Iter #10: tensor([[0.6242, 0.3758]], grad_fn=<SoftmaxBackward>)
Iter #20: tensor([[0.6230, 0.3770]], grad_fn=<SoftmaxBackward>)
Iter #30: tensor([[0.6234, 0.3766]], grad_fn=<SoftmaxBackward>)
Iter #40: tensor([[0.5986, 0.4014]], grad_fn=<SoftmaxBackward>)
Iter #50: tensor([[0.5783, 0.4217]], grad_fn=<SoftmaxBackward>)
Iter #60: tensor([[0.6447, 0.3553]], grad_fn=<SoftmaxBackward>)
Iter #70: tensor([[0.5802, 0.4198]], grad_fn=<SoftmaxBackward>)
Iter #80: tensor([[0.6336, 0.3664]], grad_fn=<SoftmaxBackward>)
Iter #90: tensor([[0.6290, 0.3710]], grad_fn=<SoftmaxBackward>)
Iter #100: tensor([[0.6027, 0.3973]], grad_fn=<SoftmaxBackward>)
Iter #110: tensor([[0.6078, 0.3922]], grad_fn=<SoftmaxBackward>)
Iter #120: tensor([[0.6115, 0.3885]], grad_fn=<SoftmaxBackward>)
Iter #130: tensor([[0.6077, 0.3923]], grad_fn=<SoftmaxBackward>)
Iter #140: tensor([[0.6311, 0.3689]], grad_fn=<SoftmaxBackward>)
Iter #150: tensor([[0.6256, 0.3744]], grad_fn=<SoftmaxBackward>)
Iter #160: tensor([[0.5973, 0.4027]], grad_fn=<SoftmaxBackward>)
Iter #170: tensor([[0.6540, 0.3460]], grad_fn=<SoftmaxBackward>)
Iter #180: tensor([[0.6275, 0.3725]], grad_fn=<SoftmaxBackward>)
Iter #190: tensor([[0.6324, 0.3676]], grad_fn=<SoftmaxBackward>)
Iter #200: tensor([[0.5915, 0.4085]], grad_fn=<SoftmaxBackward>)
Iter #210: tensor([[0.6141, 0.3859]], grad_fn=<SoftmaxBackward>)
Iter #220: tensor([[0.6085, 0.3915]], grad_fn=<SoftmaxBackward>)
Iter #230: tensor([[0.6138, 0.3862]], grad_fn=<SoftmaxBackward>)
Iter #240: tensor([[0.6287, 0.3713]], grad_fn=<SoftmaxBackward>)
Iter #250: tensor([[0.5971, 0.4029]], grad_fn=<SoftmaxBackward>)
