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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
2020-02-17 13:09:11 +00:00
# Changelog
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
continue (#2450)
2020-07-01 12:35:51 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
## [unreleased] - YYYY-MM-DD
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Added
revamp entire metrics (#3868) * removed metric Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * added new metrics Co-authored-by: Teddy Koker teddy.koker@gmail.com * pep8 Co-authored-by: Teddy Koker teddy.koker@gmail.com * pep8 Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * reset in compute, cache compute Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * reduce_ops handling Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * sync -> sync_dist, type annotations Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * wip docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * mean squared error * docstring * added mean ___ error metrics * added mean ___ error metrics * seperated files * accuracy doctest * gpu fix * remove unnecessary mixin * metric and accuracy docstring Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * metric docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * pep8, changelog Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * refactor dist utils, pep8 * refactor dist utils, pep8 Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-06 21:03:24 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Changed
Enable PyTorch 1.7 in conda CI (#3541) * enable pt 1.7 * readme * nightly diff version testing, will delete later * nightly diff version testing, will delete later * back to normal [ci skip] * use __ignored_properties__ * define __ignored_properties__ in respective modules * change log * formatting Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-09-25 14:20:15 +00:00
to_torchscript method for LightningModule (#3258) * script * docs * simple test * move test * fix doctest * no grad context * extend tests test test * datamodule test * clean up test * docs * name * fix import * update changelog * fix import * skip pytorch 1.3 in test * update codeblock * skip bugged 1.4 * typehints * doctest not working on all pytorch versions * rename TestGAN to prevent pytest interference * add note about pytorch version * fix torchscript version inconsistency in tests * reset training state + tests * update docstring * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * update docstring, dict return * add docs to index * add link * doc eval mode * forward * optional save to file path * optional * test torchscript device * test save load with file path * pep * str * Commit typing suggestion Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * skip test if cuda not available Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2020-09-03 18:24:44 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Deprecated
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
[Metrics] class based embedding similarity + tests (#3358) * embedding similarity class + test * fix tests * fix pep8 * add docs * noindex * Update docs/source/metrics.rst * Update pytorch_lightning/metrics/self_supervised.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/metrics/self_supervised.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * suggestions * changes to init * move __all__ * fix imports * Apply suggestions from code review * assert typo * change import Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-09-11 10:11:50 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Removed
[Metrics] Class reduction similar to sklearn (#3322) * new class reduce interface * update docs * pep8 * update_class_metrics * fix doctest * changelog * fix docs * fix codefactor * fix codefactor * formatting * fix typo * fix typo * typo pr -> per * update from suggestion * fix error * Apply suggestions from code review * Update CHANGELOG.md * formatting * timeouts * docstring formatting for reg metrics * pep * flake8 * revert workflow changes * suggestions Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-15 12:36:14 +00:00
Allow ModelCheckpoint monitor to be None (#3633) * Fix ModelCheckpoint period * Test for less epochs
2020-09-25 13:54:04 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Fixed
Bugfix/update trainer properties (#3975) * make current_epoch and global_step to be same as trainer, after model restore. * remove assignment here * test * minor modification * merge with parent's master * [bug-fix]: update trainer properties * minor comment fix * minor comment fix * reset train loader in `on_train_epoch_start` hook * makes sure the changes work * minor chane * update changelog * adding unit test for reload_dataloaders_every_epoch arg * modified changelog, to add PR number * revert imports * changes to unit test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-08 14:20:55 +00:00
- Fixed `current_epoch` property update to reflect true epoch number inside `LightningDataModule`, when `reload_dataloaders_every_epoch=True`. ([#3974](https://github.com/PyTorchLightning/pytorch-lightning/issues/3974))
disable optimizers setup during testing (#3059) * disable configure_optimizers during testing * minor changes * hvd and ddp * fix precision during testing * fix ddp * fix amp * fix cpu * update dp * simplify optimizers * add test * codefactor * ref optimizer setup * chlog * suggestions * isort * rebased with master
2020-09-28 23:09:04 +00:00
Support checkpoint hooks on data module (#3563) * Split out changes from #3563 to make that PR easier to review. This formats the file according to the Black formatter * Store a reference to the trainer on the datamodule Fixes #3682 * Update data_connector.py * Update data_connector.py * Update test_datamodules.py * Split out changes from #3563 to make that PR easier to review. This formats the file according to the Black formatter * support checkpoint hooks for datamodule refactor on_{save/load}_checkpoint to a separate hook class that both the lightning module and data module inherit add spots in callback connector to call new datamodule hooks if available * hooks formatting * Update hooks.py * Update checkpoint_connector.py * Update lightning.py * update based on upstream/master checkout upstream/master * Update checkpoint_connector.py * add tests * undo format revert * Updated CHANGELOG.md * add checkpoint hooks * add Dict type * import CheckpointHooks
2020-09-29 17:51:44 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
## [0.10.0] - 2020-10-07
Add datamodule parameter to lr_find() (#3425) * Add datamodule parameter to lr_find() * Fixed missing import * Move datamodule parameter to end * Add datamodule parameter test with auto_lr_find * Change test for datamodule parameter * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Fix lr_find documentation Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * formatting * Add description to datamodule param in lr_find * pep8: remove trailing whitespace on line 105 * added changelog Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-01 08:33:12 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Added
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
- Added new Metrics API. ([#3868](https://github.com/PyTorchLightning/pytorch-lightning/pull/3868), [#3921](https://github.com/PyTorchLightning/pytorch-lightning/pull/3921))
- Enable PyTorch 1.7 compatibility ([#3541](https://github.com/PyTorchLightning/pytorch-lightning/pull/3541))
- Added `LightningModule.to_torchscript` to support exporting as `ScriptModule` ([#3258](https://github.com/PyTorchLightning/pytorch-lightning/pull/3258/))
- Added warning when dropping unpicklable `hparams` ([#2874](https://github.com/PyTorchLightning/pytorch-lightning/pull/2874))
- Added EMB similarity ([#3349](https://github.com/PyTorchLightning/pytorch-lightning/pull/3349))
- Added `ModelCheckpoint.to_yaml` method ([#3048](https://github.com/PyTorchLightning/pytorch-lightning/pull/3048))
- Allow `ModelCheckpoint` monitor to be `None`, meaning it will always save ([#3630](https://github.com/PyTorchLightning/pytorch-lightning/pull/3630))
- Disabled optimizers setup during testing ([#3059](https://github.com/PyTorchLightning/pytorch-lightning/pull/3059))
- Added support for datamodules to save and load checkpoints when training ([#3563](https://github.com/PyTorchLightning/pytorch-lightning/pull/3563))
- Added support for datamodule in learning rate finder ([#3425](https://github.com/PyTorchLightning/pytorch-lightning/pull/3425))
- Added gradient clip test for native AMP ([#3754](https://github.com/PyTorchLightning/pytorch-lightning/pull/3754))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added dist lib to enable syncing anything across devices ([#3762](https://github.com/PyTorchLightning/pytorch-lightning/pull/3762))
added broadcast option to tpu (#3814) * added broadcast option to tpu * add device * moved tpu broadcast to tpu_backend * removed Lightning dist * decode bytes * pep8 fix * fix bug * test for broadcast * updated changelog
2020-10-04 11:47:33 +00:00
- Added `broadcast` to `TPUBackend` ([#3814](https://github.com/PyTorchLightning/pytorch-lightning/pull/3814))
Added check to verify xla device is TPU (#3274) * 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>
2020-10-06 17:54:37 +00:00
- Added `XLADeviceUtils` class to check XLA device type ([#3274](https://github.com/PyTorchLightning/pytorch-lightning/pull/3274))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Changed
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Refactored accelerator backends:
* moved TPU `xxx_step` to backend ([#3118](https://github.com/PyTorchLightning/pytorch-lightning/pull/3118))
* refactored DDP backend `forward` ([#3119](https://github.com/PyTorchLightning/pytorch-lightning/pull/3119))
* refactored GPU backend `__step` ([#3120](https://github.com/PyTorchLightning/pytorch-lightning/pull/3120))
* refactored Horovod backend ([#3121](https://github.com/PyTorchLightning/pytorch-lightning/pull/3121),
[#3122](https://github.com/PyTorchLightning/pytorch-lightning/pull/3122))
* remove obscure forward call in eval + CPU backend `___step` ([#3123](https://github.com/PyTorchLightning/pytorch-lightning/pull/3123))
* reduced all simplified forward ([#3126](https://github.com/PyTorchLightning/pytorch-lightning/pull/3126))
* added hook base method ([#3127](https://github.com/PyTorchLightning/pytorch-lightning/pull/3127))
* refactor eval loop to use hooks - use `test_mode` for if so we can split later ([#3129](https://github.com/PyTorchLightning/pytorch-lightning/pull/3129))
* moved `___step_end` hooks ([#3130](https://github.com/PyTorchLightning/pytorch-lightning/pull/3130))
* training forward refactor ([#3134](https://github.com/PyTorchLightning/pytorch-lightning/pull/3134))
* training AMP scaling refactor ([#3135](https://github.com/PyTorchLightning/pytorch-lightning/pull/3135))
* eval step scaling factor ([#3136](https://github.com/PyTorchLightning/pytorch-lightning/pull/3136))
* add eval loop object to streamline eval loop ([#3138](https://github.com/PyTorchLightning/pytorch-lightning/pull/3138))
* refactored dataloader process hook ([#3139](https://github.com/PyTorchLightning/pytorch-lightning/pull/3139))
* refactored inner eval loop ([#3141](https://github.com/PyTorchLightning/pytorch-lightning/pull/3141))
* final inner eval loop hooks ([#3154](https://github.com/PyTorchLightning/pytorch-lightning/pull/3154))
* clean up hooks in `run_evaluation` ([#3156](https://github.com/PyTorchLightning/pytorch-lightning/pull/3156))
* clean up data reset ([#3161](https://github.com/PyTorchLightning/pytorch-lightning/pull/3161))
* expand eval loop out ([#3165](https://github.com/PyTorchLightning/pytorch-lightning/pull/3165))
* moved hooks around in eval loop ([#3195](https://github.com/PyTorchLightning/pytorch-lightning/pull/3195))
* remove `_evaluate` fx ([#3197](https://github.com/PyTorchLightning/pytorch-lightning/pull/3197))
* `Trainer.fit` hook clean up ([#3198](https://github.com/PyTorchLightning/pytorch-lightning/pull/3198))
* DDPs train hooks ([#3203](https://github.com/PyTorchLightning/pytorch-lightning/pull/3203))
* refactor DDP backend ([#3204](https://github.com/PyTorchLightning/pytorch-lightning/pull/3204),
[#3207](https://github.com/PyTorchLightning/pytorch-lightning/pull/3207),
[#3208](https://github.com/PyTorchLightning/pytorch-lightning/pull/3208),
[#3209](https://github.com/PyTorchLightning/pytorch-lightning/pull/3209),
[#3210](https://github.com/PyTorchLightning/pytorch-lightning/pull/3210))
* reduced accelerator selection ([#3211](https://github.com/PyTorchLightning/pytorch-lightning/pull/3211))
* group prepare data hook ([#3212](https://github.com/PyTorchLightning/pytorch-lightning/pull/3212))
* added data connector ([#3285](https://github.com/PyTorchLightning/pytorch-lightning/pull/3285))
* modular is_overridden ([#3290](https://github.com/PyTorchLightning/pytorch-lightning/pull/3290))
* adding `Trainer.tune()` ([#3293](https://github.com/PyTorchLightning/pytorch-lightning/pull/3293))
* move `run_pretrain_routine` -> `setup_training` ([#3294](https://github.com/PyTorchLightning/pytorch-lightning/pull/3294))
* move train outside of setup training ([#3297](https://github.com/PyTorchLightning/pytorch-lightning/pull/3297))
* move `prepare_data` to data connector ([#3307](https://github.com/PyTorchLightning/pytorch-lightning/pull/3307))
* moved accelerator router ([#3309](https://github.com/PyTorchLightning/pytorch-lightning/pull/3309))
* train loop refactor - moving train loop to own object ([#3310](https://github.com/PyTorchLightning/pytorch-lightning/pull/3310),
[#3312](https://github.com/PyTorchLightning/pytorch-lightning/pull/3312),
[#3313](https://github.com/PyTorchLightning/pytorch-lightning/pull/3313),
[#3314](https://github.com/PyTorchLightning/pytorch-lightning/pull/3314))
* duplicate data interface definition up into DataHooks class ([#3344](https://github.com/PyTorchLightning/pytorch-lightning/pull/3344))
* inner train loop ([#3359](https://github.com/PyTorchLightning/pytorch-lightning/pull/3359),
[#3361](https://github.com/PyTorchLightning/pytorch-lightning/pull/3361),
[#3362](https://github.com/PyTorchLightning/pytorch-lightning/pull/3362),
[#3363](https://github.com/PyTorchLightning/pytorch-lightning/pull/3363),
[#3365](https://github.com/PyTorchLightning/pytorch-lightning/pull/3365),
[#3366](https://github.com/PyTorchLightning/pytorch-lightning/pull/3366),
[#3367](https://github.com/PyTorchLightning/pytorch-lightning/pull/3367),
[#3368](https://github.com/PyTorchLightning/pytorch-lightning/pull/3368),
[#3369](https://github.com/PyTorchLightning/pytorch-lightning/pull/3369),
[#3370](https://github.com/PyTorchLightning/pytorch-lightning/pull/3370),
[#3371](https://github.com/PyTorchLightning/pytorch-lightning/pull/3371),
[#3372](https://github.com/PyTorchLightning/pytorch-lightning/pull/3372),
[#3373](https://github.com/PyTorchLightning/pytorch-lightning/pull/3373),
[#3374](https://github.com/PyTorchLightning/pytorch-lightning/pull/3374),
[#3375](https://github.com/PyTorchLightning/pytorch-lightning/pull/3375),
[#3376](https://github.com/PyTorchLightning/pytorch-lightning/pull/3376),
[#3385](https://github.com/PyTorchLightning/pytorch-lightning/pull/3385),
[#3388](https://github.com/PyTorchLightning/pytorch-lightning/pull/3388),
[#3397](https://github.com/PyTorchLightning/pytorch-lightning/pull/3397))
* all logging related calls in a connector ([#3395](https://github.com/PyTorchLightning/pytorch-lightning/pull/3395))
* device parser ([#3400](https://github.com/PyTorchLightning/pytorch-lightning/pull/3400),
[#3405](https://github.com/PyTorchLightning/pytorch-lightning/pull/3405))
* added model connector ([#3407](https://github.com/PyTorchLightning/pytorch-lightning/pull/3407))
* moved eval loop logging to loggers ([#3408](https://github.com/PyTorchLightning/pytorch-lightning/pull/3408))
* moved eval loop (#3412[#3408](https://github.com/PyTorchLightning/pytorch-lightning/pull/3408))
* trainer/separate argparse ([#3421](https://github.com/PyTorchLightning/pytorch-lightning/pull/3421),
[#3428](https://github.com/PyTorchLightning/pytorch-lightning/pull/3428),
[#3432](https://github.com/PyTorchLightning/pytorch-lightning/pull/3432))
* move `lr_finder` ([#3434](https://github.com/PyTorchLightning/pytorch-lightning/pull/3434))
* organize args (#[#3435](https://github.com/PyTorchLightning/pytorch-lightning/pull/3435),
[#3442](https://github.com/PyTorchLightning/pytorch-lightning/pull/3442),
[#3447](https://github.com/PyTorchLightning/pytorch-lightning/pull/3447),
[#3448](https://github.com/PyTorchLightning/pytorch-lightning/pull/3448),
[#3449](https://github.com/PyTorchLightning/pytorch-lightning/pull/3449),
[#3456](https://github.com/PyTorchLightning/pytorch-lightning/pull/3456))
* move specific accelerator code ([#3457](https://github.com/PyTorchLightning/pytorch-lightning/pull/3457))
* group connectors ([#3472](https://github.com/PyTorchLightning/pytorch-lightning/pull/3472))
* accelerator connector methods x/n ([#3469](https://github.com/PyTorchLightning/pytorch-lightning/pull/3469),
[#3470](https://github.com/PyTorchLightning/pytorch-lightning/pull/3470),
[#3474](https://github.com/PyTorchLightning/pytorch-lightning/pull/3474))
* merge backends x/n ([#3476](https://github.com/PyTorchLightning/pytorch-lightning/pull/3476),
[#3477](https://github.com/PyTorchLightning/pytorch-lightning/pull/3477),
[#3478](https://github.com/PyTorchLightning/pytorch-lightning/pull/3478),
[#3480](https://github.com/PyTorchLightning/pytorch-lightning/pull/3480),
[#3482](https://github.com/PyTorchLightning/pytorch-lightning/pull/3482))
* apex plugin ([#3502](https://github.com/PyTorchLightning/pytorch-lightning/pull/3502))
* precision plugins ([#3504](https://github.com/PyTorchLightning/pytorch-lightning/pull/3504))
* Result - make monitor default to `checkpoint_on` to simplify ([#3571](https://github.com/PyTorchLightning/pytorch-lightning/pull/3571))
* reference to the Trainer on the `LightningDataModule` ([#3684](https://github.com/PyTorchLightning/pytorch-lightning/pull/3684))
* add `.log` to lightning module ([#3686](https://github.com/PyTorchLightning/pytorch-lightning/pull/3686),
[#3699](https://github.com/PyTorchLightning/pytorch-lightning/pull/3699),
[#3701](https://github.com/PyTorchLightning/pytorch-lightning/pull/3701),
[#3704](https://github.com/PyTorchLightning/pytorch-lightning/pull/3704),
[#3715](https://github.com/PyTorchLightning/pytorch-lightning/pull/3715))
* enable tracking original metric when step and epoch are both true ([#3685](https://github.com/PyTorchLightning/pytorch-lightning/pull/3685))
* deprecated results obj, added support for simpler comms ([#3681](https://github.com/PyTorchLightning/pytorch-lightning/pull/3681))
* move backends back to individual files ([#3712](https://github.com/PyTorchLightning/pytorch-lightning/pull/3712))
* fixes logging for eval steps ([#3763](https://github.com/PyTorchLightning/pytorch-lightning/pull/3763))
* decoupled DDP, DDP spawn ([#3733](https://github.com/PyTorchLightning/pytorch-lightning/pull/3733),
[#3766](https://github.com/PyTorchLightning/pytorch-lightning/pull/3766),
[#3767](https://github.com/PyTorchLightning/pytorch-lightning/pull/3767),
[#3774](https://github.com/PyTorchLightning/pytorch-lightning/pull/3774),
[#3802](https://github.com/PyTorchLightning/pytorch-lightning/pull/3802),
[#3806](https://github.com/PyTorchLightning/pytorch-lightning/pull/3806))
* remove weight loading hack for ddp_cpu ([#3808](https://github.com/PyTorchLightning/pytorch-lightning/pull/3808))
* separate `torchelastic` from DDP ([#3810](https://github.com/PyTorchLightning/pytorch-lightning/pull/3810))
* separate SLURM from DDP ([#3809](https://github.com/PyTorchLightning/pytorch-lightning/pull/3809))
* decoupled DDP2 ([#3816](https://github.com/PyTorchLightning/pytorch-lightning/pull/3816))
* bug fix with logging val epoch end + monitor ([#3812](https://github.com/PyTorchLightning/pytorch-lightning/pull/3812))
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
* decoupled DDP, DDP spawn ([#3733](https://github.com/PyTorchLightning/pytorch-lightning/pull/3733),
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
[#3817](https://github.com/PyTorchLightning/pytorch-lightning/pull/3817),
[#3819](https://github.com/PyTorchLightning/pytorch-lightning/pull/3819),
[#3927](https://github.com/PyTorchLightning/pytorch-lightning/pull/3927))
* callback system and init DDP ([#3836](https://github.com/PyTorchLightning/pytorch-lightning/pull/3836))
* adding compute environments ([#3837](https://github.com/PyTorchLightning/pytorch-lightning/pull/3837), [#3842](https://github.com/PyTorchLightning/pytorch-lightning/pull/3842))
* epoch can now log independently ([#3843](https://github.com/PyTorchLightning/pytorch-lightning/pull/3843))
* test selecting the correct backend. temp backends while slurm and TorchElastic are decoupled ([#3848](https://github.com/PyTorchLightning/pytorch-lightning/pull/3848))
* fixed `init_slurm_connection` causing hostname errors ([#3856](https://github.com/PyTorchLightning/pytorch-lightning/pull/3856))
* moves init apex from LM to apex connector ([#3923](https://github.com/PyTorchLightning/pytorch-lightning/pull/3923))
* moves sync bn to each backend ([#3925](https://github.com/PyTorchLightning/pytorch-lightning/pull/3925))
* moves configure ddp to each backend ([#3924](https://github.com/PyTorchLightning/pytorch-lightning/pull/3924))
- Deprecation warning ([#3844](https://github.com/PyTorchLightning/pytorch-lightning/pull/3844))
Changed LearningRateLogger to LearningRateMonitor (#3251) * Change LearningRateLogger to LearningRateMonitor * file rename * docs * add LearningRateLogger with deprecation warning * deprecated LearningRateLogger * move deprecation check * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-03 18:17:15 +00:00
- Changed `LearningRateLogger` to `LearningRateMonitor` ([#3251](https://github.com/PyTorchLightning/pytorch-lightning/pull/3251))
use fsspec instead of gfile for all IO (#3320) * use fsspec instead of gfile for all IO This better supports remote (and local) file operations with a dedicated package * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-03 12:19:20 +00:00
- Used `fsspec` instead of `gfile` for all IO ([#3320](https://github.com/PyTorchLightning/pytorch-lightning/pull/3320))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Swaped `torch.load` for `fsspec` load in DDP spawn backend ([#3787](https://github.com/PyTorchLightning/pytorch-lightning/pull/3787))
* Swaped `torch.load` for `fsspec` load in cloud_io loading ([#3692](https://github.com/PyTorchLightning/pytorch-lightning/pull/3692))
Update to_disk to use fsspec for remote file support (#3930) * Update supporters.py * Update CHANGELOG.md * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-07 11:28:23 +00:00
* Added support for `to_disk()` to use remote filepaths with `fsspec` ([#3930](https://github.com/PyTorchLightning/pytorch-lightning/pull/3930))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Updated model_checkpoint's to_yaml to use `fsspec` open ([#3801](https://github.com/PyTorchLightning/pytorch-lightning/pull/3801))
* Fixed `fsspec` is inconsistant when doing `fs.ls` ([#3805](https://github.com/PyTorchLightning/pytorch-lightning/pull/3805))
Refactor GPUStatsMonitor to improve training speed (#3257) * Refactor GPUMonitor to improve training speed * added gpu ids to monitor * update tests * added deprecation warning * pep * fix test * fix docs * fix log_gpu_memory * move deprecation check * chlog * Update CHANGELOG.md * suggestions and fix Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-09-04 10:02:16 +00:00
