* fix(wandb): allow use of sweeps
overwrite run config parameters due to precision error
fix#1290
* docs(wandb): update changelog
* test(wandb): update config test
Co-authored-by: William Falcon <waf2107@columbia.edu>
* 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>
* The epoch was being logged to metrics, which isn't read, rather than to current_metrics.
* Updated the tests to account for the epoch arriving at the logger.
* Add tests for distributed backend config
* Refactor set_distributed_mode
* Use gloo backend on cpu
* Use 127.0.0.1 instead of 127.0.0.2
Not totally clear on why this is necessary, but it seemt to work
* Update LightningDDP so that it works with CPU
* Add ddp_cpu backend and num_processes Trainer arg
* PEP8
* Fix test skipping. Inequalities are hard :/
* Skip ddp_cpu test on Windows
* Make a few more cases fall back to ddp_cpu
* New function name
* Flake8
* Don't test distributed on MacOS with torch < 1.3
Support for distributed in MacOS was added in Torch 1.3.0
* Add ddp_cpu and num_processes to docs
* Parametrize trainer config tests
* Tweak warning
Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>
* Remove redundant test
* Replace pass branches with comments
* Add missing warnings import
* save_path -> root_dir
* Use new rank_zero_warn
* Whitespace
* Apply suggestions from code review
* formatting
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
* 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>
* Add automatic GPU choice to trainer
This commit adds the `gpu_choice` parameter to Trainer. By default,
this parameter is set to 'manual' which causes no observable
difference in behavior.
When `gpu_choice` is set to "auto" and `gpus` is an int, then the
trainer will automatically allocate the first available GPU.
This is especially useful when GPUs are configured to be in "exclusive
mode", which means that only one process at a time can use them.
* Rename gpu_choice -> auto_select_gpus
* 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>
* 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>
