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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/).
v1.2.0 (#6065) * v1.2.0 * docs
2021-02-18 20:14:39 +00:00
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
## [1.4.0] - 2021-MM-DD
### Added
Expose `extract_batch_size` method and add corresponding tests. (#8357) * expose extract_batch and make public * first pass * early return * add changelog * move to utilities/data.py * add test_data.py * tests are passing * precommit hook * address pep8 failure Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-13 11:35:10 +00:00
- Add `extract_batch_size` utility and corresponding tests to extract batch dimension from multiple batch types. ([#8357](https://github.com/PyTorchLightning/pytorch-lightning/pull/8357/))
[feat] Named Parameter Groups in `LearningRateMonitor` (#7987) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-17 01:13:54 +00:00
- Add support for named parameter groups in `LearningRateMonitor` ([#7987](https://github.com/PyTorchLightning/pytorch-lightning/pull/7987))
Add dataclass support to `apply_to_collection` (#7935) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-06-12 11:42:49 +00:00
- Add `dataclass` support for `pytorch_lightning.utilities.apply_to_collection` ([#7935](https://github.com/PyTorchLightning/pytorch-lightning/pull/7935))
[feat] Support custom filesystems in LightningModule.to_torchscript (#7617) * [feat] Support custom filesystems in LightningModule.to_torchscript * Update CHANGELOG.md * Update test_torchscript.py * Update test_torchscript.py * Update CHANGELOG.md * Update test_torchscript.py
2021-05-21 11:23:15 +00:00
- Added support to `LightningModule.to_torchscript` for saving to custom filesystems with fsspec ([#7617](https://github.com/PyTorchLightning/pytorch-lightning/pull/7617))
Add kubeflow cluster environment (#7300) * Add kubeflow cluster environment * Add KubeflowEnvironment to docs * Add KubeflowEnvironment to the changelog * break up a long line * Add method to detect kubeflow environment * Select Kubeflow environment when available * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Run pre-commit * task_idx == 0 Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-17 08:05:24 +00:00
- Added `KubeflowEnvironment` for use with the `PyTorchJob` operator in Kubeflow
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
[feat] Support time-based checkpointing during training (#7515) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-19 22:14:13 +00:00
Enable fsspec by default for cli config file (#7521) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-17 07:53:00 +00:00
- Added LightningCLI support for config files on object stores ([#7521](https://github.com/PyTorchLightning/pytorch-lightning/pull/7521))
Add `ModelPruning(prune_on_train_epoch_end)` to choose when to apply pruning (#7704) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-25 22:57:56 +00:00
- Added `ModelPruning(prune_on_train_epoch_end=True|False)` to choose when to apply pruning ([#7704](https://github.com/PyTorchLightning/pytorch-lightning/pull/7704))
[feat] Support time-based checkpointing during training (#7515) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-19 22:14:13 +00:00
- Added support for checkpointing based on a provided time interval during training ([#7515](https://github.com/PyTorchLightning/pytorch-lightning/pull/7515))
Improvements and changes to progress tracking dataclasses (#8140) * Improvements to progress dataclasses * Update CHANGELOG * Rename function * Undo CODEOWNERS update
2021-06-29 12:47:41 +00:00
- Progress tracking
* Added dataclasses for progress tracking ([#6603](https://github.com/PyTorchLightning/pytorch-lightning/pull/6603), [#7574](https://github.com/PyTorchLightning/pytorch-lightning/pull/7574), [#8140](https://github.com/PyTorchLightning/pytorch-lightning/pull/8140))
* Add `{,load_}state_dict` to the progress tracking dataclasses ([#8140](https://github.com/PyTorchLightning/pytorch-lightning/pull/8140))
Connect progress tracking dataclasses to loops (#8244) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-05 11:33:12 +00:00
* Connect the progress tracking dataclasses to the loops ([#8244](https://github.com/PyTorchLightning/pytorch-lightning/pull/8244))
[1/N] Define dataclasses for progress tracking (#6603) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-19 21:02:20 +00:00
Standardize positional datamodule and argument names (#7431) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-15 11:50:13 +00:00
- Added support for passing a `LightningDataModule` positionally as the second argument to `trainer.{validate,test,predict}` ([#7431](https://github.com/PyTorchLightning/pytorch-lightning/pull/7431))
Add `trainer.predict(ckpt_path)` (#7430) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-05-12 23:49:58 +00:00
- Added argument `trainer.predict(ckpt_path)` ([#7430](https://github.com/PyTorchLightning/pytorch-lightning/pull/7430))
Use `torch.nn.utils.clip_grad_norm_` and add `clip_grad_by_value` support for TPU (#7025) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-05-07 16:41:39 +00:00
- Added `clip_grad_by_value` support for TPUs ([#7025](https://github.com/PyTorchLightning/pytorch-lightning/pull/7025))
`is_overridden` improvements (#7918) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-11 11:47:00 +00:00
- Added support for passing any class to `is_overridden` ([#7918](https://github.com/PyTorchLightning/pytorch-lightning/pull/7918))
TensorBoardLogger sub_dir parameter for grouping logs (#6195) * fixed a small typo * cleaning up * added sub_dir argument to tensorboard and wrote test * sub dir arg exclusively for tensorboard, linted * resolving merge conflict * resolved merge conflict * resolved merge conflict * resolved merge conflict * resolve merge conflict before revert * resolving merge conflict * reverted to pre-lint * added tensorboard sub_dir test * pep8 formatting * removed sub_dir arg from test_all function: * updated feature description * typo in doc description * updated CHANGELOG * Update pytorch_lightning/loggers/tensorboard.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * swapped argument position * added expandvars tests * added expandvars * removed model init * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix tests * fix failed test * Revert "fix failed test" This reverts commit 50b34c66dabbd8a0b5d84f905280a4ae6b9cdc55. * add env var to test * fix typo in tests * fix tests * for test consistency * fix typo * fix typo 2 Co-authored-by: Ubuntu <azureuser@devhenrik.evuifrmjd4lepbj4relcwwu5va.ax.internal.cloudapp.net> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2021-05-19 19:50:58 +00:00
- Added `sub_dir` parameter to `TensorBoardLogger` ([#6195](https://github.com/PyTorchLightning/pytorch-lightning/pull/6195))
Add `dataloader_idx` to batch transfer hooks (#6241) * replace with kwargs * chlog * fix * add test * fix * device * deepspeed * pep * optional * docs * bc * comments * pep * mypy * pep * Apply suggestions from code review * kwargs * docs * . * . * 1.3 -> 1.4 * kwargs -> step_kwargs
2021-05-13 17:33:55 +00:00
- Added correct `dataloader_idx` to batch transfer hooks ([#6241](https://github.com/PyTorchLightning/pytorch-lightning/pull/6241))
`apply_to_collection` improvements and add `apply_to_collections` (#7769) * `apply_to_collection` improvements and add `apply_to_collections` * Update CHANGELOG * Minor fix * Minor fix * Remove attr * Swap is first is None * None test * OrderedDict support * flake8 * Fix docstring
2021-06-01 12:09:20 +00:00
- Added `include_none=bool` argument to `apply_to_collection` ([#7769](https://github.com/PyTorchLightning/pytorch-lightning/pull/7769))
- Added `apply_to_collections` to apply a function to two zipped collections ([#7769](https://github.com/PyTorchLightning/pytorch-lightning/pull/7769))
FSDP with full state dict (#7487) * Fix some test errors Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * checkpoint consolidation * Update ddp_spawn.py * Update test_metric_result_integration.py * Update test_results.py * Update utils.py * Update utils.py * Update test_all_gather_grad.py * Update test_all_gather_grad.py * Update test_results.py * Revert "Update test_results.py" This reverts commit 9d4a2b891d2a4b37e21529a444bda1883d1b5ed1. * Revert "Merge pull request #1 from shuyingsunshine21/shuyingsunshine21-checkpoint_consolidate" This reverts commit c5053da789f9d04d2c967a65adf4fb026dc134b8, reversing changes made to 0d23d75bc91e4e0b7805712e394cb093fac22841. * Revert "Update test_all_gather_grad.py" This reverts commit 0d23d75bc91e4e0b7805712e394cb093fac22841. * Revert "Update utils.py" This reverts commit 70fe5da9c66ceff2fcf4be5b9efdd23a9af8389c. * Revert "Update utils.py" This reverts commit a9aae99f6ed6e9388ecf1d8a7bd79966176a65af. * Revert "Update test_results.py" This reverts commit ea749068785bbad689a12066544893b1605f20c5. * Revert "Update test_metric_result_integration.py" This reverts commit bf70e431b3ce4893de804e0f3b5d59e79346d6d7. * Revert "Update ddp_spawn.py" This reverts commit f17210183b84f90c9a62d1ff9b3e05e1fbe5f33b. * Revert "checkpoint consolidation" This reverts commit 536c1323b0e6715fb5919196ea48b0fcddddcd66. * Revert "Revert "checkpoint consolidation"" This reverts commit 3a9fde915ad4c69620a6ccc411f5890cb38ba5ac. * Revert "Revert "Revert "checkpoint consolidation""" This reverts commit 7a369f47e1a94d701fce48c994cc3f2da266dad0. * Revert "Revert "Update ddp_spawn.py"" This reverts commit 8222dc98ead37d961a52b7366070aa10f66d92d1. * Revert "Revert "Update test_metric_result_integration.py"" This reverts commit 6c095b2370a2afe9d24918a5798ce1ebffed7e0d. * Revert "Revert "Update test_results.py"" This reverts commit 250d0aaaa2e6c6a6a3407bc6c8b83c0fe2479c0b. * Revert "Revert "Update utils.py"" This reverts commit 8651d54d79396eaaba16d7eb1e769a1e91d5702e. * Revert "Revert "Update test_all_gather_grad.py"" This reverts commit dcdcd29731061c919b15ab0b56669259817a81c4. * modify distributed environment to make test pass * fix version for ddp plugin test * fix * fix * changelog * Update CHANGELOG.md * fsdp with full state dict * fix missing import * modify unitest * fix * fix * fix typo * modify test and add changelog * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * limit max_epoch to 1 for testing * test * fix * update * testing remove special for multi gpu * assert gpu * add assertion for gpu * fix * Re-enable special test, use ModelCheckpoint * Fix paths * Fix path passing * test * test * fix test * fix * pre-commit format * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: SeanNaren <sean@grid.ai>
2021-05-24 07:11:45 +00:00
- Added `ddp_fully_sharded` support ([#7487](https://github.com/PyTorchLightning/pytorch-lightning/pull/7487))
Add `should_rank_save_checkpoint` property to Training Plugins (#7684) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-25 17:32:05 +00:00
- Added `should_rank_save_checkpoint` property to Training Plugins ([#7684](https://github.com/PyTorchLightning/pytorch-lightning/pull/7684))
Add `log_grad_norm` hook to `LightningModule` (#7873)
2021-06-08 11:09:06 +00:00
- Added `log_grad_norm` hook to `LightningModule` to customize the logging of gradient norms ([#7873](https://github.com/PyTorchLightning/pytorch-lightning/pull/7873))
Added save_config_filename init argument to LightningCLI (#7741)
2021-05-28 07:30:16 +00:00
- Added `save_config_filename` init argument to `LightningCLI` to ease resolving name conflicts ([#7741](https://github.com/PyTorchLightning/pytorch-lightning/pull/7741))
Add `LightningCLI(save_config_overwrite=False|True)` (#8059)
2021-06-21 15:58:02 +00:00
- Added `save_config_overwrite` init argument to `LightningCLI` to ease overwriting existing config files ([#8059](https://github.com/PyTorchLightning/pytorch-lightning/pull/8059))
[IPU] Add reset dataloader hooks to training type plugin 3/n (#7861) * Add hooks * Add tests for hooks * Add changelog * Test changes, add typing
2021-06-07 10:37:09 +00:00
- Added reset dataloader hooks to Training Plugins and Accelerators ([#7861](https://github.com/PyTorchLightning/pytorch-lightning/pull/7861))
[IPU] Add hooks for IPU lifecycle 4/5 (#7864)
2021-06-07 12:06:41 +00:00
- Added trainer stage hooks for Training Plugins and Accelerators ([#7864](https://github.com/PyTorchLightning/pytorch-lightning/pull/7864))
Add the `on_before_optimizer_step` hook (#8048) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-09 11:30:52 +00:00
- Added the `on_before_optimizer_step` hook ([#8048](https://github.com/PyTorchLightning/pytorch-lightning/pull/8048))
IPU Integration 5/5 (#7867) * Initial changes * Add broken example for now * Fix reference * Fix format * Code runs * Fixes * Clear up files * Add tests, helpers, fixes * Small cleanups * Refactors based on review * Swap to special tests * Add special tests * Add source * Cleanups * Add logic to attach/detach model from devices * Fixes for tests * Fixes for tests * Move earlier * Cleanups * Add check for nvcc * Add tests, cleanups * Fix errors * fix * Try condition * Add missing annotation * Clearer * Clearer message * Fix variable * Cleanups * Add comment * CHANGELOG.md * Add simple selection test * Remove special=True to see what happens * Fix test * Update tests/accelerators/test_ipu.py Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> * Convert ipu_cores -> ipus * Add typing, fail earlier * simplify precision * Add test, add helper * fix accum * Update pytorch_lightning/plugins/training_type/ipu.py Co-authored-by: thomas chaton <thomas@grid.ai> * Use stages * Make sure warning message returned * thorw error * Add more tests, use fs * add comment * Clean * Address feedback, add IPU tests * Fixes * Fix signature * Add types * Remove autoround * Add docstring * ipu_cores -> ipus * Add test, remove unnecessary precision set * Add optimizer test * Add precision back with test * Address code review * Change to probs * Move some of the asserts earlier Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: thomas chaton <thomas@grid.ai>
2021-06-11 15:07:04 +00:00
- Added IPU Accelerator ([#7867](https://github.com/PyTorchLightning/pytorch-lightning/pull/7867))
[feat] Add `{,load_}state_dict` to `ResultCollection` 1/n (#7948) * add metric reload * add tests * update changelog * udpate * remove print * remove attribute_name * update * update * resolve test * update on comments * bypass typing bug * update on comments * Update CHANGELOG * Update tests * Update code * Check if TODO persists * Remove unrelated changes * Fixes * Revert "Check if TODO persists" This reverts commit 68dac4ae693764b9fca4c8f4cef4fce66ce92122. * Do not serialize dataclasses * Avoid recostructing meta twice * Keep previous sync_fn * Move to device and map_location * Fix bug Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-17 07:08:22 +00:00
- Fault-tolerant training
Add `state_dict` to loops (#8197) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-01 15:54:37 +00:00
* Added `{,load_}state_dict` to `ResultCollection` ([#7948](https://github.com/PyTorchLightning/pytorch-lightning/pull/7948))
* Added `{,load_}state_dict` to `Loops` ([#8197](https://github.com/PyTorchLightning/pytorch-lightning/pull/8197))
Support state restoration of logged results 2/2(#7966) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-06-25 19:16:11 +00:00
Add `state_dict` to loops (#8197) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-01 15:54:37 +00:00
- Added `rank_zero_only` to `LightningModule.log` function ([#7966](https://github.com/PyTorchLightning/pytorch-lightning/pull/7966))
[feat] Add `{,load_}state_dict` to `ResultCollection` 1/n (#7948) * add metric reload * add tests * update changelog * udpate * remove print * remove attribute_name * update * update * resolve test * update on comments * bypass typing bug * update on comments * Update CHANGELOG * Update tests * Update code * Check if TODO persists * Remove unrelated changes * Fixes * Revert "Check if TODO persists" This reverts commit 68dac4ae693764b9fca4c8f4cef4fce66ce92122. * Do not serialize dataclasses * Avoid recostructing meta twice * Keep previous sync_fn * Move to device and map_location * Fix bug Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-17 07:08:22 +00:00
Add `state_dict` to loops (#8197) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-01 15:54:37 +00:00
- Added `metric_attribute` to `LightningModule.log` function ([#7966](https://github.com/PyTorchLightning/pytorch-lightning/pull/7966))
Improvements and changes to progress tracking dataclasses (#8140) * Improvements to progress dataclasses * Update CHANGELOG * Rename function * Undo CODEOWNERS update
2021-06-29 12:47:41 +00:00
add warning when Trainer(log_every_n_steps) not well chosen (#7734) * add warning * update changelog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * logger check * add docstring for test Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2021-06-07 12:40:43 +00:00
- Added a warning if `Trainer(log_every_n_steps)` is a value too high for the training dataloader ([#7734](https://github.com/PyTorchLightning/pytorch-lightning/pull/7734))
LightningCLI support for argument links applied on instantiation (#7895) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-12 11:13:14 +00:00
- Added LightningCLI support for argument links applied on instantiation ([#7895](https://github.com/PyTorchLightning/pytorch-lightning/pull/7895))
Easier configurability of callbacks that should always be present in LightningCLI (#7964) Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-16 00:03:37 +00:00
- Added LightningCLI support for configurable callbacks that should always be present ([#7964](https://github.com/PyTorchLightning/pytorch-lightning/pull/7964))
DeepSpeed Infinity Update (#7234) * Update configs to match latest API * Ensure we move the entire model to device before configure optimizer is called * Add missing param * Expose parameters * Update references, drop local rank as it's now infered from the environment variable * Fix ref * Force install deepspeed 0.3.16 * Add guard for init * Update pytorch_lightning/plugins/training_type/deepspeed.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Revert type checking * Install master for CI for testing purposes * Update CI * Fix tests * Add check * Update versions * Set precision * Fix * See if i can force upgrade * Attempt to fix * Drop * Add changelog Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-14 16:38:28 +00:00
- Added DeepSpeed Infinity Support, and updated to DeepSpeed 0.4.0 ([#7234](https://github.com/PyTorchLightning/pytorch-lightning/pull/7234))
Handle errors due to uninitailized parameters (#7642) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-14 15:56:03 +00:00
- Added support for `torch.nn.UninitializedParameter` in `ModelSummary` ([#7642](https://github.com/PyTorchLightning/pytorch-lightning/pull/7642))
Support `save_hyperparameters()` in LightningModule dataclass (#7992) Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-16 08:30:58 +00:00
- Added support `LightningModule.save_hyperparameters` when `LightningModule` is a dataclass ([#7992](https://github.com/PyTorchLightning/pytorch-lightning/pull/7992))
Add logger flag to save_hyperparameters (#7960) * Add log flag to save_hyperparameters * FIx setter * Add test & Update changelog * Address comments * Fix conflicts * Update trainer * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Fix datamodule hparams fix * Fix datamodule hparams fix * Update test with patch * Update pytorch_lightning/utilities/hparams_mixin.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Move log_hyperparams to mixin * Update hparams mixin Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-13 09:36:36 +00:00
- Added support for overriding `optimizer_zero_grad` and `optimizer_step` when using accumulate_grad_batches ([#7980](https://github.com/PyTorchLightning/pytorch-lightning/pull/7980))
- Added `logger` boolean flag to `save_hyperparameters` ([#7960](https://github.com/PyTorchLightning/pytorch-lightning/pull/7960))
[feat] Allow overriding optimizer_zero_grad and/or optimizer_step when using accumulate_grad_batches (#7980)
2021-06-17 10:50:37 +00:00
Support calling fit and test scripts using "python -m" module syntax with DDP (#8073) Co-authored-by: Nisheeth Lahoti <nisheeth@rephrase.ai>
2021-06-23 02:42:04 +00:00
- Add support for calling scripts using the module syntax (`python -m package.script`) ([#8073](https://github.com/PyTorchLightning/pytorch-lightning/pull/8073))
Add support for optimizers and learning rate schedulers to LightningCLI (#8093) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-01 10:04:11 +00:00
- Add support for optimizers and learning rate schedulers to `LightningCLI` ([#8093](https://github.com/PyTorchLightning/pytorch-lightning/pull/8093))
Decouple device parsing logic from Acc connector to Trainer (#8180)
2021-07-07 09:35:26 +00:00
- Decoupled device parsing logic from Accelerator connector to Trainer ([#8180](https://github.com/PyTorchLightning/pytorch-lightning/pull/8180))
XLA Profiler integration (#8014)
2021-06-28 19:28:05 +00:00
- Added XLA Profiler ([#8014](https://github.com/PyTorchLightning/pytorch-lightning/pull/8014))
Refactor plugins backward (#8328)
2021-07-08 14:02:09 +00:00
- Added `PrecisionPlugin.{pre,post}_backward` ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
- Added `on_load_checkpoint` and `on_save_checkpoint` hooks to the `PrecisionPlugin` base class ([#7831](https://github.com/PyTorchLightning/pytorch-lightning/pull/7831))
Add `ModelSummary.max_depth` (#8062) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-01 10:08:16 +00:00
- Added `max_depth` parameter in `ModelSummary` ([#8062](https://github.com/PyTorchLightning/pytorch-lightning/pull/8062))
Add XLAStatsMonitor Callback (#8235)
2021-07-05 11:39:46 +00:00
- Added `XLAStatsMonitor` callback ([#8235](https://github.com/PyTorchLightning/pytorch-lightning/pull/8235))
[feat] Add restore to base loop (#8247) * add loop restart * update
2021-07-02 12:40:31 +00:00
- Added `restore` function and `restarting` attribute to base `Loop` ([#8247](https://github.com/PyTorchLightning/pytorch-lightning/pull/8247))
[Feat] Add FastForwardSampler 2/n - Fault Tolerant Training (#8307) * wip * update * resolve bug * wip * wip * wip * resolved tests * update on comments * update * update * Update pytorch_lightning/utilities/auto_restart.py Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> * update on comments * Update pytorch_lightning/utilities/auto_restart.py Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> * resolve bug * update * move properties to top * update docs for fast forward sampler * move public attribute to top * add missing super call * update docs for state_dict * fix merge conflict * add missing super() call * move property to top * update on comments * update * resolve bug * update * update on comments * activate coverage for CaptureIterableDataset * update on comments Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-07 20:21:21 +00:00
- Added `FastForwardSampler` and `CaptureIterableDataset` ([#8307](https://github.com/PyTorchLightning/pytorch-lightning/pull/8307))
Hyperparameters for datamodule (#3792) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Tilman Krokotsch <tilman.krokotsch@iav.de> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ethan Harris <ethanwharris@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Kaushik B <kaushikbokka@gmail.com>
2021-07-09 15:10:00 +00:00
- Added support for `save_hyperparameters` in `LightningDataModule` ([#3792](https://github.com/PyTorchLightning/pytorch-lightning/pull/3792))
Add `ModelCheckpoint(save_on_train_epoch_end)` (#8389) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-13 14:47:59 +00:00
- Added the `ModelCheckpoint(save_on_train_epoch_end)` to choose when to run the saving logic ([#8389](https://github.com/PyTorchLightning/pytorch-lightning/pull/8389))
Add LSF support (#5102) * add ClusterEnvironment for LSF systems * update init file * add available cluster environments * clean up LSFEnvironment * add ddp_hpc as a distributed backend * clean up SLURMEnvironment * remove extra blank line * init device for DDPHPCAccelerator We need to do this so we don't send the model to the same device from multiple ranks * committing current state * add additional methods to ClusterEnvironments * add NVIDIA mixin for setting up CUDA envars * remove troubleshooting prints * cleanup SLURMEnvironment * fix docstring * cleanup TorchElasticEnvironment and add documentation * PEP8 puts a cork in it * add set_ranks_to_trainer * remove unused import * move to new location * update LSF environment * remove mixin * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changelog * reset slurm env * add tests * add licence * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * test node_rank * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add lsf env to docs * add auto detection for lsf environment * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix is_using_lsf() and test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-07-09 14:14:26 +00:00
- Added `LSFEnvironment` for distributed training with the LSF resource manager `jsrun` ([#5102](https://github.com/PyTorchLightning/pytorch-lightning/pull/5102))
Add support for (accelerator='cpu'|'gpu'|'tpu'|'ipu'|'auto') (#7808) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: SeanNaren <sean@grid.ai>
2021-07-09 15:28:54 +00:00
- Added support for `accelerator='cpu'|'gpu'|'tpu'|'ipu'|'auto'` ([#7808](https://github.com/PyTorchLightning/pytorch-lightning/pull/7808))
support launching Lightning ddp with traditional command (#7480) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-07-14 11:25:36 +00:00
- Enabled traditional/manual launching of DDP processes through `LOCAL_RANK` and `NODE_RANK` environment variable assignments ([#7480](https://github.com/PyTorchLightning/pytorch-lightning/pull/7480))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
### Changed
Prune deprecated utils modules (#7503) * argparse_utils * model_utils * warning_utils * xla_device_utils * chlog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-13 07:24:42 +00:00
[feat] Add stronger validation for checkpoint_callback argument (#7539) * [feat] Add stronger validation for checkpoint_callback configuration * chlog * Update callback_connector.py * Update test_model_checkpoint.py * Update pytorch_lightning/trainer/connectors/callback_connector.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/trainer/connectors/callback_connector.py * Update tests/checkpointing/test_model_checkpoint.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-19 19:38:08 +00:00
- Changed the `Trainer`'s `checkpoint_callback` argument to allow only boolean values ([#7539](https://github.com/PyTorchLightning/pytorch-lightning/pull/7539))
Log epoch metrics before firing the `on_evaluation_end` hook (#7272) * Log epoch metrics before firing the `on_evaluation_end` hook (addresses #7166) * test that epoch metrics are logged before `on_evaluation_end` hook * update CHANGELOG * Shorter test Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-11 08:54:31 +00:00
- Log epoch metrics before the `on_evaluation_end` hook ([#7272](https://github.com/PyTorchLightning/pytorch-lightning/pull/7272))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
Stricter `FxValidator` and add hooks (#7874) * Stricter FxValidator and add hooks * Update CHANGELOG
2021-06-08 07:26:05 +00:00
- Explicitly disallow calling `self.log(on_epoch=False)` during epoch-only or single-call hooks ([#7874](https://github.com/PyTorchLightning/pytorch-lightning/pull/7874))
Mark certain Trainer APIs as protected (#7420)
2021-05-11 09:53:41 +00:00
- Changed these `Trainer` methods to be protected: `call_setup_hook`, `call_configure_sharded_model`, `pre_dispatch`, `dispatch`, `post_dispatch`, `call_teardown_hook`, `run_train`, `run_sanity_check`, `run_evaluate`, `run_evaluation`, `run_predict`, `track_output_for_epoch_end`
Use `apply_to_collection` in `metrics_to_scalars` (#7888) * Use `apply_to_collection` in `metrics_to_scalars` * Typing * Update CHANGELOG * Update pytorch_lightning/utilities/metrics.py * Whitespace
2021-06-08 16:54:32 +00:00
- Changed `metrics_to_scalars` to work with any collection or value ([#7888](https://github.com/PyTorchLightning/pytorch-lightning/pull/7888))
Use `torch.nn.utils.clip_grad_norm_` and add `clip_grad_by_value` support for TPU (#7025) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-05-07 16:41:39 +00:00
- Changed `clip_grad_norm` to use `torch.nn.utils.clip_grad_norm_` ([#7025](https://github.com/PyTorchLightning/pytorch-lightning/pull/7025))
Always run validation inside the training loop epoch (#7357) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-26 12:26:48 +00:00
- Validation is now always run inside the training epoch scope ([#7357](https://github.com/PyTorchLightning/pytorch-lightning/pull/7357))
Add `ModelCheckpoint(save_on_train_epoch_end)` (#8389) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-13 14:47:59 +00:00
- `ModelCheckpoint` now runs at the end of the training epoch by default ([#8389](https://github.com/PyTorchLightning/pytorch-lightning/pull/8389))
Default `EarlyStopping.check_on_train_epoch_end=True` (#8286)
2021-07-05 13:45:23 +00:00
- `EarlyStopping` now runs at the end of the training epoch by default ([#8286](https://github.com/PyTorchLightning/pytorch-lightning/pull/8286))
remove trainer hidden state | sanity refactor [1 / n] (#7437) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-11 09:09:08 +00:00
- Refactored Loops
Fix an incorrect CHANGELOG link (#7850)
2021-06-06 23:57:23 +00:00
* Moved attributes `global_step`, `current_epoch`, `max/min_steps`, `max/min_epochs`, `batch_idx`, and `total_batch_idx` to TrainLoop ([#7437](https://github.com/PyTorchLightning/pytorch-lightning/pull/7437))
Refactor result handling in training loop (#7506) * refactor results * rename dic -> dict * simplify * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * changelog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix None check * chlog wording * move process_closure_result to the end Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-13 08:30:34 +00:00
* Refactored result handling in training loop ([#7506](https://github.com/PyTorchLightning/pytorch-lightning/pull/7506))
remove trainer hidden state | sanity refactor [2 / n] (#7507)
2021-05-17 07:57:15 +00:00
* Moved attributes `hiddens` and `split_idx` to TrainLoop ([#7507](https://github.com/PyTorchLightning/pytorch-lightning/pull/7507))
refactor optimizer loop logic for manual and automatic optimization (#7526) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-05-17 12:42:01 +00:00
* Refactored the logic around manual and automatic optimization inside the optimizer loop ([#7526](https://github.com/PyTorchLightning/pytorch-lightning/pull/7526))
Update hooks pseudocode (#7713)
2021-05-27 10:27:26 +00:00
* Simplified "should run validation" logic ([#7682](https://github.com/PyTorchLightning/pytorch-lightning/pull/7682))
Loop Refactor 1/N - Training Loop (#7871) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Justus Schock <justus.schock@posteo.de> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-06-15 12:55:06 +00:00
* Simplified logic for updating the learning rate for schedulers ([#7682](https://github.com/PyTorchLightning/pytorch-lightning/pull/7682))
* Removed the `on_epoch` guard from the "should stop" validation check ([#7701](https://github.com/PyTorchLightning/pytorch-lightning/pull/7701))
`pytorch_lightning.loops` file structure: group by dataloader, epoch, and batch loop (#8077)
2021-06-24 21:40:46 +00:00
* Refactored internal loop interface; added new classes `FitLoop`, `TrainingEpochLoop`, `TrainingBatchLoop` ([#7871](https://github.com/PyTorchLightning/pytorch-lightning/pull/7871), [#8077](https://github.com/PyTorchLightning/pytorch-lightning/pull/8077))
Loop Refactor 2/N - Remove Old Training Loop (#7985) Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Justus Schock <justus.schock@posteo.de> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-06-16 08:00:33 +00:00
* Removed `pytorch_lightning/trainer/training_loop.py` ([#7985](https://github.com/PyTorchLightning/pytorch-lightning/pull/7985))
`pytorch_lightning.loops` file structure: group by dataloader, epoch, and batch loop (#8077)
2021-06-24 21:40:46 +00:00
* Refactored evaluation loop interface; added new classes `DataLoaderLoop`, `EvaluationLoop`, `EvaluationEpochLoop` ([#7990](https://github.com/PyTorchLightning/pytorch-lightning/pull/7990), [#8077](https://github.com/PyTorchLightning/pytorch-lightning/pull/8077))
Loop Refactor 4/N - Remove Old Evaluation Loop (#8056)
2021-06-22 09:57:37 +00:00
* Removed `pytorch_lightning/trainer/evaluation_loop.py` ([#8056](https://github.com/PyTorchLightning/pytorch-lightning/pull/8056))
restrict public interface of training loop (#8024) * active optimizers * check checkpoint callback * epoch loop properties * epoch loop methods * training_batch_loop * changelog * update chlog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * unused imports * yapf * backward * fix missing string reference * is_last_batch remains public * remove dead code Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-06-23 10:25:29 +00:00
* Restricted public access to several internal functions ([#8024](https://github.com/PyTorchLightning/pytorch-lightning/pull/8024))
[Refactor] Remove _run_evaluation + 3 EvaluationLoop (#8065) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-22 14:10:07 +00:00
* Refactored trainer `_run_*` functions and separate evaluation loops ([#8065](https://github.com/PyTorchLightning/pytorch-lightning/pull/8065))
`pytorch_lightning.loops` file structure: group by dataloader, epoch, and batch loop (#8077)
2021-06-24 21:40:46 +00:00
* Refactored prediction loop interface; added new classes `PredictionLoop`, `PredictionEpochLoop` ([#7700](https://github.com/PyTorchLightning/pytorch-lightning/pull/7700), [#8077](https://github.com/PyTorchLightning/pytorch-lightning/pull/8077))
Loop Refactor 6/N - Remove Old Predict Loop (#8094)
2021-06-23 12:05:06 +00:00
* Removed `pytorch_lightning/trainer/predict_loop.py` ([#8094](https://github.com/PyTorchLightning/pytorch-lightning/pull/8094))
Move result teardown to loops (#8245) * Move result teardown to loops * Update CHANGELOG * Remove teardown from run * Move previous teardown to on_run_end * Add comment * Merge 8250 * Remove stage set to None where it shouldnt
2021-07-02 13:36:14 +00:00
* Moved result teardown to the loops ([#8245](https://github.com/PyTorchLightning/pytorch-lightning/pull/8245))
[Refactor] Improve loops API 1/n (#8334) * resolve issues * update * update * update * add more exceptions * resolve bug * update * update * update changelog * resolve bug * resolve comments * update * update * update changelog * update * update * remove space * update * re-order protected trainer attr * move public method up * add docs to state dict methods * combine __load with load_state_dict * rename shadowed variable * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * move changelog entry to refactor section * refactor loop_progress property for test helper function * update trainer setter docstring * Update CHANGELOG.md * Update pytorch_lightning/loops/base.py * remove trainer check Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-07-12 11:13:50 +00:00
* Improve `Loop` API to better handle children `state_dict` and `progress` ([#8334](https://github.com/PyTorchLightning/pytorch-lightning/pull/8334))
Rename and move Result (#7736) Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-05-27 12:27:52 +00:00
- Refactored logging
* Renamed and moved `core/step_result.py` to `trainer/connectors/logger_connector/result.py` ([#7736](https://github.com/PyTorchLightning/pytorch-lightning/pull/7736))
New logger connector code (#7882) * New logger connector code * Update CHANGELOG * Update requirements * Fix import path * Add new suffix * Tests * Minor changes * Rename and reorder * Fix import * Formatting * Fix with seed_everything? * Fix test? * Fix test? * Minor change * Minor changes * Minor changes * Force float * Fix minimal bug * Fix minimal bug * Update with latest changes * Fix import * bad merge * update typing Co-authored-by: tchaton <thomas@grid.ai>
2021-06-08 20:20:17 +00:00
* Dramatically simplify the `LoggerConnector` ([#7882](https://github.com/PyTorchLightning/pytorch-lightning/pull/7882))
* `trainer.{logged,progress_bar,callback}_metrics` are now updated on-demand ([#7882](https://github.com/PyTorchLightning/pytorch-lightning/pull/7882))
* Completely overhaul the `Result` object in favor of `ResultMetric` ([#7882](https://github.com/PyTorchLightning/pytorch-lightning/pull/7882))
* Improve epoch-level reduction time and overall memory usage ([#7882](https://github.com/PyTorchLightning/pytorch-lightning/pull/7882))
Enable logger connector re-design (#7891) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-09 14:24:45 +00:00
* Allow passing `self.log(batch_size=...)` ([#7891](https://github.com/PyTorchLightning/pytorch-lightning/pull/7891))
* Each of the training loops now keeps its own results collection ([#7891](https://github.com/PyTorchLightning/pytorch-lightning/pull/7891))
Clean-up after logger connector redesign 1/2 (#7909)
2021-06-10 05:21:03 +00:00
* Remove `EpochResultStore` and `HookResultStore` in favor of `ResultCollection` ([#7909](https://github.com/PyTorchLightning/pytorch-lightning/pull/7909))
* Remove `MetricsHolder` ([#7909](https://github.com/PyTorchLightning/pytorch-lightning/pull/7909))
Enable logger connector re-design (#7891) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-09 14:24:45 +00:00
Rename and move Result (#7736) Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-05-27 12:27:52 +00:00
Move DP warning suppression to the DataParallel Plugin (#7421)
2021-05-07 21:02:44 +00:00
- Moved `ignore_scalar_return_in_dp` warning suppression to the DataParallelPlugin class ([#7421](https://github.com/PyTorchLightning/pytorch-lightning/pull/7421/))
Set `num_nodes` and `sync_batchnorm` From Trainer for Manually Passed Training Type Plugin (#7026) Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-08 11:25:51 +00:00
- Changed the behaviour when logging evaluation step metrics to no longer append `/epoch_*` to the metric name ([#7351](https://github.com/PyTorchLightning/pytorch-lightning/pull/7351))
Extend support for logging a collection (#7771)
2021-06-01 11:51:50 +00:00
- Raise `ValueError` when a `None` value is `self.log`-ed ([#7771](https://github.com/PyTorchLightning/pytorch-lightning/pull/7771))
Default `seed_everything(workers=True)` in the `LightningCLI` (#7504)
2021-05-13 10:18:03 +00:00
- Changed `resolve_training_type_plugins` to allow setting `num_nodes` and `sync_batchnorm` from `Trainer` setting ([#7026](https://github.com/PyTorchLightning/pytorch-lightning/pull/7026))
Set `num_nodes` and `sync_batchnorm` From Trainer for Manually Passed Training Type Plugin (#7026) Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-08 11:25:51 +00:00
Default `seed_everything(workers=True)` in the `LightningCLI` (#7504)
2021-05-13 10:18:03 +00:00
- Default `seed_everything(workers=True)` in the `LightningCLI` ([#7504](https://github.com/PyTorchLightning/pytorch-lightning/pull/7504))
Accelerator model state dict (#7474) * Fix some test errors Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * checkpoint consolidation * Update ddp_spawn.py * Update test_metric_result_integration.py * Update test_results.py * Update utils.py * Update utils.py * Update test_all_gather_grad.py * Update test_all_gather_grad.py * Update test_results.py * Revert "Update test_results.py" This reverts commit 9d4a2b891d2a4b37e21529a444bda1883d1b5ed1. * Revert "Merge pull request #1 from shuyingsunshine21/shuyingsunshine21-checkpoint_consolidate" This reverts commit c5053da789f9d04d2c967a65adf4fb026dc134b8, reversing changes made to 0d23d75bc91e4e0b7805712e394cb093fac22841. * Revert "Update test_all_gather_grad.py" This reverts commit 0d23d75bc91e4e0b7805712e394cb093fac22841. * Revert "Update utils.py" This reverts commit 70fe5da9c66ceff2fcf4be5b9efdd23a9af8389c. * Revert "Update utils.py" This reverts commit a9aae99f6ed6e9388ecf1d8a7bd79966176a65af. * Revert "Update test_results.py" This reverts commit ea749068785bbad689a12066544893b1605f20c5. * Revert "Update test_metric_result_integration.py" This reverts commit bf70e431b3ce4893de804e0f3b5d59e79346d6d7. * Revert "Update ddp_spawn.py" This reverts commit f17210183b84f90c9a62d1ff9b3e05e1fbe5f33b. * Revert "checkpoint consolidation" This reverts commit 536c1323b0e6715fb5919196ea48b0fcddddcd66. * Revert "Revert "checkpoint consolidation"" This reverts commit 3a9fde915ad4c69620a6ccc411f5890cb38ba5ac. * Revert "Revert "Revert "checkpoint consolidation""" This reverts commit 7a369f47e1a94d701fce48c994cc3f2da266dad0. * Revert "Revert "Update ddp_spawn.py"" This reverts commit 8222dc98ead37d961a52b7366070aa10f66d92d1. * Revert "Revert "Update test_metric_result_integration.py"" This reverts commit 6c095b2370a2afe9d24918a5798ce1ebffed7e0d. * Revert "Revert "Update test_results.py"" This reverts commit 250d0aaaa2e6c6a6a3407bc6c8b83c0fe2479c0b. * Revert "Revert "Update utils.py"" This reverts commit 8651d54d79396eaaba16d7eb1e769a1e91d5702e. * Revert "Revert "Update test_all_gather_grad.py"" This reverts commit dcdcd29731061c919b15ab0b56669259817a81c4. * modify distributed environment to make test pass * modify model state dict to training type plugin * remove changes * add changelog * fixing isort for pre-commit failure * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address code review Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: SeanNaren <sean@grid.ai>
2021-05-11 15:39:04 +00:00
Default `seed_everything(workers=True)` in the `LightningCLI` (#7504)
2021-05-13 10:18:03 +00:00
- Changed `model.state_dict()` in `CheckpointConnector` to allow `training_type_plugin` to customize the model's `state_dict()` ([#7474](https://github.com/PyTorchLightning/pytorch-lightning/pull/7474))
- MLflowLogger now uses the env variable `MLFLOW_TRACKING_URI` as default tracking uri ([#7457](https://github.com/PyTorchLightning/pytorch-lightning/pull/7457))
MLFlow now uses env variable as default tracking uri (#7457) * Clarify logger flag Clarify behavior of boolean values on the logger flag for Trainer. * Update docs/source/common/trainer.rst * doc * MLFlow now uses env variable as default tracking uri Solves https://github.com/PyTorchLightning/pytorch-lightning/issues/6894 * Update pytorch_lightning/loggers/mlflow.py Co-authored-by: thomas chaton <thomas@grid.ai> * changelog Co-authored-by: SpontaneousDuck <kennywitham4@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: jirka <jirka.borovec@seznam.cz>
2021-05-12 09:26:57 +00:00
Enables reload of dataloaders on every n epochs from every epoch (#5043) * edit arg to reload_dataloaders_every_n_epoch * init reload_dataloaders_every_n_epoch * edit logic to reload dl * update arg to test datamodule * update arg test dataloader * edit reload dl logic in eval loop * fix var name in reset_train_val_dataloaders * fix error, use current_epoch attribute * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * assert reload_dataloaders_every_n_epochs positive * assert reload_dataloaders_every_n_epochs positive * add trainer property should reload dl * update should reload dl in train loop * condition on should reload dl in eval loop * pep8 * fix update should reload dl in train loop * add test case * replace assertion with misconfig exception * remove unused variable * remove unnecessary checks * replace to BoringModel * remove unrequired comment * deprecate _every_epoch * add deprecated argument to trainer * test case for deprecated arg * remove unrequired assertion in train loop Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify misconfig exception for int Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * conv bool to int of depreciated _every_epoch Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update description of deprecated param Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update deprecation warning Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify argument to int only * fix deprecated test function name Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * merge tests for reload dls * add propery should reload dl * removed and added to trainer property * use property in train loop * remove deprecated test * add deprecated test to new file * test case for exception * update test datamodule every_n_epochs * update trainer docs * update hooks with every_n_epochs * edit format if statement Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * typo in exception * pytest check only misconfig exception * remove unnecessary code in test * remove unnecessary code in deprec test * added match in test * typo in comment * revert to prev, keep only req in context manager * Apply suggestions from code review * docs * rebase * Apply suggestions from code review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix import: model_helpers instead of model_utils * fix, add reload_dataloaders_every_n_epochs argument to data connector * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add required imports * move deprecated log * add missing import rank_zero_warn * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update varname in should_reload_dl_epoch suggestion from code review * Fix CHANGELOG. Update deprecation versions * Minor change * change property name, mark protected * update property name * update property name * Remove deprecated *_loop.py files * Rename test func * Update CHANGELOG.md * use rank_zero_deprecation * update deprecation message in trainer api docs * test deprecation with real arg name in message * fix typo in trainer docs Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-07 11:10:08 +00:00
- Changed `Trainer` arg and functionality from `reload_dataloaders_every_epoch` to `reload_dataloaders_every_n_epochs` ([#5043](https://github.com/PyTorchLightning/pytorch-lightning/pull/5043))
MLFlow now uses env variable as default tracking uri (#7457) * Clarify logger flag Clarify behavior of boolean values on the logger flag for Trainer. * Update docs/source/common/trainer.rst * doc * MLFlow now uses env variable as default tracking uri Solves https://github.com/PyTorchLightning/pytorch-lightning/issues/6894 * Update pytorch_lightning/loggers/mlflow.py Co-authored-by: thomas chaton <thomas@grid.ai> * changelog Co-authored-by: SpontaneousDuck <kennywitham4@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: jirka <jirka.borovec@seznam.cz>
2021-05-12 09:26:57 +00:00
feat(wandb): log models as artifacts (#6231) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-27 18:15:02 +00:00
- Changed `WandbLogger(log_model={True/'all'})` to log models as artifacts ([#6231](https://github.com/PyTorchLightning/pytorch-lightning/pull/6231))
Do not override the logged epoch in `logged_metrics` (#7982)
2021-06-16 13:36:58 +00:00
Add run_name argument to the MLFlowLogger constructor (#7622) * Add run_name argument to the MLFlowLogger * Update CHANGELOG * Fix unnecessary line * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix style by using yapf * Fix import error when mlflow is not installed * Update CHANGELOG.md * Update tests/loggers/test_mlflow.py Co-authored-by: akiyuki ishikawa <aki.y.ishikwa@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-21 08:17:32 +00:00
- MLFlowLogger now accepts `run_name` as an constructor argument ([#7622](https://github.com/PyTorchLightning/pytorch-lightning/issues/7622))
refactor accelerator teardown -> training type plugin teardown (#7579)
2021-05-22 20:19:24 +00:00
- Changed `teardown()` in `Accelerator` to allow `training_type_plugin` to customize `teardown` logic ([#7579](https://github.com/PyTorchLightning/pytorch-lightning/pull/7579))
validate manual optimization and supported features before running training (#7788) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-03 15:42:37 +00:00
- `Trainer.fit` now raises an error when using manual optimization with unsupported features such as `gradient_clip_val` or `accumulate_grad_batches` ([#7788](https://github.com/PyTorchLightning/pytorch-lightning/pull/7788))
[IPU] Call accelerator hooks regardless if LM hook overridden 1/n (#7826) * Modify API to ensure hooks defined in the accelerator are called as expected * handle step_end in dp * Add changelog * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Add todo and explanation Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-04 16:19:08 +00:00
- Accelerator hooks are called regardless if `LightningModule` overrides the same hooks ([#7826](https://github.com/PyTorchLightning/pytorch-lightning/pull/7826))
[doc] Move each profiler to its own file + Add missing PyTorchProfiler to the doc (#7822)
2021-06-04 15:38:29 +00:00
- Moved profilers to their own file ([#7822](https://github.com/PyTorchLightning/pytorch-lightning/pull/7822))
Add the `on_before_optimizer_step` hook (#8048) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-09 11:30:52 +00:00
- The `on_after_backward` hook is now called on accumulating iterations. Use the `on_before_optimizer_step` hook to mimic the old behaviour ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
Refactor plugins backward (#8328)
2021-07-08 14:02:09 +00:00
Add the `on_before_optimizer_step` hook (#8048) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-09 11:30:52 +00:00
- The mixed precision loss is no longer unscaled before the `on_after_backward` hook. Use the `on_before_optimizer_step` hook to mimic the old behaviour ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
Refactor plugins backward (#8328)
2021-07-08 14:02:09 +00:00
- The `TrainingTypePlugin.{pre,post}_backward` hooks no longer take the `optimizer, opt_idx, should_accumulate` arguments ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
- The `PrecisionPlugin.backward` hooks no longer returns a value ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
- The `PrecisionPlugin.backward` hooks no longer takes a `should_accumulate` argument ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
move amp checkpoint state management to precision plugin (#7831)
2021-06-07 07:45:01 +00:00
Add the `on_before_backward` hook (#7865) * Add callback to hook tests and add predict test * Fix lambda callback test * Simplify lambda call test * Use LambdaCallback * Dynamically append to called for the model * Remove print * Consistency * Consistency * Prepare args/kwargs testing * yapf doesn't like dict literals * Add arguments for fit no val test * Add arguments for fit no val test * add before_backward_hook * add test * resolve flake8 * resolve tests * update changelog * add on_before_backward to LightningModule * update on comments * Test arguments * Datamodule refactor * Fix eval test * remove extra file * resolve bug * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * move to hooks * update * resolve flake8 * update on comments * Update full fit + val test * Update test * Remove FIXME * Remove FIXME * Undo change * Fix * Parametrize fit hook test * Comment * Parametrize fit hook test with different precision plugins * Fix tests * Parametrize fit hook test with manual optimization * Unnecessary parenthesis * WIP * Comments * Fix message * Test CI error * Revert "Test CI error" This reverts commit 39c4a85a83cf32081b721f939ff83500b93f2dd3. * Add ddp training type teardown * Update CHANGELOG * Adrian's fix * Use destructor * Update CHANGELOG.md * RPC destructor * Update pytorch_lightning/plugins/training_type/ddp.py * Why do you not work :( * Missing condition * Fix deepspeed test * GC collect in conftest * Do not show warnings for special tests * Needs to run on 1.8 To avoid: "RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:32, unhandled cuda error, NCCL version 2.4.8" * Run torch 1.8 * Skip test due to 'Python bus error' * Debug NCCL * shm size * Disable warnings for special tests * Remove NCCL_DEBUG statement * Try smaller shm size * Revert "Skip test due to 'Python bus error'" This reverts commit e0a3e8785d2fecd63667da433a648f958d60ef89. * README and adjust versions * Avoid self.on_gpu call * empty cache cleanup * More garbage collection * Unroll parametrizations * Do not reuse mock * Undo changes * Undo notebooks modification * resolve test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * delete file * Undo * Fix test * Revert "WIP" This reverts commit f5828a8c426ff44275f560aec8d898f56da2cbfe. * Rename * Remove optimizers * Fix bug with LightningOptimizer * Add optimizers * update * update * Update CHANGELOG * On after backward refactor * Do not call super * Fixes * Remove should_accumulate * pre/post backward refactor * Call the LM backward hook * Update tests * Remove dev debug patch * Fix test * Remove optimizer arguments and typing * Docs fixes * Fix comment * Undo changes * Split manual and auto * Undo change * Deepsource * Remove optimizers * Undo changes * Call the hook * Docs * Docs Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-09 06:15:57 +00:00
- Added the `on_before_backward` hook ([#7865](https://github.com/PyTorchLightning/pytorch-lightning/pull/7865))
Improvements related to save of config file by LightningCLI (#7963) * - Exclude SaveConfigCallback for fast_dev_run=True. - SaveConfigCallback give a clearer message if config file already exists. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * - Added unit test - Added entry in changelog - Improved save config docstring * Fix log line * Fixes * Fix changelog entry * Update pytorch_lightning/utilities/cli.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Suggested fixed change Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-15 21:26:39 +00:00
- `LightningCLI` now aborts with a clearer message if config already exists and disables save config during `fast_dev_run`([#7963](https://github.com/PyTorchLightning/pytorch-lightning/pull/7963))
[CLI] Drop `ArgumentParser` when pickling and save before spawning (#8017) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-07 17:56:13 +00:00
- Save the `LightningCLI` config on `setup` and only on the main process ([#8017](https://github.com/PyTorchLightning/pytorch-lightning/pull/8017))
- Drop the `LightningCLI` `ArgumentParser` when pickling ([#8017](https://github.com/PyTorchLightning/pytorch-lightning/pull/8017))
- Skip `broadcast` if distributed not initialized for the spawn plugins ([#8017](https://github.com/PyTorchLightning/pytorch-lightning/pull/8017))
progressive restoring of trainer state (#7652)
2021-06-17 08:13:53 +00:00
- `Trainer(resume_from_checkpoint=...)` now restores the model directly after `LightningModule.setup()`, which is before `LightningModule.configure_sharded_model()` ([#7652](https://github.com/PyTorchLightning/pytorch-lightning/pull/7652))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
### Deprecated
Deprecate `LightningModule.loaded_optimizer_states_dict` (#8229)
2021-07-01 21:02:29 +00:00
- Deprecated `LightningModule.loaded_optimizer_states_dict` ([#8229](https://github.com/PyTorchLightning/pytorch-lightning/pull/8229))
Standardize positional datamodule and argument names (#7431) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-15 11:50:13 +00:00
- Standardized the dataloaders arguments of `trainer.{fit,valdiate,test,tune}` ([#7431](https://github.com/PyTorchLightning/pytorch-lightning/pull/7431))
Deprecate `LightningDataModule` lifecycle properties (#7657) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-06-09 12:30:40 +00:00
- Deprecated `DataModule` properties: `has_prepared_data`, `has_setup_fit`, `has_setup_validate`, `has_setup_test`, `has_setup_predict`, `has_teardown_fit`, `has_teardown_validate`, `has_teardown_test`, `has_teardown_predict` ([#7657](https://github.com/PyTorchLightning/pytorch-lightning/pull/7657/))
Deprecate TrainerModelHooksMixin (#7422) * Deprecate TrainerModelHooksMixin * Update CHANGELOG.md * Update model_hooks.py * Update model_hooks.py
2021-05-07 20:19:36 +00:00
- Deprecated `TrainerModelHooksMixin` in favor of `pytorch_lightning.utilities.signature_utils` ([#7422](https://github.com/PyTorchLightning/pytorch-lightning/pull/7422))
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Deprecated `num_nodes` and `sync_batchnorm` arguments in `DDPPlugin` and `DDPSpawnPlugin` ([#7026](https://github.com/PyTorchLightning/pytorch-lightning/pull/7026))
Set `num_nodes` and `sync_batchnorm` From Trainer for Manually Passed Training Type Plugin (#7026) Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-08 11:25:51 +00:00
Enable logger connector re-design (#7891) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-09 14:24:45 +00:00
- Deprecated `self.log(sync_dist_op)` in favor of `self.log(reduce_fx)`. ([#7891](https://github.com/PyTorchLightning/pytorch-lightning/pull/7891))
`is_overridden` improvements (#7918) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-11 11:47:00 +00:00
- Deprecated `is_overridden(model=...)` in favor of `is_overridden(instance=...)` ([#7918](https://github.com/PyTorchLightning/pytorch-lightning/pull/7918))
Deprecate returning extras with grads (#7994) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-18 12:05:37 +00:00
- Deprecated automatically detaching returned extras with grads ([#7994](https://github.com/PyTorchLightning/pytorch-lightning/pull/7994))
Deprecate the default `EarlyStopping` callback monitor value (#7907) * removed monitor default value and added depreceation message * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * format change * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * requested changes * added test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * format changes * typehint change * Update CHANGELOG.md * requested changes * regex Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-11 00:33:39 +00:00
- Deprecated default value of `monitor` argument in EarlyStopping callback to enforce `monitor` as a required argument ([#7907](https://github.com/PyTorchLightning/pytorch-lightning/pull/7907))
Deprecate moved warning functions (#8085)
2021-06-22 22:09:42 +00:00
- Deprecated importing `rank_zero_{warn,deprecation}` directly from `pytorch_lightning.utilities.distributed` ([#8085](https://github.com/PyTorchLightning/pytorch-lightning/pull/8085))
deprecate hpc_load() and integrate it with restore() (#7955) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-14 12:20:01 +00:00
- Deprecated the use of `CheckpointConnector.hpc_load()` in favor of `CheckpointConnector.restore()` ([#7652](https://github.com/PyTorchLightning/pytorch-lightning/pull/7652))
`every_n_val_epochs` -> `every_n_epochs` (#8383)
2021-07-12 23:20:20 +00:00
- Deprecated `ModelCheckpoint(every_n_val_epochs)` in favor of `ModelCheckpoint(every_n_epochs)` ([#8383](https://github.com/PyTorchLightning/pytorch-lightning/pull/8383))
Deprecate `DDPPlugin.task_idx` (#8203)
2021-06-29 23:02:55 +00:00
- Deprecated `DDPPlugin.task_idx` in favor of `DDPPlugin.local_rank` ([#8203](https://github.com/PyTorchLightning/pytorch-lightning/pull/8203))
rename old `Trainer.train_loop` -> `Trainer.fit_loop` (#8025)
2021-06-22 09:49:32 +00:00
- Deprecated the `Trainer.train_loop` property in favor of `Trainer.fit_loop` ([#8025](https://github.com/PyTorchLightning/pytorch-lightning/pull/8025))
Deprecate `trainer.disable_validation` (#8291)
2021-07-05 14:52:49 +00:00
- Deprecated the `Trainer.disable_validation` property in favor of `not Trainer.enable_validation` ([#8291](https://github.com/PyTorchLightning/pytorch-lightning/pull/8291))
Add `ModelSummary.max_depth` (#8062) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-01 10:08:16 +00:00
- Deprecated `mode` parameter in `ModelSummary` in favor of `max_depth` ([#8062](https://github.com/PyTorchLightning/pytorch-lightning/pull/8062))
Enables reload of dataloaders on every n epochs from every epoch (#5043) * edit arg to reload_dataloaders_every_n_epoch * init reload_dataloaders_every_n_epoch * edit logic to reload dl * update arg to test datamodule * update arg test dataloader * edit reload dl logic in eval loop * fix var name in reset_train_val_dataloaders * fix error, use current_epoch attribute * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * assert reload_dataloaders_every_n_epochs positive * assert reload_dataloaders_every_n_epochs positive * add trainer property should reload dl * update should reload dl in train loop * condition on should reload dl in eval loop * pep8 * fix update should reload dl in train loop * add test case * replace assertion with misconfig exception * remove unused variable * remove unnecessary checks * replace to BoringModel * remove unrequired comment * deprecate _every_epoch * add deprecated argument to trainer * test case for deprecated arg * remove unrequired assertion in train loop Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify misconfig exception for int Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * conv bool to int of depreciated _every_epoch Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update description of deprecated param Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update deprecation warning Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify argument to int only * fix deprecated test function name Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * merge tests for reload dls * add propery should reload dl * removed and added to trainer property * use property in train loop * remove deprecated test * add deprecated test to new file * test case for exception * update test datamodule every_n_epochs * update trainer docs * update hooks with every_n_epochs * edit format if statement Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * typo in exception * pytest check only misconfig exception * remove unnecessary code in test * remove unnecessary code in deprec test * added match in test * typo in comment * revert to prev, keep only req in context manager * Apply suggestions from code review * docs * rebase * Apply suggestions from code review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix import: model_helpers instead of model_utils * fix, add reload_dataloaders_every_n_epochs argument to data connector * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add required imports * move deprecated log * add missing import rank_zero_warn * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update varname in should_reload_dl_epoch suggestion from code review * Fix CHANGELOG. Update deprecation versions * Minor change * change property name, mark protected * update property name * update property name * Remove deprecated *_loop.py files * Rename test func * Update CHANGELOG.md * use rank_zero_deprecation * update deprecation message in trainer api docs * test deprecation with real arg name in message * fix typo in trainer docs Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-07 11:10:08 +00:00
- Deprecated `reload_dataloaders_every_epoch` argument of `Trainer` in favor of `reload_dataloaders_every_n_epochs` ([#5043](https://github.com/PyTorchLightning/pytorch-lightning/pull/5043))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
### Removed
Set minimum PyTorch version to 1.6 (#8288) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-13 17:12:49 +00:00
- Dropped official support/testing for PyTorch <1.6 ([#8288](https://github.com/PyTorchLightning/pytorch-lightning/pull/8288))
Remove ProfilerConnector class (#7654) * Remove ProfilerConnector class * Update trainer.py * Update CHANGELOG.md * Update trainer.py * Update trainer.py * tests
2021-05-24 15:58:15 +00:00
- Removed `ProfilerConnector` ([#7654](https://github.com/PyTorchLightning/pytorch-lightning/pull/7654))
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Prune deprecated classif. metrics from `pytorch_lightning.metrics.functional.classification` ([#7499](https://github.com/PyTorchLightning/pytorch-lightning/pull/7499))
