Iter #10: tensor([[0.8360, 0.1640]], grad_fn=<SoftmaxBackward>)
Iter #20: tensor([[0.9103, 0.0897]], grad_fn=<SoftmaxBackward>)
Iter #30: tensor([[0.9835, 0.0165]], grad_fn=<SoftmaxBackward>)
Iter #40: tensor([[0.9881, 0.0119]], grad_fn=<SoftmaxBackward>)
Iter #50: tensor([[0.9638, 0.0362]], grad_fn=<SoftmaxBackward>)
Iter #60: tensor([[0.9819, 0.0181]], grad_fn=<SoftmaxBackward>)
Iter #70: tensor([[0.9937, 0.0063]], grad_fn=<SoftmaxBackward>)
Iter #80: tensor([[0.9016, 0.0984]], grad_fn=<SoftmaxBackward>)
Iter #90: tensor([[0.9589, 0.0411]], grad_fn=<SoftmaxBackward>)
Iter #100: tensor([[0.9845, 0.0155]], grad_fn=<SoftmaxBackward>)
Iter #110: tensor([[0.4576, 0.5424]], grad_fn=<SoftmaxBackward>)
Iter #120: tensor([[0.9711, 0.0289]], grad_fn=<SoftmaxBackward>)
Iter #130: tensor([[0.9911, 0.0089]], grad_fn=<SoftmaxBackward>)
Iter #140: tensor([[0.9651, 0.0349]], grad_fn=<SoftmaxBackward>)
Iter #150: tensor([[0.9628, 0.0372]], grad_fn=<SoftmaxBackward>)
Iter #160: tensor([[0.9912, 0.0088]], grad_fn=<SoftmaxBackward>)
Iter #170: tensor([[0.2004, 0.7996]], grad_fn=<SoftmaxBackward>)
Iter #180: tensor([[0.0116, 0.9884]], grad_fn=<SoftmaxBackward>)
Iter #190: tensor([[0.9862, 0.0138]], grad_fn=<SoftmaxBackward>)
