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It seems that neuralop refactored some of their internal data structures, so checkpoints that were trained with version 0.2.0 are not loading when using neuralop's main branch. This may only be the case when using the tuckerized version... 🤷 Not terrible, can just set 0.2.0 as the version w/ conda, but would be nice to work with later versions.
There may be a way to convert the checkpoints to the new version. Probably easiest to ask them in an issue instead.
The text was updated successfully, but these errors were encountered:
could also just condition the imports on the version of neuraloperator. Just require version 0.2.0 for reproducibility and running the old checkpoints, and try to use the most recent version for anything else.
It seems that neuralop refactored some of their internal data structures, so checkpoints that were trained with version 0.2.0 are not loading when using neuralop's main branch. This may only be the case when using the tuckerized version... 🤷 Not terrible, can just set 0.2.0 as the version w/ conda, but would be nice to work with later versions.
There may be a way to convert the checkpoints to the new version. Probably easiest to ask them in an issue instead.
The text was updated successfully, but these errors were encountered: