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when training finishes it hits the memory error #210
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did you find any solution |
Well, the training is working and the checkpoints are saved after every epoch (if improved) so the trained model is available. All that needs to be done is: cp experiment/checkpoints/unet/best.torch experiment/transformers/unet and then run the evaluation/prediction. So it is more of an inconvenience than a big problem. |
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Running train crashes when the pipelines are collating results from running transform on the entire dataset.
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