This repository has been archived by the owner on Mar 21, 2024. It is now read-only.
This repository has been archived by the owner on Mar 21, 2024. It is now read-only.
Make updates to avoid lightning deprecation warnings #751
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Description
openedon Jun 22, 2022
🚀 Feature
Update packages and/or InnerEye code, so as not to have lightning deprecation warnings.
Motivation
When running the InnerEye code (commit b42043f), the following deprecation warnings are issued:
pytorch_lightning/callbacks/model_checkpoint.py:244: LightningDeprecationWarning: `ModelCheckpoint(every_n_val_epochs)` is deprecated in v1.4 and will be removed in v1.6. Please use `every_n_epochs` instead.
pytorch_lightning/core/lightning.py:399: LightningDeprecationWarning: `self.log(sync_dist_op='mean')` is deprecated and will be removed in v.1.6. Use `self.log(reduce_fx=mean)` instead.
pytorch_lightning/loggers/base.py:337: LightningDeprecationWarning: `LightningLoggerBase.close` method is deprecated in v1.5 and will be removed in v1.7. Please use `LightningLoggerBase.finalize` instead.
Pitch
It would be nice if packages and/or code could be updated so as to avoid the deprecation warnings - and to be future ready :)
Alternatives
There's probably a way of switching off the warnings, but addressing them would be better than hiding them.
Additional context
The deprecation warnings can be obtained by running the HelloWorld model, as outlined in README.md:
export PYTHONPATH=`pwd`
python InnerEye/ML/runner.py --model=HelloWorld
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