Iter #50: tensor([[0.3933, 0.6067],
        [0.5276, 0.4724],
        [0.4629, 0.5371],
        [0.4461, 0.5539],
        [0.4313, 0.5687],
        [0.3859, 0.6141],
        [0.5098, 0.4902],
        [0.4362, 0.5638],
        [0.4999, 0.5001],
        [0.4843, 0.5157],
        [0.5570, 0.4430],
        [0.4345, 0.5655]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #100: tensor([[0.5251, 0.4749],
        [0.4608, 0.5392],
        [0.5319, 0.4681],
        [0.5302, 0.4698],
        [0.4616, 0.5384],
        [0.5183, 0.4817],
        [0.4533, 0.5467],
        [0.4392, 0.5608],
        [0.4972, 0.5028],
        [0.4495, 0.5505],
        [0.5079, 0.4921],
        [0.5437, 0.4563]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #150: tensor([[0.5670, 0.4330],
        [0.5046, 0.4954],
        [0.5275, 0.4725],
        [0.4340, 0.5660],
        [0.5023, 0.4977],
        [0.3942, 0.6058],
        [0.4228, 0.5772],
        [0.4971, 0.5029],
        [0.4870, 0.5130],
        [0.4514, 0.5486],
        [0.3972, 0.6028],
        [0.5605, 0.4395]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #200: tensor([[0.6264, 0.3736],
        [0.6534, 0.3466],
        [0.4231, 0.5769],
        [0.3277, 0.6723],
        [0.5729, 0.4271],
        [0.5907, 0.4093],
        [0.5183, 0.4817],
        [0.5783, 0.4217],
        [0.3549, 0.6451],
        [0.4065, 0.5935],
        [0.6832, 0.3168],
        [0.7266, 0.2734]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #250: tensor([[0.4897, 0.5103],
        [0.5581, 0.4419],
        [0.4871, 0.5129],
        [0.5982, 0.4018],
        [0.6727, 0.3273],
        [0.6112, 0.3888],
        [0.4841, 0.5159],
        [0.5732, 0.4268],
        [0.6106, 0.3894],
        [0.6949, 0.3051],
        [0.3265, 0.6735],
        [0.3675, 0.6325]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #300: tensor([[0.2126, 0.7874],
        [0.6539, 0.3461],
        [0.3362, 0.6638],
        [0.5498, 0.4502],
        [0.3761, 0.6239],
        [0.7211, 0.2789],
        [0.4777, 0.5223],
        [0.1871, 0.8129],
        [0.5842, 0.4158],
        [0.5602, 0.4398],
        [0.4451, 0.5549],
        [0.5524, 0.4476]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #350: tensor([[0.5218, 0.4782],
        [0.4818, 0.5182],
        [0.5134, 0.4866],
        [0.5513, 0.4487],
        [0.5124, 0.4876],
        [0.2860, 0.7140],
        [0.5913, 0.4087],
        [0.4904, 0.5096],
        [0.5593, 0.4407],
        [0.4634, 0.5366],
        [0.2705, 0.7295],
        [0.5354, 0.4646]], device='cuda:0', grad_fn=<SoftmaxBackward>)
Iter #400: tensor([[0.4923, 0.5077],
        [0.5858, 0.4142],
        [0.1618, 0.8382],
        [0.6403, 0.3597],
        [0.5475, 0.4525],
        [0.3143, 0.6857],
        [0.5532, 0.4468],
        [0.5087, 0.4913],
        [0.5323, 0.4677],
        [0.5311, 0.4689],
        [0.2301, 0.7699],
        [0.5402, 0.4598]], device='cuda:0', grad_fn=<SoftmaxBackward>)