- Refactor `GPUStatsMonitor` to improve training speed ([#3257](https://github.com/PyTorchLightning/pytorch-lightning/pull/3257))
Fix IoU score for classes not present in target or pred (#3098) * Fix IoU score for classes not present in target or pred Fixes #3097 - Allow configurable not_present_score for IoU for classes not present in target or pred. Defaults to 1.0. - Also allow passing `num_classes` parameter through from iou metric class down to its underlying functional iou call. * Changelog: move IoU not-present score fix to [unreleased] * IoU: avoid recomputing class presence in target and pred Use already-computed support, true positives, and false positives to determine if a class is not present in either target or pred. * Test IoU against sklearn jaccard_score Also add TODO to test our IoU's not_present_score against sklearn's jaccard_score's zero_division when it beecomes available. * IoU: remove_bg -> ignore_index Fixes #2736 - Rename IoU metric argument from `remove_bg` -> `ignore_index`. - Accept an optional int class index to ignore, instead of a bool and instead of always assuming the background class has index 0. - If given, ignore the class index when computing the IoU output, regardless of reduction method. * Improve documentation for IoU not_present_score * Update default IoU not_present_score to 0.0 * Add note about IoU division by zero * Rename IoU not_present_score -> absent_score * Update IoU absent score changelog wording * Condense IoU absent_score argument docstring * Remove unnecessary IoU ignore_index comment * docstrings * isort * flake8 * Fix test of IoU against sklearn jaccard Use macro instead of micro averaging in sklearn's jaccard score, to match multi-class IoU, which conventionally takes per-class scores before averaging. Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-17 08:37:49 +00:00
- Changed IoU score behavior for classes absent in target and pred ([#3098](https://github.com/PyTorchLightning/pytorch-lightning/pull/3098))
- Changed IoU `remove_bg` bool to `ignore_index` optional int ([#3098](https://github.com/PyTorchLightning/pytorch-lightning/pull/3098))
change default save_top_k, save_last to None (#3680) * topk default * fix test that doesn't have best available * remove print * #3680 changes * fix backward * temp revert te * add warning by carmocca * format docstring for test * specify monitor in ES test with top k * improve docstring for save_last * remove commented lines * revert passing model to test * undo regex mistake * changelog * fix test covering case monitor=None and savetopk=-1 * docstring * fix test for saving all checkpoints * don't save checkpoints for save_top_k=0 * add test for savetopk=0 Co-authored-by @carmocca Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2020-09-28 00:05:02 +00:00
- Changed defaults of `save_top_k` and `save_last` to `None` in ModelCheckpoint ([#3680](https://github.com/PyTorchLightning/pytorch-lightning/pull/3680))
log/save_interval based on global step (#3667) * log interval based on global step * test * test * test * test * pep * pep * added changelog * pep * merge * remove unused arg
2020-09-30 10:26:27 +00:00
- `row_log_interval` and `log_save_interval` are now based on training loop's `global_step` instead of epoch-internal batch index ([#3667](https://github.com/PyTorchLightning/pytorch-lightning/pull/3667))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Silenced some warnings. verified ddp refactors ([#3483](https://github.com/PyTorchLightning/pytorch-lightning/pull/3483))
- Cleaning up stale logger tests ([#3490](https://github.com/PyTorchLightning/pytorch-lightning/pull/3490))
- Allow `ModelCheckpoint` monitor to be `None` ([#3633](https://github.com/PyTorchLightning/pytorch-lightning/pull/3633))
- Enable `None` model checkpoint default ([#3669](https://github.com/PyTorchLightning/pytorch-lightning/pull/3669))
- Skipped `best_model_path` if `checkpoint_callback` is `None` ([#2962](https://github.com/PyTorchLightning/pytorch-lightning/pull/2962))
- Used `raise .. from ..` to explicitly chain exceptions ([#3750](https://github.com/PyTorchLightning/pytorch-lightning/pull/3750))
- Mocking loggers ([#3596](https://github.com/PyTorchLightning/pytorch-lightning/pull/3596),
[#3617](https://github.com/PyTorchLightning/pytorch-lightning/pull/3617),
[#3851](https://github.com/PyTorchLightning/pytorch-lightning/pull/3851),
[#3859](https://github.com/PyTorchLightning/pytorch-lightning/pull/3859),
[#3884](https://github.com/PyTorchLightning/pytorch-lightning/pull/3884),
[#3853](https://github.com/PyTorchLightning/pytorch-lightning/pull/3853),
[#3910](https://github.com/PyTorchLightning/pytorch-lightning/pull/3910),
[#3889](https://github.com/PyTorchLightning/pytorch-lightning/pull/3889),
[#3926](https://github.com/PyTorchLightning/pytorch-lightning/pull/3926))
- Write predictions in LightningModule instead of EvalResult [#3882](https://github.com/PyTorchLightning/pytorch-lightning/pull/3882)
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Deprecated
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated `TrainResult` and `EvalResult`, use `self.log` and `self.write` from the `LightningModule` to log metrics and write predictions. `training_step` can now only return a scalar (for the loss) or a dictionary with anything you want. ([#3681](https://github.com/PyTorchLightning/pytorch-lightning/pull/3681))
- Deprecate `early_stop_callback` Trainer argument ([#3845](https://github.com/PyTorchLightning/pytorch-lightning/pull/3845))
Rename log_save_interval, row_log_interval (#3748) * Rename row_log_interval -> log_every_n_steps log_save_interval -> flush_logs_every_n_steps * Changelog * fixed title underline length * typo * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * pep8 + deprecation test * 'todo: remove in 1.1 comment' * 1.1 -> 0.11 * log * docs * depr API * add depr tests * note * miss Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-10-06 14:27:06 +00:00
- Rename Trainer arguments `row_log_interval` >> `log_every_n_steps` and `log_save_interval` >> `flush_logs_every_n_steps` ([#3748](https://github.com/PyTorchLightning/pytorch-lightning/pull/3748))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Removed
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Removed experimental Metric API ([#3868](https://github.com/PyTorchLightning/pytorch-lightning/pull/3868),
[#3943](https://github.com/PyTorchLightning/pytorch-lightning/pull/3943),
[#3949](https://github.com/PyTorchLightning/pytorch-lightning/pull/3949),
[#3946](https://github.com/PyTorchLightning/pytorch-lightning/pull/3946)), listed changes before final removal:
* Added `EmbeddingSimilarity` metric ([#3349](https://github.com/PyTorchLightning/pytorch-lightning/pull/3349), [#3358](https://github.com/PyTorchLightning/pytorch-lightning/pull/3358))
* Added hooks to metric module interface ([#2528](https://github.com/PyTorchLightning/pytorch-lightning/pull/2528))
* Added error when AUROC metric is used for multiclass problems ([#3350](https://github.com/PyTorchLightning/pytorch-lightning/pull/3350))
* Fixed `ModelCheckpoint` with `save_top_k=-1` option not tracking the best models when a monitor metric is available ([#3735](https://github.com/PyTorchLightning/pytorch-lightning/pull/3735))
* Fixed counter-intuitive error being thrown in `Accuracy` metric for zero target tensor ([#3764](https://github.com/PyTorchLightning/pytorch-lightning/pull/3764))
* Fixed aggregation of metrics ([#3517](https://github.com/PyTorchLightning/pytorch-lightning/pull/3517))
* Fixed Metric aggregation ([#3321](https://github.com/PyTorchLightning/pytorch-lightning/pull/3321))
* Fixed RMSLE metric ([#3188](https://github.com/PyTorchLightning/pytorch-lightning/pull/3188))
* Renamed `reduction` to `class_reduction` in classification metrics ([#3322](https://github.com/PyTorchLightning/pytorch-lightning/pull/3322))
* Changed `class_reduction` similar to sklearn for classification metrics ([#3322](https://github.com/PyTorchLightning/pytorch-lightning/pull/3322))
* Renaming of precision recall metric ([#3308](https://github.com/PyTorchLightning/pytorch-lightning/pull/3308))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Fixed
Fix `on_train_batch_start` hook to end epoch early (#3700) * init * add test * changelog and docs * fix test * Apply suggestion from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-02 19:46:46 +00:00
- Fixed `on_train_batch_start` hook to end epoch early ([#3700](https://github.com/PyTorchLightning/pytorch-lightning/pull/3700))
Fix num_sanity_val_steps is clipped to limit_val_batches (#2917) * Fix num_sanity_val_steps according to limit_val_steps * fix test * add num_sanity_batches * pep * update docstring in test * add more test * chlog * update comments and docstring in test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <adrian.waelchli@inf.unibe.ch> Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
2020-08-21 18:11:31 +00:00
- Fixed `num_sanity_val_steps` is clipped to `limit_val_batches` ([#2917](https://github.com/PyTorchLightning/pytorch-lightning/pull/2917))
fix ONNX model save on GPU (#3145) * added to(device) * added test * fix test on gpu * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * remove multi gpu check Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * updated message * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * updated test * onxx to onnx * Update pytorch_lightning/core/lightning.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update tests/models/test_onnx.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add no grad Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add isinstance back * chlog * error is input_sample is not Tensor Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-26 16:22:19 +00:00
- Fixed ONNX model save on GPU ([#3145](https://github.com/PyTorchLightning/pytorch-lightning/pull/3145))
Fix GpuUsageLogger to work on different platforms (#3008) * Fix GpuUsageLogger * docstrings * misconfigexception * add basic tests * skip doctest * fix parameter and docstring * rm cl * skip doctest * cleanup * chlog * add suggestions from review * add test from suggestions * fix import * fix test * fix test * fix test * fix test * rename GpuUsageLogger to GPUStatsMonitor * doc fix * Apply suggestions from code review * update docs format * update docs * miss * merge * fix title formatting * unindent * punctuation * simplify if statements * fix test * suggestions * pep * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * fix on_train_batch_* * use AttributeDict * usage * rank zero Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * import * minor changes Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <adrian.waelchli@inf.unibe.ch> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-27 17:50:32 +00:00
- Fixed `GpuUsageLogger` to work on different platforms ([#3008](https://github.com/PyTorchLightning/pytorch-lightning/pull/3008))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed auto-scale batch size not dumping `auto_lr_find` parameter ([#3151](https://github.com/PyTorchLightning/pytorch-lightning/pull/3151))
- Fixed `batch_outputs` with optimizer frequencies ([#3229](https://github.com/PyTorchLightning/pytorch-lightning/pull/3229))
update batch size in DataModule when auto scaling batch size (#3266) * fix datamodule hasattr * fix patch check * fix setattr * update docs * revert patch fix * changelog * fix datamodule passed in as fit arg * docs * set datamodule batch size in lightning_setattr * fix merge * check with has_attr * access datamodule via trainer * pass fit args down to tuner * docs * fix typos in docs Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-09-03 20:07:49 +00:00
- Fixed setting batch size in `LightningModule.datamodule` when using `auto_scale_batch_size` ([#3266](https://github.com/PyTorchLightning/pytorch-lightning/pull/3266))
Added check for apex AMP and unit tests for Horovod + AMP (#3404) * Added check for apex AMP and unit tests for Horovod + AMP * Changelog * Fixed order of Horovod and Apex optimizer wrapping
2020-09-09 00:30:57 +00:00
- Fixed Horovod distributed backend compatibility with native AMP ([#3404](https://github.com/PyTorchLightning/pytorch-lightning/pull/3404))
limit auto scaling batch size to the size of the training dataset (#3271) * fix * fix and test * fix merge error * test for max dataset size * changelog * update docs * fix merge * unused imports * imports
2020-09-09 08:51:43 +00:00
- Fixed batch size auto scaling exceeding the size of the dataset ([#3271](https://github.com/PyTorchLightning/pytorch-lightning/pull/3271))
Get experiment_id from MLFlow only once instead of each training loop (#3394) * Get experiment_id from MLFlow only once instead of each training loop. * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add test that asserts mlflow client is called to retrieve experiment id only once * make pep8 happy * logs Co-authored-by: Patrick Orlando <patrick.orlando@rea-group.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-09 09:38:26 +00:00
- Fixed getting `experiment_id` from MLFlow only once instead of each training loop ([#3394](https://github.com/PyTorchLightning/pytorch-lightning/pull/3394))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `overfit_batches` which now correctly disables shuffling for the training loader. ([#3501](https://github.com/PyTorchLightning/pytorch-lightning/pull/3501))
fix gradient norm tracking for row_log_interval > 1 (#3489) * fix + test * changelog * Apply suggestions from code review Co-authored-by: Tim Chard <timchard@hotmail.com> * improve test Co-authored-by: Tim Chard <timchard@hotmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-09-15 16:41:27 +00:00
- Fixed gradient norm tracking for `row_log_interval > 1` ([#3489](https://github.com/PyTorchLightning/pytorch-lightning/pull/3489))
Fix ModelCheckpoints name formatting (#3163) * Fix ModelCheckpoint's name formatting * Fix failing tests * Add dot to CHECKPOINT_SUFFIX * Set variables to their default values at the end of tests * Fix logic for filepath='' and filename=None. Add test * Fix Windows tests * Fix typo. Remove leading line break and zeroes * Remove CHECKPOINT_SUFFIX * Fix typos. Use appropriate f-string format * Apply suggestions from code review * Fix broken tests after #3320 * Finish changes suggested by Borda * Use explicit test var names * Apply suggestions Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update CHANGELOG * Apply suggestions from code review * for * prepend whitespace in warn msg 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>
2020-09-18 21:09:11 +00:00
- Fixed `ModelCheckpoint` name formatting ([3164](https://github.com/PyTorchLightning/pytorch-lightning/pull/3163))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed auto-scale batch size ([#3151](https://github.com/PyTorchLightning/pytorch-lightning/pull/3151))
- Fixed example implementation of AutoEncoder ([#3190](https://github.com/PyTorchLightning/pytorch-lightning/pull/3190))
- Fixed invalid paths when remote logging with TensorBoard ([#3236](https://github.com/PyTorchLightning/pytorch-lightning/pull/3236))
- Fixed change `t()` to `transpose()` as XLA devices do not support `.t()` on 1-dim tensor ([#3252](https://github.com/PyTorchLightning/pytorch-lightning/pull/3252))
- Fixed (weights only) checkpoints loading without PL ([#3287](https://github.com/PyTorchLightning/pytorch-lightning/pull/3287))
- Fixed `gather_all_tensors` cross GPUs in DDP ([#3319](https://github.com/PyTorchLightning/pytorch-lightning/pull/3319))
- Fixed CometML save dir ([#3419](https://github.com/PyTorchLightning/pytorch-lightning/pull/3419))
- Fixed forward key metrics ([#3467](https://github.com/PyTorchLightning/pytorch-lightning/pull/3467))
- Fixed normalize mode at confusion matrix (replace NaNs with zeros) ([#3465](https://github.com/PyTorchLightning/pytorch-lightning/pull/3465))
- Fixed global step increment in training loop when `training_epoch_end` hook is used ([#3673](https://github.com/PyTorchLightning/pytorch-lightning/pull/3673))
Fix overfit_batches > 0 on distributed_backend = "ddp" (#3534) * example * ex * example * sampler * fix * fix * remove example * changelog
2020-09-19 23:00:58 +00:00
- Fixed dataloader shuffling not getting turned off with `overfit_batches > 0` and `distributed_backend = "ddp"` ([#3534](https://github.com/PyTorchLightning/pytorch-lightning/pull/3534))
Fix deterministic behavior in ddp_spawn (#3573) * docs * set env variable * fix * changelog
2020-09-20 23:42:58 +00:00
- Fixed determinism in `DDPSpawnBackend` when using `seed_everything` in main process ([#3335](https://github.com/PyTorchLightning/pytorch-lightning/pull/3335))
Fix val_progress_bar total with num_sanity_val_steps (#3751) * Fix val_progress_bar total with num_sanity_val_steps * chlog * Fix val_progress_bar total with num_sanity_val_steps * move test * replaced with sanity flag and suggestions
2020-10-04 12:32:18 +00:00
- Fixed `ModelCheckpoint` `period` to actually save every `period` epochs ([#3630](https://github.com/PyTorchLightning/pytorch-lightning/pull/3630))
- Fixed `val_progress_bar` total with `num_sanity_val_steps` ([#3751](https://github.com/PyTorchLightning/pytorch-lightning/pull/3751))
add current_epoch to dumped_params (#3261) * add current epoch to __dumped_params * log * reset * add to test * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-06 17:54:48 +00:00
- Fixed Tuner dump: add `current_epoch` to dumped_params ([#3261](https://github.com/PyTorchLightning/pytorch-lightning/pull/3261))
[Bug-Fix]:properties `current_epoch` and `global_step` between model and trainer same always (#3785) * make current_epoch and global_step to be same as trainer, after model restore. * remove assignment here * test * minor modification * Update pytorch_lightning/core/lightning.py type check, better clarity Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Update pytorch_lightning/core/lightning.py type check, better clarity Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * comments for current_epoch and global_step properties * Update tests/models/test_restore.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update comments according to the changes made * Update tests/models/test_restore.py * add current_epoch, global_step to jit ignore list * Add comments to CHANGELOG * Update CHANGELOG.md * Update tests/models/test_restore.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-05 15:10:40 +00:00
- Fixed `current_epoch` and `global_step` properties mismatch between `Trainer` and `LightningModule` ([#3785](https://github.com/PyTorchLightning/pytorch-lightning/pull/3785))
Fix lr finder for optimizers with states (#3897) * fix lr finder * changelog * add test
2020-10-06 13:12:29 +00:00
- Fixed learning rate scheduler for optimizers with internal state ([#3897](https://github.com/PyTorchLightning/pytorch-lightning/pull/3897))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `tbptt_reduce_fx` when non-floating tensors are logged ([#3796](https://github.com/PyTorchLightning/pytorch-lightning/pull/3796))
- Fixed model checkpoint frequency ([#3852](https://github.com/PyTorchLightning/pytorch-lightning/pull/3852))
- Fixed logging non-tensor scalar with result breaks subsequent epoch aggregation ([#3855](https://github.com/PyTorchLightning/pytorch-lightning/pull/3855))
- Fixed `TrainerEvaluationLoopMixin` activates `model.train()` at the end ([#3858](https://github.com/PyTorchLightning/pytorch-lightning/pull/3858))
- Fixed `overfit_batches` when using with multiple val/test_dataloaders ([#3857](https://github.com/PyTorchLightning/pytorch-lightning/pull/3857))
- Fixed enables `training_step` to return `None` ([#3862](https://github.com/PyTorchLightning/pytorch-lightning/pull/3862))
- Fixed init nan for checkpointing ([#3863](https://github.com/PyTorchLightning/pytorch-lightning/pull/3863))
- Fixed for `load_from_checkpoint` ([#2776](https://github.com/PyTorchLightning/pytorch-lightning/pull/2776))
- Fixes incorrect `batch_sizes` when Dataloader returns a dict with multiple tensors ([#3668](https://github.com/PyTorchLightning/pytorch-lightning/pull/3668))
- Fixed unexpected signature for `validation_step` ([#3947](https://github.com/PyTorchLightning/pytorch-lightning/pull/3947))
## [0.9.0] - 2020-08-20
continue (#2450)
2020-07-01 12:35:51 +00:00
### Added
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added SyncBN for DDP ([#2801](https://github.com/PyTorchLightning/pytorch-lightning/pull/2801),
[#2838](https://github.com/PyTorchLightning/pytorch-lightning/pull/2838))
Added basic file logger (#2721) * Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * csv * Apply suggestions from code review * tests * tests * tests * miss * docs Co-authored-by: xmotli02 <xmotli02@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-06 10:08:25 +00:00
- Added basic `CSVLogger` ([#2721](https://github.com/PyTorchLightning/pytorch-lightning/pull/2721))
metrics: add SSIM (#2671) * metrics: add SSIM * Update CHANGELOG.md fix codefactor issue fix doctest fix doctest fix test * added test for raise Error
2020-07-23 16:13:52 +00:00
- Added SSIM metrics ([#2671](https://github.com/PyTorchLightning/pytorch-lightning/pull/2671))
metrics: add BLEU (#2535) * metrics: added bleu score and test bleu * metrics: fixed type hints in bleu * bleu score moved to metrics/functional/nlp.py * refactor with torch.Tensor * Update test_sequence.py * refactor as Borda requests and nltk==3.2 * locked nltk==3.3 * nltk>=3.3, parametrized smooth argument for test * fix bleu_score example * added class BLEUScore metrics and test * added class BLEUScore metrics and test * update CHANGELOG * refactor with torchtext * torchtext changed to optional import * fix E501 line too long * add else: in optional import * remove pragma: no-cover * constants changed to CAPITALS * remove class in tests * List -> Sequence, conda -> pip, cast with tensor * add torchtext in test.txt * remove torchtext from test.txt * bump torchtext to 0.5.0 * bump torchtext to 0.5.0 * Apply suggestions from code review * ignore bleu score in doctest, renamed to nlp.py * back to implementation with torch * remove --ignore in CI test, proper reference format * apply justus comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-22 13:58:24 +00:00
- Added BLEU metrics ([#2535](https://github.com/PyTorchLightning/pytorch-lightning/pull/2535))
Add onnx export (#2596) * export model to onnx * prepare data before exporting * support for dataloaders and tensors * added tests * use example_input_array add to changelog * updated docstring * added onnx inference tests * temp commit * removed schema valid test * add onnxruntime to environment.yml * moved onnxruntime to environment.yml pip * add example in doc * add lines between code block * added PR to changelog * is file check Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * remove * Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * infer example outputs * added doctest for onnx * fix windows tests * moved eval within condition block * self.forward to self * added docs * fixed docs error * added to toctree * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-31 10:27:57 +00:00
- Added support to export a model to ONNX format ([#2596](https://github.com/PyTorchLightning/pytorch-lightning/pull/2596))
support num_sanity_val_steps=-1 (#2246) * support sanity_val_step=-1 * fix list size * simplification * simplify * add test for num_sanity_val_steps=-1 * update test * update docs * extend tests to multiple dataloaders * changelog * Update tests/trainer/test_trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * improve test * refactor the sanity check decision * fix merge * Update trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-23 11:07:03 +00:00
