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Validation Memory Leakage for RecurrentBased models with Pytorch 2.0 / PL 2.0 #513

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kdgutier opened this issue Apr 7, 2023 · 0 comments · Fixed by #512
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Validation Memory Leakage for RecurrentBased models with Pytorch 2.0 / PL 2.0 #513

kdgutier opened this issue Apr 7, 2023 · 0 comments · Fixed by #512
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kdgutier commented Apr 7, 2023 •
edited

It seems there is a memory leakage for RecurrentBased type of models RNN, GRU, TCN with Pytorch 2.0 / PL 2.0

It is possible there is more information in the PL github: Lightning-AI/pytorch-lightning#16520
That deprecated the on_validation_epoch_end method.

This issue was partially solved by reducing the memory usage of the models to avoid surpassing RAM.
As the interaction between multiprocess and virtual memory seems to be causing the problem.
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Fix MLP/Recurrent-based memory inference complications Nixtla/neuralforecast
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@kdgutier @cchallu