* improved docs for callbacks
* class references
* make doctest pass
* doctests
* fix lines too long
* fix line too long
* fix permission error in doctest
* Apply suggestions from code review
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* fix doctest
* fix default
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* SA: for #958: set torch cuda device when finding root
* SA: for #958: removing root gpu hack in trainer/evaluation_loop
* SA: setting torch cuda device
* comment line too long
* check if root gpu exists or available
* Incorporating suggestions on #1094
* since root gpu returns none instead of -1 for cpu
* undo changes
* fixed dp memory thing
Co-authored-by: Shubham Agarwal <shubhamagarwal92@gmail.com>
* Allow reinits in sub procs
* Dont create an experiment on pickle, name, or project
* Comments consistency
* Fix test
* Apply suggestions from code review
Co-authored-by: Chris Van Pelt <vanpelt@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Make training_epoch_end behave like validation_epoch_end + minor fixes in docstrings.
* Minor fixes (Borda's comments).
* Detach tensors in batch_output (to avoid possible memory leak) + doc fix.
Co-authored-by: Jean-Baptiste SCHIRATTI <jean-baptisteschiratti@MacBook-Pro-de-Jean-Baptiste.local>
* show progress bar dependent on refresh_rate
* test progress_bar_refresh control show bar
* remove show_progress_bar from other tests
* borda fixes
* flake8 fix
* changelog update prog bar refresh rate
* move show_progress_bar to deprecated 0.9 api
* rm show_progress_bar references, test deprecated
* Update pytorch_lightning/trainer/__init__.py
* fix test
* changelog
* minor CHANGELOG.md format
* Update pytorch_lightning/trainer/__init__.py
* Update pytorch_lightning/trainer/trainer.py
Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu>
Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* removes need to unsqueeze from dp
* removes need to unsqueeze from dp
* fixed examples
* added auto unsqueeze
* added auto unsqueeze
* added auto unsqueeze
* added auto unsqueeze
* Update pytorch_lightning/overrides/data_parallel.py
Co-Authored-By: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
* fixed dp parse
* fixed dp parse
Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
* fixed extra dataloader bug
* Update pytorch_lightning/trainer/training_loop.py
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* updated CHANGELOG
* Small non-repetition change
self.get_model() => model as it was already defined
* Update CHANGELOG.md
* changed argument name to reload_train_dataloader_every_epoch
* fixed doc underline too short
* reverted to `reload_dataloaders_every_epoch`
* fixed val and test reloading
* fixed val and test reloading
Co-authored-by: TevenLeScao <teven.lescao@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* fix RunningMean
* changelog
* fix none
* Update supporters.py
just needed to multiply by zero for init
* Revert "Update supporters.py"
This reverts commit 7e0da6c6
* fix NaN
* formatting
Co-authored-by: William Falcon <waf2107@columbia.edu>
* added custom mnist without torchvision dep
* move files so it does not conflict with mnist gitignore
* mock torchvision for tests
* fix line too long
* fix line too long
* fix "module level import not at top of file" warning
* move mock imports to __init__.py
* simplify MNIST a lot and download directly the .pt files
* further simplify and clean up mnist
* revert import overrides
* make as before
* drop PIL requirement
* move mnist.py to datasets subfolder
* use logging instead of print
* choose same name as in torchvision
* remove torchvision and pillow also from yml file
* refactor if train
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* capitalized class attr
* moved mnist to models
* re-added datsets ignore
* better name for file variable
* Update mnist.py
* move dataset classes to datasets.py
* new line
* update
* update
* fix automerge
* move to base folder
* adapt testingmnist to new mnist base class
* remove temporal fix
* fix datatype
* remove old testingmnist
* readable
* fix import
* fix whitespace
* docstring
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* Update tests/base/datasets.py
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* changelog
* added types
* Update CHANGELOG.md
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* exist->isfile
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* index -> idx
* temporary fix for trains error
* better changelog message
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* adding test
* adding test
* added base parity model
* added base parity model
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* added parity test
* move parity to benchmark
* formatting
* fixed gradient acc sched
* move parity to benchmark
* formatting
* fixed gradient acc sched
* skip for CPU
* call last
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