- Added support for `Trainer(num_sanity_val_steps=-1)` to check all validation data before training ([#2246](https://github.com/PyTorchLightning/pytorch-lightning/pull/2246))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added struct. output:
* tests for val loop flow ([#2605](https://github.com/PyTorchLightning/pytorch-lightning/pull/2605))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* `EvalResult` support for train and val. loop ([#2615](https://github.com/PyTorchLightning/pytorch-lightning/pull/2615),
[#2651](https://github.com/PyTorchLightning/pytorch-lightning/pull/2651))
update changelogs
2020-08-12 14:02:32 +00:00
* weighted average in results obj ([#2930](https://github.com/PyTorchLightning/pytorch-lightning/pull/2930))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
* fix result obj DP auto reduce ([#3013](https://github.com/PyTorchLightning/pytorch-lightning/pull/3013))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added class `LightningDataModule` ([#2668](https://github.com/PyTorchLightning/pytorch-lightning/pull/2668))
pytorch 1.6 (#2745) * pt 1.6 * don't use the new zipfile serialization for now * quick flake8 fixes * remove unnecessary f * coalesce strings * remove comma * remove extra commas * Apply suggestions from code review Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * set _use_new_zipfile_serialization to False only for pytorch 1.6.0 * remove unnecessary comments * flake8 fixes * use pkg_resources instead of packaging * readme * format * version * chlog Co-authored-by: Peter Yu <peter@asapp.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
2020-07-31 09:18:32 +00:00
- Added support for PyTorch 1.6 ([#2745](https://github.com/PyTorchLightning/pytorch-lightning/pull/2745))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added call DataModule hooks implicitly in trainer ([#2755](https://github.com/PyTorchLightning/pytorch-lightning/pull/2755))
Support Mean in DDP Sync (#2568) * Update converters.py * Update test_converters.py * pep8 * pep8 tests * Update test_datamodules.py * Update test_converters.py * Update converters.py * Update test_datamodules.py * Update test_converters.py * Update test_converters.py * fix tests * fix ddp tests on windows * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-04 16:32:20 +00:00
- Added support for Mean in DDP Sync ([#2568](https://github.com/PyTorchLightning/pytorch-lightning/pull/2568))
Add remaning sklearn metrics (#2562) * added balanced accuracy * added dcg score * added mean absolute error * added mean squared error * fix * added mean squared log error * add median absolute error and r2 score * switch arguments * added mean poisson deviance * add mean gamma deviance and mean tweedie deviance * fix styling * added explained variance score * added cohen kappa score * added hamming, hinge, jaccard * fix styling * update sklearn requirement to newer version * update requirement * fix doctest * fix tests * added balanced accuracy * added dcg score * added mean absolute error * added mean squared error * fix * added mean squared log error * add median absolute error and r2 score * switch arguments * added mean poisson deviance * add mean gamma deviance and mean tweedie deviance * fix styling * added explained variance score * added cohen kappa score * added hamming, hinge, jaccard * fix styling * update sklearn requirement to newer version * fix doctest * fix tests * fix doctest * fix failing docs * fix test * trying to fix errors * Apply suggestions from code review * format Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-05 09:32:53 +00:00
- Added remaining `sklearn` metrics: `AveragePrecision`, `BalancedAccuracy`, `CohenKappaScore`, `DCG`, `Hamming`, `Hinge`, `Jaccard`, `MeanAbsoluteError`, `MeanSquaredError`, `MeanSquaredLogError`, `MedianAbsoluteError`, `R2Score`, `MeanPoissonDeviance`, `MeanGammaDeviance`, `MeanTweedieDeviance`, `ExplainedVariance` ([#2562](https://github.com/PyTorchLightning/pytorch-lightning/pull/2562))
Support limit_mode_batches (int) for infinite dataloader (#2840) * Support limit_mode_batches(int) for infinite dataloader * flake8 * revert and update * add and update tests * pep8 * chlog * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Add suggestions by @awaelchli * docs * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Apply suggestions from code review * fix * max * check * add and update tests * max * check * check * check * chlog * tests * update exception message * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 11:02:36 +00:00
- Added support for `limit_{mode}_batches (int)` to work with infinite dataloader (IterableDataset) ([#2840](https://github.com/PyTorchLightning/pytorch-lightning/pull/2840))
Support returning python scalars in DP (#1935) * Override the default gather method to support scalars * add computing average of a list * bug: change if to elif * add some tests * change style * change documentation * use apply_to_collection in DP gather * use apply_to_collection in DP gather * fix warning msg * override gather method in DP * add tests for python scalars * add python scalars to docstring * Update message * override gather method in DP * formatting * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 07:18:29 +00:00
- Added support returning python scalars in DP ([#1935](https://github.com/PyTorchLightning/pytorch-lightning/pull/1935))
Add support to Tensorboard logger for OmegaConf hparams (#2846) * Add support to Tensorboard logger for OmegaConf hparams Address https://github.com/PyTorchLightning/pytorch-lightning/issues/2844 We check if we can import omegaconf, and if the hparams are omegaconf instances. if so, we use OmegaConf.merge to preserve the typing, such that saving hparams to yaml actually triggers the OmegaConf branch * avalaible * chlog * test Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 13:13:21 +00:00
- Added support to Tensorboard logger for OmegaConf `hparams` ([#2846](https://github.com/PyTorchLightning/pytorch-lightning/pull/2846))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Added tracking of basic states in `Trainer` ([#2541](https://github.com/PyTorchLightning/pytorch-lightning/pull/2541))
- Tracks all outputs including TBPTT and multiple optimizers ([#2890](https://github.com/PyTorchLightning/pytorch-lightning/pull/2890))
add apex test (#2921) * add apex test * rename * level * events * wrap * evt * miss * apex * apex * apex * apex * apex * apex * Update tests/models/test_amp.py Co-authored-by: William Falcon <waf2107@columbia.edu> * notes * notes Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-08-13 14:03:13 +00:00
- Added GPU Usage Logger ([#2932](https://github.com/PyTorchLightning/pytorch-lightning/pull/2932))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Added `strict=False` for `load_from_checkpoint` ([#2819](https://github.com/PyTorchLightning/pytorch-lightning/pull/2819))
tasks docs
2020-08-16 02:36:53 +00:00
- Added saving test predictions on multiple GPUs ([#2926](https://github.com/PyTorchLightning/pytorch-lightning/pull/2926))
Feature/log computational graph (#3003) * add methods * log in trainer * add tests * changelog * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * text * added argument * update tests * fix styling * improve testing
2020-08-19 23:08:46 +00:00
- Auto log the computational graph for loggers that support this ([#3003](https://github.com/PyTorchLightning/pytorch-lightning/pull/3003))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Added warning when changing monitor and using results obj ([#3014](https://github.com/PyTorchLightning/pytorch-lightning/pull/3014))
- Added a hook `transfer_batch_to_device` to the `LightningDataModule` ([#3038](https://github.com/PyTorchLightning/pytorch-lightning/pull/3038))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Changed
truncate long version number in progress bar (#2594) * truncate version number * add docs and example * extend docs * docs * docs * changelog * show last * Update pytorch_lightning/core/lightning.py * Update pytorch_lightning/core/lightning.py Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-28 20:32:34 +00:00
- Truncated long version numbers in progress bar ([#2594](https://github.com/PyTorchLightning/pytorch-lightning/pull/2594))
Use .comet.config file for CometLogger (#1913) * Use .comet.config file or env var for API key. * Make CometLogger API key changes backwards compatible. * Fix line too long. * Add documentation about loading from ~/.comet_config. * Update required comet_ml version. * Comet logger: allow offline experiments with config file. This adds a new argument to the logger to control the online / offline mode explicitly so that if you give an API key and a save_dir (e.g. to control where checkpoints go while having ~/.comet.config) you can specify which mode you want. * Make CometLogger API key changes backwards compatible. * Comet logger: change online argument to be offline. For consistency with other loggers. * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 07:46:50 +00:00
- Enabling val/test loop disabling ([#2692](https://github.com/PyTorchLightning/pytorch-lightning/pull/2692))
- Refactored into `accelerator` module:
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
* GPU training ([#2704](https://github.com/PyTorchLightning/pytorch-lightning/pull/2704))
* TPU training ([#2708](https://github.com/PyTorchLightning/pytorch-lightning/pull/2708))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
* DDP(2) backend ([#2796](https://github.com/PyTorchLightning/pytorch-lightning/pull/2796))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
* Retrieve last logged val from result by key ([#3049](https://github.com/PyTorchLightning/pytorch-lightning/pull/3049))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Using `.comet.config` file for `CometLogger` ([#1913](https://github.com/PyTorchLightning/pytorch-lightning/pull/1913))
- Updated hooks arguments - breaking for `setup` and `teardown` ([#2850](https://github.com/PyTorchLightning/pytorch-lightning/pull/2850))
- Using `gfile` to support remote directories ([#2164](https://github.com/PyTorchLightning/pytorch-lightning/pull/2164))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
- Moved optimizer creation after device placement for DDP backends ([#2904](https://github.com/PyTorchLightning/pytorch-lighting/pull/2904))
update changelogs
2020-08-12 14:02:32 +00:00
- Support `**DictConfig` for `hparam` serialization ([#2519](https://github.com/PyTorchLightning/pytorch-lightning/pull/2519))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Removed callback metrics from test results obj ([#2994](https://github.com/PyTorchLightning/pytorch-lightning/pull/2994))
- Re-enabled naming metrics in ckpt name ([#3060](https://github.com/PyTorchLightning/pytorch-lightning/pull/3060))
- Changed progress bar epoch counting to start from 0 ([#3061](https://github.com/PyTorchLightning/pytorch-lightning/pull/3061))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Deprecated
Fix weights_save_path when logger is used + simplify path handling + better docs (#2681) * fix weights_save path and drop ckpt_path * add tests * unused import * update docs * changelog * pep8 * fix horovod test * make backward compatible * perform same test for all loggers * fix for when logger=False and weights_save_path is set * update changelog * update docs * update tests * do not set save dir dynamically * remove duplicate test * remove duplicated tests * update tests * update tests * remove remaining ckpt_path references * move defaults to init as suggested by @Borda * test deprecation
2020-07-27 16:53:11 +00:00
- Deprecated Trainer attribute `ckpt_path`, which will now be set by `weights_save_path` ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Removed
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Removed deprecated: ([#2760](https://github.com/PyTorchLightning/pytorch-lightning/pull/2760))
* core decorator `data_loader`
* Module hook `on_sanity_check_start` and loading `load_from_metrics`
* package `pytorch_lightning.logging`
* Trainer arguments: `show_progress_bar`, `num_tpu_cores`, `use_amp`, `print_nan_grads`
* LR Finder argument `num_accumulation_steps`
continue (#2450)
2020-07-01 12:35:51 +00:00
### Fixed
Fix accumulate_grad_batches for last batch (#2853) * first attempt * update changelog * fix pep8 and tests * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * added new tests * fixed tests * Apply suggestions from code review * used num_training_batches * fixed pep8 * fixed with is_last_batch suggested by @awaelchli * fixed with num_training_batches * fixed with num_training_batches * cleanup * fix test and update docs * fixed for alignment, update docs * minor changes * update doc 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>
2020-08-15 19:06:37 +00:00
- Fixed `accumulate_grad_batches` for last batch ([#2853](https://github.com/PyTorchLightning/pytorch-lightning/pull/2853))
fix setup call while testing (#2624) * fix setup call while testing * changelog * drop if condition * add test to check setup call * flake8 * update test to check model stage Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-25 03:57:31 +00:00
- Fixed setup call while testing ([#2624](https://github.com/PyTorchLightning/pytorch-lightning/pull/2624))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed local rank zero casting ([#2640](https://github.com/PyTorchLightning/pytorch-lightning/pull/2640))
- Fixed single scalar return from training ([#2587](https://github.com/PyTorchLightning/pytorch-lightning/pull/2587))
Horovod: adjust base LR used by schedulers to scale with the number of workers (#2626) * Horovod: Adjust base LR used by schedulers to match that of the optimizer after scaling by number of workers * Added unit test * Removed debug statements * Updated changelog * Apply suggestions from code review Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-23 16:14:57 +00:00
- Fixed Horovod backend to scale LR schedlers with the optimizer ([#2626](https://github.com/PyTorchLightning/pytorch-lightning/pull/2626))
fix dtype/device property not getting updated in submodules (#2657) * recursive dtype device apply * simplify * simple test * submodule test * rename * explicit * type hints * test for dp backend * fix test skip * rename * add ddp_spawn test * fix None index in test * try fix ddp_spawn test * changelog * move _dtype and _device to mixin * additional doctest
2020-07-21 19:18:57 +00:00
- Fixed `dtype` and `device` properties not getting updated in submodules ([#2657](https://github.com/PyTorchLightning/pytorch-lightning/pull/2657))
Fix max_batches with fast_dev_run. (#2581) * Fix fast_dev_run to run for all val_dataloaders * fast_dev_run check * changelog * explicit * limit_batches with fast_dev_run in init * add test * whitespace and comment fix * comment and assertion * added tests * Fix fast_dev_run to run for all val_dataloaders * fast_dev_run check * changelog * explicit * limit_batches with fast_dev_run in init * add test * whitespace and comment fix * comment and assertion * added tests * added tests * added tests * added tests * update rtol * Revert "update rtol" This reverts commit 4320329540798c112cf45dcbd6f677993e4c6ad6. * added tests Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-27 21:56:55 +00:00
- Fixed `fast_dev_run` to run for all dataloaders ([#2581](https://github.com/PyTorchLightning/pytorch-lightning/pull/2581))
Fix weights_save_path when logger is used + simplify path handling + better docs (#2681) * fix weights_save path and drop ckpt_path * add tests * unused import * update docs * changelog * pep8 * fix horovod test * make backward compatible * perform same test for all loggers * fix for when logger=False and weights_save_path is set * update changelog * update docs * update tests * do not set save dir dynamically * remove duplicate test * remove duplicated tests * update tests * update tests * remove remaining ckpt_path references * move defaults to init as suggested by @Borda * test deprecation
2020-07-27 16:53:11 +00:00
- Fixed `save_dir` in loggers getting ignored by default value of `weights_save_path` when user did not specify `weights_save_path` ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
- Fixed `weights_save_path` getting ignored when `logger=False` is passed to Trainer ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
fixing TPU tests (#2632) * init * rename * tpu_core_idx * idx 8 * idxs * @pl_multi_process_test * assert * assert * deamon * no close * imort * msg * use_single_gpu * dataset * idx * fix idx * dataset * format * add pickable * typo * apex * typo * wip * wip * wip * wip * wip * wip * wip * wip * docs * typo * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * docs * docs * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * docs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-07-27 23:07:09 +00:00
- Fixed TPU multi-core and Float16 ([#2632](https://github.com/PyTorchLightning/pytorch-lightning/pull/2632))
Add missing methods to logger collection (#2723) * Add missing methods to logger collection * Update CHANGELOG.md * Fix errors after merge * Fix codefactor issues * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-29 21:53:02 +00:00
- Fixed test metrics not being logged with `LoggerCollection` ([#2723](https://github.com/PyTorchLightning/pytorch-lightning/pull/2723))
Feature/log computational graph (#3003) * add methods * log in trainer * add tests * changelog * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * text * added argument * update tests * fix styling * improve testing
2020-08-19 23:08:46 +00:00
- Fixed data transfer to device when using `torchtext.data.Field` and `include_lengths is True` ([#2689](https://github.com/PyTorchLightning/pytorch-lightning/pull/2689))
Fix shuffle for distributed sampler (#2789) * 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>
2020-08-02 03:22:57 +00:00
- Fixed shuffle argument for distributed sampler ([#2789](https://github.com/PyTorchLightning/pytorch-lightning/pull/2789))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed logging interval ([#2694](https://github.com/PyTorchLightning/pytorch-lightning/pull/2694))
- Fixed loss value in the progress bar is wrong when `accumulate_grad_batches > 1` ([#2738](https://github.com/PyTorchLightning/pytorch-lightning/pull/2738))
- Fixed correct CWD for ddp sub-processes when using Hydra ([#2719](https://github.com/PyTorchLightning/pytorch-lightning/pull/2719))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed selecting GPUs using `CUDA_VISIBLE_DEVICES` ([#2739](https://github.com/PyTorchLightning/pytorch-lightning/pull/2739),
[#2796](https://github.com/PyTorchLightning/pytorch-lightning/pull/2796))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed false `num_classes` warning in metrics ([#2781](https://github.com/PyTorchLightning/pytorch-lightning/pull/2781))
- Fixed shell injection vulnerability in subprocess call ([#2786](https://github.com/PyTorchLightning/pytorch-lightning/pull/2786))
Bugfix: Lr finder and hparams compatibility (#2821) * fix hparams lr finder bug * add tests for new functions * better tests * fix codefactor * fix styling * fix tests * fix codefactor * Apply suggestions from code review * modified hook Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-08-06 22:34:48 +00:00
- Fixed LR finder and `hparams` compatibility ([#2821](https://github.com/PyTorchLightning/pytorch-lightning/pull/2821))
save last model after saving top_k when save_last=True (#2881) * save_last should be last * changelog * seed, docs * retrigger ci * compare filenames * move constants * fix test * epoch, global step * improve test
2020-08-08 10:02:43 +00:00
- Fixed `ModelCheckpoint` not saving the latest information when `save_last=True` ([#2881](https://github.com/PyTorchLightning/pytorch-lightning/pull/2881))
Finish PR #2432: Imagenet example updates + basic testing (#2889) * fix imagenet example: lr_scheduler, loader workers, batch size when ddp * Fix evaluation for imagenet example * add imagenet example test * cleanup * gpu * add imagenet example evluation test * fix test output * test is fixed in master, remove unecessary hack * CHANGE * Apply suggestions from code review * image net example * update imagenet example * update example * pep * imports * type hint * docs * obsolete arg * [wip] fix imagenet example: lr_scheduler, loader workers, batch size when ddp (#2432) * fix imagenet example: lr_scheduler, loader workers, batch size when ddp * Fix evaluation for imagenet example * add imagenet example test * cleanup * gpu * add imagenet example evluation test * fix test output * test is fixed in master, remove unecessary hack * CHANGE * Apply suggestions from code review Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update chlog * add missing chlog * pep * pep Co-authored-by: Ruotian Luo <rluo@ttic.edu> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-08-09 10:02:07 +00:00
- Fixed ImageNet example: learning rate scheduler, number of workers and batch size when using DDP ([#2889](https://github.com/PyTorchLightning/pytorch-lightning/pull/2889))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Fixed apex gradient clipping ([#2829](https://github.com/PyTorchLightning/pytorch-lightning/pull/2829))
- Fixed save apex scaler states ([#2828](https://github.com/PyTorchLightning/pytorch-lightning/pull/2828))
Fix hparams loading for model that accepts *args (#2911) * fix hparams loading for model that accepts *args * add test case * changelog * pep * fix test Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-08-12 13:58:35 +00:00
- Fixed a model loading issue with inheritance and variable positional arguments ([#2911](https://github.com/PyTorchLightning/pytorch-lightning/pull/2911))
Do not pass non_blocking=True if it does not support this argument (#2910) * add docs * non blocking only on tensor * changelog * add test case * add test comment * update changelog changelog chlog
2020-08-11 23:28:37 +00:00
- Fixed passing `non_blocking=True` when transferring a batch object that does not support it ([#2910](https://github.com/PyTorchLightning/pytorch-lightning/pull/2910))
update changelogs
2020-08-12 14:02:32 +00:00
- Fixed checkpointing to remote file paths ([#2925](https://github.com/PyTorchLightning/pytorch-lightning/pull/2925))
tasks docs
2020-08-16 02:36:53 +00:00
- Fixed adding val step argument to metrics ([#2986](https://github.com/PyTorchLightning/pytorch-lightning/pull/2986))
ddp fix for trainer.test() + add basic ddp tests (#2997) * add ddp script variations * add ddp test * rename * shell * test * test * try call * try without subprocess * test * display the error * list all variations * try string * try copy env * debug * pythonpath * path * update test * change * simple ddp test * replace * remove random port * random port * str * clean up * check run spawn * clean up * docs * docs * update test * docs * changelog * changelog
2020-08-16 15:19:57 +00:00
- Fixed an issue that caused `Trainer.test()` to stall in ddp mode ([#2997](https://github.com/PyTorchLightning/pytorch-lightning/pull/2997))
Fix result gathering with varying tensor shapes (#3020) * test for gethering results * fix gather * document tests * changelog * assert dtype * default to concat * additional test
2020-08-19 00:27:48 +00:00
- Fixed gathering of results with tensors of varying shape ([#3020](https://github.com/PyTorchLightning/pytorch-lightning/pull/3020))
Revert "Remove limitation of batch scaler (#4006)" (#4040) This reverts commit 7e756ca11f2d3938ef73010fe63aa45d699bf0bc.