Prune deprecated classif. metrics (#7499) * stat_scores_multiple_classes * precision_recall * precision * recall * auc * auroc * multiclass_auroc * iou * clean-up * chlog * flake8 * imports * prune
2021-05-12 18:03:34 +00:00
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Removed deprecated data parallel classes `LightningDataParallel` and `LightningDistributedDataParallel` from `pytorch_lightning.overrides.data_parallel` ([#7510](https://github.com/PyTorchLightning/pytorch-lightning/pull/7510))
prune data parallel (#7510)
2021-05-13 05:23:02 +00:00
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Removed deprecated trainer attributes - `get_model` and `accelerator_backend` ([#7502](https://github.com/PyTorchLightning/pytorch-lightning/pull/7502))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
Prune deprecated classif. metrics (#7499) * stat_scores_multiple_classes * precision_recall * precision * recall * auc * auroc * multiclass_auroc * iou * clean-up * chlog * flake8 * imports * prune
2021-05-12 18:03:34 +00:00
Remove magic monitor support for `ModelCheckpoint` (#8293)
2021-07-07 17:36:19 +00:00
- Removed support for automatically monitoring the `val_loss` key with `ModelCheckpoint`. Pass your `monitor` of choice to the `ModelCheckpoint` instance instead ([#8293](https://github.com/PyTorchLightning/pytorch-lightning/pull/8293))
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Removed support for `self.log(tbptt_reduce_fx)` and `self.log(tbptt_pad_token)`. Please, open a discussion explaining your use-case if you relied on these. ([#7644](https://github.com/PyTorchLightning/pytorch-lightning/pull/7644))
- Removed deprecated utils modules `model_utils`, `warning_utils`, `xla_device_utils` and partially `argparse_utils` ([#7503](https://github.com/PyTorchLightning/pytorch-lightning/pull/7503))
Prune deprecated utils modules (#7503) * argparse_utils * model_utils * warning_utils * xla_device_utils * chlog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-13 07:24:42 +00:00
Nuke RPC (#8101)
2021-06-23 18:31:13 +00:00
- Removed `RPCPlugin` and `RPCSequentialPlugin`. If you were successfully using these plugins, please open a GitHub discussion about your use case ([#8101](https://github.com/PyTorchLightning/pytorch-lightning/pull/8101))
Prune deprecated trainer attributes (#7501) * use_single_gpu * use_horovod * use_ddp2 * use_ddp * use_dp * on_gpu * use_tpu * on_tpu * on_cpu * cleaning * chlog * Apply suggestions from code review * Apply suggestions from code review
2021-05-12 20:10:15 +00:00
- Removed deprecated trainer attributes - `on_cpu`, `on_tpu`, `use_tpu`, `on_gpu`, `use_dp`, `use_ddp`, `use_ddp2`, `use_horovod`, `use_single_gpu` ([#7501](https://github.com/PyTorchLightning/pytorch-lightning/pull/7501))
Remove deprecated optimizer argument from `manual_backward` (#8287) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-07-06 08:18:08 +00:00
- Removed deprecated `optimizer` argument in `LightningModule.manual_backward()`; Toggling optimizers in manual optimization should be done using `LightningModule.{un}toggle_optimizer()` ([#8287](https://github.com/PyTorchLightning/pytorch-lightning/pull/8287))
[Refactor] Improve loops API 1/n (#8334) * resolve issues * update * update * update * add more exceptions * resolve bug * update * update * update changelog * resolve bug * resolve comments * update * update * update changelog * update * update * remove space * update * re-order protected trainer attr * move public method up * add docs to state dict methods * combine __load with load_state_dict * rename shadowed variable * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * move changelog entry to refactor section * refactor loop_progress property for test helper function * update trainer setter docstring * Update CHANGELOG.md * Update pytorch_lightning/loops/base.py * remove trainer check Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-07-12 11:13:50 +00:00
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
### Fixed
Fix checkpointed state for lr_schedulers with step interval (#7877) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-06-21 15:08:07 +00:00
- Fixed `lr_scheduler` checkpointed state by calling `update_lr_schedulers` before saving checkpoints ([#7877](https://github.com/PyTorchLightning/pytorch-lightning/pull/7877))
fix: improve UserWarning message (#7685) * fix: improve UserWarning message when both overfit and training dtaloader shuffling are enabled fixes issue: #7656 * chore: update changelog * Polish userwarning msg in pytorch_lightning/trainer/data_loading.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * shuffling typo * Update CHANGELOG.md Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-25 17:35:15 +00:00
- Fixed ambiguous warning when both overfit and train dataloader shuffling are enabled ([#7685](https://github.com/PyTorchLightning/pytorch-lightning/pull/7685))
Fix dataloaders are not reset when tuning the model (#7566) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-24 08:21:45 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed dev debugger memory growing due to tracking events even when disabled ([#7875](https://github.com/PyTorchLightning/pytorch-lightning/pull/7875))
Fix global step update when the epoch is skipped (#7677) * Fix global step update when the epoch is skipped * Update CHANGELOG * Move test
2021-05-24 16:36:56 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed `None` loss keys getting added in `training_epoch_end` when using manual optimization and not returning a loss ([#7772](https://github.com/PyTorchLightning/pytorch-lightning/pull/7772))
Only track dev debugger events if enabled (#7875)
2021-06-08 12:11:20 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed a bug where `precision=64` with `accelerator='ddp_spawn'` would throw a pickle error ([#6924](https://github.com/PyTorchLightning/pytorch-lightning/pull/6924))
Increment the total batch idx before the accumulation early exit (#7692) * Increment the total batch idx before the accumulation early exit * Update CHANGELOG
2021-05-25 08:23:40 +00:00
Do not override the logged epoch in `logged_metrics` (#7982)
2021-06-16 13:36:58 +00:00
- Do not override the existing `epoch` value in `logged_metrics` when already logged by the user ([#7982](https://github.com/PyTorchLightning/pytorch-lightning/issues/7982))
[fix] Enable manual optimization DeepSpeed (#7970) * resolve manual optimization * resolve manual optimization * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update changelog * Simplify message * Move from deprecated * Split model parallel/manual model * Use property Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: SeanNaren <sean@grid.ai>
2021-06-16 09:25:41 +00:00
- Support manual optimization with DeepSpeed ([#7970](https://github.com/PyTorchLightning/pytorch-lightning/pull/7970))
Improve `LightningDataModule` hook test and fix `dataloader_idx` argument (#7941) Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-06-14 12:42:13 +00:00
- Fixed `dataloader_idx` argument value when predicting with only one `DataLoader` ([#7941](https://github.com/PyTorchLightning/pytorch-lightning/pull/7941))
Add predict hook test (#7973)
2021-06-16 13:09:24 +00:00
- Pass the `stage` argument of `Callback.{setup,teardown}` as a keyword ([#7973](https://github.com/PyTorchLightning/pytorch-lightning/pull/7973))
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
- Fixed metrics generated during `validation sanity checking` are cleaned on end ([#8171](https://github.com/PyTorchLightning/pytorch-lightning/pull/8171))
resurface lost ddp info message (#8111)
2021-06-27 19:51:15 +00:00
update changelog after 1.3.7 (#8075)
2021-06-22 09:44:52 +00:00
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
- Fixed `log_gpu_memory` metrics not being added to `logging` when nothing else is logged ([#8174](https://github.com/PyTorchLightning/pytorch-lightning/pull/8174))
[bugfix] Clean Validation Sanity Checking metrics (#8171) * resolve logging issue * update changelog * remove breakpoint * resolve bugs * remove pass
2021-06-28 17:49:56 +00:00
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
- Fixed a bug where calling `log` with a `Metric` instance would raise an error if it was a nested attribute of the model ([#8181](https://github.com/PyTorchLightning/pytorch-lightning/pull/8181))
Fix module dict in base finetuning (#8170) * Fix module dict in base finetuning * Update CHANGELOG.md
2021-06-28 10:55:32 +00:00
Merge pull request #8174 from PyTorchLightning/bugfix/8159_log_gpu_memory_on_step [bugfix] Resolve memory not logged when missing metrics
2021-06-28 13:39:17 +00:00
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
- Fixed a bug where using `precision=64` would cause buffers with complex dtype to be cast to real ([#8208](https://github.com/PyTorchLightning/pytorch-lightning/pull/8208))
fix NCCL error with non-consecutive trainer gpus (#8165) * device ids in barrier x x s same fix for spawn fix non-nccl x * add changelog * get nccl backend * get backend Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-06-28 20:08:10 +00:00
Add `functools.wraps` support for `is_overridden` (#8296)
2021-07-06 08:40:54 +00:00
- Fixed `is_overridden` returning true for wrapped functions with no changes ([#8296](https://github.com/PyTorchLightning/pytorch-lightning/pull/8296))
move batch to device before sending it to hooks (#7378) * update train step * test * x * limits * val * typeo * x * x * step * min gpus * run all loops * x * limit test * profiler * clean up accelerator code * move files * rename * move tests * changelog * reorder callbacks and model hooks * add test description * replace unneccessary method * fix chlog * adjust batch_to_device for DP Plugin * update tests for dataloader idx * unused imports * hook change * switch None * clear memory * change to None * None * None * memory savings * remove redundant todo * hack * cheat * Revert "cheat" This reverts commit a8433bd0b4bd35f218993335f7d4ff18977ae423. * Revert "hack" This reverts commit 43a6d1edeb62a15ac69ef69ef2352581ba1947a5. * update new epoch loop * remove from old loop code * update chlog * update hook test * changelog * teardown * integrate changes in new eval loop * fix hook calls * add prediction step * bad merge * Revert "bad merge" This reverts commit 488080863cf012dcf04446be3b7d973b7340687e. * fix train batch hook test * rm -rf _notebooks * update chlog * release memory * fix type * notebooks mess * debug * Revert "debug" This reverts commit eec4ee2f77b5eb39965211a250598ed5d2320e88. * teardown * fix teardown bug * debug * x * debug * Revert "debug" This reverts commit a6e61019462b80d09d31b65bed289fa6e4dd15f6. Revert "debug" This reverts commit 5ddeaec06911e96730aade1be6ee71d097b46b9a. debug debug Revert "debug" This reverts commit 605be746f7daedf265b2c05a1c153ce543394435. Revert "Revert "debug"" This reverts commit a7612d5410409ed886cfb609457349ecf44cbfa8. debug x x x s tol x tol * Fix changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-07-05 08:31:39 +00:00
- Fixed a bug where `truncated_bptt_steps` would throw an AttributeError when the target RNN has multiple hidden states ([#8145](https://github.com/PyTorchLightning/pytorch-lightning/pull/8145))
Fix `self.optimizers()` not returning a single `LightningOptimizer` (#8326)
2021-07-07 16:57:45 +00:00
- Fixed `self.optimizers()` not returning a single optimizer if it had been wrapped ([#8326](https://github.com/PyTorchLightning/pytorch-lightning/pull/8326))
Refactor plugins backward (#8328)
2021-07-08 14:02:09 +00:00
- Fixed the `on_after_backward` hook not getting called when using manual optimization and no plugins ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
- Fixed the `LightningModule.backward` hook only getting called with the `apex` plugin when using manual optimization ([#8328](https://github.com/PyTorchLightning/pytorch-lightning/pull/8328))
move batch to device before sending it to hooks (#7378) * update train step * test * x * limits * val * typeo * x * x * step * min gpus * run all loops * x * limit test * profiler * clean up accelerator code * move files * rename * move tests * changelog * reorder callbacks and model hooks * add test description * replace unneccessary method * fix chlog * adjust batch_to_device for DP Plugin * update tests for dataloader idx * unused imports * hook change * switch None * clear memory * change to None * None * None * memory savings * remove redundant todo * hack * cheat * Revert "cheat" This reverts commit a8433bd0b4bd35f218993335f7d4ff18977ae423. * Revert "hack" This reverts commit 43a6d1edeb62a15ac69ef69ef2352581ba1947a5. * update new epoch loop * remove from old loop code * update chlog * update hook test * changelog * teardown * integrate changes in new eval loop * fix hook calls * add prediction step * bad merge * Revert "bad merge" This reverts commit 488080863cf012dcf04446be3b7d973b7340687e. * fix train batch hook test * rm -rf _notebooks * update chlog * release memory * fix type * notebooks mess * debug * Revert "debug" This reverts commit eec4ee2f77b5eb39965211a250598ed5d2320e88. * teardown * fix teardown bug * debug * x * debug * Revert "debug" This reverts commit a6e61019462b80d09d31b65bed289fa6e4dd15f6. Revert "debug" This reverts commit 5ddeaec06911e96730aade1be6ee71d097b46b9a. debug debug Revert "debug" This reverts commit 605be746f7daedf265b2c05a1c153ce543394435. Revert "Revert "debug"" This reverts commit a7612d5410409ed886cfb609457349ecf44cbfa8. debug x x x s tol x tol * Fix changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-07-05 08:31:39 +00:00
- Fixed moving batch to device before sending it to the `on_*_batch_start`/`on_*_batch_end` callbacks and model hooks ([#7378](https://github.com/PyTorchLightning/pytorch-lightning/pull/7378))
- Fixed passing a custom `DDPPlugin` when choosing `accelerator="ddp_cpu"` for the accelerator ([#6208](https://github.com/PyTorchLightning/pytorch-lightning/pull/6208))
Merge pull request #8174 from PyTorchLightning/bugfix/8159_log_gpu_memory_on_step [bugfix] Resolve memory not logged when missing metrics
2021-06-28 13:39:17 +00:00
fix missing call to untoggle_optimizer when accumulating gradients (#8284) * add fix * toggle test * re-structure * update changelog * update comment * remove debugging assertion
2021-07-05 11:59:04 +00:00
- Fixed missing call to `LightningModule.untoggle_optimizer` in training loop when running gradient accumulation with multiple optimizers ([#8284](https://github.com/PyTorchLightning/pytorch-lightning/pull/8284))
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
## [1.3.8] - 2021-07-01
Merge pull request #8174 from PyTorchLightning/bugfix/8159_log_gpu_memory_on_step [bugfix] Resolve memory not logged when missing metrics
2021-06-28 13:39:17 +00:00
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
### Fixed
Fix metric attribute lookup (#8181) * Fix metric attribute lookup * Update CHANGELOG.md * Split tests
2021-06-28 20:17:43 +00:00
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
- Fixed a sync deadlock when checkpointing a `LightningModule` that uses a torchmetrics 0.4 `Metric` ([#8218](https://github.com/PyTorchLightning/pytorch-lightning/pull/8218))
- Fixed compatibility TorchMetrics v0.4 ([#8206](https://github.com/PyTorchLightning/pytorch-lightning/pull/8206))
- Added torchelastic check when sanitizing GPUs ([#8095](https://github.com/PyTorchLightning/pytorch-lightning/pull/8095))
- Fixed a DDP info message that was never shown ([#8111](https://github.com/PyTorchLightning/pytorch-lightning/pull/8111))
- Fixed metrics deprecation message at module import level ([#8163](https://github.com/PyTorchLightning/pytorch-lightning/pull/8163))
- Fixed a bug where an infinite recursion would be triggered when using the `BaseFinetuning` callback on a model that contains a `ModuleDict` ([#8170](https://github.com/PyTorchLightning/pytorch-lightning/pull/8170))
- Added a mechanism to detect `deadlock` for `DDP` when only 1 process trigger an `Exception`. The mechanism will `kill the processes` when it happens ([#8167](https://github.com/PyTorchLightning/pytorch-lightning/pull/8167))
- Fixed NCCL error when selecting non-consecutive device ids ([#8165](https://github.com/PyTorchLightning/pytorch-lightning/pull/8165))
- Fixed SWA to also work with `IterableDataset` ([#8172](https://github.com/PyTorchLightning/pytorch-lightning/pull/8172))
Fix double precision casting complex buffers (#8208) * Fix double precision casting complex buffers * Update CHANGELOG.md * Fixes * Fixes * Fix Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-30 09:57:42 +00:00
update changelog after 1.3.7 (#8075)
2021-06-22 09:44:52 +00:00
## [1.3.7] - 2021-06-22
update changelog after 1.3.8 patch release (#8239) Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2021-07-01 21:49:06 +00:00
### Fixed
update changelog after 1.3.7 (#8075)
2021-06-22 09:44:52 +00:00
- Fixed a bug where skipping an optimizer while using amp causes amp to trigger an assertion error ([#7975](https://github.com/PyTorchLightning/pytorch-lightning/pull/7975))
- Fixed deprecation messages not showing due to incorrect stacklevel ([#8002](https://github.com/PyTorchLightning/pytorch-lightning/pull/8002), [#8005](https://github.com/PyTorchLightning/pytorch-lightning/pull/8005))
- Fixed setting a `DistributedSampler` when using a distributed plugin in a custom accelerator ([#7814](https://github.com/PyTorchLightning/pytorch-lightning/pull/7814))
- Improved `PyTorchProfiler` chrome traces names ([#8009](https://github.com/PyTorchLightning/pytorch-lightning/pull/8009))
- Fixed moving the best score to device in `EarlyStopping` callback for TPU devices ([#7959](https://github.com/PyTorchLightning/pytorch-lightning/pull/7959))
move batch to device before sending it to hooks (#7378) * update train step * test * x * limits * val * typeo * x * x * step * min gpus * run all loops * x * limit test * profiler * clean up accelerator code * move files * rename * move tests * changelog * reorder callbacks and model hooks * add test description * replace unneccessary method * fix chlog * adjust batch_to_device for DP Plugin * update tests for dataloader idx * unused imports * hook change * switch None * clear memory * change to None * None * None * memory savings * remove redundant todo * hack * cheat * Revert "cheat" This reverts commit a8433bd0b4bd35f218993335f7d4ff18977ae423. * Revert "hack" This reverts commit 43a6d1edeb62a15ac69ef69ef2352581ba1947a5. * update new epoch loop * remove from old loop code * update chlog * update hook test * changelog * teardown * integrate changes in new eval loop * fix hook calls * add prediction step * bad merge * Revert "bad merge" This reverts commit 488080863cf012dcf04446be3b7d973b7340687e. * fix train batch hook test * rm -rf _notebooks * update chlog * release memory * fix type * notebooks mess * debug * Revert "debug" This reverts commit eec4ee2f77b5eb39965211a250598ed5d2320e88. * teardown * fix teardown bug * debug * x * debug * Revert "debug" This reverts commit a6e61019462b80d09d31b65bed289fa6e4dd15f6. Revert "debug" This reverts commit 5ddeaec06911e96730aade1be6ee71d097b46b9a. debug debug Revert "debug" This reverts commit 605be746f7daedf265b2c05a1c153ce543394435. Revert "Revert "debug"" This reverts commit a7612d5410409ed886cfb609457349ecf44cbfa8. debug x x x s tol x tol * Fix changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-07-05 08:31:39 +00:00
- Fixes access to `callback_metrics` in ddp_spawn ([#7916](https://github.com/PyTorchLightning/pytorch-lightning/pull/7916))
Fix(Early Stopping): move best score to device (#7959)
2021-06-21 10:11:41 +00:00
CHANGELOG update after v1.3.6 release (#7988)
2021-06-17 15:59:40 +00:00
## [1.3.6] - 2021-06-15
### Fixed
- Fixed logs overwriting issue for remote filesystems ([#7889](https://github.com/PyTorchLightning/pytorch-lightning/pull/7889))
- Fixed `DataModule.prepare_data` could only be called on the global rank 0 process ([#7945](https://github.com/PyTorchLightning/pytorch-lightning/pull/7945))
- Fixed setting `worker_init_fn` to seed dataloaders correctly when using DDP ([#7942](https://github.com/PyTorchLightning/pytorch-lightning/pull/7942))
Properly handle parent modules w/ parameters in `BaseFinetuning` callback (#7931) Co-authored-by: Daniel Dale <dan@distributedinsight.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-06-14 16:01:07 +00:00
- Fixed `BaseFinetuning` callback to properly handle parent modules w/ parameters ([#7931](https://github.com/PyTorchLightning/pytorch-lightning/pull/7931))
Add `add_to_queue`/`get_from_queue` for DDP spawn(#7916) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-23 01:19:37 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
## [1.3.5] - 2021-06-08
Override `broadcast_object_list` for `torch<1.8` (#7592) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-20 08:29:55 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Added
Override `broadcast_object_list` for `torch<1.8` (#7592) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-20 08:29:55 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Added warning to Training Step output ([#7779](https://github.com/PyTorchLightning/pytorch-lightning/pull/7779))
Clear predict_progress_bar in ProgressBar.__getstate__ (#7608) Co-authored-by: Yifu Wang <yifuwang@2012@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-20 01:38:49 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Fixed
Clear predict_progress_bar in ProgressBar.__getstate__ (#7608) Co-authored-by: Yifu Wang <yifuwang@2012@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-05-20 01:38:49 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed `LearningRateMonitor` and `BackboneFinetuning` ([#7835](https://github.com/PyTorchLightning/pytorch-lightning/pull/7835))
- Minor improvements to `apply_to_collection` and type signature of `log_dict` ([#7851](https://github.com/PyTorchLightning/pytorch-lightning/pull/7851))
- Fixed docker versions ([#7834](https://github.com/PyTorchLightning/pytorch-lightning/pull/7834))
- Fixed sharded training check for fp16 precision ([#7825](https://github.com/PyTorchLightning/pytorch-lightning/pull/7825))
- Fixed support for torch Module type hints in LightningCLI ([#7807](https://github.com/PyTorchLightning/pytorch-lightning/pull/7807))
Avoid adding `None` loss values in `training_epoch_end` (#7772)
2021-05-31 19:28:28 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Changed
Avoid adding `None` loss values in `training_epoch_end` (#7772)
2021-05-31 19:28:28 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Move `training_output` validation to after `train_step_end` ([#7868](https://github.com/PyTorchLightning/pytorch-lightning/pull/7868))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
Fix DeepSpeedPlugin with IterableDataset (#7362) * deepspeed add train_micro_batch_size_per_gpu argument * Update naming and doc * Modify to use auto naming convention, add test * Add iterable tests * Fix tests, attempt by mocking * Import correct package * Fix comparison * Set as special test * Remove import * Add Changelog Co-authored-by: SeanNaren <sean@grid.ai>
2021-05-07 09:46:03 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
## [1.3.4] - 2021-06-01
fix info message when max training time reached (#7780) * call time_elapsed * elapsed formatting * format * update test * changelog
2021-05-31 12:50:16 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Fixed
fix info message when max training time reached (#7780) * call time_elapsed * elapsed formatting * format * update test * changelog
2021-05-31 12:50:16 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed info message when max training time reached ([#7780](https://github.com/PyTorchLightning/pytorch-lightning/pull/7780))
- Fixed missing `__len__` method to `IndexBatchSamplerWrapper` ([#7681](https://github.com/PyTorchLightning/pytorch-lightning/pull/7681))
Fix double precision + ddp_spawn (#6924) * Initial fix * Initial fix * Initial fix * Updates * Updates * Update typing and docs * Undo accidental refactor * Remove unused imports * Add DDP double precision test * Remove unused variable * Update CHANGELOG.md * Fix test * Update tests * Formatting * Revert bad change * Add back changes * Correct wrapping order * Improve unwrapping * Correct wrapping order * Fix... finally * Respond to comments * Drop ddp test * Simplify ddp spawn test * Simplify ddp spawn test Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-06-01 15:21:17 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
## [1.3.3] - 2021-05-27
Fix support for torch Module type hints in LightningCLI (#7807) * Fixed support for torch Module type hints in LightningCLI * - Fix issue with serializing values when type hint is Any. - Run unit test only on newer torchvision versions in which the base class is Module. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor change * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-04 05:43:43 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Changed
Fix support for torch Module type hints in LightningCLI (#7807) * Fixed support for torch Module type hints in LightningCLI * - Fix issue with serializing values when type hint is Any. - Run unit test only on newer torchvision versions in which the base class is Module. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor change * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-04 05:43:43 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Changed calling of `untoggle_optimizer(opt_idx)` out of the closure function ([#7563](https://github.com/PyTorchLightning/pytorch-lightning/pull/7563))
[sharded plugin] Fix check for fp16 precision (#7825) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-06-04 06:34:39 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
### Fixed
[sharded plugin] Fix check for fp16 precision (#7825) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-06-04 06:34:39 +00:00
update chlog + legacy chpt (#7954) * update chlog * legacy
2021-06-13 04:12:49 +00:00
- Fixed `ProgressBar` pickling after calling `trainer.predict` ([#7608](https://github.com/PyTorchLightning/pytorch-lightning/pull/7608))
- Fixed broadcasting in multi-node, multi-gpu DDP using torch 1.7 ([#7592](https://github.com/PyTorchLightning/pytorch-lightning/pull/7592))
- Fixed dataloaders are not reset when tuning the model ([#7566](https://github.com/PyTorchLightning/pytorch-lightning/pull/7566))
- Fixed print errors in `ProgressBar` when `trainer.fit` is not called ([#7674](https://github.com/PyTorchLightning/pytorch-lightning/pull/7674))
- Fixed global step update when the epoch is skipped ([#7677](https://github.com/PyTorchLightning/pytorch-lightning/pull/7677))
- Fixed training loop total batch counter when accumulate grad batches was enabled ([#7692](https://github.com/PyTorchLightning/pytorch-lightning/pull/7692))
[bugfix] Resolve LearningRateMonitor + BackboneFinetuning (#7835) * add test + resolve bug * update changelog * resolve bug * resolve bug * Update pytorch_lightning/callbacks/lr_monitor.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/lr_monitor.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update on comments * resolve comments * update * Update tests/callbacks/test_lr_monitor.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/callbacks/lr_monitor.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-06-07 10:17:11 +00:00
chlog for 1.3.2 + legacy test (#7676)
2021-05-24 17:55:02 +00:00
## [1.3.2] - 2021-05-18
Fix DistribType for `ddp_cpu` (spawn) (#7492)
2021-05-14 19:53:26 +00:00
chlog for 1.3.2 + legacy test (#7676)
2021-05-24 17:55:02 +00:00
### Changed
Prune deprecated utils modules (#7503) * argparse_utils * model_utils * warning_utils * xla_device_utils * chlog * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-05-13 07:24:42 +00:00
chlog for 1.3.2 + legacy test (#7676)
2021-05-24 17:55:02 +00:00
- `DataModule`s now avoid duplicate `{setup,teardown,prepare_data}` calls for the same stage ([#7238](https://github.com/PyTorchLightning/pytorch-lightning/pull/7238))
### Fixed
- Fixed parsing of multiple training dataloaders ([#7433](https://github.com/PyTorchLightning/pytorch-lightning/pull/7433))
- Fixed recursive passing of `wrong_type` keyword argument in `pytorch_lightning.utilities.apply_to_collection` ([#7433](https://github.com/PyTorchLightning/pytorch-lightning/pull/7433))
- Fixed setting correct `DistribType` for `ddp_cpu` (spawn) backend ([#7492](https://github.com/PyTorchLightning/pytorch-lightning/pull/7492))
- Fixed incorrect number of calls to LR scheduler when `check_val_every_n_epoch > 1` ([#7032](https://github.com/PyTorchLightning/pytorch-lightning/pull/7032))
Fix progress bar print error when called before training (#7674) * Check progress bar existence before printing * Add tests for predict_progres_bar * Add tests for progress_bar printing without training * Update changelog
2021-05-24 15:33:28 +00:00
Docs: sync chlog 1.3.1 (#7478)
2021-05-11 10:44:22 +00:00
## [1.3.1] - 2021-05-11
### Fixed
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
Docs: sync chlog 1.3.1 (#7478)
2021-05-11 10:44:22 +00:00
- Fixed DeepSpeed with IterableDatasets ([#7362](https://github.com/PyTorchLightning/pytorch-lightning/pull/7362))
Restore `trainer.current_epoch` after tuning (#7434) * Add a test * Save and restore current_epoch * Update CHANGELOG * alphabetical order
2021-05-08 05:15:52 +00:00
- Fixed `Trainer.current_epoch` not getting restored after tuning ([#7434](https://github.com/PyTorchLightning/pytorch-lightning/pull/7434))
Docs: sync chlog 1.3.1 (#7478)
2021-05-11 10:44:22 +00:00
- Fixed local rank displayed in console log ([#7395](https://github.com/PyTorchLightning/pytorch-lightning/pull/7395))
Restore `trainer.current_epoch` after tuning (#7434) * Add a test * Save and restore current_epoch * Update CHANGELOG * alphabetical order
2021-05-08 05:15:52 +00:00
release 1.3.0 (#7404) * v1.3.0 * ci event * chlog * badge * formatting
2021-05-06 19:05:35 +00:00
## [1.3.0] - 2021-05-06
continue towards 1.3 (#6069)
2021-02-19 01:13:54 +00:00
### Added
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Added support for the `EarlyStopping` callback to run at the end of the training epoch ([#6944](https://github.com/PyTorchLightning/pytorch-lightning/pull/6944))
[fix] Add barriers before and after setup hook is run (#7202) * Update data_connector.py * move-barrier * Update trainer.py * Update ddp.py * changelog * Spacing Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-04-27 16:19:43 +00:00
- Added synchronization points before and after `setup` hooks are run ([#7202](https://github.com/PyTorchLightning/pytorch-lightning/pull/7202))
[fix] Add a cluster environment teardown to clean up environment state (#6942) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-15 16:06:54 +00:00
- Added a `teardown` hook to `ClusterEnvironment` ([#6942](https://github.com/PyTorchLightning/pytorch-lightning/pull/6942))
Move metrics_to_scalars to a dedicated utilities file (#7180) * rm-trainer-logging * Update CHANGELOG.md * Update metrics.py * Update logging.py * Update metrics.py
2021-04-24 09:25:33 +00:00
- Added utils for metrics to scalar conversions ([#7180](https://github.com/PyTorchLightning/pytorch-lightning/pull/7180))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Added utils for NaN/Inf detection for gradients and parameters ([#6834](https://github.com/PyTorchLightning/pytorch-lightning/pull/6834))
More explicit exception message when testing with fast_dev_run=True (#6667) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-29 13:29:54 +00:00
- Added more explicit exception message when trying to execute `trainer.test()` or `trainer.validate()` with `fast_dev_run=True` ([#6667](https://github.com/PyTorchLightning/pytorch-lightning/pull/6667))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Added `LightningCLI` class to provide simple reproducibility with minimum boilerplate training CLI (
[#4492](https://github.com/PyTorchLightning/pytorch-lightning/pull/4492),
[#6862](https://github.com/PyTorchLightning/pytorch-lightning/pull/6862),
[#7156](https://github.com/PyTorchLightning/pytorch-lightning/pull/7156),
[#7299](https://github.com/PyTorchLightning/pytorch-lightning/pull/7299))
Add `Trainer(gradient_clip_algorithm='value'|'norm')` (#6123) * add changelog * add clip by value * fix bug in training tricks.rst * fix bug in trainer.rst * Update trainer.rst * Update trainer.rst * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/precision/deepspeed_precision.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/utilities/enums.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * yapf formatting * update training tricks * update based on comment * update based on comment * Update pytorch_lightning/trainer/trainer.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * update based on comment * pep8 * mypy * mypy * Update docs/source/advanced/training_tricks.rst Co-authored-by: thomas chaton <thomas@grid.ai> * Update sharded_native_amp.py * Update test_sharded_parity.py * update test codes * Update test_tpu.py * Update pytorch_lightning/trainer/connectors/training_trick_connector.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update test_trainer.py * Update enums.py * Update enums.py * add super-class initialization to precision plugins. * add clip_grad horovod cpu test * add clip_grad horovod cpu test * use subprocess check_call * change order of horovod tests * set max_epochs 2 in horovod test * remove clip_grad_val test from horovod-cpu * remove "type: ignore" * divide clip grad val test in horovod * update based on comments * add super-class initialization to precision plugins. * bugfix * bugfix * revert some changes * revert some changes * Update tests/models/test_horovod.py * merge master * Delete signature test No point in testing a signature Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-04-06 13:27:37 +00:00
- Added `gradient_clip_algorithm` argument to Trainer for gradient clipping by value ([#6123](https://github.com/PyTorchLightning/pytorch-lightning/pull/6123)).
Prune deprecated metrics for 1.3 (#6161) * prune deprecated metrics for 1.3 * isort / yapf
2021-02-24 11:09:01 +00:00
- Added a way to print to terminal without breaking up the progress bar ([#5470](https://github.com/PyTorchLightning/pytorch-lightning/pull/5470))
[feat] Support iteration-based checkpointing in model checkpoint callback (#6146) * Update model_checkpoint.py * add tests * Update model_checkpoint.py * Update test_model_checkpoint.py * fix tests * every_n_batches * Update test_model_checkpoint.py * defaults * rm tests * Update model_checkpoint.py * Update test_model_checkpoint.py * Prune deprecated metrics for 1.3 (#6161) * prune deprecated metrics for 1.3 * isort / yapf * Update model_checkpoint.py * add tests * defaults * Update CHANGELOG.md * pre-commit * Update model_checkpoint.py * update defaults * Update test_remove_1-5.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * fix tests * Update test_model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update test_model_checkpoint.py * ckpt-callback * Update test_model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * validation-end * Update model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * clarify-names - Make names explicit as to which hooks they apply to - Use step instead of batch for consistency with global step * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * mutual-exclusive Make every_n_train_steps and every_n_val_epochs mutually exclusive * fix-default-0 * Update CHANGELOG.md * formatting * make-private make attributes private to the class * rebase Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-11 22:44:29 +00:00
- Added support to checkpoint after training steps in `ModelCheckpoint` callback ([#6146](https://github.com/PyTorchLightning/pytorch-lightning/pull/6146))
`TrainerState` refactor [5/5] (#7173) * `TrainerState` refactor * flake8 * Update finished check * Test cleanup * Fix tests * Fixes * Reorder * flake8 * Update CHANGELOG * Better docs * Better docs * Remove default * Update tests * Bad merge
2021-05-04 10:50:56 +00:00
- Added `TrainerStatus.{INITIALIZING,RUNNING,FINISHED,INTERRUPTED}` ([#7173](https://github.com/PyTorchLightning/pytorch-lightning/pull/7173))
Add Trainer.validate(…) method to run one validation epoch (#4948) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-11 02:46:37 +00:00
- Added `Trainer.validate()` method to perform one evaluation epoch over the validation set ([#4948](https://github.com/PyTorchLightning/pytorch-lightning/pull/4948))
introduce default cluster environment for lightning-specific ddp (#5915) * handle distributed_sampler_kwargs * move emptying cache to accelertor * fix a few tests * restoring the result from subprocess * fix queue.get() order for results * add missing "block_backward_sync" context manager * add missing "block_backward_sync" context manager * fix sync_batchnorm * fix supported gpu-ids for tuple * fix clip gradients and inf recursion * accelerator selection: added cluster_environment plugin * fix torchelastic test * fix reduce early stopping decision for DDP * fix tests: callbacks, conversion to lightning optimizer * fix lightning optimizer does not pickle * fix setting benchmark and deterministic option * fix slurm amp test * fix prepare_data test and determine node_rank * fix retrieving last path when testing * remove obsolete plugin argument * fix test: test_trainer_config * fix torchscript tests * fix trainer.model access * move properties * fix test_transfer_batch_hook * fix auto_select_gpus * fix omegaconf test * fix test that needs to simulate slurm ddp * add horovod plugin * fix test with named arguments * clean up whitespace * fix datamodules test * remove old accelerators * fix naming * move old plugins * move to plugins * create precision subpackage * create training_type subpackage * fix all new import errors * fix wrong arguments order passed to test * fix LR finder * Added sharded training type and amp plugin * Move clip grad to precision plugin * Added sharded spawn, select accelerators based on distributed_backend + enable custom fp16 plugin automatically * Fix import issue, attempting to fix tests * Fix initial test * Reflect hook logic from master, should wrap model after move to device * Optional state consolidation, since master has optimizers not wrapped * change attribute for instance test * reset optimizers optimizers are not used in main process, so state would be wrong. * legacy * imports in accel * legacy2 * trainer imports * fix import errors after rebase * move hook to new setup location * provide unwrapping logic * fix trainer callback system * added ddp2 implementation * fix imports .legacy * move plugins * restore legacy * drop test.py from root * add tpu accelerator and plugins * fixes * fix lightning optimizer merge * reset bugreportmodel * unwrapping * step routing forward * model access * unwrap * opt * integrate distrib_type * sync changes * sync * fixes * add forgotten generators * add missing logic * update * import * missed imports * import fixes * isort * mv f * changelog * format * move helper to parallel plugin * d * add world size * clean up * duplicate * activate ddp_sharded and tpu * set nvidia flags * remove unused colab var * use_tpu <-> on_tpu attrs * make some ddp_cpu and clusterplugin tests pass * Ref/accelerator connector (#5742) * final cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * connector cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * trainer cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * accelerator cleanup + missing logic in accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add missing changes to callbacks Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * reflect accelerator changes to lightning module Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * clean cluster envs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * cleanup plugins Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add broadcasting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * yapf * remove plugin connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * plugins * manual optimization * update optimizer routing * add rank to torchelastic * fix memory mixed precision * setstate on trainer for pickling in ddp spawn * add predict method * add back commented accelerator code * adapt test for sync_batch_norm to new plugin * fix deprecated tests * fix ddp cpu choice when no num_processes are given * yapf format * skip a memory test that cannot pass anymore * fix pickle error in spawn plugin * x * avoid * x * fix cyclic import in docs build * add support for sharded * update typing * add sharded and sharded_spawn to distributed types * make unwrap model default * refactor LightningShardedDataParallel similar to LightningDistributedDataParallel * update sharded spawn to reflect changes * update sharded to reflect changes * Merge 1.1.5 changes * fix merge * fix merge * yapf isort * fix merge * yapf isort * fix indentation in test * copy over reinit scheduler implementation from dev1.2 * fix apex tracking calls with dev_debugger * reduce diff to dev1.2, clean up * fix trainer config test when gpus>0 and num_processes >0 and ddp_cpu * sort plugin tests legacy/new * fix error handling for amp on cpu * fix merge fix merge fix merge * [Feat] Resolve manual_backward (#5837) * resolve manual_backward * resolve flake8 * update * resolve for ddp_spawn * resolve flake8 * resolve flake8 * resolve flake8 Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * fix tests/accelerator tests on cpu * [BugFix] Resolve manual optimization (#5852) * resolve manual_optimization * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * Remove copy trainer parameters to happen earlier within the loop and add safe guard to get ref model (#5856) * resovle a bug * Accelerator refactor sharded rpc (#5854) * rpc branch * merge * update handling of rpc * make devices etc. Optional in RPC * set devices etc. later if necessary * remove devices from sequential * make devices optional in rpc * fix import * uncomment everything * fix cluster selection Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * resolve bug * fix assert in rpc test * resolve a test * fix docs compilation * accelerator refactor - fix for sharded parity test (#5866) * fix memory issue with ddp_spawn * x x x x x x x x x * x * Remove DDP2 as this does not apply * Add missing pre optimizer hook to ensure lambda closure is called * fix apex docstring * [accelerator][BugFix] Resolve some test for 1 gpu (#5863) * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * update * resolve flake8 * update * update * update * update * update * all_gather * update * make plugins work, add misconfig for RPC * update * update * remove breaking test * resolve some tests * resolve flake8 * revert to ddp_spawn Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> * yapf isort * resolve flake8 * fix apex doctests * fix apex doctests 2 * resolve docs * update drone * clean env * update * update * update * update * merge * Fix RPC related tests, clean out old API, update for new accelerator API [skip ci] (#5881) * Fix RPC related tests, clean out old API, update for new accelerator API * Move tests out of legacy folder, update paths and names * Update test_remove_1-4.py * Expose properties for tpu cores/gpus/num_gpus * Add root GPU property * Move properties to properties.py * move tests that were previously in drone * Fix root GPU property (#5908) * Move root GPU to property, remove horovod set as this is handled in horovod plugin, ensure we mock correctly to set GPU accelerator * Add missing tests back * fix best model path transfer when no checkpoint callback available * Fix setup hook order [wip] (#5858) * Call trainer setup hook before accelerator setup * Add test case * add new test * typo * fix callback order in test Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * rename ddp sequential -> rpc sequential for special test * revert * fix stupid merge problem * abstract the cluster plugins * default plugin * integrate default environment * fix property * adapt tests * adjust test * fix world size access * base cluster env * revert rebase errors * revert rebase errors * missing import * revert unrelated change * remove unused cluster local rank * remove unrelated changes * fix unrelated changes * fix pep8 * remove unused var * reset permissions * ypaf * test default environment * test torchelastic environment * world size as int * tests for slurm environment * changelog * test comments * remove unintended change * keep master port fixed after it is generated * test random master port * yapf * add missing default environment * move helper function * rename default environment * rename * rename * yapf * Update pytorch_lightning/plugins/environments/lightning_environment.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update CHANGELOG.md Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * spawn -> create Co-authored-by: justusschock <justus.schock@posteo.de> Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-05 01:47:29 +00:00
- Added `LightningEnvironment` for Lightning-specific DDP ([#5915](https://github.com/PyTorchLightning/pytorch-lightning/pull/5915))
Support teardown hook on DataModule (#4673) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai>
2021-03-25 12:51:55 +00:00
- Added `teardown()` hook to LightningDataModule ([#4673](https://github.com/PyTorchLightning/pytorch-lightning/pull/4673))
Allow user to disable the automatic formatting of checkpoint file names. (#6277) * cleaning SWA (#6259) * rename * if * test * chlog * Remove opt from manual_backward in docs (#6267) * switch agents pool (#6270) * Allow user to disable the automatic formatting of checkpoint file names. * Added changelog entry. * Made flake8 happy. * Applied review suggestion: quotes for special characters in docstring Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Fixed example in docstring. * Fixed syntax error in docstring. Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com> Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-11 08:40:23 +00:00
- Added `auto_insert_metric_name` parameter to `ModelCheckpoint` ([#6277](https://github.com/PyTorchLightning/pytorch-lightning/pull/6277))
Add possibility for custom naming when using multiple dataloaders (#6274)
2021-03-02 16:03:36 +00:00
- Added arg to `self.log` that enables users to give custom names when dealing with multiple dataloaders ([#6274](https://github.com/PyTorchLightning/pytorch-lightning/pull/6274))
Add teardown method to BaseProfiler. (#6370) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-03-22 11:49:06 +00:00
- Added `teardown` method to `BaseProfiler` to enable subclasses defining post-profiling steps outside of `__del__` ([#6370](https://github.com/PyTorchLightning/pytorch-lightning/pull/6370))
[refactor] Add setup to profilers + _run_stage_setup to trainer 2/5 (#6633) * add setup * update * updates on comment * Minor changes * Extra import * Docs Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-03-22 18:32:31 +00:00
- Added `setup` method to `BaseProfiler` to enable subclasses defining pre-profiling steps for every process ([#6633](https://github.com/PyTorchLightning/pytorch-lightning/pull/6633))
Remove no return warning from val/test step (#6139) * remove warning * auto_opt * chlog * auto_opt * no_warning_call * rm old code * add warning for predict * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-06 17:15:21 +00:00
- Added no return warning to predict ([#6139](https://github.com/PyTorchLightning/pytorch-lightning/pull/6139))
Add trainer.predict config validation (#6543) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-21 21:07:54 +00:00
- Added `Trainer.predict` config validation ([#6543](https://github.com/PyTorchLightning/pytorch-lightning/pull/6543))
Refactor base profilers 3/5 (#6621) Co-authored-by: tchaton <thomas@grid.ai>
2021-03-23 10:07:35 +00:00
- Added `AbstractProfiler` interface ([#6621](https://github.com/PyTorchLightning/pytorch-lightning/pull/6621))
Refactor PyTorch profiler 4/5 (#6349) Co-authored-by: thomas chaton <thomas@grid.ai>
2021-03-23 17:13:29 +00:00
- Added support for including module names for forward in the autograd trace of `PyTorchProfiler` ([#6349](https://github.com/PyTorchLightning/pytorch-lightning/pull/6349))
Add PyTorch 1.8 Profiler 5/5 (#6618) * Refactor profilers * Update PassThrough * WIP - This is broken and will change * Update pytorch_lightning/profiler/pytorch.py Co-authored-by: thomas chaton <thomas@grid.ai> * resolve tests * resolve tests * find output * try something * update * add support for test and predict * update * update * use getattr * test * test * update * tests * update * update * update * update * update * remove file * update * update * update * update * update * test * update# * update * update tests * update * add suport for 1.8 * rename records * add support for 1.8 * update * resolve flake8 * resolve test * Refactor basic profilers * Fixes * Unused import * Introduce setup * Profile on all ranks. Print to stdout on 0 * Introduce dirpath + filename * CHANGELOG * Add tests. Address comments * add `on_run_stage_setup` * add on_run_stage_setup function * update * add test for RegisterRecordFunction * update lightnng flow direction * move variable to private * remove trace * Undo code that should be in 3/4 * Multi-stage multi-rank * 2/5 changes * Pass stage in __del__ * Remove TODOs * Describe on_evaluation_end. Add tests * Typo * Address comments * deepcopy tests * Advanced teardown * Fix teardown test * Fix tests * Minor change * Update CHANGELOG.md * Fix test * Quick fixes * Fix 6522 * resolve ddp tests * resolve tests * resolve some tests * update tests * resolve tests * update * resolve tests * resolve some tests * Missed fixes from 3/5 * Fixes * resolve some tests * resolve test for 1.7.1 * Broken refactor * Missed stage * Minor changes * resolve tests * Update CHANGELOG * resolve bug * remove print * Typo * Cleanup * resolve ddp test * remove barrier * update profiler * update * Smaller model * update * resolve tests * update * Minor changes. CHANGELOG * Minimize diff * update to 1.8.1 * RunIf. Extra code. Check segfault * resolve tests * Typo. Bad merge * Fixing a bad merge * replace for kineto * Update pytorch_lightning/profiler/pytorch.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Update pytorch_lightning/profiler/pytorch.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Minor changes * Bad merge * Use lists for flexibility * Use sets * predict_step * Ananth's suggestion * update * Docs * Update pl_examples/basic_examples/profiler_example.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update example * update example Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-23 20:43:21 +00:00
- Added support for the PyTorch 1.8.1 autograd profiler ([#6618](https://github.com/PyTorchLightning/pytorch-lightning/pull/6618))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Added `outputs` parameter to callback's `on_validation_epoch_end` & `on_test_epoch_end` hooks ([#6120](https://github.com/PyTorchLightning/pytorch-lightning/pull/6120))
[Model Parallel] Add configure sharded model hook (#6679) * Add base hook for model parallel * fix callback signature * Simplify hook * Add hook logic * add tests * add property setter * add logic for being called once * Update changelog * Fix * fix return type * fix lambda callback test * Fix tests * Apply code suggestions * add logic for setup_optimizers_predispatch * add common dummy model * Swap call order * Remove test that isn't needed anymore * Update tests * Add a bit more doc * Few code review fixes * Update pytorch_lightning/accelerators/accelerator.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Change hook name * Fix test * Test setup hook, refactor names * Swap call order of callbacks and model initialization * Change name of context manager Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-29 20:50:51 +00:00
- Added `configure_sharded_model` hook ([#6679](https://github.com/PyTorchLightning/pytorch-lightning/pull/6679))
Feature/double precision (#6595) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-03-24 10:17:58 +00:00
- Added support for `precision=64`, enabling training with double precision ([#6595](https://github.com/PyTorchLightning/pytorch-lightning/pull/6595))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Added support for DDP communication hooks ([#6736](https://github.com/PyTorchLightning/pytorch-lightning/pull/6736))
Add artifcact_location arg to MLFlow logger (#6677) * Add artifcact_location arg to MLFlow logger * Add CHANGELOG URL * Update test
2021-03-25 23:12:03 +00:00
- Added `artifact_location` argument to `MLFlowLogger` which will be passed to the `MlflowClient.create_experiment` call ([#6677](https://github.com/PyTorchLightning/pytorch-lightning/pull/6677))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Added `model` parameter to precision plugins' `clip_gradients` signature (
[#6764](https://github.com/PyTorchLightning/pytorch-lightning/pull/6764),
[#7231](https://github.com/PyTorchLightning/pytorch-lightning/pull/7231))
Disable `lr_scheduler.step()` in manual optimization (#6825) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: thomas chaton <thomas@grid.ai>
2021-04-20 11:00:45 +00:00
- Added `is_last_batch` attribute to `Trainer` ([#6825](https://github.com/PyTorchLightning/pytorch-lightning/pull/6825))
[RFC] Add `self.lr_schedulers()` to LightningModule for manual optimization (#6567) * Add test for lr_schedulers() * Add lr_schedulers to LightningModule * Update test comment * Update CHANGELOG
2021-04-09 09:32:14 +00:00
- Added `LightningModule.lr_schedulers()` for manual optimization ([#6567](https://github.com/PyTorchLightning/pytorch-lightning/pull/6567))
Add MpModelWrapper in TPU Spawn (#7045) Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-04-20 13:05:27 +00:00
- Added `MpModelWrapper` in TPU Spawn ([#7045](https://github.com/PyTorchLightning/pytorch-lightning/pull/7045))
Add Trainer max_time argument + Callback (#6823) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
2021-04-16 11:38:57 +00:00
- Added `max_time` Trainer argument to limit training time ([#6823](https://github.com/PyTorchLightning/pytorch-lightning/pull/6823))
Add `on_predict_{batch,epoch}_{start,end}` and `Callback.on_predict_{start,end}` (#7141) * Update hooks typing and predict hooks * Update CHANGELOG * Progress * Progress * Add back `on_predict_{start,end}` * Typing and fix * Update tests/trainer/logging_/test_logger_connector.py * Update tests/callbacks/test_lambda_function.py
2021-04-22 14:05:28 +00:00
- Added `on_predict_{batch,epoch}_{start,end}` hooks ([#7141](https://github.com/PyTorchLightning/pytorch-lightning/pull/7141))
more early stopping options (convergence and divergence threshold) (#6868) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-19 14:49:52 +00:00
- Added new `EarlyStopping` parameters `stopping_threshold` and `divergence_threshold` ([#6868](https://github.com/PyTorchLightning/pytorch-lightning/pull/6868))
Add `debug` flag to TPU Training Plugins (PT_XLA_DEBUG) (#7219)
2021-04-27 20:34:25 +00:00
- Added `debug` flag to TPU Training Plugins (PT_XLA_DEBUG) ([#7219](https://github.com/PyTorchLightning/pytorch-lightning/pull/7219))
[feat] Add better support for predict + ddp 2/3 (#7215) * wip * update * update * update * update * update * typo * update on comments * update * update * update * update * update changelog * update * Fix merge * Fix merge * move code * resolve test * add extra test * add an extra test * update on comments * add typing * resolve flake8 * Refactor and Docs * Fix tests * Fix tests * Fix tests * Duplicate * Fix tests * resolve bug * update * update on comments * update * update changelog * update * update * remove tpu * resolve flake8 * update on comments * update on comments * update on comment * resolve flake8 * add a cpu test for predict * add None test * update * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * resolve tests Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-27 12:46:45 +00:00
- Added new `UnrepeatedDistributedSampler` and `IndexBatchSamplerWrapper` for tracking distributed predictions ([#7215](https://github.com/PyTorchLightning/pytorch-lightning/pull/7215))
- Added `trainer.predict(return_predictions=None|False|True)` ([#7215](https://github.com/PyTorchLightning/pytorch-lightning/pull/7215))
[feat] Add BasePredictionWriter 3/3 (#7127) * wip * update * update * update * update * update * typo * update on comments * update * update * update * update * update changelog * update * Fix merge * Fix merge * move code * resolve test * add extra test * add an extra test * update on comments * add typing * resolve flake8 * Refactor and Docs * Fix tests * Fix tests * Fix tests * Duplicate * Fix tests * resolve bug * update * update on comments * Update pytorch_lightning/utilities/imports.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/utilities/device_parser.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update * update * update * update on comments * resolve flkae8 * update test * Apply suggestions from code review * update on comments * Update pytorch_lightning/callbacks/prediction_writer.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update pytorch_lightning/callbacks/prediction_writer.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update pytorch_lightning/callbacks/prediction_writer.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * update on comments * update * update on comment * Apply suggestions from code review * update Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-04-27 20:23:55 +00:00
- Added `BasePredictionWriter` callback to implement prediction saving ([#7127](https://github.com/PyTorchLightning/pytorch-lightning/pull/7127))
Attach data refactor and tuner bugs [4/n] (#7258) Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-04-30 13:54:58 +00:00
- Added `trainer.tune(scale_batch_size_kwargs, lr_find_kwargs)` arguments to configure the tuning algorithms ([#7258](https://github.com/PyTorchLightning/pytorch-lightning/pull/7258))
Add a check for TPU Spawn barrrier (#7241)
2021-04-27 19:45:55 +00:00
- Added `tpu_distributed` check for TPU Spawn barrier ([#7241](https://github.com/PyTorchLightning/pytorch-lightning/pull/7241))
Device updates for TPU Pod (#7243)
2021-04-30 17:44:06 +00:00
- Added device updates to TPU Spawn for Pod training ([#7243](https://github.com/PyTorchLightning/pytorch-lightning/pull/7243))
[warning] Add a warning with missing callback with resume_from_checkpoint (#7254) * add a warning * add changelog
2021-04-29 12:39:45 +00:00
- Added warning when missing `Callback` and using `resume_from_checkpoint` ([#7254](https://github.com/PyTorchLightning/pytorch-lightning/pull/7254))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- DeepSpeed single file saving ([#6900](https://github.com/PyTorchLightning/pytorch-lightning/pull/6900))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Added Training type Plugins Registry (
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
[#6982](https://github.com/PyTorchLightning/pytorch-lightning/pull/6982),
[#7063](https://github.com/PyTorchLightning/pytorch-lightning/pull/7063),
[#7214](https://github.com/PyTorchLightning/pytorch-lightning/pull/7214),
[#7224](https://github.com/PyTorchLightning/pytorch-lightning/pull/7224)
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
)
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Add `ignore` param to `save_hyperparameters` ([#6056](https://github.com/PyTorchLightning/pytorch-lightning/pull/6056))
Fix Namespace loading in PyYAML 5.4.x (#6673) * Fix Namespace loading in PyYAML 5.4.x * Remove OmegaConf reference from PyYAML requirements * Max allowed version for pyyaml Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-04 22:56:11 +00:00
continue towards 1.3 (#6069)
2021-02-19 01:13:54 +00:00
### Changed
Deprecate`truncated_bptt_steps` flag on Trainer in favor of same setting on the LightningModule (#7323) * deprecate-tbptt-trainer * Update CHANGELOG.md * Update lightning.py * test * Update lightning.py * Update training_loop.py * Update training_loop.py * Update lightning.py * Update training_loop.py * Update training_loop.py * update docs * Update accelerator.py * Update accelerator.py * more docs * tweaks * chlog * comments Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-05-05 10:21:00 +00:00
- Changed `LightningModule.truncated_bptt_steps` to be property ([#7323](https://github.com/PyTorchLightning/pytorch-lightning/pull/7323))
[2/2] Remove training loop force calling early stopping callback (#7069) * rebase * doc * Update training_loop.py * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md
2021-04-29 16:14:53 +00:00
- Changed `EarlyStopping` callback from by default running `EarlyStopping.on_validation_end` if only training is run. Set `check_on_train_epoch_end` to run the callback at the end of the train epoch instead of at the end of the validation epoch ([#7069](https://github.com/PyTorchLightning/pytorch-lightning/pull/7069))
cleaning SWA (#6259) * rename * if * test * chlog
2021-03-01 18:10:27 +00:00
- Renamed `pytorch_lightning.callbacks.swa` to `pytorch_lightning.callbacks.stochastic_weight_avg` ([#6259](https://github.com/PyTorchLightning/pytorch-lightning/pull/6259))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Refactor `RunningStage` and `TrainerState` usage (
[#4945](https://github.com/PyTorchLightning/pytorch-lightning/pull/4945),
[#7173](https://github.com/PyTorchLightning/pytorch-lightning/pull/7173))
* Added `RunningStage.SANITY_CHECKING`
* Added `TrainerFn.{FITTING,VALIDATING,TESTING,PREDICTING,TUNING}`
* Changed `trainer.evaluating` to return `True` if validating or testing
- Changed `setup()` and `teardown()` stage argument to take any of `{fit,validate,test,predict}` ([#6386](https://github.com/PyTorchLightning/pytorch-lightning/pull/6386))
- Changed profilers to save separate report files per state and rank ([#6621](https://github.com/PyTorchLightning/pytorch-lightning/pull/6621))
- The trainer no longer tries to save a checkpoint on exception or run callback's `on_train_end` functions ([#6864](https://github.com/PyTorchLightning/pytorch-lightning/pull/6864))
- Changed `PyTorchProfiler` to use `torch.autograd.profiler.record_function` to record functions ([#6349](https://github.com/PyTorchLightning/pytorch-lightning/pull/6349))
- Disabled `lr_scheduler.step()` in manual optimization ([#6825](https://github.com/PyTorchLightning/pytorch-lightning/pull/6825))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Changed warnings and recommendations for dataloaders in `ddp_spawn` ([#6762](https://github.com/PyTorchLightning/pytorch-lightning/pull/6762))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- `pl.seed_everything` will now also set the seed on the `DistributedSampler` ([#7024](https://github.com/PyTorchLightning/pytorch-lightning/pull/7024))
- Changed default setting for communication of multi-node training using `DDPShardedPlugin` ([#6937](https://github.com/PyTorchLightning/pytorch-lightning/pull/6937))
- `trainer.tune()` now returns the tuning result ([#7258](https://github.com/PyTorchLightning/pytorch-lightning/pull/7258))
- `LightningModule.from_datasets()` now accepts `IterableDataset` instances as training datasets. ([#7503](https://github.com/PyTorchLightning/pytorch-lightning/pull/7503))
- Changed `resume_from_checkpoint` warning to an error when the checkpoint file does not exist ([#7075](https://github.com/PyTorchLightning/pytorch-lightning/pull/7075))
- Automatically set `sync_batchnorm` for `training_type_plugin` ([#6536](https://github.com/PyTorchLightning/pytorch-lightning/pull/6536))
- Allowed training type plugin to delay optimizer creation ([#6331](https://github.com/PyTorchLightning/pytorch-lightning/pull/6331))
- Removed ModelSummary validation from train loop on_trainer_init ([#6610](https://github.com/PyTorchLightning/pytorch-lightning/pull/6610))
