Comments (6)
Update: We are trying to see if we can provide an environment image that is "ready to go" for training with CentOS. I will get back to you once I know the outcome of our efforts.
from melting-pot-contest-2023.
I managed to build dmlab2d from source for CentOS 7. The build wheels and dockerfile to reproduce can be found here:
https://github.com/brenting/dmlab2d-wheels
from melting-pot-contest-2023.
Currently dmlab2d only has wheels (and hence pypi exposure) for Linux and MacOS.
You can always build it from scratch for your platform but understandably it is hard to do.
I can ask the dmlab2d maintainers to see if they can get CentOS wheels but cannot promise on this one as that is a separate dependency.
In the meantime, I suggest you to also connect with us on discord where there is another such request related to Windows. So we will post updates there as and if new wheels become available.
from melting-pot-contest-2023.
Update: We are trying to see if we can provide an environment image that is "ready to go" for training with CentOS. I will get back to you once I know the outcome of our efforts.
Thanks! looking forward to see the CentOS version.
from melting-pot-contest-2023.
I am running into the same issue. It also seems that building dmlab2d from source is not possible at the moment:
google-deepmind/lab2d#33
from melting-pot-contest-2023.
It is possible, just needs to be done manually. There are instructions in that thread, and some better documentation might be coming soon.
from melting-pot-contest-2023.
Related Issues (17)
- assert i == len(f), f AssertionError: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] HOT 1
- M1 MacOS support HOT 3
- Shape error HOT 4
- TensorFlow GPU Detection Issue in WSL2 HOT 3
- Contributing towards additional baselines/tutorials resources HOT 1
- Where is "params.json" required by "render_models.py" HOT 1
- resume training based on restored checkpoint
- Is there faster way to see scenario evaluation than generating video? HOT 2
- bugs when running the training code HOT 4
- Issue with running training code with torch HOT 2
- NaN episode rewards during baseline training HOT 5
- Error in Clean Up Human Player Mode HOT 2
- Error when running run_ray_train.py HOT 1
- Faced to issues when follow the guidelines in this rep to evaluate .
- Training ended unexpected.
- Evaluation doesn't show results for al_harvest and clean_up substrates, and unable to get evaluation working when use_attention is True
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from melting-pot-contest-2023.