Fixing cross validation in parallel causing the run to freeze #33
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…om the output. This no fixes an issue where cross_validation would fail when using more workers
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When trying to run cross validation in parallel, I've noticed that the run would freeze and all the cores would be freed exactly at the end of the process. Following some testing I discovered that issue stemmed from the inclusion of torch tensor within the output data structure of __train_sp. To prevent this from happening again I first convert the tensors with best_model to numpy arrays and revert them to tensors after all the results have been pooled back together on one core.