- Moved `save_function` to accelerator ([#6689](https://github.com/PyTorchLightning/pytorch-lightning/pull/6689))
- Updated DeepSpeed ZeRO ([#6546](https://github.com/PyTorchLightning/pytorch-lightning/pull/6546),
[#6752](https://github.com/PyTorchLightning/pytorch-lightning/pull/6752),
[#6142](https://github.com/PyTorchLightning/pytorch-lightning/pull/6142),
[#6321](https://github.com/PyTorchLightning/pytorch-lightning/pull/6321))
- Improved verbose logging for `EarlyStopping` callback ([#6811](https://github.com/PyTorchLightning/pytorch-lightning/pull/6811))
- Run ddp_spawn dataloader checks on Windows ([#6930](https://github.com/PyTorchLightning/pytorch-lightning/pull/6930))
- Updated mlflow with using `resolve_tags` ([#6746](https://github.com/PyTorchLightning/pytorch-lightning/pull/6746))
- Moved `save_hyperparameters` to its own function ([#7119](https://github.com/PyTorchLightning/pytorch-lightning/pull/7119))
- Replaced `_DataModuleWrapper` with `__new__` ([#7289](https://github.com/PyTorchLightning/pytorch-lightning/pull/7289))
- Reset `current_fx` properties on lightning module in teardown ([#7247](https://github.com/PyTorchLightning/pytorch-lightning/pull/7247))
- Auto-set `DataLoader.worker_init_fn` with `seed_everything` ([#6960](https://github.com/PyTorchLightning/pytorch-lightning/pull/6960))
- Remove `model.trainer` call inside of dataloading mixin ([#7317](https://github.com/PyTorchLightning/pytorch-lightning/pull/7317))
- Split profilers module ([#6261](https://github.com/PyTorchLightning/pytorch-lightning/pull/6261))
- Ensure accelerator is valid if running interactively ([#5970](https://github.com/PyTorchLightning/pytorch-lightning/pull/5970))
- Disabled batch transfer in DP mode ([#6098](https://github.com/PyTorchLightning/pytorch-lightning/pull/6098))
update test for resume_from_checkpoint on missing file (#7255)
2021-05-04 09:16:34 +00:00
continue towards 1.3 (#6069)
2021-02-19 01:13:54 +00:00
### Deprecated
[1/2] Deprecate `outputs` in `on_train_epoch_end` hooks (#7339) * Remove outputs from on_train_epoch_end * iterate * Update callback_hook.py * update * Update training_loop.py * Update test_training_loop.py * early stop? * fix * update tests * Update test_hooks.py * Update pytorch_lightning/trainer/callback_hook.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update pytorch_lightning/trainer/training_loop.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update trainer.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-05-05 15:18:16 +00:00
- Deprecated `outputs` in both `LightningModule.on_train_epoch_end` and `Callback.on_train_epoch_end` hooks ([#7339](https://github.com/PyTorchLightning/pytorch-lightning/pull/7339))
Deprecate`truncated_bptt_steps` flag on Trainer in favor of same setting on the LightningModule (#7323) * deprecate-tbptt-trainer * Update CHANGELOG.md * Update lightning.py * test * Update lightning.py * Update training_loop.py * Update training_loop.py * Update lightning.py * Update training_loop.py * Update training_loop.py * update docs * Update accelerator.py * Update accelerator.py * more docs * tweaks * chlog * comments Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-05-05 10:21:00 +00:00
- Deprecated `Trainer.truncated_bptt_steps` in favor of `LightningModule.truncated_bptt_steps` ([#7323](https://github.com/PyTorchLightning/pytorch-lightning/pull/7323))
[2/2] Remove outputs from evaluation epoch end hooks (#7338) * Remove outputs from on_train_epoch_end * iterate * Update callback_hook.py * update * early stop? * fix * Update pytorch_lightning/trainer/training_loop.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update trainer.py * update * Update training_loop.py * early stop? * fix * Remove outputs from evaluation epoch end hooks * update * Update test_remove_1-5.py * fix lints * Update base.py * rm-outputs * Update evaluation_loop.py * try-save-more-memory * Update trainer.py * Update trainer.py * cache-at-start * Update evaluation_loop.py * Update training_loop.py * Update training_loop.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk>
2021-05-05 19:50:58 +00:00
- Deprecated `outputs` in both `LightningModule.on_train_epoch_end` and `Callback.on_train_epoch_end` hooks ([#7339](https://github.com/PyTorchLightning/pytorch-lightning/pull/7339))
Move grad_norm to a dedicated utilities file (#7292) * rm-grad-norm-mixin * Update grads.py * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update docstrings * Update __init__.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-04-30 16:19:22 +00:00
- Deprecated `LightningModule.grad_norm` in favor of `pytorch_lightning.utilities.grads.grad_norm` ([#7292](https://github.com/PyTorchLightning/pytorch-lightning/pull/7292))
Deprecate save_function from model checkpoint callback (#7201) * Update model_checkpoint.py * Update CHANGELOG.md * fix-tests * deprecate not remove * Update model_checkpoint.py * Update test_remove_1-5.py
2021-04-26 16:55:26 +00:00
- Deprecated the `save_function` property from the `ModelCheckpoint` callback ([#7201](https://github.com/PyTorchLightning/pytorch-lightning/pull/7201))
[1/2] Deprecate `outputs` in `on_train_epoch_end` hooks (#7339) * Remove outputs from on_train_epoch_end * iterate * Update callback_hook.py * update * Update training_loop.py * Update test_training_loop.py * early stop? * fix * update tests * Update test_hooks.py * Update pytorch_lightning/trainer/callback_hook.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update pytorch_lightning/trainer/training_loop.py Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Update trainer.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-05-05 15:18:16 +00:00
- Deprecated `LightningModule.write_predictions` and `LightningModule.write_predictions_dict` ([#7066](https://github.com/PyTorchLightning/pytorch-lightning/pull/7066))
Move metrics_to_scalars to a dedicated utilities file (#7180) * rm-trainer-logging * Update CHANGELOG.md * Update metrics.py * Update logging.py * Update metrics.py
2021-04-24 09:25:33 +00:00
- Deprecated `TrainerLoggingMixin` in favor of a separate utilities module for metric handling ([#7180](https://github.com/PyTorchLightning/pytorch-lightning/pull/7180))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Deprecated `TrainerTrainingTricksMixin` in favor of a separate utilities module for NaN/Inf detection for gradients and parameters ([#6834](https://github.com/PyTorchLightning/pytorch-lightning/pull/6834))
[feat] Support iteration-based checkpointing in model checkpoint callback (#6146) * Update model_checkpoint.py * add tests * Update model_checkpoint.py * Update test_model_checkpoint.py * fix tests * every_n_batches * Update test_model_checkpoint.py * defaults * rm tests * Update model_checkpoint.py * Update test_model_checkpoint.py * Prune deprecated metrics for 1.3 (#6161) * prune deprecated metrics for 1.3 * isort / yapf * Update model_checkpoint.py * add tests * defaults * Update CHANGELOG.md * pre-commit * Update model_checkpoint.py * update defaults * Update test_remove_1-5.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * fix tests * Update test_model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update test_model_checkpoint.py * ckpt-callback * Update test_model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * validation-end * Update model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * Update test_model_checkpoint.py * clarify-names - Make names explicit as to which hooks they apply to - Use step instead of batch for consistency with global step * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * Update model_checkpoint.py * mutual-exclusive Make every_n_train_steps and every_n_val_epochs mutually exclusive * fix-default-0 * Update CHANGELOG.md * formatting * make-private make attributes private to the class * rebase Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-11 22:44:29 +00:00
- `period` has been deprecated in favor of `every_n_val_epochs` in the `ModelCheckpoint` callback ([#6146](https://github.com/PyTorchLightning/pytorch-lightning/pull/6146))
Refactor RunningStage usage in advance of implementing Trainer.validate() (#4945) * Update code Co-authored-by: EliaCereda * More property updates * Move properties. Introduce trainer._fitting * Use trainer.fitting * Fix reset dataloaders * Unused code * RunningStage.SANITY_CHECKING * Use setters * Fix bugs * Fix bugs * TrainerState.{FITTING,VALIDATING,TESTING,PREDICTING,TUNING} * Fix bugs * Fix bugs * Fix tests * Update CHANGELOG. Add deprecation warning. Fix tests * Unused imports * Optional trainer * More deprecation. More refactoring * Correct version * Use properties * Address comments * flake8 * Missed renamings * Typo * is -> == It is recommended to use for Enums since they are singletons, however, since the LightningEnum subclasses str, it's not a good idea in case a user sets the state/stage with a str * Also for tests * Typo * Address @tchaton's comments * PEP8 * Correct property * Update CHANGELOG * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Remove called sanity check Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-06 12:40:19 +00:00
- Deprecated `trainer.running_sanity_check` in favor of `trainer.sanity_checking` ([#4945](https://github.com/PyTorchLightning/pytorch-lightning/pull/4945))
Refactor base profilers 3/5 (#6621) Co-authored-by: tchaton <thomas@grid.ai>
2021-03-23 10:07:35 +00:00
- Deprecated `Profiler(output_filename)` in favor of `dirpath` and `filename` ([#6621](https://github.com/PyTorchLightning/pytorch-lightning/pull/6621))
Refactor PyTorch profiler 4/5 (#6349) Co-authored-by: thomas chaton <thomas@grid.ai>
2021-03-23 17:13:29 +00:00
- Deprecated `PytorchProfiler(profiled_functions)` in favor of `record_functions` ([#6349](https://github.com/PyTorchLightning/pytorch-lightning/pull/6349))
Deprecate `@auto_move_data` in favor of `trainer.predict` (#6993) * Deprecated `@auto_move_data` in favor of `trainer.predict` * Update CHANGELOG
2021-04-19 13:53:21 +00:00
- Deprecated `@auto_move_data` in favor of `trainer.predict` ([#6993](https://github.com/PyTorchLightning/pytorch-lightning/pull/6993))
[bugfix] Add reloading support using BaseFinetuning (#7253) * update * wip * udpate * update * update * update * resolve bug * update on comments * update on comments * update * update * formatting * add comments * update on comments * update * Update pytorch_lightning/callbacks/base.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update * update * Typing and minor changes * Refactor * Fix deprecated test * Broken commit * Fix broken commit * flake8 * Update CHANGELOG * update on comments Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-04-30 15:14:43 +00:00
- Deprecated `Callback.on_load_checkpoint(checkpoint)` in favor of `Callback.on_load_checkpoint(trainer, pl_module, checkpoint)` ([#7253](https://github.com/PyTorchLightning/pytorch-lightning/pull/7253))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Deprecated metrics in favor of `torchmetrics` (
[#6505](https://github.com/PyTorchLightning/pytorch-lightning/pull/6505),
Prune metrics base classes 2/n (#6530) * base class * extensions * chlog * _stable_1d_sort * _check_same_shape * _input_format_classification_one_hot * utils * to_onehot * select_topk * to_categorical * get_num_classes * reduce * class_reduce * tests
2021-03-15 19:28:18 +00:00
[#6530](https://github.com/PyTorchLightning/pytorch-lightning/pull/6530),
Prune metrics: others 11/DoNe (#6659) * classif * grad_img * nlp * ssl * format
2021-03-24 08:16:28 +00:00
[#6540](https://github.com/PyTorchLightning/pytorch-lightning/pull/6540),
Prune metric: helpers and inputs 3/n (#6547) * _basic_input_validation * _check_shape_and_type_consistency * _check_num_classes_binary * _check_num_classes_mc * _check_num_classes_ml * _check_top_k * _check_classification_inputs * _input_format_classification * _reduce_stat_scores * DataType * rest * flake8 * chlog
2021-03-16 12:54:06 +00:00
[#6547](https://github.com/PyTorchLightning/pytorch-lightning/pull/6547),
prune metric: accuracy 4/n (#6515) * prune accuracy * chlog * flake8 * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * wrap * test * test * fix Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2021-03-17 11:37:10 +00:00
[#6515](https://github.com/PyTorchLightning/pytorch-lightning/pull/6515),
Prune metrics: AUC & AUROC (#6572) * class: AUC AUROC * func: auc auroc * format * tests
2021-03-18 09:38:56 +00:00
[#6572](https://github.com/PyTorchLightning/pytorch-lightning/pull/6572),
Prune metrics: precision & recall 6/n (#6573) * avg precision * precision * recall * curve * tests * chlog * isort * fix
2021-03-18 17:21:59 +00:00
[#6573](https://github.com/PyTorchLightning/pytorch-lightning/pull/6573),
Prune metrics: other classification 7/n (#6584) * confusion_matrix * iou * f_beta * hamming_distance * stat_scores * tests * flake8 * chlog
2021-03-19 21:48:52 +00:00
[#6584](https://github.com/PyTorchLightning/pytorch-lightning/pull/6584),
Prune metrics: regression 8/n (#6636) * explained_variance * tests * mean_absolute_error * mean_squared_error * mean_relative_error * mean_squared_log_error * chlog
2021-03-23 08:35:51 +00:00
[#6636](https://github.com/PyTorchLightning/pytorch-lightning/pull/6636),
Prune metyrics: regression 9/n (#6637) * psnr * r2score * ssim * chlog
2021-03-23 10:01:25 +00:00
[#6637](https://github.com/PyTorchLightning/pytorch-lightning/pull/6637),
Prune metrics: others 11/DoNe (#6659) * classif * grad_img * nlp * ssl * format
2021-03-24 08:16:28 +00:00
[#6649](https://github.com/PyTorchLightning/pytorch-lightning/pull/6649),
[#6659](https://github.com/PyTorchLightning/pytorch-lightning/pull/6659),
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
[#7131](https://github.com/PyTorchLightning/pytorch-lightning/pull/7131),
Prune metrics base classes 2/n (#6530) * base class * extensions * chlog * _stable_1d_sort * _check_same_shape * _input_format_classification_one_hot * utils * to_onehot * select_topk * to_categorical * get_num_classes * reduce * class_reduce * tests
2021-03-15 19:28:18 +00:00
)
Deprecate `LightningModule.datamodule` reference in favor of the trainer one (#6929) (#7168) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-04 00:01:41 +00:00
- Deprecated the `LightningModule.datamodule` getter and setter methods; access them through `Trainer.datamodule` instead ([#7168](https://github.com/PyTorchLightning/pytorch-lightning/pull/7168))
make gpus=str in Trainer consistent with command line parsing of string (#6388) * string gpu input * update docs * deprecation warning * Revert "update docs" This reverts commit c5f38934133812280ae98f6489c008a39796dd4d. * deprecation * add changelog * update parser * update warning * implement v1.5 behavior ahead of time * formatting * set accelerator in test to avoid different warning * add warning * remove todo warn * Update pytorch_lightning/utilities/device_parser.py Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> * resolve flake8 Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: tchaton <thomas@grid.ai>
2021-05-04 09:56:27 +00:00
- Deprecated the use of `Trainer(gpus="i")` (string) for selecting the i-th GPU; from v1.5 this will set the number of GPUs instead of the index ([#6388](https://github.com/PyTorchLightning/pytorch-lightning/pull/6388))
continue towards 1.3 (#6069)
2021-02-19 01:13:54 +00:00
### Removed
Remove exp_save_path on the LightningModule (#7266) * deprecate-exp-save-path * Update lightning.py * Update CHANGELOG.md * remove-not-deprecate
2021-04-29 21:44:04 +00:00
- Removed the `exp_save_path` property from the `LightningModule` ([#7266](https://github.com/PyTorchLightning/pytorch-lightning/pull/7266))
[2/2] Remove training loop force calling early stopping callback (#7069) * rebase * doc * Update training_loop.py * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md
2021-04-29 16:14:53 +00:00
- Removed training loop explicitly calling `EarlyStopping.on_validation_end` if no validation is run ([#7069](https://github.com/PyTorchLightning/pytorch-lightning/pull/7069))
Enforce Lightning module as source of truth for automatic optimization (#7130) * make lightning module source of truth for automatic optimization * Update configuration_validator.py * Update model_connector.py * rm-references * Update CHANGELOG.md * Update CHANGELOG.md Co-authored-by: jirka <jirka.borovec@seznam.cz>
2021-04-26 05:36:26 +00:00
- Removed `automatic_optimization` as a property from the training loop in favor of `LightningModule.automatic_optimization` ([#7130](https://github.com/PyTorchLightning/pytorch-lightning/pull/7130))
Remove evaluation loop legacy dict returns for `*_epoch_end` hooks (#6973) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-04-13 11:37:54 +00:00
- Removed evaluation loop legacy returns for `*_epoch_end` hooks ([#6973](https://github.com/PyTorchLightning/pytorch-lightning/pull/6973))
prune deprecated profiler as bool (#6164) * prune profiler * chlog
2021-02-24 09:08:21 +00:00
- Removed support for passing a bool value to `profiler` argument of Trainer ([#6164](https://github.com/PyTorchLightning/pytorch-lightning/pull/6164))
Remove no return warning from val/test step (#6139) * remove warning * auto_opt * chlog * auto_opt * no_warning_call * rm old code * add warning for predict * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-06 17:15:21 +00:00
- Removed no return warning from val/test step ([#6139](https://github.com/PyTorchLightning/pytorch-lightning/pull/6139))
Prune deprecated Trainer(checkpoint_callback=ModelCheckpoint()) (#6166)
2021-02-25 20:42:23 +00:00
- Removed passing a `ModelCheckpoint` instance to `Trainer(checkpoint_callback)` ([#6166](https://github.com/PyTorchLightning/pytorch-lightning/pull/6166))
prune deprecated Trainer arg `enable_pl_optimizer` (#6163) * prune enable_pl_optimizer * prune automatic_optimization
2021-02-24 10:01:24 +00:00
- Removed deprecated Trainer argument `enable_pl_optimizer` and `automatic_optimization` ([#6163](https://github.com/PyTorchLightning/pytorch-lightning/pull/6163))
Prune deprecated metrics for 1.3 (#6161) * prune deprecated metrics for 1.3 * isort / yapf
2021-02-24 11:09:01 +00:00
- Removed deprecated metrics ([#6161](https://github.com/PyTorchLightning/pytorch-lightning/pull/6161))
* from `pytorch_lightning.metrics.functional.classification` removed `to_onehot`, `to_categorical`, `get_num_classes`, `roc`, `multiclass_roc`, `average_precision`, `precision_recall_curve`, `multiclass_precision_recall_curve`
Fix for multiple callbacks (#6197) * Fix for multiple callbacks * Add CHANGELOG.md * Remove old params * Skip tests on windows using ddp * Change name of the variable to not clash with should stop, which is separate * Apply suggestions from code review * Fix params Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-02-25 15:44:55 +00:00
* from `pytorch_lightning.metrics.functional.reduction` removed `reduce`, `class_reduce`
Prune deprecated checkpoint arguments (#6162) * prune prefix * prune mode=auto * chlog
2021-02-24 11:58:53 +00:00
- Removed deprecated `ModelCheckpoint` arguments `prefix`, `mode="auto"` ([#6162](https://github.com/PyTorchLightning/pytorch-lightning/pull/6162))
Prune deprecated EarlyStopping(mode='auto') (#6167) Co-authored-by: Roger Shieh <sh.rog@protonmail.ch> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-24 13:26:33 +00:00
- Removed `mode='auto'` from `EarlyStopping` ([#6167](https://github.com/PyTorchLightning/pytorch-lightning/pull/6167))
Pass `current_epoch`/`global_step` as monitor candidates [1/2] (#7344) * Pass `current_epoch`/`global_step` as monitor candidates * Formatting * Fix deprecated test * Update CHANGELOG
2021-05-04 20:05:40 +00:00
- Removed `epoch` and `step` arguments from `ModelCheckpoint.format_checkpoint_name()`, these are now included in the `metrics` argument ([#7344](https://github.com/PyTorchLightning/pytorch-lightning/pull/7344))
Remove legacy `Result` parameters (#6016)
2021-03-28 09:55:08 +00:00
- Removed legacy references for magic keys in the `Result` object ([#6016](https://github.com/PyTorchLightning/pytorch-lightning/pull/6016))
Prune deprecated hparams setter (#6207)
2021-02-27 12:24:50 +00:00
- Removed deprecated `LightningModule` `hparams` setter ([#6207](https://github.com/PyTorchLightning/pytorch-lightning/pull/6207))
Remove legacy support for the magic `log`/`progress_bar` keys in dict returns (#6734)
2021-03-30 22:28:04 +00:00
- Removed legacy code to log or include metrics in the progress bar by returning them in a dict with the `"log"/"progress_bar"` magic keys. Use `self.log` instead ([#6734](https://github.com/PyTorchLightning/pytorch-lightning/pull/6734))
Remove `trainer.fit` return value [2/n] (#7237) * `_fit_impl` refactor and types * Fix return * Remove return docstring * Fixes * Fixes * Remove `trainer.fit` return value * Update CHANGELOG * flake8 * Undo results change * Fix test * Revert changes for a separate PR * flake8
2021-04-28 18:11:32 +00:00
- Removed `trainer.fit()` return value of `1`. It has no return now ([#7237](https://github.com/PyTorchLightning/pytorch-lightning/pull/7237))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Removed `logger_connector` legacy code ([#6733](https://github.com/PyTorchLightning/pytorch-lightning/pull/6733))
- Removed unused mixin attributes ([#6487](https://github.com/PyTorchLightning/pytorch-lightning/pull/6487))
Remove optimizer_idx arg in manual optimization (#6093) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai>
2021-03-07 07:48:50 +00:00
continue towards 1.3 (#6069)
2021-02-19 01:13:54 +00:00
### Fixed
[bugfix] Fix dataloading for iterable datasets and limit_train_batches (#7306) * bugfix-dataloading * rm-logs * Update CHANGELOG.md * Update test_dataloaders.py * Update test_dataloaders.py * Update training_loop.py * Update test_dataloaders.py * Update CHANGELOG.md * Update CHANGELOG.md * Update test_dataloaders.py * Update training_loop.py * Update training_loop.py * comments * address comments * more tests * Update progress.py * Update test_dataloaders.py * Update test_dataloaders.py * Update training_loop.py * Update training_loop.py * test ckpt fix? * update again
2021-05-03 18:50:26 +00:00
- Fixed NaN errors in progress bars when training with iterable datasets with no length defined ([#7306](https://github.com/PyTorchLightning/pytorch-lightning/pull/7306))
[fix] Attach train+val dataloaders to trainer in trainer loop (#7207) * Update training_loop.py * Update test_dataloaders.py * changelog * delay reload * go back * comments * Update training_loop.py * Update test_dataloaders.py * Update tests/trainer/test_dataloaders.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-04-30 16:01:31 +00:00
- Fixed attaching train and validation dataloaders when `reload_dataloaders_every_epoch=True` and `num_sanity_val_steps=0` ([#7207](https://github.com/PyTorchLightning/pytorch-lightning/pull/7207))
[fix] Add barrier to accelerator's teardown (#6814)
2021-04-26 09:23:29 +00:00
- Added a barrier in the accelerator `teardown` to synchronize processes before execution finishes ([#6814](https://github.com/PyTorchLightning/pytorch-lightning/pull/6814))
[fix] Fix multi-node DDP launch by using local rank instead of global rank for main process (#7061) * Update ddp.py * Update CHANGELOG.md
2021-04-16 20:18:54 +00:00
- Fixed multi-node DDP sub-process launch by using `local_rank` instead of `global_rank` for main process assertion ([#7061](https://github.com/PyTorchLightning/pytorch-lightning/pull/7061))
[fix] Add a cluster environment teardown to clean up environment state (#6942) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-15 16:06:54 +00:00
- Fixed incorrect removal of `WORLD_SIZE` environment variable in DDP training when launching with torch distributed/torchelastic ([#6942](https://github.com/PyTorchLightning/pytorch-lightning/pull/6942))
fix amp/apex misconfiguration error for cpu (#6107) * fix weird test * fix apex plugin test * fix raise * cpu test * fix type * add changelog
2021-02-22 00:02:31 +00:00
- Made the `Plugin.reduce` method more consistent across all Plugins to reflect a mean-reduction by default ([#6011](https://github.com/PyTorchLightning/pytorch-lightning/pull/6011))
- Move lightning module to correct device type when using LightningDistributedWrapper ([#6070](https://github.com/PyTorchLightning/pytorch-lightning/pull/6070))
Avoid printing ModelCheckpoint log with monitor=None and verbose=True (#6109)
2021-02-22 08:51:13 +00:00
- Do not print top-k verbose log with `ModelCheckpoint(monitor=None)` ([#6109](https://github.com/PyTorchLightning/pytorch-lightning/pull/6109))
Fix ModelCheckpoint(monitor=None, save_last=True) not saving checkpoints (#6136) Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-03-07 23:59:14 +00:00
- Fixed `ModelCheckpoint(save_top_k=0, save_last=True)` not saving the `last` checkpoint ([#6136](https://github.com/PyTorchLightning/pytorch-lightning/pull/6136))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Fixed `.teardown(stage='fit')` and `.on_fit_{start,end}()` getting called during `trainer.test` ([#6386](https://github.com/PyTorchLightning/pytorch-lightning/pull/6386))
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
- Fixed LightningModule `all_gather` on cpu tensors ([#6416](https://github.com/PyTorchLightning/pytorch-lightning/pull/6416))
update chlog v1.2.5 (#6742) * update chlog v1.2.5 * legacy
2021-03-30 10:45:07 +00:00
- Fixed torch distributed not available in setup hook for DDP ([#6506](https://github.com/PyTorchLightning/pytorch-lightning/pull/6506))
Attach data refactor and tuner bugs [4/n] (#7258) Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-04-30 13:54:58 +00:00
- Fixed `trainer.tuner.{lr_find,scale_batch_size}` not setting the `Trainer` state properly ([#7258](https://github.com/PyTorchLightning/pytorch-lightning/pull/7258))
Update LR schedulers only when their corresponding Optimizer is being… (#4868) * Update LR schedulers only when their corresponding Optimizer is being used. In the case when optimizer frequencies are specified, the LR scheduler corresponding to a particular optimizer is updated only when that optimizer is being used in the training loop or epoch. * pep8speak fixes * Fix failing tests * Add docs * PR Feedback * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * formatting fix * PR Feedback - part 2 * More PR feedback * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Add typing imports * Stronger tests and fixes related to that * Add more tests plus PR feedback * Make optimizer_freq_cumsum a cached property @cached_property is only available after Python 3.8 so had to do it manually. * Fix tests * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Avoid mutable defaults * Parametrize lr scheduling tests * PR feedback * Apply suggestions from code review * spell * Apply suggestions from code review * flake8 Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-05-04 09:37:40 +00:00
- Fixed bug where the learning rate schedulers did not follow the optimizer frequencies ([#4868](https://github.com/PyTorchLightning/pytorch-lightning/pull/4868))
[fix] Add a cluster environment teardown to clean up environment state (#6942) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-15 16:06:54 +00:00
- Fixed pickle error checker to now check for `pickle.PickleError` to catch all pickle errors ([#6917](https://github.com/PyTorchLightning/pytorch-lightning/pull/6917))
Fix inconsistent outputs in `on_*_end` and `*_end` (#6969) Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-04-13 14:16:21 +00:00
- Fixed a bug where the outputs object passed to `LightningModule.training_epoch_end` was different from the object passed to the `on_train_end_epoch` hook ([#6969](https://github.com/PyTorchLightning/pytorch-lightning/pull/6969))
- Fixed a bug where the outputs passed to `train_batch_end` would be lists even when using a single optimizer and no truncated backprop through time steps ([#6969](https://github.com/PyTorchLightning/pytorch-lightning/pull/6969))
Train End Error Handling Fix (#6864) Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk>
2021-04-14 18:35:42 +00:00
- Fixed bug for trainer error handling which would cause hang for distributed training ([#6864](https://github.com/PyTorchLightning/pytorch-lightning/pull/6864))
fix self.device access in DataParallel (#6414)
2021-04-13 00:03:24 +00:00
- Fixed `self.device` not returning the correct device in replicas of data-parallel ([#6414](https://github.com/PyTorchLightning/pytorch-lightning/pull/6414))
Fix `lr_finder` suggesting too high learning rates (#7076) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-04-23 10:59:40 +00:00
- Fixed `lr_find` trying beyond `num_training` steps and suggesting a too high learning rate ([#7076](https://github.com/PyTorchLightning/pytorch-lightning/pull/7076))
fix logger experiment version in multiple run DDP (#7077) * fix * changelog
2021-04-19 17:12:05 +00:00
- Fixed logger creating incorrect version folder in DDP with repeated `Trainer.fit` calls ([#7077](https://github.com/PyTorchLightning/pytorch-lightning/pull/7077))
Correctly reset metric objects in self.log (#7055) * reset * fix tests * fix tests * Apply suggestions from code review Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * move logic * chglog * pep8 * Add test * Improve test Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-04-19 13:48:48 +00:00
- Fixed metric objects passed directly to `self.log` not being reset correctly ([#7055](https://github.com/PyTorchLightning/pytorch-lightning/pull/7055))
[bugfix] Add support for CombinedLoader in validation with ddp (#7102) * add test * add changelog * resolve flake8 * remove print
2021-04-20 08:22:02 +00:00
- Fixed `CombinedLoader` in distributed settings for validation / testing ([#7102](https://github.com/PyTorchLightning/pytorch-lightning/pull/7102))
Fixed setting of _save_dir when run initiated externally (#7106) Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-04-23 01:14:46 +00:00
- Fixed the save_dir in `WandbLogger` when the run was initiated externally ([#7106](https://github.com/PyTorchLightning/pytorch-lightning/pull/7106))
Fixed `num_sanity_val_steps` affecting reproducibility of training data shuffling (#7014) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: thomas chaton <thomas@grid.ai> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-04-27 09:51:39 +00:00
- Fixed `num_sanity_val_steps` affecting reproducibility of training data shuffling ([#7014](https://github.com/PyTorchLightning/pytorch-lightning/pull/7014))
Properly set `LightningModule.device` after model replacement (#7188) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-23 14:36:52 +00:00
- Fixed resetting device after `fitting/evaluating/predicting` ([#7188](https://github.com/PyTorchLightning/pytorch-lightning/pull/7188))
Code cleaning in preparation for #7258 [3/n] (#7262)
2021-04-29 12:40:51 +00:00
- Fixed bug where `trainer.tuner.scale_batch_size(max_trials=0)` would not return the correct batch size result ([#7262](https://github.com/PyTorchLightning/pytorch-lightning/pull/7262))
[bugfix] Metric not logged properly in manual optimization (#7228) * resolve bug * update changelog * typo * Update tests/trainer/optimization/test_manual_optimization.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-04-27 13:16:51 +00:00
- Fixed metrics not being properly logged with `precision=16` and `manual_optimization` ([#7228](https://github.com/PyTorchLightning/pytorch-lightning/pull/7228))
[bugfix] Add reloading support using BaseFinetuning (#7253) * update * wip * udpate * update * update * update * resolve bug * update on comments * update on comments * update * update * formatting * add comments * update on comments * update * Update pytorch_lightning/callbacks/base.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update * update * Typing and minor changes * Refactor * Fix deprecated test * Broken commit * Fix broken commit * flake8 * Update CHANGELOG * update on comments Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-04-30 15:14:43 +00:00
- Fixed `BaseFinetuning` properly reloading `optimizer_states` when using `resume_from_checkpoint` ([#6891](https://github.com/PyTorchLightning/pytorch-lightning/pull/6891))
[bug/feat] Support parameters_to_ignore in DDP (#7239) * update * update * update * update on comments * update
2021-04-27 17:49:32 +00:00
- Fixed `parameters_to_ignore` not properly set to DDPWrapper ([#7239](https://github.com/PyTorchLightning/pytorch-lightning/pull/7239))
fix fast_dev_run parsing from cli (#7240)
2021-04-29 19:46:20 +00:00
- Fixed parsing of `fast_dev_run=True` with the built-in `ArgumentParser` ([#7240](https://github.com/PyTorchLightning/pytorch-lightning/pull/7240))
fix case where an IterableDataset doesn't produce a batch for an epoch (#7294) * wip * fix * add test * refactor + test * rm * formatting * update changelog * doc * docstring * remove unused import * Update CHANGELOG.md Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-04-30 12:45:55 +00:00
- Fixed handling an `IterableDataset` that fails to produce a batch at the beginning of an epoch ([#7294](https://github.com/PyTorchLightning/pytorch-lightning/pull/7294))
fix save_hyperparameters(container) if container is empty (#7268) * fix * add tests * changelog * fix test
2021-04-30 12:38:42 +00:00
- Fixed `LightningModule.save_hyperparameters()` when attempting to save an empty container ([#7268](https://github.com/PyTorchLightning/pytorch-lightning/pull/7268))
[bugfix] Apex never instantiated. (#7274) * update * update * update apex * update * update * update * remove test.py * update * update * update on comments * update changelog * update * update * typo
2021-04-30 17:16:28 +00:00
- Fixed `apex` not properly instantiated when running with `ddp` ([#7274](https://github.com/PyTorchLightning/pytorch-lightning/pull/7274))
Fix Adagrad optimizer not working with DDP/GPU (#7277) Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: thomas chaton <thomas@grid.ai>
2021-05-02 22:27:17 +00:00
- Fixed optimizer `state` not moved to `GPU` ([#7277](https://github.com/PyTorchLightning/pytorch-lightning/pull/7277))
fix(wandb): allow custom init args (#6989) * feat(wandb): allow custom init args * style: pep8 * fix: get dict args * refactor: simplify init args * test: test init args * style: pep8 * docs: update CHANGELOG * test: check default resume value * fix: default value of anonymous * fix: respect order of parameters * feat: use look-up table for anonymous * yapf formatting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-04 09:45:36 +00:00
- Fixed custom init args for `WandbLogger` ([#6989](https://github.com/PyTorchLightning/pytorch-lightning/pull/6989))
Fix support for dataloader with None batches (#7342) * Fix Dataloader None batch * Fix Dataloader None batch * Update CHANGELOG.md * Fix breaking test * Address comments
2021-05-04 12:24:03 +00:00
- Fixed a bug where an error would be raised if the train dataloader sometimes produced None for a batch ([#7342](https://github.com/PyTorchLightning/pytorch-lightning/pull/7342))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Fixed examples (
[#6600](https://github.com/PyTorchLightning/pytorch-lightning/pull/6600),
[#6638](https://github.com/PyTorchLightning/pytorch-lightning/pull/6638),
[#7096](https://github.com/PyTorchLightning/pytorch-lightning/pull/7096),
[#7246](https://github.com/PyTorchLightning/pytorch-lightning/pull/7246),
[#6357](https://github.com/PyTorchLightning/pytorch-lightning/pull/6357),
[#6476](https://github.com/PyTorchLightning/pytorch-lightning/pull/6476),
[#6294](https://github.com/PyTorchLightning/pytorch-lightning/pull/6294),
[#6373](https://github.com/PyTorchLightning/pytorch-lightning/pull/6373),
update versions (#7409) * update versions * chlog * win * str
2021-05-06 20:35:39 +00:00
[#6088](https://github.com/PyTorchLightning/pytorch-lightning/pull/6088),
[#7398](https://github.com/PyTorchLightning/pytorch-lightning/pull/7398)
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
)
- Resolved schedule step bug for PyTorch Profiler ([#6674](https://github.com/PyTorchLightning/pytorch-lightning/pull/6674),
[#6681](https://github.com/PyTorchLightning/pytorch-lightning/pull/6681))
- Updated logic for checking TPUs availability ([#6767](https://github.com/PyTorchLightning/pytorch-lightning/pull/6767))
- Resolve TPU miss rendezvous ([#6781](https://github.com/PyTorchLightning/pytorch-lightning/pull/6781))
- Fixed auto-scaling mode when calling tune method on trainer ([#7321](https://github.com/PyTorchLightning/pytorch-lightning/pull/7321))
- Fixed finetuning complex models correctly unfreezes ([#6880](https://github.com/PyTorchLightning/pytorch-lightning/pull/6880))
- Ensure we set the eval/train flag correctly on accelerator model ([#6877](https://github.com/PyTorchLightning/pytorch-lightning/pull/6877))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Set better defaults for `rank_zero_only.rank` when training is launched with SLURM and torchelastic ([#6802](https://github.com/PyTorchLightning/pytorch-lightning/pull/6802))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Fixed matching the number of outputs of backward with forward for AllGatherGrad ([#6625](https://github.com/PyTorchLightning/pytorch-lightning/pull/6625))
- Fixed the `gradient_clip_algorithm` has no effect ([#6928](https://github.com/PyTorchLightning/pytorch-lightning/pull/6928))
- Fixed CUDA OOM detection and handling ([#6934](https://github.com/PyTorchLightning/pytorch-lightning/pull/6934))
- Fixed `unfreeze_and_add_param_group` expects `modules` rather than `module` ([#6822](https://github.com/PyTorchLightning/pytorch-lightning/pull/6822))
- Fixed DPP + SyncBN when move on device ([#6838](https://github.com/PyTorchLightning/pytorch-lightning/pull/6838))
- Fixed missing arguments in `lr_find` call ([#6784](https://github.com/PyTorchLightning/pytorch-lightning/pull/6784))
- Fixed `set_default_tensor_type` to `torch.DoubleTensor` with precision=64 ([#7108](https://github.com/PyTorchLightning/pytorch-lightning/pull/7108))
- Fixed `NeptuneLogger.log_text(step=None)` ([#7194](https://github.com/PyTorchLightning/pytorch-lightning/pull/7194))
- Fixed importing torchtext batch ([#6365](https://github.com/PyTorchLightning/pytorch-lightning/pull/6365),
[#6323](https://github.com/PyTorchLightning/pytorch-lightning/pull/6323),
[#6211](https://github.com/PyTorchLightning/pytorch-lightning/pull/6211))
Fix support for dataloader with None batches (#7342) * Fix Dataloader None batch * Fix Dataloader None batch * Update CHANGELOG.md * Fix breaking test * Address comments
2021-05-04 12:24:03 +00:00
Enables reload of dataloaders on every n epochs from every epoch (#5043) * edit arg to reload_dataloaders_every_n_epoch * init reload_dataloaders_every_n_epoch * edit logic to reload dl * update arg to test datamodule * update arg test dataloader * edit reload dl logic in eval loop * fix var name in reset_train_val_dataloaders * fix error, use current_epoch attribute * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * edit every_n_epoch to every_n_epochs * assert reload_dataloaders_every_n_epochs positive * assert reload_dataloaders_every_n_epochs positive * add trainer property should reload dl * update should reload dl in train loop * condition on should reload dl in eval loop * pep8 * fix update should reload dl in train loop * add test case * replace assertion with misconfig exception * remove unused variable * remove unnecessary checks * replace to BoringModel * remove unrequired comment * deprecate _every_epoch * add deprecated argument to trainer * test case for deprecated arg * remove unrequired assertion in train loop Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify misconfig exception for int Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * conv bool to int of depreciated _every_epoch Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update description of deprecated param Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update deprecation warning Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * modify argument to int only * fix deprecated test function name Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * merge tests for reload dls * add propery should reload dl * removed and added to trainer property * use property in train loop * remove deprecated test * add deprecated test to new file * test case for exception * update test datamodule every_n_epochs * update trainer docs * update hooks with every_n_epochs * edit format if statement Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * typo in exception * pytest check only misconfig exception * remove unnecessary code in test * remove unnecessary code in deprec test * added match in test * typo in comment * revert to prev, keep only req in context manager * Apply suggestions from code review * docs * rebase * Apply suggestions from code review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix import: model_helpers instead of model_utils * fix, add reload_dataloaders_every_n_epochs argument to data connector * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add required imports * move deprecated log * add missing import rank_zero_warn * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update varname in should_reload_dl_epoch suggestion from code review * Fix CHANGELOG. Update deprecation versions * Minor change * change property name, mark protected * update property name * update property name * Remove deprecated *_loop.py files * Rename test func * Update CHANGELOG.md * use rank_zero_deprecation * update deprecation message in trainer api docs * test deprecation with real arg name in message * fix typo in trainer docs Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Akihiro Nitta <nitta@akihironitta.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-07-07 11:10:08 +00:00
Update changelog for recent releases (#7387)
2021-05-05 19:25:56 +00:00
## [1.2.9] - 2021-04-20
### Fixed
- Fixed the order to call for world ranks & the `root_device` property in `TPUSpawnPlugin` ([#7074](https://github.com/PyTorchLightning/pytorch-lightning/pull/7074))
- Fixed multi-gpu join for Horovod ([#6954](https://github.com/PyTorchLightning/pytorch-lightning/pull/6954))
- Fixed parsing for pre-release package versions ([#6999](https://github.com/PyTorchLightning/pytorch-lightning/pull/6999))
## [1.2.8] - 2021-04-14
### Added
- Added TPUSpawn + IterableDataset error message ([#6875](https://github.com/PyTorchLightning/pytorch-lightning/pull/6875))
### Fixed
- Fixed process rank not being available right away after `Trainer` instantiation ([#6941](https://github.com/PyTorchLightning/pytorch-lightning/pull/6941))
- Fixed `sync_dist` for tpus ([#6950](https://github.com/PyTorchLightning/pytorch-lightning/pull/6950))
- Fixed `AttributeError` for `require_backward_grad_sync` when running manual optimization with sharded plugin ([#6915](https://github.com/PyTorchLightning/pytorch-lightning/pull/6915))
- Fixed `--gpus` default for parser returned by `Trainer.add_argparse_args` ([#6898](https://github.com/PyTorchLightning/pytorch-lightning/pull/6898))
- Fixed TPU Spawn all gather ([#6896](https://github.com/PyTorchLightning/pytorch-lightning/pull/6896))
- Fixed `EarlyStopping` logic when `min_epochs` or `min_steps` requirement is not met ([#6705](https://github.com/PyTorchLightning/pytorch-lightning/pull/6705))
- Fixed csv extension check ([#6436](https://github.com/PyTorchLightning/pytorch-lightning/pull/6436))
- Fixed checkpoint issue when using Horovod distributed backend ([#6958](https://github.com/PyTorchLightning/pytorch-lightning/pull/6958))
- Fixed tensorboard exception raising ([#6901](https://github.com/PyTorchLightning/pytorch-lightning/pull/6901))
- Fixed setting the eval/train flag correctly on accelerator model ([#6983](https://github.com/PyTorchLightning/pytorch-lightning/pull/6983))
- Fixed DDP_SPAWN compatibility with bug_report_model.py ([#6892](https://github.com/PyTorchLightning/pytorch-lightning/pull/6892))
- Fixed bug where `BaseFinetuning.flatten_modules()` was duplicating leaf node parameters ([#6879](https://github.com/PyTorchLightning/pytorch-lightning/pull/6879))
- Set better defaults for `rank_zero_only.rank` when training is launched with SLURM and torchelastic:
* Support SLURM and torchelastic global rank environment variables ([#5715](https://github.com/PyTorchLightning/pytorch-lightning/pull/5715))
* Remove hardcoding of local rank in accelerator connector ([#6878](https://github.com/PyTorchLightning/pytorch-lightning/pull/6878))
fix(wandb): allow custom init args (#6989) * feat(wandb): allow custom init args * style: pep8 * fix: get dict args * refactor: simplify init args * test: test init args * style: pep8 * docs: update CHANGELOG * test: check default resume value * fix: default value of anonymous * fix: respect order of parameters * feat: use look-up table for anonymous * yapf formatting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-05-04 09:45:36 +00:00
Update Changelog for v1.2.7 (#6874) * Update Changelog for v1.2.7 * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-04-07 22:58:41 +00:00
## [1.2.7] - 2021-04-06
Fix EarlyStopping logic when min_epochs not met (#6705) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-06 11:41:07 +00:00
Update Changelog for v1.2.7 (#6874) * Update Changelog for v1.2.7 * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-04-07 22:58:41 +00:00
### Fixed
Fix EarlyStopping logic when min_epochs not met (#6705) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-06 11:41:07 +00:00
Update Changelog for v1.2.7 (#6874) * Update Changelog for v1.2.7 * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-04-07 22:58:41 +00:00
- Fixed resolve a bug with omegaconf and xm.save ([#6741](https://github.com/PyTorchLightning/pytorch-lightning/pull/6741))
- Fixed an issue with IterableDataset when __len__ is not defined ([#6828](https://github.com/PyTorchLightning/pytorch-lightning/pull/6828))
- Sanitize None params during pruning ([#6836](https://github.com/PyTorchLightning/pytorch-lightning/pull/6836))
- Enforce an epoch scheduler interval when using SWA ([#6588](https://github.com/PyTorchLightning/pytorch-lightning/pull/6588))
- Fixed TPU Colab hang issue, post training ([#6816](https://github.com/PyTorchLightning/pytorch-lightning/pull/6816))
Fix EarlyStopping logic when min_epochs not met (#6705) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-06 11:41:07 +00:00
- Fixed a bug where `TensorBoardLogger` would give a warning and not log correctly to a symbolic link `save_dir` ([#6730](https://github.com/PyTorchLightning/pytorch-lightning/pull/6730))
Bugfix for predict progressbar (#6884) * gating * tests * pep8 * changelog
2021-04-14 08:50:36 +00:00
- Fixed bug where `predict` could not be used when `progress_bar_refresh_rate=0` ([#6884](https://github.com/PyTorchLightning/pytorch-lightning/pull/6884))
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
## [1.2.6] - 2021-03-30
Add teardown method to BaseProfiler. (#6370) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-03-22 11:49:06 +00:00
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
### Changed
Add teardown method to BaseProfiler. (#6370) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2021-03-22 11:49:06 +00:00
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
- Changed the behavior of `on_epoch_start` to run at the beginning of validation & test epoch ([#6498](https://github.com/PyTorchLightning/pytorch-lightning/pull/6498))
[Fix] Move init dist connection into the setup function (#6506) * Move connection setup into the setup function. Call setup hook after we set up the accelerator * Added CHANGELOG.md * fix setup order in callback test * fix input arguments in test * Mock distributed function, remove protection to turn into training type hook * Remove import * Add missing mock, ensure custom plugin does not create children process * Skip test on windows * Update deepspeed to init connection in setup * Do not initialize distributed module * Move DeepSpeed tests to special tests since dist communication is being set up * Special the test to see if this fixes CI * Delete accelerator connector test to see if its causing build to fail * Delete deepspeed test * Revert "Delete accelerator connector test to see if its causing build to fail" This reverts commit edde60b8 * Revert "Delete deepspeed test" This reverts commit 9d317429 * Reverse hook * Reverse setup hooks to debug again * Add todo so i know where i left off * For single device move in pre_dispatch after setup function * Add additional model to device hook if any additional parameters have been set * See if we can enable deepspeed tests * Revert "See if we can enable deepspeed tests" This reverts commit b5450def * See if this hook approach works * Introduce new granular hooks * Remove import, fix tpu spawn by moving the function to setup * Added missing special test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-18 21:33:39 +00:00
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
### Removed
[Fix] Move init dist connection into the setup function (#6506) * Move connection setup into the setup function. Call setup hook after we set up the accelerator * Added CHANGELOG.md * fix setup order in callback test * fix input arguments in test * Mock distributed function, remove protection to turn into training type hook * Remove import * Add missing mock, ensure custom plugin does not create children process * Skip test on windows * Update deepspeed to init connection in setup * Do not initialize distributed module * Move DeepSpeed tests to special tests since dist communication is being set up * Special the test to see if this fixes CI * Delete accelerator connector test to see if its causing build to fail * Delete deepspeed test * Revert "Delete accelerator connector test to see if its causing build to fail" This reverts commit edde60b8 * Revert "Delete deepspeed test" This reverts commit 9d317429 * Reverse hook * Reverse setup hooks to debug again * Add todo so i know where i left off * For single device move in pre_dispatch after setup function * Add additional model to device hook if any additional parameters have been set * See if we can enable deepspeed tests * Revert "See if we can enable deepspeed tests" This reverts commit b5450def * See if this hook approach works * Introduce new granular hooks * Remove import, fix tpu spawn by moving the function to setup * Added missing special test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-18 21:33:39 +00:00
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
- Removed legacy code to include `step` dictionary returns in `callback_metrics`. Use `self.log_dict` instead. ([#6682](https://github.com/PyTorchLightning/pytorch-lightning/pull/6682))
fix comparing versions (#6434) * fix comparing versions * chlog * . * ... * datasets
2021-03-23 07:51:45 +00:00
Add 1.2.6 section to CHANGELOG (#6732) * Add 1.2.6 sections to CHANGELOG * Update CHANGELOG.md * legacy Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-31 01:25:22 +00:00
### Fixed
- Fixed `DummyLogger.log_hyperparams` raising a `TypeError` when running with `fast_dev_run=True` ([#6398](https://github.com/PyTorchLightning/pytorch-lightning/pull/6398))
- Fixed error on TPUs when there was no `ModelCheckpoint` ([#6654](https://github.com/PyTorchLightning/pytorch-lightning/pull/6654))
- Fixed `trainer.test` freeze on TPUs ([#6654](https://github.com/PyTorchLightning/pytorch-lightning/pull/6654))
- Fixed a bug where gradients were disabled after calling `Trainer.predict` ([#6657](https://github.com/PyTorchLightning/pytorch-lightning/pull/6657))
- Fixed bug where no TPUs were detected in a TPU pod env ([#6719](https://github.com/PyTorchLightning/pytorch-lightning/pull/6719))
fix comparing versions (#6434) * fix comparing versions * chlog * . * ... * datasets
2021-03-23 07:51:45 +00:00
Fix checkpoint callback & Trainer.test(_) issue for TPUs (#6654) * Fix checkpoint callback issue for TPUs * update changelog * add barrier * apply code suggestions * update trainer test * remove spaces * fix tpu tests * Apply suggestions from code review * add comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-25 10:37:37 +00:00
update chlog v1.2.5 (#6742) * update chlog v1.2.5 * legacy
2021-03-30 10:45:07 +00:00
## [1.2.5] - 2021-03-23
Fix checkpoint callback & Trainer.test(_) issue for TPUs (#6654) * Fix checkpoint callback issue for TPUs * update changelog * add barrier * apply code suggestions * update trainer test * remove spaces * fix tpu tests * Apply suggestions from code review * add comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-25 10:37:37 +00:00
update chlog v1.2.5 (#6742) * update chlog v1.2.5 * legacy
2021-03-30 10:45:07 +00:00
### Changed
Fix checkpoint callback & Trainer.test(_) issue for TPUs (#6654) * Fix checkpoint callback issue for TPUs * update changelog * add barrier * apply code suggestions * update trainer test * remove spaces * fix tpu tests * Apply suggestions from code review * add comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-25 10:37:37 +00:00
update chlog v1.2.5 (#6742) * update chlog v1.2.5 * legacy
2021-03-30 10:45:07 +00:00
- Update Gradient Clipping for the TPU Accelerator ([#6576](https://github.com/PyTorchLightning/pytorch-lightning/pull/6576))
- Refactored setup for typing friendly ([#6590](https://github.com/PyTorchLightning/pytorch-lightning/pull/6590))
Fix checkpoint callback & Trainer.test(_) issue for TPUs (#6654) * Fix checkpoint callback issue for TPUs * update changelog * add barrier * apply code suggestions * update trainer test * remove spaces * fix tpu tests * Apply suggestions from code review * add comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-25 10:37:37 +00:00
update chlog v1.2.5 (#6742) * update chlog v1.2.5 * legacy
2021-03-30 10:45:07 +00:00
### Fixed
- Fixed a bug where `all_gather` would not work correctly with `tpu_cores=8` ([#6587](https://github.com/PyTorchLightning/pytorch-lightning/pull/6587))
- Fixed comparing required versions ([#6434](https://github.com/PyTorchLightning/pytorch-lightning/pull/6434))
- Fixed duplicate logs appearing in console when using the python logging module ([#6275](https://github.com/PyTorchLightning/pytorch-lightning/pull/6275))
- Added Autocast in validation, test and predict modes for Native AMP ([#6565](https://github.com/PyTorchLightning/pytorch-lightning/pull/6565))
[bugfix] Add support for omegaconf and tpu (#6741) * fix_hydra * update changelog Co-authored-by: Your Name <you@example.com>
2021-03-30 15:21:25 +00:00
Fix support for symlink save_dir in TensorBoardLogger (#6730) * Add test for symlink support and initial fix * Respond to comment and add docstring * Update CHANGELOG.md * Simplify * Update pytorch_lightning/utilities/cloud_io.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Make `LightningLocalFileSystem` protected Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-04-06 09:36:25 +00:00
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
## [1.2.4] - 2021-03-16
[bug] Update broadcast + reduce decision ModelCheckpoint] (#6410) * resolve bug * update * update changelog * update PR * Update pytorch_lightning/trainer/connectors/logger_connector/epoch_result_store.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * add todo * resolve issues * resolve flake8 * update * add coverage for reduce * wip * restore back to brodbact * remove test.py * resolve flake8 * update * check world size * resolve test * update * use pytorch version when defined * update on comments * update on comments * flake8 * resolve bugs * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update * update * update * update * remove test * update * resolve flake8 * update * update * update * proxy * update * update * resolve typo * prune * update parallel * update Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-14 17:14:27 +00:00
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
### Changed
[bug] Update broadcast + reduce decision ModelCheckpoint] (#6410) * resolve bug * update * update changelog * update PR * Update pytorch_lightning/trainer/connectors/logger_connector/epoch_result_store.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * add todo * resolve issues * resolve flake8 * update * add coverage for reduce * wip * restore back to brodbact * remove test.py * resolve flake8 * update * check world size * resolve test * update * use pytorch version when defined * update on comments * update on comments * flake8 * resolve bugs * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update * update * update * update * remove test * update * resolve flake8 * update * update * update * proxy * update * update * resolve typo * prune * update parallel * update Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-14 17:14:27 +00:00
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
- Changed the default of `find_unused_parameters` back to `True` in DDP and DDP Spawn ([#6438](https://github.com/PyTorchLightning/pytorch-lightning/pull/6438))
[bug] Fix Pytorch profiler with emit_nvtx (#6260) * resolve bug * update changelog * Update tests/trainer/test_trainer.py * Update pytorch_lightning/profiler/profilers.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * resolve comments * resolve flake8 Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-05 20:12:03 +00:00
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
### Fixed
[bug] Fix Pytorch profiler with emit_nvtx (#6260) * resolve bug * update changelog * Update tests/trainer/test_trainer.py * Update pytorch_lightning/profiler/profilers.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * resolve comments * resolve flake8 Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-05 20:12:03 +00:00
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
- Expose DeepSpeed loss parameters to allow users to fix loss instability ([#6115](https://github.com/PyTorchLightning/pytorch-lightning/pull/6115))
- Fixed DP reduction with collection ([#6324](https://github.com/PyTorchLightning/pytorch-lightning/pull/6324))
- Fixed an issue where the tuner would not tune the learning rate if also tuning the batch size ([#4688](https://github.com/PyTorchLightning/pytorch-lightning/pull/4688))
- Fixed broadcast to use PyTorch `broadcast_object_list` and add `reduce_decision` ([#6410](https://github.com/PyTorchLightning/pytorch-lightning/pull/6410))
- Fixed logger creating directory structure too early in DDP ([#6380](https://github.com/PyTorchLightning/pytorch-lightning/pull/6380))
[Fix] Ensure we set the default device before initializing deepspeed (#6460) * Ensure we set the default device before initializing deepspeed * Add CHANGELOG.md * Update pytorch_lightning/plugins/training_type/deepspeed.py Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com>
2021-03-10 16:29:37 +00:00
- Fixed DeepSpeed additional memory use on rank 0 when default device not set early enough ([#6460](https://github.com/PyTorchLightning/pytorch-lightning/pull/6460))
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
- Fixed an issue with `Tuner.scale_batch_size` not finding the batch size attribute in the datamodule ([#5968](https://github.com/PyTorchLightning/pytorch-lightning/pull/5968))
Handle torch.jit scripted modules in layer summary (#6511)
2021-03-15 02:17:42 +00:00
- Fixed an exception in the layer summary when the model contains torch.jit scripted submodules ([#6511](https://github.com/PyTorchLightning/pytorch-lightning/pull/6511))
Update Changelog for v1.2.4 (#6581) * Update changelog for v1.2.4 * lagacy v1.2.4 * prune duplicates from changelog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-18 20:13:54 +00:00
- Fixed when Train loop config was run during `Trainer.predict` ([#6541](https://github.com/PyTorchLightning/pytorch-lightning/pull/6541))
Handle torch.jit scripted modules in layer summary (#6511)
2021-03-15 02:17:42 +00:00
[changelog] Update Changelog on release v1.2.3 (#6444) * update changelog * legacy 1.2.3 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-09 23:17:36 +00:00
## [1.2.3] - 2021-03-09
fixed bug where tuner would not tune lr if also tuning batch_size (#4688) * fixed bug where tuner would not tune lr if also tuning batch_size * added a '+1' to computing the smoothed loss. This maintains the behavior for the smoothed loss as before the bug fix * pep8 fix * add changelog Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-09 00:30:06 +00:00
[changelog] Update Changelog on release v1.2.3 (#6444) * update changelog * legacy 1.2.3 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-09 23:17:36 +00:00
### Fixed
fixed bug where tuner would not tune lr if also tuning batch_size (#4688) * fixed bug where tuner would not tune lr if also tuning batch_size * added a '+1' to computing the smoothed loss. This maintains the behavior for the smoothed loss as before the bug fix * pep8 fix * add changelog Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-03-09 00:30:06 +00:00
[changelog] Update Changelog on release v1.2.3 (#6444) * update changelog * legacy 1.2.3 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-09 23:17:36 +00:00
- Fixed `ModelPruning(make_pruning_permanent=True)` pruning buffers getting removed when saved during training ([#6073](https://github.com/PyTorchLightning/pytorch-lightning/pull/6073))
- Fixed when `_stable_1d_sort` to work when `n >= N` ([#6177](https://github.com/PyTorchLightning/pytorch-lightning/pull/6177))
- Fixed `AttributeError` when `logger=None` on TPU ([#6221](https://github.com/PyTorchLightning/pytorch-lightning/pull/6221))
- Fixed PyTorch Profiler with `emit_nvtx` ([#6260](https://github.com/PyTorchLightning/pytorch-lightning/pull/6260))
- Fixed `trainer.test` from `best_path` hangs after calling `trainer.fit` ([#6272](https://github.com/PyTorchLightning/pytorch-lightning/pull/6272))
- Fixed `SingleTPU` calling `all_gather` ([#6296](https://github.com/PyTorchLightning/pytorch-lightning/pull/6296))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Ensure we check DeepSpeed/Sharded in multi-node DDP ([#6297](https://github.com/PyTorchLightning/pytorch-lightning/pull/6297)
[changelog] Update Changelog on release v1.2.3 (#6444) * update changelog * legacy 1.2.3 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-09 23:17:36 +00:00
- Check `LightningOptimizer` doesn't delete optimizer hooks ([#6305](https://github.com/PyTorchLightning/pytorch-lightning/pull/6305)
- Resolve memory leak for evaluation ([#6326](https://github.com/PyTorchLightning/pytorch-lightning/pull/6326)
- Ensure that clip gradients is only called if the value is greater than 0 ([#6330](https://github.com/PyTorchLightning/pytorch-lightning/pull/6330)
- Fixed `Trainer` not resetting `lightning_optimizers` when calling `Trainer.fit()` multiple times ([#6372](https://github.com/PyTorchLightning/pytorch-lightning/pull/6372))
fix logger creating directory structure too early in DDP (#6380) * fix * add simple test * fix imports * add changelog * tighter test with on_fit_start hook closer to the dispatch call * move class inside test f unction * add a comment
2021-03-09 09:49:59 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
## [1.2.2] - 2021-03-02
fix duplicate console logging bug v2 (#6275) Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-02 09:47:55 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
### Added
fix duplicate console logging bug v2 (#6275) Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-03-02 09:47:55 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
- Added `checkpoint` parameter to callback's `on_save_checkpoint` hook ([#6072](https://github.com/PyTorchLightning/pytorch-lightning/pull/6072))
[bugfix] TPU + all_gather + SingleTPU shouldn't call xm.all_gather (#6296) * resolve an issue with TPU * update * add changelog
2021-03-03 13:54:20 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
### Changed
[bugfix] TPU + all_gather + SingleTPU shouldn't call xm.all_gather (#6296) * resolve an issue with TPU * update * add changelog
2021-03-03 13:54:20 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
