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BethanyL / DeepKoopman

neural networks to learn Koopman eigenfunctions

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Uses more and more RAM with each passing experiment

zomseffen opened this issue · comments

commented

I noticed that the training progress was using more and more RAM with each passing experiment.

After a quick search I found that this could be avoided by adding tf.reset_default_graph() at the end of the try_net method in the training.py .

With this change the code should be able to run on machines with way less available memory.

commented

Thanks! I don't know why I removed that line at some point!