Iter #10: tensor([[0.9985, 0.0015]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #20: tensor([[0.9983, 0.0017]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #30: tensor([[0.9976, 0.0024]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #40: tensor([[0.9978, 0.0022]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #50: tensor([[0.9983, 0.0017]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #60: tensor([[0.0051, 0.9949]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #70: tensor([[0.9984, 0.0016]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #80: tensor([[0.9828, 0.0172]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #90: tensor([[0.9968, 0.0032]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #100: tensor([[0.9985, 0.0015]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #110: tensor([[0.9874, 0.0126]], device='cuda:0', grad_fn=<SoftmaxBackward>)