- Changed the order of `backward`, `step`, `zero_grad` to `zero_grad`, `backward`, `step` ([#6147](https://github.com/PyTorchLightning/pytorch-lightning/pull/6147))
- Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale ([#6262](https://github.com/PyTorchLightning/pytorch-lightning/pull/6262))
[fix] Ensure we check deepspeed/sharded in multinode DDP (#6297) * Ensure we check deepspeed/sharded in multinode * Add CHANGELOG.md * Add CHANGELOG.md * Drop mock, use actual multi-gpu node
2021-03-02 13:36:18 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
### Fixed
[fix] Ensure we check deepspeed/sharded in multinode DDP (#6297) * Ensure we check deepspeed/sharded in multinode * Add CHANGELOG.md * Add CHANGELOG.md * Drop mock, use actual multi-gpu node
2021-03-02 13:36:18 +00:00
Update changelog for v1.2.2 (#6325) * update changelog for v1.2.2 * ckpr 1.2.2 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-03-05 15:57:50 +00:00
- Fixed epoch level schedulers not being called when `val_check_interval < 1.0` ([#6075](https://github.com/PyTorchLightning/pytorch-lightning/pull/6075))
- Fixed multiple early stopping callbacks ([#6197](https://github.com/PyTorchLightning/pytorch-lightning/pull/6197))
- Fixed incorrect usage of `detach()`, `cpu()`, `to()` ([#6216](https://github.com/PyTorchLightning/pytorch-lightning/pull/6216))
- Fixed LBFGS optimizer support which didn't converge in automatic optimization ([#6147](https://github.com/PyTorchLightning/pytorch-lightning/pull/6147))
- Prevent `WandbLogger` from dropping values ([#5931](https://github.com/PyTorchLightning/pytorch-lightning/pull/5931))
- Fixed error thrown when using valid distributed mode in multi node ([#6297](https://github.com/PyTorchLightning/pytorch-lightning/pull/6297)
[bugfix] Perform reduction for dict in training_step and DP (#6324) * fix * update * update * add changelog * Update CHANGELOG.md Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update tests/accelerators/test_dp.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update changelog Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-03-04 23:10:52 +00:00
Update CHANGELOG (#6156)
2021-02-23 23:44:39 +00:00
## [1.2.1] - 2021-02-23
### Fixed
- Fixed incorrect yield logic for the amp autocast context manager ([#6080](https://github.com/PyTorchLightning/pytorch-lightning/pull/6080))
- Fixed priority of plugin/accelerator when setting distributed mode ([#6089](https://github.com/PyTorchLightning/pytorch-lightning/pull/6089))
- Fixed error message for AMP + CPU incompatibility ([#6107](https://github.com/PyTorchLightning/pytorch-lightning/pull/6107))
Disable batch transfer in DP mode (#6098) * add exceptions and test * hook * fix * clean up * clean up * regex * regex * docs * rev * comment and docs * chlog * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Apply suggestions from code review Co-authored-by: chaton <thomas@grid.ai> * Monkey-patch device count * docs * pep * api_change Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai>
2021-03-11 15:51:10 +00:00
- Disabled batch transfer in DP mode ([#6093](https://github.com/PyTorchLightning/pytorch-lightning/pull/6093))
v1.2.0 (#6065) * v1.2.0 * docs
2021-02-18 20:14:39 +00:00
## [1.2.0] - 2021-02-18
Added CHANGELOG section (#5065)
2020-12-11 09:37:32 +00:00
### Added
fix amp/apex misconfiguration error for cpu (#6107) * fix weird test * fix apex plugin test * fix raise * cpu test * fix type * add changelog
2021-02-22 00:02:31 +00:00
- Added `DataType`, `AverageMethod` and `MDMCAverageMethod` enum in metrics ([#5657](https://github.com/PyTorchLightning/pytorch-lightning/pull/5689))
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
- Added support for summarized model total params size in megabytes ([#5590](https://github.com/PyTorchLightning/pytorch-lightning/pull/5590))
- Added support for multiple train loaders ([#1959](https://github.com/PyTorchLightning/pytorch-lightning/pull/1959))
- Added `Accuracy` metric now generalizes to Top-k accuracy for (multi-dimensional) multi-class inputs using the `top_k` parameter ([#4838](https://github.com/PyTorchLightning/pytorch-lightning/pull/4838))
- Added `Accuracy` metric now enables the computation of subset accuracy for multi-label or multi-dimensional multi-class inputs with the `subset_accuracy` parameter ([#4838](https://github.com/PyTorchLightning/pytorch-lightning/pull/4838))
- Added `HammingDistance` metric to compute the hamming distance (loss) ([#4838](https://github.com/PyTorchLightning/pytorch-lightning/pull/4838))
Implement partial auroc metric (#3790) * Implement partial auroc metric * Add pycodestyle changes * Added tests for max_fpr * changelog * version for tests * fix imports * fix tests * fix tests * Added more thresholds in (0,1] to test max_fpr * Removed deprecated 'reorder' param from auroc * changelog * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * remove old structure * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * fix test error Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-29 18:10:19 +00:00
- Added `max_fpr` parameter to `auroc` metric for computing partial auroc metric ([#3790](https://github.com/PyTorchLightning/pytorch-lightning/pull/3790))
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
- Added `StatScores` metric to compute the number of true positives, false positives, true negatives and false negatives ([#4839](https://github.com/PyTorchLightning/pytorch-lightning/pull/4839))
[Metrics] R2Score (#5241) * add r2metric * change init * add test * add docs * add math * Apply suggestions from code review Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * changelog * adjusted parameter * add more test * pep8 * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add warnings for adjusted score Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-01 11:23:19 +00:00
- Added `R2Score` metric ([#5241](https://github.com/PyTorchLightning/pytorch-lightning/pull/5241))
Add LambdaCallback (#5347) * Add LambdaCallback * docs * add pr link # Conflicts: # CHANGELOG.md * convention * Fix Callback Typo * Update pytorch_lightning/callbacks/lambda_cb.py Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Update pytorch_lightning/callbacks/lambda_cb.py Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Update pytorch_lightning/callbacks/lambda_cb.py Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * use Misconfigureation * update docs * sort export * use inspect * string fill * use fast dev run * isort * remove unused import * sort * hilightning * highlighting * highlighting * remove debug log * eq * res * results * add misconfig exception test * use pytest raises * fix * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/callbacks/lambda_cb.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * hc * rm pt * fix * try fix * whitespace * new hook * add raise * fix * remove unused * rename Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: chaton <thomas@grid.ai>
2021-01-13 09:42:49 +00:00
- Added `LambdaCallback` ([#5347](https://github.com/PyTorchLightning/pytorch-lightning/pull/5347))
Feat: Add BackboneLambdaFinetunningCallback (#5377) * Feat: Add BackboneLambdaFinetunningCallback * update changelog * resolve pep8 and update changelog * add finetunning example * resolve example * iremove milestones from model * iupdate * update * Update pytorch_lightning/callbacks/__init__.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * Update pytorch_lightning/callbacks/__init__.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * update * add comments * resolve test * Update pytorch_lightning/callbacks/finetuning.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update tests/trainer/logging/test_logger_connector.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update on comments * resolve merge Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-01-08 21:33:05 +00:00
- Added `BackboneLambdaFinetuningCallback` ([#5377](https://github.com/PyTorchLightning/pytorch-lightning/pull/5377))
Bugfix/all gather (#5221) * resolve bug * add tests * add tests * resolve flake8 * update * update * remove globals * typo * Update pytorch_lightning/utilities/distributed.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update * update * add suport int, float * update * resolve pep8 * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update tests/utilities/test_all_gather_grad.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update doc * add bool and np.ndarray * resolve conflicts * resolve conflicts * resolve pep8 * add changelog * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-01-09 12:37:44 +00:00
- Accelerator `all_gather` supports collection ([#5221](https://github.com/PyTorchLightning/pytorch-lightning/pull/5221))
added image-gradients (#4763) [1/2] (#5056) * added iamge-gradients (#4763) * fixed tests code format * made recommended fixes * removed explicit device flags * tried to fix doctest failure * pep8 and doctest fixes * added to docs/metrics * updated CHANGELOG * added the noqa flag * added suggested modification to changelog Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * recommended update to docstring Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * removed device from docstring Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * made recommended fixes * Update CHANGELOG.md * Apply suggestions from code review * added 1-line docstrings Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2021-01-07 19:34:38 +00:00
- Added `image_gradients` functional metric to compute the image gradients of a given input image. ([#5056](https://github.com/PyTorchLightning/pytorch-lightning/pull/5056))
[Metrics] MetricCollection (#4318) * docs + precision + recall + f_beta + refactor Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * rebase Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * fixes Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * added missing file * docs * docs * extra import * add metric collection * add docs + integration with log_dict * add test * update * update * more test * more test * pep8 * fix doctest * pep8 * add clone method * add clone method * merge-2 * changelog * kwargs filtering and tests * pep8 * fix test * update docs * Update docs/source/metrics.rst Co-authored-by: Roger Shieh <sh.rog@protonmail.ch> * fix docs * fix tests * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * fix docs * fix doctest * fix doctest * fix doctest * fix doctest Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai> Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-08 10:09:07 +00:00
- Added `MetricCollection` ([#4318](https://github.com/PyTorchLightning/pytorch-lightning/pull/4318))
- Added `.clone()` method to metrics ([#4318](https://github.com/PyTorchLightning/pytorch-lightning/pull/4318))
Reformat iou [func] and add IoU class (#4704) * added Iou * Create iou.py * Update iou.py * Update iou.py * Update CHANGELOG.md * Update metrics.rst * Update iou.py * Update iou.py * Update __init__.py * Update iou.py * Update iou.py * Update classification.py * Update classification.py * Update classification.py * Update __init__.py * Update __init__.py * Update iou.py * Update classification.py * Update metrics.rst * Update CHANGELOG.md * Update CHANGELOG.md * add iou * add test * add test * removed iou * add iou * add iou test * add float * reformat test_iou * removed test_iou * updated format * updated format * Update CHANGELOG.md * updated format * Update metrics.rst * Apply suggestions from code review merge suggestions Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * added equations * reformat init * change format * change format * deprecate iou and test for this * fix changelog * delete iou test in test_classification * format change * format change * format * format * format * delete white space * delete white space * fix tests * Apply suggestions from code review 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> * better deprecation * fix docs * Apply suggestions from code review * fix todo Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-08 13:36:08 +00:00
- Added `IoU` class interface ([#4704](https://github.com/PyTorchLightning/pytorch-lightning/pull/4704))
Add option for weight tying on TPU's (#5441) * added on_post_move_to_device * added tests * docs and refactors * Update tests/backends/test_tpu_backend.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update docs/source/tpu.rst Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update docs/source/tpu.rst Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update docs/source/tpu.rst Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/core/decorators.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/core/hooks.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * moved weight sharing module back to test updated tpu available * add count to warning * fix doctest * import trainer in doctest * import trainer in doctest * do not test code as no TPU device * param count to layer count * formatting * update docs * update import * update * resolve tests * remove legacy accelerator Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Your Name <you@example.com>
2021-02-18 00:03:26 +00:00
- Support to tie weights after moving model to TPU via `on_post_move_to_device` hook
Add missing val/test hooks in LightningModule (#5467) * add missing val/test hooks * chlog * None Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2021-01-13 06:09:47 +00:00
- Added missing val/test hooks in `LightningModule` ([#5467](https://github.com/PyTorchLightning/pytorch-lightning/pull/5467))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- The `Recall` and `Precision` metrics (and their functional counterparts `recall` and `precision`) can now be generalized to Recall@K and Precision@K with the use of `top_k` parameter ([#4842](https://github.com/PyTorchLightning/pytorch-lightning/pull/4842))
- Added `ModelPruning` Callback ([#5618](https://github.com/PyTorchLightning/pytorch-lightning/pull/5618),
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
[#5825](https://github.com/PyTorchLightning/pytorch-lightning/pull/5825),
[#6045](https://github.com/PyTorchLightning/pytorch-lightning/pull/6045))
[feat] Add PyTorch Profiler. (#5560) * add profiler * add profiler * update * resolve flake8 * update doc * update changelog * clean doc * delete prof file * merge pr codebase * update * update doc * update doc * update doc * update on comments * update docstring * update docstring * try * update test * Update pytorch_lightning/profiler/__init__.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/profiler/__init__.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update on comments * remove old code * add support for ddp * resolve flake8 * Update pytorch_lightning/profiler/__init__.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * resolve tests * resolve flake8 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2021-01-26 11:48:54 +00:00
- Added `PyTorchProfiler` ([#5560](https://github.com/PyTorchLightning/pytorch-lightning/pull/5560))
Compositional metrics (#5464) * implement compositional metrics * implement composition functions for metrics * test compositions * docs * pytest * pep8 * fix argument resolution * return all kwargs if filtering not possible * fix typo * implement hashing * Update pytorch_lightning/metrics/compositional.py Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Update docs/source/metrics.rst Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * add representation * Apply suggestions from code review * Update docs/source/metrics.rst Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * chlog * flake8 Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-26 16:56:12 +00:00
- Added compositional metrics ([#5464](https://github.com/PyTorchLightning/pytorch-lightning/pull/5464))
[feat] 1/2 Add trainer.predict (#5579) * start adding predict * add predict * resolve test * add predict * remove limit_predict * update * add test for predict * typo * update on comments * remove predict_step * update ddp_shareded * check ddp_sharded * resolve on comments * resolve isort * update dp * add test dp 1 gpu * made default forward * resolve path * resolve bug * update on comments * resolve doc * resolve bug * update * resolve bug * update on comments * resolve pep8 * update test doc * update on comments * solve special tests * resolve bug * resolve flake8 * Update pytorch_lightning/callbacks/progress.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * add predict to LightningModule * missing predict * typo * rename is_prediction to _predicting * add * update * update * update doc Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-01-27 16:38:14 +00:00
- Added Trainer method `predict(...)` for high performence predictions ([#5579](https://github.com/PyTorchLightning/pytorch-lightning/pull/5579))
Add before_batch_transfer and after_batch_transfer hooks (#3671) * add hooks * comment * docs * add tests * make it private * fix tests * docs * chlog * testcode * codefactor * fix doctest * fix doctest * suggestions * is always overriden * pep and BoringModel * BoringModel * docs * docs * docs * fix * rebase * rebase * suggestions * docs * suggestions * try fix docs * docs * update name * yapf * docs * rebase * yapf
2021-02-18 11:58:12 +00:00
- Added `on_before_batch_transfer` and `on_after_batch_transfer` data hooks ([#3671](https://github.com/PyTorchLightning/pytorch-lightning/pull/3671))
[Metrics] AUC/AUROC class interface (#5479) * base files * auc done * init files * auc class interface * fixing auc * more fixes * working auroc * update auc * add docs * remove leftovers from merge * suggestions * fix f-string * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add deprecated tests * make logic clearer * Update pytorch_lightning/metrics/classification/auroc.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * fix * fix * fix docs * fix isort * fix deprecated test * fix tests * fix tests * fix isort * Apply suggestions from code review * add enum * deprecate old impl * update from suggestions * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-27 13:16:54 +00:00
- Added AUC/AUROC class interface ([#5479](https://github.com/PyTorchLightning/pytorch-lightning/pull/5479))
Add PredictLoop (#5752) * integrate distrib_type * sync changes * sync * fixes * add forgotten generators * add missing logic * update * import * missed imports * import fixes * isort * mv f * changelog * format * move helper to parallel plugin * d * add world size * clean up * duplicate * activate ddp_sharded and tpu * set nvidia flags * remove unused colab var * use_tpu <-> on_tpu attrs * make some ddp_cpu and clusterplugin tests pass * Ref/accelerator connector (#5742) * final cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * connector cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * trainer cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * accelerator cleanup + missing logic in accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add missing changes to callbacks Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * reflect accelerator changes to lightning module Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * clean cluster envs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * cleanup plugins Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add broadcasting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * yapf * remove plugin connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * plugins * add predict_loop * manual optimization * clean predictloop * update optimizer routing * add predict loop on new accelerator * resolve a bug * add rank to torchelastic * add predict_loop * add predict loop on new accelerator * resolve a bug * fix memory mixed precision * update * setstate on trainer for pickling in ddp spawn * add predict_loop * clean predictloop * add predict loop on new accelerator * resolve a bug * add predict_loop * add predict loop on new accelerator * resolve a bug * add predict_loop * add predict loop on new accelerator * resolve a bug * add predict_loop * add predict loop on new accelerator * resolve a bug * add predict_loop * clean predictloop * add predict loop on new accelerator * resolve a bug * add predict_loop * add predict loop on new accelerator * resolve a bug * resolve tests * add predict method * add back commented accelerator code * adapt test for sync_batch_norm to new plugin * fix deprecated tests * fix ddp cpu choice when no num_processes are given * yapf format * skip a memory test that cannot pass anymore * remove sanetize * rename train to run_train * remove useless hooks * add misconfigurationException * remove wrong naming * resolve some legacy * udpate docstring * fix pickle error in spawn plugin * x * avoid * x * fix cyclic import in docs build * add support for sharded * update typing * add sharded and sharded_spawn to distributed types * make unwrap model default * refactor LightningShardedDataParallel similar to LightningDistributedDataParallel * update sharded spawn to reflect changes * update sharded to reflect changes * Merge 1.1.5 changes * fix merge * fix merge * yapf isort * fix merge * yapf isort * fix indentation in test * copy over reinit scheduler implementation from dev1.2 * fix apex tracking calls with dev_debugger * reduce diff to dev1.2, clean up * fix trainer config test when gpus>0 and num_processes >0 and ddp_cpu * sort plugin tests legacy/new * fix error handling for amp on cpu * fix merge fix merge fix merge * [Feat] Resolve manual_backward (#5837) * resolve manual_backward * resolve flake8 * update * resolve for ddp_spawn * resolve flake8 * resolve flake8 * resolve flake8 Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * fix tests/accelerator tests on cpu * [BugFix] Resolve manual optimization (#5852) * resolve manual_optimization * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * Remove copy trainer parameters to happen earlier within the loop and add safe guard to get ref model (#5856) * resovle a bug * Accelerator refactor sharded rpc (#5854) * rpc branch * merge * update handling of rpc * make devices etc. Optional in RPC * set devices etc. later if necessary * remove devices from sequential * make devices optional in rpc * fix import * uncomment everything * fix cluster selection Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * resolve bug * fix assert in rpc test * resolve a test * fix docs compilation * accelerator refactor - fix for sharded parity test (#5866) * fix memory issue with ddp_spawn * x x x x x x x x x * x * Remove DDP2 as this does not apply * Add missing pre optimizer hook to ensure lambda closure is called * fix apex docstring * [accelerator][BugFix] Resolve some test for 1 gpu (#5863) * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * update * resolve flake8 * update * update * update * update * update * all_gather * update * make plugins work, add misconfig for RPC * update * update * remove breaking test * resolve some tests * resolve flake8 * revert to ddp_spawn Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> * yapf isort * resolve flake8 * fix apex doctests * fix apex doctests 2 * resolve docs * update drone * clean env * update * update * update * update * merge * Fix RPC related tests, clean out old API, update for new accelerator API [skip ci] (#5881) * Fix RPC related tests, clean out old API, update for new accelerator API * Move tests out of legacy folder, update paths and names * Update test_remove_1-4.py * Expose properties for tpu cores/gpus/num_gpus * Add root GPU property * Move properties to properties.py * move tests that were previously in drone * Fix root GPU property (#5908) * Move root GPU to property, remove horovod set as this is handled in horovod plugin, ensure we mock correctly to set GPU accelerator * Add missing tests back * fix best model path transfer when no checkpoint callback available * Fix setup hook order [wip] (#5858) * Call trainer setup hook before accelerator setup * Add test case * add new test * typo * fix callback order in test Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * rename ddp sequential -> rpc sequential for special test * revert * fix stupid merge problem * Use property in connector for sampler (#5913) * merge the import conflicts * fix spawning of processes in slurm * [wip] Fix some bugs for TPU [skip ci] (#5878) * fixed for single tpu * fixed spawn * fixed spawn * update * update * wip * resolve bugs * resolve bug * update on comment * removed decorator * resolve comments * set to 4 * update * update * need cleaning * update * update * update * resolve flake8 * resolve bugs * exclude broadcast * resolve bugs * change test * update * update * skip if meet fails * properly raise trace * update * add catch * wrap test * resolve typo * update * typo Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> * resolve some tests * update * fix imports * update * resolve flake8 * update azure pipeline * skip a sharded test on cpu that requires a gpu * resolve tpus * resolve bug * resolve flake8 * update * updat utils * revert permission change on files * suggestions from carlos Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting changes * remove incomplete comment * Update pytorch_lightning/accelerators/__init__.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting change * add types * warn 1.7 ddp manual backward only if ddp kwarg unset * yapf + isort * pep8 unused imports * fix cyclic import in docs * Apply suggestions from code review * typer in accelerator.py * typo * resolve flake8 * update code * update * Update pytorch_lightning/trainer/predict_loop.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/trainer/predict_loop.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * fix merge * fix merge * reset legacy accelerator * add missing rename dispatch * rename post traning * update code * resolved comments * typo * typo * add flow description * resolve comments * update on comments * update flow * add backticks * resolve tpu Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: justusschock <justus.schock@posteo.de> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-16 22:11:56 +00:00
- Added `PredictLoop` object ([#5752](https://github.com/PyTorchLightning/pytorch-lightning/pull/5752))
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
- Added `QuantizationAwareTraining` callback ([#5706](https://github.com/PyTorchLightning/pytorch-lightning/pull/5706),
[#6040](https://github.com/PyTorchLightning/pytorch-lightning/pull/6040))
new LightningModule hook "configure_callbacks" (#5621) Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 00:27:44 +00:00
- Added `LightningModule.configure_callbacks` to enable the definition of model-specific callbacks ([#5621](https://github.com/PyTorchLightning/pytorch-lightning/pull/5621))
Add `dim` to `pytorch_lightning.metrics.PSNR` (#5957) * Add dim to PSNR * Update CHANGELOG.md * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add reduction tests * Recover warnings on reduction and add tests * Add copyright texts * Refactor PSNR * Change warnings * Update pytorch_lightning/metrics/functional/psnr.py Change functional.psnr dim doc Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Change PSNR dim docs * Apply suggestions from code review * tests Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-02-17 10:55:40 +00:00
- Added `dim` to `PSNR` metric for mean-squared-error reduction ([#5957](https://github.com/PyTorchLightning/pytorch-lightning/pull/5957))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Added promxial policy optimization template to pl_examples ([#5394](https://github.com/PyTorchLightning/pytorch-lightning/pull/5394))
- Added `log_graph` to `CometLogger` ([#5295](https://github.com/PyTorchLightning/pytorch-lightning/pull/5295))
- Added possibility for nested loaders ([#5404](https://github.com/PyTorchLightning/pytorch-lightning/pull/5404))
- Added `sync_step` to Wandb logger ([#5351](https://github.com/PyTorchLightning/pytorch-lightning/pull/5351))
- Added `StochasticWeightAveraging` callback ([#5640](https://github.com/PyTorchLightning/pytorch-lightning/pull/5640))
- Added `LightningDataModule.from_datasets(...)` ([#5133](https://github.com/PyTorchLightning/pytorch-lightning/pull/5133))
[Feat] Add TORCH_DISTRIBUTED_BACKEND env variable (#5981) * add backend support * resolve flake8 * update changelog * update * Apply suggestions from code review * Update docs/source/advanced/multi_gpu.rst * add patch as context manager Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-02-17 16:37:39 +00:00
- Added `PL_TORCH_DISTRIBUTED_BACKEND` env variable to select backend ([#5981](https://github.com/PyTorchLightning/pytorch-lightning/pull/5981))
[feat] Add Trainer(stochastic_weight_avg=True/False) (#6038) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-02-17 23:10:05 +00:00
- Added `Trainer` flag to activate Stochastic Weight Averaging (SWA) `Trainer(stochastic_weight_avg=True)` ([#6038](https://github.com/PyTorchLightning/pytorch-lightning/pull/6038))
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
- Added DeepSpeed integration ([#5954](https://github.com/PyTorchLightning/pytorch-lightning/pull/5954),
[#6042](https://github.com/PyTorchLightning/pytorch-lightning/pull/6042))
Feature/5275 clean progress bar print (#5470) * Trainer.test should return only test metrics (#5214) * resolve bug * merge tests * Fix metric state reset (#5273) * Fix metric state reset * Fix test * Improve formatting Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai> * print() method added to ProgressBar * printing alongside progress bar added to LightningModule.print() * LightningModule.print() method documentation updated * ProgressBarBase.print() stub added * stub * add progress bar tests * fix isort * Progress Callback fixes * test_metric.py duplicate DummyList removed * PEP and isort fixes * CHANGELOG updated * test_progress_bar_print win linesep fix * test_progress_bar.py remove whitespaces * Update CHANGELOG.md Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Tadej Svetina <tadej.svetina@gmail.com> Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai> Co-authored-by: Alexander Snorkin <Alexander.Snorkin@acronis.com> Co-authored-by: rohitgr7 <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-02-22 09:40:18 +00:00
Added CHANGELOG section (#5065)
2020-12-11 09:37:32 +00:00
### Changed
Feat: Add BackboneLambdaFinetunningCallback (#5377) * Feat: Add BackboneLambdaFinetunningCallback * update changelog * resolve pep8 and update changelog * add finetunning example * resolve example * iremove milestones from model * iupdate * update * Update pytorch_lightning/callbacks/__init__.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * Update pytorch_lightning/callbacks/__init__.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * update * add comments * resolve test * Update pytorch_lightning/callbacks/finetuning.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update tests/trainer/logging/test_logger_connector.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * update on comments * resolve merge Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-01-08 21:33:05 +00:00
- Changed `stat_scores` metric now calculates stat scores over all classes and gains new parameters, in line with the new `StatScores` metric ([#4839](https://github.com/PyTorchLightning/pytorch-lightning/pull/4839))
- Changed `computer_vision_fine_tunning` example to use `BackboneLambdaFinetuningCallback` ([#5377](https://github.com/PyTorchLightning/pytorch-lightning/pull/5377))
- Changed `automatic casting` for LoggerConnector `metrics` ([#5218](https://github.com/PyTorchLightning/pytorch-lightning/pull/5218))
Reformat iou [func] and add IoU class (#4704) * added Iou * Create iou.py * Update iou.py * Update iou.py * Update CHANGELOG.md * Update metrics.rst * Update iou.py * Update iou.py * Update __init__.py * Update iou.py * Update iou.py * Update classification.py * Update classification.py * Update classification.py * Update __init__.py * Update __init__.py * Update iou.py * Update classification.py * Update metrics.rst * Update CHANGELOG.md * Update CHANGELOG.md * add iou * add test * add test * removed iou * add iou * add iou test * add float * reformat test_iou * removed test_iou * updated format * updated format * Update CHANGELOG.md * updated format * Update metrics.rst * Apply suggestions from code review merge suggestions Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * added equations * reformat init * change format * change format * deprecate iou and test for this * fix changelog * delete iou test in test_classification * format change * format change * format * format * format * delete white space * delete white space * fix tests * Apply suggestions from code review 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> * better deprecation * fix docs * Apply suggestions from code review * fix todo Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-08 13:36:08 +00:00
- Changed `iou` [func] to allow float input ([#4704](https://github.com/PyTorchLightning/pytorch-lightning/pull/4704))
show mush go on (#7413) * chlog + version * readme * .
2021-05-06 23:06:21 +00:00
- Metric `compute()` method will no longer automatically call `reset()` ([#5409](https://github.com/PyTorchLightning/pytorch-lightning/pull/5409))
set minimal req. PT 1.4 (#5418) * set minimal req. PT 1.4 * chlog
2021-01-13 00:15:35 +00:00
- Set PyTorch 1.4 as min requirements, also for testing and examples `torchvision>=0.5` and `torchtext>=0.5` ([#5418](https://github.com/PyTorchLightning/pytorch-lightning/pull/5418))
Allow Callback instance as an argument of `callbacks` in `Trainer` (#5446) * fix * Update CHANGELOG * add test * fix * pep * docs Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-11 11:36:32 +00:00
- Changed `callbacks` argument in `Trainer` to allow `Callback` input ([#5446](https://github.com/PyTorchLightning/pytorch-lightning/pull/5446))
Refactor LightningDistributedDataParallel (#5185) * add wrapper * add squeeze * replace LightningDistributedDP * update import * module access * inputs * refactor warning * update * resolve flake8 * remove old class * set find unused params to False * update docstrings * update docs * update docs * add changelog * deprecation * rename wrapper -> module * rename pl_module * add unit tests * Revert "add changelog" This reverts commit 02ec0a6864f4ba2ace3bb6fc6ebc364e1a80ffd7. * Revert "set find unused params to False" This reverts commit 8e451515e6ba3227d00f4a5cb63f332cfedb7b30. Co-authored-by: Ubuntu <thomas@grid.ai>
2021-01-13 19:35:42 +00:00
- Changed the default of `find_unused_parameters` to `False` in DDP ([#5185](https://github.com/PyTorchLightning/pytorch-lightning/pull/5185))
Convert progress bar metrics to float (#5692) * MetricsHolder(to_float=True) * Update CHANGELOG * Update tests/callbacks/test_progress_bar.py * flake8 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-02-11 00:16:53 +00:00
- Changed `ModelCheckpoint` version suffixes to start at 1 ([#5008](https://github.com/PyTorchLightning/pytorch-lightning/pull/5008))
- Progress bar metrics tensors are now converted to float ([#5692](https://github.com/PyTorchLightning/pytorch-lightning/pull/5692))
Set progressbar refresh rate in Google Colab (#5516) * refresh * add tests * docs * chlog * chlog * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * update docstring Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai>
2021-01-19 17:47:14 +00:00
- Changed the default value for the `progress_bar_refresh_rate` Trainer argument in Google COLAB notebooks to 20 ([#5516](https://github.com/PyTorchLightning/pytorch-lightning/pull/5516))
Enable purely iteration-based training (#5726) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> Co-authored-by: Kaushik Bokka <kaushikbokka@gmail.com>
2021-02-10 08:51:08 +00:00
- Extended support for purely iteration-based training ([#5726](https://github.com/PyTorchLightning/pytorch-lightning/pull/5726))
Refactor access to trainer attributes in LightningModule (#5730) * rank access * tests for property * weekref * logger * changelog * torchscript * changelog * chlog * . * amp * yapf * flake8 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-02-01 14:28:17 +00:00
- Made `LightningModule.global_rank`, `LightningModule.local_rank` and `LightningModule.logger` read-only properties ([#5730](https://github.com/PyTorchLightning/pytorch-lightning/pull/5730))
Force ModelCheckpoint callback to run last (#5731)
2021-02-03 21:40:57 +00:00
- Forced `ModelCheckpoint` callbacks to run after all others to guarantee all states are saved to the checkpoint ([#5731](https://github.com/PyTorchLightning/pytorch-lightning/pull/5731))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Refactored Accelerators and Plugins:
accelerator refactor - add parallel plugins (#5714) Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2021-01-31 12:48:14 +00:00
* Added base classes for plugins ([#5715](https://github.com/PyTorchLightning/pytorch-lightning/pull/5715))
* Added parallel plugins for DP, DDP, DDPSpawn, DDP2 and Horovod ([#5714](https://github.com/PyTorchLightning/pytorch-lightning/pull/5714))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
* Precision Plugins ([#5718](https://github.com/PyTorchLightning/pytorch-lightning/pull/5718))
Hardware specific parts of Accelerator Refactoring (#5719) * add basic accelerator class. Co-Authored with @awaelchi * pep8 Co-authored-by: @awaelchi * add cpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add gpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add tpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add single device training Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add single tpu Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add tpu spawn Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * make on_colab_kaggle utility func * add basic accelerator class. Co-Authored with @awaelchi * pep8 Co-authored-by: @awaelchi * add cpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add gpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add tpu accelerator Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add single device training Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add single tpu Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add tpu spawn Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * make on_colab_kaggle utility func * fixes * move * yapf * . * . * . * flake8 * sync accelerator connector changes from dev1.2 * changelog * fix tpu handling * tpu * aval * yapf * Update pytorch_lightning/plugins/training_type/tpu_spawn.py Co-authored-by: chaton <thomas@grid.ai> * Update pytorch_lightning/accelerators/accelerator_connector.py Co-authored-by: chaton <thomas@grid.ai> * Update pytorch_lightning/plugins/training_type/tpu_spawn.py Co-authored-by: chaton <thomas@grid.ai> * Update tpu_spawn.py * Update pytorch_lightning/accelerators/accelerator_connector.py Co-authored-by: chaton <thomas@grid.ai> * indentation Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: chaton <thomas@grid.ai>
2021-02-01 13:34:59 +00:00
* Added new Accelerators for CPU, GPU and TPU ([#5719](https://github.com/PyTorchLightning/pytorch-lightning/pull/5719))
add missing logic to new plugins and accelerator (#5734) * add missing logic * missed imports * import fixes * isort * mv f * changelog * format * move helper to parallel plugin * d
2021-02-01 18:23:53 +00:00
* Added RPC and Sharded plugins ([#5732](https://github.com/PyTorchLightning/pytorch-lightning/pull/5732))
* Added missing `LightningModule`-wrapper logic to new plugins and accelerator ([#5734](https://github.com/PyTorchLightning/pytorch-lightning/pull/5734))
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
* Moved device-specific teardown logic from training loop to accelerator ([#5973](https://github.com/PyTorchLightning/pytorch-lightning/pull/5973))
* Moved accelerator_connector.py to the connectors subfolder ([#6033](https://github.com/PyTorchLightning/pytorch-lightning/pull/6033))
* Trainer only references accelerator ([#6039](https://github.com/PyTorchLightning/pytorch-lightning/pull/6039))
* Made parallel devices optional across all plugins ([#6051](https://github.com/PyTorchLightning/pytorch-lightning/pull/6051))
* Cleaning ([#5948](https://github.com/PyTorchLightning/pytorch-lightning/pull/5948),
[#5949](https://github.com/PyTorchLightning/pytorch-lightning/pull/5949),
[#5950](https://github.com/PyTorchLightning/pytorch-lightning/pull/5950))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Enabled `self.log` in callbacks ([#5094](https://github.com/PyTorchLightning/pytorch-lightning/pull/5094))
- Renamed xxx_AVAILABLE as protected ([#5082](https://github.com/PyTorchLightning/pytorch-lightning/pull/5082))
- Unified module names in Utils ([#5199](https://github.com/PyTorchLightning/pytorch-lightning/pull/5199))
- Separated utils: imports & enums ([#5256](https://github.com/PyTorchLightning/pytorch-lightning/pull/5256)
[#5874](https://github.com/PyTorchLightning/pytorch-lightning/pull/5874))
- Refactor: clean trainer device & distributed getters ([#5300](https://github.com/PyTorchLightning/pytorch-lightning/pull/5300))
- Simplified training phase as LightningEnum ([#5419](https://github.com/PyTorchLightning/pytorch-lightning/pull/5419))
- Updated metrics to use LightningEnum ([#5689](https://github.com/PyTorchLightning/pytorch-lightning/pull/5689))
- Changed the seq of `on_train_batch_end`, `on_batch_end` & `on_train_epoch_end`, `on_epoch_end hooks` ([#5688](https://github.com/PyTorchLightning/pytorch-lightning/pull/5688))
- Refactored `setup_training` and remove `test_mode` ([#5388](https://github.com/PyTorchLightning/pytorch-lightning/pull/5388))
- Disabled training with zero `num_training_batches` when insufficient `limit_train_batches` ([#5703](https://github.com/PyTorchLightning/pytorch-lightning/pull/5703))
- Refactored `EpochResultStore` ([#5522](https://github.com/PyTorchLightning/pytorch-lightning/pull/5522))
update lr_finder to check for attribute if not running fast_dev_run (#5990) * ref lr_finder a bit * chlog * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-17 12:15:29 +00:00
- Update `lr_finder` to check for attribute if not running `fast_dev_run` ([#5990](https://github.com/PyTorchLightning/pytorch-lightning/pull/5990))
[accelerator][FeatBugFix] Improve manual optimization API (#5771) * fix trainer.model access * move properties * fix test_transfer_batch_hook * fix auto_select_gpus * fix omegaconf test * fix test that needs to simulate slurm ddp * add horovod plugin * fix test with named arguments * clean up whitespace * fix datamodules test * remove old accelerators * fix naming * move old plugins * move to plugins * create precision subpackage * create training_type subpackage * fix all new import errors * fix wrong arguments order passed to test * fix LR finder * Added sharded training type and amp plugin * Move clip grad to precision plugin * Added sharded spawn, select accelerators based on distributed_backend + enable custom fp16 plugin automatically * Fix import issue, attempting to fix tests * Fix initial test * Reflect hook logic from master, should wrap model after move to device * Optional state consolidation, since master has optimizers not wrapped * change attribute for instance test * reset optimizers optimizers are not used in main process, so state would be wrong. * legacy * imports in accel * legacy2 * trainer imports * fix import errors after rebase * move hook to new setup location * provide unwrapping logic * fix trainer callback system * added ddp2 implementation * fix imports .legacy * move plugins * restore legacy * drop test.py from root * add tpu accelerator and plugins * fixes * fix lightning optimizer merge * reset bugreportmodel * unwrapping * step routing forward * model access * unwrap * opt * integrate distrib_type * sync changes * sync * fixes * add forgotten generators * add missing logic * update * import * missed imports * import fixes * isort * mv f * changelog * format * move helper to parallel plugin * d * add world size * clean up * duplicate * activate ddp_sharded and tpu * set nvidia flags * remove unused colab var * use_tpu <-> on_tpu attrs * make some ddp_cpu and clusterplugin tests pass * Ref/accelerator connector (#5742) * final cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * connector cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * trainer cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * accelerator cleanup + missing logic in accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add missing changes to callbacks Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * reflect accelerator changes to lightning module Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * clean cluster envs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * cleanup plugins Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add broadcasting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * yapf * remove plugin connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * plugins * manual optimization * update optimizer routing * add rank to torchelastic * fix memory mixed precision * setstate on trainer for pickling in ddp spawn * add predict method * add back commented accelerator code * adapt test for sync_batch_norm to new plugin * fix deprecated tests * fix ddp cpu choice when no num_processes are given * yapf format * skip a memory test that cannot pass anymore * update on comments * fix pickle error in spawn plugin * x * avoid * x * fix cyclic import in docs build * add support for sharded * update typing * add sharded and sharded_spawn to distributed types * make unwrap model default * refactor LightningShardedDataParallel similar to LightningDistributedDataParallel * update sharded spawn to reflect changes * update sharded to reflect changes * Merge 1.1.5 changes * fix merge * fix merge * yapf isort * fix merge * yapf isort * fix indentation in test * copy over reinit scheduler implementation from dev1.2 * fix apex tracking calls with dev_debugger * reduce diff to dev1.2, clean up * fix trainer config test when gpus>0 and num_processes >0 and ddp_cpu * sort plugin tests legacy/new * fix error handling for amp on cpu * fix merge fix merge fix merge * [Feat] Resolve manual_backward (#5837) * resolve manual_backward * resolve flake8 * update * resolve for ddp_spawn * resolve flake8 * resolve flake8 * resolve flake8 Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * fix tests/accelerator tests on cpu * [BugFix] Resolve manual optimization (#5852) * resolve manual_optimization * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * Remove copy trainer parameters to happen earlier within the loop and add safe guard to get ref model (#5856) * resovle a bug * Accelerator refactor sharded rpc (#5854) * rpc branch * merge * update handling of rpc * make devices etc. Optional in RPC * set devices etc. later if necessary * remove devices from sequential * make devices optional in rpc * fix import * uncomment everything * fix cluster selection Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * resolve bug * fix assert in rpc test * resolve a test * fix docs compilation * accelerator refactor - fix for sharded parity test (#5866) * fix memory issue with ddp_spawn * x x x x x x x x x * x * Remove DDP2 as this does not apply * Add missing pre optimizer hook to ensure lambda closure is called * fix apex docstring * [accelerator][BugFix] Resolve some test for 1 gpu (#5863) * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * update * resolve flake8 * update * update * update * update * update * all_gather * update * make plugins work, add misconfig for RPC * update * update * remove breaking test * resolve some tests * resolve flake8 * revert to ddp_spawn Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> * yapf isort * resolve flake8 * fix apex doctests * fix apex doctests 2 * resolve docs * update drone * clean env * update * update * update * update * merge * Fix RPC related tests, clean out old API, update for new accelerator API [skip ci] (#5881) * Fix RPC related tests, clean out old API, update for new accelerator API * Move tests out of legacy folder, update paths and names * Update test_remove_1-4.py * Expose properties for tpu cores/gpus/num_gpus * Add root GPU property * Move properties to properties.py * move tests that were previously in drone * Fix root GPU property (#5908) * Move root GPU to property, remove horovod set as this is handled in horovod plugin, ensure we mock correctly to set GPU accelerator * Add missing tests back * fix best model path transfer when no checkpoint callback available * Fix setup hook order [wip] (#5858) * Call trainer setup hook before accelerator setup * Add test case * add new test * typo * fix callback order in test Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * rename ddp sequential -> rpc sequential for special test * revert * fix stupid merge problem * Use property in connector for sampler (#5913) * merge the import conflicts * fix spawning of processes in slurm * [wip] Fix some bugs for TPU [skip ci] (#5878) * fixed for single tpu * fixed spawn * fixed spawn * update * update * wip * resolve bugs * resolve bug * update on comment * removed decorator * resolve comments * set to 4 * update * update * need cleaning * update * update * update * resolve flake8 * resolve bugs * exclude broadcast * resolve bugs * change test * update * update * skip if meet fails * properly raise trace * update * add catch * wrap test * resolve typo * update * typo Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> * resolve some tests * update * fix imports * update * resolve flake8 * update azure pipeline * skip a sharded test on cpu that requires a gpu * resolve tpus * resolve bug * resolve flake8 * update * updat utils * revert permission change on files * suggestions from carlos Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting changes * remove incomplete comment * Update pytorch_lightning/accelerators/__init__.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting change * add types * warn 1.7 ddp manual backward only if ddp kwarg unset * yapf + isort * pep8 unused imports * fix cyclic import in docs * Apply suggestions from code review * typer in accelerator.py * typo * Apply suggestions from code review * formatting * update on comments * update typo * Update pytorch_lightning/trainer/properties.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update * update on comments * resolve some comments * update on comments * resolve test * add toggle_model * update * update on comments * update doc * typo * update * typo * remove space * update * update on comments Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: justusschock <justus.schock@posteo.de> Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-16 21:00:35 +00:00
- LightningOptimizer manual optimizer is more flexible and expose `toggle_model` ([#5771](https://github.com/PyTorchLightning/pytorch-lightning/pull/5771))
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
- `MlflowLogger` limit parameter value length to 250 char ([#5893](https://github.com/PyTorchLightning/pytorch-lightning/pull/5893))
- Re-introduced fix for Hydra directory sync with multiple process ([#5993](https://github.com/PyTorchLightning/pytorch-lightning/pull/5993))
[accelerator][FeatBugFix] Improve manual optimization API (#5771) * fix trainer.model access * move properties * fix test_transfer_batch_hook * fix auto_select_gpus * fix omegaconf test * fix test that needs to simulate slurm ddp * add horovod plugin * fix test with named arguments * clean up whitespace * fix datamodules test * remove old accelerators * fix naming * move old plugins * move to plugins * create precision subpackage * create training_type subpackage * fix all new import errors * fix wrong arguments order passed to test * fix LR finder * Added sharded training type and amp plugin * Move clip grad to precision plugin * Added sharded spawn, select accelerators based on distributed_backend + enable custom fp16 plugin automatically * Fix import issue, attempting to fix tests * Fix initial test * Reflect hook logic from master, should wrap model after move to device * Optional state consolidation, since master has optimizers not wrapped * change attribute for instance test * reset optimizers optimizers are not used in main process, so state would be wrong. * legacy * imports in accel * legacy2 * trainer imports * fix import errors after rebase * move hook to new setup location * provide unwrapping logic * fix trainer callback system * added ddp2 implementation * fix imports .legacy * move plugins * restore legacy * drop test.py from root * add tpu accelerator and plugins * fixes * fix lightning optimizer merge * reset bugreportmodel * unwrapping * step routing forward * model access * unwrap * opt * integrate distrib_type * sync changes * sync * fixes * add forgotten generators * add missing logic * update * import * missed imports * import fixes * isort * mv f * changelog * format * move helper to parallel plugin * d * add world size * clean up * duplicate * activate ddp_sharded and tpu * set nvidia flags * remove unused colab var * use_tpu <-> on_tpu attrs * make some ddp_cpu and clusterplugin tests pass * Ref/accelerator connector (#5742) * final cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * connector cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * trainer cleanup Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * accelerator cleanup + missing logic in accelerator connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add missing changes to callbacks Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * reflect accelerator changes to lightning module Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * clean cluster envs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * cleanup plugins Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * add broadcasting Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * yapf * remove plugin connector Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * plugins * manual optimization * update optimizer routing * add rank to torchelastic * fix memory mixed precision * setstate on trainer for pickling in ddp spawn * add predict method * add back commented accelerator code * adapt test for sync_batch_norm to new plugin * fix deprecated tests * fix ddp cpu choice when no num_processes are given * yapf format * skip a memory test that cannot pass anymore * update on comments * fix pickle error in spawn plugin * x * avoid * x * fix cyclic import in docs build * add support for sharded * update typing * add sharded and sharded_spawn to distributed types * make unwrap model default * refactor LightningShardedDataParallel similar to LightningDistributedDataParallel * update sharded spawn to reflect changes * update sharded to reflect changes * Merge 1.1.5 changes * fix merge * fix merge * yapf isort * fix merge * yapf isort * fix indentation in test * copy over reinit scheduler implementation from dev1.2 * fix apex tracking calls with dev_debugger * reduce diff to dev1.2, clean up * fix trainer config test when gpus>0 and num_processes >0 and ddp_cpu * sort plugin tests legacy/new * fix error handling for amp on cpu * fix merge fix merge fix merge * [Feat] Resolve manual_backward (#5837) * resolve manual_backward * resolve flake8 * update * resolve for ddp_spawn * resolve flake8 * resolve flake8 * resolve flake8 Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * fix tests/accelerator tests on cpu * [BugFix] Resolve manual optimization (#5852) * resolve manual_optimization * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * Remove copy trainer parameters to happen earlier within the loop and add safe guard to get ref model (#5856) * resovle a bug * Accelerator refactor sharded rpc (#5854) * rpc branch * merge * update handling of rpc * make devices etc. Optional in RPC * set devices etc. later if necessary * remove devices from sequential * make devices optional in rpc * fix import * uncomment everything * fix cluster selection Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> * resolve bug * fix assert in rpc test * resolve a test * fix docs compilation * accelerator refactor - fix for sharded parity test (#5866) * fix memory issue with ddp_spawn * x x x x x x x x x * x * Remove DDP2 as this does not apply * Add missing pre optimizer hook to ensure lambda closure is called * fix apex docstring * [accelerator][BugFix] Resolve some test for 1 gpu (#5863) * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * update * update * revert init * resolve a bug * update * resolve flake8 * update * update * update * revert init * update * resolve flake8 * update * update * update * update * update * all_gather * update * make plugins work, add misconfig for RPC * update * update * remove breaking test * resolve some tests * resolve flake8 * revert to ddp_spawn Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> * yapf isort * resolve flake8 * fix apex doctests * fix apex doctests 2 * resolve docs * update drone * clean env * update * update * update * update * merge * Fix RPC related tests, clean out old API, update for new accelerator API [skip ci] (#5881) * Fix RPC related tests, clean out old API, update for new accelerator API * Move tests out of legacy folder, update paths and names * Update test_remove_1-4.py * Expose properties for tpu cores/gpus/num_gpus * Add root GPU property * Move properties to properties.py * move tests that were previously in drone * Fix root GPU property (#5908) * Move root GPU to property, remove horovod set as this is handled in horovod plugin, ensure we mock correctly to set GPU accelerator * Add missing tests back * fix best model path transfer when no checkpoint callback available * Fix setup hook order [wip] (#5858) * Call trainer setup hook before accelerator setup * Add test case * add new test * typo * fix callback order in test Co-authored-by: tchaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * rename ddp sequential -> rpc sequential for special test * revert * fix stupid merge problem * Use property in connector for sampler (#5913) * merge the import conflicts * fix spawning of processes in slurm * [wip] Fix some bugs for TPU [skip ci] (#5878) * fixed for single tpu * fixed spawn * fixed spawn * update * update * wip * resolve bugs * resolve bug * update on comment * removed decorator * resolve comments * set to 4 * update * update * need cleaning * update * update * update * resolve flake8 * resolve bugs * exclude broadcast * resolve bugs * change test * update * update * skip if meet fails * properly raise trace * update * add catch * wrap test * resolve typo * update * typo Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> * resolve some tests * update * fix imports * update * resolve flake8 * update azure pipeline * skip a sharded test on cpu that requires a gpu * resolve tpus * resolve bug * resolve flake8 * update * updat utils * revert permission change on files * suggestions from carlos Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting changes * remove incomplete comment * Update pytorch_lightning/accelerators/__init__.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * remove unrelated formatting change * add types * warn 1.7 ddp manual backward only if ddp kwarg unset * yapf + isort * pep8 unused imports * fix cyclic import in docs * Apply suggestions from code review * typer in accelerator.py * typo * Apply suggestions from code review * formatting * update on comments * update typo * Update pytorch_lightning/trainer/properties.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update * update on comments * resolve some comments * update on comments * resolve test * add toggle_model * update * update on comments * update doc * typo * update * typo * remove space * update * update on comments Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: justusschock <justus.schock@posteo.de> Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Justus Schock <justus.schock@rwth-aachen.de> Co-authored-by: Ubuntu <ubuntu@ip-172-31-88-60.ec2.internal> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: root <root@ip-172-31-88-60.ec2.internal> Co-authored-by: Lezwon Castelino <lezwon@gmail.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-16 21:00:35 +00:00
Added CHANGELOG section (#5065)
2020-12-11 09:37:32 +00:00
### Deprecated
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
- Function `stat_scores_multiple_classes` is deprecated in favor of `stat_scores` ([#4839](https://github.com/PyTorchLightning/pytorch-lightning/pull/4839))
Refactor: legacy accelerators and plugins (#5645) * tests: legacy * legacy: accel * legacy: plug * fix imports * mypy * flake8
2021-01-27 01:04:36 +00:00
- Moved accelerators and plugins to its `legacy` pkg ([#5645](https://github.com/PyTorchLightning/pytorch-lightning/pull/5645))
Refactor LightningDataParallel (#5670) * module * fix model access * scalar conversion * refactor * kwargs * auto unsqueeze * refactor code duplication * clean up * docs * update dp docs * changelog * generalize test * test * rename * warning cache * isort * unsqueezing test * device * device * scalar test * device * device * include coverage of overrides * clear * add deprecation test * docs * improve coverage * increase coverage * fix merge * extend test * rename base class * mention the predict method in docs * combine iteration over collection * remove override * move * line * Apply suggestions from code review * fix running stage * f401 * fix cyclic import Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-31 11:08:16 +00:00
- Deprecated `LightningDistributedDataParallel` in favor of new wrapper module `LightningDistributedModule` ([#5185](https://github.com/PyTorchLightning/pytorch-lightning/pull/5185))
- Deprecated `LightningDataParallel` in favor of new wrapper module `LightningParallelModule` ([#5670](https://github.com/PyTorchLightning/pytorch-lightning/pull/5670))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Renamed utils modules ([#5199](https://github.com/PyTorchLightning/pytorch-lightning/pull/5199))
* `argparse_utils` >> `argparse`
* `model_utils` >> `model_helpers`
* `warning_utils` >> `warnings`
* `xla_device_utils` >> `xla_device`
Add deprecation warning to ModelCheckpoint when logging val_loss with no monitor (#6012) * Add deprecation warning when logging val_loss with no monitor * EOF * Update CHANGELOG * Clear warning cache before testing * pep8 Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-02-17 10:46:58 +00:00
- Deprecated using `'val_loss'` to set the `ModelCheckpoint` monitor ([#6012](https://github.com/PyTorchLightning/pytorch-lightning/pull/6012))
Replace .get_model() with explicit .lightning_module (#6035) * rename get_model -> lightning_module * update references to get_model * pep8 * add proper deprecation * remove outdated _get_reference_model * fix cyclic import
2021-02-18 14:59:54 +00:00
- Deprecated `.get_model()` with explicit `.lightning_module` property ([#6035](https://github.com/PyTorchLightning/pytorch-lightning/pull/6035))
rename accelerator_backend -> accelerator (#6034) * rename accelerator backend * rename new additions from master * add proper deprecation * pep8 * warning match * add missing warning type
2021-02-18 15:54:12 +00:00
- Deprecated Trainer attribute `accelerator_backend` in favor of `accelerator` ([#6034](https://github.com/PyTorchLightning/pytorch-lightning/pull/6034))
Added CHANGELOG section (#5065)
2020-12-11 09:37:32 +00:00
### Removed
drop deprecated fbeta metrics (#5322) * drop deprecated fbeta metrics * flake8 * imports * chlog
2021-01-02 00:49:23 +00:00
- Removed deprecated checkpoint argument `filepath` ([#5321](https://github.com/PyTorchLightning/pytorch-lightning/pull/5321))
- Removed deprecated `Fbeta`, `f1_score` and `fbeta_score` metrics ([#5322](https://github.com/PyTorchLightning/pytorch-lightning/pull/5322))
drop deprecated TrainResult (#5323) * drop TrainResult * . * . * . * . * . * .
