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If num_predictions is set to some other value than 20, the code cannot find the .ckpt file on wandb due to static nature of given checkpoint filenames. Readme assumes that if wandb.run_id is given for a cloud run, then the checkpoint file is automatically found. According to readme, filepath is only required for local .ckpt files.
Particularly this can be changed to best-val_${module.num_predictions}ens_mems_ipol_avg_crps.ckpt
Thanks.
The text was updated successfully, but these errors were encountered:
Thank you for pointing this out! This is indeed is a bit annoying but you could always fix it by explicitly specifying diffusion.interpolator_wandb_ckpt_filename=<ckpt-filename-on-wandb>, where <ckpt-filename-on-wandb> could be something like "best-val_20ens_mems_ipol_avg_crps.ckpt" or "best-val_10ens_mems_ipol_avg_crps.ckpt" or any other ckpt that you want to use.
Particularly this can be changed to best-val_${module.num_predictions}ens_mems_ipol_avg_crps.ckpt
The suggested fix would become a problem when the number of predictions during testing (e.g. 50) is different than what was used to validate the interpolator during its training (by default 20). Feel free to suggest alternative approaches though (e.g. modify the code that finds the ckpt on wandb to be able to search amongst all ckpts on wandb).
Let me know if you face any issues or have more suggestions!
Hi,
If
num_predictions
is set to some other value than 20, the code cannot find the.ckpt
file on wandb due to static nature of given checkpoint filenames. Readme assumes that if wandb.run_id is given for a cloud run, then the checkpoint file is automatically found. According to readme, filepath is only required for local.ckpt
files.Particularly this can be changed to
best-val_${module.num_predictions}ens_mems_ipol_avg_crps.ckpt
Thanks.
The text was updated successfully, but these errors were encountered: