)
Iter #250: tensor([-1.0421], device='cuda:0', grad_fn=<DivBackward0>)
Iter #300: tensor([-1.0415], device='cuda:0', grad_fn=<DivBackward0>)
Iter #350: tensor([-1.0508], device='cuda:0', grad_fn=<DivBackward0>)
Iter #400: tensor([-1.0479], device='cuda:0', grad_fn=<DivBackward0>)
Iter #450: tensor([-1.0502], device='cuda:0', grad_fn=<DivBackward0>)
Iter #500: tensor([-1.0504], device='cuda:0', grad_fn=<DivBackward0>)
Iter #550: tensor([-1.0527], device='cuda:0', grad_fn=<DivBackward0>)
Iter #50: tensor([-1.0543], device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([-1.0534], device='cuda:0', grad_fn=<DivBackward0>)
Iter #150: tensor([-1.0558], device='cuda:0', grad_fn=<DivBackward0>)
Iter #200: tensor([-1.0555], device='cuda:0', grad_fn=<DivBackward0>)
Iter #250: tensor([-1.0561], device='cuda:0', grad_fn=<DivBackward0>)
Iter #300: tensor([-1.0553], device='cuda:0', grad_fn=<DivBackward0>)
Iter #350: tensor([-1.0571], device='cuda:0', grad_fn=<DivBackward0>)
Iter #400: tensor([-1.0569], device='cuda:0', grad_fn=<DivBackward0>)
Iter #450: tensor([-1.0582], device='cuda:0', grad_fn=<DivBackward0>)
Iter #500: tensor([-1.0591], device='cuda:0', grad_fn=<DivBackward0>)
Iter #550: tensor([-1.0575], device='cuda:0', grad_fn=<DivBackward0>)
Iter #50: tensor([-1.0579], device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([-1.0590], device='cuda:0', grad_fn=<DivBackward0>)
Iter #150: tensor([-1.0596], device='cuda:0', grad_fn=<DivBackward0>)
Iter #200: tensor([-1.0583], device='cuda:0', grad_fn=<DivBackward0>)
Iter #250: tensor([-1.0599], device='cuda:0', grad_fn=<DivBackward0>)
Iter #300: tensor([-1.0608], device='cuda:0', grad_fn=<DivBackward0>)
Iter #350: tensor([-1.0613], device='cuda:0', grad_fn=<DivBackward0>)
Iter #400: tensor([-1.0601], device='cuda:0', grad_fn=<DivBackward0>)
Iter #450: tensor([-1.0602], device='cuda:0', grad_fn=<DivBackward0>)
Iter #500: tensor([-1.0615], device='cuda:0', grad_fn=<DivBackward0>)
Iter #550: tensor([-1.0594], device='cuda:0', grad_fn=<DivBackward0>)
Iter #50: tensor([-1.0607], device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([-1.0603], device='cuda:0', grad_fn=<DivBackward0>)
Iter #150: tensor([-1.0613], device='cuda:0', grad_fn=<DivBackward0>)
Iter #200: tensor([-1.0609], device='cuda:0', grad_fn=<DivBackward0>)
Iter #250: tensor([-1.0611], device='cuda:0', grad_fn=<DivBackward0>)
Iter #300: tensor([-1.0618], device='cuda:0', grad_fn=<DivBackward0>)
Iter #350: tensor([-1.0622], device='cuda:0', grad_fn=<DivBackward0>)
Iter #400: tensor([-1.0617], device='cuda:0', grad_fn=<DivBackward0>)