2021-01-04 01:54:21 +00:00
- Removed deprecated `TrainResult` ([#5323](https://github.com/PyTorchLightning/pytorch-lightning/pull/5323))
chlog
2021-01-26 09:52:00 +00:00
- Removed deprecated `EvalResult` ([#5633](https://github.com/PyTorchLightning/pytorch-lightning/pull/5633))
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
- Removed `LoggerStages` ([#5673](https://github.com/PyTorchLightning/pytorch-lightning/pull/5673))
Added CHANGELOG section (#5065)
2020-12-11 09:37:32 +00:00
### Fixed
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
- Fixed distributed setting and `ddp_cpu` only with `num_processes>1` ([#5297](https://github.com/PyTorchLightning/pytorch-lightning/pull/5297))
- Fixed `num_workers` for Windows example ([#5375](https://github.com/PyTorchLightning/pytorch-lightning/pull/5375))
- Fixed loading yaml ([#5619](https://github.com/PyTorchLightning/pytorch-lightning/pull/5619))
release 1.1.7 (#5761) Co-authored-by: chaton <thomas@grid.ai>
2021-02-03 10:21:57 +00:00
- Fixed support custom DataLoader with DDP if they can be re-instantiated ([#5745](https://github.com/PyTorchLightning/pytorch-lightning/pull/5745))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Fixed repeated `.fit()` calls ignore max_steps iteration bound ([#5936](https://github.com/PyTorchLightning/pytorch-lightning/pull/5936))
- Fixed throwing `MisconfigurationError` on unknown mode ([#5255](https://github.com/PyTorchLightning/pytorch-lightning/pull/5255))
- Resolve bug with Finetuning ([#5744](https://github.com/PyTorchLightning/pytorch-lightning/pull/5744))
- Fixed `ModelCheckpoint` race condition in file existence check ([#5155](https://github.com/PyTorchLightning/pytorch-lightning/pull/5155))
- Fixed some compatibility with PyTorch 1.8 ([#5864](https://github.com/PyTorchLightning/pytorch-lightning/pull/5864))
- Fixed forward cache ([#5895](https://github.com/PyTorchLightning/pytorch-lightning/pull/5895))
Make move_metrics_to_cpu work recursively (#6007) * Propagate to_cpu flag down the recursion chain * Refactor * Add test * Update CHANGELOG * Update tests/utilities/test_memory.py Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-02-16 21:52:42 +00:00
- Fixed recursive detach of tensors to CPU ([#6007](https://github.com/PyTorchLightning/pytorch-lightning/pull/6007))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Fixed passing wrong strings for scheduler interval doesn't throw an error ([#5923](https://github.com/PyTorchLightning/pytorch-lightning/pull/5923))
[Bugfix] Apply untoggle_optimizer when result is None (#5983) * update changelog * apply untoggle_optimizer when result is None * update tests * still return loss sometimes * Update CHANGELOG.md Co-authored-by: deng-cy <dcy1996@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-02-17 19:55:09 +00:00
- Fixed wrong `requires_grad` state after `return None` with multiple optimizers ([#5738](https://github.com/PyTorchLightning/pytorch-lightning/pull/5638))
[BugFix] Add on_epoch_end hook after on_test/validation_epoch_end hook (#5986) * add hook * update changelog * resolve tests
2021-02-17 17:21:49 +00:00
- Fixed add `on_epoch_end` hook at the end of `validation`, `test` epoch ([#5986](https://github.com/PyTorchLightning/pytorch-lightning/pull/5986))
[Hot Fix] Ensure process_dataloader is called when tpu_cores > 1 to use Parallel DataLoader (#6015) * hotfix for tpu * update changelog * Update CHANGELOG.md Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2021-02-16 22:02:25 +00:00
- Fixed missing `process_dataloader` call for `TPUSpawn` when in distributed mode ([#6015](https://github.com/PyTorchLightning/pytorch-lightning/pull/6015))
Prevent flickering progress bar (#6009) * add padding * fix * fix * Update pytorch_lightning/callbacks/progress.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * updated based on suggestion * changelog * add test * fix pep8 * resolve test * fix code format Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: tchaton <thomas@grid.ai>
2021-02-17 19:01:51 +00:00
- Fixed progress bar flickering by appending 0 to floats/strings ([#6009](https://github.com/PyTorchLightning/pytorch-lightning/pull/6009))
[HotFix] Resolve TPU Training (#6027) * fix tpus * update * add back reduction in val_loss * resolve some bugs with TPUs * update changelog * update on comments * forgot status * Fix train_bn arg * resolve comments * update on comments Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-02-17 16:40:13 +00:00
- Fixed synchronization issues with TPU training ([#6027](https://github.com/PyTorchLightning/pytorch-lightning/pull/6027))
v1.2.0rc2 (#6063) * v1.2.0rc2 * chlogs * chlogs * format * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-18 19:51:12 +00:00
- Fixed `hparams.yaml` saved twice when using `TensorBoardLogger` ([#5953](https://github.com/PyTorchLightning/pytorch-lightning/pull/5953))
- Fixed basic examples ([#5912](https://github.com/PyTorchLightning/pytorch-lightning/pull/5912),
[#5985](https://github.com/PyTorchLightning/pytorch-lightning/pull/5985))
- Fixed `fairscale` compatible with PT 1.8 ([#5996](https://github.com/PyTorchLightning/pytorch-lightning/pull/5996))
- Ensured `process_dataloader` is called when `tpu_cores > 1` to use Parallel DataLoader ([#6015](https://github.com/PyTorchLightning/pytorch-lightning/pull/6015))
- Attempted SLURM auto resume call when non-shell call fails ([#6002](https://github.com/PyTorchLightning/pytorch-lightning/pull/6002))
- Fixed wrapping optimizers upon assignment ([#6006](https://github.com/PyTorchLightning/pytorch-lightning/pull/6006))
- Fixed allowing hashing of metrics with lists in their state ([#5939](https://github.com/PyTorchLightning/pytorch-lightning/pull/5939))
[HotFix] Resolve TPU Training (#6027) * fix tpus * update * add back reduction in val_loss * resolve some bugs with TPUs * update changelog * update on comments * forgot status * Fix train_bn arg * resolve comments * update on comments Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com>
2021-02-17 16:40:13 +00:00
[Bugfix] Apply untoggle_optimizer when result is None (#5983) * update changelog * apply untoggle_optimizer when result is None * update tests * still return loss sometimes * Update CHANGELOG.md Co-authored-by: deng-cy <dcy1996@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-02-17 19:55:09 +00:00
Separate epoch validation from step validation (#5208) * Seperate epoch validaton from step validation * update system * test * baked logic in callbacks * unbake logic in callbacks * fix the call for scheduler * use property * pep * correct rebase * gitignore * ref * add tests * fix * add early stopping test * trigger * chlog * rev * 1.3 * log * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/trainer/training_loop.py * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit e429f97b670846bf0e0595074c4d3c4f152dcf27)
2021-02-08 08:35:07 +00:00
## [1.1.8] - 2021-02-08
prepare v1.1.8 (#5839) (cherry picked from commit 3b7afb932b838e51b3bf99bc4213053c63c277cb)
2021-02-06 06:05:53 +00:00
### Fixed
Separate epoch validation from step validation (#5208) * Seperate epoch validaton from step validation * update system * test * baked logic in callbacks * unbake logic in callbacks * fix the call for scheduler * use property * pep * correct rebase * gitignore * ref * add tests * fix * add early stopping test * trigger * chlog * rev * 1.3 * log * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/trainer/training_loop.py * Update CHANGELOG.md * Apply suggestions from code review Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit e429f97b670846bf0e0595074c4d3c4f152dcf27)
2021-02-08 08:35:07 +00:00
- Separate epoch validation from step validation ([#5208](https://github.com/PyTorchLightning/pytorch-lightning/pull/5208))
prepare v1.1.8 (#5839) (cherry picked from commit 3b7afb932b838e51b3bf99bc4213053c63c277cb)
2021-02-06 06:05:53 +00:00
- Fixed `toggle_optimizers` not handling all optimizer parameters ([#5775](https://github.com/PyTorchLightning/pytorch-lightning/pull/5775))
release 1.1.7 (#5761) Co-authored-by: chaton <thomas@grid.ai>
2021-02-03 10:21:57 +00:00
## [1.1.7] - 2021-02-03
new section + legacy 1.1.6 (#5666)
2021-01-27 04:52:27 +00:00
### Fixed
Close SummaryWriter in TensorBoardLogger on finalize (#5696) Not entirely sure this is the "right" solution to this problem, but currently when model fitting is finished the `TensorBoardLogger` attribute `_experiment` (a `SummaryWriter`) is left with an open file handle. This causes issues in particular on Windows systems (and probably others), and also makes the files un-syncable on cloud-synced devices like OneDrive. This PR adds a `close()` to `finalize` to make sure this handle is closed upon fit completion. Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2021-01-29 13:08:05 +00:00
- Fixed `TensorBoardLogger` not closing `SummaryWriter` on `finalize` ([#5696](https://github.com/PyTorchLightning/pytorch-lightning/pull/5696))
Filter "unsqueeze" warning when using DP (#5622) * filtering unsqueeze warning directly in DP * add changelog * constrain to module Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-27 17:15:59 +00:00
- Fixed filtering of pytorch "unsqueeze" warning when using DP ([#5622](https://github.com/PyTorchLightning/pytorch-lightning/pull/5622))
Fix `num_classes` arg in F1 metric (#5663) * fix f1 metric * Apply suggestions from code review * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-27 11:16:04 +00:00
- Fixed `num_classes` argument in F1 metric ([#5663](https://github.com/PyTorchLightning/pytorch-lightning/pull/5663))
Fix log_dir property (#5537) * fix and update tests * update with ModelCheckpoint * chlog * wip wandb fix * all fixed Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-02 17:06:11 +00:00
- Fixed `log_dir` property ([#5537](https://github.com/PyTorchLightning/pytorch-lightning/pull/5537))
Fix ModelCheckpoint race condition in file existence check (#5155) Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2021-01-27 15:27:43 +00:00
- Fixed a race condition in `ModelCheckpoint` when checking if a checkpoint file exists ([#5144](https://github.com/PyTorchLightning/pytorch-lightning/pull/5144))
Remove unnecessary intermediate layers in base-conda Dockerfile (#5697) * [docker][base-conda] Combine ENV+COPY instructions * [docker][base-cuda] Combine ENV+COPY instructions * [docker][base-xla] Combine ENV+COPY instructions * [docker][base-cuda] Fix COPY instruction * [docker][base-xla] Fix quote in ENV * [docker][base-xla] Fix $PATH in ENV * [docker][base-conda] Fix COPY instruction * chlog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2021-01-29 12:27:18 +00:00
- Remove unnecessary intermediate layers in Dockerfiles ([#5697](https://github.com/PyTorchLightning/pytorch-lightning/pull/5697))
Bugfix/5487 auto lr ordering (#5638) * started to write failing test. just getting into the framework... * started to write failing test. just getting into the framework... * added failing test for misconfiguration of lr finder * made test startup quickly. making sure without the fix it also fails slowly * improved test * fixed for linter * fixed for linter * yet another fix for the linter * yet another fix for the linter * fixed comment by @carmocca * fixed comment by @carmocca * Fix test * chlog * Apply suggestions from code review * Fix test * Update pytorch_lightning/tuner/lr_finder.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/tuner/lr_finder.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update tests/trainer/test_lr_finder.py * Update pytorch_lightning/tuner/lr_finder.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/tuner/lr_finder.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/tuner/lr_finder.py * Update tests/trainer/test_lr_finder.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-02-01 14:12:57 +00:00
- Fixed auto learning rate ordering ([#5638](https://github.com/PyTorchLightning/pytorch-lightning/pull/5638))
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
## [1.1.6] - 2021-01-26
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
### Changed
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
- Increased TPU check timeout from 20s to 100s ([#5598](https://github.com/PyTorchLightning/pytorch-lightning/pull/5598))
- Ignored `step` param in Neptune logger's log_metric method ([#5510](https://github.com/PyTorchLightning/pytorch-lightning/pull/5510))
- Pass batch outputs to `on_train_batch_end` instead of `epoch_end` outputs ([#4369](https://github.com/PyTorchLightning/pytorch-lightning/pull/4369))
fix num_workers for Windows example (#5375) * fix num_workers for Windows example * chlog * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * warn Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-01-07 00:28:30 +00:00
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
### Fixed
fix num_workers for Windows example (#5375) * fix num_workers for Windows example * chlog * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * warn Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-01-07 00:28:30 +00:00
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
- Fixed `toggle_optimizer` to reset `requires_grad` state ([#5574](https://github.com/PyTorchLightning/pytorch-lightning/pull/5574))
- Fixed FileNotFoundError for best checkpoint when using DDP with Hydra ([#5629](https://github.com/PyTorchLightning/pytorch-lightning/pull/5629))
- Fixed an error when logging a progress bar metric with a reserved name ([#5620](https://github.com/PyTorchLightning/pytorch-lightning/pull/5620))
- Fixed `Metric`'s `state_dict` not included when child modules ([#5614](https://github.com/PyTorchLightning/pytorch-lightning/pull/5614))
move progress bar test to correct test folder (#5667)
2021-01-27 08:52:14 +00:00
- Fixed Neptune logger creating multiple experiments when GPUs > 1 ([#3256](https://github.com/PyTorchLightning/pytorch-lightning/pull/3256))
Prepare 1.1.6 release (#5661) * Parepre 1.1.6 release * Remove headers * Apply suggestions from code review * docs: Apply docs suggestions for release Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Kaushik B <45285388+kaushikb11@users.noreply.github.com> (cherry picked from commit c462b274ee193a40ab0172931e0c5102a7be51bc)
2021-01-26 15:43:26 +00:00
- Fixed duplicate logs appearing in console when using the python logging module ([#5509](https://github.com/PyTorchLightning/pytorch-lightning/pull/5509))
- Fixed tensor printing in `trainer.test()` ([#5138](https://github.com/PyTorchLightning/pytorch-lightning/pull/5138))
- Fixed not using dataloader when `hparams` present ([#4559](https://github.com/PyTorchLightning/pytorch-lightning/pull/4559))
Fix loading yaml (#5619) * fix yaml * chlog
2021-01-25 15:17:55 +00:00
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
Prepare 1.1.5 release (#5576) Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-19 20:03:17 +00:00
## [1.1.5] - 2021-01-19
Refactor: drop LoggerStages (#5673) * drop LoggerStages * chlog
2021-01-30 14:59:18 +00:00
Fix visual progress bar bug / properly reset progress bar (#4579) * reset * fix reset * changelog * update chlog * typing Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-14 02:25:12 +00:00
### Fixed
- Fixed a visual bug in the progress bar display initialization ([#4579](https://github.com/PyTorchLightning/pytorch-lightning/pull/4579))
Prepare 1.1.5 release (#5576) Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2021-01-19 20:03:17 +00:00
- Fixed logging `on_train_batch_end` in a callback with multiple optimizers ([#5521](https://github.com/PyTorchLightning/pytorch-lightning/pull/5521))
fix reinit_schedulers with correct optimizer (#5519) * update test * syntax * fix * update test * scheduler * only apex * fix * rev drone * chlog
2021-01-15 15:22:45 +00:00
- Fixed `reinit_scheduler_properties` with correct optimizer ([#5519](https://github.com/PyTorchLightning/pytorch-lightning/pull/5519))
Fix val_check_interval with fast_dev_run (#5540) * fix val_check_interval with fast_dev_run * chlog
2021-01-18 08:24:27 +00:00
- Fixed `val_check_interval` with `fast_dev_run` ([#5540](https://github.com/PyTorchLightning/pytorch-lightning/pull/5540))
Fix visual progress bar bug / properly reset progress bar (#4579) * reset * fix reset * changelog * update chlog * typing Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2021-01-14 02:25:12 +00:00
## [1.1.4] - 2021-01-12
Add 1.1.4 section to CHANGELOG (#5378) (cherry picked from commit 019e4ff8cddadfde4d3bd48b4e8b8d294950ca2a)
2021-01-06 12:27:59 +00:00
### Added
update CHANGELOG.md (#5482) (cherry picked from commit 652df1886abc63820d956aef7a468ff4cf1bea7f)
2021-01-12 18:53:10 +00:00
- Add automatic optimization property setter to lightning module ([#5169](https://github.com/PyTorchLightning/pytorch-lightning/pull/5169))
Add 1.1.4 section to CHANGELOG (#5378) (cherry picked from commit 019e4ff8cddadfde4d3bd48b4e8b8d294950ca2a)
2021-01-06 12:27:59 +00:00
### Changed
update CHANGELOG.md (#5482) (cherry picked from commit 652df1886abc63820d956aef7a468ff4cf1bea7f)
2021-01-12 18:53:10 +00:00
- Changed deprecated `enable_pl_optimizer=True` ([#5244](https://github.com/PyTorchLightning/pytorch-lightning/pull/5244))
Add 1.1.4 section to CHANGELOG (#5378) (cherry picked from commit 019e4ff8cddadfde4d3bd48b4e8b8d294950ca2a)
2021-01-06 12:27:59 +00:00
### Fixed
[bug-fix] Call transfer_batch_to_device in DDPlugin (#5195) * hacking out * update * remove useless on_before_forward * update * remove overriden * iremove os * use on_before_forward * resolve flake8 * add test * update * add single_process_per_device * resolve flake8 * update * resolve * update * update * update * add comment * resolve bug with sharded * update * remove property * update * resolve test * resolve bug * update on comments * update doc * Update pytorch_lightning/core/hooks.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update on comments * Update pytorch_lightning/plugins/ddp_plugin.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/plugins/ddp_plugin.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * resolve pep8 * add device_ids to pipe * update on comments * update * resolve * update * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> (cherry picked from commit d510707bc99d43dd2cfd877428d9cc16af8b4074)
2021-01-08 17:05:22 +00:00
- Fixed `transfer_batch_to_device` for DDP with `len(devices_ids) == 1` ([#5195](https://github.com/PyTorchLightning/pytorch-lightning/pull/5195))
update CHANGELOG.md (#5482) (cherry picked from commit 652df1886abc63820d956aef7a468ff4cf1bea7f)
2021-01-12 18:53:10 +00:00
- Logging only on `not should_accumulate()` during training ([#5417](https://github.com/PyTorchLightning/pytorch-lightning/pull/5417))
[feat] 1/2 Add trainer.predict (#5579) * start adding predict * add predict * resolve test * add predict * remove limit_predict * update * add test for predict * typo * update on comments * remove predict_step * update ddp_shareded * check ddp_sharded * resolve on comments * resolve isort * update dp * add test dp 1 gpu * made default forward * resolve path * resolve bug * update on comments * resolve doc * resolve bug * update * resolve bug * update on comments * resolve pep8 * update test doc * update on comments * solve special tests * resolve bug * resolve flake8 * Update pytorch_lightning/callbacks/progress.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * add predict to LightningModule * missing predict * typo * rename is_prediction to _predicting * add * update * update * update doc Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-01-27 16:38:14 +00:00
- Resolve interpolation bug with Hydra ([#5406](https://github.com/PyTorchLightning/pytorch-lightning/pull/5406))
update CHANGELOG.md (#5482) (cherry picked from commit 652df1886abc63820d956aef7a468ff4cf1bea7f)
2021-01-12 18:53:10 +00:00
- Check environ before selecting a seed to prevent warning message ([#4743](https://github.com/PyTorchLightning/pytorch-lightning/pull/4743))
[bugfix] Fix signature mismatch in DDPCPUHPCAccelerator's model_to_device (#5505) * Update ddp_cpu_hpc_accelerator.py * Update CHANGELOG.md
2021-01-16 10:57:30 +00:00
- Fixed signature mismatch in `model_to_device` of `DDPCPUHPCAccelerator` ([#5505](https://github.com/PyTorchLightning/pytorch-lightning/pull/5505))
[bug-fix] Call transfer_batch_to_device in DDPlugin (#5195) * hacking out * update * remove useless on_before_forward * update * remove overriden * iremove os * use on_before_forward * resolve flake8 * add test * update * add single_process_per_device * resolve flake8 * update * resolve * update * update * update * add comment * resolve bug with sharded * update * remove property * update * resolve test * resolve bug * update on comments * update doc * Update pytorch_lightning/core/hooks.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * update on comments * Update pytorch_lightning/plugins/ddp_plugin.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update pytorch_lightning/plugins/ddp_plugin.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * resolve pep8 * add device_ids to pipe * update on comments * update * resolve * update * update * update Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> (cherry picked from commit d510707bc99d43dd2cfd877428d9cc16af8b4074)
2021-01-08 17:05:22 +00:00
Add 1.1.4 section to CHANGELOG (#5378) (cherry picked from commit 019e4ff8cddadfde4d3bd48b4e8b8d294950ca2a)
2021-01-06 12:27:59 +00:00
## [1.1.3] - 2021-01-05
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
### Added
Prepare 1.1.3 release (#5365) * Prepare 1.1.3 release * Fix flake8 error * suppress * Remove 1.1.4 section * Add missing commits to CHANGELOG * Update PR template * Add missing commit * fix * Update CHANGELOG.md * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 4d9db866a11f3b4b9b923bca811911ac79dad914)
2021-01-05 23:43:46 +00:00
- Added a check for optimizer attached to `lr_scheduler` ([#5338](https://github.com/PyTorchLightning/pytorch-lightning/pull/5338))
- Added support for passing non-existing filepaths to `resume_from_checkpoint` ([#4402](https://github.com/PyTorchLightning/pytorch-lightning/pull/4402))
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
Add a check for optimizer attatched to lr_scheduler (#5338) * add a check for scheduler and optimizer * pep * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> (cherry picked from commit c7d0f4c3a29bd5524e0b66f9196f123b64d1587a)
2021-01-05 06:07:28 +00:00
### Changed
Prepare 1.1.3 release (#5365) * Prepare 1.1.3 release * Fix flake8 error * suppress * Remove 1.1.4 section * Add missing commits to CHANGELOG * Update PR template * Add missing commit * fix * Update CHANGELOG.md * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 4d9db866a11f3b4b9b923bca811911ac79dad914)
2021-01-05 23:43:46 +00:00
- Skip restore from `resume_from_checkpoint` while `testing` ([#5161](https://github.com/PyTorchLightning/pytorch-lightning/pull/5161))
Allow log_momentum for adaptive optimizers (#5333) * fix * fix * chlog * no momentum warning * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * ref Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> (cherry picked from commit 371daea594f1f9b6b1f3a7071688ba61fe0b335a)
2021-01-05 06:51:22 +00:00
- Allowed `log_momentum` for adaptive optimizers in `LearningRateMonitor` ([#5333](https://github.com/PyTorchLightning/pytorch-lightning/pull/5333))
Prepare 1.1.3 release (#5365) * Prepare 1.1.3 release * Fix flake8 error * suppress * Remove 1.1.4 section * Add missing commits to CHANGELOG * Update PR template * Add missing commit * fix * Update CHANGELOG.md * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 4d9db866a11f3b4b9b923bca811911ac79dad914)
2021-01-05 23:43:46 +00:00
- Disabled checkpointing, earlystopping and logging with `fast_dev_run` ([#5277](https://github.com/PyTorchLightning/pytorch-lightning/pull/5277))
- Distributed group defaults to `WORLD` if `None` ([#5125](https://github.com/PyTorchLightning/pytorch-lightning/pull/5125))
Allow log_momentum for adaptive optimizers (#5333) * fix * fix * chlog * no momentum warning * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * ref Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> (cherry picked from commit 371daea594f1f9b6b1f3a7071688ba61fe0b335a)
2021-01-05 06:51:22 +00:00
Prepare 1.1.3 release (#5365) * Prepare 1.1.3 release * Fix flake8 error * suppress * Remove 1.1.4 section * Add missing commits to CHANGELOG * Update PR template * Add missing commit * fix * Update CHANGELOG.md * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 4d9db866a11f3b4b9b923bca811911ac79dad914)
2021-01-05 23:43:46 +00:00
### Fixed
Disable checkpointing, earlystopping and logging with fast_dev_run (#5277) * Disable checkpointing, earlystopping and logger with fast_dev_run * docs * chlog * disable callbacks and enable DummyLogger * add log * use dummy logger method * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit f7402455218e5087e61d8255a4a87a8db58a7194)
2021-01-05 02:54:49 +00:00
Prepare 1.1.3 release (#5365) * Prepare 1.1.3 release * Fix flake8 error * suppress * Remove 1.1.4 section * Add missing commits to CHANGELOG * Update PR template * Add missing commit * fix * Update CHANGELOG.md * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 4d9db866a11f3b4b9b923bca811911ac79dad914)
2021-01-05 23:43:46 +00:00
- Fixed `trainer.test` returning non-test metrics ([#5214](https://github.com/PyTorchLightning/pytorch-lightning/pull/5214))
- Fixed metric state reset ([#5273](https://github.com/PyTorchLightning/pytorch-lightning/pull/5273))
- Fixed `--num-nodes` on `DDPSequentialPlugin` ([#5327](https://github.com/PyTorchLightning/pytorch-lightning/pull/5327))
- Fixed invalid value for `weights_summary` ([#5296](https://github.com/PyTorchLightning/pytorch-lightning/pull/5296))
- Fixed `Trainer.test` not using the latest `best_model_path` ([#5161](https://github.com/PyTorchLightning/pytorch-lightning/pull/5161))
- Fixed existence check for hparams not using underlying filesystem ([#5250](https://github.com/PyTorchLightning/pytorch-lightning/pull/5250))
- Fixed `LightningOptimizer` AMP bug ([#5191](https://github.com/PyTorchLightning/pytorch-lightning/pull/5191))
FIX-5311: Cast to string `_flatten_dict` (#5354) * fix * params * add test * add another types * chlog Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> (cherry picked from commit 6536ea42fa88eda63f17dae60c51d9669b409b78)
2021-01-05 22:04:53 +00:00
- Fixed casted key to string in `_flatten_dict` ([#5354](https://github.com/PyTorchLightning/pytorch-lightning/pull/5354))
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
update for v1.1.2 (#5240)
2020-12-23 09:22:11 +00:00
## [1.1.2] - 2020-12-23
Prelease 1.1.2rc (#5171) * update CHANGELOG.md, increment for RC * Add missing changelog update * Added a few more * Move to added * Address code review * Missing space * Remove unreleased * Remove lines * Update CHANGELOG.md Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-17 13:45:02 +00:00
### Added
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- Support number for logging with `sync_dist=True` ([#5080](https://github.com/PyTorchLightning/pytorch-lightning/pull/5080))
- Added offset logging step when resuming for Wandb logger ([#5050](https://github.com/PyTorchLightning/pytorch-lightning/pull/5050))
Prelease 1.1.2rc (#5171) * update CHANGELOG.md, increment for RC * Add missing changelog update * Added a few more * Move to added * Address code review * Missing space * Remove unreleased * Remove lines * Update CHANGELOG.md Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-17 13:45:02 +00:00
### Removed
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- `enable_pl_optimizer=False` by default to temporarily fix AMP issues ([#5163](https://github.com/PyTorchLightning/pytorch-lightning/pull/5163))
Prelease 1.1.2rc (#5171) * update CHANGELOG.md, increment for RC * Add missing changelog update * Added a few more * Move to added * Address code review * Missing space * Remove unreleased * Remove lines * Update CHANGELOG.md Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-17 13:45:02 +00:00
### Fixed
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- Metric reduction with Logging ([#5150](https://github.com/PyTorchLightning/pytorch-lightning/pull/5150))
- Remove nan loss in manual optimization ([#5121](https://github.com/PyTorchLightning/pytorch-lightning/pull/5121))
- Un-balanced logging properly supported ([#5119](https://github.com/PyTorchLightning/pytorch-lightning/pull/5119))
- Fix hanging in DDP HPC accelerators ([#5157](https://github.com/PyTorchLightning/pytorch-lightning/pull/5157))
- Fix reset `TensorRunningAccum` ([#5106](https://github.com/PyTorchLightning/pytorch-lightning/pull/5106))
- Updated `DALIClassificationLoader` to not use deprecated arguments ([#4925](https://github.com/PyTorchLightning/pytorch-lightning/pull/4925))
- Corrected call to `torch.no_grad` ([#5124](https://github.com/PyTorchLightning/pytorch-lightning/pull/5124))
Prelease 1.1.2rc (#5171) * update CHANGELOG.md, increment for RC * Add missing changelog update * Added a few more * Move to added * Address code review * Missing space * Remove unreleased * Remove lines * Update CHANGELOG.md Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-12-17 13:45:02 +00:00
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
## [1.1.1] - 2020-12-15
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
### Added
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
- Add a notebook example to reach a quick baseline of ~94% accuracy on CIFAR10 using Resnet in Lightning ([#4818](https://github.com/PyTorchLightning/pytorch-lightning/pull/4818))
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
### Changed
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
- Simplify accelerator steps ([#5015](https://github.com/PyTorchLightning/pytorch-lightning/pull/5015))
- Refactor load in checkpoint connector ([#4593](https://github.com/PyTorchLightning/pytorch-lightning/pull/4593))
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- Fixed the saved filename in `ModelCheckpoint` when it already exists ([#4861](https://github.com/PyTorchLightning/pytorch-lightning/pull/4861))
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
### Removed
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
Prune CHANGELOG.md (#5151) * Prune CHANGELOG.md * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-12-15 22:58:28 +00:00
- Drop duplicate metrics ([#5014](https://github.com/PyTorchLightning/pytorch-lightning/pull/5014))
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
- Remove beta arg from F1 class and functional ([#5076](https://github.com/PyTorchLightning/pytorch-lightning/pull/5076))
Fix saved filename in ModelCheckpoint if it already exists (#4861) * disable version if not required * disable version if not required * pep * chlog * improve test * improve test * parametrize test and update del_list * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * try appending version to already saved ckpt_file * Revert "try appending version to already saved ckpt_file" This reverts commit 710e05e01f738d982aabf1f36c09fa59293e5c0c. * add more assertions * use BoringModel Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-16 05:40:33 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
### Fixed
Fix saved filename in ModelCheckpoint if it already exists (#4861) * disable version if not required * disable version if not required * pep * chlog * improve test * improve test * parametrize test and update del_list * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * try appending version to already saved ckpt_file * Revert "try appending version to already saved ckpt_file" This reverts commit 710e05e01f738d982aabf1f36c09fa59293e5c0c. * add more assertions * use BoringModel Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-16 05:40:33 +00:00
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
- Fixed trainer by default `None` in `DDPAccelerator` ([#4915](https://github.com/PyTorchLightning/pytorch-lightning/pull/4915))
- Fixed `LightningOptimizer` to expose optimizer attributes ([#5095](https://github.com/PyTorchLightning/pytorch-lightning/pull/5095))
simplify changelog (#5135)
2020-12-14 21:46:14 +00:00
- Do not warn when the `name` key is used in the `lr_scheduler` dict ([#5057](https://github.com/PyTorchLightning/pytorch-lightning/pull/5057))
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- Check if optimizer supports closure ([#4981](https://github.com/PyTorchLightning/pytorch-lightning/pull/4981))
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
- Add deprecated metric utility functions back to functional (
[#5067](https://github.com/PyTorchLightning/pytorch-lightning/pull/5067),
[#5068](https://github.com/PyTorchLightning/pytorch-lightning/pull/5068))
update chlog for future 1.1.3rc (#5242) * update chlog for future 1.1.3rc * prune Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> (cherry picked from commit 27f3f973d6c55aeeba7895f1b6111ce743e16725)
2020-12-23 16:21:16 +00:00
- Allow any input in `to_onnx` and `to_torchscript` ([#4378](https://github.com/PyTorchLightning/pytorch-lightning/pull/4378))
- Fixed `DDPHPCAccelerator` hangs in DDP construction by calling `init_device` ([#5157](https://github.com/PyTorchLightning/pytorch-lightning/pull/5157))
drop deprecated TrainResult (#5323) * drop TrainResult * . * . * . * . * . * .
2021-01-04 01:54:21 +00:00
Fix saved filename in ModelCheckpoint if it already exists (#4861) * disable version if not required * disable version if not required * pep * chlog * improve test * improve test * parametrize test and update del_list * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * try appending version to already saved ckpt_file * Revert "try appending version to already saved ckpt_file" This reverts commit 710e05e01f738d982aabf1f36c09fa59293e5c0c. * add more assertions * use BoringModel Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-16 05:40:33 +00:00
release 1.1.0 (#5048) * release 1.1.0 * pep8
2020-12-10 00:52:39 +00:00
## [1.1.0] - 2020-12-09
New section for changelog [ci skip] (#4279) * changelog * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-21 09:54:02 +00:00
### Added
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
- Added "monitor" key to saved `ModelCheckpoints` ([#4383](https://github.com/PyTorchLightning/pytorch-lightning/pull/4383))
- Added `ConfusionMatrix` class interface ([#4348](https://github.com/PyTorchLightning/pytorch-lightning/pull/4348))
[Metrics] Add multiclass auroc (#4236) * Add functional multiclass AUROC metric * Add multiclass_auroc tests * fixup! Add functional multiclass AUROC metric * fixup! fixup! Add functional multiclass AUROC metric * Add multiclass_auroc doc reference * Update CHANGELOG * formatting * Shorter error message regex match in tests * Set num classes as pytest parameter * formatting * Update CHANGELOG Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-10-30 18:56:13 +00:00
- Added multiclass AUROC metric ([#4236](https://github.com/PyTorchLightning/pytorch-lightning/pull/4236))
Avoid torchscript export for Metric forward (#4428) * Update metric.py * add test * Update CHANGELOG.md * Update test_metric_lightning.py * Update test_metric_lightning.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-03 22:02:02 +00:00
- Added global step indexing to the checkpoint name for a better sub-epoch checkpointing experience ([#3807](https://github.com/PyTorchLightning/pytorch-lightning/pull/3807))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
- Added optimizer hooks in callbacks ([#4379](https://github.com/PyTorchLightning/pytorch-lightning/pull/4379))
- Added option to log momentum ([#4384](https://github.com/PyTorchLightning/pytorch-lightning/pull/4384))
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
- Added `current_score` to `ModelCheckpoint.on_save_checkpoint` ([#4721](https://github.com/PyTorchLightning/pytorch-lightning/pull/4721))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Added logging using `self.log` in train and evaluation for epoch end hooks (
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
[#4552](https://github.com/PyTorchLightning/pytorch-lightning/pull/4552),
[#4495](https://github.com/PyTorchLightning/pytorch-lightning/pull/4495),
Update changelog, increment version (#5148)
2020-12-15 19:59:35 +00:00
[#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439),
[#4684](https://github.com/PyTorchLightning/pytorch-lightning/pull/4684),
update changelog (#4931)
2020-12-01 16:16:27 +00:00
[#4913](https://github.com/PyTorchLightning/pytorch-lightning/pull/4913))
Sharded Plugin 2/n: Allow ddp plugin to modify optimizer state saving (#4675) * Allow ddp plugin to modify optimizer state saving * Rely on the accelerator for optimizer states * Ensure we init the accelerator for the saving function * Better comment for optim state dump * Revert "Ensure we init the accelerator for the saving function" This reverts commit af65effa * Added accelerator check to initialize tuner before saving model checkpoint * Simplify comment * Revert "Added accelerator check to initialize tuner before saving model checkpoint" This reverts commit f9929c0c * Return single optimizer state to reduce duplication * Fixed docstring * Fixed typing * Fixed comment * Added CHANGELOG.md Co-authored-by: chaton <thomas@grid.ai>
2020-11-18 16:38:35 +00:00
- Added ability for DDP plugin to modify optimizer state saving ([#4675](https://github.com/PyTorchLightning/pytorch-lightning/pull/4675))
[Metrics] Unification of FBeta (#4656) * implementation * init files * more stable reduction * add tests * docs * remove old implementation * pep8 * changelog * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-11-23 08:44:35 +00:00
- Added `prefix` argument in loggers ([#4557](https://github.com/PyTorchLightning/pytorch-lightning/pull/4557))
Implemented ModelSummary total params values (#4521) * Implemented ModelSummary total params values Signed-off-by: George Corrêa de Araújo <george.gcac@gmail.com> * Fixed documentation, handling modules that are containers for other modules when calculating total params Signed-off-by: gca <george.gcac@gmail.com> * Reduced max line length, updated total number of params layout Signed-off-by: gca <george.gcac@gmail.com> * Now using only top-level modules of main module to calculate total params Signed-off-by: gca <george.gcac@gmail.com> * Added default value for named_modules param in summarize function Signed-off-by: gca <george.gcac@gmail.com> * Removed summary function params, removed unused properties Signed-off-by: gca <george.gcac@gmail.com> * Changed from np.prod(shape) to numel Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * changelog * Update pytorch_lightning/core/memory.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-11-22 06:07:52 +00:00
- Added printing of total num of params, trainable and non-trainable params in ModelSummary ([#4521](https://github.com/PyTorchLightning/pytorch-lightning/pull/4521))
[Metrics] PrecisionRecallCurve, ROC and AveragePrecision class interface (#4549) * initial changes * remove old * init files * add average precision * add precision_recall_curve * add roc * cleaning * docs * pep8 * docs * pep8 * changelog * examples prune duplicate roc * format * imports * fix * format * flake8 * duplicate * fix * flake8 * docs * docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2020-12-04 21:42:23 +00:00
- Added `PrecisionRecallCurve, ROC, AveragePrecision` class metric ([#4549](https://github.com/PyTorchLightning/pytorch-lightning/pull/4549))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Added custom `Apex` and `NativeAMP` as `Precision plugins` ([#4355](https://github.com/PyTorchLightning/pytorch-lightning/pull/4355))
- Added `DALI MNIST` example ([#3721](https://github.com/PyTorchLightning/pytorch-lightning/pull/3721))
- Added `sharded plugin` for DDP for multi-gpu training memory optimizations (
release 1.1.0 (#5048) * release 1.1.0 * pep8
2020-12-10 00:52:39 +00:00
[#4639](https://github.com/PyTorchLightning/pytorch-lightning/pull/4639),
[#4686](https://github.com/PyTorchLightning/pytorch-lightning/pull/4686),
[#4737](https://github.com/PyTorchLightning/pytorch-lightning/pull/4737),
[#4773](https://github.com/PyTorchLightning/pytorch-lightning/pull/4773))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Added `experiment_id` to the NeptuneLogger ([#3462](https://github.com/PyTorchLightning/pytorch-lightning/pull/3462))
- Added `Pytorch Geometric` integration example with Lightning ([#4568](https://github.com/PyTorchLightning/pytorch-lightning/pull/4568))
adding missing changelogs (#5019) * adding missing changelogs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-12-09 11:53:37 +00:00
- Added `all_gather` method to `LightningModule` which allows gradient based tensor synchronizations for use-cases such as negative sampling. ([#5012](https://github.com/PyTorchLightning/pytorch-lightning/pull/5012))
- Enabled `self.log` in most functions ([#4969](https://github.com/PyTorchLightning/pytorch-lightning/pull/4969))
- Added changeable extension variable for `ModelCheckpoint` ([#4977](https://github.com/PyTorchLightning/pytorch-lightning/pull/4977))
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Changed
Horovod: fixed early stopping and added metrics aggregation (#3775) * Fixed early stopping for Horovod * Refactored to sync_dist_if_available * Bump min Horovod version to support hvd.is_initialized * Changelog * Added back change for Horovod * Removed redundant checks for initialization * Implement metrics gathering for Horovod * Added test for EvalResult * Renamed ddp_sync_on_step -> dist_sync_on_step * Added metric test for Horovod * Added option pass callable allgather function to metric base class * Added dist_sync_fn * Fixed calls to private _sync_dist * Fixed Horovod test * Added sync_tensor to the distributed backend * Skip Windows * Insert test path * Removed redundant import * Updated drone * Unset HOROVOD_GPU_ALLREDUCE * Unset * No cache dir * No uninstall * Unset variables * Uninstall Horovod during initialization * Replaced more references to ddp_sync_on_step * Fixed imports * Fixed attribute * Added back default * Lint * Added back docstring * Made gather_all_tensors default * Added whitespace * Update tests/models/test_horovod.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/metric.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-05 17:52:02 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
- Tuner algorithms will be skipped if `fast_dev_run=True` ([#3903](https://github.com/PyTorchLightning/pytorch-lightning/pull/3903))
add back compatibility for deprecated metrics 1/n (#5067) * add back compatibility for metrics * tests * Add deprecated metric utility functions back to functional (#5062) * add back *deprecated* metric utility functions to functional * pep * pep * suggestions * move Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> * more * fix * import * docs * tests * fix Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-12-11 21:11:21 +00:00
- `WandbLogger` does not force wandb `reinit` arg to True anymore and creates a run only when needed ([#4648](https://github.com/PyTorchLightning/pytorch-lightning/pull/4648))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Changed `automatic_optimization` to be a model attribute ([#4602](https://github.com/PyTorchLightning/pytorch-lightning/pull/4602))
- Changed `Simple Profiler` report to order by percentage time spent + num calls ([#4880](https://github.com/PyTorchLightning/pytorch-lightning/pull/4880))
adding missing changelogs (#5019) * adding missing changelogs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-12-09 11:53:37 +00:00
- Simplify optimization Logic ([#4984](https://github.com/PyTorchLightning/pytorch-lightning/pull/4984))
- Classification metrics overhaul ([#4837](https://github.com/PyTorchLightning/pytorch-lightning/pull/4837))
release 1.1.0 (#5048) * release 1.1.0 * pep8
2020-12-10 00:52:39 +00:00
- Updated `fast_dev_run` to accept integer representing num_batches ([#4629](https://github.com/PyTorchLightning/pytorch-lightning/pull/4629))
- Refactored optimizer ([#4658](https://github.com/PyTorchLightning/pytorch-lightning/pull/4658))
adding missing changelogs (#5019) * adding missing changelogs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-12-09 11:53:37 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Deprecated
Deprecate prefix argument in ModelCheckpoint (#4765) * Deprecate prefix in ModelCheckpoint * chlog Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-21 12:38:42 +00:00
- Deprecated `prefix` argument in `ModelCheckpoint` ([#4765](https://github.com/PyTorchLightning/pytorch-lightning/pull/4765))
Deprecate auto mode from ModelCheckpoint and EarlyStopping (#4695) * remove auto mode from callbacks * chlog * remove auto mode from callbacks * mode * mode * move back * update docs * update docstrings * docstring warning * fix syntax * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * isort * default to 'auto' * syntax Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-12-04 15:11:58 +00:00
- Deprecated the old way of assigning hyper-parameters through `self.hparams = ...` ([#4813](https://github.com/PyTorchLightning/pytorch-lightning/pull/4813))
- Deprecated `mode='auto'` from `ModelCheckpoint` and `EarlyStopping` ([#4695](https://github.com/PyTorchLightning/pytorch-lightning/pull/4695))
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Removed
drop deprecated reorder from AUC (#5004) * drop deprecated reorder from AUC * chlog * fix * fix * simple * fix * fix * fix Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-09 18:05:12 +00:00
- Removed `reorder` parameter of the `auc` metric ([#5004](https://github.com/PyTorchLightning/pytorch-lightning/pull/5004))
add back compatibility for deprecated metrics 1/n (#5067) * add back compatibility for metrics * tests * Add deprecated metric utility functions back to functional (#5062) * add back *deprecated* metric utility functions to functional * pep * pep * suggestions * move Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> * more * fix * import * docs * tests * fix Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-12-11 21:11:21 +00:00
- Removed `multiclass_roc` and `multiclass_precision_recall_curve`, use `roc` and `precision_recall_curve` instead ([#4549](https://github.com/PyTorchLightning/pytorch-lightning/pull/4549))
drop deprecated reorder from AUC (#5004) * drop deprecated reorder from AUC * chlog * fix * fix * simple * fix * fix * fix Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-12-09 18:05:12 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Fixed
Tpu save (#4309) * convert xla tensor to cpu before save * move_to_cpu * updated CHANGELOG.md * added on_save to accelerators * if accelerator is not None * refactors * change filename to run test * run test_tpu_backend * added xla_device_utils to tests * added xla_device_utils to test * removed tests * Revert "added xla_device_utils to test" This reverts commit 0c9316bb * fixed pep * increase timeout and print traceback * lazy check tpu exists * increased timeout removed barrier for tpu during test reduced epochs * fixed torch_xla imports * fix tests * define xla utils * fix test * aval * chlog * docs * aval * Apply suggestions from code review Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-12-02 13:05:11 +00:00
- Added feature to move tensors to CPU before saving ([#4309](https://github.com/PyTorchLightning/pytorch-lightning/pull/4309))
Fix DP Logging Aggregation (#4138) * add option to step result to do aggregation on a specific device * in dp: do aggregation on root gpu * Update CHANGELOG.md * pep8 * trailing whitespace * move to root move result stupid result object revert to master undo import add "to" method to result generalize to try a test try a test Revert "try a test" This reverts commit 22e3c1001e6c5774ea18ad925830304c245bf145. Revert "try a test" This reverts commit 4d2d8fb2a52d552894809a0cbe51af126d78f070. new test max epochs super epoch end log in test hanging test undo test initial test that fails on master step end pass step end step end epoch end print step check dev clean up test sanity check wtf is go ing on frustration debugging test test test test test test test test test unused import * move chlog entry * clean * remove outdated changes Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka.borovec@seznam.cz>
2020-12-04 18:10:07 +00:00
- Fixed `LoggerConnector` to have logged metrics on root device in DP ([#4138](https://github.com/PyTorchLightning/pytorch-lightning/pull/4138))
Auto convert to contiguous format for all_gather (#4907) * convert memory format * changelog * formatting * suggestions * retrigger tests Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai>
2020-12-05 14:49:45 +00:00
- Auto convert tensors to contiguous format when `gather_all` ([#4907](https://github.com/PyTorchLightning/pytorch-lightning/pull/4907))
adding missing changelogs (#5019) * adding missing changelogs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-12-09 11:53:37 +00:00
- Fixed `PYTHONPATH` for ddp test model ([#4528](https://github.com/PyTorchLightning/pytorch-lightning/pull/4528))
- Fixed allowing logger to support indexing ([#4595](https://github.com/PyTorchLightning/pytorch-lightning/pull/4595))
- Fixed DDP and manual_optimization ([#4976](https://github.com/PyTorchLightning/pytorch-lightning/pull/4976))
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
## [1.0.8] - 2020-11-24
Cast hparams to dict when not using omegaconf (#4770) * init fix * init test * more specific dict assert * update changelog * Update tests/checkpointing/test_model_checkpoint.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-20 11:53:05 +00:00
### Added
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
- Added casting to python types for numpy scalars when logging `hparams` ([#4647](https://github.com/PyTorchLightning/pytorch-lightning/pull/4647))
- Added warning when progress bar refresh rate is less than 20 on Google Colab to prevent crashing ([#4654](https://github.com/PyTorchLightning/pytorch-lightning/pull/4654))
- Added `F1` class metric ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
Cast hparams to dict when not using omegaconf (#4770) * init fix * init test * more specific dict assert * update changelog * Update tests/checkpointing/test_model_checkpoint.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-20 11:53:05 +00:00
### Changed
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
- Consistently use `step=trainer.global_step` in `LearningRateMonitor` independently of `logging_interval` ([#4376](https://github.com/PyTorchLightning/pytorch-lightning/pull/4376))
- Metric states are no longer as default added to `state_dict` ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))
- Renamed class metric `Fbeta` >> `FBeta` ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
- Model summary: add 1 decimal place ([#4745](https://github.com/PyTorchLightning/pytorch-lightning/pull/4745))
- Do not override `PYTHONWARNINGS` ([#4700](https://github.com/PyTorchLightning/pytorch-lightning/pull/4700))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Changed `init_ddp_connection` moved from `DDP` to `DDPPlugin` ([#4407](https://github.com/PyTorchLightning/pytorch-lightning/pull/4407))
Cast hparams to dict when not using omegaconf (#4770) * init fix * init test * more specific dict assert * update changelog * Update tests/checkpointing/test_model_checkpoint.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-20 11:53:05 +00:00
### Fixed
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
- Fixed checkpoint `hparams` dict casting when `omegaconf` is available ([#4770](https://github.com/PyTorchLightning/pytorch-lightning/pull/4770))
fix incomplete progress bar when refresh_rate > num batches (#4577) * fix progress bar overshoot * fix updates for partially incomplete main progress bar when val loop starts * add tests * chlog
2020-11-23 23:01:33 +00:00
- Fixed incomplete progress bars when total batches not divisible by refresh rate ([#4577](https://github.com/PyTorchLightning/pytorch-lightning/pull/4577))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- Updated SSIM metric ([#4566](https://github.com/PyTorchLightning/pytorch-lightning/pull/4566))
update chlong after 1.0.8 (#4845)
2020-11-25 11:16:20 +00:00
- Fixed batch_arg_name - add `batch_arg_name` to all calls to `_adjust_batch_size`bug ([#4812](https://github.com/PyTorchLightning/pytorch-lightning/pull/4812))
- Fixed `torchtext` data to GPU ([#4785](https://github.com/PyTorchLightning/pytorch-lightning/pull/4785))
- Fixed a crash bug in MLFlow logger ([#4716](https://github.com/PyTorchLightning/pytorch-lightning/pull/4716))
Cast hparams to dict when not using omegaconf (#4770) * init fix * init test * more specific dict assert * update changelog * Update tests/checkpointing/test_model_checkpoint.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-20 11:53:05 +00:00
update chlog after 1.0.7 release (#4735)
2020-11-18 12:26:41 +00:00
## [1.0.7] - 2020-11-17
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Added
[bug-fix] DDP and automatic_optimization=False (#4485) * resolve bug * add self._running_manual_optim * update * update tests * update lightning module * resolve bug * update tests * update * resolve pep8 * update * replace by `ddp_spawn` * temporary fix * update * update * move update to training_loop * make both ddp_spawn * introduce `manual_optimizer_step` * update changelog * added changelog wrong place * add force_optimizer_step * update docstring for tests * update optimizer_step * update zero_grad * resolve flake8 * move update into manual_optimizer_step * add zero_grad * remove zero_grad tests * remove manual_backward in AMP, it doesn't help * update * loosen tests * update * update doc * add TODO * Removed unnecessary get model from native amp * Remove try except with pytest raise * Add seed, clean up imports, remove try catch to reproduce error * update code * update test * revert back * formatting * Update pytorch_lightning/core/lightning.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: SeanNaren <sean@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-10 19:44:51 +00:00
update chlog after 1.0.7 release (#4735)
2020-11-18 12:26:41 +00:00
- Added lambda closure to `manual_optimizer_step` ([#4618](https://github.com/PyTorchLightning/pytorch-lightning/pull/4618))
Metric ddp bugfix (#4482) * changes * fix spelling * small note * trying to fix ddp test * fix ddp * fix for test * suggestion * CHANGELOG * Update pytorch_lightning/metrics/metric.py Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Sean Naren <sean@grid.ai>
2020-11-10 08:16:31 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
### Changed
enable ddp as a plugin (#4285) * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin * enable custom ddp plugin Co-authored-by: chaton <thomas@grid.ai>
2020-10-22 09:15:51 +00:00
update chlog after 1.0.7 release (#4735)
2020-11-18 12:26:41 +00:00
- Change Metrics `persistent` default mode to `False` ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))
[bugfix] Accumulated_gradient and TensoBoard (#4738) * resolve bug * update * update * modify one test * remove paramters * update on comments * update changelog * update docstring Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-11-25 19:44:05 +00:00
- LoggerConnector log_metrics will use `total_batch_idx` instead of `global_step` when logging on `training step` ([#4738](https://github.com/PyTorchLightning/pytorch-lightning/pull/4738))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
### Fixed
update chlog after 1.0.7 release (#4735)
2020-11-18 12:26:41 +00:00
- Prevent crash if `sync_dist=True` on CPU ([#4626](https://github.com/PyTorchLightning/pytorch-lightning/pull/4626))
- Fixed average pbar Metrics ([#4534](https://github.com/PyTorchLightning/pytorch-lightning/pull/4534))
- Fixed `setup` callback hook to correctly pass the LightningModule through ([#4608](https://github.com/PyTorchLightning/pytorch-lightning/pull/4608))
- Allowing decorate model init with saving `hparams` inside ([#4662](https://github.com/PyTorchLightning/pytorch-lightning/pull/4662))
- Fixed `split_idx` set by `LoggerConnector` in `on_trainer_init` to `Trainer` ([#4697](https://github.com/PyTorchLightning/pytorch-lightning/pull/4697))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
Metric ddp bugfix (#4482) * changes * fix spelling * small note * trying to fix ddp test * fix ddp * fix for test * suggestion * CHANGELOG * Update pytorch_lightning/metrics/metric.py Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Sean Naren <sean@grid.ai>
2020-11-10 08:16:31 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
## [1.0.6] - 2020-11-11
Metric ddp bugfix (#4482) * changes * fix spelling * small note * trying to fix ddp test * fix ddp * fix for test * suggestion * CHANGELOG * Update pytorch_lightning/metrics/metric.py Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Sean Naren <sean@grid.ai>
2020-11-10 08:16:31 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Added
[metrics] change default behaviour of state dict (#4685) * fix state dict * Update docs/source/metrics.rst Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * changelog Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: chaton <thomas@grid.ai>
2020-11-16 12:33:45 +00:00
- Added metrics aggregation in Horovod and fixed early stopping ([#3775](https://github.com/PyTorchLightning/pytorch-lightning/pull/3775))
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
- Added `manual_optimizer_step` which work with `AMP Native` and `accumulated_grad_batches` ([#4485](https://github.com/PyTorchLightning/pytorch-lightning/pull/4485))
- Added `persistent(mode)` method to metrics, to enable and disable metric states being added to `state_dict` ([#4482](https://github.com/PyTorchLightning/pytorch-lightning/pull/4482))
- Added congratulations at the end of our notebooks ([#4555](https://github.com/PyTorchLightning/pytorch-lightning/pull/4555))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Added parameters `move_metrics_to_cpu` in Trainer to disable gpu leak ([#4592](https://github.com/PyTorchLightning/pytorch-lightning/pull/4592))
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
### Changed
- Changed `fsspec` to tuner ([#4458](https://github.com/PyTorchLightning/pytorch-lightning/pull/4458))
- Unify SLURM/TorchElastic under backend plugin ([#4578](https://github.com/PyTorchLightning/pytorch-lightning/pull/4578),
[#4580](https://github.com/PyTorchLightning/pytorch-lightning/pull/4580),
[#4581](https://github.com/PyTorchLightning/pytorch-lightning/pull/4581),
[#4582](https://github.com/PyTorchLightning/pytorch-lightning/pull/4582),
[#4583](https://github.com/PyTorchLightning/pytorch-lightning/pull/4583))
### Fixed
Metric ddp bugfix (#4482) * changes * fix spelling * small note * trying to fix ddp test * fix ddp * fix for test * suggestion * CHANGELOG * Update pytorch_lightning/metrics/metric.py Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Sean Naren <sean@grid.ai>
2020-11-10 08:16:31 +00:00
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
- Fixed feature-lack in `hpc_load` ([#4526](https://github.com/PyTorchLightning/pytorch-lightning/pull/4526))
- Fixed metrics states being overridden in DDP mode ([#4482](https://github.com/PyTorchLightning/pytorch-lightning/pull/4482))
Find parameters which are specified in the LightningDataModule, only (#4347) * search for attribute in datamodule if not found elsewhere * add test for datamodule * add lightning_getattr test for datamodule * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-11-10 13:01:20 +00:00
- Fixed `lightning_getattr`, `lightning_hasattr` not finding the correct attributes in datamodule ([#4347](https://github.com/PyTorchLightning/pytorch-lightning/pull/4347))
update changelog after 1.0.6 (#4624) * update changelog after 1.0.6 * fix formatting
2020-11-12 08:21:57 +00:00
- Fixed automatic optimization AMP by `manual_optimization_step` ([#4485](https://github.com/PyTorchLightning/pytorch-lightning/pull/4485))
- Replace `MisconfigurationException` with warning in `ModelCheckpoint` Callback ([#4560](https://github.com/PyTorchLightning/pytorch-lightning/pull/4560))
- Fixed logged keys in mlflow logger ([#4412](https://github.com/PyTorchLightning/pytorch-lightning/pull/4412))
- Fixed `is_picklable` by catching `AttributeError` ([#4508](https://github.com/PyTorchLightning/pytorch-lightning/pull/4508))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Fixed multi test dataloaders dict `AttributeError` error ([#4480](https://github.com/PyTorchLightning/pytorch-lightning/pull/4480))
- Fixed show progress bar only for `progress_rank 0` on `DDP_SLURM` ([#4437](https://github.com/PyTorchLightning/pytorch-lightning/pull/4437))
Find parameters which are specified in the LightningDataModule, only (#4347) * search for attribute in datamodule if not found elsewhere * add test for datamodule * add lightning_getattr test for datamodule * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-11-10 13:01:20 +00:00
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
## [1.0.5] - 2020-11-03
### Added
- Added PyTorch 1.7 Stable support ([#3821](https://github.com/PyTorchLightning/pytorch-lightning/pull/3821))
- Added timeout for `tpu_device_exists` to ensure process does not hang indefinitely ([#4340](https://github.com/PyTorchLightning/pytorch-lightning/pull/4340))
### Changed
- W&B log in sync with `Trainer` step ([#4405](https://github.com/PyTorchLightning/pytorch-lightning/pull/4405))
- Hook `on_after_backward` is called only when `optimizer_step` is being called ([#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439))
[BUGFIX] AMP + Precision unscale grad (#4441) * move unscale within Native plugin * remove gradient tracking from lightning backward * forgot trainer.fit * typo * update * cleanup * set to 1.6 * typo * skip if below 1.6 strict * update changelog * remove useless code * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * update changelog * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
2020-11-02 16:36:48 +00:00
- Moved `track_and_norm_grad` into `training loop` and called only when `optimizer_step` is being called ([#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
- Changed type checker with explicit cast of `ref_model` object ([#4457](https://github.com/PyTorchLightning/pytorch-lightning/pull/4457))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Changed `distributed_backend` -> `accelerator` ([#4429](https://github.com/PyTorchLightning/pytorch-lightning/pull/4429))
[BUGFIX] AMP + Precision unscale grad (#4441) * move unscale within Native plugin * remove gradient tracking from lightning backward * forgot trainer.fit * typo * update * cleanup * set to 1.6 * typo * skip if below 1.6 strict * update changelog * remove useless code * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * update changelog * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
2020-11-02 16:36:48 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
### Deprecated
New section for changelog [ci skip] (#4279) * changelog * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-21 09:54:02 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
- Deprecated passing `ModelCheckpoint` instance to `checkpoint_callback` Trainer argument ([#4336](https://github.com/PyTorchLightning/pytorch-lightning/pull/4336))
BUG - Wandb: Sanitize callable. (#4320) * add _sanitize_callable_params * add call on _val if callable * clean code formatter * resolve pep8 * default return function name * resolve pep8 * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-26 11:57:03 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
### Fixed
BUG - Wandb: Sanitize callable. (#4320) * add _sanitize_callable_params * add call on _val if callable * clean code formatter * resolve pep8 * default return function name * resolve pep8 * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-26 11:57:03 +00:00
Disable saving checkpoints if not trained (#4372) * Disable saving checkpoints if not trained * chlog * update test * fix Co-authored-by: chaton <thomas@grid.ai>
2020-11-03 06:08:32 +00:00
- Disable saving checkpoints if not trained ([#4372](https://github.com/PyTorchLightning/pytorch-lightning/pull/4372))
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
- Fixed error using `auto_select_gpus=True` with `gpus=-1` ([#4209](https://github.com/PyTorchLightning/pytorch-lightning/pull/4209))
Disable training when limit_train_batches=0 (#4371) * Disable training when limit_train_batches=0 * chlog * pep * limit_train_batches * BoringModel Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-11-03 06:40:35 +00:00
- Disabled training when `limit_train_batches=0` ([#4371](https://github.com/PyTorchLightning/pytorch-lightning/pull/4371))
[Metrics] Detach bugfix (#4313) * detach on buffer * doc update * remove file * changelog * suggestions * Update docs/source/metrics.rst Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * fix for 4266 * Update docs/source/metrics.rst Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md Co-authored-by: Teddy Koker <teddy.koker@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-11-02 19:44:49 +00:00
- Fixed that metrics do not store computational graph for all seen data ([#4313](https://github.com/PyTorchLightning/pytorch-lightning/pull/4313))
[BUGFIX] AMP + Precision unscale grad (#4441) * move unscale within Native plugin * remove gradient tracking from lightning backward * forgot trainer.fit * typo * update * cleanup * set to 1.6 * typo * skip if below 1.6 strict * update changelog * remove useless code * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * Update tests/plugins/test_amp_plugin.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> * update changelog * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jeff Yang <ydcjeff@outlook.com>
2020-11-02 16:36:48 +00:00
- Fixed AMP unscale for `on_after_backward` ([#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439))
Avoid torchscript export for Metric forward (#4428) * Update metric.py * add test * Update CHANGELOG.md * Update test_metric_lightning.py * Update test_metric_lightning.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-11-03 22:02:02 +00:00
- Fixed TorchScript export when module includes Metrics ([#4428](https://github.com/PyTorchLightning/pytorch-lightning/pull/4428))
Missing TorchScript trace's update (#4586) Co-authored-by: stef-ubuntu <stef@webempath.com> Co-authored-by: Jeff Yang <ydcjeff@outlook.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-11-09 14:01:13 +00:00
- Fixed TorchScript trace method's data to device and docstring ([#4360](https://github.com/PyTorchLightning/pytorch-lightning/pull/4360))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
- Fixed CSV logger warning ([#4419](https://github.com/PyTorchLightning/pytorch-lightning/pull/4419))
- Fixed skip DDP parameter sync ([#4301](https://github.com/PyTorchLightning/pytorch-lightning/pull/4301))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Fixed `WandbLogger` _sanitize_callable function ([#4422](https://github.com/PyTorchLightning/pytorch-lightning/pull/4422))
- Fixed `AMP Native` `_unscale` gradient ([#4441](https://github.com/PyTorchLightning/pytorch-lightning/pull/4441))
Disable training when limit_train_batches=0 (#4371) * Disable training when limit_train_batches=0 * chlog * pep * limit_train_batches * BoringModel Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
2020-11-03 06:40:35 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
## [1.0.4] - 2020-10-27
### Added
get help from docstring (#4344) * Add geting help message from docstring * Fix pep8 issue * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * 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: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-10-26 18:08:58 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
- Added `dirpath` and `filename` parameter in `ModelCheckpoint` ([#4213](https://github.com/PyTorchLightning/pytorch-lightning/pull/4213))
- Added plugins docs and DDPPlugin to customize ddp across all accelerators ([#4258](https://github.com/PyTorchLightning/pytorch-lightning/pull/4285))
- Added `strict` option to the scheduler dictionary ([#3586](https://github.com/PyTorchLightning/pytorch-lightning/pull/3586))
- Added `fsspec` support for profilers ([#4162](https://github.com/PyTorchLightning/pytorch-lightning/pull/4162))
- Added autogenerated helptext to `Trainer.add_argparse_args` ([#4344](https://github.com/PyTorchLightning/pytorch-lightning/pull/4344))
- Added support for string values in `Trainer`'s `profiler` parameter ([#3656](https://github.com/PyTorchLightning/pytorch-lightning/pull/3656))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Added `optimizer_closure` to `optimizer.step` when supported ([#4190](https://github.com/PyTorchLightning/pytorch-lightning/pull/4190))
- Added unification of regression metrics ([#4166](https://github.com/PyTorchLightning/pytorch-lightning/pull/4166))
- Added checkpoint load from Bytes ([#4314](https://github.com/PyTorchLightning/pytorch-lightning/pull/4314))
New section for changelog [ci skip] (#4279) * changelog * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-21 09:54:02 +00:00
[Changelog] 1.0.4 (#4440) * changelog 1.0.4 * changelog 1.0.4
2020-10-30 13:34:29 +00:00
### Changed
BUG - Wandb: Sanitize callable. (#4320) * add _sanitize_callable_params * add call on _val if callable * clean code formatter * resolve pep8 * default return function name * resolve pep8 * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-26 11:57:03 +00:00
Clean up optimizer code (#3587) * Update optimizer code * Update CHANGELOG * Fix tuple of one list case * Update docs * Fix pep issue * Minor typo [skip-ci] * Use minimal match Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-21 19:12:48 +00:00
- Improved error messages for invalid `configure_optimizers` returns ([#3587](https://github.com/PyTorchLightning/pytorch-lightning/pull/3587))
Allow changing the logged step value in validation_step (#4130) * Fix to bug identified in https://github.com/PyTorchLightning/pytorch-lightning/issues/4102 * update tests * chlog Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-10-21 21:33:07 +00:00
- Allow changing the logged step value in `validation_step` ([#4130](https://github.com/PyTorchLightning/pytorch-lightning/pull/4130))
Skip replacing dataloader sampler if it's already a distributed sampler (#4273) * Update data_loading.py * Update data_loading.py * add test + update flag description * add to changelog * Update test_dataloaders.py * fix-pickle * Update test_dataloaders.py * Added missing reference calls * Update tests/trainer/test_dataloaders.py * Apply suggestions from code review * Update data_loading.py * Update test_dataloaders.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-23 16:34:07 +00:00
- Allow setting `replace_sampler_ddp=True` with a distributed sampler already added ([#4273](https://github.com/PyTorchLightning/pytorch-lightning/pull/4273))
BUG - Wandb: Sanitize callable. (#4320) * add _sanitize_callable_params * add call on _val if callable * clean code formatter * resolve pep8 * default return function name * resolve pep8 * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-26 11:57:03 +00:00
- Fixed santized parameters for `WandbLogger.log_hyperparams` ([#4320](https://github.com/PyTorchLightning/pytorch-lightning/pull/4320))
New section for changelog [ci skip] (#4279) * changelog * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-21 09:54:02 +00:00
### Deprecated
Add dirpath and filename parameter in ModelCheckpoint (#4213) * Add dirpath and filename parameter in ModelCheckpoint * remove old function * chlog * codefactor * update tests * docs * fix doctest and added tests * pathlib dirpath * dep version and docs * try fix doctest * pep * suggestions Co-authored-by: carmocca <carlossmocholi@gmail.com> * suggestions * fix test * pep * trigger tests * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * suggestions * try fix windows test * add and update some tests * trigger tests * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-10-23 04:29:12 +00:00
- Deprecated `filepath` in `ModelCheckpoint` ([#4213](https://github.com/PyTorchLightning/pytorch-lightning/pull/4213))
[Metrics] Fix/4237 auc unstable reorder (#4281) * =Add deprecation warning for auc reorder * =Add test for deprecation warning for auc reorder * Update CHANGELOG * Add reorder deprecation warning to auc docstring * Fix pep8 f-string error * remove duplicate import Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-10-25 09:26:40 +00:00
- Deprecated `reorder` parameter of the `auc` metric ([#4237](https://github.com/PyTorchLightning/pytorch-lightning/pull/4237))
feature: Allow str arguments in Trainer.profiler (#3656) * allow trainer's profiler param to have a str value * add tests * update docs * update exception message * Update CHANGELOG * fix pep8 issues * cleanup test code Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Add deprecation warning if using bool for profiler * Add deprecation tests and move deprecated tests * Remove bool option to profiler from docs * Deprecate bool args to profiler in CHANGELOG * fixup! Add deprecation warning if using bool for profiler * fixup! Add deprecation tests and move deprecated tests * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Implement suggestions, remove whitespace * fixup! Implement suggestions, remove whitespace * Allow bool, str (case insensitive), BaseProfiler * Add info about bool deprecation to trainer * fixup! Add info about bool deprecation to trainer * Move deprecate todo to test_deprecated * Test wrong profiler type, improve error message * fixup! Test wrong profiler type, improve error message * Update pytorch_lightning/trainer/connectors/profiler_connector.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Apply suggestions from code review * Readd bool to profiler types, test cli profiler arg * Remove extra whitespace in doc Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update deprecation versions Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-27 10:57:16 +00:00
- Deprecated bool values in `Trainer`'s `profiler` parameter ([#3656](https://github.com/PyTorchLightning/pytorch-lightning/pull/3656))
New section for changelog [ci skip] (#4279) * changelog * Apply suggestions from code review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-21 09:54:02 +00:00
### Fixed
Set correct device ids in DDP [wip] (#4297) * repro debug c d dd d d d ads d d d f rank f v d d d d d d d d d d d set drop PL_DDP_PID clean up keep set gpus revert Revert "drop PL_DDP_PID" This reverts commit 7d88cae469541ef19128f9c20919fd3a6f863039. d pid gpus clean up clean up misconfig? misconfig clean clean * fix pep * changelog * remove script Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-10-24 21:33:47 +00:00
- Fixed setting device ids in DDP ([#4297](https://github.com/PyTorchLightning/pytorch-lightning/pull/4297))
Bug/4319 ddp checkpoint (#4323) * Broadcast best model path to ensure we sync with main process + wait for main process to save * Add barrier call to ensure all processes are in sync * Added changelog commit * Move sync of best model path/score to model checkpoint, keep barrier to ensure all processes complete * Ensure we broadcast as tuple * Add init check * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Removed model checkpoint code, added barrier to trainer to enforce we syncronize and wait for all processes to finish before completing training * Add barrier within teardown call, removed horovod teardown to inherit from base accelerator Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2020-10-24 20:55:49 +00:00
- Fixed synchronization of best model path in `ddp_accelerator` ([#4323](https://github.com/PyTorchLightning/pytorch-lightning/pull/4323))
update changelog after 1.0.5 (#4505) * update changelog * update Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-11-04 20:56:47 +00:00
- Fixed `WandbLogger` not uploading checkpoint artifacts at the end of training ([#4341](https://github.com/PyTorchLightning/pytorch-lightning/pull/4341))
update changelog (#4931)
2020-12-01 16:16:27 +00:00
- Fixed `FBeta` computation ([#4183](https://github.com/PyTorchLightning/pytorch-lightning/pull/4183))
- Fixed `accumulation across batches` has completed `before breaking training loop` ([#4278](https://github.com/PyTorchLightning/pytorch-lightning/pull/4278))
- Fixed `ModelCheckpoint` don't increase current_epoch and global_step when not training ([#4291](https://github.com/PyTorchLightning/pytorch-lightning/pull/4291))
- Fixed `COMET_EXPERIMENT_KEY` environment variable usage in comet logger ([#4230](https://github.com/PyTorchLightning/pytorch-lightning/pull/4230))
Implement finalize for WandbLogger (#4341) * wandb finish * experiment * upload at end of run * changelog * comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com>
2020-10-26 11:22:09 +00:00
Docs/changelog for 1.0.3 (#4267) * formatting * miss * missing & ver++ * path
2020-10-20 22:53:10 +00:00
## [1.0.3] - 2020-10-20
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Added
Disable saving checkpoints if not trained (#4372) * Disable saving checkpoints if not trained * chlog * update test * fix Co-authored-by: chaton <thomas@grid.ai>
2020-11-03 06:08:32 +00:00
Docs/changelog for 1.0.3 (#4267) * formatting * miss * missing & ver++ * path
2020-10-20 22:53:10 +00:00
- Added persistent flag to `Metric.add_state` ([#4195](https://github.com/PyTorchLightning/pytorch-lightning/pull/4195))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
new log section [skip ci] (#4121) * new logs * formatting * 1.0.1
2020-10-14 17:13:37 +00:00
### Changed
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
Docs/changelog for 1.0.3 (#4267) * formatting * miss * missing & ver++ * path
2020-10-20 22:53:10 +00:00
- Used `checkpoint_connector.hpc_save` in SLURM ([#4217](https://github.com/PyTorchLightning/pytorch-lightning/pull/4217))
- Moved base req. to root ([#4219](https://github.com/PyTorchLightning/pytorch-lightning/pull/4219))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
new log section [skip ci] (#4121) * new logs * formatting * 1.0.1
2020-10-14 17:13:37 +00:00
### Fixed
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
Docs/changelog for 1.0.3 (#4267) * formatting * miss * missing & ver++ * path
2020-10-20 22:53:10 +00:00
- Fixed `hparams` assign in init ([#4189](https://github.com/PyTorchLightning/pytorch-lightning/pull/4189))
- Fixed overwrite check for model hooks ([#4010](https://github.com/PyTorchLightning/pytorch-lightning/pull/4010))
save initial arguments (#4163) * save initial arguments * typing * chlog * .
