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imagine using this and you refresh the formula without changing the sheet and it spits out a different value every time

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@eru@ice.cream.chitanda.moe Set temp to 0 and it will always give the same answers as long as the internal pytorch seed is the same I think

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@cross

Completely reproducible results are not guaranteed across PyTorch releases, individual commits, or different platforms. Furthermore, results may not be reproducible between CPU and GPU executions, even when using identical seeds.

until you send the sheet to a coworker and they run it on a different system, or you update pytorch

https://docs.pytorch.org/docs/stable/notes/randomness.html

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@eru@ice.cream.chitanda.moe ahhh rip. I guess theres too many variables of things that can change with the inner workings and python libraries and stuff to be able to give a super deterministic answer with a neural network.

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@eru Is this how the stock market works? awoothink
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