2020-10-10 01:03:23 +00:00
- Fixed batch size auto-scaling feature to set the new value on the correct model attribute ([#3043](https://github.com/PyTorchLightning/pytorch-lightning/pull/3043))
fix auto scale batch size not working with precision=16 (#3045) * add test * test * test * add fix * changelog * check batch size changed
2020-08-19 20:41:33 +00:00
- Fixed automatic batch scaling not working with half precision ([#3045](https://github.com/PyTorchLightning/pytorch-lightning/pull/3045))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Fixed setting device to root gpu ([#3042](https://github.com/PyTorchLightning/pytorch-lightning/pull/3042))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
## [0.8.5] - 2020-07-09
continue (#2450)
2020-07-01 12:35:51 +00:00
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
### Added
- Added a PSNR metric: peak signal-to-noise ratio ([#2483](https://github.com/PyTorchLightning/pytorch-lightning/pull/2483))
- Added functional regression metrics ([#2492](https://github.com/PyTorchLightning/pytorch-lightning/pull/2492))
make loggers pickleable (#2518) * state updates to logger * change log * changelog
2020-07-05 23:57:22 +00:00
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
### Removed
- Removed auto val reduce ([#2462](https://github.com/PyTorchLightning/pytorch-lightning/pull/2462))
### Fixed
- Flattening Wandb Hyperparameters ([#2459](https://github.com/PyTorchLightning/pytorch-lightning/pull/2459))
- Fixed using the same DDP python interpreter and actually running ([#2482](https://github.com/PyTorchLightning/pytorch-lightning/pull/2482))
- Fixed model summary input type conversion for models that have input dtype different from model parameters ([#2510](https://github.com/PyTorchLightning/pytorch-lightning/pull/2510))
- Made `TensorBoardLogger` and `CometLogger` pickleable ([#2518](https://github.com/PyTorchLightning/pytorch-lightning/pull/2518))
save_dir fix for MLflowLogger + save_dir tests for others (#2502) * mlflow rework * logger save_dir * folder * mlflow * simplify * fix test * add a test for file dir contents * new line * changelog * docs * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * test for comet logger * improve mlflow checkpoint test * prevent commet logger error on pytest exit * test tensorboard save dir structure * wandb save dir test * skip test on windows * add mlflow to pickle tests * wandb * code factor * remove unused imports * remove unused setter * wandb mock * wip mock * wip mock * wandb tests with mocking * clean up * clean up * comments * include wandblogger in test * clean up * missing argument Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-09 11:15:41 +00:00
- Fixed a problem with `MLflowLogger` creating multiple run folders ([#2502](https://github.com/PyTorchLightning/pytorch-lightning/pull/2502))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
- Fixed global_step increment ([#2455](https://github.com/PyTorchLightning/pytorch-lightning/pull/2455))
- Fixed TPU hanging example ([#2488](https://github.com/PyTorchLightning/pytorch-lightning/pull/2488))
- Fixed `argparse` default value bug ([#2526](https://github.com/PyTorchLightning/pytorch-lightning/pull/2526))
- Fixed Dice and IoU to avoid NaN by adding small eps ([#2545](https://github.com/PyTorchLightning/pytorch-lightning/pull/2545))
- Fixed accumulate gradients schedule at epoch 0 (continued) ([#2513](https://github.com/PyTorchLightning/pytorch-lightning/pull/2513))
- Fixed Trainer `.fit()` returning last not best weights in "ddp_spawn" ([#2565](https://github.com/PyTorchLightning/pytorch-lightning/pull/2565))
- Fixed passing (do not pass) TPU weights back on test ([#2566](https://github.com/PyTorchLightning/pytorch-lightning/pull/2566))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed DDP tests and `.test()` ([#2512](https://github.com/PyTorchLightning/pytorch-lightning/pull/2512),
[#2570](https://github.com/PyTorchLightning/pytorch-lightning/pull/2570))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
cleaning (#2449)
2020-07-01 11:56:10 +00:00
## [0.8.4] - 2020-07-01
continue (#2416)
2020-06-29 19:00:52 +00:00
### Added
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Added reduce ddp results on eval ([#2434](https://github.com/PyTorchLightning/pytorch-lightning/pull/2434))
Warn user when IterableDataset has __len__ defined (#2437) * add warning when getting checking len * added test * changelog * pep * do not show warning below 1.4 * try version parse * comments * xfail * Update requirements/base.txt Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/data_loading.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * version Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-07-01 11:53:19 +00:00
- Added a warning when an `IterableDataset` has `__len__` defined ([#2437](https://github.com/PyTorchLightning/pytorch-lightning/pull/2437))
continue (#2416)
2020-06-29 19:00:52 +00:00
### Changed
cleaning (#2449)
2020-07-01 11:56:10 +00:00
- Enabled no returns from eval ([#2446](https://github.com/PyTorchLightning/pytorch-lightning/pull/2446))
continue (#2416)
2020-06-29 19:00:52 +00:00
### Fixed
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Fixes train outputs ([#2428](https://github.com/PyTorchLightning/pytorch-lightning/pull/2428))
- Fixes Conda dependencies ([#2412](https://github.com/PyTorchLightning/pytorch-lightning/pull/2412))
- Fixed Apex scaling with decoupled backward ([#2433](https://github.com/PyTorchLightning/pytorch-lightning/pull/2433))
- Fixed crashing or wrong displaying progressbar because of missing ipywidgets ([#2417](https://github.com/PyTorchLightning/pytorch-lightning/pull/2417))
- Fixed TPU saving dir ([fc26078e](https://github.com/PyTorchLightning/pytorch-lightning/commit/fc26078e395f8a001f4c6dd7b3fe7ca202f914a3), [04e68f02](https://github.com/PyTorchLightning/pytorch-lightning/commit/04e68f022fc03dd5f1555ee86dea997d42a448ad))
- Fixed logging on rank 0 only ([#2425](https://github.com/PyTorchLightning/pytorch-lightning/pull/2425))
cleaning (#2449)
2020-07-01 11:56:10 +00:00
release (#2414)
2020-06-29 11:21:28 +00:00
## [0.8.3] - 2020-06-29
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
### Fixed
release (#2414)
2020-06-29 11:21:28 +00:00
- Fixed AMP wrong call ([593837e](https://github.com/PyTorchLightning/pytorch-lightning/commit/593837e1da24ff6c942b24ed803fc1496a304609))
- Fixed batch typo ([92d1e75](https://github.com/PyTorchLightning/pytorch-lightning/commit/92d1e75b2638a493d9d21ed5fe00a22093888285))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
## [0.8.2] - 2020-06-28
### Added
- Added TorchText support for moving data to GPU ([#2379](https://github.com/PyTorchLightning/pytorch-lightning/pull/2379))
### Changed
- Changed epoch indexing from 0 instead of 1 ([#2289](https://github.com/PyTorchLightning/pytorch-lightning/pull/2289))
- Refactor Model `backward` ([#2276](https://github.com/PyTorchLightning/pytorch-lightning/pull/2276))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Refactored `training_batch` + tests to verify correctness ([#2327](https://github.com/PyTorchLightning/pytorch-lightning/pull/2327),
[#2328](https://github.com/PyTorchLightning/pytorch-lightning/pull/2328))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
- Refactored training loop ([#2336](https://github.com/PyTorchLightning/pytorch-lightning/pull/2336))
- Made optimization steps for hooks ([#2363](https://github.com/PyTorchLightning/pytorch-lightning/pull/2363))
- Changed default apex level to 'O2' ([#2362](https://github.com/PyTorchLightning/pytorch-lightning/pull/2362))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
### Removed
move Trains logger to Bolts (#2384) * move Trains logger * chlog
2020-06-27 13:14:05 +00:00
- Moved `TrainsLogger` to Bolts ([#2384](https://github.com/PyTorchLightning/pytorch-lightning/pull/2384))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
### Fixed
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
fix TPU parsing and TPU tests (#2094) * added tpu params test * added tests * removed xla imports * added test cases for TPU * fix pep 8 issues * refactorings and comments * add message to MisconfigurationException Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test if device is set correctly * added TPU device check removed mark.spawn * removed device selection * remove xla_device call * readded spawn due to test failures * add TODO for tpu check * Apply suggestions from code review * Apply suggestions from code review * flake8 * added tpu args to cli tests * added support for tpu_core selection via cli * fixed flake formatting * replaced default_save_path with default_root_dir * added check for data type for tpu_cores * fixed flake indent * protected * protected * added tpu params test * added tests * removed xla imports * test if device is set correctly * added support for tpu_core selection via cli * replaced default_save_path with default_root_dir * added check for data type for tpu_cores * chlog * fixed tpu cores error * rebased with latest changes * flake fix * Update pytorch_lightning/trainer/distrib_parts.py added suggesstion Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-06-23 16:06:57 +00:00
- Fixed parsing TPU arguments and TPU tests ([#2094](https://github.com/PyTorchLightning/pytorch-lightning/pull/2094))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed number batches in case of multiple dataloaders and `limit_{*}_batches` ([#1920](https://github.com/PyTorchLightning/pytorch-lightning/pull/1920),
[#2226](https://github.com/PyTorchLightning/pytorch-lightning/pull/2226))
Fix summary hook handles not getting removed (#2298) * detach hooks after completion * detach hook * update docs * add test * docs * changelog
2020-06-20 11:38:47 +00:00
- Fixed an issue with forward hooks not being removed after model summary ([#2298](https://github.com/PyTorchLightning/pytorch-lightning/pull/2298))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Fix for `load_from_checkpoint()` not working with absolute path on Windows ([#2294](https://github.com/PyTorchLightning/pytorch-lightning/pull/2294))
Bugfix/_has_len (#2307) * deal with NotImplementedError raised by torchtext * deal with NotImplementedError raised by torchtext * Added tests for dataloader which raise NotImplementedError in __len__() * Fixed some typos * enabled tests for dataloader raising NotImplementedError in __len__ and corrected match string for raised exception * deleted empty line for style compliance * refactored CustomNotImplementedErrorDataloader to derive from CustomInfDataloader * enabled reduced number of not_implemented_error dataloader test to reduce runtime for continuous integration * reduced test number of not_implemented_error dataloader test further to reduce test time * reduced test number of not_implemented_error dataloader test to one to reduce test time * disabled all not_implemented_error dataloader test to see if test pass in time * added __next__ with a reduced number (5) of elements after which CustomNotImplementedErrorDataloader stops to speedup test. * enabling all not_implemented_error dataloader test * added brief description of change and relation of torchtext * CustomNotImplementedErrorDataloader reduced number of batches served to 2. * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Disable parallelism in dataloader Suspect that it might cause pytest to hang more frequent * added max_steps=None to Trainer in not_implemented_error dataloader tests * rearranged not_implemented_error test in file to group them together * disabled parallel data loading Reason: testing if that stops the test framework from hanging. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Thomas Schaaf <tschaaf@cs.cmu.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-26 13:31:08 +00:00
- Fixed an issue how _has_len handles `NotImplementedError` e.g. raised by `torchtext.data.Iterator` ([#2293](https://github.com/PyTorchLightning/pytorch-lightning/pull/2293)), ([#2307](https://github.com/PyTorchLightning/pytorch-lightning/pull/2307))
- Fixed `average_precision` metric ([#2319](https://github.com/PyTorchLightning/pytorch-lightning/pull/2319))
Fix ROC metric for CUDA tensors (#2304) * Fix ROC metric for CUDA tensors Previously roc metric (and auroc) errors when passed in CUDA tensors, due to torch.tensor construction without specifying device. This fixes the error by using F.pad instead. * Update test_classification.py * Update test_classification.py * chlog * Update test_classification.py * Update test_classification.py * Update tests/metrics/functional/test_classification.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update test_classification.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-23 13:19:16 +00:00
- Fixed ROC metric for CUDA tensors ([#2304](https://github.com/PyTorchLightning/pytorch-lightning/pull/2304))
- Fixed `average_precision` metric ([#2319](https://github.com/PyTorchLightning/pytorch-lightning/pull/2319))
Fix lost compatibility with custom datatypes implementing `.to` (#2335) * generalize data transfer * added test * update docs * fix spelling error * changelog * update docs
2020-06-24 03:41:02 +00:00
- Fixed lost compatibility with custom datatypes implementing `.to` ([#2335](https://github.com/PyTorchLightning/pytorch-lightning/pull/2335))
fix loading model with kwargs (#2387) * test * fix * fix
2020-06-27 20:38:03 +00:00
- Fixed loading model with kwargs ([#2387](https://github.com/PyTorchLightning/pytorch-lightning/pull/2387))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
- Fixed sum(0) for `trainer.num_val_batches` ([#2268](https://github.com/PyTorchLightning/pytorch-lightning/pull/2268))
- Fixed checking if the parameters are a `DictConfig` Object ([#2216](https://github.com/PyTorchLightning/pytorch-lightning/pull/2216))
- Fixed SLURM weights saving ([#2341](https://github.com/PyTorchLightning/pytorch-lightning/pull/2341))
- Fixed swaps LR scheduler order ([#2356](https://github.com/PyTorchLightning/pytorch-lightning/pull/2356))
- Fixed adding tensorboard `hparams` logging test ([#2342](https://github.com/PyTorchLightning/pytorch-lightning/pull/2342))
- Fixed use model ref for tear down ([#2360](https://github.com/PyTorchLightning/pytorch-lightning/pull/2360))
- Fixed logger crash on DDP ([#2388](https://github.com/PyTorchLightning/pytorch-lightning/pull/2388))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed several issues with early stopping and checkpoint callbacks ([#1504](https://github.com/PyTorchLightning/pytorch-lightning/pull/1504),
[#2391](https://github.com/PyTorchLightning/pytorch-lightning/pull/2391))
fix loading past checpoints (#2405) * fix #2334 * chlog
2020-06-28 21:20:33 +00:00
- Fixed loading past checkpoints from v0.7.x ([#2405](https://github.com/PyTorchLightning/pytorch-lightning/pull/2405))
fix loading with hparams (#2403) * fix #2386 * extra test * extra case * extra test * chlog * fix test
2020-06-29 00:22:03 +00:00
- Fixed loading model without arguments ([#2403](https://github.com/PyTorchLightning/pytorch-lightning/pull/2403))
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Fixed Windows compatibility issue ([#2358](https://github.com/PyTorchLightning/pytorch-lightning/pull/2358))
fix loading with hparams (#2403) * fix #2386 * extra test * extra case * extra test * chlog * fix test
2020-06-29 00:22:03 +00:00
continue 0.8.x (#2264) * cleaning * docs * docs * types * mixins * mixins * docs * typo
2020-06-19 15:00:46 +00:00
## [0.8.1] - 2020-06-19
### Fixed
updates to changelog (#2248) * miss * miss * chlog * chlog
2020-06-19 06:37:38 +00:00
- Fixed the `load_from_checkpoint` path detected as URL bug ([#2244](https://github.com/PyTorchLightning/pytorch-lightning/pull/2244))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed hooks - added barrier ([#2245](https://github.com/PyTorchLightning/pytorch-lightning/pull/2245),
[#2257](https://github.com/PyTorchLightning/pytorch-lightning/pull/2257),
[#2260](https://github.com/PyTorchLightning/pytorch-lightning/pull/220))
updates to changelog (#2248) * miss * miss * chlog * chlog
2020-06-19 06:37:38 +00:00
- Fixed `hparams` - remove frame inspection on `self.hparams` ([#2253](https://github.com/PyTorchLightning/pytorch-lightning/pull/2253))
- Fixed setup and on fit calls ([#2252](https://github.com/PyTorchLightning/pytorch-lightning/pull/2252))
- Fixed GPU template ([#2255](https://github.com/PyTorchLightning/pytorch-lightning/pull/2255))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
## [0.8.0] - 2020-06-18
early stopping checks on_validation_end (#1458) * Fixes PyTorchLightning/pytorch-lightning#490 `EarlyStopping` should check the metric of interest `on_validation_end` rather than `on_epoch_end`. In a normal scenario, this does not cause a problem, but in combination with `check_val_every_n_epoch>1` in the `Trainer` it results in a warning or in a `RuntimeError` depending on `strict`. * Highlighted that ES callback runs on val epochs in docstring * Updated EarlyStopping in rst doc * Update early_stopping.py * Update early_stopping.rst * Update early_stopping.rst * Update early_stopping.rst * Update early_stopping.rst * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update docs/source/early_stopping.rst * fix doctest indentation warning * Train loop calls early_stop.on_validation_end * chlog Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-25 17:33:00 +00:00
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
### Added
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
replace train_percent_check with limit_train_batches (#2220) * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * chlog * deprecated * deprecated * deprecated * tests * tests * Apply suggestions from code review * tests * hydra support * tests * hydra support * hydra support * hydra support * tests * typo * typo * Update test_dataloaders.py * docs * docs * docs * docs Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 17:42:28 +00:00
- Added `overfit_batches`, `limit_{val|test}_batches` flags (overfit now uses training set for all three) ([#2213](https://github.com/PyTorchLightning/pytorch-lightning/pull/2213))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Added metrics
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Base classes ([#1326](https://github.com/PyTorchLightning/pytorch-lightning/pull/1326),
[#1877](https://github.com/PyTorchLightning/pytorch-lightning/pull/1877))
Metric docs fix (#2209) * fix docs * Update docs/source/metrics.rst * Update docs/source/metrics.rst Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update docs/source/metrics.rst * Update docs/source/metrics.rst * Update metrics.rst * title * fix * fix for num_classes * chlog * nb classes * hints * zero division * add tests * Update metrics.rst * Update classification.py * Update classification.py * prune doctests * docs * Apply suggestions from code review * Apply suggestions from code review * flake8 * doctests * formatting * cleaning * formatting * formatting * doctests * flake8 * docs * rename * rename * typo Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: edenlightning <66261195+edenlightning@users.noreply.github.com>
2020-06-17 11:34:39 +00:00
* Sklearn metrics classes ([#1327](https://github.com/PyTorchLightning/pytorch-lightning/pull/1327))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Native torch metrics ([#1488](https://github.com/PyTorchLightning/pytorch-lightning/pull/1488),
[#2062](https://github.com/PyTorchLightning/pytorch-lightning/pull/2062))
* docs for all Metrics ([#2184](https://github.com/PyTorchLightning/pytorch-lightning/pull/2184),
[#2209](https://github.com/PyTorchLightning/pytorch-lightning/pull/2209))
allow regression metrics to import (#2225) * allow regression metrics to import * allow regression metrics to import * docs * Apply suggestions from code review Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 22:44:29 +00:00
* Regression metrics ([#2221](https://github.com/PyTorchLightning/pytorch-lightning/pull/2221))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Added type hints in `Trainer.fit()` and `Trainer.test()` to reflect that also a list of dataloaders can be passed in ([#1723](https://github.com/PyTorchLightning/pytorch-lightning/pull/1723))
- Allow dataloaders without sampler field present ([#1907](https://github.com/PyTorchLightning/pytorch-lightning/pull/1907))
- Added option `save_last` to save the model at the end of every epoch in `ModelCheckpoint` [(#1908)](https://github.com/PyTorchLightning/pytorch-lightning/pull/1908)
- Early stopping checks `on_validation_end` ([#1458](https://github.com/PyTorchLightning/pytorch-lightning/pull/1458))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Attribute `best_model_path` to `ModelCheckpoint` for storing and later retrieving the path to the best saved model file ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
slow tpu train (#2033) * 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>
2020-06-02 22:48:05 +00:00
- Speed up single-core TPU training by loading data using `ParallelLoader` ([#2033](https://github.com/PyTorchLightning/pytorch-lightning/pull/2033))
Added black formater for the code with code-checker on pull (#1610) * black Added throught black.toml other options are hard so far No caching for black github action Moved from black.toml to pyproject.toml Exclude not only yml but also yaml Update pyproject.toml Co-authored-by: Thomas Johansen <thomasjo@gmail.com> Update .github/workflows/code-formatting-check.yml mergify Remove formating check E231 error ignoring because of black formating Updated CONTRIBUTING to the master * Update .github/workflows/code-formatting-check.yml * Bump black to 19.10b0 version * resolved incorrect merge of CONTRIBUTING, Black skipping string normalization * Minor fixes in CONTRIBUTING, two typos * Update setup.cfg * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-06-03 16:23:14 +00:00
- Added a model hook `transfer_batch_to_device` that enables moving custom data structures to the target device ([1756](https://github.com/PyTorchLightning/pytorch-lightning/pull/1756))
- Added [black](https://black.readthedocs.io/en/stable/) formatter for the code with code-checker on pull ([1610](https://github.com/PyTorchLightning/pytorch-lightning/pull/1610))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Added back the slow spawn ddp implementation as `ddp_spawn` ([#2115](https://github.com/PyTorchLightning/pytorch-lightning/pull/2115))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
- Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/pull/1667))
Handle KeyboardInterrupt during training (#2134) * Handle KeyboardInterrupt during training Fixes #2079. * chlog * Fix whitespace * Update callback_hook.py * Update base.py * Update training_loop.py * Update test_trainer.py * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * on_keyboard_interrupt Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-15 10:35:26 +00:00
- Added a callback method `on_keyboard_interrupt` for handling KeyboardInterrupt events during training ([#2134](https://github.com/PyTorchLightning/pytorch-lightning/pull/2134))
HenryJia: auto-move data decorator (#1905) * First attempt at auto-moving data for inference * Correct my copypaste errors * Correct for if device is CPU * Get rid of the WIP code I accidentally added * Add tests * Make tests more foolproof * Make sure we stick with pep8 formatting * Clarify docs a little * Apply suggestions from code review * Get everything working again hopefully * refactor and added hook variant a variant b add test revert rename add changelog docs * move changelog entry to top * Move data transfer to utilities * Add back in warnings for autotransfer * Get rid of the test code I ended up accidentally commiting again * Add docs any changelog * Correct PR number in Changelog * Correct changelog * Update data.py * Update test_cpu.py * make a decorator * type hint * changelog * changelog * remove old function * import * test for decorator * fix test * remove old test * doctest * apply decorator directly * convert doctest to code block * prevent side effects in tests * fix merge * update forward docs * update docs * added docs in section "deployment / prediction" * update changelog Co-authored-by: Hengjian Jia <henryjia18@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-06-15 21:04:32 +00:00
- Added a decorator `auto_move_data` that moves data to the correct device when using the LightningModule for inference ([#1905](https://github.com/PyTorchLightning/pytorch-lightning/pull/1905))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/pull/2190))
- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/pull/2229))
data transfer model hook (+ refactor) (#1756) * 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>
2020-06-03 01:45:19 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Changed
Allow user to select individual TPU core to train on (#1729) * added tpu_id added tpu_id to mixins * train on individual tpu * parallel loader if tpu_id is None * removed progress_bar_refresh_rate * chlog * replaced num_tpu_cores with tpu_cores * set tpu_id to None if int * changed num_tpu_cores to tpu_cores in docs * updated docs * updated __init__.py removed self.tpu_id for ParallelLoader * Update pytorch_lightning/trainer/__init__.py * check if tpu_cores is a list Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * xla device conditional * num_tpu_cores deprecation * removed duplicate warning * fixed pep8 error * Revert "removed duplicate warning" This reverts commit 8adb0a9b * deprecated api update * fixed recursion error * fixed tests * fixed flake errors * removed current_tpu_index * Update CHANGELOG.md * Update trainer.py Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-17 20:30:54 +00:00
- Allow user to select individual TPU core to train on ([#1729](https://github.com/PyTorchLightning/pytorch-lightning/pull/1729))
Remove NaNs from loss in LRFinder (#1862) * Remove NaNs from loss in LRFinder * np.isfinite * chlog * add test * chlog Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-19 06:39:19 +00:00
- Removed non-finite values from loss in `LRFinder` ([#1862](https://github.com/PyTorchLightning/pytorch-lightning/pull/1862))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Allow passing model hyperparameters as complete kwarg list ([#1896](https://github.com/PyTorchLightning/pytorch-lightning/pull/1896))
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
- Renamed `ModelCheckpoint`'s attributes `best` to `best_model_score` and `kth_best_model` to `kth_best_model_path` ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
- Re-Enable Logger's `ImportError`s ([#1938](https://github.com/PyTorchLightning/pytorch-lightning/pull/1938))
Update/merge multi-gpu docs (#2021) * merge multi-gpu docs * extend slurm docs * update links to elastic * format docs and type hints in distrib parts * reference multi-gpu/slurm in trainer args docs * fix doctest * typo * doctest * Apply suggestions from code review Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * wall time * Update docs/source/slurm.rst Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * fix title * update docs for weights summary * update changelog Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com>
