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This repository has been archived by the owner on Nov 28, 2023. It is now read-only.
The function _get_relevance of NeuralNet (that is called at each epoch) is really slow and takes up to a few hours on cartesius when training on 001-003 of BM5. In comparison the training during the epoch takes about 2 hours .This is due to the fact that for each molecule we open the hdf5, read the irmsd and close the hdf5. We could instead preload the irmsd during the data preprocessing when we create the indexing of the molecule.
In general I think we should pre-load all the class metrics we need when pre processing the data set before the first epoch
The text was updated successfully, but these errors were encountered:
The function
_get_relevance
ofNeuralNet
(that is called at each epoch) is really slow and takes up to a few hours on cartesius when training on 001-003 of BM5. In comparison the training during the epoch takes about 2 hours .This is due to the fact that for each molecule we open the hdf5, read the irmsd and close the hdf5. We could instead preload the irmsd during the data preprocessing when we create the indexing of the molecule.In general I think we should pre-load all the class metrics we need when pre processing the data set before the first epoch
The text was updated successfully, but these errors were encountered: