Lightning-AI/pytorch-lightning 1.8.6 on GitHub

App

Added partial support for fastapi Request annotation in configure_api handlers (#16047)
Added a nicer UI with URL and examples for the autoscaler component (#16063)
Enabled users to have more control over scaling out/in intervals (#16093)
Added more datatypes to the serving component (#16018)
Added work.delete method to delete the work (#16103)
Added display_name property to LightningWork for the cloud (#16095)
Added ColdStartProxy to the AutoScaler (#16094)
Added status endpoint, enable ready (#16075)
Implemented ready for components (#16129)

The default start_method for creating Work processes locally on macOS is now 'spawn' (previously 'fork') (#16089)
The utility lightning.app.utilities.cloud.is_running_in_cloud now returns True during the loading of the app locally when running with --cloud (#16045)
Updated Multinode Warning (#16091)
Updated app testing (#16000)
Changed overwrite to True (#16009)
Simplified messaging in cloud dispatch (#16160)
Added annotations endpoint (#16159)

Fixed PythonServer messaging "Your app has started" (#15989)
Fixed auto-batching to enable batching for requests coming even after the batch interval but is in the queue (#16110)
Fixed a bug where AutoScaler would fail with min_replica=0 (#16092
Fixed a non-thread safe deepcopy in the scheduler (#16114)
Fixed HTTP Queue sleeping for 1 sec by default if no delta was found (#16114)
Fixed the endpoint info tab not showing up in the AutoScaler UI (#16128)
Fixed an issue where an exception would be raised in the logs when using a recent version of streamlit (#16139)
Fixed e2e tests (#16146)

Full Changelog: 1.8.5.post0...1.8.6