2020-10-15 12:30:49 +00:00
update chlog (#4177)
2020-10-15 15:42:10 +00:00
## [1.0.2] - 2020-10-15
### Added
- Added trace functionality to the function `to_torchscript` ([#4142](https://github.com/PyTorchLightning/pytorch-lightning/pull/4142))
### Changed
- Called `on_load_checkpoint` before loading `state_dict` ([#4057](https://github.com/PyTorchLightning/pytorch-lightning/pull/4057))
### Removed
- Removed duplicate metric vs step log for train loop ([#4173](https://github.com/PyTorchLightning/pytorch-lightning/pull/4173))
### Fixed
Docs/changelog for 1.0.3 (#4267) * formatting * miss * missing & ver++ * path
2020-10-20 22:53:10 +00:00
- Fixed the `self.log` problem in `validation_step()` ([#4169](https://github.com/PyTorchLightning/pytorch-lightning/pull/4169))
update chlog (#4177)
2020-10-15 15:42:10 +00:00
- Fixed `hparams` saving - save the state when `save_hyperparameters()` is called [in `__init__`] ([#4163](https://github.com/PyTorchLightning/pytorch-lightning/pull/4163))
Bugfix/4156 filter hparams for yaml - fsspec (#4158) * add test * fix * sleepy boy * chlog * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com>
2020-10-15 14:53:42 +00:00
- Fixed runtime failure while exporting `hparams` to yaml ([#4158](https://github.com/PyTorchLightning/pytorch-lightning/pull/4158))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
new log section [skip ci] (#4121) * new logs * formatting * 1.0.1
2020-10-14 17:13:37 +00:00
## [1.0.1] - 2020-10-14
### Added
- Added getstate/setstate method for torch.save serialization ([#4127](https://github.com/PyTorchLightning/pytorch-lightning/pull/4127))
## [1.0.0] - 2020-10-13
### Added
- Added Explained Variance Metric + metric fix ([#4013](https://github.com/PyTorchLightning/pytorch-lightning/pull/4013))
- Added Metric <-> Lightning Module integration tests ([#4008](https://github.com/PyTorchLightning/pytorch-lightning/pull/4008))
- Added parsing OS env vars in `Trainer` ([#4022](https://github.com/PyTorchLightning/pytorch-lightning/pull/4022))
- Added classification metrics ([#4043](https://github.com/PyTorchLightning/pytorch-lightning/pull/4043))
- Updated explained variance metric ([#4024](https://github.com/PyTorchLightning/pytorch-lightning/pull/4024))
- Enabled plugins ([#4041](https://github.com/PyTorchLightning/pytorch-lightning/pull/4041))
- Enabled custom clusters ([#4048](https://github.com/PyTorchLightning/pytorch-lightning/pull/4048))
- Enabled passing in custom accelerators ([#4050](https://github.com/PyTorchLightning/pytorch-lightning/pull/4050))
- Added `LightningModule.toggle_optimizer` ([#4058](https://github.com/PyTorchLightning/pytorch-lightning/pull/4058))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
- Added `LightningModule.manual_backward` ([#4063](https://github.com/PyTorchLightning/pytorch-lightning/pull/4063))
Fix 1.0.0 changelog (#4180)
2020-10-15 18:36:54 +00:00
- Added `output` argument to `*_batch_end` hooks ([#3965](https://github.com/PyTorchLightning/pytorch-lightning/pull/3965),
[#3966](https://github.com/PyTorchLightning/pytorch-lightning/pull/3966))
- Added `output` argument to `*_epoch_end` hooks ([#3967](https://github.com/PyTorchLightning/pytorch-lightning/pull/3967))
revamp entire metrics (#3868) * removed metric Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * added new metrics Co-authored-by: Teddy Koker teddy.koker@gmail.com * pep8 Co-authored-by: Teddy Koker teddy.koker@gmail.com * pep8 Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * win ddp tests skip Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * reset in compute, cache compute Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * reduce_ops handling Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * sync -> sync_dist, type annotations Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * wip docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * mean squared error * docstring * added mean ___ error metrics * added mean ___ error metrics * seperated files * accuracy doctest * gpu fix * remove unnecessary mixin * metric and accuracy docstring Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * metric docs Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * pep8, changelog Co-authored-by: Teddy Koker <teddy.koker@gmail.com> * refactor dist utils, pep8 * refactor dist utils, pep8 Co-authored-by: Teddy Koker <teddy.koker@gmail.com>
2020-10-06 21:03:24 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Changed
Enable PyTorch 1.7 in conda CI (#3541) * enable pt 1.7 * readme * nightly diff version testing, will delete later * nightly diff version testing, will delete later * back to normal [ci skip] * use __ignored_properties__ * define __ignored_properties__ in respective modules * change log * formatting Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-09-25 14:20:15 +00:00
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
- Integrated metrics API with self.log ([#3961](https://github.com/PyTorchLightning/pytorch-lightning/pull/3961))
Fix 1.0.0 changelog (#4180)
2020-10-15 18:36:54 +00:00
- Decoupled Apex ([#4052](https://github.com/PyTorchLightning/pytorch-lightning/pull/4052),
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
[#4054](https://github.com/PyTorchLightning/pytorch-lightning/pull/4054),
[#4055](https://github.com/PyTorchLightning/pytorch-lightning/pull/4055),
[#4056](https://github.com/PyTorchLightning/pytorch-lightning/pull/4056),
[#4058](https://github.com/PyTorchLightning/pytorch-lightning/pull/4058),
[#4060](https://github.com/PyTorchLightning/pytorch-lightning/pull/4060),
[#4061](https://github.com/PyTorchLightning/pytorch-lightning/pull/4061),
[#4062](https://github.com/PyTorchLightning/pytorch-lightning/pull/4062),
[#4063](https://github.com/PyTorchLightning/pytorch-lightning/pull/4063),
[#4064](https://github.com/PyTorchLightning/pytorch-lightning/pull/4064),
[#4065](https://github.com/PyTorchLightning/pytorch-lightning/pull/4065))
- Renamed all backends to `Accelerator` ([#4066](https://github.com/PyTorchLightning/pytorch-lightning/pull/4066))
- Enabled manual returns ([#4089](https://github.com/PyTorchLightning/pytorch-lightning/pull/4089))
to_torchscript method for LightningModule (#3258) * script * docs * simple test * move test * fix doctest * no grad context * extend tests test test * datamodule test * clean up test * docs * name * fix import * update changelog * fix import * skip pytorch 1.3 in test * update codeblock * skip bugged 1.4 * typehints * doctest not working on all pytorch versions * rename TestGAN to prevent pytest interference * add note about pytorch version * fix torchscript version inconsistency in tests * reset training state + tests * update docstring * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * update docstring, dict return * add docs to index * add link * doc eval mode * forward * optional save to file path * optional * test torchscript device * test save load with file path * pep * str * Commit typing suggestion Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * skip test if cuda not available Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com>
2020-09-03 18:24:44 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Removed
[Metrics] Class reduction similar to sklearn (#3322) * new class reduce interface * update docs * pep8 * update_class_metrics * fix doctest * changelog * fix docs * fix codefactor * fix codefactor * formatting * fix typo * fix typo * typo pr -> per * update from suggestion * fix error * Apply suggestions from code review * Update CHANGELOG.md * formatting * timeouts * docstring formatting for reg metrics * pep * flake8 * revert workflow changes * suggestions Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-15 12:36:14 +00:00
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
- Removed support for EvalResult and TrainResult ([#3968](https://github.com/PyTorchLightning/pytorch-lightning/pull/3968))
- Removed deprecated trainer flags: `overfit_pct`, `log_save_interval`, `row_log_interval` ([#3969](https://github.com/PyTorchLightning/pytorch-lightning/pull/3969))
- Removed deprecated early_stop_callback ([#3982](https://github.com/PyTorchLightning/pytorch-lightning/pull/3982))
- Removed deprecated model hooks ([#3980](https://github.com/PyTorchLightning/pytorch-lightning/pull/3980))
- Removed deprecated callbacks ([#3979](https://github.com/PyTorchLightning/pytorch-lightning/pull/3979))
- Removed `trainer` argument in `LightningModule.backward` [#4056](https://github.com/PyTorchLightning/pytorch-lightning/pull/4056))
Allow ModelCheckpoint monitor to be None (#3633) * Fix ModelCheckpoint period * Test for less epochs
2020-09-25 13:54:04 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Fixed
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
new log section [skip ci] (#4121) * new logs * formatting * 1.0.1
2020-10-14 17:13:37 +00:00
- Fixed `current_epoch` property update to reflect true epoch number inside `LightningDataModule`, when `reload_dataloaders_every_epoch=True`. ([#3974](https://github.com/PyTorchLightning/pytorch-lightning/pull/3974))
Skip replacing dataloader sampler if it's already a distributed sampler (#4273) * Update data_loading.py * Update data_loading.py * add test + update flag description * add to changelog * Update test_dataloaders.py * fix-pickle * Update test_dataloaders.py * Added missing reference calls * Update tests/trainer/test_dataloaders.py * Apply suggestions from code review * Update data_loading.py * Update test_dataloaders.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-23 16:34:07 +00:00
- Fixed to print scaler value in progress bar ([#4053](https://github.com/PyTorchLightning/pytorch-lightning/pull/4053))
new log section [skip ci] (#4121) * new logs * formatting * 1.0.1
2020-10-14 17:13:37 +00:00
- Fixed mismatch between docstring and code regarding when `on_load_checkpoint` hook is called ([#3996](https://github.com/PyTorchLightning/pytorch-lightning/pull/3996))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
Support checkpoint hooks on data module (#3563) * Split out changes from #3563 to make that PR easier to review. This formats the file according to the Black formatter * Store a reference to the trainer on the datamodule Fixes #3682 * Update data_connector.py * Update data_connector.py * Update test_datamodules.py * Split out changes from #3563 to make that PR easier to review. This formats the file according to the Black formatter * support checkpoint hooks for datamodule refactor on_{save/load}_checkpoint to a separate hook class that both the lightning module and data module inherit add spots in callback connector to call new datamodule hooks if available * hooks formatting * Update hooks.py * Update checkpoint_connector.py * Update lightning.py * update based on upstream/master checkout upstream/master * Update checkpoint_connector.py * add tests * undo format revert * Updated CHANGELOG.md * add checkpoint hooks * add Dict type * import CheckpointHooks
2020-09-29 17:51:44 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
## [0.10.0] - 2020-10-07
Add datamodule parameter to lr_find() (#3425) * Add datamodule parameter to lr_find() * Fixed missing import * Move datamodule parameter to end * Add datamodule parameter test with auto_lr_find * Change test for datamodule parameter * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * Fix lr_find documentation Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * formatting * Add description to datamodule param in lr_find * pep8: remove trailing whitespace on line 105 * added changelog Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-01 08:33:12 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
### Added
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
- Added new Metrics API. ([#3868](https://github.com/PyTorchLightning/pytorch-lightning/pull/3868), [#3921](https://github.com/PyTorchLightning/pytorch-lightning/pull/3921))
- Enable PyTorch 1.7 compatibility ([#3541](https://github.com/PyTorchLightning/pytorch-lightning/pull/3541))
chlogs for 1.0 [skip ci] (#3978) * chlogs * logs * space * date * logs * logs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * logs * logs Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-13 10:52:11 +00:00
- Added `LightningModule.to_torchscript` to support exporting as `ScriptModule` ([#3258](https://github.com/PyTorchLightning/pytorch-lightning/pull/3258))
new chlog template (#3963)
2020-10-08 00:42:24 +00:00
- Added warning when dropping unpicklable `hparams` ([#2874](https://github.com/PyTorchLightning/pytorch-lightning/pull/2874))
- Added EMB similarity ([#3349](https://github.com/PyTorchLightning/pytorch-lightning/pull/3349))
- Added `ModelCheckpoint.to_yaml` method ([#3048](https://github.com/PyTorchLightning/pytorch-lightning/pull/3048))
- Allow `ModelCheckpoint` monitor to be `None`, meaning it will always save ([#3630](https://github.com/PyTorchLightning/pytorch-lightning/pull/3630))
- Disabled optimizers setup during testing ([#3059](https://github.com/PyTorchLightning/pytorch-lightning/pull/3059))
- Added support for datamodules to save and load checkpoints when training ([#3563](https://github.com/PyTorchLightning/pytorch-lightning/pull/3563))
- Added support for datamodule in learning rate finder ([#3425](https://github.com/PyTorchLightning/pytorch-lightning/pull/3425))
- Added gradient clip test for native AMP ([#3754](https://github.com/PyTorchLightning/pytorch-lightning/pull/3754))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added dist lib to enable syncing anything across devices ([#3762](https://github.com/PyTorchLightning/pytorch-lightning/pull/3762))
added broadcast option to tpu (#3814) * added broadcast option to tpu * add device * moved tpu broadcast to tpu_backend * removed Lightning dist * decode bytes * pep8 fix * fix bug * test for broadcast * updated changelog
2020-10-04 11:47:33 +00:00
- Added `broadcast` to `TPUBackend` ([#3814](https://github.com/PyTorchLightning/pytorch-lightning/pull/3814))
Added check to verify xla device is TPU (#3274) * tpu device check * replaced with xmp spawn * Revert "replaced with xmp spawn" This reverts commit 6835380f * replaced all instances of XLA_AVAILABLE * moved inner_f to global scope * made refactors * added changelog * added TPU_AVAILABLE variable * fix codefactor issues * removed form trainer and early stopping * add TORCHXLA_AVAILABLE check * added tests * refactoring * Update pytorch_lightning/utilities/xla_device_utils.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * updated function names * fixed bug * updated CHANGELOG.md * added todo * added type hints * isort and black Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-10-06 17:54:37 +00:00
- Added `XLADeviceUtils` class to check XLA device type ([#3274](https://github.com/PyTorchLightning/pytorch-lightning/pull/3274))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Changed
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Refactored accelerator backends:
* moved TPU `xxx_step` to backend ([#3118](https://github.com/PyTorchLightning/pytorch-lightning/pull/3118))
* refactored DDP backend `forward` ([#3119](https://github.com/PyTorchLightning/pytorch-lightning/pull/3119))
* refactored GPU backend `__step` ([#3120](https://github.com/PyTorchLightning/pytorch-lightning/pull/3120))
* refactored Horovod backend ([#3121](https://github.com/PyTorchLightning/pytorch-lightning/pull/3121),
[#3122](https://github.com/PyTorchLightning/pytorch-lightning/pull/3122))
* remove obscure forward call in eval + CPU backend `___step` ([#3123](https://github.com/PyTorchLightning/pytorch-lightning/pull/3123))
* reduced all simplified forward ([#3126](https://github.com/PyTorchLightning/pytorch-lightning/pull/3126))
* added hook base method ([#3127](https://github.com/PyTorchLightning/pytorch-lightning/pull/3127))
* refactor eval loop to use hooks - use `test_mode` for if so we can split later ([#3129](https://github.com/PyTorchLightning/pytorch-lightning/pull/3129))
* moved `___step_end` hooks ([#3130](https://github.com/PyTorchLightning/pytorch-lightning/pull/3130))
* training forward refactor ([#3134](https://github.com/PyTorchLightning/pytorch-lightning/pull/3134))
* training AMP scaling refactor ([#3135](https://github.com/PyTorchLightning/pytorch-lightning/pull/3135))
* eval step scaling factor ([#3136](https://github.com/PyTorchLightning/pytorch-lightning/pull/3136))
* add eval loop object to streamline eval loop ([#3138](https://github.com/PyTorchLightning/pytorch-lightning/pull/3138))
* refactored dataloader process hook ([#3139](https://github.com/PyTorchLightning/pytorch-lightning/pull/3139))
* refactored inner eval loop ([#3141](https://github.com/PyTorchLightning/pytorch-lightning/pull/3141))
* final inner eval loop hooks ([#3154](https://github.com/PyTorchLightning/pytorch-lightning/pull/3154))
* clean up hooks in `run_evaluation` ([#3156](https://github.com/PyTorchLightning/pytorch-lightning/pull/3156))
* clean up data reset ([#3161](https://github.com/PyTorchLightning/pytorch-lightning/pull/3161))
* expand eval loop out ([#3165](https://github.com/PyTorchLightning/pytorch-lightning/pull/3165))
* moved hooks around in eval loop ([#3195](https://github.com/PyTorchLightning/pytorch-lightning/pull/3195))
* remove `_evaluate` fx ([#3197](https://github.com/PyTorchLightning/pytorch-lightning/pull/3197))
* `Trainer.fit` hook clean up ([#3198](https://github.com/PyTorchLightning/pytorch-lightning/pull/3198))
* DDPs train hooks ([#3203](https://github.com/PyTorchLightning/pytorch-lightning/pull/3203))
* refactor DDP backend ([#3204](https://github.com/PyTorchLightning/pytorch-lightning/pull/3204),
[#3207](https://github.com/PyTorchLightning/pytorch-lightning/pull/3207),
[#3208](https://github.com/PyTorchLightning/pytorch-lightning/pull/3208),
[#3209](https://github.com/PyTorchLightning/pytorch-lightning/pull/3209),
[#3210](https://github.com/PyTorchLightning/pytorch-lightning/pull/3210))
* reduced accelerator selection ([#3211](https://github.com/PyTorchLightning/pytorch-lightning/pull/3211))
* group prepare data hook ([#3212](https://github.com/PyTorchLightning/pytorch-lightning/pull/3212))
* added data connector ([#3285](https://github.com/PyTorchLightning/pytorch-lightning/pull/3285))
* modular is_overridden ([#3290](https://github.com/PyTorchLightning/pytorch-lightning/pull/3290))
* adding `Trainer.tune()` ([#3293](https://github.com/PyTorchLightning/pytorch-lightning/pull/3293))
* move `run_pretrain_routine` -> `setup_training` ([#3294](https://github.com/PyTorchLightning/pytorch-lightning/pull/3294))
* move train outside of setup training ([#3297](https://github.com/PyTorchLightning/pytorch-lightning/pull/3297))
* move `prepare_data` to data connector ([#3307](https://github.com/PyTorchLightning/pytorch-lightning/pull/3307))
* moved accelerator router ([#3309](https://github.com/PyTorchLightning/pytorch-lightning/pull/3309))
* train loop refactor - moving train loop to own object ([#3310](https://github.com/PyTorchLightning/pytorch-lightning/pull/3310),
[#3312](https://github.com/PyTorchLightning/pytorch-lightning/pull/3312),
[#3313](https://github.com/PyTorchLightning/pytorch-lightning/pull/3313),
[#3314](https://github.com/PyTorchLightning/pytorch-lightning/pull/3314))
* duplicate data interface definition up into DataHooks class ([#3344](https://github.com/PyTorchLightning/pytorch-lightning/pull/3344))
* inner train loop ([#3359](https://github.com/PyTorchLightning/pytorch-lightning/pull/3359),
[#3361](https://github.com/PyTorchLightning/pytorch-lightning/pull/3361),
[#3362](https://github.com/PyTorchLightning/pytorch-lightning/pull/3362),
[#3363](https://github.com/PyTorchLightning/pytorch-lightning/pull/3363),
[#3365](https://github.com/PyTorchLightning/pytorch-lightning/pull/3365),
[#3366](https://github.com/PyTorchLightning/pytorch-lightning/pull/3366),
[#3367](https://github.com/PyTorchLightning/pytorch-lightning/pull/3367),
[#3368](https://github.com/PyTorchLightning/pytorch-lightning/pull/3368),
[#3369](https://github.com/PyTorchLightning/pytorch-lightning/pull/3369),
[#3370](https://github.com/PyTorchLightning/pytorch-lightning/pull/3370),
[#3371](https://github.com/PyTorchLightning/pytorch-lightning/pull/3371),
[#3372](https://github.com/PyTorchLightning/pytorch-lightning/pull/3372),
[#3373](https://github.com/PyTorchLightning/pytorch-lightning/pull/3373),
[#3374](https://github.com/PyTorchLightning/pytorch-lightning/pull/3374),
[#3375](https://github.com/PyTorchLightning/pytorch-lightning/pull/3375),
[#3376](https://github.com/PyTorchLightning/pytorch-lightning/pull/3376),
[#3385](https://github.com/PyTorchLightning/pytorch-lightning/pull/3385),
[#3388](https://github.com/PyTorchLightning/pytorch-lightning/pull/3388),
[#3397](https://github.com/PyTorchLightning/pytorch-lightning/pull/3397))
* all logging related calls in a connector ([#3395](https://github.com/PyTorchLightning/pytorch-lightning/pull/3395))
* device parser ([#3400](https://github.com/PyTorchLightning/pytorch-lightning/pull/3400),
[#3405](https://github.com/PyTorchLightning/pytorch-lightning/pull/3405))
* added model connector ([#3407](https://github.com/PyTorchLightning/pytorch-lightning/pull/3407))
* moved eval loop logging to loggers ([#3408](https://github.com/PyTorchLightning/pytorch-lightning/pull/3408))
* moved eval loop (#3412[#3408](https://github.com/PyTorchLightning/pytorch-lightning/pull/3408))
* trainer/separate argparse ([#3421](https://github.com/PyTorchLightning/pytorch-lightning/pull/3421),
[#3428](https://github.com/PyTorchLightning/pytorch-lightning/pull/3428),
[#3432](https://github.com/PyTorchLightning/pytorch-lightning/pull/3432))
* move `lr_finder` ([#3434](https://github.com/PyTorchLightning/pytorch-lightning/pull/3434))
* organize args (#[#3435](https://github.com/PyTorchLightning/pytorch-lightning/pull/3435),
[#3442](https://github.com/PyTorchLightning/pytorch-lightning/pull/3442),
[#3447](https://github.com/PyTorchLightning/pytorch-lightning/pull/3447),
[#3448](https://github.com/PyTorchLightning/pytorch-lightning/pull/3448),
[#3449](https://github.com/PyTorchLightning/pytorch-lightning/pull/3449),
[#3456](https://github.com/PyTorchLightning/pytorch-lightning/pull/3456))
* move specific accelerator code ([#3457](https://github.com/PyTorchLightning/pytorch-lightning/pull/3457))
* group connectors ([#3472](https://github.com/PyTorchLightning/pytorch-lightning/pull/3472))
* accelerator connector methods x/n ([#3469](https://github.com/PyTorchLightning/pytorch-lightning/pull/3469),
[#3470](https://github.com/PyTorchLightning/pytorch-lightning/pull/3470),
[#3474](https://github.com/PyTorchLightning/pytorch-lightning/pull/3474))
* merge backends x/n ([#3476](https://github.com/PyTorchLightning/pytorch-lightning/pull/3476),
[#3477](https://github.com/PyTorchLightning/pytorch-lightning/pull/3477),
[#3478](https://github.com/PyTorchLightning/pytorch-lightning/pull/3478),
[#3480](https://github.com/PyTorchLightning/pytorch-lightning/pull/3480),
[#3482](https://github.com/PyTorchLightning/pytorch-lightning/pull/3482))
* apex plugin ([#3502](https://github.com/PyTorchLightning/pytorch-lightning/pull/3502))
* precision plugins ([#3504](https://github.com/PyTorchLightning/pytorch-lightning/pull/3504))
* Result - make monitor default to `checkpoint_on` to simplify ([#3571](https://github.com/PyTorchLightning/pytorch-lightning/pull/3571))
* reference to the Trainer on the `LightningDataModule` ([#3684](https://github.com/PyTorchLightning/pytorch-lightning/pull/3684))
* add `.log` to lightning module ([#3686](https://github.com/PyTorchLightning/pytorch-lightning/pull/3686),
[#3699](https://github.com/PyTorchLightning/pytorch-lightning/pull/3699),
[#3701](https://github.com/PyTorchLightning/pytorch-lightning/pull/3701),
[#3704](https://github.com/PyTorchLightning/pytorch-lightning/pull/3704),
[#3715](https://github.com/PyTorchLightning/pytorch-lightning/pull/3715))
* enable tracking original metric when step and epoch are both true ([#3685](https://github.com/PyTorchLightning/pytorch-lightning/pull/3685))
* deprecated results obj, added support for simpler comms ([#3681](https://github.com/PyTorchLightning/pytorch-lightning/pull/3681))
* move backends back to individual files ([#3712](https://github.com/PyTorchLightning/pytorch-lightning/pull/3712))
* fixes logging for eval steps ([#3763](https://github.com/PyTorchLightning/pytorch-lightning/pull/3763))
* decoupled DDP, DDP spawn ([#3733](https://github.com/PyTorchLightning/pytorch-lightning/pull/3733),
[#3766](https://github.com/PyTorchLightning/pytorch-lightning/pull/3766),
[#3767](https://github.com/PyTorchLightning/pytorch-lightning/pull/3767),
[#3774](https://github.com/PyTorchLightning/pytorch-lightning/pull/3774),
[#3802](https://github.com/PyTorchLightning/pytorch-lightning/pull/3802),
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
[#3806](https://github.com/PyTorchLightning/pytorch-lightning/pull/3806),
[#3817](https://github.com/PyTorchLightning/pytorch-lightning/pull/3817),
[#3819](https://github.com/PyTorchLightning/pytorch-lightning/pull/3819),
[#3927](https://github.com/PyTorchLightning/pytorch-lightning/pull/3927))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* remove weight loading hack for ddp_cpu ([#3808](https://github.com/PyTorchLightning/pytorch-lightning/pull/3808))
* separate `torchelastic` from DDP ([#3810](https://github.com/PyTorchLightning/pytorch-lightning/pull/3810))
* separate SLURM from DDP ([#3809](https://github.com/PyTorchLightning/pytorch-lightning/pull/3809))
* decoupled DDP2 ([#3816](https://github.com/PyTorchLightning/pytorch-lightning/pull/3816))
* bug fix with logging val epoch end + monitor ([#3812](https://github.com/PyTorchLightning/pytorch-lightning/pull/3812))
* callback system and init DDP ([#3836](https://github.com/PyTorchLightning/pytorch-lightning/pull/3836))
* adding compute environments ([#3837](https://github.com/PyTorchLightning/pytorch-lightning/pull/3837), [#3842](https://github.com/PyTorchLightning/pytorch-lightning/pull/3842))
* epoch can now log independently ([#3843](https://github.com/PyTorchLightning/pytorch-lightning/pull/3843))
* test selecting the correct backend. temp backends while slurm and TorchElastic are decoupled ([#3848](https://github.com/PyTorchLightning/pytorch-lightning/pull/3848))
* fixed `init_slurm_connection` causing hostname errors ([#3856](https://github.com/PyTorchLightning/pytorch-lightning/pull/3856))
* moves init apex from LM to apex connector ([#3923](https://github.com/PyTorchLightning/pytorch-lightning/pull/3923))
* moves sync bn to each backend ([#3925](https://github.com/PyTorchLightning/pytorch-lightning/pull/3925))
* moves configure ddp to each backend ([#3924](https://github.com/PyTorchLightning/pytorch-lightning/pull/3924))
- Deprecation warning ([#3844](https://github.com/PyTorchLightning/pytorch-lightning/pull/3844))
Changed LearningRateLogger to LearningRateMonitor (#3251) * Change LearningRateLogger to LearningRateMonitor * file rename * docs * add LearningRateLogger with deprecation warning * deprecated LearningRateLogger * move deprecation check * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-03 18:17:15 +00:00
- Changed `LearningRateLogger` to `LearningRateMonitor` ([#3251](https://github.com/PyTorchLightning/pytorch-lightning/pull/3251))
use fsspec instead of gfile for all IO (#3320) * use fsspec instead of gfile for all IO This better supports remote (and local) file operations with a dedicated package * Apply suggestions from code review Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-03 12:19:20 +00:00
- Used `fsspec` instead of `gfile` for all IO ([#3320](https://github.com/PyTorchLightning/pytorch-lightning/pull/3320))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Swaped `torch.load` for `fsspec` load in DDP spawn backend ([#3787](https://github.com/PyTorchLightning/pytorch-lightning/pull/3787))
* Swaped `torch.load` for `fsspec` load in cloud_io loading ([#3692](https://github.com/PyTorchLightning/pytorch-lightning/pull/3692))
Update to_disk to use fsspec for remote file support (#3930) * Update supporters.py * Update CHANGELOG.md * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update supporters.py * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-07 11:28:23 +00:00
* Added support for `to_disk()` to use remote filepaths with `fsspec` ([#3930](https://github.com/PyTorchLightning/pytorch-lightning/pull/3930))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Updated model_checkpoint's to_yaml to use `fsspec` open ([#3801](https://github.com/PyTorchLightning/pytorch-lightning/pull/3801))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
* Fixed `fsspec` is inconsistent when doing `fs.ls` ([#3805](https://github.com/PyTorchLightning/pytorch-lightning/pull/3805))
Refactor GPUStatsMonitor to improve training speed (#3257) * Refactor GPUMonitor to improve training speed * added gpu ids to monitor * update tests * added deprecation warning * pep * fix test * fix docs * fix log_gpu_memory * move deprecation check * chlog * Update CHANGELOG.md * suggestions and fix Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-09-04 10:02:16 +00:00
- Refactor `GPUStatsMonitor` to improve training speed ([#3257](https://github.com/PyTorchLightning/pytorch-lightning/pull/3257))
Fix IoU score for classes not present in target or pred (#3098) * Fix IoU score for classes not present in target or pred Fixes #3097 - Allow configurable not_present_score for IoU for classes not present in target or pred. Defaults to 1.0. - Also allow passing `num_classes` parameter through from iou metric class down to its underlying functional iou call. * Changelog: move IoU not-present score fix to [unreleased] * IoU: avoid recomputing class presence in target and pred Use already-computed support, true positives, and false positives to determine if a class is not present in either target or pred. * Test IoU against sklearn jaccard_score Also add TODO to test our IoU's not_present_score against sklearn's jaccard_score's zero_division when it beecomes available. * IoU: remove_bg -> ignore_index Fixes #2736 - Rename IoU metric argument from `remove_bg` -> `ignore_index`. - Accept an optional int class index to ignore, instead of a bool and instead of always assuming the background class has index 0. - If given, ignore the class index when computing the IoU output, regardless of reduction method. * Improve documentation for IoU not_present_score * Update default IoU not_present_score to 0.0 * Add note about IoU division by zero * Rename IoU not_present_score -> absent_score * Update IoU absent score changelog wording * Condense IoU absent_score argument docstring * Remove unnecessary IoU ignore_index comment * docstrings * isort * flake8 * Fix test of IoU against sklearn jaccard Use macro instead of micro averaging in sklearn's jaccard score, to match multi-class IoU, which conventionally takes per-class scores before averaging. Co-authored-by: rohitgr7 <rohitgr1998@gmail.com>
2020-09-17 08:37:49 +00:00
- Changed IoU score behavior for classes absent in target and pred ([#3098](https://github.com/PyTorchLightning/pytorch-lightning/pull/3098))
- Changed IoU `remove_bg` bool to `ignore_index` optional int ([#3098](https://github.com/PyTorchLightning/pytorch-lightning/pull/3098))
change default save_top_k, save_last to None (#3680) * topk default * fix test that doesn't have best available * remove print * #3680 changes * fix backward * temp revert te * add warning by carmocca * format docstring for test * specify monitor in ES test with top k * improve docstring for save_last * remove commented lines * revert passing model to test * undo regex mistake * changelog * fix test covering case monitor=None and savetopk=-1 * docstring * fix test for saving all checkpoints * don't save checkpoints for save_top_k=0 * add test for savetopk=0 Co-authored-by @carmocca Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2020-09-28 00:05:02 +00:00
- Changed defaults of `save_top_k` and `save_last` to `None` in ModelCheckpoint ([#3680](https://github.com/PyTorchLightning/pytorch-lightning/pull/3680))
log/save_interval based on global step (#3667) * log interval based on global step * test * test * test * test * pep * pep * added changelog * pep * merge * remove unused arg
2020-09-30 10:26:27 +00:00
- `row_log_interval` and `log_save_interval` are now based on training loop's `global_step` instead of epoch-internal batch index ([#3667](https://github.com/PyTorchLightning/pytorch-lightning/pull/3667))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Silenced some warnings. verified ddp refactors ([#3483](https://github.com/PyTorchLightning/pytorch-lightning/pull/3483))
- Cleaning up stale logger tests ([#3490](https://github.com/PyTorchLightning/pytorch-lightning/pull/3490))
- Allow `ModelCheckpoint` monitor to be `None` ([#3633](https://github.com/PyTorchLightning/pytorch-lightning/pull/3633))
- Enable `None` model checkpoint default ([#3669](https://github.com/PyTorchLightning/pytorch-lightning/pull/3669))
- Skipped `best_model_path` if `checkpoint_callback` is `None` ([#2962](https://github.com/PyTorchLightning/pytorch-lightning/pull/2962))
- Used `raise .. from ..` to explicitly chain exceptions ([#3750](https://github.com/PyTorchLightning/pytorch-lightning/pull/3750))
- Mocking loggers ([#3596](https://github.com/PyTorchLightning/pytorch-lightning/pull/3596),
[#3617](https://github.com/PyTorchLightning/pytorch-lightning/pull/3617),
[#3851](https://github.com/PyTorchLightning/pytorch-lightning/pull/3851),
[#3859](https://github.com/PyTorchLightning/pytorch-lightning/pull/3859),
[#3884](https://github.com/PyTorchLightning/pytorch-lightning/pull/3884),
[#3853](https://github.com/PyTorchLightning/pytorch-lightning/pull/3853),
[#3910](https://github.com/PyTorchLightning/pytorch-lightning/pull/3910),
[#3889](https://github.com/PyTorchLightning/pytorch-lightning/pull/3889),
[#3926](https://github.com/PyTorchLightning/pytorch-lightning/pull/3926))
- Write predictions in LightningModule instead of EvalResult [#3882](https://github.com/PyTorchLightning/pytorch-lightning/pull/3882)
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Deprecated
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated `TrainResult` and `EvalResult`, use `self.log` and `self.write` from the `LightningModule` to log metrics and write predictions. `training_step` can now only return a scalar (for the loss) or a dictionary with anything you want. ([#3681](https://github.com/PyTorchLightning/pytorch-lightning/pull/3681))
- Deprecate `early_stop_callback` Trainer argument ([#3845](https://github.com/PyTorchLightning/pytorch-lightning/pull/3845))
Rename log_save_interval, row_log_interval (#3748) * Rename row_log_interval -> log_every_n_steps log_save_interval -> flush_logs_every_n_steps * Changelog * fixed title underline length * typo * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * pep8 + deprecation test * 'todo: remove in 1.1 comment' * 1.1 -> 0.11 * log * docs * depr API * add depr tests * note * miss Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-10-06 14:27:06 +00:00
- Rename Trainer arguments `row_log_interval` >> `log_every_n_steps` and `log_save_interval` >> `flush_logs_every_n_steps` ([#3748](https://github.com/PyTorchLightning/pytorch-lightning/pull/3748))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Removed
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Removed experimental Metric API ([#3943](https://github.com/PyTorchLightning/pytorch-lightning/pull/3943),
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
[#3949](https://github.com/PyTorchLightning/pytorch-lightning/pull/3949),
[#3946](https://github.com/PyTorchLightning/pytorch-lightning/pull/3946)), listed changes before final removal:
* Added `EmbeddingSimilarity` metric ([#3349](https://github.com/PyTorchLightning/pytorch-lightning/pull/3349), [#3358](https://github.com/PyTorchLightning/pytorch-lightning/pull/3358))
* Added hooks to metric module interface ([#2528](https://github.com/PyTorchLightning/pytorch-lightning/pull/2528))
* Added error when AUROC metric is used for multiclass problems ([#3350](https://github.com/PyTorchLightning/pytorch-lightning/pull/3350))
* Fixed `ModelCheckpoint` with `save_top_k=-1` option not tracking the best models when a monitor metric is available ([#3735](https://github.com/PyTorchLightning/pytorch-lightning/pull/3735))
* Fixed counter-intuitive error being thrown in `Accuracy` metric for zero target tensor ([#3764](https://github.com/PyTorchLightning/pytorch-lightning/pull/3764))
* Fixed aggregation of metrics ([#3517](https://github.com/PyTorchLightning/pytorch-lightning/pull/3517))
* Fixed Metric aggregation ([#3321](https://github.com/PyTorchLightning/pytorch-lightning/pull/3321))
* Fixed RMSLE metric ([#3188](https://github.com/PyTorchLightning/pytorch-lightning/pull/3188))
* Renamed `reduction` to `class_reduction` in classification metrics ([#3322](https://github.com/PyTorchLightning/pytorch-lightning/pull/3322))
* Changed `class_reduction` similar to sklearn for classification metrics ([#3322](https://github.com/PyTorchLightning/pytorch-lightning/pull/3322))
* Renaming of precision recall metric ([#3308](https://github.com/PyTorchLightning/pytorch-lightning/pull/3308))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
### Fixed
Fix `on_train_batch_start` hook to end epoch early (#3700) * init * add test * changelog and docs * fix test * Apply suggestion from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-02 19:46:46 +00:00
- Fixed `on_train_batch_start` hook to end epoch early ([#3700](https://github.com/PyTorchLightning/pytorch-lightning/pull/3700))
Fix num_sanity_val_steps is clipped to limit_val_batches (#2917) * Fix num_sanity_val_steps according to limit_val_steps * fix test * add num_sanity_batches * pep * update docstring in test * add more test * chlog * update comments and docstring in test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <adrian.waelchli@inf.unibe.ch> Co-authored-by: Ananya Harsh Jha <ananya@pytorchlightning.ai>
2020-08-21 18:11:31 +00:00
- Fixed `num_sanity_val_steps` is clipped to `limit_val_batches` ([#2917](https://github.com/PyTorchLightning/pytorch-lightning/pull/2917))
fix ONNX model save on GPU (#3145) * added to(device) * added test * fix test on gpu * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * remove multi gpu check Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * updated message * Update pytorch_lightning/core/lightning.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> * updated test * onxx to onnx * Update pytorch_lightning/core/lightning.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Update tests/models/test_onnx.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add no grad Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add isinstance back * chlog * error is input_sample is not Tensor Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-26 16:22:19 +00:00
- Fixed ONNX model save on GPU ([#3145](https://github.com/PyTorchLightning/pytorch-lightning/pull/3145))
Fix GpuUsageLogger to work on different platforms (#3008) * Fix GpuUsageLogger * docstrings * misconfigexception * add basic tests * skip doctest * fix parameter and docstring * rm cl * skip doctest * cleanup * chlog * add suggestions from review * add test from suggestions * fix import * fix test * fix test * fix test * fix test * rename GpuUsageLogger to GPUStatsMonitor * doc fix * Apply suggestions from code review * update docs format * update docs * miss * merge * fix title formatting * unindent * punctuation * simplify if statements * fix test * suggestions * pep * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * fix on_train_batch_* * use AttributeDict * usage * rank zero Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * import * minor changes Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Adrian Wälchli <adrian.waelchli@inf.unibe.ch> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-27 17:50:32 +00:00
- Fixed `GpuUsageLogger` to work on different platforms ([#3008](https://github.com/PyTorchLightning/pytorch-lightning/pull/3008))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed auto-scale batch size not dumping `auto_lr_find` parameter ([#3151](https://github.com/PyTorchLightning/pytorch-lightning/pull/3151))
- Fixed `batch_outputs` with optimizer frequencies ([#3229](https://github.com/PyTorchLightning/pytorch-lightning/pull/3229))
update batch size in DataModule when auto scaling batch size (#3266) * fix datamodule hasattr * fix patch check * fix setattr * update docs * revert patch fix * changelog * fix datamodule passed in as fit arg * docs * set datamodule batch size in lightning_setattr * fix merge * check with has_attr * access datamodule via trainer * pass fit args down to tuner * docs * fix typos in docs Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-09-03 20:07:49 +00:00
- Fixed setting batch size in `LightningModule.datamodule` when using `auto_scale_batch_size` ([#3266](https://github.com/PyTorchLightning/pytorch-lightning/pull/3266))
Added check for apex AMP and unit tests for Horovod + AMP (#3404) * Added check for apex AMP and unit tests for Horovod + AMP * Changelog * Fixed order of Horovod and Apex optimizer wrapping
2020-09-09 00:30:57 +00:00
- Fixed Horovod distributed backend compatibility with native AMP ([#3404](https://github.com/PyTorchLightning/pytorch-lightning/pull/3404))
limit auto scaling batch size to the size of the training dataset (#3271) * fix * fix and test * fix merge error * test for max dataset size * changelog * update docs * fix merge * unused imports * imports
2020-09-09 08:51:43 +00:00
- Fixed batch size auto scaling exceeding the size of the dataset ([#3271](https://github.com/PyTorchLightning/pytorch-lightning/pull/3271))
Get experiment_id from MLFlow only once instead of each training loop (#3394) * Get experiment_id from MLFlow only once instead of each training loop. * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * add test that asserts mlflow client is called to retrieve experiment id only once * make pep8 happy * logs Co-authored-by: Patrick Orlando <patrick.orlando@rea-group.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-09-09 09:38:26 +00:00
- Fixed getting `experiment_id` from MLFlow only once instead of each training loop ([#3394](https://github.com/PyTorchLightning/pytorch-lightning/pull/3394))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `overfit_batches` which now correctly disables shuffling for the training loader. ([#3501](https://github.com/PyTorchLightning/pytorch-lightning/pull/3501))
fix gradient norm tracking for row_log_interval > 1 (#3489) * fix + test * changelog * Apply suggestions from code review Co-authored-by: Tim Chard <timchard@hotmail.com> * improve test Co-authored-by: Tim Chard <timchard@hotmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-09-15 16:41:27 +00:00
- Fixed gradient norm tracking for `row_log_interval > 1` ([#3489](https://github.com/PyTorchLightning/pytorch-lightning/pull/3489))
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Fixed `ModelCheckpoint` name formatting ([#3164](https://github.com/PyTorchLightning/pytorch-lightning/pull/3163))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed example implementation of AutoEncoder ([#3190](https://github.com/PyTorchLightning/pytorch-lightning/pull/3190))
- Fixed invalid paths when remote logging with TensorBoard ([#3236](https://github.com/PyTorchLightning/pytorch-lightning/pull/3236))
- Fixed change `t()` to `transpose()` as XLA devices do not support `.t()` on 1-dim tensor ([#3252](https://github.com/PyTorchLightning/pytorch-lightning/pull/3252))
- Fixed (weights only) checkpoints loading without PL ([#3287](https://github.com/PyTorchLightning/pytorch-lightning/pull/3287))
- Fixed `gather_all_tensors` cross GPUs in DDP ([#3319](https://github.com/PyTorchLightning/pytorch-lightning/pull/3319))
- Fixed CometML save dir ([#3419](https://github.com/PyTorchLightning/pytorch-lightning/pull/3419))
- Fixed forward key metrics ([#3467](https://github.com/PyTorchLightning/pytorch-lightning/pull/3467))
- Fixed normalize mode at confusion matrix (replace NaNs with zeros) ([#3465](https://github.com/PyTorchLightning/pytorch-lightning/pull/3465))
- Fixed global step increment in training loop when `training_epoch_end` hook is used ([#3673](https://github.com/PyTorchLightning/pytorch-lightning/pull/3673))
Fix overfit_batches > 0 on distributed_backend = "ddp" (#3534) * example * ex * example * sampler * fix * fix * remove example * changelog
2020-09-19 23:00:58 +00:00
- Fixed dataloader shuffling not getting turned off with `overfit_batches > 0` and `distributed_backend = "ddp"` ([#3534](https://github.com/PyTorchLightning/pytorch-lightning/pull/3534))
Fix deterministic behavior in ddp_spawn (#3573) * docs * set env variable * fix * changelog
2020-09-20 23:42:58 +00:00
- Fixed determinism in `DDPSpawnBackend` when using `seed_everything` in main process ([#3335](https://github.com/PyTorchLightning/pytorch-lightning/pull/3335))
Fix val_progress_bar total with num_sanity_val_steps (#3751) * Fix val_progress_bar total with num_sanity_val_steps * chlog * Fix val_progress_bar total with num_sanity_val_steps * move test * replaced with sanity flag and suggestions
2020-10-04 12:32:18 +00:00
- Fixed `ModelCheckpoint` `period` to actually save every `period` epochs ([#3630](https://github.com/PyTorchLightning/pytorch-lightning/pull/3630))
- Fixed `val_progress_bar` total with `num_sanity_val_steps` ([#3751](https://github.com/PyTorchLightning/pytorch-lightning/pull/3751))
add current_epoch to dumped_params (#3261) * add current epoch to __dumped_params * log * reset * add to test * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-06 17:54:48 +00:00
- Fixed Tuner dump: add `current_epoch` to dumped_params ([#3261](https://github.com/PyTorchLightning/pytorch-lightning/pull/3261))
[Bug-Fix]:properties `current_epoch` and `global_step` between model and trainer same always (#3785) * make current_epoch and global_step to be same as trainer, after model restore. * remove assignment here * test * minor modification * Update pytorch_lightning/core/lightning.py type check, better clarity Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * Update pytorch_lightning/core/lightning.py type check, better clarity Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> * comments for current_epoch and global_step properties * Update tests/models/test_restore.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update comments according to the changes made * Update tests/models/test_restore.py * add current_epoch, global_step to jit ignore list * Add comments to CHANGELOG * Update CHANGELOG.md * Update tests/models/test_restore.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: ananthsub <ananth.subramaniam@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-10-05 15:10:40 +00:00
- Fixed `current_epoch` and `global_step` properties mismatch between `Trainer` and `LightningModule` ([#3785](https://github.com/PyTorchLightning/pytorch-lightning/pull/3785))
Fix lr finder for optimizers with states (#3897) * fix lr finder * changelog * add test
2020-10-06 13:12:29 +00:00
- Fixed learning rate scheduler for optimizers with internal state ([#3897](https://github.com/PyTorchLightning/pytorch-lightning/pull/3897))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `tbptt_reduce_fx` when non-floating tensors are logged ([#3796](https://github.com/PyTorchLightning/pytorch-lightning/pull/3796))
- Fixed model checkpoint frequency ([#3852](https://github.com/PyTorchLightning/pytorch-lightning/pull/3852))
- Fixed logging non-tensor scalar with result breaks subsequent epoch aggregation ([#3855](https://github.com/PyTorchLightning/pytorch-lightning/pull/3855))
- Fixed `TrainerEvaluationLoopMixin` activates `model.train()` at the end ([#3858](https://github.com/PyTorchLightning/pytorch-lightning/pull/3858))
- Fixed `overfit_batches` when using with multiple val/test_dataloaders ([#3857](https://github.com/PyTorchLightning/pytorch-lightning/pull/3857))
- Fixed enables `training_step` to return `None` ([#3862](https://github.com/PyTorchLightning/pytorch-lightning/pull/3862))
- Fixed init nan for checkpointing ([#3863](https://github.com/PyTorchLightning/pytorch-lightning/pull/3863))
- Fixed for `load_from_checkpoint` ([#2776](https://github.com/PyTorchLightning/pytorch-lightning/pull/2776))
- Fixes incorrect `batch_sizes` when Dataloader returns a dict with multiple tensors ([#3668](https://github.com/PyTorchLightning/pytorch-lightning/pull/3668))
- Fixed unexpected signature for `validation_step` ([#3947](https://github.com/PyTorchLightning/pytorch-lightning/pull/3947))
## [0.9.0] - 2020-08-20
continue (#2450)
2020-07-01 12:35:51 +00:00
### Added
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added SyncBN for DDP ([#2801](https://github.com/PyTorchLightning/pytorch-lightning/pull/2801),
[#2838](https://github.com/PyTorchLightning/pytorch-lightning/pull/2838))
Added basic file logger (#2721) * Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * fixup! Added basic file logger #1803 * csv * Apply suggestions from code review * tests * tests * tests * miss * docs Co-authored-by: xmotli02 <xmotli02@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-08-06 10:08:25 +00:00
- Added basic `CSVLogger` ([#2721](https://github.com/PyTorchLightning/pytorch-lightning/pull/2721))
metrics: add SSIM (#2671) * metrics: add SSIM * Update CHANGELOG.md fix codefactor issue fix doctest fix doctest fix test * added test for raise Error
2020-07-23 16:13:52 +00:00
- Added SSIM metrics ([#2671](https://github.com/PyTorchLightning/pytorch-lightning/pull/2671))
metrics: add BLEU (#2535) * metrics: added bleu score and test bleu * metrics: fixed type hints in bleu * bleu score moved to metrics/functional/nlp.py * refactor with torch.Tensor * Update test_sequence.py * refactor as Borda requests and nltk==3.2 * locked nltk==3.3 * nltk>=3.3, parametrized smooth argument for test * fix bleu_score example * added class BLEUScore metrics and test * added class BLEUScore metrics and test * update CHANGELOG * refactor with torchtext * torchtext changed to optional import * fix E501 line too long * add else: in optional import * remove pragma: no-cover * constants changed to CAPITALS * remove class in tests * List -> Sequence, conda -> pip, cast with tensor * add torchtext in test.txt * remove torchtext from test.txt * bump torchtext to 0.5.0 * bump torchtext to 0.5.0 * Apply suggestions from code review * ignore bleu score in doctest, renamed to nlp.py * back to implementation with torch * remove --ignore in CI test, proper reference format * apply justus comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-22 13:58:24 +00:00
- Added BLEU metrics ([#2535](https://github.com/PyTorchLightning/pytorch-lightning/pull/2535))
Add onnx export (#2596) * export model to onnx * prepare data before exporting * support for dataloaders and tensors * added tests * use example_input_array add to changelog * updated docstring * added onnx inference tests * temp commit * removed schema valid test * add onnxruntime to environment.yml * moved onnxruntime to environment.yml pip * add example in doc * add lines between code block * added PR to changelog * is file check Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * remove * Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * infer example outputs * added doctest for onnx * fix windows tests * moved eval within condition block * self.forward to self * added docs * fixed docs error * added to toctree * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-31 10:27:57 +00:00
- Added support to export a model to ONNX format ([#2596](https://github.com/PyTorchLightning/pytorch-lightning/pull/2596))
support num_sanity_val_steps=-1 (#2246) * support sanity_val_step=-1 * fix list size * simplification * simplify * add test for num_sanity_val_steps=-1 * update test * update docs * extend tests to multiple dataloaders * changelog * Update tests/trainer/test_trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * improve test * refactor the sanity check decision * fix merge * Update trainer.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-23 11:07:03 +00:00
- Added support for `Trainer(num_sanity_val_steps=-1)` to check all validation data before training ([#2246](https://github.com/PyTorchLightning/pytorch-lightning/pull/2246))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added struct. output:
* tests for val loop flow ([#2605](https://github.com/PyTorchLightning/pytorch-lightning/pull/2605))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* `EvalResult` support for train and val. loop ([#2615](https://github.com/PyTorchLightning/pytorch-lightning/pull/2615),
[#2651](https://github.com/PyTorchLightning/pytorch-lightning/pull/2651))
update changelogs
2020-08-12 14:02:32 +00:00
* weighted average in results obj ([#2930](https://github.com/PyTorchLightning/pytorch-lightning/pull/2930))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
* fix result obj DP auto reduce ([#3013](https://github.com/PyTorchLightning/pytorch-lightning/pull/3013))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added class `LightningDataModule` ([#2668](https://github.com/PyTorchLightning/pytorch-lightning/pull/2668))
pytorch 1.6 (#2745) * pt 1.6 * don't use the new zipfile serialization for now * quick flake8 fixes * remove unnecessary f * coalesce strings * remove comma * remove extra commas * Apply suggestions from code review Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * set _use_new_zipfile_serialization to False only for pytorch 1.6.0 * remove unnecessary comments * flake8 fixes * use pkg_resources instead of packaging * readme * format * version * chlog Co-authored-by: Peter Yu <peter@asapp.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com>
2020-07-31 09:18:32 +00:00
- Added support for PyTorch 1.6 ([#2745](https://github.com/PyTorchLightning/pytorch-lightning/pull/2745))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Added call DataModule hooks implicitly in trainer ([#2755](https://github.com/PyTorchLightning/pytorch-lightning/pull/2755))
Support Mean in DDP Sync (#2568) * Update converters.py * Update test_converters.py * pep8 * pep8 tests * Update test_datamodules.py * Update test_converters.py * Update converters.py * Update test_datamodules.py * Update test_converters.py * Update test_converters.py * fix tests * fix ddp tests on windows * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-04 16:32:20 +00:00
- Added support for Mean in DDP Sync ([#2568](https://github.com/PyTorchLightning/pytorch-lightning/pull/2568))
Add remaning sklearn metrics (#2562) * added balanced accuracy * added dcg score * added mean absolute error * added mean squared error * fix * added mean squared log error * add median absolute error and r2 score * switch arguments * added mean poisson deviance * add mean gamma deviance and mean tweedie deviance * fix styling * added explained variance score * added cohen kappa score * added hamming, hinge, jaccard * fix styling * update sklearn requirement to newer version * update requirement * fix doctest * fix tests * added balanced accuracy * added dcg score * added mean absolute error * added mean squared error * fix * added mean squared log error * add median absolute error and r2 score * switch arguments * added mean poisson deviance * add mean gamma deviance and mean tweedie deviance * fix styling * added explained variance score * added cohen kappa score * added hamming, hinge, jaccard * fix styling * update sklearn requirement to newer version * fix doctest * fix tests * fix doctest * fix failing docs * fix test * trying to fix errors * Apply suggestions from code review * format Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-05 09:32:53 +00:00
- Added remaining `sklearn` metrics: `AveragePrecision`, `BalancedAccuracy`, `CohenKappaScore`, `DCG`, `Hamming`, `Hinge`, `Jaccard`, `MeanAbsoluteError`, `MeanSquaredError`, `MeanSquaredLogError`, `MedianAbsoluteError`, `R2Score`, `MeanPoissonDeviance`, `MeanGammaDeviance`, `MeanTweedieDeviance`, `ExplainedVariance` ([#2562](https://github.com/PyTorchLightning/pytorch-lightning/pull/2562))
Support limit_mode_batches (int) for infinite dataloader (#2840) * Support limit_mode_batches(int) for infinite dataloader * flake8 * revert and update * add and update tests * pep8 * chlog * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Add suggestions by @awaelchli * docs * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * Apply suggestions from code review * fix * max * check * add and update tests * max * check * check * check * chlog * tests * update exception message * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 11:02:36 +00:00
- Added support for `limit_{mode}_batches (int)` to work with infinite dataloader (IterableDataset) ([#2840](https://github.com/PyTorchLightning/pytorch-lightning/pull/2840))
Support returning python scalars in DP (#1935) * Override the default gather method to support scalars * add computing average of a list * bug: change if to elif * add some tests * change style * change documentation * use apply_to_collection in DP gather * use apply_to_collection in DP gather * fix warning msg * override gather method in DP * add tests for python scalars * add python scalars to docstring * Update message * override gather method in DP * formatting * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 07:18:29 +00:00
- Added support returning python scalars in DP ([#1935](https://github.com/PyTorchLightning/pytorch-lightning/pull/1935))
Add support to Tensorboard logger for OmegaConf hparams (#2846) * Add support to Tensorboard logger for OmegaConf hparams Address https://github.com/PyTorchLightning/pytorch-lightning/issues/2844 We check if we can import omegaconf, and if the hparams are omegaconf instances. if so, we use OmegaConf.merge to preserve the typing, such that saving hparams to yaml actually triggers the OmegaConf branch * avalaible * chlog * test Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 13:13:21 +00:00
- Added support to Tensorboard logger for OmegaConf `hparams` ([#2846](https://github.com/PyTorchLightning/pytorch-lightning/pull/2846))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Added tracking of basic states in `Trainer` ([#2541](https://github.com/PyTorchLightning/pytorch-lightning/pull/2541))
- Tracks all outputs including TBPTT and multiple optimizers ([#2890](https://github.com/PyTorchLightning/pytorch-lightning/pull/2890))
add apex test (#2921) * add apex test * rename * level * events * wrap * evt * miss * apex * apex * apex * apex * apex * apex * Update tests/models/test_amp.py Co-authored-by: William Falcon <waf2107@columbia.edu> * notes * notes Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-08-13 14:03:13 +00:00
- Added GPU Usage Logger ([#2932](https://github.com/PyTorchLightning/pytorch-lightning/pull/2932))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Added `strict=False` for `load_from_checkpoint` ([#2819](https://github.com/PyTorchLightning/pytorch-lightning/pull/2819))
tasks docs
2020-08-16 02:36:53 +00:00
- Added saving test predictions on multiple GPUs ([#2926](https://github.com/PyTorchLightning/pytorch-lightning/pull/2926))
Feature/log computational graph (#3003) * add methods * log in trainer * add tests * changelog * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * text * added argument * update tests * fix styling * improve testing
2020-08-19 23:08:46 +00:00
- Auto log the computational graph for loggers that support this ([#3003](https://github.com/PyTorchLightning/pytorch-lightning/pull/3003))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Added warning when changing monitor and using results obj ([#3014](https://github.com/PyTorchLightning/pytorch-lightning/pull/3014))
- Added a hook `transfer_batch_to_device` to the `LightningDataModule` ([#3038](https://github.com/PyTorchLightning/pytorch-lightning/pull/3038))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Changed
truncate long version number in progress bar (#2594) * truncate version number * add docs and example * extend docs * docs * docs * changelog * show last * Update pytorch_lightning/core/lightning.py * Update pytorch_lightning/core/lightning.py Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-28 20:32:34 +00:00
- Truncated long version numbers in progress bar ([#2594](https://github.com/PyTorchLightning/pytorch-lightning/pull/2594))
Use .comet.config file for CometLogger (#1913) * Use .comet.config file or env var for API key. * Make CometLogger API key changes backwards compatible. * Fix line too long. * Add documentation about loading from ~/.comet_config. * Update required comet_ml version. * Comet logger: allow offline experiments with config file. This adds a new argument to the logger to control the online / offline mode explicitly so that if you give an API key and a save_dir (e.g. to control where checkpoints go while having ~/.comet.config) you can specify which mode you want. * Make CometLogger API key changes backwards compatible. * Comet logger: change online argument to be offline. For consistency with other loggers. * chlog Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
2020-08-07 07:46:50 +00:00
- Enabling val/test loop disabling ([#2692](https://github.com/PyTorchLightning/pytorch-lightning/pull/2692))
- Refactored into `accelerator` module:
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
* GPU training ([#2704](https://github.com/PyTorchLightning/pytorch-lightning/pull/2704))
* TPU training ([#2708](https://github.com/PyTorchLightning/pytorch-lightning/pull/2708))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
* DDP(2) backend ([#2796](https://github.com/PyTorchLightning/pytorch-lightning/pull/2796))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
* Retrieve last logged val from result by key ([#3049](https://github.com/PyTorchLightning/pytorch-lightning/pull/3049))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Using `.comet.config` file for `CometLogger` ([#1913](https://github.com/PyTorchLightning/pytorch-lightning/pull/1913))
- Updated hooks arguments - breaking for `setup` and `teardown` ([#2850](https://github.com/PyTorchLightning/pytorch-lightning/pull/2850))
- Using `gfile` to support remote directories ([#2164](https://github.com/PyTorchLightning/pytorch-lightning/pull/2164))
changelogs clean (#3082) * clean * ver
2020-08-20 22:58:53 +00:00
- Moved optimizer creation after device placement for DDP backends ([#2904](https://github.com/PyTorchLightning/pytorch-lighting/pull/2904))
update changelogs
2020-08-12 14:02:32 +00:00
- Support `**DictConfig` for `hparam` serialization ([#2519](https://github.com/PyTorchLightning/pytorch-lightning/pull/2519))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Removed callback metrics from test results obj ([#2994](https://github.com/PyTorchLightning/pytorch-lightning/pull/2994))
- Re-enabled naming metrics in ckpt name ([#3060](https://github.com/PyTorchLightning/pytorch-lightning/pull/3060))
- Changed progress bar epoch counting to start from 0 ([#3061](https://github.com/PyTorchLightning/pytorch-lightning/pull/3061))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Deprecated
Fix weights_save_path when logger is used + simplify path handling + better docs (#2681) * fix weights_save path and drop ckpt_path * add tests * unused import * update docs * changelog * pep8 * fix horovod test * make backward compatible * perform same test for all loggers * fix for when logger=False and weights_save_path is set * update changelog * update docs * update tests * do not set save dir dynamically * remove duplicate test * remove duplicated tests * update tests * update tests * remove remaining ckpt_path references * move defaults to init as suggested by @Borda * test deprecation
2020-07-27 16:53:11 +00:00
- Deprecated Trainer attribute `ckpt_path`, which will now be set by `weights_save_path` ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
continue (#2450)
2020-07-01 12:35:51 +00:00
### Removed
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Removed deprecated: ([#2760](https://github.com/PyTorchLightning/pytorch-lightning/pull/2760))
* core decorator `data_loader`
* Module hook `on_sanity_check_start` and loading `load_from_metrics`
* package `pytorch_lightning.logging`
* Trainer arguments: `show_progress_bar`, `num_tpu_cores`, `use_amp`, `print_nan_grads`
* LR Finder argument `num_accumulation_steps`
continue (#2450)
2020-07-01 12:35:51 +00:00
### Fixed
Fix accumulate_grad_batches for last batch (#2853) * first attempt * update changelog * fix pep8 and tests * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * added new tests * fixed tests * Apply suggestions from code review * used num_training_batches * fixed pep8 * fixed with is_last_batch suggested by @awaelchli * fixed with num_training_batches * fixed with num_training_batches * cleanup * fix test and update docs * fixed for alignment, update docs * minor changes * update doc Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-15 19:06:37 +00:00
- Fixed `accumulate_grad_batches` for last batch ([#2853](https://github.com/PyTorchLightning/pytorch-lightning/pull/2853))
fix setup call while testing (#2624) * fix setup call while testing * changelog * drop if condition * add test to check setup call * flake8 * update test to check model stage Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-25 03:57:31 +00:00
- Fixed setup call while testing ([#2624](https://github.com/PyTorchLightning/pytorch-lightning/pull/2624))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed local rank zero casting ([#2640](https://github.com/PyTorchLightning/pytorch-lightning/pull/2640))
- Fixed single scalar return from training ([#2587](https://github.com/PyTorchLightning/pytorch-lightning/pull/2587))
Horovod: adjust base LR used by schedulers to scale with the number of workers (#2626) * Horovod: Adjust base LR used by schedulers to match that of the optimizer after scaling by number of workers * Added unit test * Removed debug statements * Updated changelog * Apply suggestions from code review Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-23 16:14:57 +00:00
- Fixed Horovod backend to scale LR schedlers with the optimizer ([#2626](https://github.com/PyTorchLightning/pytorch-lightning/pull/2626))
fix dtype/device property not getting updated in submodules (#2657) * recursive dtype device apply * simplify * simple test * submodule test * rename * explicit * type hints * test for dp backend * fix test skip * rename * add ddp_spawn test * fix None index in test * try fix ddp_spawn test * changelog * move _dtype and _device to mixin * additional doctest
2020-07-21 19:18:57 +00:00
- Fixed `dtype` and `device` properties not getting updated in submodules ([#2657](https://github.com/PyTorchLightning/pytorch-lightning/pull/2657))
Fix max_batches with fast_dev_run. (#2581) * Fix fast_dev_run to run for all val_dataloaders * fast_dev_run check * changelog * explicit * limit_batches with fast_dev_run in init * add test * whitespace and comment fix * comment and assertion * added tests * Fix fast_dev_run to run for all val_dataloaders * fast_dev_run check * changelog * explicit * limit_batches with fast_dev_run in init * add test * whitespace and comment fix * comment and assertion * added tests * added tests * added tests * added tests * update rtol * Revert "update rtol" This reverts commit 4320329540798c112cf45dcbd6f677993e4c6ad6. * added tests Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-07-27 21:56:55 +00:00
- Fixed `fast_dev_run` to run for all dataloaders ([#2581](https://github.com/PyTorchLightning/pytorch-lightning/pull/2581))
Fix weights_save_path when logger is used + simplify path handling + better docs (#2681) * fix weights_save path and drop ckpt_path * add tests * unused import * update docs * changelog * pep8 * fix horovod test * make backward compatible * perform same test for all loggers * fix for when logger=False and weights_save_path is set * update changelog * update docs * update tests * do not set save dir dynamically * remove duplicate test * remove duplicated tests * update tests * update tests * remove remaining ckpt_path references * move defaults to init as suggested by @Borda * test deprecation
2020-07-27 16:53:11 +00:00
- Fixed `save_dir` in loggers getting ignored by default value of `weights_save_path` when user did not specify `weights_save_path` ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