2020-06-02 22:50:08 +00:00
- Changed the default value of the Trainer argument `weights_summary` from `full` to `top` ([#2029](https://github.com/PyTorchLightning/pytorch-lightning/pull/2029))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Raise an error when lightning replaces an existing sampler ([#2020](https://github.com/PyTorchLightning/pytorch-lightning/pull/2020))
continue 0.8.x (#2264) * cleaning * docs * docs * types * mixins * mixins * docs * typo
2020-06-19 15:00:46 +00:00
- Enabled `prepare_data` from correct processes - clarify local vs global rank ([#2166](https://github.com/PyTorchLightning/pytorch-lightning/pull/2166))
Handle KeyboardInterrupt during training (#2134) * Handle KeyboardInterrupt during training Fixes #2079. * chlog * Fix whitespace * Update callback_hook.py * Update base.py * Update training_loop.py * Update test_trainer.py * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * on_keyboard_interrupt Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-15 10:35:26 +00:00
- Remove explicit flush from tensorboard logger ([#2126](https://github.com/PyTorchLightning/pytorch-lightning/pull/2126))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
- Changed epoch indexing from 1 instead of 0 ([#2206](https://github.com/PyTorchLightning/pytorch-lightning/pull/2206))
Update/merge multi-gpu docs (#2021) * merge multi-gpu docs * extend slurm docs * update links to elastic * format docs and type hints in distrib parts * reference multi-gpu/slurm in trainer args docs * fix doctest * typo * doctest * Apply suggestions from code review Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * wall time * Update docs/source/slurm.rst Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * fix title * update docs for weights summary * update changelog Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com>
2020-06-02 22:50:08 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Deprecated
replace train_percent_check with limit_train_batches (#2220) * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * chlog * deprecated * deprecated * deprecated * tests * tests * Apply suggestions from code review * tests * hydra support * tests * hydra support * hydra support * hydra support * tests * typo * typo * Update test_dataloaders.py * docs * docs * docs * docs Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 17:42:28 +00:00
- Deprecated flags: ([#2213](https://github.com/PyTorchLightning/pytorch-lightning/pull/2213))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
* `overfit_pct` in favour of `overfit_batches`
* `val_percent_check` in favour of `limit_val_batches`
* `test_percent_check` in favour of `limit_test_batches`
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
- Deprecated `ModelCheckpoint`'s attributes `best` and `kth_best_model` ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
set min PT 1.3 (#1917) * set min PT 1.3 * circleCI * mergify * min * chlog * skip
2020-05-22 11:14:08 +00:00
- Dropped official support/testing for older PyTorch versions <1.3 ([#1917](https://github.com/PyTorchLightning/pytorch-lightning/pull/1917))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated Trainer `proc_rank` in favour of `global_rank` ([#2166](https://github.com/PyTorchLightning/pytorch-lightning/pull/2166),
[#2269](https://github.com/PyTorchLightning/pytorch-lightning/pull/2269))
set min PT 1.3 (#1917) * set min PT 1.3 * circleCI * mergify * min * chlog * skip
2020-05-22 11:14:08 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Removed
protect progress bar callback (#1855) * wip protected progress bar settings * remove callback attr from LRfinder * whitespace * changelog
2020-05-25 11:49:23 +00:00
- Removed unintended Trainer argument `progress_bar_callback`, the callback should be passed in by `Trainer(callbacks=[...])` instead ([#1855](https://github.com/PyTorchLightning/pytorch-lightning/pull/1855))
remove deprecated API for v0.8 (#2073) * remove deprecated API * chlog * times * missed * formatting check * missing * missing * miss * fix docs build error * fix pep whitespace error * docs * wip * amp_level * amp_level Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-12 18:37:52 +00:00
- Removed obsolete `self._device` in Trainer ([#1849](https://github.com/PyTorchLightning/pytorch-lightning/pull/1849))
- Removed deprecated API ([#2073](https://github.com/PyTorchLightning/pytorch-lightning/pull/2073))
* Packages: `pytorch_lightning.pt_overrides`, `pytorch_lightning.root_module`
* Modules: `pytorch_lightning.logging.comet_logger`, `pytorch_lightning.logging.mlflow_logger`, `pytorch_lightning.logging.test_tube_logger`, `pytorch_lightning.overrides.override_data_parallel`, `pytorch_lightning.core.model_saving`, `pytorch_lightning.core.root_module`
* Trainer arguments: `add_row_log_interval`, `default_save_path`, `gradient_clip`, `nb_gpu_nodes`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`
* Trainer attributes: `nb_gpu_nodes`, `num_gpu_nodes`, `gradient_clip`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`, `default_save_path`, `tng_tqdm_dic`
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Fixed
Graceful shutdown on python interpreter exit (#1631) * Fraceful shutdown on python interpreter exit * Update CHANGELOG.md * Update training_loop.py * Update training_loop.py * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * pep8, move to constant * Update training_loop.py * Update training_loop.py * Update training_loop.py * pep8, move to constant * pep8 * timeout Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-29 14:20:04 +00:00
- Run graceful training teardown on interpreter exit ([#1631](https://github.com/PyTorchLightning/pytorch-lightning/pull/1631))
Fix user warning produced by apex + scheduler combination (#1873) * fix user error produced by apex + scheduler combination * add changelog * added reinit to every configure_apex call * fix styling Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-22 11:19:37 +00:00
- Fixed user warning when apex was used together with learning rate schedulers ([#1873](https://github.com/PyTorchLightning/pytorch-lightning/pull/1873))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Fixed multiple calls of `EarlyStopping` callback ([#1863](https://github.com/PyTorchLightning/pytorch-lightning/pull/1863))
handle unknown args passed to Trainer.from_argparse_args (#1932) * filter valid args * error on unknown manual args * added test * changelog * update docs and doctest * simplify * doctest * doctest * doctest * better test with mock check for init call * fstring * extend test * skip test on 3.6 not working Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-25 20:01:29 +00:00
- Fixed an issue with `Trainer.from_argparse_args` when passing in unknown Trainer args ([#1932](https://github.com/PyTorchLightning/pytorch-lightning/pull/1932))
LearningRateLogger in multi-scheduler setting (#1944) * fixed undesired behaviour due to dict.fromkeys * a test for log length consistency * runtime-warn if no schedulers are configured * chlog * move Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-28 02:44:46 +00:00
- Fixed bug related to logger not being reset correctly for model after tuner algorithms ([#1933](https://github.com/PyTorchLightning/pytorch-lightning/pull/1933))
code guideline (#1949) * code rule * Apply suggestions from code review Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> * chlog Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-05-28 14:40:49 +00:00
- Fixed root node resolution for SLURM cluster with dash in host name ([#1954](https://github.com/PyTorchLightning/pytorch-lightning/pull/1954))
- Fixed `LearningRateLogger` in multi-scheduler setting ([#1944](https://github.com/PyTorchLightning/pytorch-lightning/pull/1944))
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
- Fixed test configuration check and testing ([#1804](https://github.com/PyTorchLightning/pytorch-lightning/pull/1804))
- Fixed an issue with Trainer constructor silently ignoring unknown/misspelled arguments ([#1820](https://github.com/PyTorchLightning/pytorch-lightning/pull/1820))
- Fixed `save_weights_only` in ModelCheckpoint ([#1780](https://github.com/PyTorchLightning/pytorch-lightning/pull/1780))
fix(wandb): use same logger on multiple training loops (#2055) * fix(wandb): use same logger on multiple training loops New training loops reset step to 0 which would previously try to overwrite logs fix #2015 * docs(changelog.md): add reference to PR 2055
2020-06-02 22:46:02 +00:00
- Allow use of same `WandbLogger` instance for multiple training loops ([#2055](https://github.com/PyTorchLightning/pytorch-lightning/pull/2055))
update hparams, allow OmegaConf (#2047) * DictConf * inits * Apply suggestions from code review Co-authored-by: Omry Yadan <omry@fb.com> * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * atrib * wip * wip * wip * added hparams test * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * Update test_hparams.py * added hparams test * added hparams test * pep8 * pep8 * pep8 * docs * wip * wip * clean * review @omry * Update docs/source/hyperparameters.rst Co-authored-by: Omry Yadan <omry@fb.com> Co-authored-by: Omry Yadan <omry@fb.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-06-08 11:19:34 +00:00
- Fixed an issue with `_auto_collect_arguments` collecting local variables that are not constructor arguments and not working for signatures that have the instance not named `self` ([#2048](https://github.com/PyTorchLightning/pytorch-lightning/pull/2048))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Fixed mistake in parameters' grad norm tracking ([#2012](https://github.com/PyTorchLightning/pytorch-lightning/pull/2012))
- Fixed CPU and hanging GPU crash ([#2118](https://github.com/PyTorchLightning/pytorch-lightning/pull/2118))
Refactor model summary + generalize example input array (#1773) * squash variant a variant b add test revert rename add changelog docs move changelog entry to top use hooks wip wipp layer summary clean up, refactor type hints rename remove obsolete code rename unused imports simplify formatting of table and increase readability doctest superclass object update examples print unknown sizes more docs and doctest testing unknown layers add rnn test remove main restore train mode test device wip device constant simplify model forward transfer return summary object in method extend tests fix summary for empty module extend tests refactor and added hook variant a variant b add test revert rename add changelog docs move changelog entry to top remove hardcoded string simplify test unknown shapes and all others comments for tests fix hparams attribute * update default * unused import * clean up * replace hardcoded strings * fix doctest * fix top/full * black * fix rnn test * fix rnn * update debugging docs update docs typo update docs update docs * add changelog * extract constant * setter and getter * move parity models to test folder * parameterize mode
2020-06-15 21:05:58 +00:00
- Fixed an issue with the model summary and `example_input_array` depending on a specific ordering of the submodules in a LightningModule ([#1773](https://github.com/PyTorchLightning/pytorch-lightning/pull/1773))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
- Fixed Tpu logging ([#2230](https://github.com/PyTorchLightning/pytorch-lightning/pull/2230))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed Pid port + duplicate `rank_zero` logging ([#2140](https://github.com/PyTorchLightning/pytorch-lightning/pull/2140),
[#2231](https://github.com/PyTorchLightning/pytorch-lightning/pull/2231))
Refactor model summary + generalize example input array (#1773) * squash variant a variant b add test revert rename add changelog docs move changelog entry to top use hooks wip wipp layer summary clean up, refactor type hints rename remove obsolete code rename unused imports simplify formatting of table and increase readability doctest superclass object update examples print unknown sizes more docs and doctest testing unknown layers add rnn test remove main restore train mode test device wip device constant simplify model forward transfer return summary object in method extend tests fix summary for empty module extend tests refactor and added hook variant a variant b add test revert rename add changelog docs move changelog entry to top remove hardcoded string simplify test unknown shapes and all others comments for tests fix hparams attribute * update default * unused import * clean up * replace hardcoded strings * fix doctest * fix top/full * black * fix rnn test * fix rnn * update debugging docs update docs typo update docs update docs * add changelog * extract constant * setter and getter * move parity models to test folder * parameterize mode
2020-06-15 21:05:58 +00:00
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
## [0.7.6] - 2020-05-16
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Added
Learning rate log callback (#1498) * base implementation * docs + implementation * fix styling * add lr string * renaming * CHANGELOG.md * add tests * Apply suggestions from code review Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update pytorch_lightning/callbacks/lr_logger.py * Update pytorch_lightning/callbacks/lr_logger.py * add test for naming * base implementation * docs + implementation * fix styling * add lr string * renaming * CHANGELOG.md * add tests * Apply suggestions from code review Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update pytorch_lightning/callbacks/lr_logger.py * Update pytorch_lightning/callbacks/lr_logger.py * add test for naming * Update pytorch_lightning/callbacks/lr_logger.py Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * suggestions from code review * fix styling * rebase * fix tests Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-04-30 12:06:41 +00:00
- Added callback for logging learning rates ([#1498](https://github.com/PyTorchLightning/pytorch-lightning/pull/1498))
Transfer learning example (#1564) * Fine tuning example. * Fix (in train method) + Borda's comments (added argparse + fixed docstrings). * Updated CHANGELOG.md * Fix + updated docstring. * Fixes (awaelchli's comments) + docstrings. * Fix train/val loss. * Fix.
2020-05-02 13:08:46 +00:00
- Added transfer learning example (for a binary classification task in computer vision) ([#1564](https://github.com/PyTorchLightning/pytorch-lightning/pull/1564))
Update type hints for multiple dataloaders in .fit() and .test() (#1723) * update typehints * change log
2020-05-04 12:24:34 +00:00
- Added type hints in `Trainer.fit()` and `Trainer.test()` to reflect that also a list of dataloaders can be passed in ([#1723](https://github.com/PyTorchLightning/pytorch-lightning/pull/1723)).
Feature: auto scale batch size (#1638) * auto batch finder * fix styling * add description * add different modes * fix copy paste error * better organised code * fix styling * add tests * fix * fix * add some documentation * added CHANGELOG.md * some documentation * update based on review * Update trainer.py * Update docs/source/training_tricks.rst Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update tests/trainer/test_trainer_tricks.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/trainer/test_trainer_tricks.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * use EvalModelTemplate * param tests * rename * wrap params * rename function * rename * rename param * fix * abs * rename * refactor code * add docs * try * arg * loop * exept * loop * drop bool * docs * docs * added check and test for passing dataloader to fit * styling fix * update based on review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-09 12:28:36 +00:00
- Added auto scaling of batch size ([#1638](https://github.com/PyTorchLightning/pytorch-lightning/pull/1638))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- The progress bar metrics now also get updated in `training_epoch_end` ([#1724](https://github.com/PyTorchLightning/pytorch-lightning/pull/1724))
- Enable `NeptuneLogger` to work with `distributed_backend=ddp` ([#1753](https://github.com/PyTorchLightning/pytorch-lightning/pull/1753))
Option to provide seed to random generators to ensure reproducibility (#1572) * Option to provide seed to random generators to ensure reproducibility I added small function in utilities which imports torch, numpy, python random and sets seed for all of the libraries to ensure reproducibility of results. * Apply recommendations from core contributors on seeding 1. Moved the seeding code to another file 2. Make deterministic as a parameter for trainer class 3. Add assertions for seeding numpy 4. Added warnings 5. torch.manual_seed should be enough for seeding torch * Revert "Apply recommendations from core contributors on seeding" This reverts commit a213c8e6882eec8a9e7408b9418926d2db7c5461. * Revert "Revert "Apply recommendations from core contributors on seeding"" This reverts commit 59b2da53c62878de7aab0aa3feb3115e105eea06. * Change in test, for correct seeding * Allow seed equal to 0 * Allow seed to be uint32.max * Added deterministic to benchmarks * Cuda manual seed as in benchmark seeding * Seeding should be done before model initialization * cuda manual_seed is not necessary * Fixing seed test_cpu_lbfgs On some seeds seems like lbfgs doesn't converge. So I fixed the seed during testing. * rebasing issue with old reproducibility.py * Improved documentation and ability to seed before initializing Train class * Change in docs * Removed seed from trainer, update for documentation * Typo in the docs * Added seed_everything to _all_ * Fixing old changes * Model initialization should be earlier then Trainer * Update pytorch_lightning/trainer/__init__.py From Example to testcode Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Fixing according to the contributors suggestions * Moving horovod deterministic to Trainer class * deterministic flag affects horovod docs update * Improved static typing * Added deterministic to test runners of horovod It is failing on some versions, not very predictable * static seeds for horovod tests * Change for reset_seed function in tests * Seeding horovod using reset_seed from tutils * Update pytorch_lightning/trainer/__init__.py * chlog * Update trainer.py * change "testcode" to "Example" in trainer init documentation * Update pytorch_lightning/trainer/seed.py, first line in comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-12 11:53:20 +00:00
- Added option to provide seed to random generators to ensure reproducibility ([#1572](https://github.com/PyTorchLightning/pytorch-lightning/pull/1572))
added override for hparams in load_from_ckpt (#1797) * added override for hparams in load_from_ckpt * override hparams * override hparams * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update doctest * typo * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-13 08:27:22 +00:00
- Added override for hparams in `load_from_ckpt` ([#1797](https://github.com/PyTorchLightning/pytorch-lightning/pull/1797))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added support multi-node distributed execution under `torchelastic` ([#1811](https://github.com/PyTorchLightning/pytorch-lightning/pull/1811),
[#1818](https://github.com/PyTorchLightning/pytorch-lightning/pull/1818))
- Added using `store_true` for bool args ([#1822](https://github.com/PyTorchLightning/pytorch-lightning/pull/1822),
[#1842](https://github.com/PyTorchLightning/pytorch-lightning/pull/1842))
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
- Added dummy logger for internally disabling logging for some features ([#1836](https://github.com/PyTorchLightning/pytorch-lightning/pull/1836))
added override for hparams in load_from_ckpt (#1797) * added override for hparams in load_from_ckpt * override hparams * override hparams * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update doctest * typo * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-13 08:27:22 +00:00
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Changed
Attach version_ to checkpoint path only if version is int (#1748)
2020-05-06 16:38:32 +00:00
Enable non-blocking for gpu device transfer (#1843) * Update distrib_parts.py * Update CHANGELOG.md
2020-05-14 21:56:40 +00:00
- Enable `non-blocking` for device transfers to GPU ([#1843](https://github.com/PyTorchLightning/pytorch-lightning/pull/1843))
Replace meta_tags.csv with hparams.yaml (#1271) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict * mata_tags.csv -> hparams.yaml * code style fixes * add pyyaml * remove unused import * create the member NAME_HPARAMS_FILE * improve tests * Update tensorboard.py * pass the local test w/o relavents of Horovod * formatting * update dependencies * fix dependencies * Apply suggestions from code review * add savings * warn * docstrings * tests * Apply suggestions from code review * saving * Apply suggestions from code review * use default * remove logging * typo fixes * update docs * update CHANGELOG * clean imports * add blank lines * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * back to namespace * add docs * test fix * update dependencies * add space Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-13 13:05:15 +00:00
- Replace mata_tags.csv with hparams.yaml ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
[WIP] Reduction when batch size < num gpus (#1609) * reduce if <= num_gpus * add test with explanation * chlog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-05-02 15:01:44 +00:00
- Reduction when `batch_size < num_gpus` ([#1609](https://github.com/PyTorchLightning/pytorch-lightning/pull/1609))
Bugfix/lr finder (#1676) * fix early stopping bug * allow val dataloader * update CHANGELOG.md * fix early stopping bug * allow val dataloader * update CHANGELOG.md Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-04 15:38:51 +00:00
- Updated LightningTemplateModel to look more like Colab example ([#1577](https://github.com/PyTorchLightning/pytorch-lightning/pull/1577))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- Don't convert `namedtuple` to `tuple` when transferring the batch to target device ([#1589](https://github.com/PyTorchLightning/pytorch-lightning/pull/1589))
- Allow passing hparams as keyword argument to LightningModule when loading from checkpoint ([#1639](https://github.com/PyTorchLightning/pytorch-lightning/pull/1639))
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
- Args should come after the last positional argument ([#1807](https://github.com/PyTorchLightning/pytorch-lightning/pull/1807))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Made ddp the default if no backend specified with multiple GPUs ([#1789](https://github.com/PyTorchLightning/pytorch-lightning/pull/1789))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Deprecated
Replace meta_tags.csv with hparams.yaml (#1271) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict * mata_tags.csv -> hparams.yaml * code style fixes * add pyyaml * remove unused import * create the member NAME_HPARAMS_FILE * improve tests * Update tensorboard.py * pass the local test w/o relavents of Horovod * formatting * update dependencies * fix dependencies * Apply suggestions from code review * add savings * warn * docstrings * tests * Apply suggestions from code review * saving * Apply suggestions from code review * use default * remove logging * typo fixes * update docs * update CHANGELOG * clean imports * add blank lines * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * back to namespace * add docs * test fix * update dependencies * add space Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-13 13:05:15 +00:00
- Deprecated `tags_csv` in favor of `hparams_file` ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Fixed
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- Fixed broken link in PR template ([#1675](https://github.com/PyTorchLightning/pytorch-lightning/pull/1675))
- Fixed ModelCheckpoint not None checking filepath ([#1654](https://github.com/PyTorchLightning/pytorch-lightning/pull/1654))
- Trainer now calls `on_load_checkpoint()` when resuming from a checkpoint ([#1666](https://github.com/PyTorchLightning/pytorch-lightning/pull/1666))
- Fixed sampler logic for ddp with iterable dataset ([#1734](https://github.com/PyTorchLightning/pytorch-lightning/pull/1734))
- Fixed `_reset_eval_dataloader()` for IterableDataset ([#1560](https://github.com/PyTorchLightning/pytorch-lightning/pull/1560))
Fix Horovod distributed backend to set the root_gpu property (#1669) * params * drop acc * Fix Horovod distributed backend to set the root_gpu * Fixed test * Fixed tests * Fixed lint * Set root_gpu during initialization * chlog Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-01 18:13:35 +00:00
- Fixed Horovod distributed backend to set the `root_gpu` property ([#1669](https://github.com/PyTorchLightning/pytorch-lightning/pull/1669))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Fixed wandb logger `global_step` affects other loggers ([#1492](https://github.com/PyTorchLightning/pytorch-lightning/pull/1492))
Fix disabling progress bar on non-zero ranks using Horovod backend (#1709) * Fix Horovod backend to disable progress bar on all ranks except 0 * Add join barriers * Added changelog * Make protected and add verbosity * Refactor to disable progress bar callback in train * Removed vebose setting * Add cache check for Horovod * Test run again * Updated comment * Always skip cache for Horovod * Only reinstall when necessary * Added separate step * Fixed spacing * Skip Python 3.8
2020-05-04 17:02:57 +00:00
- Fixed disabling progress bar on non-zero ranks using Horovod backend ([#1709](https://github.com/PyTorchLightning/pytorch-lightning/pull/1709))
Bugfix/lr finder (#1676) * fix early stopping bug * allow val dataloader * update CHANGELOG.md * fix early stopping bug * allow val dataloader * update CHANGELOG.md Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-04 15:38:51 +00:00
- Fixed bugs that prevent lr finder to be used together with early stopping and validation dataloaders ([#1676](https://github.com/PyTorchLightning/pytorch-lightning/pull/1676))
Attach version_ to checkpoint path only if version is int (#1748)
2020-05-06 16:38:32 +00:00
- Fixed a bug in Trainer that prepended the checkpoint path with `version_` when it shouldn't ([#1748](https://github.com/PyTorchLightning/pytorch-lightning/pull/1748))
Fix lr key name in case of param groups (#1719) * Fix lr key name in case of param groups * Add tests * Update test and added configure_optimizers__param_groups * Update CHANGELOG
2020-05-10 21:05:34 +00:00
- Fixed lr key name in case of param groups in LearningRateLogger ([#1719](https://github.com/PyTorchLightning/pytorch-lightning/pull/1719))
Fix saving native AMP scaler state (#1777) Saving was introduced in #1561.
