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To train the multi size images architecture, we need to either stop/restart the model every ~10 epochs, changing progressively the image size in the data loader.
Preferrably we would implement a pytorch hook to make this change automatically.
The text was updated successfully, but these errors were encountered:
Note: While doing multinode with slurm, we have to adjust num_tasks, num_workers while changing the chip_size, this was not trivial to implement, will skip this for now.
To train the multi size images architecture, we need to either stop/restart the model every ~10 epochs, changing progressively the image size in the data loader.
Preferrably we would implement a pytorch hook to make this change automatically.
The text was updated successfully, but these errors were encountered: