Lightning-AI/pytorch-lightning 1.8.4 on GitHub

App

Add code_dir argument to tracer run (#15771)
Added the CLI command lightning run model to launch a LightningLite accelerated script (#15506)
Added the CLI command lightning delete app to delete a lightning app on the cloud (#15783)
Added a CloudMultiProcessBackend which enables running a child App from within the Flow in the cloud (#15800)
Utility for pickling work object safely even from a child process (#15836)
Added AutoScaler component (#15769)
Added the property ready of the LightningFlow to inform when the Open App should be visible (#15921)
Added private work attributed _start_method to customize how to start the works (#15923)
Added a configure_layout method to the LightningWork which can be used to control how the work is handled in the layout of a parent flow (#15926)
Added the ability to run a Lightning App or Component directly from the Gallery using lightning run app organization/name (#15941)
Added automatic conversion of list and dict of works and flows to structures (#15961)

The MultiNode components now warn the user when running with num_nodes > 1 locally (#15806)
Cluster creation and deletion now waits by default [#15458
Running an app without a UI locally no longer opens the browser (#15875)
Show a message when BuildConfig(requirements=[...]) is passed but a requirements.txt file is already present in the Work (#15799)
Show a message when BuildConfig(dockerfile="...") is passed but a Dockerfile file is already present in the Work (#15799)
Dropped name column from cluster list (#15721)
Apps without UIs no longer activate the "Open App" button when running in the cloud (#15875)
Wait for full file to be transferred in Path / Payload (#15934)

Fixed SSH CLI command listing stopped components (#15810)
Fixed bug when launching apps on multiple clusters (#15484)
Fixed Sigterm Handler causing thread lock which caused KeyboardInterrupt to hang (#15881)
Fixed MPS error for multinode component (defaults to cpu on mps devices now as distributed operations are not supported by pytorch on mps) (#15748)
Fixed the work not stopped when successful when passed directly to the LightningApp (#15801)
Fixed the PyTorch Inference locally on GPU (#15813)
Fixed the enable_spawn method of the WorkRunExecutor (#15812)
Fixed require/import decorator (#15849)
Fixed a bug where using L.app.structures would cause multiple apps to be opened and fail with an error in the cloud (#15911)
Fixed PythonServer generating noise on M1 (#15949)
Fixed multiprocessing breakpoint (#15950)
Fixed detection of a Lightning App running in debug mode (#15951)
Fixed ImportError on Multinode if package not present (#15963)

Fixed shuffle=False having no effect when using DDP/DistributedSampler (#15931)

Fixed issue with unsupported torch.inference_mode() on hpu backends (#15918)
Fixed LRScheduler import for PyTorch 2.0 (#15940)
Fixed fit_loop.restarting to be False for lr finder (#15620)
Fixed torch.jit.script-ing a LightningModule causing an unintended error message about deprecated use_amp property (#15947)

Full Changelog: 1.8.3...1.8.4