AttributeError：‘DataLoader’ object has no attribute ‘size’

[Jihao-Li]

Hello, guys. When I run this command:
python main.py --network_type cnn --dataset cifar --controller_optim momentum --controller_lr_cosine=True --controller_lr_max 0.05 --controller_lr_min 0.0001 --entropy_coeff 0.1
I got a AttributeError：‘DataLoader’ object has no attribute ‘size’.
This is in 148 line in the utils.py. And 'Dataloader' object has no attribute 'narrow' and 'view'. The version of pytorch in my computer is 0.4.1. Is my version wrong?
Has anyone got any ideas for this problem?

[svjack]

Current Implementation seemed only support nlp example task (search construction of rnn cell)
the Trainer class now only accept dataset param as torch.Tensor class rather than DataLoader
and the doc string had elaborate it.
The structure search implementation class in shared_cnn.py not implement favor functions
consider update date of this project, should consider abandon this project.

[Jihao-Li]

OK! Thank you!

[svjack]

OK! Thank you!
I recommend you to try
https://github.com/renqianluo/NAO
it seems a mixture of current project and the official implemetation https://github.com/melodyguan/enas
except that it replaced RL learning optimize method by nlp seq2seq methods
if you prefer, You can try to fixed it into RL form.

[Jihao-Li]

      > OK! Thank you!

I recommend you to try
https://github.com/renqianluo/NAO
it seems a mixture of current project and the official implemetation https://github.com/melodyguan/enas
except that it replaced RL learning optimize method by nlp seq2seq methods
if you prefer, You can try to fixed it into RL form.

Thank you for your help. I will have a try.