* add support for wrong dtype in apply_func
* apply loader resetting to possible collection of loaders
* add combined loader iter class
* integrate combined loader iter to training loop
* fix imports
* fix imports
* finish supporters
* add tests for supporters
* add test for model with multiple loaders
* fix trainer integration
* fix instance check
* Train loaders (#4032)
* patch for issues discussed in #1959, encapsulating underlying datastructures returned from train_dataloader
* update data_loading.py to it uses patch discussed in #1959
* rename class
* Separate CombinedLoaderIterator into two classes, and update related tests. (#4606)
* Fix the bugs after rebasing.
* Add custom get_len for apply_to_collection
* Refactor MultiIterator to be as CombinedLoaderIterator
* To get the right num_training_batches. Call the wrapper for multi trainloader in data_loading.py, instead of training_loop.py
* Reload _loader_iters when calling __iter__
* Don't transform DataLoader to CombinedLoaderIterator when it's along
* Updates test_fit_multiple_train_loaders for testing num_training_batches
* Seperate CombinedLoaderIterator into CombinedLoaderIterator and CombinedDataLoader. Add CombinedDataset for unified DataLoader format.
* Initialize CombinedDataLoader before calculating num_training_batches. Also updating self._worker_check for multiple loaders
* Update tests for supporters
* Update tests for multiple trainloaders. Add tests about few_workers for multiple loaders.
* Fix pep8 issues
* Add tests for train_loader_patch.py
* Add descriptions to multiple_trainloader_mode
* Remove unused variables
* Add docstrings and typing
* Add more tests for better converage
* Remove unused commented codes
* Add sampler property
* Remove extract_dataset
* Update typing
* pep8
* Update train_loader_patch.py
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Update pytorch_lightning/trainer/supporters.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* reviewer comments
* fix stupid import
* add docs
* add back line separator
* fix line sep
* pep8
* Apply suggestions from code review
* fix
* fix
* Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* Apply suggestions from code review
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
* flake8
Co-authored-by: Justus Schock <justusschock@justuss-mbp.fritz.box>
Co-authored-by: Christofer Fransson <christofer_fransson@yahoo.com>
Co-authored-by: YI-LIN SUNG <r06942076@ntu.edu.tw>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
* Added changes for RPC plugin
* Add missing kwargs
* Fix code format
* Loading refactors by introducing is_distributed var, fix optimizer step flow
* Add rpc guard
* Added docstrings and typing
* resolve comments
* Add additional rpc hook, refactor name of exit process hook for clarity
* remove annotation
* Modify behaviour to allow optional return, add test for rpc plugin
* resolve tests
* rename is_ddp_based
* update
* update for windows
* update
* resolve test
* code smell
* Revert back to init_ddp_connection for backwards compat
* Swap to explicit name for property
* Add missing speed parity increase for CI variability, fix call counts for child process
Co-authored-by: tchaton <thomas@grid.ai>
* added tests for multiple optimizers and dataloaders
* added tests for multiple optimizers and dataloaders
* added tests for multiple optimizers and dataloaders
* tpu device check
* replaced with xmp spawn
* Revert "replaced with xmp spawn"
This reverts commit 6835380f
* replaced all instances of XLA_AVAILABLE
* moved inner_f to global scope
* made refactors
* added changelog
* added TPU_AVAILABLE variable
* fix codefactor issues
* removed form trainer and early stopping
* add TORCHXLA_AVAILABLE check
* added tests
* refactoring
* Update pytorch_lightning/utilities/xla_device_utils.py
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* updated function names
* fixed bug
* updated CHANGELOG.md
* added todo
* added type hints
* isort and black
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
Co-authored-by: William Falcon <waf2107@columbia.edu>
* tests to ensure correct dataloading interval and sequence
* tests to ensure correct dataloading interval and sequence
* tests to ensure correct dataloading interval and sequence
* tests to ensure correct dataloading interval and sequence
* tests to ensure correct dataloading interval and sequence
* Fix shuffle for distributed sampler
* add test
* test
* chlog
* update test
* update test
* update test
* assertions via callback
* define callback outside for pickling
* skip ddp test on windows
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
* 🎨 warn instead of error out on loaders
* 🐛 test misconfiguration should still fail
* 🚧 .
* updated docs with new result obj
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* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
* updated docs with new result obj
Co-authored-by: William Falcon <waf2107@columbia.edu>
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* fix deprecation warnings
* added base tests for tpu
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* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
* added base tests for tpu
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Co-authored-by: Jirka <jirka@pytorchlightning.ai>
Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>