* refactor and added hook
variant a
variant b
add test
revert rename
add changelog
docs
* resolve merge duplication
* overridden typo
* fix test
* tpu id
* raise if TPU not available
* re-use apply_to_collection function for parsing collections
* comment
* make utility function available to user
* documentation
* move changelog entry to top
* fix tpu transfer call
* fix call
* remove hardcoded string
* improve test
* call model hook by default
* Apply suggestions from code review
* rename utility function
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* use parallel loader
* Revert "use parallel loader"
This reverts commit ed6e7583
* select tpu id for pl
* condition if tpu_id is None
* added info to changelog
* Revert "condition if tpu_id is None"
This reverts commit 1fb6e586
* Apply suggestions from code review
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* Fix test configuration check and testing
* Fix test configuration check and testing
* Remove check_testing_configuration during test
* Fix docstring
* fix function name
* remove conflicts
* squash and rebase
sanity check hooks
sanity check callback hook finish
moved core progress bar functionality into callback
wip
remove duplicate merge
clean up
imports
docs
sanity check progress bar main
sanity
move callback calls
init progrss bar callback
configuration and docs
changelog
rate decorator
pass process_position
disable on rank > 0
position index
is_enabled
remove decorator
refactor init tqdm bars
callback method ordering
cannot reset when disabled
sequence -> list
default values
fix has no attr _time()
move on_val_end to proper place
fix the pickle issue
update warning
properties
check for None
remove old comment
switch order
pull out non-tqdm functionality into base class
documentation for the base class
docs
fix refresh rate issue in validation
restrict type hint of trainer arg
more docs
update trainer docs
rst docs
fix lines too long
fix test
add missing type hints
fix typo
move docstring to __init__ solves doctest failures
remove doctest :(( can't fix the pickle error
fix example
simplify by saving trainer reference
fix docs errors
move docstring
initial value
multiple val checks per epoch
simpler handling of inf dataset sizes
update inf docs
renamed training_tqdm_dict
rename get_tqdm_dict
rename occurences of tqdm
update changelog
fix doctest
fix formatting errors
added callback tests
progress bar on off test
more tests for progress bar
weird test fix?
add ignored property
disable default progress bar in LR finder
change enable/disable behavior
trying doctest in CI again
undo doctest pickle error
undo doctest pickle error :((
remove progress_bar_callback Trainer arg and fix tests
restore progress bar after auto lr find
update docs
fix rebase
fix wrong negation
* fix fast dev run total
* more thorough testing
* remove old args
* fix merge
* fix merge
* separate tests
* type hint total batches
* reduce if
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* is_disabled
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* is_enabled
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* rename enabled/disabled
* move deprecated api
* remove duplicated test from merge
* fix rename is_disabled
* newline
* test also testprogress for fast dev run
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* remove error when test dataloader used in test
* fix lost model reference
* remove error when test dataloader used in test
* fix lost model reference
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* moved optimizer types
* added tests for warning
* fix lost model reference
* fix lost model reference
* added tests for warning
* added tests for warning
* refactoring
* refactoring
* fix imports
* refactoring
* fix imports
* refactoring
* fix tests
* fix mnist
* flake8
* review
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* 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>
* 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>
* pylint
* model API
* update test
* formatting
* disable logger
* fix checking overwrite
* fix test
* typo
* deprecated model
* fix for DDP
* drop Flake8 in GH actions
* Update pytorch_lightning/trainer/evaluation_loop.py
* fix imports
Co-authored-by: Nic Eggert <nic@eggert.io>
* training_end renamed to training_step_end
* training_end renamed to training_step_end
* training_end renamed to training_step_end
* training_end renamed to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* fix lost model reference
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* training_end to training_step_end
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* enabled early stopping/checkpooiunt even without val step