- Fixed `weights_save_path` getting ignored when `logger=False` is passed to Trainer ([#2681](https://github.com/PyTorchLightning/pytorch-lightning/pull/2681))
fixing TPU tests (#2632) * init * rename * tpu_core_idx * idx 8 * idxs * @pl_multi_process_test * assert * assert * deamon * no close * imort * msg * use_single_gpu * dataset * idx * fix idx * dataset * format * add pickable * typo * apex * typo * wip * wip * wip * wip * wip * wip * wip * wip * docs * typo * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * tests * docs * docs * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Apply suggestions from code review Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> * docs * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: Ethan Harris <ewah1g13@soton.ac.uk> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-07-27 23:07:09 +00:00
- Fixed TPU multi-core and Float16 ([#2632](https://github.com/PyTorchLightning/pytorch-lightning/pull/2632))
Add missing methods to logger collection (#2723) * Add missing methods to logger collection * Update CHANGELOG.md * Fix errors after merge * Fix codefactor issues * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-29 21:53:02 +00:00
- Fixed test metrics not being logged with `LoggerCollection` ([#2723](https://github.com/PyTorchLightning/pytorch-lightning/pull/2723))
Feature/log computational graph (#3003) * add methods * log in trainer * add tests * changelog * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * fix tests * text * added argument * update tests * fix styling * improve testing
2020-08-19 23:08:46 +00:00
- Fixed data transfer to device when using `torchtext.data.Field` and `include_lengths is True` ([#2689](https://github.com/PyTorchLightning/pytorch-lightning/pull/2689))
Fix shuffle for distributed sampler (#2789) * Fix shuffle for distributed sampler * add test * test * chlog * update test * update test * update test * assertions via callback * define callback outside for pickling * skip ddp test on windows Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 03:22:57 +00:00
- Fixed shuffle argument for distributed sampler ([#2789](https://github.com/PyTorchLightning/pytorch-lightning/pull/2789))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed logging interval ([#2694](https://github.com/PyTorchLightning/pytorch-lightning/pull/2694))
- Fixed loss value in the progress bar is wrong when `accumulate_grad_batches > 1` ([#2738](https://github.com/PyTorchLightning/pytorch-lightning/pull/2738))
- Fixed correct CWD for ddp sub-processes when using Hydra ([#2719](https://github.com/PyTorchLightning/pytorch-lightning/pull/2719))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Fixed selecting GPUs using `CUDA_VISIBLE_DEVICES` ([#2739](https://github.com/PyTorchLightning/pytorch-lightning/pull/2739))
missing chlogs (#2672) * missing * miss * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * miss * note * notes * update CI testing with pip upgrade (#2380) * try pt1.5 * cpu * upgrade * tpu * user * [blocked by #2380] freeze GPU PT 1.4 (#2780) * freeze * user Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-02 10:34:36 +00:00
- Fixed false `num_classes` warning in metrics ([#2781](https://github.com/PyTorchLightning/pytorch-lightning/pull/2781))
- Fixed shell injection vulnerability in subprocess call ([#2786](https://github.com/PyTorchLightning/pytorch-lightning/pull/2786))
Bugfix: Lr finder and hparams compatibility (#2821) * fix hparams lr finder bug * add tests for new functions * better tests * fix codefactor * fix styling * fix tests * fix codefactor * Apply suggestions from code review * modified hook Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-08-06 22:34:48 +00:00
- Fixed LR finder and `hparams` compatibility ([#2821](https://github.com/PyTorchLightning/pytorch-lightning/pull/2821))
save last model after saving top_k when save_last=True (#2881) * save_last should be last * changelog * seed, docs * retrigger ci * compare filenames * move constants * fix test * epoch, global step * improve test
2020-08-08 10:02:43 +00:00
- Fixed `ModelCheckpoint` not saving the latest information when `save_last=True` ([#2881](https://github.com/PyTorchLightning/pytorch-lightning/pull/2881))
Finish PR #2432: Imagenet example updates + basic testing (#2889) * fix imagenet example: lr_scheduler, loader workers, batch size when ddp * Fix evaluation for imagenet example * add imagenet example test * cleanup * gpu * add imagenet example evluation test * fix test output * test is fixed in master, remove unecessary hack * CHANGE * Apply suggestions from code review * image net example * update imagenet example * update example * pep * imports * type hint * docs * obsolete arg * [wip] fix imagenet example: lr_scheduler, loader workers, batch size when ddp (#2432) * fix imagenet example: lr_scheduler, loader workers, batch size when ddp * Fix evaluation for imagenet example * add imagenet example test * cleanup * gpu * add imagenet example evluation test * fix test output * test is fixed in master, remove unecessary hack * CHANGE * Apply suggestions from code review Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update chlog * add missing chlog * pep * pep Co-authored-by: Ruotian Luo <rluo@ttic.edu> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-08-09 10:02:07 +00:00
- Fixed ImageNet example: learning rate scheduler, number of workers and batch size when using DDP ([#2889](https://github.com/PyTorchLightning/pytorch-lightning/pull/2889))
missing chlogs (#2806) * missing * miss
2020-08-09 14:44:14 +00:00
- Fixed apex gradient clipping ([#2829](https://github.com/PyTorchLightning/pytorch-lightning/pull/2829))
- Fixed save apex scaler states ([#2828](https://github.com/PyTorchLightning/pytorch-lightning/pull/2828))
Fix hparams loading for model that accepts *args (#2911) * fix hparams loading for model that accepts *args * add test case * changelog * pep * fix test Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-08-12 13:58:35 +00:00
- Fixed a model loading issue with inheritance and variable positional arguments ([#2911](https://github.com/PyTorchLightning/pytorch-lightning/pull/2911))
Do not pass non_blocking=True if it does not support this argument (#2910) * add docs * non blocking only on tensor * changelog * add test case * add test comment * update changelog changelog chlog
2020-08-11 23:28:37 +00:00
- Fixed passing `non_blocking=True` when transferring a batch object that does not support it ([#2910](https://github.com/PyTorchLightning/pytorch-lightning/pull/2910))
update changelogs
2020-08-12 14:02:32 +00:00
- Fixed checkpointing to remote file paths ([#2925](https://github.com/PyTorchLightning/pytorch-lightning/pull/2925))
tasks docs
2020-08-16 02:36:53 +00:00
- Fixed adding val step argument to metrics ([#2986](https://github.com/PyTorchLightning/pytorch-lightning/pull/2986))
ddp fix for trainer.test() + add basic ddp tests (#2997) * add ddp script variations * add ddp test * rename * shell * test * test * try call * try without subprocess * test * display the error * list all variations * try string * try copy env * debug * pythonpath * path * update test * change * simple ddp test * replace * remove random port * random port * str * clean up * check run spawn * clean up * docs * docs * update test * docs * changelog * changelog
2020-08-16 15:19:57 +00:00
- Fixed an issue that caused `Trainer.test()` to stall in ddp mode ([#2997](https://github.com/PyTorchLightning/pytorch-lightning/pull/2997))
Fix result gathering with varying tensor shapes (#3020) * test for gethering results * fix gather * document tests * changelog * assert dtype * default to concat * additional test
2020-08-19 00:27:48 +00:00
- Fixed gathering of results with tensors of varying shape ([#3020](https://github.com/PyTorchLightning/pytorch-lightning/pull/3020))
Skip replacing dataloader sampler if it's already a distributed sampler (#4273) * Update data_loading.py * Update data_loading.py * add test + update flag description * add to changelog * Update test_dataloaders.py * fix-pickle * Update test_dataloaders.py * Added missing reference calls * Update tests/trainer/test_dataloaders.py * Apply suggestions from code review * Update data_loading.py * Update test_dataloaders.py Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
2020-10-23 16:34:07 +00:00
- Fixed batch size auto-scaling feature to set the new value on the correct model attribute ([#3043](https://github.com/PyTorchLightning/pytorch-lightning/pull/3043))
fix auto scale batch size not working with precision=16 (#3045) * add test * test * test * add fix * changelog * check batch size changed
2020-08-19 20:41:33 +00:00
- Fixed automatic batch scaling not working with half precision ([#3045](https://github.com/PyTorchLightning/pytorch-lightning/pull/3045))
changelog for release 0.9 (#2998) * miss * fix wrong changelog entry * miss * update changelog Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-08-20 13:44:08 +00:00
- Fixed setting device to root gpu ([#3042](https://github.com/PyTorchLightning/pytorch-lightning/pull/3042))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
## [0.8.5] - 2020-07-09
continue (#2450)
2020-07-01 12:35:51 +00:00
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
### Added
- Added a PSNR metric: peak signal-to-noise ratio ([#2483](https://github.com/PyTorchLightning/pytorch-lightning/pull/2483))
- Added functional regression metrics ([#2492](https://github.com/PyTorchLightning/pytorch-lightning/pull/2492))
make loggers pickleable (#2518) * state updates to logger * change log * changelog
2020-07-05 23:57:22 +00:00
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
### Removed
- Removed auto val reduce ([#2462](https://github.com/PyTorchLightning/pytorch-lightning/pull/2462))
### Fixed
- Flattening Wandb Hyperparameters ([#2459](https://github.com/PyTorchLightning/pytorch-lightning/pull/2459))
- Fixed using the same DDP python interpreter and actually running ([#2482](https://github.com/PyTorchLightning/pytorch-lightning/pull/2482))
- Fixed model summary input type conversion for models that have input dtype different from model parameters ([#2510](https://github.com/PyTorchLightning/pytorch-lightning/pull/2510))
- Made `TensorBoardLogger` and `CometLogger` pickleable ([#2518](https://github.com/PyTorchLightning/pytorch-lightning/pull/2518))
save_dir fix for MLflowLogger + save_dir tests for others (#2502) * mlflow rework * logger save_dir * folder * mlflow * simplify * fix test * add a test for file dir contents * new line * changelog * docs * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * test for comet logger * improve mlflow checkpoint test * prevent commet logger error on pytest exit * test tensorboard save dir structure * wandb save dir test * skip test on windows * add mlflow to pickle tests * wandb * code factor * remove unused imports * remove unused setter * wandb mock * wip mock * wip mock * wandb tests with mocking * clean up * clean up * comments * include wandblogger in test * clean up * missing argument Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-07-09 11:15:41 +00:00
- Fixed a problem with `MLflowLogger` creating multiple run folders ([#2502](https://github.com/PyTorchLightning/pytorch-lightning/pull/2502))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
- Fixed global_step increment ([#2455](https://github.com/PyTorchLightning/pytorch-lightning/pull/2455))
- Fixed TPU hanging example ([#2488](https://github.com/PyTorchLightning/pytorch-lightning/pull/2488))
- Fixed `argparse` default value bug ([#2526](https://github.com/PyTorchLightning/pytorch-lightning/pull/2526))
- Fixed Dice and IoU to avoid NaN by adding small eps ([#2545](https://github.com/PyTorchLightning/pytorch-lightning/pull/2545))
- Fixed accumulate gradients schedule at epoch 0 (continued) ([#2513](https://github.com/PyTorchLightning/pytorch-lightning/pull/2513))
- Fixed Trainer `.fit()` returning last not best weights in "ddp_spawn" ([#2565](https://github.com/PyTorchLightning/pytorch-lightning/pull/2565))
- Fixed passing (do not pass) TPU weights back on test ([#2566](https://github.com/PyTorchLightning/pytorch-lightning/pull/2566))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed DDP tests and `.test()` ([#2512](https://github.com/PyTorchLightning/pytorch-lightning/pull/2512),
[#2570](https://github.com/PyTorchLightning/pytorch-lightning/pull/2570))
missing changelog (#2464) * missing * miss * miss * new
2020-07-10 15:16:48 +00:00
cleaning (#2449)
2020-07-01 11:56:10 +00:00
## [0.8.4] - 2020-07-01
continue (#2416)
2020-06-29 19:00:52 +00:00
### Added
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Added reduce ddp results on eval ([#2434](https://github.com/PyTorchLightning/pytorch-lightning/pull/2434))
Warn user when IterableDataset has __len__ defined (#2437) * add warning when getting checking len * added test * changelog * pep * do not show warning below 1.4 * try version parse * comments * xfail * Update requirements/base.txt Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/data_loading.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * version Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-07-01 11:53:19 +00:00
- Added a warning when an `IterableDataset` has `__len__` defined ([#2437](https://github.com/PyTorchLightning/pytorch-lightning/pull/2437))
continue (#2416)
2020-06-29 19:00:52 +00:00
### Changed
cleaning (#2449)
2020-07-01 11:56:10 +00:00
- Enabled no returns from eval ([#2446](https://github.com/PyTorchLightning/pytorch-lightning/pull/2446))
continue (#2416)
2020-06-29 19:00:52 +00:00
### Fixed
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Fixes train outputs ([#2428](https://github.com/PyTorchLightning/pytorch-lightning/pull/2428))
- Fixes Conda dependencies ([#2412](https://github.com/PyTorchLightning/pytorch-lightning/pull/2412))
- Fixed Apex scaling with decoupled backward ([#2433](https://github.com/PyTorchLightning/pytorch-lightning/pull/2433))
- Fixed crashing or wrong displaying progressbar because of missing ipywidgets ([#2417](https://github.com/PyTorchLightning/pytorch-lightning/pull/2417))
- Fixed TPU saving dir ([fc26078e](https://github.com/PyTorchLightning/pytorch-lightning/commit/fc26078e395f8a001f4c6dd7b3fe7ca202f914a3), [04e68f02](https://github.com/PyTorchLightning/pytorch-lightning/commit/04e68f022fc03dd5f1555ee86dea997d42a448ad))
- Fixed logging on rank 0 only ([#2425](https://github.com/PyTorchLightning/pytorch-lightning/pull/2425))
cleaning (#2449)
2020-07-01 11:56:10 +00:00
release (#2414)
2020-06-29 11:21:28 +00:00
## [0.8.3] - 2020-06-29
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
### Fixed
release (#2414)
2020-06-29 11:21:28 +00:00
- Fixed AMP wrong call ([593837e](https://github.com/PyTorchLightning/pytorch-lightning/commit/593837e1da24ff6c942b24ed803fc1496a304609))
- Fixed batch typo ([92d1e75](https://github.com/PyTorchLightning/pytorch-lightning/commit/92d1e75b2638a493d9d21ed5fe00a22093888285))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
## [0.8.2] - 2020-06-28
### Added
- Added TorchText support for moving data to GPU ([#2379](https://github.com/PyTorchLightning/pytorch-lightning/pull/2379))
### Changed
- Changed epoch indexing from 0 instead of 1 ([#2289](https://github.com/PyTorchLightning/pytorch-lightning/pull/2289))
- Refactor Model `backward` ([#2276](https://github.com/PyTorchLightning/pytorch-lightning/pull/2276))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Refactored `training_batch` + tests to verify correctness ([#2327](https://github.com/PyTorchLightning/pytorch-lightning/pull/2327),
[#2328](https://github.com/PyTorchLightning/pytorch-lightning/pull/2328))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
- Refactored training loop ([#2336](https://github.com/PyTorchLightning/pytorch-lightning/pull/2336))
- Made optimization steps for hooks ([#2363](https://github.com/PyTorchLightning/pytorch-lightning/pull/2363))
- Changed default apex level to 'O2' ([#2362](https://github.com/PyTorchLightning/pytorch-lightning/pull/2362))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
### Removed
move Trains logger to Bolts (#2384) * move Trains logger * chlog
2020-06-27 13:14:05 +00:00
- Moved `TrainsLogger` to Bolts ([#2384](https://github.com/PyTorchLightning/pytorch-lightning/pull/2384))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
### Fixed
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
fix TPU parsing and TPU tests (#2094) * added tpu params test * added tests * removed xla imports * added test cases for TPU * fix pep 8 issues * refactorings and comments * add message to MisconfigurationException Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test if device is set correctly * added TPU device check removed mark.spawn * removed device selection * remove xla_device call * readded spawn due to test failures * add TODO for tpu check * Apply suggestions from code review * Apply suggestions from code review * flake8 * added tpu args to cli tests * added support for tpu_core selection via cli * fixed flake formatting * replaced default_save_path with default_root_dir * added check for data type for tpu_cores * fixed flake indent * protected * protected * added tpu params test * added tests * removed xla imports * test if device is set correctly * added support for tpu_core selection via cli * replaced default_save_path with default_root_dir * added check for data type for tpu_cores * chlog * fixed tpu cores error * rebased with latest changes * flake fix * Update pytorch_lightning/trainer/distrib_parts.py added suggesstion Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-06-23 16:06:57 +00:00
- Fixed parsing TPU arguments and TPU tests ([#2094](https://github.com/PyTorchLightning/pytorch-lightning/pull/2094))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed number batches in case of multiple dataloaders and `limit_{*}_batches` ([#1920](https://github.com/PyTorchLightning/pytorch-lightning/pull/1920),
[#2226](https://github.com/PyTorchLightning/pytorch-lightning/pull/2226))
Fix summary hook handles not getting removed (#2298) * detach hooks after completion * detach hook * update docs * add test * docs * changelog
2020-06-20 11:38:47 +00:00
- Fixed an issue with forward hooks not being removed after model summary ([#2298](https://github.com/PyTorchLightning/pytorch-lightning/pull/2298))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Fix for `load_from_checkpoint()` not working with absolute path on Windows ([#2294](https://github.com/PyTorchLightning/pytorch-lightning/pull/2294))
Bugfix/_has_len (#2307) * deal with NotImplementedError raised by torchtext * deal with NotImplementedError raised by torchtext * Added tests for dataloader which raise NotImplementedError in __len__() * Fixed some typos * enabled tests for dataloader raising NotImplementedError in __len__ and corrected match string for raised exception * deleted empty line for style compliance * refactored CustomNotImplementedErrorDataloader to derive from CustomInfDataloader * enabled reduced number of not_implemented_error dataloader test to reduce runtime for continuous integration * reduced test number of not_implemented_error dataloader test further to reduce test time * reduced test number of not_implemented_error dataloader test to one to reduce test time * disabled all not_implemented_error dataloader test to see if test pass in time * added __next__ with a reduced number (5) of elements after which CustomNotImplementedErrorDataloader stops to speedup test. * enabling all not_implemented_error dataloader test * added brief description of change and relation of torchtext * CustomNotImplementedErrorDataloader reduced number of batches served to 2. * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Disable parallelism in dataloader Suspect that it might cause pytest to hang more frequent * added max_steps=None to Trainer in not_implemented_error dataloader tests * rearranged not_implemented_error test in file to group them together * disabled parallel data loading Reason: testing if that stops the test framework from hanging. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Thomas Schaaf <tschaaf@cs.cmu.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-26 13:31:08 +00:00
- Fixed an issue how _has_len handles `NotImplementedError` e.g. raised by `torchtext.data.Iterator` ([#2293](https://github.com/PyTorchLightning/pytorch-lightning/pull/2293)), ([#2307](https://github.com/PyTorchLightning/pytorch-lightning/pull/2307))
- Fixed `average_precision` metric ([#2319](https://github.com/PyTorchLightning/pytorch-lightning/pull/2319))
Fix ROC metric for CUDA tensors (#2304) * Fix ROC metric for CUDA tensors Previously roc metric (and auroc) errors when passed in CUDA tensors, due to torch.tensor construction without specifying device. This fixes the error by using F.pad instead. * Update test_classification.py * Update test_classification.py * chlog * Update test_classification.py * Update test_classification.py * Update tests/metrics/functional/test_classification.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update test_classification.py Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-23 13:19:16 +00:00
- Fixed ROC metric for CUDA tensors ([#2304](https://github.com/PyTorchLightning/pytorch-lightning/pull/2304))
Fix lost compatibility with custom datatypes implementing `.to` (#2335) * generalize data transfer * added test * update docs * fix spelling error * changelog * update docs
2020-06-24 03:41:02 +00:00
- Fixed lost compatibility with custom datatypes implementing `.to` ([#2335](https://github.com/PyTorchLightning/pytorch-lightning/pull/2335))
fix loading model with kwargs (#2387) * test * fix * fix
2020-06-27 20:38:03 +00:00
- Fixed loading model with kwargs ([#2387](https://github.com/PyTorchLightning/pytorch-lightning/pull/2387))
missing changes (#2283) * missing * RC1 * RC1 * format
2020-06-29 10:34:19 +00:00
- Fixed sum(0) for `trainer.num_val_batches` ([#2268](https://github.com/PyTorchLightning/pytorch-lightning/pull/2268))
- Fixed checking if the parameters are a `DictConfig` Object ([#2216](https://github.com/PyTorchLightning/pytorch-lightning/pull/2216))
- Fixed SLURM weights saving ([#2341](https://github.com/PyTorchLightning/pytorch-lightning/pull/2341))
- Fixed swaps LR scheduler order ([#2356](https://github.com/PyTorchLightning/pytorch-lightning/pull/2356))
- Fixed adding tensorboard `hparams` logging test ([#2342](https://github.com/PyTorchLightning/pytorch-lightning/pull/2342))
- Fixed use model ref for tear down ([#2360](https://github.com/PyTorchLightning/pytorch-lightning/pull/2360))
- Fixed logger crash on DDP ([#2388](https://github.com/PyTorchLightning/pytorch-lightning/pull/2388))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed several issues with early stopping and checkpoint callbacks ([#1504](https://github.com/PyTorchLightning/pytorch-lightning/pull/1504),
[#2391](https://github.com/PyTorchLightning/pytorch-lightning/pull/2391))
fix loading past checpoints (#2405) * fix #2334 * chlog
2020-06-28 21:20:33 +00:00
- Fixed loading past checkpoints from v0.7.x ([#2405](https://github.com/PyTorchLightning/pytorch-lightning/pull/2405))
fix loading with hparams (#2403) * fix #2386 * extra test * extra case * extra test * chlog * fix test
2020-06-29 00:22:03 +00:00
- Fixed loading model without arguments ([#2403](https://github.com/PyTorchLightning/pytorch-lightning/pull/2403))
missing changes in chlog (#2430) * missing * miss
2020-07-01 02:45:50 +00:00
- Fixed Windows compatibility issue ([#2358](https://github.com/PyTorchLightning/pytorch-lightning/pull/2358))
fix loading with hparams (#2403) * fix #2386 * extra test * extra case * extra test * chlog * fix test
2020-06-29 00:22:03 +00:00
continue 0.8.x (#2264) * cleaning * docs * docs * types * mixins * mixins * docs * typo
2020-06-19 15:00:46 +00:00
## [0.8.1] - 2020-06-19
### Fixed
updates to changelog (#2248) * miss * miss * chlog * chlog
2020-06-19 06:37:38 +00:00
- Fixed the `load_from_checkpoint` path detected as URL bug ([#2244](https://github.com/PyTorchLightning/pytorch-lightning/pull/2244))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed hooks - added barrier ([#2245](https://github.com/PyTorchLightning/pytorch-lightning/pull/2245),
[#2257](https://github.com/PyTorchLightning/pytorch-lightning/pull/2257),
[#2260](https://github.com/PyTorchLightning/pytorch-lightning/pull/220))
updates to changelog (#2248) * miss * miss * chlog * chlog
2020-06-19 06:37:38 +00:00
- Fixed `hparams` - remove frame inspection on `self.hparams` ([#2253](https://github.com/PyTorchLightning/pytorch-lightning/pull/2253))
- Fixed setup and on fit calls ([#2252](https://github.com/PyTorchLightning/pytorch-lightning/pull/2252))
- Fixed GPU template ([#2255](https://github.com/PyTorchLightning/pytorch-lightning/pull/2255))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
## [0.8.0] - 2020-06-18
early stopping checks on_validation_end (#1458) * Fixes PyTorchLightning/pytorch-lightning#490 `EarlyStopping` should check the metric of interest `on_validation_end` rather than `on_epoch_end`. In a normal scenario, this does not cause a problem, but in combination with `check_val_every_n_epoch>1` in the `Trainer` it results in a warning or in a `RuntimeError` depending on `strict`. * Highlighted that ES callback runs on val epochs in docstring * Updated EarlyStopping in rst doc * Update early_stopping.py * Update early_stopping.rst * Update early_stopping.rst * Update early_stopping.rst * Update early_stopping.rst * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update docs/source/early_stopping.rst * fix doctest indentation warning * Train loop calls early_stop.on_validation_end * chlog Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-25 17:33:00 +00:00
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
### Added
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
replace train_percent_check with limit_train_batches (#2220) * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * chlog * deprecated * deprecated * deprecated * tests * tests * Apply suggestions from code review * tests * hydra support * tests * hydra support * hydra support * hydra support * tests * typo * typo * Update test_dataloaders.py * docs * docs * docs * docs Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 17:42:28 +00:00
- Added `overfit_batches`, `limit_{val|test}_batches` flags (overfit now uses training set for all three) ([#2213](https://github.com/PyTorchLightning/pytorch-lightning/pull/2213))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Added metrics
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Base classes ([#1326](https://github.com/PyTorchLightning/pytorch-lightning/pull/1326),
[#1877](https://github.com/PyTorchLightning/pytorch-lightning/pull/1877))
Metric docs fix (#2209) * fix docs * Update docs/source/metrics.rst * Update docs/source/metrics.rst Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update docs/source/metrics.rst * Update docs/source/metrics.rst * Update metrics.rst * title * fix * fix for num_classes * chlog * nb classes * hints * zero division * add tests * Update metrics.rst * Update classification.py * Update classification.py * prune doctests * docs * Apply suggestions from code review * Apply suggestions from code review * flake8 * doctests * formatting * cleaning * formatting * formatting * doctests * flake8 * docs * rename * rename * typo Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: edenlightning <66261195+edenlightning@users.noreply.github.com>
2020-06-17 11:34:39 +00:00
* Sklearn metrics classes ([#1327](https://github.com/PyTorchLightning/pytorch-lightning/pull/1327))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
* Native torch metrics ([#1488](https://github.com/PyTorchLightning/pytorch-lightning/pull/1488),
[#2062](https://github.com/PyTorchLightning/pytorch-lightning/pull/2062))
* docs for all Metrics ([#2184](https://github.com/PyTorchLightning/pytorch-lightning/pull/2184),
[#2209](https://github.com/PyTorchLightning/pytorch-lightning/pull/2209))
allow regression metrics to import (#2225) * allow regression metrics to import * allow regression metrics to import * docs * Apply suggestions from code review Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 22:44:29 +00:00
* Regression metrics ([#2221](https://github.com/PyTorchLightning/pytorch-lightning/pull/2221))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Allow dataloaders without sampler field present ([#1907](https://github.com/PyTorchLightning/pytorch-lightning/pull/1907))
v1.2.0rc1 (#5946) * v1.2.0rc0 * chlog * chlog * chlog * chlog Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2021-02-13 12:58:25 +00:00
- 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))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Early stopping checks `on_validation_end` ([#1458](https://github.com/PyTorchLightning/pytorch-lightning/pull/1458))
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))
Remove tbptt `self.log` flags and other dead code [5/n] (#7644)
2021-05-22 01:13:00 +00:00
- Added a model hook `transfer_batch_to_device` that enables moving custom data structures to the target device ([#1756](https://github.com/PyTorchLightning/pytorch-lightning/pull/1756))
- Added [black](https://black.readthedocs.io/en/stable/) formatter for the code with code-checker on pull ([#1610](https://github.com/PyTorchLightning/pytorch-lightning/pull/1610))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Added back the slow spawn ddp implementation as `ddp_spawn` ([#2115](https://github.com/PyTorchLightning/pytorch-lightning/pull/2115))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
- Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/pull/1667))
Handle KeyboardInterrupt during training (#2134) * Handle KeyboardInterrupt during training Fixes #2079. * chlog * Fix whitespace * Update callback_hook.py * Update base.py * Update training_loop.py * Update test_trainer.py * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * on_keyboard_interrupt Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-15 10:35:26 +00:00
- Added a callback method `on_keyboard_interrupt` for handling KeyboardInterrupt events during training ([#2134](https://github.com/PyTorchLightning/pytorch-lightning/pull/2134))
HenryJia: auto-move data decorator (#1905) * First attempt at auto-moving data for inference * Correct my copypaste errors * Correct for if device is CPU * Get rid of the WIP code I accidentally added * Add tests * Make tests more foolproof * Make sure we stick with pep8 formatting * Clarify docs a little * Apply suggestions from code review * Get everything working again hopefully * refactor and added hook variant a variant b add test revert rename add changelog docs * move changelog entry to top * Move data transfer to utilities * Add back in warnings for autotransfer * Get rid of the test code I ended up accidentally commiting again * Add docs any changelog * Correct PR number in Changelog * Correct changelog * Update data.py * Update test_cpu.py * make a decorator * type hint * changelog * changelog * remove old function * import * test for decorator * fix test * remove old test * doctest * apply decorator directly * convert doctest to code block * prevent side effects in tests * fix merge * update forward docs * update docs * added docs in section "deployment / prediction" * update changelog Co-authored-by: Hengjian Jia <henryjia18@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-06-15 21:04:32 +00:00
- Added a decorator `auto_move_data` that moves data to the correct device when using the LightningModule for inference ([#1905](https://github.com/PyTorchLightning/pytorch-lightning/pull/1905))
Docs new section (#2236) * chlog * docs * ver++ * docs * url * docs * readme * docs ---
2020-06-18 21:54:29 +00:00
- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/pull/2190))
- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/pull/2229))
data transfer model hook (+ refactor) (#1756) * refactor and added hook variant a variant b add test revert rename add changelog docs * resolve merge duplication * overridden typo * fix test * tpu id * raise if TPU not available * re-use apply_to_collection function for parsing collections * comment * make utility function available to user * documentation * move changelog entry to top * fix tpu transfer call * fix call * remove hardcoded string * improve test * call model hook by default * Apply suggestions from code review * rename utility function Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-03 01:45:19 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Changed
Allow user to select individual TPU core to train on (#1729) * added tpu_id added tpu_id to mixins * train on individual tpu * parallel loader if tpu_id is None * removed progress_bar_refresh_rate * chlog * replaced num_tpu_cores with tpu_cores * set tpu_id to None if int * changed num_tpu_cores to tpu_cores in docs * updated docs * updated __init__.py removed self.tpu_id for ParallelLoader * Update pytorch_lightning/trainer/__init__.py * check if tpu_cores is a list Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * xla device conditional * num_tpu_cores deprecation * removed duplicate warning * fixed pep8 error * Revert "removed duplicate warning" This reverts commit 8adb0a9b * deprecated api update * fixed recursion error * fixed tests * fixed flake errors * removed current_tpu_index * Update CHANGELOG.md * Update trainer.py Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-17 20:30:54 +00:00
- Allow user to select individual TPU core to train on ([#1729](https://github.com/PyTorchLightning/pytorch-lightning/pull/1729))
Remove NaNs from loss in LRFinder (#1862) * Remove NaNs from loss in LRFinder * np.isfinite * chlog * add test * chlog Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-19 06:39:19 +00:00
- Removed non-finite values from loss in `LRFinder` ([#1862](https://github.com/PyTorchLightning/pytorch-lightning/pull/1862))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Allow passing model hyperparameters as complete kwarg list ([#1896](https://github.com/PyTorchLightning/pytorch-lightning/pull/1896))
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
- Renamed `ModelCheckpoint`'s attributes `best` to `best_model_score` and `kth_best_model` to `kth_best_model_path` ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
- Re-Enable Logger's `ImportError`s ([#1938](https://github.com/PyTorchLightning/pytorch-lightning/pull/1938))
Update/merge multi-gpu docs (#2021) * merge multi-gpu docs * extend slurm docs * update links to elastic * format docs and type hints in distrib parts * reference multi-gpu/slurm in trainer args docs * fix doctest * typo * doctest * Apply suggestions from code review Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * wall time * Update docs/source/slurm.rst Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * fix title * update docs for weights summary * update changelog Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com>
2020-06-02 22:50:08 +00:00
- Changed the default value of the Trainer argument `weights_summary` from `full` to `top` ([#2029](https://github.com/PyTorchLightning/pytorch-lightning/pull/2029))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Raise an error when lightning replaces an existing sampler ([#2020](https://github.com/PyTorchLightning/pytorch-lightning/pull/2020))
continue 0.8.x (#2264) * cleaning * docs * docs * types * mixins * mixins * docs * typo
2020-06-19 15:00:46 +00:00
- Enabled `prepare_data` from correct processes - clarify local vs global rank ([#2166](https://github.com/PyTorchLightning/pytorch-lightning/pull/2166))
Handle KeyboardInterrupt during training (#2134) * Handle KeyboardInterrupt during training Fixes #2079. * chlog * Fix whitespace * Update callback_hook.py * Update base.py * Update training_loop.py * Update test_trainer.py * Update CHANGELOG.md Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update CHANGELOG.md * on_keyboard_interrupt Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-15 10:35:26 +00:00
- Remove explicit flush from tensorboard logger ([#2126](https://github.com/PyTorchLightning/pytorch-lightning/pull/2126))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
- Changed epoch indexing from 1 instead of 0 ([#2206](https://github.com/PyTorchLightning/pytorch-lightning/pull/2206))
Update/merge multi-gpu docs (#2021) * merge multi-gpu docs * extend slurm docs * update links to elastic * format docs and type hints in distrib parts * reference multi-gpu/slurm in trainer args docs * fix doctest * typo * doctest * Apply suggestions from code review Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * wall time * Update docs/source/slurm.rst Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com> * fix title * update docs for weights summary * update changelog Co-authored-by: Lucas Vazquez <lucasgouvaz@gmail.com>
2020-06-02 22:50:08 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Deprecated
replace train_percent_check with limit_train_batches (#2220) * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * drop train_percent_check * chlog * deprecated * deprecated * deprecated * tests * tests * Apply suggestions from code review * tests * hydra support * tests * hydra support * hydra support * hydra support * tests * typo * typo * Update test_dataloaders.py * docs * docs * docs * docs Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-06-17 17:42:28 +00:00
- Deprecated flags: ([#2213](https://github.com/PyTorchLightning/pytorch-lightning/pull/2213))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
* `overfit_pct` in favour of `overfit_batches`
* `val_percent_check` in favour of `limit_val_batches`
* `test_percent_check` in favour of `limit_test_batches`
Keep track of the best model's path saved by ModelCheckpoint (#1799) * Add an additional attribute to ModelCheckpoint to keep track of the best model's path Currently, only the best metric value is directly tracked. This new attribute will help in uses cases where the trained model needs to be used or tracked right after training. * Add small description and usage example to docs * Fix PEP8 issues * Fix doctest example * Fix expected output in doctest * Apply suggestions from code review * Show example as code block instead of doctest * Apply suggestions from code review * Update CHANGELOG.md * Rename `ModelCheckpoint.best` to `ModelCheckpoint.best_model_score` Also rename `ModelCheckpoint.best_model` (added in this PR) to `ModelCheckpoint.best_model_path`, for consistency, and `kth_best_model` to `kth_best_model_path`. * Update pytorch_lightning/trainer/training_io.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Add warning when loading checkpoint from an old version Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-05-31 12:47:13 +00:00
- Deprecated `ModelCheckpoint`'s attributes `best` and `kth_best_model` ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
set min PT 1.3 (#1917) * set min PT 1.3 * circleCI * mergify * min * chlog * skip
2020-05-22 11:14:08 +00:00
- Dropped official support/testing for older PyTorch versions <1.3 ([#1917](https://github.com/PyTorchLightning/pytorch-lightning/pull/1917))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated Trainer `proc_rank` in favour of `global_rank` ([#2166](https://github.com/PyTorchLightning/pytorch-lightning/pull/2166),
[#2269](https://github.com/PyTorchLightning/pytorch-lightning/pull/2269))
set min PT 1.3 (#1917) * set min PT 1.3 * circleCI * mergify * min * chlog * skip
2020-05-22 11:14:08 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Removed
protect progress bar callback (#1855) * wip protected progress bar settings * remove callback attr from LRfinder * whitespace * changelog
2020-05-25 11:49:23 +00:00
- Removed unintended Trainer argument `progress_bar_callback`, the callback should be passed in by `Trainer(callbacks=[...])` instead ([#1855](https://github.com/PyTorchLightning/pytorch-lightning/pull/1855))
remove deprecated API for v0.8 (#2073) * remove deprecated API * chlog * times * missed * formatting check * missing * missing * miss * fix docs build error * fix pep whitespace error * docs * wip * amp_level * amp_level Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-06-12 18:37:52 +00:00
- Removed obsolete `self._device` in Trainer ([#1849](https://github.com/PyTorchLightning/pytorch-lightning/pull/1849))
- Removed deprecated API ([#2073](https://github.com/PyTorchLightning/pytorch-lightning/pull/2073))
* Packages: `pytorch_lightning.pt_overrides`, `pytorch_lightning.root_module`
* Modules: `pytorch_lightning.logging.comet_logger`, `pytorch_lightning.logging.mlflow_logger`, `pytorch_lightning.logging.test_tube_logger`, `pytorch_lightning.overrides.override_data_parallel`, `pytorch_lightning.core.model_saving`, `pytorch_lightning.core.root_module`
* Trainer arguments: `add_row_log_interval`, `default_save_path`, `gradient_clip`, `nb_gpu_nodes`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`
* Trainer attributes: `nb_gpu_nodes`, `num_gpu_nodes`, `gradient_clip`, `max_nb_epochs`, `min_nb_epochs`, `nb_sanity_val_steps`, `default_save_path`, `tng_tqdm_dic`
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
### Fixed
Graceful shutdown on python interpreter exit (#1631) * Fraceful shutdown on python interpreter exit * Update CHANGELOG.md * Update training_loop.py * Update training_loop.py * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * pep8, move to constant * Update training_loop.py * Update training_loop.py * Update training_loop.py * pep8, move to constant * pep8 * timeout Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-29 14:20:04 +00:00
- Run graceful training teardown on interpreter exit ([#1631](https://github.com/PyTorchLightning/pytorch-lightning/pull/1631))
Fix user warning produced by apex + scheduler combination (#1873) * fix user error produced by apex + scheduler combination * add changelog * added reinit to every configure_apex call * fix styling Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-22 11:19:37 +00:00
- Fixed user warning when apex was used together with learning rate schedulers ([#1873](https://github.com/PyTorchLightning/pytorch-lightning/pull/1873))
repair CI for Win (#2358) * no cov * no cov * ReduceOp * group * reduce_op.sum * Update sklearns.py * formatting * horovod * Apply suggestions from code review * horovod * horovod * horovod * horovod * ci * print * ci * timeout * timeout * time * fix * distributed cpu * pipes * time * cpu * spawn * spawn * spawn * tp * separate * os * os * npm * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review * fix * fix meta tags creating empty lines * pyright * node * fix httpserver address * drop tutils.default_trainer_options * imports * Better fix for load_from_checkpoint() not working with absolute path on Windows (#2294) * Fix load_from_checkpoint() not working with URL on Windows * Update CHANGELOG * Update CHANGELOG.md Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> * drop duplicate Co-authored-by: Justus Schock <12886177+justusschock@users.noreply.github.com> Co-authored-by: airium <airium@outlook.com> Co-authored-by: Peter Yu <2057325+yukw777@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: AIRIUM <38249940+airium@users.noreply.github.com>
2020-06-27 01:38:25 +00:00
- Fixed multiple calls of `EarlyStopping` callback ([#1863](https://github.com/PyTorchLightning/pytorch-lightning/pull/1863))
handle unknown args passed to Trainer.from_argparse_args (#1932) * filter valid args * error on unknown manual args * added test * changelog * update docs and doctest * simplify * doctest * doctest * doctest * better test with mock check for init call * fstring * extend test * skip test on 3.6 not working Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-25 20:01:29 +00:00
- Fixed an issue with `Trainer.from_argparse_args` when passing in unknown Trainer args ([#1932](https://github.com/PyTorchLightning/pytorch-lightning/pull/1932))
LearningRateLogger in multi-scheduler setting (#1944) * fixed undesired behaviour due to dict.fromkeys * a test for log length consistency * runtime-warn if no schedulers are configured * chlog * move Co-authored-by: Jirka <jirka@pytorchlightning.ai>
2020-05-28 02:44:46 +00:00
- Fixed bug related to logger not being reset correctly for model after tuner algorithms ([#1933](https://github.com/PyTorchLightning/pytorch-lightning/pull/1933))
code guideline (#1949) * code rule * Apply suggestions from code review Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> * chlog Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
2020-05-28 14:40:49 +00:00
- Fixed root node resolution for SLURM cluster with dash in host name ([#1954](https://github.com/PyTorchLightning/pytorch-lightning/pull/1954))
- Fixed `LearningRateLogger` in multi-scheduler setting ([#1944](https://github.com/PyTorchLightning/pytorch-lightning/pull/1944))
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
- Fixed test configuration check and testing ([#1804](https://github.com/PyTorchLightning/pytorch-lightning/pull/1804))
- Fixed an issue with Trainer constructor silently ignoring unknown/misspelled arguments ([#1820](https://github.com/PyTorchLightning/pytorch-lightning/pull/1820))
- Fixed `save_weights_only` in ModelCheckpoint ([#1780](https://github.com/PyTorchLightning/pytorch-lightning/pull/1780))
fix(wandb): use same logger on multiple training loops (#2055) * fix(wandb): use same logger on multiple training loops New training loops reset step to 0 which would previously try to overwrite logs fix #2015 * docs(changelog.md): add reference to PR 2055
2020-06-02 22:46:02 +00:00
- Allow use of same `WandbLogger` instance for multiple training loops ([#2055](https://github.com/PyTorchLightning/pytorch-lightning/pull/2055))
update hparams, allow OmegaConf (#2047) * DictConf * inits * Apply suggestions from code review Co-authored-by: Omry Yadan <omry@fb.com> * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * atrib * wip * wip * wip * added hparams test * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * wip * Update test_hparams.py * added hparams test * added hparams test * pep8 * pep8 * pep8 * docs * wip * wip * clean * review @omry * Update docs/source/hyperparameters.rst Co-authored-by: Omry Yadan <omry@fb.com> Co-authored-by: Omry Yadan <omry@fb.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-06-08 11:19:34 +00:00
- Fixed an issue with `_auto_collect_arguments` collecting local variables that are not constructor arguments and not working for signatures that have the instance not named `self` ([#2048](https://github.com/PyTorchLightning/pytorch-lightning/pull/2048))
Docs/changelog (#2125) * miss chlog * miss chlog * docs * miss * formatting
2020-06-09 20:51:14 +00:00
- Fixed mistake in parameters' grad norm tracking ([#2012](https://github.com/PyTorchLightning/pytorch-lightning/pull/2012))
- Fixed CPU and hanging GPU crash ([#2118](https://github.com/PyTorchLightning/pytorch-lightning/pull/2118))
Refactor model summary + generalize example input array (#1773) * squash variant a variant b add test revert rename add changelog docs move changelog entry to top use hooks wip wipp layer summary clean up, refactor type hints rename remove obsolete code rename unused imports simplify formatting of table and increase readability doctest superclass object update examples print unknown sizes more docs and doctest testing unknown layers add rnn test remove main restore train mode test device wip device constant simplify model forward transfer return summary object in method extend tests fix summary for empty module extend tests refactor and added hook variant a variant b add test revert rename add changelog docs move changelog entry to top remove hardcoded string simplify test unknown shapes and all others comments for tests fix hparams attribute * update default * unused import * clean up * replace hardcoded strings * fix doctest * fix top/full * black * fix rnn test * fix rnn * update debugging docs update docs typo update docs update docs * add changelog * extract constant * setter and getter * move parity models to test folder * parameterize mode
2020-06-15 21:05:58 +00:00
- Fixed an issue with the model summary and `example_input_array` depending on a specific ordering of the submodules in a LightningModule ([#1773](https://github.com/PyTorchLightning/pytorch-lightning/pull/1773))
final cleanup for v0.8.0 (#2181) * final clean for v0.8.0 * chlog * chlog * date * rename stage * date * missing
2020-06-18 11:21:44 +00:00
- Fixed Tpu logging ([#2230](https://github.com/PyTorchLightning/pytorch-lightning/pull/2230))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed Pid port + duplicate `rank_zero` logging ([#2140](https://github.com/PyTorchLightning/pytorch-lightning/pull/2140),
[#2231](https://github.com/PyTorchLightning/pytorch-lightning/pull/2231))
Refactor model summary + generalize example input array (#1773) * squash variant a variant b add test revert rename add changelog docs move changelog entry to top use hooks wip wipp layer summary clean up, refactor type hints rename remove obsolete code rename unused imports simplify formatting of table and increase readability doctest superclass object update examples print unknown sizes more docs and doctest testing unknown layers add rnn test remove main restore train mode test device wip device constant simplify model forward transfer return summary object in method extend tests fix summary for empty module extend tests refactor and added hook variant a variant b add test revert rename add changelog docs move changelog entry to top remove hardcoded string simplify test unknown shapes and all others comments for tests fix hparams attribute * update default * unused import * clean up * replace hardcoded strings * fix doctest * fix top/full * black * fix rnn test * fix rnn * update debugging docs update docs typo update docs update docs * add changelog * extract constant * setter and getter * move parity models to test folder * parameterize mode
2020-06-15 21:05:58 +00:00
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
## [0.7.6] - 2020-05-16
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Added
Learning rate log callback (#1498) * base implementation * docs + implementation * fix styling * add lr string * renaming * CHANGELOG.md * add tests * Apply suggestions from code review Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update pytorch_lightning/callbacks/lr_logger.py * Update pytorch_lightning/callbacks/lr_logger.py * add test for naming * base implementation * docs + implementation * fix styling * add lr string * renaming * CHANGELOG.md * add tests * Apply suggestions from code review Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * Apply suggestions from code review * Update pytorch_lightning/callbacks/lr_logger.py * Update pytorch_lightning/callbacks/lr_logger.py * add test for naming * Update pytorch_lightning/callbacks/lr_logger.py Co-Authored-By: Adrian Wälchli <aedu.waelchli@gmail.com> * suggestions from code review * fix styling * rebase * fix tests Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-04-30 12:06:41 +00:00
- Added callback for logging learning rates ([#1498](https://github.com/PyTorchLightning/pytorch-lightning/pull/1498))
Transfer learning example (#1564) * Fine tuning example. * Fix (in train method) + Borda's comments (added argparse + fixed docstrings). * Updated CHANGELOG.md * Fix + updated docstring. * Fixes (awaelchli's comments) + docstrings. * Fix train/val loss. * Fix.
2020-05-02 13:08:46 +00:00
- Added transfer learning example (for a binary classification task in computer vision) ([#1564](https://github.com/PyTorchLightning/pytorch-lightning/pull/1564))
Update type hints for multiple dataloaders in .fit() and .test() (#1723) * update typehints * change log
2020-05-04 12:24:34 +00:00
- Added type hints in `Trainer.fit()` and `Trainer.test()` to reflect that also a list of dataloaders can be passed in ([#1723](https://github.com/PyTorchLightning/pytorch-lightning/pull/1723)).
Feature: auto scale batch size (#1638) * auto batch finder * fix styling * add description * add different modes * fix copy paste error * better organised code * fix styling * add tests * fix * fix * add some documentation * added CHANGELOG.md * some documentation * update based on review * Update trainer.py * Update docs/source/training_tricks.rst Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update tests/trainer/test_trainer_tricks.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/trainer/test_trainer_tricks.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * use EvalModelTemplate * param tests * rename * wrap params * rename function * rename * rename param * fix * abs * rename * refactor code * add docs * try * arg * loop * exept * loop * drop bool * docs * docs * added check and test for passing dataloader to fit * styling fix * update based on review Co-authored-by: Nicki Skafte <nugginea@gmail.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-09 12:28:36 +00:00
- Added auto scaling of batch size ([#1638](https://github.com/PyTorchLightning/pytorch-lightning/pull/1638))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- The progress bar metrics now also get updated in `training_epoch_end` ([#1724](https://github.com/PyTorchLightning/pytorch-lightning/pull/1724))
- Enable `NeptuneLogger` to work with `distributed_backend=ddp` ([#1753](https://github.com/PyTorchLightning/pytorch-lightning/pull/1753))
Option to provide seed to random generators to ensure reproducibility (#1572) * Option to provide seed to random generators to ensure reproducibility I added small function in utilities which imports torch, numpy, python random and sets seed for all of the libraries to ensure reproducibility of results. * Apply recommendations from core contributors on seeding 1. Moved the seeding code to another file 2. Make deterministic as a parameter for trainer class 3. Add assertions for seeding numpy 4. Added warnings 5. torch.manual_seed should be enough for seeding torch * Revert "Apply recommendations from core contributors on seeding" This reverts commit a213c8e6882eec8a9e7408b9418926d2db7c5461. * Revert "Revert "Apply recommendations from core contributors on seeding"" This reverts commit 59b2da53c62878de7aab0aa3feb3115e105eea06. * Change in test, for correct seeding * Allow seed equal to 0 * Allow seed to be uint32.max * Added deterministic to benchmarks * Cuda manual seed as in benchmark seeding * Seeding should be done before model initialization * cuda manual_seed is not necessary * Fixing seed test_cpu_lbfgs On some seeds seems like lbfgs doesn't converge. So I fixed the seed during testing. * rebasing issue with old reproducibility.py * Improved documentation and ability to seed before initializing Train class * Change in docs * Removed seed from trainer, update for documentation * Typo in the docs * Added seed_everything to _all_ * Fixing old changes * Model initialization should be earlier then Trainer * Update pytorch_lightning/trainer/__init__.py From Example to testcode Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Fixing according to the contributors suggestions * Moving horovod deterministic to Trainer class * deterministic flag affects horovod docs update * Improved static typing * Added deterministic to test runners of horovod It is failing on some versions, not very predictable * static seeds for horovod tests * Change for reset_seed function in tests * Seeding horovod using reset_seed from tutils * Update pytorch_lightning/trainer/__init__.py * chlog * Update trainer.py * change "testcode" to "Example" in trainer init documentation * Update pytorch_lightning/trainer/seed.py, first line in comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-05-12 11:53:20 +00:00
- Added option to provide seed to random generators to ensure reproducibility ([#1572](https://github.com/PyTorchLightning/pytorch-lightning/pull/1572))
added override for hparams in load_from_ckpt (#1797) * added override for hparams in load_from_ckpt * override hparams * override hparams * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update doctest * typo * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-13 08:27:22 +00:00
- Added override for hparams in `load_from_ckpt` ([#1797](https://github.com/PyTorchLightning/pytorch-lightning/pull/1797))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added support multi-node distributed execution under `torchelastic` ([#1811](https://github.com/PyTorchLightning/pytorch-lightning/pull/1811),
[#1818](https://github.com/PyTorchLightning/pytorch-lightning/pull/1818))
- Added using `store_true` for bool args ([#1822](https://github.com/PyTorchLightning/pytorch-lightning/pull/1822),
[#1842](https://github.com/PyTorchLightning/pytorch-lightning/pull/1842))
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
- Added dummy logger for internally disabling logging for some features ([#1836](https://github.com/PyTorchLightning/pytorch-lightning/pull/1836))
added override for hparams in load_from_ckpt (#1797) * added override for hparams in load_from_ckpt * override hparams * override hparams * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * update doctest * typo * chlog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-13 08:27:22 +00:00
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Changed
Attach version_ to checkpoint path only if version is int (#1748)
2020-05-06 16:38:32 +00:00
Enable non-blocking for gpu device transfer (#1843) * Update distrib_parts.py * Update CHANGELOG.md
2020-05-14 21:56:40 +00:00
- Enable `non-blocking` for device transfers to GPU ([#1843](https://github.com/PyTorchLightning/pytorch-lightning/pull/1843))
Replace meta_tags.csv with hparams.yaml (#1271) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict * mata_tags.csv -> hparams.yaml * code style fixes * add pyyaml * remove unused import * create the member NAME_HPARAMS_FILE * improve tests * Update tensorboard.py * pass the local test w/o relavents of Horovod * formatting * update dependencies * fix dependencies * Apply suggestions from code review * add savings * warn * docstrings * tests * Apply suggestions from code review * saving * Apply suggestions from code review * use default * remove logging * typo fixes * update docs * update CHANGELOG * clean imports * add blank lines * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * back to namespace * add docs * test fix * update dependencies * add space Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-13 13:05:15 +00:00
- Replace mata_tags.csv with hparams.yaml ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
[WIP] Reduction when batch size < num gpus (#1609) * reduce if <= num_gpus * add test with explanation * chlog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-05-02 15:01:44 +00:00
- Reduction when `batch_size < num_gpus` ([#1609](https://github.com/PyTorchLightning/pytorch-lightning/pull/1609))
Bugfix/lr finder (#1676) * fix early stopping bug * allow val dataloader * update CHANGELOG.md * fix early stopping bug * allow val dataloader * update CHANGELOG.md Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-04 15:38:51 +00:00
- Updated LightningTemplateModel to look more like Colab example ([#1577](https://github.com/PyTorchLightning/pytorch-lightning/pull/1577))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- Don't convert `namedtuple` to `tuple` when transferring the batch to target device ([#1589](https://github.com/PyTorchLightning/pytorch-lightning/pull/1589))
- Allow passing hparams as keyword argument to LightningModule when loading from checkpoint ([#1639](https://github.com/PyTorchLightning/pytorch-lightning/pull/1639))
release 0.7.6 (#1813) * release 0.7.6rc2 * release 0.7.6 * include img * smaller image * missing * miss * miss * miss * up
2020-05-15 12:36:40 +00:00
- Args should come after the last positional argument ([#1807](https://github.com/PyTorchLightning/pytorch-lightning/pull/1807))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Made ddp the default if no backend specified with multiple GPUs ([#1789](https://github.com/PyTorchLightning/pytorch-lightning/pull/1789))
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Deprecated
Replace meta_tags.csv with hparams.yaml (#1271) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict * mata_tags.csv -> hparams.yaml * code style fixes * add pyyaml * remove unused import * create the member NAME_HPARAMS_FILE * improve tests * Update tensorboard.py * pass the local test w/o relavents of Horovod * formatting * update dependencies * fix dependencies * Apply suggestions from code review * add savings * warn * docstrings * tests * Apply suggestions from code review * saving * Apply suggestions from code review * use default * remove logging * typo fixes * update docs * update CHANGELOG * clean imports * add blank lines * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Update pytorch_lightning/core/lightning.py Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * back to namespace * add docs * test fix * update dependencies * add space Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-13 13:05:15 +00:00
- Deprecated `tags_csv` in favor of `hparams_file` ([#1271](https://github.com/PyTorchLightning/pytorch-lightning/pull/1271))
changelog (#1643)
2020-04-28 10:27:53 +00:00
### Fixed
RC & Docs/changelog (#1776) * missing * RC * tol * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * test Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-12 01:57:53 +00:00
- Fixed broken link in PR template ([#1675](https://github.com/PyTorchLightning/pytorch-lightning/pull/1675))
- Fixed ModelCheckpoint not None checking filepath ([#1654](https://github.com/PyTorchLightning/pytorch-lightning/pull/1654))
- Trainer now calls `on_load_checkpoint()` when resuming from a checkpoint ([#1666](https://github.com/PyTorchLightning/pytorch-lightning/pull/1666))
- Fixed sampler logic for ddp with iterable dataset ([#1734](https://github.com/PyTorchLightning/pytorch-lightning/pull/1734))
- Fixed `_reset_eval_dataloader()` for IterableDataset ([#1560](https://github.com/PyTorchLightning/pytorch-lightning/pull/1560))
Fix Horovod distributed backend to set the root_gpu property (#1669) * params * drop acc * Fix Horovod distributed backend to set the root_gpu * Fixed test * Fixed tests * Fixed lint * Set root_gpu during initialization * chlog Co-authored-by: Jirka <jirka.borovec@seznam.cz>
2020-05-01 18:13:35 +00:00
- Fixed Horovod distributed backend to set the `root_gpu` property ([#1669](https://github.com/PyTorchLightning/pytorch-lightning/pull/1669))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Fixed wandb logger `global_step` affects other loggers ([#1492](https://github.com/PyTorchLightning/pytorch-lightning/pull/1492))
Fix disabling progress bar on non-zero ranks using Horovod backend (#1709) * Fix Horovod backend to disable progress bar on all ranks except 0 * Add join barriers * Added changelog * Make protected and add verbosity * Refactor to disable progress bar callback in train * Removed vebose setting * Add cache check for Horovod * Test run again * Updated comment * Always skip cache for Horovod * Only reinstall when necessary * Added separate step * Fixed spacing * Skip Python 3.8
2020-05-04 17:02:57 +00:00
- Fixed disabling progress bar on non-zero ranks using Horovod backend ([#1709](https://github.com/PyTorchLightning/pytorch-lightning/pull/1709))
Bugfix/lr finder (#1676) * fix early stopping bug * allow val dataloader * update CHANGELOG.md * fix early stopping bug * allow val dataloader * update CHANGELOG.md Co-authored-by: Nicki Skafte <nugginea@gmail.com>
2020-05-04 15:38:51 +00:00
- Fixed bugs that prevent lr finder to be used together with early stopping and validation dataloaders ([#1676](https://github.com/PyTorchLightning/pytorch-lightning/pull/1676))
Attach version_ to checkpoint path only if version is int (#1748)
2020-05-06 16:38:32 +00:00
- Fixed a bug in Trainer that prepended the checkpoint path with `version_` when it shouldn't ([#1748](https://github.com/PyTorchLightning/pytorch-lightning/pull/1748))
Fix lr key name in case of param groups (#1719) * Fix lr key name in case of param groups * Add tests * Update test and added configure_optimizers__param_groups * Update CHANGELOG
2020-05-10 21:05:34 +00:00
- Fixed lr key name in case of param groups in LearningRateLogger ([#1719](https://github.com/PyTorchLightning/pytorch-lightning/pull/1719))
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))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Fixed saving native AMP scaler state ([#1777](https://github.com/PyTorchLightning/pytorch-lightning/pull/1777))
continue devel (#1793) * miss * miss * miss * update * format
2020-05-17 12:30:45 +00:00
- Fixed native amp + ddp ([#1788](https://github.com/PyTorchLightning/pytorch-lightning/pull/1788))
- Fixed `hparam` logging with metrics ([#1647](https://github.com/PyTorchLightning/pytorch-lightning/pull/1647))
releasing
2020-04-27 14:20:32 +00:00
## [0.7.5] - 2020-04-27
Add automatic GPU choice to trainer (#1426) * Add automatic GPU choice to trainer This commit adds the `gpu_choice` parameter to Trainer. By default, this parameter is set to 'manual' which causes no observable difference in behavior. When `gpu_choice` is set to "auto" and `gpus` is an int, then the trainer will automatically allocate the first available GPU. This is especially useful when GPUs are configured to be in "exclusive mode", which means that only one process at a time can use them. * Rename gpu_choice -> auto_select_gpus
2020-04-10 15:45:29 +00:00
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
### Changed
None check for filepath in ModelCheckpoint (#1654) Check if the optional filepath is None before checking if it exists Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-04-29 16:36:28 +00:00
releasing
2020-04-27 14:20:32 +00:00
- Allow logging of metrics together with `hparams` ([#1630](https://github.com/PyTorchLightning/pytorch-lightning/pull/1630))
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 `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))
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Added support for DDP mode in clusters without SLURM ([#1387](https://github.com/PyTorchLightning/pytorch-lightning/pull/1387))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- 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))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Added `ddp_cpu` backend for testing ddp without GPUs ([#1158](https://github.com/PyTorchLightning/pytorch-lightning/pull/1158))
Added Horovod distributed backend (#1529) * Initial commit of Horovod distributed backend implementation * Update distrib_data_parallel.py * Update distrib_data_parallel.py * Update tests/models/test_horovod.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update tests/models/test_horovod.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fixed tests * Added six * tests * Install tox for GitHub CI * Retry tests * Catch all exceptions * Skip cache * Remove tox * Restore pip cache * Remove the cache * Restore pip cache * Remove AMP Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-22 21:39:08 +00:00
- Added [Horovod](http://horovod.ai) support as a distributed backend `Trainer(distributed_backend='horovod')` ([#1529](https://github.com/PyTorchLightning/pytorch-lightning/pull/1529))
fix changelog (#1583)
2020-04-23 20:57:37 +00:00
- Added support for 8 core distributed training on Kaggle TPU's ([#1568](https://github.com/PyTorchLightning/pytorch-lightning/pull/1568))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added support for native AMP ([#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561),
[#1580](https://github.com/PyTorchLightning/pytorch-lightning/pull/1580))
check for kaggle env variable (#1568) * check for kaggle env variable * added changelog
2020-04-23 11:12:54 +00:00
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Changed
v0.1.3.0rc3 + changelogs (#7388) * v0.1.3.0rc3 * spaces * wip * wip * wip * wip * prune * wip * wip * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
2021-05-06 11:28:10 +00:00
- Changed the default behaviour to no longer include a NaN check with each training iteration ([#1475](https://github.com/PyTorchLightning/pytorch-lightning/pull/1475))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Decoupled the progress bar from trainer` it is a callback now and can be customized or even be replaced entirely ([#1450](https://github.com/PyTorchLightning/pytorch-lightning/pull/1450)).
