Iter #50: tensor([-0.3782], device='cuda:0', grad_fn=<DivBackward0>)
Iter #100: tensor([-0.9353], device='cuda:0', grad_fn=<DivBackward0>)
Iter #150: tensor([-1.0439], device='cuda:0', grad_fn=<DivBackward0>)
Iter #200: tensor([-1.0929], device='cuda:0', grad_fn=<DivBackward0>)
Iter #250: tensor([-1.0826], device='cuda:0', grad_fn=<DivBackward0>)
Iter #300: tensor([-1.0923], device='cuda:0', grad_fn=<DivBackward0>)
Iter #350: tensor([-1.0937], device='cuda:0', grad_fn=<DivBackward0>)
Iter #400: tensor([-1.0988], device='cuda:0', grad_fn=<DivBackward0>)
Iter #450: tensor([-1.0930], device='cuda:0', grad_fn=<DivBackward0>)
Iter #500: tensor([-1.0843], device='cuda:0', grad_fn=<DivBackward0>)
Iter #550: tensor([-1.0978], device='cuda:0', grad_fn=<DivBackward0>)
Iter #600: tensor([-1.0973], device='cuda:0', grad_fn=<DivBackward0>)
Iter #650: tensor([-1.0959], device='cuda:0', grad_fn=<DivBackward0>)
Iter #700: tensor([-1.0970], device='cuda:0', grad_fn=<DivBackward0>)
Iter #750: tensor([-1.0952], device='cuda:0', grad_fn=<DivBackward0>)
Iter #800: tensor([-1.0985], device='cuda:0', grad_fn=<DivBackward0>)
Iter #850: tensor([-1.1028], device='cuda:0', grad_fn=<DivBackward0>)
Iter #900: tensor([-1.1000], device='cuda:0', grad_fn=<DivBackward0>)
Iter #950: tensor([-1.0848], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1000: tensor([-1.0966], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1050: tensor([-1.1020], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1100: tensor([-1.1030], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1150: tensor([-1.1020], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1200: tensor([-1.1007], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1250: tensor([-1.1004], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1300: tensor([-1.1043], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1350: tensor([-1.1029], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1400: tensor([-1.0983], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1450: tensor([-1.1039], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1500: tensor([-1.1048], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1550: tensor([-1.1026], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1600: tensor([-1.0975], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1650: tensor([-1.1052], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1700: tensor([-1.1027], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1750: tensor([-1.1039], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1800: tensor([-1.1017], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1850: tensor([-1.1056], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1900: tensor([-1.1046], device='cuda:0', grad_fn=<DivBackward0>)
Iter #1950: tensor([-1.1039], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2000: tensor([-1.1048], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2050: tensor([-1.1013], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2100: tensor([-1.1058], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2150: tensor([-1.1040], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2200: tensor([-1.1053], device='cuda:0', grad_fn=<DivBackward0>)
Iter #2250: tensor([-1.1004], device='cuda:0', grad_fn=<DivBackward0>)