* name formatting
* version
* testing
* add test
* fix test
* Update model_checkpoint.py
* doctests
* pylint
* tests
* debug
* debug
* enabled early stopping/checkpooiunt even without val step
* fix MNIST download (#1044)
* fix MNIST download
* simple
* name formatting
* version
* testing
* add test
* fix test
* doctests
* tests
* debug
* debug
* rebased 1041
* rebased 1041
* tests
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
* rebased 1041
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* consolidate callbacks and hooks
* ensure callbacks recieve proper arg types
* remove model from init callback events
* clean up early stopping event
* update changelog
* remove on_fit_start and on_fit_end
* fix args for on_init_start and on_init_end
* handle case where early stopping is not used
* show all callback methods
* wrap checkpoint callback logic into proper class
* fix check for main process in checkpoint callback
* move callbacks test to separate file
* refactor arg checks
* get model and call hook on same line
* define trainer_options dict in one call
* add more asserts to callback test
* Add callback system + associated test
* Add trainer and pl_module args to callback methods
* typing
* typo in docstring
* Switch to on_.*_start()
* fix on_test_start
* fix the mess after rebasing
* added get dataloaders directly using a getter
* deleted decorator
* added prepare_data hook
* refactored dataloader init
* refactored dataloader init
* added dataloader reset flag and main loop
* added dataloader reset flag and main loop
* added dataloader reset flag and main loop
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* made changes
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed bad loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixed error in .fit with loaders
* fixes#909
* fixes#909
* bug fix
* Fixes#902
* added tpu docs
* added tpu flags
* add tpu docs + init training call
* amp
* amp
* amp
* amp
* optimizer step
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* fix test pkg create (#873)
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* Update pytorch_lightning/trainer/trainer.py
Co-Authored-By: Luis Capelo <luiscape@gmail.com>
* Fix segmentation example (#876)
* removed torchvision model and added custom model
* minor fix
* Fixed relative imports issue
* Fix/typo (#880)
* Update greetings.yml
* Update greetings.yml
* Changelog (#869)
* Create CHANGELOG.md
* Update CHANGELOG.md
* Update CHANGELOG.md
* Update PULL_REQUEST_TEMPLATE.md
* Update PULL_REQUEST_TEMPLATE.md
* Add PR links to Version 0.6.0 in CHANGELOG.md
* Add PR links for Unreleased in CHANGELOG.md
* Update PULL_REQUEST_TEMPLATE.md
* Fixing Function Signatures (#871)
* added tpu docs
* added tpu flags
* add tpu docs + init training call
* amp
* amp
* amp
* amp
* optimizer step
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added auto data transfer to TPU
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
* added test return and print
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Luis Capelo <luiscape@gmail.com>
Co-authored-by: Akshay Kulkarni <akshayk.vnit@gmail.com>
Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk>
Co-authored-by: Shikhar Chauhan <xssChauhan@users.noreply.github.com>
* initial implementation
* formatting, pass through profiler, docstring
* call profiler during training
* add initial tests
* report stats when training is done
* fix formatting
* error handling, bugfix in passthroughprofiler
* finish documenting profiler arg in Trainer
* relax required precision for profiling tests
* option to dump cProfiler results to text file
* use logging, format with black
* include profiler in docs
* improved logging and better docs
* appease the linter
* better summaries, wrapper for iterables
* fix typo
* allow profiler=True creation
* more documentation
* add tests for advanced profiler
* Update trainer.py
* make profilers accessible in pl.utilities
* reorg profiler files
* change import for profiler tests
Co-authored-by: William Falcon <waf2107@columbia.edu>
* use tqdm.auto in trainer
This will import the ipywidgets version of tqdm if available. This works nicely in notebooks by not filling up the log.
In the terminal it will use the same old tqdm.
We might also want to consider passing in the tqdm we want as an argument since there may be some edge cases where ipywidgets is available but the interface doesn't support it (e.g. vscode?) or isn't working. In which case people will get a warning message, but may want to configure it themselves.
* use `from tqdm.auto` in eval loop
* indents
