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mlindauer avatar mlindauer commented on May 22, 2024

I can reproduce the issue on my machine with a freshly installed conda environment.

from auto-pytorch.

mlindauer avatar mlindauer commented on May 22, 2024
 conda create -n autopytorch python pip
 source activate autopytorch
 git clone https://github.com/automl/Auto-PyTorch.git
 cd Auto-PyTorch/
 conda install pytorch-cpu -c pytorch
 pip install -r requirements.txt 
 python setup.py install
 cat README.md 
 vi test.py
 python test.py

with running the example from the README

from auto-pytorch.

urbanmatthias avatar urbanmatthias commented on May 22, 2024

Hi,

we forgot to check if cuda is available in predict(). My last commit should fix this issue.

Cheers,

Matthias

from auto-pytorch.

KEggensperger avatar KEggensperger commented on May 22, 2024

Yes, now it works! Still, the final incumbent has cuda=True, but feel free to close this issue for now.

from auto-pytorch.

urbanmatthias avatar urbanmatthias commented on May 22, 2024

The dictionary containing cuda=True is not the final incumbent, but the settings Auto-PyTorch has been started with (Hyperparameters of Auto-PyTorch).

It was not possible to set the default value of cuda to cuda.is_available(), because that caused problems with pynisher. It seems to be impossible to call cuda methods from different processes.

So we chose to set the default of cuda to True and then disable it, if it is not available.

from auto-pytorch.

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