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.github/workflows/release-pypi.yml

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jobs:
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build-packages:
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uses: ./.github/workflows/_build-packages.yml
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with:

requirements/app/base.txt

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inquirer>=2.10.0
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psutil<5.9.4
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click<=8.1.3
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aiohttp>=3.8.0, <=3.8.3

src/lightning_app/CHANGELOG.md

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### Removed
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- Removed the `SingleProcessRuntime` ([#15933](https://github.com/Lightning-AI/lightning/pull/15933))
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### Fixed
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- Fixed bi-directional queues sending delta with Drive Component name changes ([#15642](https://github.com/Lightning-AI/lightning/pull/15642))
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- Fixed CloudRuntime works collection with structures and accelerated multi node startup time ([#15650](https://github.com/Lightning-AI/lightning/pull/15650))
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- Fixed catimage import ([#15712](https://github.com/Lightning-AI/lightning/pull/15712))
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- Fixed setting property to the LightningFlow ([#15750](https://github.com/Lightning-AI/lightning/pull/15750))
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- Parse all lines in app file looking for shebangs to run commands ([#15714](https://github.com/Lightning-AI/lightning/pull/15714))
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src/pytorch_lightning/CHANGELOG.md

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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [fabricLaunchPLVersion] - 202Y-MM-DD
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### Removed
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- `nvidia/apex` removal ([#16149](https://github.com/Lightning-AI/lightning/pull/16149))
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* Removed `pytorch_lightning.plugins.NativeMixedPrecisionPlugin` in favor of `pytorch_lightning.plugins.MixedPrecisionPlugin`
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* Removed the `LightningModule.optimizer_step(using_native_amp=...)` argument
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* Removed the `Trainer(amp_backend=...)` argument
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* Removed the `Trainer.amp_backend` property
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* Removed the `Trainer(amp_level=...)` argument
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* Removed the `pytorch_lightning.plugins.ApexMixedPrecisionPlugin` class
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* Removed the `pytorch_lightning.utilities.enums.AMPType` enum
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* Removed the `DeepSpeedPrecisionPlugin(amp_type=..., amp_level=...)` arguments
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- Removed legacy device arguments in Trainer ([#16171](https://github.com/Lightning-AI/lightning/pull/16171))
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* Removed the `Trainer(gpus=...)` argument
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* Removed the `Trainer(tpu_cores=...)` argument
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* Removed the `Trainer(ipus=...)` argument
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* Removed the `Trainer(num_processes=...)` argument
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- Removed the deprecated automatic GPU selection ([#16184](https://github.com/Lightning-AI/lightning/pull/16184))
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* Removed the `Trainer(auto_select_gpus=...)` argument
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* Removed the `pytorch_lightning.tuner.auto_gpu_select.{pick_single_gpu,pick_multiple_gpus}` functions
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- Removed the deprecated `resume_from_checkpoint` Trainer argument ([#16167](https://github.com/Lightning-AI/lightning/pull/16167))
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## [unreleased] - 202Y-MM-DD
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- Added support for `torch.compile` ([#15922](https://github.com/Lightning-AI/lightning/pull/15922), [#15957](https://github.com/Lightning-AI/lightning/pull/15957))
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- Added support for custom artifact names in `pl.loggers.WandbLogger` ([#16173](https://github.com/Lightning-AI/lightning/pull/16173))
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- Added support for DDP with `LRFinder` ([#15304](https://github.com/Lightning-AI/lightning/pull/15304))
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- Enhanced `reduce_boolean_decision` to accommodate `any`-analogous semantics expected by the `EarlyStopping` callback ([#15253](https://github.com/Lightning-AI/lightning/pull/15253))
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- Fixed issue with unsupported torch.inference_mode() on hpu backends ([#15918](https://github.com/Lightning-AI/lightning/pull/15918))
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- Fixed the incorrect optimizer step synchronization when running across multiple TPU devices ([#16020](https://github.com/Lightning-AI/lightning/pull/16020))
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* Added `pytorch_lightning.lite` package ([#10175](https://github.com/Lightning-AI/lightning/pull/10175))
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* Added `LightningLite` documentation ([#10043](https://github.com/Lightning-AI/lightning/pull/10043))
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* Added `LightningLite` examples ([#9987](https://github.com/Lightning-AI/lightning/pull/9987))
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* Make the `_FabricDataLoader` an iterator and add supports for custom dataloader ([#10279](https://github.com/Lightning-AI/lightning/pull/10279))
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* Make the `_LiteDataLoader` an iterator and add supports for custom dataloader ([#10279](https://github.com/Lightning-AI/lightning/pull/10279))
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- Added `use_omegaconf` argument to `save_hparams_to_yaml` plugin ([#9170](https://github.com/Lightning-AI/lightning/pull/9170))
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- Added `ckpt_path` argument for `Trainer.fit()` ([#10061](https://github.com/Lightning-AI/lightning/pull/10061))
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- Added `auto_device_count` method to `Accelerators` ([#10222](https://github.com/Lightning-AI/lightning/pull/10222))

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