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Sync with master changes (#16169)
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setup.py

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import setuptools
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import setuptools.command.egg_info
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_PACKAGE_NAME = os.environ.get("PACKAGE_NAME", "lightning")
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_PACKAGE_NAME = os.environ.get("PACKAGE_NAME")
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_PACKAGE_MAPPING = {
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"lightning": "lightning",
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"pytorch": "pytorch_lightning",

src/lightning_app/CHANGELOG.md

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@@ -118,15 +118,12 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed install/upgrade - removing single quote ([#16079](https://github.com/Lightning-AI/lightning/pull/16079))
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- Fixed auto-batching to enable batching for requests coming even after batch interval but is in the queue ([#16110](https://github.com/Lightning-AI/lightning/pull/16110))
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- Fixed a bug where `AutoScaler` would fail with min_replica=0 ([#16092](https://github.com/Lightning-AI/lightning/pull/16092)
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- Fixed a non-thread safe deepcopy in the scheduler ([#16114](https://github.com/Lightning-AI/lightning/pull/16114))
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- Fixed Http Queue sleeping for 1 sec by default if no delta were found ([#16114](https://github.com/Lightning-AI/lightning/pull/16114))
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- Fixed the endpoint info tab not showing up in `AutoScaler` UI ([#16128](https://github.com/Lightning-AI/lightning/pull/16128))
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- Fixed an issue where an exception would be raised in the logs when using a recent version of streamlit ([#16139](https://github.com/Lightning-AI/lightning/pull/16139))
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- Fixed e2e tests ([#16146](https://github.com/Lightning-AI/lightning/pull/16146))
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## [1.8.5] - 2022-12-15

src/lightning_fabric/CHANGELOG.md

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- Added support for managing callbacks via `Fabric(callbacks=...)` and emitting events through `Fabric.call()` ([#16074](https://github.com/Lightning-AI/lightning/issues/16074))
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- Added `lightning_lite.accelerators.find_usable_cuda_devices` utility function ([#16147](https://github.com/PyTorchLightning/pytorch-lightning/pull/16147))
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### Changed
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- The `LightningLite.run()` method is no longer abstract ([#14992](https://github.com/Lightning-AI/lightning/issues/14992))

src/pytorch_lightning/CHANGELOG.md

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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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## [1.8.6] - 2022-12-21
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- minor cleaning
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## [1.8.5] - 2022-12-15
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- Add function to remove checkpoint to allow override for extended classes ([#16067](https://github.com/Lightning-AI/lightning/pull/16067))

tests/tests_pytorch/utilities/migration/test_migration.py

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def test_migrate_dropped_apex_amp_state():
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"""Test that the migration warns about collisions that would occur if the keys were modified."""
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old_checkpoint = {"amp_scaling_state": {"scale": 1.23}}
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_set_version(old_checkpoint, "1.9.0") # pretend a checkpoint prior to 2.0.0
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_set_version(old_checkpoint, "1.8.0") # pretend a checkpoint prior to 2.0.0
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with pytest.warns(UserWarning, match="checkpoint contains apex AMP data"):
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updated_checkpoint, _ = migrate_checkpoint(old_checkpoint.copy())
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assert "amp_scaling_state" not in updated_checkpoint

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