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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 devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
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))
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
- Added metrics
* Base classes ([#1326](https://github.com/PyTorchLightning/pytorch-lightning/pull/1326), [#1877](https://github.com/PyTorchLightning/pytorch-lightning/pull/1877))
* Sklearn metrics classes ([#1327](https://github.com/PyTorchLightning/pytorch-lightning/pull/1327))
* Native torch metrics ([#1488](https://github.com/PyTorchLightning/pytorch-lightning/pull/1488))
* 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))
- 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))
Allow loading checkpoints from urls (#1667) * allow loading checkpoints from urls * tmpdir_server fixture * test cases for loading checkpoints from url * dir => root_dir * default map_location to None * test case for resume_from_checkpoint * changelog * doc update * monkeypatch TORCH_HOME to avoid caching * Use a threading server with random ports so that it is easier to clean up * test fixes * pep8 fix * ThreadingHTTPServer support in 3.6 * pep8 fix * fix changelog * separate tests for urls * typo 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>
2020-06-11 21:12:48 +00:00
- Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/issues/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))
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
- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/issues/2190))
- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/issues/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))
replace Hparams by init args (#1896) * remove the need for hparams * remove the need for hparams * remove the need for hparams * remove the need for hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * replace self.hparams * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * fixed * finished moco * basic * testing * todo * recurse * hparams * persist * hparams * chlog * tests * tests * tests * tests * tests * tests * review * saving * tests * tests * tests * docs * finished moco * hparams * review * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * hparams * overwrite * transform * transform * transform * transform * cleaning * cleaning * tests * examples * examples * examples * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chp key * tests * Apply suggestions from code review * class * updated docs * updated docs * updated docs * updated docs * save * wip * fix * flake8 Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-24 22:59:08 +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))
Docs & Changelog (#2176) * missed * format * math * req * notes * fix CI * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-13 23:29:21 +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))
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))
Removing unecessary early stopping calls (#1863) * Removing unecessary early stopping calls * Update CHANGELOG.md Co-authored-by: Mateusz Pieniak <mateusz.pieniak@evidenceprime.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-26 23:06:06 +00:00
- Fixed multiple calls of `EarlyStopping` callback ([#1751](https://github.com/PyTorchLightning/pytorch-lightning/issues/1751))
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))
- 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))
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 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))
- 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))
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
- Deprecated `amp_level` in favor of native AMP ([#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561))
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
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))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +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))
- 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))
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 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))
- 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))
- 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))
- 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))
- 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))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +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))
- 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))
- Added type hints for function arguments ([#912](https://github.com/PyTorchLightning/pytorch-lightning/pull/912), )
- Added default `argparser` for `Trainer` ([#952](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023), [#1023](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023))
- 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))
- 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))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +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