Comments (6)
Hello,
This issue can sometimes be specific to the operating system. Could you please specify which system you're using? This repository was tested on Ubuntu, and knowing your system might help in diagnosing the problem.
Additionally, while addressing this issue, you might be interested in exploring JANUS, an algorithm that's known for its efficiency and improved performance in similar contexts (an improvement of this algorithm). Here's a link for more information and potential insights that might be relevant to your situation: https://github.com/aspuru-guzik-group/JANUS
Hope this helps and looking forward to your response regarding the system details! :)
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Hello,
This makes sense. Python's inherent parallelization capability, facilitated by multiprocessing, does not receive full support on Windows systems. Could you consider using a Linux-based system, such as Mac or Ubuntu, possibly on a cluster?
Alternatively, you could eliminate multiprocessing from the code, replacing it with for-loops. Be aware, though, that this change will result in slower execution than the current implementation.
You can also use Google Colab with JANUS (as the code in JANUS is pip-intallable) :)
Regards
Akshat
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Hi Peter,
Absolutely! Definitely make sure you understand the paper first, then, look at the discriminator implementation, along with specifically how it's used in the fitness evaluations.
Good luck! Feel free to re-open/create new issues if you have questions :)
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