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Sudoku experiment

See original GitHub issue

I tried running the sudoku example. My command line arguments are as follows:

python main.py --boardSz 2 --batchSz 100 --testBatchSz 100 --nEpoch 50 --testPct 0.1 --save SAVE --work 'work' optnet

I get errors arising from models.py:

TypeError: super() takes at least 1 argument (0 given)
> /home/robotec/Documents/NNs/optnet/sudoku/models.py(80)__init__()
     78     """ Solve a single SQP iteration of the scheduling problem"""
     79     def __init__(self, n, Qpenalty):
---> 80         super().__init__()
     81         nx = (n**2)**3
     82         self.Q = Variable(Qpenalty*torch.eye(nx).double().cuda())

ipdb>

Did I miss something?

Issue Analytics

State:
Created 7 years ago
Comments:8 (4 by maintainers)

Top GitHub Comments

1reaction

robotsorcerercommented, Apr 4, 2017

I know, haha! My problem size is a small adaptive control problem, not the gargantuan deep learning problems you guys solve 😃

1reaction

bamoscommented, Apr 4, 2017

Hi @lakehanne - oops, I accidentally made a typo in the CPU version of btrisolve that makes it throw this unimplemented error when it actually is implemented. I just fixed this in the pytorch source code and sent in a PR to their master branch: https://github.com/pytorch/pytorch/pull/1185.

Can you try again after re-compiling pytorch with this change added?

-Brandon.