2020-05-12 01:38:37 +00:00
- Fixed saving native AMP scaler state (introduced in [#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561))
Bugfix: accumulation and suggestion for learning rate finder (#1801) * fix suggestion being too naive * fix accumulation error and added new tests * fix styling * update CHANGELOG.md * update based on review * fix tests * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-13 18:40:44 +00:00
- Fixed accumulation parameter and suggestion method for learning rate finder ([#1801](https://github.com/PyTorchLightning/pytorch-lightning/pull/1801))
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
- Fixed num processes wasn't being set properly and auto sampler was ddp failing ([#1819](https://github.com/PyTorchLightning/pytorch-lightning/pull/1819))
- Fixed bugs in semantic segmentation example ([#1824](https://github.com/PyTorchLightning/pytorch-lightning/pull/1824))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed saving native AMP scaler state ([#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561),
[#1777](https://github.com/PyTorchLightning/pytorch-lightning/pull/1777))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Fixed native amp + ddp ([#1788](https://github.com/PyTorchLightning/pytorch-lightning/pull/1788))
- Fixed `hparam` logging with metrics ([#1647](https://github.com/PyTorchLightning/pytorch-lightning/pull/1647))
releasing
2020-04-27 14:20:32 +00:00
## [0.7.5] - 2020-04-27
Add automatic GPU choice to trainer (#1426) * 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
2020-04-10 15:45:29 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
### Changed
None check for filepath in ModelCheckpoint (#1654) Check if the optional filepath is None before checking if it exists Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-04-29 16:36:28 +00:00
releasing
2020-04-27 14:20:32 +00:00
- Allow logging of metrics together with `hparams` ([#1630](https://github.com/PyTorchLightning/pytorch-lightning/pull/1630))
- Allow metrics logged together with hparams ([#1630](https://github.com/PyTorchLightning/pytorch-lightning/pull/1630))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
### Removed
Add SLURM check in ddp_train() and init_ddp_connection() (#1387) * slurm check in ddp_train and init_ddp_connection * Remove code example in init_ddp_connection Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove blank line Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * improve for test coverage Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update changelog * Default values and warnings for DDP env variables * fix merge artifacts * update localhost value * change to NODE_RANK Co-authored-by: Alexander Reshytko <areshytko@Alexanders-MacBook-Pro.local> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-19 21:08:19 +00:00
Remove warning (#1634) Remove warning Update CHANGELOG.md
2020-04-22 14:13:55 +00:00
- Removed Warning from trainer loop ([#1634](https://github.com/PyTorchLightning/pytorch-lightning/pull/1634))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
### Fixed
Add SLURM check in ddp_train() and init_ddp_connection() (#1387) * slurm check in ddp_train and init_ddp_connection * Remove code example in init_ddp_connection Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove blank line Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * improve for test coverage Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update changelog * Default values and warnings for DDP env variables * fix merge artifacts * update localhost value * change to NODE_RANK Co-authored-by: Alexander Reshytko <areshytko@Alexanders-MacBook-Pro.local> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-19 21:08:19 +00:00
releasing
2020-04-27 14:20:32 +00:00
- Fixed ModelCheckpoint not being fixable ([#1632](https://github.com/PyTorchLightning/pytorch-lightning/pull/1632))
- Fixed CPU DDP breaking change and DDP change ([#1635](https://github.com/PyTorchLightning/pytorch-lightning/pull/1635))
- Tested pickling ([#1636](https://github.com/PyTorchLightning/pytorch-lightning/pull/1636))
Add SLURM check in ddp_train() and init_ddp_connection() (#1387) * slurm check in ddp_train and init_ddp_connection * Remove code example in init_ddp_connection Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove blank line Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * improve for test coverage Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update changelog * Default values and warnings for DDP env variables * fix merge artifacts * update localhost value * change to NODE_RANK Co-authored-by: Alexander Reshytko <areshytko@Alexanders-MacBook-Pro.local> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-19 21:08:19 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
## [0.7.4] - 2020-04-26
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
### Added
Add automatic GPU choice to trainer (#1426) * 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
2020-04-10 15:45:29 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Added flag `replace_sampler_ddp` to manually disable sampler replacement in DDP ([#1513](https://github.com/PyTorchLightning/pytorch-lightning/pull/1513))
- Added speed parity tests (max 1 sec difference per epoch)([#1482](https://github.com/PyTorchLightning/pytorch-lightning/pull/1482))
- Added `auto_select_gpus` flag to trainer that enables automatic selection of available GPUs on exclusive mode systems.
- Added learning rate finder ([#1347](https://github.com/PyTorchLightning/pytorch-lightning/pull/1347))
- Added support for ddp mode in clusters without SLURM ([#1387](https://github.com/PyTorchLightning/pytorch-lightning/pull/1387))
- Added `test_dataloaders` parameter to `Trainer.test()` ([#1434](https://github.com/PyTorchLightning/pytorch-lightning/pull/1434))
- Added `terminate_on_nan` flag to trainer that performs a NaN check with each training iteration when set to `True` ([#1475](https://github.com/PyTorchLightning/pytorch-lightning/pull/1475))
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
- Added speed parity tests (max 1 sec difference per epoch)([#1482](https://github.com/PyTorchLightning/pytorch-lightning/pull/1482))
- Added `terminate_on_nan` flag to trainer that performs a NaN check with each training iteration when set to `True`. ([#1475](https://github.com/PyTorchLightning/pytorch-lightning/pull/1475))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Added `ddp_cpu` backend for testing ddp without GPUs ([#1158](https://github.com/PyTorchLightning/pytorch-lightning/pull/1158))
Added Horovod distributed backend (#1529) * Initial commit of Horovod distributed backend implementation * Update distrib_data_parallel.py * Update distrib_data_parallel.py * Update tests/models/test_horovod.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/models/test_horovod.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fixed tests * Added six * tests * Install tox for GitHub CI * Retry tests * Catch all exceptions * Skip cache * Remove tox * Restore pip cache * Remove the cache * Restore pip cache * Remove AMP 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>
2020-04-22 21:39:08 +00:00
- Added [Horovod](http://horovod.ai) support as a distributed backend `Trainer(distributed_backend='horovod')` ([#1529](https://github.com/PyTorchLightning/pytorch-lightning/pull/1529))
fix changelog (#1583)
2020-04-23 20:57:37 +00:00
- Added support for 8 core distributed training on Kaggle TPU's ([#1568](https://github.com/PyTorchLightning/pytorch-lightning/pull/1568))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added support for native AMP ([#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561),
[#1580](https://github.com/PyTorchLightning/pytorch-lightning/pull/1580))
check for kaggle env variable (#1568) * check for kaggle env variable * added changelog
2020-04-23 11:12:54 +00:00
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Changed
Replace automatic nan check with optional flag (#1475) * Replace automatic nan check with optional flag * Update CHANGELOG.md
2020-04-13 18:06:25 +00:00
- Changed the default behaviour to no longer include a NaN check with each training iteration. ([#1475](https://github.com/PyTorchLightning/pytorch-lightning/pull/1475))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Decoupled the progress bar from trainer` it is a callback now and can be customized or even be replaced entirely ([#1450](https://github.com/PyTorchLightning/pytorch-lightning/pull/1450)).
- Changed lr schedule step interval behavior to update every backwards pass instead of every forwards pass ([#1477](https://github.com/PyTorchLightning/pytorch-lightning/pull/1477))
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
- Defines shared proc. rank, remove rank from instances (e.g. loggers) ([#1408](https://github.com/PyTorchLightning/pytorch-lightning/pull/1408))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Updated semantic segmentation example with custom U-Net and logging ([#1371](https://github.com/PyTorchLightning/pytorch-lightning/pull/1371))
- Disabled val and test shuffling ([#1600](https://github.com/PyTorchLightning/pytorch-lightning/pull/1600))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Deprecated
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Deprecated `training_tqdm_dict` in favor of `progress_bar_dict` ([#1450](https://github.com/PyTorchLightning/pytorch-lightning/pull/1450)).
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Removed
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Removed `test_dataloaders` parameter from `Trainer.fit()` ([#1434](https://github.com/PyTorchLightning/pytorch-lightning/pull/1434))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Fixed
Nested metrics dictionaries now can be passed to the loggers (#1582) * now func merge_dicts works with nested dictionaries * CHANGELOG.md upd
2020-04-23 21:32:36 +00:00
- Added the possibility to pass nested metrics dictionaries to loggers ([#1582](https://github.com/PyTorchLightning/pytorch-lightning/pull/1582))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Fixed memory leak from opt return ([#1528](https://github.com/PyTorchLightning/pytorch-lightning/pull/1528))
feat: save checkpoint before deleting old ones (#1453) * feat: save checkpoint before deleting old ones * fix: make sure that the new model is not deleted * changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-16 16:40:51 +00:00
- Fixed saving checkpoint before deleting old ones ([#1453](https://github.com/PyTorchLightning/pytorch-lightning/pull/1453))
fix flushing loggers (#1459) * flushing loggers * flushing loggers * flushing loggers * flushing loggers * changelog * typo * fix trains * optimize imports * add logger test all * add logger test pickle * flake8 * fix benchmark * hanging loggers * try * del * all * cleaning
2020-04-15 00:32:33 +00:00
- Fixed loggers - flushing last logged metrics even before continue, e.g. `trainer.test()` results ([#1459](https://github.com/PyTorchLightning/pytorch-lightning/pull/1459))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Fixed optimizer configuration when `configure_optimizers` returns dict without `lr_scheduler` ([#1443](https://github.com/PyTorchLightning/pytorch-lightning/pull/1443))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed `LightningModule` - mixing hparams and arguments in `LightningModule.__init__()` crashes load_from_checkpoint() ([#1505](https://github.com/PyTorchLightning/pytorch-lightning/pull/1505))
None check for filepath in ModelCheckpoint (#1654) Check if the optional filepath is None before checking if it exists Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-04-29 16:36:28 +00:00
- Added a missing call to the `on_before_zero_grad` model hook ([#1493](https://github.com/PyTorchLightning/pytorch-lightning/pull/1493)).
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Allow use of sweeps with `WandbLogger` ([#1512](https://github.com/PyTorchLightning/pytorch-lightning/pull/1512))
Fix callback default (horror bug!) (#1534) * fix horror bug * update changelog * fix doctest * liine too long
2020-04-20 11:02:53 +00:00
- Fixed a bug that caused the `callbacks` Trainer argument to reference a global variable ([#1534](https://github.com/PyTorchLightning/pytorch-lightning/pull/1534)).
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed a bug that set all boolean CLI arguments from `Trainer.add_argparse_args` always to True ([#1571](https://github.com/PyTorchLightning/pytorch-lightning/pull/1571))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed do not copy the batch when training on a single GPU ([#1576](https://github.com/PyTorchLightning/pytorch-lightning/pull/1576),
[#1579](https://github.com/PyTorchLightning/pytorch-lightning/pull/1579))
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
- Fixed soft checkpoint removing on DDP ([#1408](https://github.com/PyTorchLightning/pytorch-lightning/pull/1408))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed automatic parser bug ([#1585](https://github.com/PyTorchLightning/pytorch-lightning/pull/1585))
- Fixed bool conversion from string ([#1606](https://github.com/PyTorchLightning/pytorch-lightning/pull/1606))
Clean up Argparse interface with trainer (#1606) * fixed distutil parsing * fixed distutil parsing * Apply suggestions from code review * log * fixed distutil parsing * fixed distutil parsing * fixed distutil parsing * fixed distutil parsing * doctest * fixed hparams section * fixed hparams section * fixed hparams section * formatting Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-26 13:20:06 +00:00
add rank warning (#1428) * add rank warning * changelog * use rank_zero_warn * user trainer_init * replace warnings * fix test * flake8 * docs * changelog * bug lol
2020-04-09 18:05:46 +00:00
## [0.7.3] - 2020-04-09
### Added
- Added `rank_zero_warn` for warning only in rank 0 ([#1428](https://github.com/PyTorchLightning/pytorch-lightning/pull/1428))
### Fixed
- Fixed default `DistributedSampler` for DDP training ([#1425](https://github.com/PyTorchLightning/pytorch-lightning/pull/1425))
- Fixed workers warning not on windows ([#1430](https://github.com/PyTorchLightning/pytorch-lightning/pull/1430))
fix retruning returns (#1431) * returns * changelog
2020-04-09 19:01:08 +00:00
- Fixed returning tuple from `run_training_batch` ([#1431](https://github.com/PyTorchLightning/pytorch-lightning/pull/1431))
fix pretty print (#1441) * grid sample * grid sample * grid sample * grid sample * grid sample * changelog * version Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-10 12:43:22 +00:00
- Fixed gradient clipping ([#1438](https://github.com/PyTorchLightning/pytorch-lightning/pull/1438))
- Fixed pretty print ([#1441](https://github.com/PyTorchLightning/pytorch-lightning/pull/1441))
add rank warning (#1428) * add rank warning * changelog * use rank_zero_warn * user trainer_init * replace warnings * fix test * flake8 * docs * changelog * bug lol
2020-04-09 18:05:46 +00:00
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
add pypi user (#1401) * add pypi user * changelog * changelog
2020-04-07 13:49:38 +00:00
## [0.7.2] - 2020-04-07
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Added
Added accumulation of loggers' metrics for the same steps (#1278) * `add_argparse_args` method fixed (argument types added) * autopep8 fixes * --gpus=0 removed from test (for ci tests) * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> * test_with_accumulate_grad_batches added * agg_and_log_metrics logic added to the base logger class * small format fix * agg metrics strategies removed (not to complicate stuff) * agg metrics: handle zero step * autopep8 * changelog upd * flake fix * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove .item which causes sync issues (#1254) * remove .item which causes sync issues * fixed gradient acc sched * fixed gradient acc sched * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * autopep8 * loggers base.py types fixed * test * test * metrics aggregation for loggers: each key now has a specific function (or default one) * metrics aggregation for loggers: each key now has a specific function (or default one) * docstrings upd * manual typehints removed from docstrings * batch_size decreased for test `test_with_accumulate_grad_batches` * extend running accum * refactor * fix tests * fix tests * allowed_types generator scoped * trainer.py distutils was imported twice, fixed * TensorRunningAccum refactored * TensorRunningAccum added to change log (Changed) * change log pull link added Co-authored-by: Joe Davison <joe@huggingface.co> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-08 12:35:47 +00:00
- Added same step loggers' metrics aggregation ([#1278](https://github.com/PyTorchLightning/pytorch-lightning/pull/1278))
simplify examples structure (#1247) * simplify examples structure * update changelog * fix imports * rename example * rename scripts * changelog
2020-04-03 21:57:34 +00:00
- Added parity test between a vanilla MNIST model and lightning model ([#1284](https://github.com/PyTorchLightning/pytorch-lightning/pull/1284))
- Added parity test between a vanilla RNN model and lightning model ([#1351](https://github.com/PyTorchLightning/pytorch-lightning/pull/1351))
Example: Simple RL example using DQN/Lightning (#1232) * Example: Simple RL example using DQN/Lightning * DQN RL Agent using Lightning * Uses Iterable Dataset for Replay Buffer * Buffer is populated by agent as training is carried out, updating the dataset * Applied autopep8 fixes * * Updated line length from 120 to 110 * Update pl_examples/domain_templates/dqn.py simplify get_device method Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pl_examples/domain_templates/dqn.py Re-ordered imports Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * CI: split tests-examples (#990) * CI: split tests-examples * tests without template * comment depends * CircleCI typo * add doctest * update test req. * CI tests * setup macOS * longer train * lover pred acc * fix model * rename default model * lower tests acc * typo * imports * fix test optimizer * update calls * fix Win * lower Drone image * fix call * pytorch image * fix test * add dev image * add dev image * update image * drone volume * lint * update test notes * rename tests/models >> tests/base * group models * conftest * optim imports * typos * fix import * fix tests * install AMP * tests * fix import * Clean up * added module docstring * renamed variables to be more descriptive * Added missing docstrings and type annotations * Added gym to example requirements * Added note to changelog * updated example image * update types * rename script * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * another rename * Disable validation when val_percent_check=0 (#1251) * fix disable validation * add test * update changelog * update docs for val_percent_check * make "fast training" docs consistent * calling self.forward() -> self() (#1211) * self.forward() -> self() * update changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Fix requirements-extra.txt Trains package to release version (#1229) * Fix requirement-extra use released Trains package * Update README.md add Trains and links to the external Visualization section Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Remove unnecessary parameters to super() in documentation and source code (#1240) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update deprecation warning (#1258) * update docs for progress bat values (#1253) * lower timeouts for inactive issues (#1250) * update contrib list (#1241) Co-authored-by: William Falcon <waf2107@columbia.edu> * Fix outdated docs (#1227) * Fix typo (#1224) * drop unused Tox (#1242) * system info (#1234) * system info * update big info * test script * update config * rename script * import path * Changed smoothing in tqdm to decrease variability of time remaining between training / eval (#1194) * Example: Simple RL example using DQN/Lightning * DQN RL Agent using Lightning * Uses Iterable Dataset for Replay Buffer * Buffer is populated by agent as training is carried out, updating the dataset * Applied autopep8 fixes * * Updated line length from 120 to 110 * Update pl_examples/domain_templates/dqn.py simplify get_device method Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pl_examples/domain_templates/dqn.py Re-ordered imports Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Clean up * added module docstring * renamed variables to be more descriptive * Added missing docstrings and type annotations * Added gym to example requirements * Added note to changelog * update types * rename script * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * another rename Co-authored-by: Donal Byrne <Donal.Byrne@xperi.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> Co-authored-by: Martin.B <51887611+bmartinn@users.noreply.github.com> Co-authored-by: Tyler Yep <tyep@stanford.edu> Co-authored-by: Shunta Komatsu <59395084+skmatz@users.noreply.github.com> Co-authored-by: Jack Pertschuk <jackpertschuk@gmail.com>
2020-03-28 20:10:53 +00:00
- Added Reinforcement Learning - Deep Q-network (DQN) lightning example ([#1232](https://github.com/PyTorchLightning/pytorch-lightning/pull/1232))
Support hierarchical dict (#1152) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-19 13:15:47 +00:00
- Added support for hierarchical `dict` ([#1152](https://github.com/PyTorchLightning/pytorch-lightning/pull/1152))
Add TRAINS experiment manager support (#1122) * Add allegro.ai TRAINS experiment manager support * improve docstring and type hinting, fix the bug in log_metrics, add support torch.Tensor to input into log_image * complete missing docstring of constructor's arguments * fix docs * pep8 * pep8 * remove redundant typing use logging fix typing and pep8 * remove deprecated interface * add TrainsLogger test * add TrainsLogger PR in CHANGELOG * add id/name property documentation * change logging as log Co-authored-by: bmartinn <> Co-authored-by: Sou Uchida <s.aiueo32@gmail.com>
2020-03-14 17:02:14 +00:00
- Added `TrainsLogger` class ([#1122](https://github.com/PyTorchLightning/pytorch-lightning/pull/1122))
Type Hints for Lightning Core (#946) * first pass for LightningModule typehints * fix return types * add missing types * add type annotations to grads.py * add type annotations to hooks.py * add type annotation to memory.py * proper docstring quotation marks * add type annotations to saving.py * fix cyclic import problem * fix cyclic import problem * add missing whitespace * finish type hints for load_from_ methods * docs: prepare_data does not return anything * fix auto types in docs * revert typehint for trainer in hook * remove unnecessary return docs * some fixes for memory docs * revert typing for args kwargs * added all missing None return types * remove unused import * add more details to dict/list return types * fix line too long * optimize imports * linted * Revert "linted" This reverts commit 85559611e84e312bce64f4e73b638d4999a8439e. * remove whitespace * update * update * update * update * update * changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-12 16:47:23 +00:00
- Added type hints to `pytorch_lightning.core` ([#946](https://github.com/PyTorchLightning/pytorch-lightning/pull/946))
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Added support for `IterableDataset` in validation and testing ([#1104](https://github.com/PyTorchLightning/pytorch-lightning/pull/1104))
- Added support for non-primitive types in `hparams` for `TensorboardLogger` ([#1130](https://github.com/PyTorchLightning/pytorch-lightning/pull/1130))
- Added a check that stops the training when loss or weights contain `NaN` or `inf` values. ([#1097](https://github.com/PyTorchLightning/pytorch-lightning/pull/1097))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Added support for `IterableDataset` when `val_check_interval=1.0` (default), this will trigger validation at the end of each epoch. ([#1283](https://github.com/PyTorchLightning/pytorch-lightning/pull/1283))
- Added `summary` method to Profilers. ([#1259](https://github.com/PyTorchLightning/pytorch-lightning/pull/1259))
- Added informative errors if user defined dataloader has zero length ([#1280](https://github.com/PyTorchLightning/pytorch-lightning/pull/1280))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Added testing for python 3.8 ([#915](https://github.com/PyTorchLightning/pytorch-lightning/pull/915))
Doc fixes (#1362) * Doc fixes from #1357 (awaelchli's comments) + changelog. * Fix indentation. * Add blank line to fix doc build?
