update chlong after 1.0.8 (#4845)
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Jirka Borovec
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CHANGELOG.md
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CHANGELOG.md
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@ -27,7 +27,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Added option to log momentum ([#4384](https://github.com/PyTorchLightning/pytorch-lightning/pull/4384))
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- Added `current_score` to `ModelCheckpoint.on_save_checkpoint` ([#4712](https://github.com/PyTorchLightning/pytorch-lightning/pull/4721))
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- Added `current_score` to `ModelCheckpoint.on_save_checkpoint` ([#4721](https://github.com/PyTorchLightning/pytorch-lightning/pull/4721))
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- Added logging using `self.log` in train and evaluation for most callbacks and model hooks (
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@ -35,36 +35,23 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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[#4495](https://github.com/PyTorchLightning/pytorch-lightning/pull/4495),
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[#4439](https://github.com/PyTorchLightning/pytorch-lightning/pull/4439))
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- 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))
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- Added ability for DDP plugin to modify optimizer state saving ([#4675](https://github.com/PyTorchLightning/pytorch-lightning/pull/4675))
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- Added casting to python types for numpy scalars when logging hparams ([#4647](https://github.com/PyTorchLightning/pytorch-lightning/pull/4647))
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- Added `prefix` argument in loggers ([#4557](https://github.com/PyTorchLightning/pytorch-lightning/pull/4557))
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- Added printing of total num of params, trainable and non-trainable params in ModelSummary ([#4521](https://github.com/PyTorchLightning/pytorch-lightning/pull/4521))
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- Added `F1` class metric ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
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### Changed
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- Consistently use `step=trainer.global_step` in `LearningRateMonitor` independently of `logging_interval` ([#4376](https://github.com/PyTorchLightning/pytorch-lightning/pull/4376))
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- Tuner algorithms will be skipped if `fast_dev_run=True` ([#3903](https://github.com/PyTorchLightning/pytorch-lightning/pull/3903))
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- 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))
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- Renamed class metric `Fbeta` -> `FBeta` ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
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### Deprecated
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- Deprecated `prefix` argument in `ModelCheckpoint` ([#4765](https://github.com/PyTorchLightning/pytorch-lightning/pull/4765))
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@ -78,29 +65,30 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [unreleased.BugFix] - YYYY-MM-DD
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## [1.0.8] - 2020-11-24
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### Added
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- Added casting to python types for numpy scalars when logging `hparams` ([#4647](https://github.com/PyTorchLightning/pytorch-lightning/pull/4647))
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- 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))
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- Added `F1` class metric ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
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### Changed
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### Deprecated
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### Removed
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- Consistently use `step=trainer.global_step` in `LearningRateMonitor` independently of `logging_interval` ([#4376](https://github.com/PyTorchLightning/pytorch-lightning/pull/4376))
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- Metric states are no longer as default added to `state_dict` ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))
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- Renamed class metric `Fbeta` >> `FBeta` ([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
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- Model summary: add 1 decimal place ([#4745](https://github.com/PyTorchLightning/pytorch-lightning/pull/4745))
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- Do not override `PYTHONWARNINGS` ([#4700](https://github.com/PyTorchLightning/pytorch-lightning/pull/4700))
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### Fixed
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- Fixed checkpoint hparams dict casting when omegaconf is available ([#4770](https://github.com/PyTorchLightning/pytorch-lightning/pull/4770))
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- Fixed checkpoint `hparams` dict casting when `omegaconf` is available ([#4770](https://github.com/PyTorchLightning/pytorch-lightning/pull/4770))
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- Fixed incomplete progress bars when total batches not divisible by refresh rate ([#4577](https://github.com/PyTorchLightning/pytorch-lightning/pull/4577))
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- Updated SSIM metric (#4566)([#4656](https://github.com/PyTorchLightning/pytorch-lightning/pull/4656))
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- 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))
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- Fixed `torchtext` data to GPU ([#4785](https://github.com/PyTorchLightning/pytorch-lightning/pull/4785))
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- Fixed a crash bug in MLFlow logger ([#4716](https://github.com/PyTorchLightning/pytorch-lightning/pull/4716))
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## [1.0.7] - 2020-11-17
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