The googlenet model on the torchvision exists on master branch.
I am using torchvision==0.2.3a0+ae81313 (latest master)
If I call googlenet model from  examples/imagenet/main.py is failed on following error.
Is there any way to solve this?
Traceback (most recent call last):
  File "examples/imagenet/main.py", line 417, in <module>
    main()
  File "examples/imagenet/main.py", line 113, in main
    main_worker(args.gpu, ngpus_per_node, args)
  File "examples/imagenet/main.py", line 239, in main_worker
    train(train_loader, model, criterion, optimizer, epoch, args)
  File "examples/imagenet/main.py", line 282, in train
    loss = criterion(output, target)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/loss.py", line 942, in forward
    ignore_index=self.ignore_index, reduction=self.reduction)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py", line 2056, in cross_entropy
    return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py", line 1350, in log_softmax
    ret = input.log_softmax(dim)
AttributeError: 'GoogLeNetOuputs' object has no attribute 'log_softmax'