Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
* Ensure we move the model to eval mode before running evaluation
* Ensure we set the flag appropriately across all stages
* Add test, move hooks logic
* Apply same fix to the validate loop
* Update pytorch_lightning/trainer/trainer.py
* Fix function name
* Fix order, add predict
* Shorten the name
* Fix input dm, drop duplicate on predict start hook call, as it's called in the setup function
* Use hook, remove double call
* Add context to call hook to handle all modules defined within the hook
* Expose some additional parameters
* Added docs, exposed parameters
* Make sure we only configure if necessary
* Setup activation checkpointing regardless, saves the user having to do it manually
* Add some tests that fail currently
* update
* update
* update
* add tests
* change docstring
* resolve accumulate_grad_batches
* resolve flake8
* Update DeepSpeed to use latest version, add some comments
* add metrics
* update
* Small formatting fixes, clean up some code
* Few cleanups
* No need for default state
* Fix tests, add some boilerplate that should move eventually
* Add hook removal
* Add a context manager to handle hook
* Small naming cleanup
* wip
* move save_checkpoint responsability to accelerator
* resolve flake8
* add BC
* Change recommended scale to 16
* resolve flake8
* update test
* update install
* update
* update test
* update
* update
* update test
* resolve flake8
* update
* update
* update on comments
* Push
* pull
* Update pytorch_lightning/plugins/training_type/deepspeed.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update pytorch_lightning/plugins/training_type/deepspeed.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* update
* Apply suggestions from code review
* Swap to using world size defined by plugin
* update
* update todo
* Remove deepspeed from extra, keep it in the base cuda docker install
* Push
* pull
* update
* update
* update
* update
* Minor changes
* duplicate
* format
* format2
Co-authored-by: SeanNaren <sean@grid.ai>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
* Add base hook for model parallel
* fix callback signature
* Simplify hook
* Add hook logic
* add tests
* add property setter
* add logic for being called once
* Update changelog
* Fix
* fix return type
* fix lambda callback test
* Fix tests
* Apply code suggestions
* add logic for setup_optimizers_predispatch
* add common dummy model
* Swap call order
* Remove test that isn't needed anymore
* Update tests
* Add a bit more doc
* Few code review fixes
* Update pytorch_lightning/accelerators/accelerator.py
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* Change hook name
* Fix test
* Test setup hook, refactor names
* Swap call order of callbacks and model initialization
* Change name of context manager
Co-authored-by: SeanNaren <sean@grid.ai>
Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* raise an exception if check_val_every_n_epoch is not an integer
* remove unused object
* add type hints
* add return type
* update exception message
* update exception message
* fix
* add simple test
* fix imports
* add changelog
* tighter test with on_fit_start hook closer to the dispatch call
* move class inside test f unction
* add a comment
* Update code
Co-authored-by: EliaCereda
* More property updates
* Move properties. Introduce trainer._fitting
* Use trainer.fitting
* Fix reset dataloaders
* Unused code
* RunningStage.SANITY_CHECKING
* Use setters
* Fix bugs
* Fix bugs
* TrainerState.{FITTING,VALIDATING,TESTING,PREDICTING,TUNING}
* Fix bugs
* Fix bugs
* Fix tests
* Update CHANGELOG. Add deprecation warning. Fix tests
* Unused imports
* Optional trainer
* More deprecation. More refactoring
* Correct version
* Use properties
* Address comments
* flake8
* Missed renamings
* Typo
* is -> ==
It is recommended to use for Enums since they are singletons, however, since the LightningEnum subclasses str, it's not a good idea in case a user sets the state/stage with a str
* Also for tests
* Typo
* Address @tchaton's comments
* PEP8
* Correct property
* Update CHANGELOG
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Remove called sanity check
Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Ethan Harris