- Changed lr schedule step interval behavior to update every backwards pass instead of every forwards pass ([#1477](https://github.com/PyTorchLightning/pytorch-lightning/pull/1477))
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
- Defines shared proc. rank, remove rank from instances (e.g. loggers) ([#1408](https://github.com/PyTorchLightning/pytorch-lightning/pull/1408))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Updated semantic segmentation example with custom U-Net and logging ([#1371](https://github.com/PyTorchLightning/pytorch-lightning/pull/1371))
- Disabled val and test shuffling ([#1600](https://github.com/PyTorchLightning/pytorch-lightning/pull/1600))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Deprecated
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Deprecated `training_tqdm_dict` in favor of `progress_bar_dict` ([#1450](https://github.com/PyTorchLightning/pytorch-lightning/pull/1450)).
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Removed
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Removed `test_dataloaders` parameter from `Trainer.fit()` ([#1434](https://github.com/PyTorchLightning/pytorch-lightning/pull/1434))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
### Fixed
Nested metrics dictionaries now can be passed to the loggers (#1582) * now func merge_dicts works with nested dictionaries * CHANGELOG.md upd
2020-04-23 21:32:36 +00:00
- Added the possibility to pass nested metrics dictionaries to loggers ([#1582](https://github.com/PyTorchLightning/pytorch-lightning/pull/1582))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Fixed memory leak from opt return ([#1528](https://github.com/PyTorchLightning/pytorch-lightning/pull/1528))
feat: save checkpoint before deleting old ones (#1453) * feat: save checkpoint before deleting old ones * fix: make sure that the new model is not deleted * changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-16 16:40:51 +00:00
- Fixed saving checkpoint before deleting old ones ([#1453](https://github.com/PyTorchLightning/pytorch-lightning/pull/1453))
fix flushing loggers (#1459) * flushing loggers * flushing loggers * flushing loggers * flushing loggers * changelog * typo * fix trains * optimize imports * add logger test all * add logger test pickle * flake8 * fix benchmark * hanging loggers * try * del * all * cleaning
2020-04-15 00:32:33 +00:00
- Fixed loggers - flushing last logged metrics even before continue, e.g. `trainer.test()` results ([#1459](https://github.com/PyTorchLightning/pytorch-lightning/pull/1459))
fix changelog (#1452) * fix changelog * formatting * add ddp_cpu * docs * add another
2020-04-20 21:36:26 +00:00
- Fixed optimizer configuration when `configure_optimizers` returns dict without `lr_scheduler` ([#1443](https://github.com/PyTorchLightning/pytorch-lightning/pull/1443))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed `LightningModule` - mixing hparams and arguments in `LightningModule.__init__()` crashes load_from_checkpoint() ([#1505](https://github.com/PyTorchLightning/pytorch-lightning/pull/1505))
None check for filepath in ModelCheckpoint (#1654) Check if the optional filepath is None before checking if it exists Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2020-04-29 16:36:28 +00:00
- Added a missing call to the `on_before_zero_grad` model hook ([#1493](https://github.com/PyTorchLightning/pytorch-lightning/pull/1493)).
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Allow use of sweeps with `WandbLogger` ([#1512](https://github.com/PyTorchLightning/pytorch-lightning/pull/1512))
Fix callback default (horror bug!) (#1534) * fix horror bug * update changelog * fix doctest * liine too long
2020-04-20 11:02:53 +00:00
- Fixed a bug that caused the `callbacks` Trainer argument to reference a global variable ([#1534](https://github.com/PyTorchLightning/pytorch-lightning/pull/1534)).
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed a bug that set all boolean CLI arguments from `Trainer.add_argparse_args` always to True ([#1571](https://github.com/PyTorchLightning/pytorch-lightning/pull/1571))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed do not copy the batch when training on a single GPU ([#1576](https://github.com/PyTorchLightning/pytorch-lightning/pull/1576),
[#1579](https://github.com/PyTorchLightning/pytorch-lightning/pull/1579))
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
- Fixed soft checkpoint removing on DDP ([#1408](https://github.com/PyTorchLightning/pytorch-lightning/pull/1408))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed automatic parser bug ([#1585](https://github.com/PyTorchLightning/pytorch-lightning/pull/1585))
- Fixed bool conversion from string ([#1606](https://github.com/PyTorchLightning/pytorch-lightning/pull/1606))
Clean up Argparse interface with trainer (#1606) * fixed distutil parsing * fixed distutil parsing * Apply suggestions from code review * log * fixed distutil parsing * fixed distutil parsing * fixed distutil parsing * fixed distutil parsing * doctest * fixed hparams section * fixed hparams section * fixed hparams section * formatting Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-26 13:20:06 +00:00
add rank warning (#1428) * add rank warning * changelog * use rank_zero_warn * user trainer_init * replace warnings * fix test * flake8 * docs * changelog * bug lol
2020-04-09 18:05:46 +00:00
## [0.7.3] - 2020-04-09
### Added
- Added `rank_zero_warn` for warning only in rank 0 ([#1428](https://github.com/PyTorchLightning/pytorch-lightning/pull/1428))
### Fixed
- Fixed default `DistributedSampler` for DDP training ([#1425](https://github.com/PyTorchLightning/pytorch-lightning/pull/1425))
- Fixed workers warning not on windows ([#1430](https://github.com/PyTorchLightning/pytorch-lightning/pull/1430))
fix retruning returns (#1431) * returns * changelog
2020-04-09 19:01:08 +00:00
- Fixed returning tuple from `run_training_batch` ([#1431](https://github.com/PyTorchLightning/pytorch-lightning/pull/1431))
fix pretty print (#1441) * grid sample * grid sample * grid sample * grid sample * grid sample * changelog * version Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-10 12:43:22 +00:00
- Fixed gradient clipping ([#1438](https://github.com/PyTorchLightning/pytorch-lightning/pull/1438))
- Fixed pretty print ([#1441](https://github.com/PyTorchLightning/pytorch-lightning/pull/1441))
add rank warning (#1428) * add rank warning * changelog * use rank_zero_warn * user trainer_init * replace warnings * fix test * flake8 * docs * changelog * bug lol
2020-04-09 18:05:46 +00:00
model checkpint on rank_zero_only & global rank state (#1408) * try delete in async or DDP us0-ecase * changelog * add model chekpoint rank * simple delete * flake8 * use global rank * chnagelog * fix review * fix import * proposal * proposal * proposal * improve proposal (fix problems with method call self) * cleaning Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-24 21:21:00 +00:00
add pypi user (#1401) * add pypi user * changelog * changelog
2020-04-07 13:49:38 +00:00
## [0.7.2] - 2020-04-07
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Added
Added accumulation of loggers' metrics for the same steps (#1278) * `add_argparse_args` method fixed (argument types added) * autopep8 fixes * --gpus=0 removed from test (for ci tests) * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> * test_with_accumulate_grad_batches added * agg_and_log_metrics logic added to the base logger class * small format fix * agg metrics strategies removed (not to complicate stuff) * agg metrics: handle zero step * autopep8 * changelog upd * flake fix * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove .item which causes sync issues (#1254) * remove .item which causes sync issues * fixed gradient acc sched * fixed gradient acc sched * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * autopep8 * loggers base.py types fixed * test * test * metrics aggregation for loggers: each key now has a specific function (or default one) * metrics aggregation for loggers: each key now has a specific function (or default one) * docstrings upd * manual typehints removed from docstrings * batch_size decreased for test `test_with_accumulate_grad_batches` * extend running accum * refactor * fix tests * fix tests * allowed_types generator scoped * trainer.py distutils was imported twice, fixed * TensorRunningAccum refactored * TensorRunningAccum added to change log (Changed) * change log pull link added Co-authored-by: Joe Davison <joe@huggingface.co> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-08 12:35:47 +00:00
- Added same step loggers' metrics aggregation ([#1278](https://github.com/PyTorchLightning/pytorch-lightning/pull/1278))
simplify examples structure (#1247) * simplify examples structure * update changelog * fix imports * rename example * rename scripts * changelog
2020-04-03 21:57:34 +00:00
- Added parity test between a vanilla MNIST model and lightning model ([#1284](https://github.com/PyTorchLightning/pytorch-lightning/pull/1284))
- Added parity test between a vanilla RNN model and lightning model ([#1351](https://github.com/PyTorchLightning/pytorch-lightning/pull/1351))
Example: Simple RL example using DQN/Lightning (#1232) * Example: Simple RL example using DQN/Lightning * DQN RL Agent using Lightning * Uses Iterable Dataset for Replay Buffer * Buffer is populated by agent as training is carried out, updating the dataset * Applied autopep8 fixes * * Updated line length from 120 to 110 * Update pl_examples/domain_templates/dqn.py simplify get_device method Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pl_examples/domain_templates/dqn.py Re-ordered imports Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * CI: split tests-examples (#990) * CI: split tests-examples * tests without template * comment depends * CircleCI typo * add doctest * update test req. * CI tests * setup macOS * longer train * lover pred acc * fix model * rename default model * lower tests acc * typo * imports * fix test optimizer * update calls * fix Win * lower Drone image * fix call * pytorch image * fix test * add dev image * add dev image * update image * drone volume * lint * update test notes * rename tests/models >> tests/base * group models * conftest * optim imports * typos * fix import * fix tests * install AMP * tests * fix import * Clean up * added module docstring * renamed variables to be more descriptive * Added missing docstrings and type annotations * Added gym to example requirements * Added note to changelog * updated example image * update types * rename script * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * another rename * Disable validation when val_percent_check=0 (#1251) * fix disable validation * add test * update changelog * update docs for val_percent_check * make "fast training" docs consistent * calling self.forward() -> self() (#1211) * self.forward() -> self() * update changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Fix requirements-extra.txt Trains package to release version (#1229) * Fix requirement-extra use released Trains package * Update README.md add Trains and links to the external Visualization section Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Remove unnecessary parameters to super() in documentation and source code (#1240) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * update deprecation warning (#1258) * update docs for progress bat values (#1253) * lower timeouts for inactive issues (#1250) * update contrib list (#1241) Co-authored-by: William Falcon <waf2107@columbia.edu> * Fix outdated docs (#1227) * Fix typo (#1224) * drop unused Tox (#1242) * system info (#1234) * system info * update big info * test script * update config * rename script * import path * Changed smoothing in tqdm to decrease variability of time remaining between training / eval (#1194) * Example: Simple RL example using DQN/Lightning * DQN RL Agent using Lightning * Uses Iterable Dataset for Replay Buffer * Buffer is populated by agent as training is carried out, updating the dataset * Applied autopep8 fixes * * Updated line length from 120 to 110 * Update pl_examples/domain_templates/dqn.py simplify get_device method Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pl_examples/domain_templates/dqn.py Re-ordered imports Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Clean up * added module docstring * renamed variables to be more descriptive * Added missing docstrings and type annotations * Added gym to example requirements * Added note to changelog * update types * rename script * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * another rename Co-authored-by: Donal Byrne <Donal.Byrne@xperi.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch> Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com> Co-authored-by: Martin.B <51887611+bmartinn@users.noreply.github.com> Co-authored-by: Tyler Yep <tyep@stanford.edu> Co-authored-by: Shunta Komatsu <59395084+skmatz@users.noreply.github.com> Co-authored-by: Jack Pertschuk <jackpertschuk@gmail.com>
2020-03-28 20:10:53 +00:00
- Added Reinforcement Learning - Deep Q-network (DQN) lightning example ([#1232](https://github.com/PyTorchLightning/pytorch-lightning/pull/1232))
Support hierarchical dict (#1152) * Add support for hierarchical dict * Support nested Namespace * Add docstring * Migrate hparam flattening to each logger * Modify URLs in CHANGELOG * typo * Simplify the conditional branch about Namespace Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * added examples section to docstring * renamed _dict -> input_dict Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-19 13:15:47 +00:00
- Added support for hierarchical `dict` ([#1152](https://github.com/PyTorchLightning/pytorch-lightning/pull/1152))
Add TRAINS experiment manager support (#1122) * Add allegro.ai TRAINS experiment manager support * improve docstring and type hinting, fix the bug in log_metrics, add support torch.Tensor to input into log_image * complete missing docstring of constructor's arguments * fix docs * pep8 * pep8 * remove redundant typing use logging fix typing and pep8 * remove deprecated interface * add TrainsLogger test * add TrainsLogger PR in CHANGELOG * add id/name property documentation * change logging as log Co-authored-by: bmartinn <> Co-authored-by: Sou Uchida <s.aiueo32@gmail.com>
2020-03-14 17:02:14 +00:00
- Added `TrainsLogger` class ([#1122](https://github.com/PyTorchLightning/pytorch-lightning/pull/1122))
Type Hints for Lightning Core (#946) * first pass for LightningModule typehints * fix return types * add missing types * add type annotations to grads.py * add type annotations to hooks.py * add type annotation to memory.py * proper docstring quotation marks * add type annotations to saving.py * fix cyclic import problem * fix cyclic import problem * add missing whitespace * finish type hints for load_from_ methods * docs: prepare_data does not return anything * fix auto types in docs * revert typehint for trainer in hook * remove unnecessary return docs * some fixes for memory docs * revert typing for args kwargs * added all missing None return types * remove unused import * add more details to dict/list return types * fix line too long * optimize imports * linted * Revert "linted" This reverts commit 85559611e84e312bce64f4e73b638d4999a8439e. * remove whitespace * update * update * update * update * update * changelog Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-12 16:47:23 +00:00
- Added type hints to `pytorch_lightning.core` ([#946](https://github.com/PyTorchLightning/pytorch-lightning/pull/946))
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Added support for `IterableDataset` in validation and testing ([#1104](https://github.com/PyTorchLightning/pytorch-lightning/pull/1104))
- Added support for non-primitive types in `hparams` for `TensorboardLogger` ([#1130](https://github.com/PyTorchLightning/pytorch-lightning/pull/1130))
- Added a check that stops the training when loss or weights contain `NaN` or `inf` values. ([#1097](https://github.com/PyTorchLightning/pytorch-lightning/pull/1097))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Added support for `IterableDataset` when `val_check_interval=1.0` (default), this will trigger validation at the end of each epoch. ([#1283](https://github.com/PyTorchLightning/pytorch-lightning/pull/1283))
- Added `summary` method to Profilers. ([#1259](https://github.com/PyTorchLightning/pytorch-lightning/pull/1259))
- Added informative errors if user defined dataloader has zero length ([#1280](https://github.com/PyTorchLightning/pytorch-lightning/pull/1280))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Added testing for python 3.8 ([#915](https://github.com/PyTorchLightning/pytorch-lightning/pull/915))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Added model configuration checking ([#1199](https://github.com/PyTorchLightning/pytorch-lightning/pull/1199))
- Added support for optimizer frequencies through `LightningModule.configure_optimizers()` ([#1269](https://github.com/PyTorchLightning/pytorch-lightning/pull/1269))
- Added option to run without an optimizer by returning `None` from `configure_optimizers`. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
Add warning for few workers (#1378) * Add warning for few workers * Fix style issue * Update CHANGELOG.md * Update test * formatting * formatting Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-05 15:07:16 +00:00
- Added a warning when the number of data loader workers is small. ([#1378](https://github.com/PyTorchLightning/pytorch-lightning/pull/1378))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
Remove default optimizer, add None optimizer option (#1279) * Add warning when using default optimizer * Refactor optimizer tests to test_optimizers * Remove default optimizer, add option to use no optimizer * Update CHANGELOG.md * Update pytorch_lightning/trainer/optimizers.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fix style Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-02 15:48:53 +00:00
### Changed
Added accumulation of loggers' metrics for the same steps (#1278) * `add_argparse_args` method fixed (argument types added) * autopep8 fixes * --gpus=0 removed from test (for ci tests) * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> * test_with_accumulate_grad_batches added * agg_and_log_metrics logic added to the base logger class * small format fix * agg metrics strategies removed (not to complicate stuff) * agg metrics: handle zero step * autopep8 * changelog upd * flake fix * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * metrics aggregators factored out, metrics_agg.py added + tests * metrics agg default value added * Update pytorch_lightning/loggers/metrics_agg.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove .item which causes sync issues (#1254) * remove .item which causes sync issues * fixed gradient acc sched * fixed gradient acc sched * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * test_metrics_agg.py removed (all tested in doctrings), agg metrics refactored * autopep8 * loggers base.py types fixed * test * test * metrics aggregation for loggers: each key now has a specific function (or default one) * metrics aggregation for loggers: each key now has a specific function (or default one) * docstrings upd * manual typehints removed from docstrings * batch_size decreased for test `test_with_accumulate_grad_batches` * extend running accum * refactor * fix tests * fix tests * allowed_types generator scoped * trainer.py distutils was imported twice, fixed * TensorRunningAccum refactored * TensorRunningAccum added to change log (Changed) * change log pull link added Co-authored-by: Joe Davison <joe@huggingface.co> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-08 12:35:47 +00:00
- Changed (renamed and refatored) `TensorRunningMean` -> `TensorRunningAccum`: running accumulations were generalized. ([#1278](https://github.com/PyTorchLightning/pytorch-lightning/pull/1278))
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- Changed `progress_bar_refresh_rate` trainer flag to disable progress bar when set to 0. ([#1108](https://github.com/PyTorchLightning/pytorch-lightning/pull/1108))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Enhanced `load_from_checkpoint` to also forward params to the model ([#1307](https://github.com/PyTorchLightning/pytorch-lightning/pull/1307))
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
- Updated references to `self.forward()` to instead use the `__call__` interface. ([#1211](https://github.com/PyTorchLightning/pytorch-lightning/pull/1211))
Remove default optimizer, add None optimizer option (#1279) * Add warning when using default optimizer * Refactor optimizer tests to test_optimizers * Remove default optimizer, add option to use no optimizer * Update CHANGELOG.md * Update pytorch_lightning/trainer/optimizers.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Fix style Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-02 15:48:53 +00:00
- Changed default behaviour of `configure_optimizers` to use no optimizer rather than Adam. ([#1279](https://github.com/PyTorchLightning/pytorch-lightning/pull/1279))
feat(wandb): save models on wandb (#1339) * feat(wandb): save models on wandb * docs(changelog): allow to upload models on W&B
2020-04-02 12:55:34 +00:00
- Allow to upload models on W&B ([#1339](https://github.com/PyTorchLightning/pytorch-lightning/pull/1339))
Removes need to unsqueeze from dp (#1319) * removes need to unsqueeze from dp * removes need to unsqueeze from dp * fixed examples * added auto unsqueeze * added auto unsqueeze * added auto unsqueeze * added auto unsqueeze * Update pytorch_lightning/overrides/data_parallel.py Co-Authored-By: Adrian Wälchli <adrian.waelchli@students.unibe.ch> * fixed dp parse * fixed dp parse Co-authored-by: Adrian Wälchli <adrian.waelchli@students.unibe.ch>
2020-04-02 15:46:20 +00:00
- On DP and DDP2 unsqueeze is automated now ([#1319](https://github.com/PyTorchLightning/pytorch-lightning/pull/1319))
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Did not always create a DataLoader during reinstantiation, but the same type as before (if subclass of DataLoader) ([#1346](https://github.com/PyTorchLightning/pytorch-lightning/pull/1346))
- Did not interfere with a default sampler ([#1318](https://github.com/PyTorchLightning/pytorch-lightning/pull/1318))
added warnings to unimplemented methods (#1317) * added warnings and removed default optimizer * opt * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-03 19:06:51 +00:00
- Remove default Adam optimizer ([#1317](https://github.com/PyTorchLightning/pytorch-lightning/pull/1317))
- Give warnings for unimplemented required lightning methods ([#1317](https://github.com/PyTorchLightning/pytorch-lightning/pull/1317))
- Made `evaluate` method private >> `Trainer._evaluate(...)`. ([#1260](https://github.com/PyTorchLightning/pytorch-lightning/pull/1260))
simplify examples structure (#1247) * simplify examples structure * update changelog * fix imports * rename example * rename scripts * changelog
2020-04-03 21:57:34 +00:00
- Simplify the PL examples structure (shallower and more readable) ([#1247](https://github.com/PyTorchLightning/pytorch-lightning/pull/1247))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Changed min max gpu memory to be on their own plots ([#1358](https://github.com/PyTorchLightning/pytorch-lightning/pull/1358))
- Remove `.item` which causes sync issues ([#1254](https://github.com/PyTorchLightning/pytorch-lightning/pull/1254))
- Changed smoothing in TQDM to decrease variability of time remaining between training / eval ([#1194](https://github.com/PyTorchLightning/pytorch-lightning/pull/1194))
- Change default logger to dedicated one ([#1064](https://github.com/PyTorchLightning/pytorch-lightning/pull/1064))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Deprecated
nan detection and intervention (#1097) * check for nan values * test nan detection on loss * sys.exit * whitespace * detect nan and inf values in loss and params * update * added documentation * moved detect nan to training loop, remove flag for print * blank line * test * rename * deprecate print_nan_grads * deprecated print_nan_grads * remove unused imports * update changelog * fix line too long * correct deprecated version Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * raise exception instead of sysexit Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * raise exception instead of sysexit Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/training_tricks.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/training_tricks.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix test Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-19 13:24:45 +00:00
- Deprecated Trainer argument `print_nan_grads` ([#1097](https://github.com/PyTorchLightning/pytorch-lightning/pull/1097))
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- Deprecated Trainer argument `show_progress_bar` ([#1108](https://github.com/PyTorchLightning/pytorch-lightning/pull/1108))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Removed
Remove error when test dataloader used in test (#1495) * remove error when test dataloader used in test * remove error when test dataloader used in test * remove error when test dataloader used in test * remove error when test dataloader used in test * remove error when test dataloader used in test * remove error when test dataloader used in test * fix lost model reference * remove error when test dataloader used in test * fix lost model reference * moved optimizer types * moved optimizer types * moved optimizer types * moved optimizer types * moved optimizer types * moved optimizer types * moved optimizer types * moved optimizer types * added tests for warning * fix lost model reference * fix lost model reference * added tests for warning * added tests for warning * refactoring * refactoring * fix imports * refactoring * fix imports * refactoring * fix tests * fix mnist * flake8 * review Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-16 02:16:40 +00:00
- Removed test for no test dataloader in .fit ([#1495](https://github.com/PyTorchLightning/pytorch-lightning/pull/1495))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Removed duplicated module `pytorch_lightning.utilities.arg_parse` for loading CLI arguments ([#1167](https://github.com/PyTorchLightning/pytorch-lightning/pull/1167))
add python 3.8 testing (#915) * add python 3.8 test * update info * py38 >> torch 1.2 * skip py38 minimal * changelog Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-02 16:20:45 +00:00
- Removed wandb logger's `finalize` method ([#1193](https://github.com/PyTorchLightning/pytorch-lightning/pull/1193))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Dropped `torchvision` dependency in tests and added own MNIST dataset class instead ([#986](https://github.com/PyTorchLightning/pytorch-lightning/pull/986))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
### Fixed
model_checkpoint to save all models (#1359) * model_checkpoint to save all models * changelog * rise if Co-authored-by: jamesjjcondon <jamesjjcondon@gmail.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-05 13:56:26 +00:00
- Fixed `model_checkpoint` when saving all models ([#1359](https://github.com/PyTorchLightning/pytorch-lightning/pull/1359))
- `Trainer.add_argparse_args` classmethod fixed. Now it adds a type for the arguments ([#1147](https://github.com/PyTorchLightning/pytorch-lightning/pull/1147))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed bug related to type checking of `ReduceLROnPlateau` lr schedulers([#1126](https://github.com/PyTorchLightning/pytorch-lightning/pull/1126))
Backward compatibility for checkpoint loading (#1132) * check if hparams_type exists in checkpoint dictionary for backward compatibility * concisely maintain backward compatibility for hparams type * Bug fix in checkpoint loading (#1132)
2020-03-17 22:45:36 +00:00
- Fixed a bug to ensure lightning checkpoints to be backward compatible ([#1132](https://github.com/PyTorchLightning/pytorch-lightning/pull/1132))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed a bug that created an extra dataloader with active `reload_dataloaders_every_epoch` ([#1196](https://github.com/PyTorchLightning/pytorch-lightning/pull/1196))
CI: Force docs warnings to be raised as errors (+ fix all) (#1191) * add argument to force warn * fix automodule error * fix permalink error * fix indentation warning * fix warning * fix import warnings * fix duplicate label warning * fix bullet point indentation warning * fix duplicate label warning * fix "import not top level" warning * line too long * fix indentation * fix bullet points indentation warning * fix hooks warnings * fix reference problem with excluded test_tube * fix indentation in print * change imports for trains logger * remove pandas type annotation * Update pytorch_lightning/core/lightning.py * include bullet points inside note * remove old quick start guide (unused) * fix unused warning * fix formatting * fix duplicate label issue * fix duplicate label warning (replaced by class ref) * fix tick * fix indentation warnings * docstring ticks * remove obsolete docstring typing * Revert "remove old quick start guide (unused)" This reverts commit d51bb40695442c8fa11bc9df74f6db56264f7509. * added old quick start guide to navigation * remove unused tutorials file * ignore some modules that got deprecated and are not used anymore * fix duplicate label warning * move examples doc and exclude pl_examples from autodoc * fix formatting for configure_optimizer * fix no blank line warnings * fix "see also" labels and add paramref extension * fix more reference problems * fix multi-gpu reference * fix weird warning * fix indentation and unrecognized characters in code block * fix warning "... not included in toctree" * fix PIL import error * fix duplicate target "here" warning * fix broken link * revert accidentally moved pl_examples * changelog * stdout * note some things to know Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-20 19:49:01 +00:00
- Fixed all warnings and errors in the docs build process ([#1191](https://github.com/PyTorchLightning/pytorch-lightning/pull/1191))
Disable validation when val_percent_check=0 (#1251) * fix disable validation * add test * update changelog * update docs for val_percent_check * make "fast training" docs consistent
2020-03-27 02:07:22 +00:00
- Fixed an issue where `val_percent_check=0` would not disable validation ([#1251](https://github.com/PyTorchLightning/pytorch-lightning/pull/1251))
fix incomplete RunningMean (#1309) * fix RunningMean * changelog * fix none * Update supporters.py just needed to multiply by zero for init * Revert "Update supporters.py" This reverts commit 7e0da6c6 * fix NaN * formatting Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-30 22:28:31 +00:00
- Fixed average of incomplete `TensorRunningMean` ([#1309](https://github.com/PyTorchLightning/pytorch-lightning/pull/1309))
Borisdayma: fix(wandb) - fix watch method (#1361) * fix(wandb): fix watch method * rebased * Apply suggestions from code review Co-authored-by: Boris Dayma <boris.dayma@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-04-03 19:02:38 +00:00
- Fixed `WandbLogger.watch` with `wandb.init()` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed an issue with early stopping that would prevent it from monitoring training metrics when validation is disabled / not implemented ([#1235](https://github.com/PyTorchLightning/pytorch-lightning/pull/1235)).
continues develop (#1419) * continues develop * changelog * typo
2020-04-10 17:10:46 +00:00
- Fixed a bug that would cause `trainer.test()` to run on the validation set when overloading `validation_epoch_end` and `test_end` ([#1353](https://github.com/PyTorchLightning/pytorch-lightning/pull/1353))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Fixed `WandbLogger.watch` - use of the watch method without importing `wandb` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed `WandbLogger` to be used with 'ddp' - allow reinits in sub-processes ([#1149](https://github.com/PyTorchLightning/pytorch-lightning/pull/1149),
[#1360](https://github.com/PyTorchLightning/pytorch-lightning/pull/1360))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Made `training_epoch_end` behave like `validation_epoch_end` ([#1357](https://github.com/PyTorchLightning/pytorch-lightning/pull/1357))
- Fixed `fast_dev_run` running validation twice ([#1365](https://github.com/PyTorchLightning/pytorch-lightning/pull/1365))
- Fixed pickle error from quick patch `__code__` ([#1352](https://github.com/PyTorchLightning/pytorch-lightning/pull/1352))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Fixed memory leak on GPU0 ([#1094](https://github.com/PyTorchLightning/pytorch-lightning/pull/1094),
[#1349](https://github.com/PyTorchLightning/pytorch-lightning/pull/1349))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed checkpointing interval ([#1272](https://github.com/PyTorchLightning/pytorch-lightning/pull/1272))
add forgotten change logs (#1380) * forgot change logs * more missing * more missing
2020-04-05 15:05:13 +00:00
- Fixed validation and training loops run the partial dataset ([#1192](https://github.com/PyTorchLightning/pytorch-lightning/pull/1192))
- Fixed running `on_validation_end` only on main process in DDP ([#1125](https://github.com/PyTorchLightning/pytorch-lightning/pull/1125))
update Docs/changelog (#1398) * update docs/changelog * fix Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-04-07 13:10:58 +00:00
- Fixed `load_spawn_weights` only in proc rank 0 ([#1385](https://github.com/PyTorchLightning/pytorch-lightning/pull/1385))
Set precision=16 when use_amp is passed as True (#1145) * Set precision=16 when use_amp is passed as True * Update CHANGELOG.md * add use_amp to deprecated API * Update trainer.py * Update trainer.py * move the use_amp attribute to deprecated API * move use_amp deprecation back to Trainer's __init__ * drop unsed * drop deprecated * reorder imports * typing Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-06 12:13:24 +00:00
- Fixes using deprecated `use_amp` attribute ([#1145](https://github.com/PyTorchLightning/pytorch-lightning/pull/1145))
changelog (#1616) * changelog * warning * pull * typo * typo
2020-04-26 20:11:22 +00:00
- Fixed Tensorboard logger error: lightning_logs directory not exists in multi-node DDP on nodes with rank != 0 ([#1377](https://github.com/PyTorchLightning/pytorch-lightning/pull/1377))
Fix unimplemented type() on TPU (#1396) * Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
2020-04-07 00:29:55 +00:00
- Fixed `Unimplemented backend XLA` error on TPU ([#1387](https://github.com/PyTorchLightning/pytorch-lightning/pull/1387))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
## [0.7.1] - 2020-03-07
### Fixed
- Fixes `print` issues and `data_loader` ([#1080](https://github.com/PyTorchLightning/pytorch-lightning/pull/1080))
remove deprecated `data_loader` (#1077) * change version in CHangelog * warning * remove der data_loader Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-06 21:11:05 +00:00
## [0.7.0] - 2020-03-06
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- Added automatic sampler setup. Depending on DDP or TPU, lightning configures the sampler correctly (user needs to do nothing) ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
- Added `reload_dataloaders_every_epoch=False` flag for trainer. Some users require reloading data every epoch ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
- Added `progress_bar_refresh_rate=50` flag for trainer. Throttle refresh rate on notebooks ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
update governance docs (#894) * updated governance docs * added maintainers to readme * added governance docs
2020-02-19 11:26:23 +00:00
- Updated governance docs
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added a check to ensure that the metric used for early stopping exists before training commences ([#542](https://github.com/PyTorchLightning/pytorch-lightning/pull/542))
- Added `optimizer_idx` argument to `backward` hook ([#733](https://github.com/PyTorchLightning/pytorch-lightning/pull/733))
- Added `entity` argument to `WandbLogger` to be passed to `wandb.init` ([#783](https://github.com/PyTorchLightning/pytorch-lightning/pull/783))
- Added a tool for profiling training runs ([#782](https://github.com/PyTorchLightning/pytorch-lightning/pull/782))
- Improved flexibility for naming of TensorBoard logs, can now set `version` to a `str` to just save to that directory, and use `name=''` to prevent experiment-name directory ([#804](https://github.com/PyTorchLightning/pytorch-lightning/pull/804))
- Added option to specify `step` key when logging metrics ([#808](https://github.com/PyTorchLightning/pytorch-lightning/pull/808))
update CHANGELOG (#897) add info about TPU and segmentation
2020-02-19 14:08:43 +00:00
- Added `train_dataloader`, `val_dataloader` and `test_dataloader` arguments to `Trainer.fit()`, for alternative data parsing ([#759](https://github.com/PyTorchLightning/pytorch-lightning/pull/759))
- Added Tensor Processing Unit (TPU) support ([#868](https://github.com/PyTorchLightning/pytorch-lightning/pull/868))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added semantic segmentation example ([#751](https://github.com/PyTorchLightning/pytorch-lightning/pull/751),[#876](https://github.com/PyTorchLightning/pytorch-lightning/pull/876),
[#881](https://github.com/PyTorchLightning/pytorch-lightning/pull/881))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Split callbacks in multiple files ([#849](https://github.com/PyTorchLightning/pytorch-lightning/pull/849))
consolidate callbacks and hooks (#950) * consolidate callbacks and hooks * ensure callbacks recieve proper arg types * remove model from init callback events * clean up early stopping event * update changelog * remove on_fit_start and on_fit_end * fix args for on_init_start and on_init_end * handle case where early stopping is not used * show all callback methods * wrap checkpoint callback logic into proper class * fix check for main process in checkpoint callback * move callbacks test to separate file * refactor arg checks * get model and call hook on same line * define trainer_options dict in one call * add more asserts to callback test
2020-03-03 04:51:32 +00:00
- Support for user defined callbacks ([#889](https://github.com/PyTorchLightning/pytorch-lightning/pull/889) and [#950](https://github.com/PyTorchLightning/pytorch-lightning/pull/950))
Add support for multiple loggers (#903) * Add support for multiple loggers * Fix PEP * Cleanup * Cleanup * Add typing to loggers * Update base.py * Replace duck typing with isinstance check * Update CHANGELOG.md * Update comet experiment type, Switch to abstractmethod in logging.py * Fix test * Add passes to LightningLoggerBase * Update experiment_logging.rst
2020-02-25 19:52:39 +00:00
- Added support for multiple loggers to be passed to `Trainer` as an iterable (e.g. list, tuple, etc.) ([#903](https://github.com/PyTorchLightning/pytorch-lightning/pull/903))
Learning rate stepping option (#941) * remove deprecated args to learning rate step function * step based scheduler * mixing models for testing * fix styling * tests * update documentation * smaller fix * update to dict structure * updated test * update documentation * update CHANGELOG.md * fix styling * fix problems with trainer io * fix tests * simplification of code * fix styling * change from batch to step * update to tests * fix styling * fixed some logic * Update pytorch_lightning/core/lightning.py * duplicated test * fix test on amp * small update to tests * added monitor key for ReduceLROnPlateau * Update trainer.py * Update training_loop.py * fix test after introducing monitor keyword Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-05 11:48:54 +00:00
- Added support for step-based learning rate scheduling ([#941](https://github.com/PyTorchLightning/pytorch-lightning/pull/941))
Profiler summary (#1259) * refactor and add types * add Prorfiler summary * fix imports * Revert "refactor and add types" This reverts commit b4c552fa * changelog * revert rename * fix test * mute verbose
2020-03-31 12:57:48 +00:00
- Added support for logging `hparams` as dict ([#1029](https://github.com/PyTorchLightning/pytorch-lightning/pull/1029))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Checkpoint and early stopping now work without val. step ([#1041](https://github.com/PyTorchLightning/pytorch-lightning/pull/1041))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Support graceful training cleanup after Keyboard Interrupt ([#856](https://github.com/PyTorchLightning/pytorch-lightning/pull/856),
[#1019](https://github.com/PyTorchLightning/pytorch-lightning/pull/1019))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Added type hints for function arguments ([#912](https://github.com/PyTorchLightning/pytorch-lightning/pull/912), )
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Added default `argparser` for `Trainer` ([#952](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023),
[#1023](https://github.com/PyTorchLightning/pytorch-lightning/pull/1023))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Added TPU gradient clipping ([#963](https://github.com/PyTorchLightning/pytorch-lightning/pull/963))
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Added max/min number of steps in `Trainer` ([#728](https://github.com/PyTorchLightning/pytorch-lightning/pull/728))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Neptune Logger Improvements (#1084) * removed project and experiment from getstate * added tests for closing experiment, updated token in example to user neptuner * updated teoken * Update neptune.py added a link to example experiment * added exmaple experiment link * dropped duplication * flake fixes * merged with master, added changes information to CHANGELOG
2020-03-14 17:02:40 +00:00
- Improved `NeptuneLogger` by adding `close_after_fit` argument to allow logging after training([#908](https://github.com/PyTorchLightning/pytorch-lightning/pull/1084))
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed default TQDM to use `tqdm.auto` for prettier outputs in IPython notebooks ([#752](https://github.com/PyTorchLightning/pytorch-lightning/pull/752))
- Changed `pytorch_lightning.logging` to `pytorch_lightning.loggers` ([#767](https://github.com/PyTorchLightning/pytorch-lightning/pull/767))
- Moved the default `tqdm_dict` definition from Trainer to `LightningModule`, so it can be overridden by the user ([#749](https://github.com/PyTorchLightning/pytorch-lightning/pull/749))
Merge load functions (#995) * Update README.md * Update README.md * Use callable object for patching dataloaders (#971) * Use callable object for patching dataloaders * Add test for ddp with dataloaders passed to fit() * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * merge load functions * update tests * fix documentation warnings * fix line too long * fix line too long * print deprecation warning Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * move tags_csv argument to end of signature * fix typo, update version numbers * fix line too long * add typing as requested * update changelog Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Sho Arora <sho854@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-03-03 02:05:38 +00:00
- Moved functionality of `LightningModule.load_from_metrics` into `LightningModule.load_from_checkpoint` ([#995](https://github.com/PyTorchLightning/pytorch-lightning/pull/995))
hparams as dict [blocked by 1041] (#1029) * hparams as dict * hparams as dict * fixing * fixing * fixing * fixing * typing * typing * chnagelog * update set hparams * use setter * simplify * chnagelog * imports * pylint * typing * Update training_io.py * Update training_io.py * Update lightning.py * Update test_trainer.py * Update __init__.py * Update base.py * Update utils.py * Update test_trainer.py * Update training_io.py * Update test_trainer.py * Update test_trainer.py * Update test_trainer.py * Update test_trainer.py * Update callback_config.py * Update callback_config.py * Update test_trainer.py Co-authored-by: William Falcon <waf2107@columbia.edu>
2020-03-04 14:33:39 +00:00
- Changed Checkpoint path parameter from `filepath` to `dirpath` ([#1016](https://github.com/PyTorchLightning/pytorch-lightning/pull/1016))
- Freezed models `hparams` as `Namespace` property ([#1029](https://github.com/PyTorchLightning/pytorch-lightning/pull/1029))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Dropped `logging` config in package init ([#1015](https://github.com/PyTorchLightning/pytorch-lightning/pull/1015))
- Renames model steps ([#1051](https://github.com/PyTorchLightning/pytorch-lightning/pull/1051))
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- `training_end` >> `training_epoch_end`
- `validation_end` >> `validation_epoch_end`
- `test_end` >> `test_epoch_end`
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Refactor dataloading, supports infinite dataloader ([#955](https://github.com/PyTorchLightning/pytorch-lightning/pull/955))
- Create single file in `TensorBoardLogger` ([#777](https://github.com/PyTorchLightning/pytorch-lightning/pull/777))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Deprecated `pytorch_lightning.logging` ([#767](https://github.com/PyTorchLightning/pytorch-lightning/pull/767))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated `LightningModule.load_from_metrics` in favour of `LightningModule.load_from_checkpoint` ([#995](https://github.com/PyTorchLightning/pytorch-lightning/pull/995),
[#1079](https://github.com/PyTorchLightning/pytorch-lightning/pull/1079))
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- Deprecated `@data_loader` decorator ([#926](https://github.com/PyTorchLightning/pytorch-lightning/pull/926))
missing logs [to be merged before release][skip ci] (#3131) * missing logs * chlog * add chlo to docs * Apply suggestions from code review Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * chlog * docs * log * metrics * logs * log * format Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-10-07 18:51:35 +00:00
- Deprecated model steps `training_end`, `validation_end` and `test_end` ([#1051](https://github.com/PyTorchLightning/pytorch-lightning/pull/1051),
[#1056](https://github.com/PyTorchLightning/pytorch-lightning/pull/1056))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
update chnagelog (#1169) * update chnagelog * formatting
2020-03-24 18:53:31 +00:00
- Removed dependency on `pandas` ([#736](https://github.com/PyTorchLightning/pytorch-lightning/pull/736))
- Removed dependency on `torchvision` ([#797](https://github.com/PyTorchLightning/pytorch-lightning/pull/797))
- Removed dependency on `scikit-learn` ([#801](https://github.com/PyTorchLightning/pytorch-lightning/pull/801))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where early stopping `on_end_epoch` would be called inconsistently when `check_val_every_n_epoch == 0` ([#743](https://github.com/PyTorchLightning/pytorch-lightning/pull/743))
- Fixed a bug where the model checkpointer didn't write to the same directory as the logger ([#771](https://github.com/PyTorchLightning/pytorch-lightning/pull/771))
- Fixed a bug where the `TensorBoardLogger` class would create an additional empty log file during fitting ([#777](https://github.com/PyTorchLightning/pytorch-lightning/pull/777))
- Fixed a bug where `global_step` was advanced incorrectly when using `accumulate_grad_batches > 1` ([#832](https://github.com/PyTorchLightning/pytorch-lightning/pull/832))
Logger tests and fixes (#1009) * Refactor logger tests * Update and add tests for wandb logger * Update and add tests for logger bases * Update and add tests for mlflow logger * Improve coverage * Updates * Update CHANGELOG * Updates * Fix style * Fix style * Updates
2020-03-03 01:49:14 +00:00
- Fixed a bug when calling `self.logger.experiment` with multiple loggers ([#1009](https://github.com/PyTorchLightning/pytorch-lightning/pull/1009))
- Fixed a bug when calling `logger.append_tags` on a `NeptuneLogger` with a single tag ([#1009](https://github.com/PyTorchLightning/pytorch-lightning/pull/1009))
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
- Fixed sending back data from `.spawn` by saving and loading the trained model in/out of the process ([#1017](https://github.com/PyTorchLightning/pytorch-lightning/pull/1017)
- Fixed port collision on DDP ([#1010](https://github.com/PyTorchLightning/pytorch-lightning/pull/1010))
- Fixed/tested pass overrides ([#918](https://github.com/PyTorchLightning/pytorch-lightning/pull/918))
- Fixed comet logger to log after train ([#892](https://github.com/PyTorchLightning/pytorch-lightning/pull/892))
- Remove deprecated args to learning rate step function ([#890](https://github.com/PyTorchLightning/pytorch-lightning/pull/890))
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
## [0.6.0] - 2020-01-21
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added support for resuming from a specific checkpoint via `resume_from_checkpoint` argument ([#516](https://github.com/PyTorchLightning/pytorch-lightning/pull/516))
- Added support for `ReduceLROnPlateau` scheduler ([#320](https://github.com/PyTorchLightning/pytorch-lightning/pull/320))
- Added support for Apex mode `O2` in conjunction with Data Parallel ([#493](https://github.com/PyTorchLightning/pytorch-lightning/pull/493))
- Added option (`save_top_k`) to save the top k models in the `ModelCheckpoint` class ([#128](https://github.com/PyTorchLightning/pytorch-lightning/pull/128))
- Added `on_train_start` and `on_train_end` hooks to `ModelHooks` ([#598](https://github.com/PyTorchLightning/pytorch-lightning/pull/598))
- Added `TensorBoardLogger` ([#607](https://github.com/PyTorchLightning/pytorch-lightning/pull/607))
- Added support for weight summary of model with multiple inputs ([#543](https://github.com/PyTorchLightning/pytorch-lightning/pull/543))
- Added `map_location` argument to `load_from_metrics` and `load_from_checkpoint` ([#625](https://github.com/PyTorchLightning/pytorch-lightning/pull/625))
- Added option to disable validation by setting `val_percent_check=0` ([#649](https://github.com/PyTorchLightning/pytorch-lightning/pull/649))
- Added `NeptuneLogger` class ([#648](https://github.com/PyTorchLightning/pytorch-lightning/pull/648))
- Added `WandbLogger` class ([#627](https://github.com/PyTorchLightning/pytorch-lightning/pull/627))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed the default progress bar to print to stdout instead of stderr ([#531](https://github.com/PyTorchLightning/pytorch-lightning/pull/531))
- Renamed `step_idx` to `step`, `epoch_idx` to `epoch`, `max_num_epochs` to `max_epochs` and `min_num_epochs` to `min_epochs` ([#589](https://github.com/PyTorchLightning/pytorch-lightning/pull/589))
- Renamed `total_batch_nb` to `total_batches`, `nb_val_batches` to `num_val_batches`, `nb_training_batches` to `num_training_batches`, `max_nb_epochs` to `max_epochs`, `min_nb_epochs` to `min_epochs`, `nb_test_batches` to `num_test_batches`, and `nb_val_batches` to `num_val_batches` ([#567](https://github.com/PyTorchLightning/pytorch-lightning/pull/567))
- Changed gradient logging to use parameter names instead of indexes ([#660](https://github.com/PyTorchLightning/pytorch-lightning/pull/660))
- Changed the default logger to `TensorBoardLogger` ([#609](https://github.com/PyTorchLightning/pytorch-lightning/pull/609))
- Changed the directory for tensorboard logging to be the same as model checkpointing ([#706](https://github.com/PyTorchLightning/pytorch-lightning/pull/706))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Deprecated `max_nb_epochs` and `min_nb_epochs` ([#567](https://github.com/PyTorchLightning/pytorch-lightning/pull/567))
- Deprecated the `on_sanity_check_start` hook in `ModelHooks` ([#598](https://github.com/PyTorchLightning/pytorch-lightning/pull/598))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Removed the `save_best_only` argument from `ModelCheckpoint`, use `save_top_k=1` instead ([#128](https://github.com/PyTorchLightning/pytorch-lightning/pull/128))
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug which ocurred when using Adagrad with cuda ([#554](https://github.com/PyTorchLightning/pytorch-lightning/pull/554))
- Fixed a bug where training would be on the GPU despite setting `gpus=0` or `gpus=[]` ([#561](https://github.com/PyTorchLightning/pytorch-lightning/pull/561))
- Fixed an error with `print_nan_gradients` when some parameters do not require gradient ([#579](https://github.com/PyTorchLightning/pytorch-lightning/pull/579))
- Fixed a bug where the progress bar would show an incorrect number of total steps during the validation sanity check when using multiple validation data loaders ([#597](https://github.com/PyTorchLightning/pytorch-lightning/pull/597))
- Fixed support for PyTorch 1.1.0 ([#552](https://github.com/PyTorchLightning/pytorch-lightning/pull/552))
- Fixed an issue with early stopping when using a `val_check_interval < 1.0` in `Trainer` ([#492](https://github.com/PyTorchLightning/pytorch-lightning/pull/492))
- Fixed bugs relating to the `CometLogger` object that would cause it to not work properly ([#481](https://github.com/PyTorchLightning/pytorch-lightning/pull/481))
- Fixed a bug that would occur when returning `-1` from `on_batch_start` following an early exit or when the batch was `None` ([#509](https://github.com/PyTorchLightning/pytorch-lightning/pull/509))
- Fixed a potential race condition with several processes trying to create checkpoint directories ([#530](https://github.com/PyTorchLightning/pytorch-lightning/pull/530))
- Fixed a bug where batch 'segments' would remain on the GPU when using `truncated_bptt > 1` ([#532](https://github.com/PyTorchLightning/pytorch-lightning/pull/532))
- Fixed a bug when using `IterableDataset` ([#547](https://github.com/PyTorchLightning/pytorch-lightning/pull/547))
- Fixed a bug where `.item` was called on non-tensor objects ([#602](https://github.com/PyTorchLightning/pytorch-lightning/pull/602))
- Fixed a bug where `Trainer.train` would crash on an uninitialized variable if the trainer was run after resuming from a checkpoint that was already at `max_epochs` ([#608](https://github.com/PyTorchLightning/pytorch-lightning/pull/608))
- Fixed a bug where early stopping would begin two epochs early ([#617](https://github.com/PyTorchLightning/pytorch-lightning/pull/617))
- Fixed a bug where `num_training_batches` and `num_test_batches` would sometimes be rounded down to zero ([#649](https://github.com/PyTorchLightning/pytorch-lightning/pull/649))
- Fixed a bug where an additional batch would be processed when manually setting `num_training_batches` ([#653](https://github.com/PyTorchLightning/pytorch-lightning/pull/653))
- Fixed a bug when batches did not have a `.copy` method ([#701](https://github.com/PyTorchLightning/pytorch-lightning/pull/701))
- Fixed a bug when using `log_gpu_memory=True` in Python 3.6 ([#715](https://github.com/PyTorchLightning/pytorch-lightning/pull/715))
- Fixed a bug where checkpoint writing could exit before completion, giving incomplete checkpoints ([#689](https://github.com/PyTorchLightning/pytorch-lightning/pull/689))
- Fixed a bug where `on_train_end` was not called when ealy stopping ([#723](https://github.com/PyTorchLightning/pytorch-lightning/pull/723))
## [0.5.3] - 2019-11-06
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added option to disable default logger, checkpointer, and early stopping by passing `logger=False`, `checkpoint_callback=False` and `early_stop_callback=False` respectively
- Added `CometLogger` for use with Comet.ml
- Added `val_check_interval` argument to `Trainer` allowing validition to be performed at every given number of batches
- Added functionality to save and load hyperparameters using the standard checkpoint mechanism
- Added call to `torch.cuda.empty_cache` before training starts
- Added option for user to override the call t `backward`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Added support for truncated backprop through time via the `truncated_bptt_steps` argument in `Trainer`
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added option to operate on all outputs from `training_step` in DDP2
- Added a hook for modifying DDP init
- Added a hook for modifying Apex
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed experiment version to be padded with zeros (e.g. `/dir/version_9` becomes `/dir/version_0009`)
- Changed callback metrics to include any metrics given in logs or progress bar
- Changed the default for `save_best_only` in `ModelCheckpoint` to `True`
- Added `tng_data_loader` for backwards compatibility
- Renamed `MLFlowLogger.client` to `MLFlowLogger.experiment` for consistency
- Moved `global_step` increment to happen after the batch has been processed
- Changed weights restore to first attempt HPC weights before restoring normally, preventing both weights being restored and running out of memory
- Changed progress bar functionality to add multiple progress bars for train/val/test
- Changed calls to `print` to use `logging` instead
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Deprecated
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Deprecated `tng_dataloader`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed an issue where the number of batches was off by one during training
- Fixed a bug that occured when setting a ckeckpoint callback and `early_stop_callback=False`
- Fixed an error when importing CometLogger
- Fixed a bug where the `gpus` argument had some unexpected behaviour
- Fixed a bug where the computed total number of batches was sometimes incorrect
- Fixed a bug where the progress bar would sometimes not show the total number of batches in test mode
- Fixed a bug when using the `log_gpu_memory='min_max'` option in `Trainer`
- Fixed a bug where checkpointing would sometimes erase the current directory
## [0.5.2] - 2019-10-10
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added `weights_summary` argument to `Trainer` to be set to `full` (full summary), `top` (just top level modules) or other
- Added `tags` argument to `MLFlowLogger`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed default for `amp_level` to `O1`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Removed the `print_weights_summary` argument from `Trainer`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where logs were not written properly
- Fixed a bug where `logger.finalize` wasn't called after training is complete
- Fixed callback metric errors in DDP
- Fixed a bug where `TestTubeLogger` didn't log to the correct directory
## [0.5.1] - 2019-10-05
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added the `LightningLoggerBase` class for experiment loggers
- Added `MLFlowLogger` for logging with `mlflow`
- Added `TestTubeLogger` for logging with `test_tube`
- Added a different implementation of DDP (`distributed_backed='ddp2'`) where every node has one model using all GPUs
- Added support for optimisers which require a closure (e.g. LBFGS)
- Added automatic `MASTER_PORT` defualt for DDP when not set manually
- Added new GPU memory logging options `'min_max'` (log only the min/max utilization) and `'all'` (log all the GPU memory)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed schedulers to always be called with the current epoch
- Changed `test_tube` to an optional dependency
- Changed data loaders to internally use a getter instead of a python property
- Disabled auto GPU loading when restoring weights to prevent out of memory errors
- Changed logging, early stopping and checkpointing to occur by default
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug with samplers that do not specify `set_epoch`
- Fixed a bug when using the `MLFlowLogger` with unsupported data types, this will now raise a warning
- Fixed a bug where gradient norms were alwasy zero using `track_grad_norm`
- Fixed a bug which causes a crash when logging memory
## [0.5.0] - 2019-09-26
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed `data_batch` argument to `batch` throughout
- Changed `batch_i` argument to `batch_idx` throughout
- Changed `tng_dataloader` method to `train_dataloader`
- Changed `on_tng_metrics` method to `on_training_metrics`
- Changed `gradient_clip` argument to `gradient_clip_val`
- Changed `add_log_row_interval` to `row_log_interval`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug with tensorboard logging in multi-gpu setup
## [0.4.9] - 2019-09-16
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Simplify progress bar args (#1108) * show progress bar dependent on refresh_rate * test progress_bar_refresh control show bar * remove show_progress_bar from other tests * borda fixes * flake8 fix * changelog update prog bar refresh rate * move show_progress_bar to deprecated 0.9 api * rm show_progress_bar references, test deprecated * Update pytorch_lightning/trainer/__init__.py * fix test * changelog * minor CHANGELOG.md format * Update pytorch_lightning/trainer/__init__.py * Update pytorch_lightning/trainer/trainer.py Co-authored-by: Gerard Bentley <gbkh2015@mymail.pomona.edu> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-02 22:53:00 +00:00
- Added the flag `log_gpu_memory` to `Trainer` to deactivate logging of GPU memory utilization
generalize reinstantiation of dataloader (#1346) * generalize reinstantiation of dataloader * fix condition * add test * update changelog * fix changelog Co-authored-by: J. Borovec <jirka.borovec@seznam.cz>
2020-04-03 21:55:08 +00:00
- Added SLURM resubmit functionality (port from test-tube)
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added optional weight_save_path to trainer to remove the need for a checkpoint_callback when using cluster training
- Added option to use single gpu per node with `DistributedDataParallel`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed functionality of `validation_end` and `test_end` with multiple dataloaders to be given all of the dataloaders at once rather than in seperate calls
- Changed print_nan_grads to only print the parameter value and gradients when they contain NaN
- Changed gpu API to take integers as well (e.g. `gpus=2` instead of `gpus=[0, 1]`)
- All models now loaded on to CPU to avoid device and out of memory issues in PyTorch
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where data types that implement `.to` but not `.cuda` would not be properly moved onto the GPU
- Fixed a bug where data would not be re-shuffled every epoch when using a `DistributedSampler`
## [0.4.8] - 2019-08-31
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added `test_step` and `test_end` methods, used when `Trainer.test` is called
- Added `GradientAccumulationScheduler` callback which can be used to schedule changes to the number of accumulation batches
- Added option to skip the validation sanity check by setting `nb_sanity_val_steps = 0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug when setting `nb_sanity_val_steps = 0`
## [0.4.7] - 2019-08-24
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed the default `val_check_interval` to `1.0`
- Changed defaults for `nb_val_batches`, `nb_tng_batches` and `nb_test_batches` to 0
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where the full validation set as used despite setting `val_percent_check`
- Fixed a bug where an `Exception` was thrown when using a data set containing a single batch
- Fixed a bug where an `Exception` was thrown if no `val_dataloader` was given
- Fixed a bug where tuples were not properly transfered to the GPU
- Fixed a bug where data of a non standard type was not properly handled by the trainer
- Fixed a bug when loading data as a tuple
- Fixed a bug where `AttributeError` could be suppressed by the `Trainer`
## [0.4.6] - 2019-08-15
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added support for data to be given as a `dict` or `list` with a single gpu
- Added support for `configure_optimizers` to return a single optimizer, two list (optimizers and schedulers), or a single list
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where returning just an optimizer list (i.e. without schedulers) from `configure_optimizers` would throw an `Exception`
## [0.4.5] - 2019-08-13
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added `optimizer_step` method that can be overridden to change the standard optimizer behaviour
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
## [0.4.4] - 2019-08-12
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added supoort for multiple validation dataloaders
- Added support for latest test-tube logger (optimised for `torch==1.2.0`)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- `validation_step` and `val_dataloader` are now optional
- `lr_scheduler` is now activated after epoch
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where a warning would show when using `lr_scheduler` in `torch>1.1.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
- Fixed a bug where an `Exception` would be thrown if using `torch.DistributedDataParallel` without using a `DistributedSampler`, this now throws a `Warning` instead
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
## [0.4.3] - 2019-08-10
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed a bug where accumulate gradients would scale the loss incorrectly
## [0.4.2] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed install requirement to `torch==1.2.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
## [0.4.1] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed install requirement to `torch==1.1.0`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
## [0.4.0] - 2019-08-08
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added 16-bit support for a single GPU
- Added support for training continuation (preserves epoch, global step etc.)
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Changed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Changed `training_step` and `validation_step`, outputs will no longer be automatically reduced
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Removed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Removed need for `Experiment` object in `Trainer`
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Fixed issues with reducing outputs from generative models (such as images and text)
## [0.3.6] - 2019-07-25
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Added
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
- Added a decorator to do lazy data loading internally
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
Changelog (#869) * Create CHANGELOG.md * Update CHANGELOG.md * Update CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Add PR links to Version 0.6.0 in CHANGELOG.md * Add PR links for Unreleased in CHANGELOG.md * Update PULL_REQUEST_TEMPLATE.md
2020-02-17 13:09:11 +00:00
### Fixed
Split callbacks (#849) * add .vscode in .gitignore * Split callbacks in individual files + add a property to Callback for easy trainer instance access * formatting * Add a conda env file for quick and easy env setup to develop on PL * Adress comments * add fix to kth_best_model * add some typing to callbacks * fix typo * add autopep8 config to pyproject.toml * format again * format * fix toml * fix toml again * consistent max line length in all config files * remove conda env file * Update pytorch_lightning/callbacks/early_stopping.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * docstring * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/callbacks/model_checkpoint.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * fix logic error * format * simplify if/else * format * fix linting issue in changelog * edit changelog about new callback mechanism * fix remaining formating issue on CHANGELOG * remove lambda function because it's compatible with pickle (used during ddp) Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-02-23 02:45:34 +00:00
prune changelog (#1123)
2020-03-12 14:48:51 +00:00
- Fixed a bug where `Experiment` object was not process safe, potentially causing logs to be overwritten
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.5] - 2019-07-25
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.4] - 2019-07-22
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.3] - 2019-07-22
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.2] - 2019-07-21
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.3.1] - 2019-07-21
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.2.x] - 2019-07-09
update chnagelog (#1091) * update chnagelog * update chnagelog
2020-03-10 15:15:03 +00:00
fix changelog (#1864) * fix chlog * test for #1729 * hist * update * Document use case of passing test dataloaders to Trainer.test() (#1992) * Issue 1990 Doc patch. * Codeblock directive. * Update to reflect current state of pytorch-lightning * Final grammar cleaning. I hope these commits are squashed. * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: authman <uapatira@gmail.com> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
2020-05-31 04:48:05 +00:00
## [0.1.x] - 2019-06-DD