2020-04-03 19:02:20 +00:00
- Added a `training_epoch_end` method which is the mirror of `validation_epoch_end`. ([#1357](https://github.com/PyTorchLightning/pytorch-lightning/pull/1357))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Added model configuration checking ([#1199](https://github.com/PyTorchLightning/pytorch-lightning/pull/1199))
- Added support for optimizer frequencies through `LightningModule.configure_optimizers()` ([#1269](https://github.com/PyTorchLightning/pytorch-lightning/pull/1269))
- Added option to run without an optimizer by returning `None` from `configure_optimizers`. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
Add warning for few workers (#1378) * Add warning for few workers * Fix style issue * Update CHANGELOG.md * Update test * formatting * formatting Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-05 15:07:16 +00:00
- Added a warning when the number of data loader workers is small. ([#1378](https://github.com/PyTorchLightning/pytorch-lightning/pull/1378))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
Remove default optimizer, add None optimizer option (#1279) * Add warning when using default optimizer * Refactor optimizer tests to test_optimizers * Remove default optimizer, add option to use no optimizer * Update CHANGELOG.md * Update pytorch_lightning/trainer/optimizers.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fix style Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-02 15:48:53 +00:00
### Changed
Added accumulation of loggers' metrics for the same steps (#1278) * `add_argparse_args` method fixed (argument types added) * autopep8 fixes * --gpus=0 removed from test (for ci tests) * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> * test_with_accumulate_grad_batches added * agg_and_log_metrics logic added to the base logger class * small format fix * agg metrics strategies removed (not to complicate stuff) * agg metrics: handle zero step * autopep8 * changelog upd * flake fix * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove .item which causes sync issues (#1254) * remove .item which causes sync issues * fixed gradient acc sched * fixed gradient acc sched * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * autopep8 * loggers base.py types fixed * test * test * metrics aggregation for loggers: each key now has a specific function (or default one) * metrics aggregation for loggers: each key now has a specific function (or default one) * docstrings upd * manual typehints removed from docstrings * batch_size decreased for test `test_with_accumulate_grad_batches` * extend running accum * refactor * fix tests * fix tests * allowed_types generator scoped * trainer.py distutils was imported twice, fixed * TensorRunningAccum refactored * TensorRunningAccum added to change log (Changed) * change log pull link added Co-authored-by: Joe Davison <joe@huggingface.co> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-08 12:35:47 +00:00
- Changed (renamed and refatored) `TensorRunningMean` -> `TensorRunningAccum`: running accumulations were generalized. ([#1278](https://github.com/PyTorchLightning/pytorch-lightning/pull/1278))
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- Changed `progress_bar_refresh_rate` trainer flag to disable progress bar when set to 0. ([#1108](https://github.com/PyTorchLightning/pytorch-lightning/pull/1108))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Enhanced `load_from_checkpoint` to also forward params to the model ([#1307](https://github.com/PyTorchLightning/pytorch-lightning/pull/1307))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
- Updated references to `self.forward()` to instead use the `__call__` interface. ([#1211](https://github.com/PyTorchLightning/pytorch-lightning/pull/1211))
Remove default optimizer, add None optimizer option (#1279) * Add warning when using default optimizer * Refactor optimizer tests to test_optimizers * Remove default optimizer, add option to use no optimizer * Update CHANGELOG.md * Update pytorch_lightning/trainer/optimizers.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fix style Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-02 15:48:53 +00:00
- Changed default behaviour of `configure_optimizers` to use no optimizer rather than Adam. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
feat(wandb): save models on wandb (#1339) * feat(wandb): save models on wandb * docs(changelog): allow to upload models on W&B
2020-04-02 12:55:34 +00:00
- Allow to upload models on W&B ([#1339](https://github.com/PyTorchLightning/pytorch-lightning/pull/1339))
Removes need to unsqueeze from dp (#1319) * 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>
2020-04-02 15:46:20 +00:00
- On DP and DDP2 unsqueeze is automated now ([#1319](https://github.com/PyTorchLightning/pytorch-lightning/pull/1319))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Did not always create a DataLoader during reinstantiation, but the same type as before (if subclass of DataLoader) ([#1346](https://github.com/PyTorchLightning/pytorch-lightning/pull/1346))
- Did not interfere with a default sampler ([#1318](https://github.com/PyTorchLightning/pytorch-lightning/pull/1318))
added warnings to unimplemented methods (#1317) * added warnings and removed default optimizer * opt * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-03 19:06:51 +00:00
- Remove default Adam optimizer ([#1317](https://github.com/PyTorchLightning/pytorch-lightning/pull/1317))
- Give warnings for unimplemented required lightning methods ([#1317](https://github.com/PyTorchLightning/pytorch-lightning/pull/1317))
- Made `evaluate` method private >> `Trainer._evaluate(...)`. ([#1260](https://github.com/PyTorchLightning/pytorch-lightning/pull/1260))
simplify examples structure (#1247) * simplify examples structure * update changelog * fix imports * rename example * rename scripts * changelog
2020-04-03 21:57:34 +00:00
- Simplify the PL examples structure (shallower and more readable) ([#1247](https://github.com/PyTorchLightning/pytorch-lightning/pull/1247))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Changed min max gpu memory to be on their own plots ([#1358](https://github.com/PyTorchLightning/pytorch-lightning/pull/1358))
- Remove `.item` which causes sync issues ([#1254](https://github.com/PyTorchLightning/pytorch-lightning/pull/1254))
- Changed smoothing in TQDM to decrease variability of time remaining between training / eval ([#1194](https://github.com/PyTorchLightning/pytorch-lightning/pull/1194))
- Change default logger to dedicated one ([#1064](https://github.com/PyTorchLightning/pytorch-lightning/pull/1064))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Deprecated
nan detection and intervention (#1097) * check for nan values * test nan detection on loss * sys.exit * whitespace * detect nan and inf values in loss and params * update * added documentation * moved detect nan to training loop, remove flag for print * blank line * test * rename * deprecate print_nan_grads * deprecated print_nan_grads * remove unused imports * update changelog * fix line too long * correct deprecated version Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * raise exception instead of sysexit Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * raise exception instead of sysexit Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/training_tricks.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/training_tricks.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix test Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-19 13:24:45 +00:00
- Deprecated Trainer argument `print_nan_grads` ([#1097](https://github.com/PyTorchLightning/pytorch-lightning/pull/1097))
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- Deprecated Trainer argument `show_progress_bar` ([#1108](https://github.com/PyTorchLightning/pytorch-lightning/pull/1108))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Removed
Remove error when test dataloader used in test (#1495) * 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>
2020-04-16 02:16:40 +00:00
- Removed test for no test dataloader in .fit ([#1495](https://github.com/PyTorchLightning/pytorch-lightning/pull/1495))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Removed duplicated module `pytorch_lightning.utilities.arg_parse` for loading CLI arguments ([#1167](https://github.com/PyTorchLightning/pytorch-lightning/pull/1167))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Removed wandb logger's `finalize` method ([#1193](https://github.com/PyTorchLightning/pytorch-lightning/pull/1193))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Dropped `torchvision` dependency in tests and added own MNIST dataset class instead ([#986](https://github.com/PyTorchLightning/pytorch-lightning/pull/986))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Fixed
model_checkpoint to save all models (#1359) * model_checkpoint to save all models * changelog * rise if Co-authored-by: jamesjjcondon <jamesjjcondon@gmail.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-05 13:56:26 +00:00
- Fixed `model_checkpoint` when saving all models ([#1359](https://github.com/PyTorchLightning/pytorch-lightning/pull/1359))
- `Trainer.add_argparse_args` classmethod fixed. Now it adds a type for the arguments ([#1147](https://github.com/PyTorchLightning/pytorch-lightning/pull/1147))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed bug related to type checking of `ReduceLROnPlateau` lr schedulers([#1126](https://github.com/PyTorchLightning/pytorch-lightning/pull/1126))
Backward compatibility for checkpoint loading (#1132) * check if hparams_type exists in checkpoint dictionary for backward compatibility * concisely maintain backward compatibility for hparams type * Bug fix in checkpoint loading (#1132)
2020-03-17 22:45:36 +00:00
- Fixed a bug to ensure lightning checkpoints to be backward compatible ([#1132](https://github.com/PyTorchLightning/pytorch-lightning/pull/1132))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed a bug that created an extra dataloader with active `reload_dataloaders_every_epoch` ([#1196](https://github.com/PyTorchLightning/pytorch-lightning/pull/1196))
CI: Force docs warnings to be raised as errors (+ fix all) (#1191) * add argument to force warn * fix automodule error * fix permalink error * fix indentation warning * fix warning * fix import warnings * fix duplicate label warning * fix bullet point indentation warning * fix duplicate label warning * fix "import not top level" warning * line too long * fix indentation * fix bullet points indentation warning * fix hooks warnings * fix reference problem with excluded test_tube * fix indentation in print * change imports for trains logger * remove pandas type annotation * Update pytorch_lightning/core/lightning.py * include bullet points inside note * remove old quick start guide (unused) * fix unused warning * fix formatting * fix duplicate label issue * fix duplicate label warning (replaced by class ref) * fix tick * fix indentation warnings * docstring ticks * remove obsolete docstring typing * Revert "remove old quick start guide (unused)" This reverts commit d51bb40695442c8fa11bc9df74f6db56264f7509. * added old quick start guide to navigation * remove unused tutorials file * ignore some modules that got deprecated and are not used anymore * fix duplicate label warning * move examples doc and exclude pl_examples from autodoc * fix formatting for configure_optimizer * fix no blank line warnings * fix "see also" labels and add paramref extension * fix more reference problems * fix multi-gpu reference * fix weird warning * fix indentation and unrecognized characters in code block * fix warning "... not included in toctree" * fix PIL import error * fix duplicate target "here" warning * fix broken link * revert accidentally moved pl_examples * changelog * stdout * note some things to know Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-20 19:49:01 +00:00
- Fixed all warnings and errors in the docs build process ([#1191](https://github.com/PyTorchLightning/pytorch-lightning/pull/1191))
Disable validation when val_percent_check=0 (#1251) * fix disable validation * add test * update changelog * update docs for val_percent_check * make "fast training" docs consistent
2020-03-27 02:07:22 +00:00
- Fixed an issue where `val_percent_check=0` would not disable validation ([#1251](https://github.com/PyTorchLightning/pytorch-lightning/pull/1251))
fix incomplete RunningMean (#1309) * 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>
2020-03-30 22:28:31 +00:00
- Fixed average of incomplete `TensorRunningMean` ([#1309](https://github.com/PyTorchLightning/pytorch-lightning/pull/1309))
Borisdayma: fix(wandb) - fix watch method (#1361) * fix(wandb): fix watch method * rebased * Apply suggestions from code review Co-authored-by: Boris Dayma <boris.dayma@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-03 19:02:38 +00:00
- Fixed `WandbLogger.watch` with `wandb.init()` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed an issue with early stopping that would prevent it from monitoring training metrics when validation is disabled / not implemented ([#1235](https://github.com/PyTorchLightning/pytorch-lightning/pull/1235)).
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
- Fixed a bug that would cause `trainer.test()` to run on the validation set when overloading `validation_epoch_end` and `test_end` ([#1353](https://github.com/PyTorchLightning/pytorch-lightning/pull/1353))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Fixed `WandbLogger.watch` - use of the watch method without importing `wandb` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `WandbLogger` to be used with 'ddp' - allow reinits in sub-processes ([#1149](https://github.com/PyTorchLightning/pytorch-lightning/pull/1149),
[#1360](https://github.com/PyTorchLightning/pytorch-lightning/pull/1360))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Made `training_epoch_end` behave like `validation_epoch_end` ([#1357](https://github.com/PyTorchLightning/pytorch-lightning/pull/1357))
- Fixed `fast_dev_run` running validation twice ([#1365](https://github.com/PyTorchLightning/pytorch-lightning/pull/1365))
- Fixed pickle error from quick patch `__code__` ([#1352](https://github.com/PyTorchLightning/pytorch-lightning/pull/1352))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed memory leak on GPU0 ([#1094](https://github.com/PyTorchLightning/pytorch-lightning/pull/1094),
[#1349](https://github.com/PyTorchLightning/pytorch-lightning/pull/1349))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed checkpointing interval ([#1272](https://github.com/PyTorchLightning/pytorch-lightning/pull/1272))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Fixed validation and training loops run the partial dataset ([#1192](https://github.com/PyTorchLightning/pytorch-lightning/pull/1192))
- Fixed running `on_validation_end` only on main process in DDP ([#1125](https://github.com/PyTorchLightning/pytorch-lightning/pull/1125))
update Docs/changelog (#1398) * update docs/changelog * fix Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-07 13:10:58 +00:00
- Fixed `load_spawn_weights` only in proc rank 0 ([#1385](https://github.com/PyTorchLightning/pytorch-lightning/pull/1385))
Set precision=16 when use_amp is passed as True (#1145) * Set precision=16 when use_amp is passed as True * Update CHANGELOG.md * add use_amp to deprecated API * Update trainer.py * Update trainer.py * move the use_amp attribute to deprecated API * move use_amp deprecation back to Trainer's __init__ * drop unsed * drop deprecated * reorder imports * typing Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-06 12:13:24 +00:00
- Fixes `use_amp` issue ([#1145](https://github.com/PyTorchLightning/pytorch-lightning/pull/1145))
- Fixes using deprecated `use_amp` attribute ([#1145](https://github.com/PyTorchLightning/pytorch-lightning/pull/1145))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed Tensorboard logger error: lightning_logs directory not exists in multi-node DDP on nodes with rank != 0 ([#1377](https://github.com/PyTorchLightning/pytorch-lightning/pull/1377))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed `Unimplemented backend XLA` error on TPU ([#1387](https://github.com/PyTorchLightning/pytorch-lightning/pull/1387))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
## [0.7.1] - 2020-03-07
### Fixed
- Fixes `print` issues and `data_loader` ([#1080](https://github.com/PyTorchLightning/pytorch-lightning/pull/1080))
remove deprecated `data_loader` (#1077) * change version in CHangelog * warning * remove der data_loader Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-06 21:11:05 +00:00
## [0.7.0] - 2020-03-06
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- Added automatic sampler setup. Depending on DDP or TPU, lightning configures the sampler correctly (user needs to do nothing) ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
- Added `reload_dataloaders_every_epoch=False` flag for trainer. Some users require reloading data every epoch ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
- Added `progress_bar_refresh_rate=50` flag for trainer. Throttle refresh rate on notebooks ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
update governance docs (#894) * updated governance docs * added maintainers to readme * added governance docs
2020-02-19 11:26:23 +00:00
- Updated governance docs
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
2020-02-17 13:09:11 +00:00
- Added a check to ensure that the metric used for early stopping exists before training commences ([#542](https://github.com/PyTorchLightning/pytorch-lightning/pull/542))
- Added `optimizer_idx` argument to `backward` hook ([#733](https://github.com/PyTorchLightning/pytorch-lightning/pull/733))
- Added `entity` argument to `WandbLogger` to be passed to `wandb.init` ([#783](https://github.com/PyTorchLightning/pytorch-lightning/pull/783))
- Added a tool for profiling training runs ([#782](https://github.com/PyTorchLightning/pytorch-lightning/pull/782))
- Improved flexibility for naming of TensorBoard logs, can now set `version` to a `str` to just save to that directory, and use `name=''` to prevent experiment-name directory ([#804](https://github.com/PyTorchLightning/pytorch-lightning/pull/804))
- Added option to specify `step` key when logging metrics ([#808](https://github.com/PyTorchLightning/pytorch-lightning/pull/808))
update CHANGELOG (#897) add info about TPU and segmentation
2020-02-19 14:08:43 +00:00
- Added `train_dataloader`, `val_dataloader` and `test_dataloader` arguments to `Trainer.fit()`, for alternative data parsing ([#759](https://github.com/PyTorchLightning/pytorch-lightning/pull/759))
- Added Tensor Processing Unit (TPU) support ([#868](https://github.com/PyTorchLightning/pytorch-lightning/pull/868))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added semantic segmentation example ([#751](https://github.com/PyTorchLightning/pytorch-lightning/pull/751),[#876](https://github.com/PyTorchLightning/pytorch-lightning/pull/876),
[#881](https://github.com/PyTorchLightning/pytorch-lightning/pull/881))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Split callbacks in multiple files ([#849](https://github.com/PyTorchLightning/pytorch-lightning/pull/849))
consolidate callbacks and hooks (#950) * 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
2020-03-03 04:51:32 +00:00
- Support for user defined callbacks ([#889](https://github.com/PyTorchLightning/pytorch-lightning/pull/889) and [#950](https://github.com/PyTorchLightning/pytorch-lightning/pull/950))
Add support for multiple loggers (#903) * Add support for multiple loggers * Fix PEP * Cleanup * Cleanup * Add typing to loggers * Update base.py * Replace duck typing with isinstance check * Update CHANGELOG.md * Update comet experiment type, Switch to abstractmethod in logging.py * Fix test * Add passes to LightningLoggerBase * Update experiment_logging.rst
2020-02-25 19:52:39 +00:00
- Added support for multiple loggers to be passed to `Trainer` as an iterable (e.g. list, tuple, etc.) ([#903](https://github.com/PyTorchLightning/pytorch-lightning/pull/903))
Learning rate stepping option (#941) * remove deprecated args to learning rate step function * step based scheduler * mixing models for testing * fix styling * tests * update documentation * smaller fix * update to dict structure * updated test * update documentation * update CHANGELOG.md * fix styling * fix problems with trainer io * fix tests * simplification of code * fix styling * change from batch to step * update to tests * fix styling * fixed some logic * Update pytorch_lightning/core/lightning.py * duplicated test * fix test on amp * small update to tests * added monitor key for ReduceLROnPlateau * Update trainer.py * Update training_loop.py * fix test after introducing monitor keyword Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-05 11:48:54 +00:00
- Added support for step-based learning rate scheduling ([#941](https://github.com/PyTorchLightning/pytorch-lightning/pull/941))
Profiler summary (#1259) * refactor and add types * add Prorfiler summary * fix imports * Revert "refactor and add types" This reverts commit b4c552fa * changelog * revert rename * fix test * mute verbose
2020-03-31 12:57:48 +00:00
- Added support for logging `hparams` as dict ([#1029](https://github.com/PyTorchLightning/pytorch-lightning/pull/1029))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Checkpoint and early stopping now work without val. step ([#1041](https://github.com/PyTorchLightning/pytorch-lightning/pull/1041))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Support graceful training cleanup after Keyboard Interrupt ([#856](https://github.com/PyTorchLightning/pytorch-lightning/pull/856),
[#1019](https://github.com/PyTorchLightning/pytorch-lightning/pull/1019))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Added type hints for function arguments ([#912](https://github.com/PyTorchLightning/pytorch-lightning/pull/912), )
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added default `argparser` for `Trainer` ([#952](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023),
[#1023](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Added TPU gradient clipping ([#963](https://github.com/PyTorchLightning/pytorch-lightning/pull/963))
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Added max/min number of steps in `Trainer` ([#728](https://github.com/PyTorchLightning/pytorch-lightning/pull/728))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Neptune Logger Improvements (#1084) * removed project and experiment from getstate * added tests for closing experiment, updated token in example to user neptuner * updated teoken * Update neptune.py added a link to example experiment * added exmaple experiment link * dropped duplication * flake fixes * merged with master, added changes information to CHANGELOG
2020-03-14 17:02:40 +00:00
- Improved `NeptuneLogger` by adding `close_after_fit` argument to allow logging after training([#908](https://github.com/PyTorchLightning/pytorch-lightning/pull/1084))
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
2020-02-17 13:09:11 +00:00
- Changed default TQDM to use `tqdm.auto` for prettier outputs in IPython notebooks ([#752](https://github.com/PyTorchLightning/pytorch-lightning/pull/752))
- Changed `pytorch_lightning.logging` to `pytorch_lightning.loggers` ([#767](https://github.com/PyTorchLightning/pytorch-lightning/pull/767))
