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Update changelog for recent releases (#7387)

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Kaushik B 2021-05-06 00:55:56 +05:30 committed by GitHub
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CHANGELOG.md
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@ -342,11 +342,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- 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))
- 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))
- 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))
@ -356,9 +351,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Do not print top-k verbose log with `ModelCheckpoint(monitor=None)` ([#6109](https://github.com/PyTorchLightning/pytorch-lightning/pull/6109))
- Fixed csv extension check ([#6436](https://github.com/PyTorchLightning/pytorch-lightning/pull/6436))
- Fixed `ModelCheckpoint(monitor=None, save_last=True)` not saving checkpoints ([#6136](https://github.com/PyTorchLightning/pytorch-lightning/pull/6136))
@ -380,30 +372,12 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Fixed `trainer.tuner.{lr_find,scale_batch_size}` not setting the `Trainer` state properly ([#7258](https://github.com/PyTorchLightning/pytorch-lightning/pull/7258))
- Fixed bug where `BaseFinetuning.flatten_modules()` was duplicating leaf node parameters ([#6879](https://github.com/PyTorchLightning/pytorch-lightning/pull/6879))
- Fixed bug where the learning rate schedulers did not follow the optimizer frequencies ([#4868](https://github.com/PyTorchLightning/pytorch-lightning/pull/4868))
- Fixed `EarlyStopping` logic when `min_epochs` or `min_steps` requirement is not met ([#6705](https://github.com/PyTorchLightning/pytorch-lightning/pull/6705))
- Fixed TPU Spawn all gather ([#6896](https://github.com/PyTorchLightning/pytorch-lightning/pull/6896))
- Fixed `--gpus` default for parser returned by `Trainer.add_argparse_args` ([#6898](https://github.com/PyTorchLightning/pytorch-lightning/pull/6898))
- Fixed pickle error checker to now check for `pickle.PickleError` to catch all pickle errors ([#6917](https://github.com/PyTorchLightning/pytorch-lightning/pull/6917))
- Fixed `AttributeError` for `require_backward_grad_sync` when running manual optimization with sharded plugin ([#6915](https://github.com/PyTorchLightning/pytorch-lightning/pull/6915))
- Fixed multi-gpu join for Horovod ([#6954](https://github.com/PyTorchLightning/pytorch-lightning/pull/6954))
- Fixed a bug where `LightningModule.training_epoch_end` was called after the `on_train_end_epoch` hook ([#6969](https://github.com/PyTorchLightning/pytorch-lightning/pull/6969))
@ -413,27 +387,18 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- 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))
- Fixed `sync_dist` for tpus ([#6950](https://github.com/PyTorchLightning/pytorch-lightning/pull/6950))
- Fixed bug for trainer error handling which would cause hang for distributed training ([#6864](https://github.com/PyTorchLightning/pytorch-lightning/pull/6864))
- Fixed `self.device` not returning the correct device in replicas of data-parallel ([#6414](https://github.com/PyTorchLightning/pytorch-lightning/pull/6414))
- Fixed process rank not being available right away after `Trainer` instantiation ([#6941](https://github.com/PyTorchLightning/pytorch-lightning/pull/6941))
- Fixed `lr_find` trying beyond `num_training` steps and suggesting a too high learning rate ([#7076](https://github.com/PyTorchLightning/pytorch-lightning/pull/7076))
- Fixed logger creating incorrect version folder in DDP with repeated `Trainer.fit` calls ([#7077](https://github.com/PyTorchLightning/pytorch-lightning/pull/7077))
- Fixed the order to call for world ranks & the `root_device` property in `TPUSpawnPlugin` ([#7074](https://github.com/PyTorchLightning/pytorch-lightning/pull/7074))
- Fixed metric objects passed directly to `self.log` not being reset correctly ([#7055](https://github.com/PyTorchLightning/pytorch-lightning/pull/7055))
@ -443,9 +408,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- Fixed the save_dir in `WandbLogger` when the run was initiated externally ([#7106](https://github.com/PyTorchLightning/pytorch-lightning/pull/7106))
- Fixed parsing for pre-release package versions ([#6999](https://github.com/PyTorchLightning/pytorch-lightning/pull/6999))
- Fixed `num_sanity_val_steps` affecting reproducibility of training data shuffling ([#7014](https://github.com/PyTorchLightning/pytorch-lightning/pull/7014))
@ -485,6 +447,39 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
- 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))
## [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))
## [1.2.7] - 2021-04-06