- Moved the default `tqdm_dict` definition from Trainer to `LightningModule`, so it can be overridden by the user ([#749](https://github.com/PyTorchLightning/pytorch-lightning/pull/749))
Merge load functions (#995) * Update README.md * Update README.md * Use callable object for patching dataloaders (#971) * Use callable object for patching dataloaders * Add test for ddp with dataloaders passed to fit() * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * merge load functions * update tests * fix documentation warnings * fix line too long * fix line too long * print deprecation warning Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * move tags_csv argument to end of signature * fix typo, update version numbers * fix line too long * add typing as requested * update changelog Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Sho Arora <sho854@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-03 02:05:38 +00:00
- Moved functionality of `LightningModule.load_from_metrics` into `LightningModule.load_from_checkpoint` ([#995](https://github.com/PyTorchLightning/pytorch-lightning/pull/995))
hparams as dict [blocked by 1041] (#1029) * hparams as dict * hparams as dict * fixing * fixing * fixing * fixing * typing * typing * chnagelog * update set hparams * use setter * simplify * chnagelog * imports * pylint * typing * Update training_io.py * Update training_io.py * Update lightning.py * Update test_trainer.py * Update __init__.py * Update base.py * Update utils.py * Update test_trainer.py * Update training_io.py * Update test_trainer.py * Update test_trainer.py * Update test_trainer.py * Update test_trainer.py * Update callback_config.py * Update callback_config.py * Update test_trainer.py Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-04 14:33:39 +00:00
- Changed Checkpoint path parameter from `filepath` to `dirpath` ([#1016](https://github.com/PyTorchLightning/pytorch-lightning/pull/1016))
- Freezed models `hparams` as `Namespace` property ([#1029](https://github.com/PyTorchLightning/pytorch-lightning/pull/1029))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Dropped `logging` config in package init ([#1015](https://github.com/PyTorchLightning/pytorch-lightning/pull/1015))
- Renames model steps ([#1051](https://github.com/PyTorchLightning/pytorch-lightning/pull/1051))
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- `training_end` >> `training_epoch_end`
- `validation_end` >> `validation_epoch_end`
- `test_end` >> `test_epoch_end`
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Refactor dataloading, supports infinite dataloader ([#955](https://github.com/PyTorchLightning/pytorch-lightning/pull/955))
- Create single file in `TensorBoardLogger` ([#777](https://github.com/PyTorchLightning/pytorch-lightning/pull/777))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Deprecated `pytorch_lightning.logging` ([#767](https://github.com/PyTorchLightning/pytorch-lightning/pull/767))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated `LightningModule.load_from_metrics` in favour of `LightningModule.load_from_checkpoint` ([#995](https://github.com/PyTorchLightning/pytorch-lightning/pull/995),
[#1079](https://github.com/PyTorchLightning/pytorch-lightning/pull/1079))
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- Deprecated `@data_loader` decorator ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated model steps `training_end`, `validation_end` and `test_end` ([#1051](https://github.com/PyTorchLightning/pytorch-lightning/pull/1051),
[#1056](https://github.com/PyTorchLightning/pytorch-lightning/pull/1056))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Removed dependency on `pandas` ([#736](https://github.com/PyTorchLightning/pytorch-lightning/pull/736))
- Removed dependency on `torchvision` ([#797](https://github.com/PyTorchLightning/pytorch-lightning/pull/797))
- Removed dependency on `scikit-learn` ([#801](https://github.com/PyTorchLightning/pytorch-lightning/pull/801))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where early stopping `on_end_epoch` would be called inconsistently when `check_val_every_n_epoch == 0` ([#743](https://github.com/PyTorchLightning/pytorch-lightning/pull/743))
- Fixed a bug where the model checkpointer didn't write to the same directory as the logger ([#771](https://github.com/PyTorchLightning/pytorch-lightning/pull/771))
- Fixed a bug where the `TensorBoardLogger` class would create an additional empty log file during fitting ([#777](https://github.com/PyTorchLightning/pytorch-lightning/pull/777))
- Fixed a bug where `global_step` was advanced incorrectly when using `accumulate_grad_batches > 1` ([#832](https://github.com/PyTorchLightning/pytorch-lightning/pull/832))
Logger tests and fixes (#1009) * Refactor logger tests * Update and add tests for wandb logger * Update and add tests for logger bases * Update and add tests for mlflow logger * Improve coverage * Updates * Update CHANGELOG * Updates * Fix style * Fix style * Updates
2020-03-03 01:49:14 +00:00
- Fixed a bug when calling `self.logger.experiment` with multiple loggers ([#1009](https://github.com/PyTorchLightning/pytorch-lightning/pull/1009))
- Fixed a bug when calling `logger.append_tags` on a `NeptuneLogger` with a single tag ([#1009](https://github.com/PyTorchLightning/pytorch-lightning/pull/1009))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Fixed sending back data from `.spawn` by saving and loading the trained model in/out of the process ([#1017](https://github.com/PyTorchLightning/pytorch-lightning/pull/1017)
- Fixed port collision on DDP ([#1010](https://github.com/PyTorchLightning/pytorch-lightning/pull/1010))
- Fixed/tested pass overrides ([#918](https://github.com/PyTorchLightning/pytorch-lightning/pull/918))
- Fixed comet logger to log after train ([#892](https://github.com/PyTorchLightning/pytorch-lightning/pull/892))
- Remove deprecated args to learning rate step function ([#890](https://github.com/PyTorchLightning/pytorch-lightning/pull/890))
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
2020-02-17 13:09:11 +00:00
## [0.6.0] - 2020-01-21
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added support for resuming from a specific checkpoint via `resume_from_checkpoint` argument ([#516](https://github.com/PyTorchLightning/pytorch-lightning/pull/516))
- Added support for `ReduceLROnPlateau` scheduler ([#320](https://github.com/PyTorchLightning/pytorch-lightning/pull/320))
- Added support for Apex mode `O2` in conjunction with Data Parallel ([#493](https://github.com/PyTorchLightning/pytorch-lightning/pull/493))
- Added option (`save_top_k`) to save the top k models in the `ModelCheckpoint` class ([#128](https://github.com/PyTorchLightning/pytorch-lightning/pull/128))
- Added `on_train_start` and `on_train_end` hooks to `ModelHooks` ([#598](https://github.com/PyTorchLightning/pytorch-lightning/pull/598))
- Added `TensorBoardLogger` ([#607](https://github.com/PyTorchLightning/pytorch-lightning/pull/607))
- Added support for weight summary of model with multiple inputs ([#543](https://github.com/PyTorchLightning/pytorch-lightning/pull/543))
- Added `map_location` argument to `load_from_metrics` and `load_from_checkpoint` ([#625](https://github.com/PyTorchLightning/pytorch-lightning/pull/625))
- Added option to disable validation by setting `val_percent_check=0` ([#649](https://github.com/PyTorchLightning/pytorch-lightning/pull/649))
- Added `NeptuneLogger` class ([#648](https://github.com/PyTorchLightning/pytorch-lightning/pull/648))
- Added `WandbLogger` class ([#627](https://github.com/PyTorchLightning/pytorch-lightning/pull/627))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed the default progress bar to print to stdout instead of stderr ([#531](https://github.com/PyTorchLightning/pytorch-lightning/pull/531))
- Renamed `step_idx` to `step`, `epoch_idx` to `epoch`, `max_num_epochs` to `max_epochs` and `min_num_epochs` to `min_epochs` ([#589](https://github.com/PyTorchLightning/pytorch-lightning/pull/589))
- Renamed `total_batch_nb` to `total_batches`, `nb_val_batches` to `num_val_batches`, `nb_training_batches` to `num_training_batches`, `max_nb_epochs` to `max_epochs`, `min_nb_epochs` to `min_epochs`, `nb_test_batches` to `num_test_batches`, and `nb_val_batches` to `num_val_batches` ([#567](https://github.com/PyTorchLightning/pytorch-lightning/pull/567))
- Changed gradient logging to use parameter names instead of indexes ([#660](https://github.com/PyTorchLightning/pytorch-lightning/pull/660))
- Changed the default logger to `TensorBoardLogger` ([#609](https://github.com/PyTorchLightning/pytorch-lightning/pull/609))
- Changed the directory for tensorboard logging to be the same as model checkpointing ([#706](https://github.com/PyTorchLightning/pytorch-lightning/pull/706))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Deprecated `max_nb_epochs` and `min_nb_epochs` ([#567](https://github.com/PyTorchLightning/pytorch-lightning/pull/567))
- Deprecated the `on_sanity_check_start` hook in `ModelHooks` ([#598](https://github.com/PyTorchLightning/pytorch-lightning/pull/598))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Removed the `save_best_only` argument from `ModelCheckpoint`, use `save_top_k=1` instead ([#128](https://github.com/PyTorchLightning/pytorch-lightning/pull/128))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug which ocurred when using Adagrad with cuda ([#554](https://github.com/PyTorchLightning/pytorch-lightning/pull/554))
- Fixed a bug where training would be on the GPU despite setting `gpus=0` or `gpus=[]` ([#561](https://github.com/PyTorchLightning/pytorch-lightning/pull/561))
- Fixed an error with `print_nan_gradients` when some parameters do not require gradient ([#579](https://github.com/PyTorchLightning/pytorch-lightning/pull/579))
- Fixed a bug where the progress bar would show an incorrect number of total steps during the validation sanity check when using multiple validation data loaders ([#597](https://github.com/PyTorchLightning/pytorch-lightning/pull/597))
- Fixed support for PyTorch 1.1.0 ([#552](https://github.com/PyTorchLightning/pytorch-lightning/pull/552))
- Fixed an issue with early stopping when using a `val_check_interval < 1.0` in `Trainer` ([#492](https://github.com/PyTorchLightning/pytorch-lightning/pull/492))
- Fixed bugs relating to the `CometLogger` object that would cause it to not work properly ([#481](https://github.com/PyTorchLightning/pytorch-lightning/pull/481))
- Fixed a bug that would occur when returning `-1` from `on_batch_start` following an early exit or when the batch was `None` ([#509](https://github.com/PyTorchLightning/pytorch-lightning/pull/509))
- Fixed a potential race condition with several processes trying to create checkpoint directories ([#530](https://github.com/PyTorchLightning/pytorch-lightning/pull/530))
- Fixed a bug where batch 'segments' would remain on the GPU when using `truncated_bptt > 1` ([#532](https://github.com/PyTorchLightning/pytorch-lightning/pull/532))
- Fixed a bug when using `IterableDataset` ([#547](https://github.com/PyTorchLightning/pytorch-lightning/pull/547))
- Fixed a bug where `.item` was called on non-tensor objects ([#602](https://github.com/PyTorchLightning/pytorch-lightning/pull/602))
- Fixed a bug where `Trainer.train` would crash on an uninitialized variable if the trainer was run after resuming from a checkpoint that was already at `max_epochs` ([#608](https://github.com/PyTorchLightning/pytorch-lightning/pull/608))
- Fixed a bug where early stopping would begin two epochs early ([#617](https://github.com/PyTorchLightning/pytorch-lightning/pull/617))
- Fixed a bug where `num_training_batches` and `num_test_batches` would sometimes be rounded down to zero ([#649](https://github.com/PyTorchLightning/pytorch-lightning/pull/649))
- Fixed a bug where an additional batch would be processed when manually setting `num_training_batches` ([#653](https://github.com/PyTorchLightning/pytorch-lightning/pull/653))
- Fixed a bug when batches did not have a `.copy` method ([#701](https://github.com/PyTorchLightning/pytorch-lightning/pull/701))
- Fixed a bug when using `log_gpu_memory=True` in Python 3.6 ([#715](https://github.com/PyTorchLightning/pytorch-lightning/pull/715))
- Fixed a bug where checkpoint writing could exit before completion, giving incomplete checkpoints ([#689](https://github.com/PyTorchLightning/pytorch-lightning/pull/689))
- Fixed a bug where `on_train_end` was not called when ealy stopping ([#723](https://github.com/PyTorchLightning/pytorch-lightning/pull/723))
## [0.5.3] - 2019-11-06
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added option to disable default logger, checkpointer, and early stopping by passing `logger=False`, `checkpoint_callback=False` and `early_stop_callback=False` respectively
- Added `CometLogger` for use with Comet.ml
- Added `val_check_interval` argument to `Trainer` allowing validition to be performed at every given number of batches
- Added functionality to save and load hyperparameters using the standard checkpoint mechanism
- Added call to `torch.cuda.empty_cache` before training starts
- Added option for user to override the call t `backward`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Added support for truncated backprop through time via the `truncated_bptt_steps` argument in `Trainer`
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
2020-02-17 13:09:11 +00:00
- Added option to operate on all outputs from `training_step` in DDP2
- Added a hook for modifying DDP init
- Added a hook for modifying Apex
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed experiment version to be padded with zeros (e.g. `/dir/version_9` becomes `/dir/version_0009`)
- Changed callback metrics to include any metrics given in logs or progress bar
- Changed the default for `save_best_only` in `ModelCheckpoint` to `True`
- Added `tng_data_loader` for backwards compatibility
- Renamed `MLFlowLogger.client` to `MLFlowLogger.experiment` for consistency
- Moved `global_step` increment to happen after the batch has been processed
- Changed weights restore to first attempt HPC weights before restoring normally, preventing both weights being restored and running out of memory
- Changed progress bar functionality to add multiple progress bars for train/val/test
- Changed calls to `print` to use `logging` instead
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Deprecated `tng_dataloader`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed an issue where the number of batches was off by one during training
- Fixed a bug that occured when setting a ckeckpoint callback and `early_stop_callback=False`
- Fixed an error when importing CometLogger
- Fixed a bug where the `gpus` argument had some unexpected behaviour
- Fixed a bug where the computed total number of batches was sometimes incorrect
- Fixed a bug where the progress bar would sometimes not show the total number of batches in test mode
- Fixed a bug when using the `log_gpu_memory='min_max'` option in `Trainer`
- Fixed a bug where checkpointing would sometimes erase the current directory
## [0.5.2] - 2019-10-10
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added `weights_summary` argument to `Trainer` to be set to `full` (full summary), `top` (just top level modules) or other
- Added `tags` argument to `MLFlowLogger`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed default for `amp_level` to `O1`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Removed the `print_weights_summary` argument from `Trainer`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where logs were not written properly
- Fixed a bug where `logger.finalize` wasn't called after training is complete
- Fixed callback metric errors in DDP
- Fixed a bug where `TestTubeLogger` didn't log to the correct directory
## [0.5.1] - 2019-10-05
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added the `LightningLoggerBase` class for experiment loggers
- Added `MLFlowLogger` for logging with `mlflow`
- Added `TestTubeLogger` for logging with `test_tube`
- Added a different implementation of DDP (`distributed_backed='ddp2'`) where every node has one model using all GPUs
- Added support for optimisers which require a closure (e.g. LBFGS)
- Added automatic `MASTER_PORT` defualt for DDP when not set manually
- Added new GPU memory logging options `'min_max'` (log only the min/max utilization) and `'all'` (log all the GPU memory)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed schedulers to always be called with the current epoch
- Changed `test_tube` to an optional dependency
- Changed data loaders to internally use a getter instead of a python property
- Disabled auto GPU loading when restoring weights to prevent out of memory errors
- Changed logging, early stopping and checkpointing to occur by default
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug with samplers that do not specify `set_epoch`
- Fixed a bug when using the `MLFlowLogger` with unsupported data types, this will now raise a warning
- Fixed a bug where gradient norms were alwasy zero using `track_grad_norm`
- Fixed a bug which causes a crash when logging memory
## [0.5.0] - 2019-09-26
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed `data_batch` argument to `batch` throughout
- Changed `batch_i` argument to `batch_idx` throughout
- Changed `tng_dataloader` method to `train_dataloader`
- Changed `on_tng_metrics` method to `on_training_metrics`
- Changed `gradient_clip` argument to `gradient_clip_val`
- Changed `add_log_row_interval` to `row_log_interval`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug with tensorboard logging in multi-gpu setup
## [0.4.9] - 2019-09-16
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Simplify progress bar args (#1108) * 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>
2020-04-02 22:53:00 +00:00
- Added the flag `log_gpu_memory` to `Trainer` to deactivate logging of GPU memory utilization
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Added SLURM resubmit functionality (port from test-tube)
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
2020-02-17 13:09:11 +00:00
- Added optional weight_save_path to trainer to remove the need for a checkpoint_callback when using cluster training
- Added option to use single gpu per node with `DistributedDataParallel`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed functionality of `validation_end` and `test_end` with multiple dataloaders to be given all of the dataloaders at once rather than in seperate calls
- Changed print_nan_grads to only print the parameter value and gradients when they contain NaN
- Changed gpu API to take integers as well (e.g. `gpus=2` instead of `gpus=[0, 1]`)
- All models now loaded on to CPU to avoid device and out of memory issues in PyTorch
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where data types that implement `.to` but not `.cuda` would not be properly moved onto the GPU
- Fixed a bug where data would not be re-shuffled every epoch when using a `DistributedSampler`
## [0.4.8] - 2019-08-31
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added `test_step` and `test_end` methods, used when `Trainer.test` is called
- Added `GradientAccumulationScheduler` callback which can be used to schedule changes to the number of accumulation batches
- Added option to skip the validation sanity check by setting `nb_sanity_val_steps = 0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug when setting `nb_sanity_val_steps = 0`
## [0.4.7] - 2019-08-24
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed the default `val_check_interval` to `1.0`
- Changed defaults for `nb_val_batches`, `nb_tng_batches` and `nb_test_batches` to 0
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where the full validation set as used despite setting `val_percent_check`
- Fixed a bug where an `Exception` was thrown when using a data set containing a single batch
- Fixed a bug where an `Exception` was thrown if no `val_dataloader` was given
- Fixed a bug where tuples were not properly transfered to the GPU
- Fixed a bug where data of a non standard type was not properly handled by the trainer
- Fixed a bug when loading data as a tuple
- Fixed a bug where `AttributeError` could be suppressed by the `Trainer`
## [0.4.6] - 2019-08-15
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added support for data to be given as a `dict` or `list` with a single gpu
- Added support for `configure_optimizers` to return a single optimizer, two list (optimizers and schedulers), or a single list
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where returning just an optimizer list (i.e. without schedulers) from `configure_optimizers` would throw an `Exception`
## [0.4.5] - 2019-08-13
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added `optimizer_step` method that can be overridden to change the standard optimizer behaviour
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
## [0.4.4] - 2019-08-12
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added supoort for multiple validation dataloaders
- Added support for latest test-tube logger (optimised for `torch==1.2.0`)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- `validation_step` and `val_dataloader` are now optional
- `lr_scheduler` is now activated after epoch
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where a warning would show when using `lr_scheduler` in `torch>1.1.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Fixed a bug where an `Exception` would be thrown if using `torch.DistributedDataParallel` without using a `DistributedSampler`, this now throws a `Warning` instead
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
2020-02-17 13:09:11 +00:00
## [0.4.3] - 2019-08-10
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed a bug where accumulate gradients would scale the loss incorrectly
## [0.4.2] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed install requirement to `torch==1.2.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
## [0.4.1] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed install requirement to `torch==1.1.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
## [0.4.0] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added 16-bit support for a single GPU
- Added support for training continuation (preserves epoch, global step etc.)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Changed `training_step` and `validation_step`, outputs will no longer be automatically reduced
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Removed need for `Experiment` object in `Trainer`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Fixed issues with reducing outputs from generative models (such as images and text)
## [0.3.6] - 2019-07-25
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
- Added a decorator to do lazy data loading internally
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
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
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
prune changelog (#1123)
2020-03-12 14:48:51 +00:00
- Fixed a bug where `Experiment` object was not process safe, potentially causing logs to be overwritten
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.5] - 2019-07-25
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.4] - 2019-07-22
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.3] - 2019-07-22
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.2] - 2019-07-21
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.1] - 2019-07-21
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.2.x] - 2019-07-09
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.1.x] - 2019-06-DD