* docker: drop pt 1.9
* Missed some
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## What does this PR do?
The lightning CLI uses the lightning APIs to create, read, update, and delete resources such as apps and clusters.
If an API call fails due to client error (e.g. invalid input, unauthorized, unauthenticated) the API will return an HTTP status code in the 400s, along with a custom message in the response body.
The CLI (usually) does not directly handle these exceptions. As a result the exception bubbles up through the click framework (which does not recognize the exception type) and to the python runtime, which produces a long traceback and dumps the raw exception to the user.
This PR fixes the user experience. When our API fails on a client error, the CLI will display the message from the server without a traceback.
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* also convert lightning_lite tests for PL tests to adapt mocking paths
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This reverts commit c1a5e119c7.
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This reverts commit 9df96685b8.
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* replace oldest in lite
* Fix PyTorch versions in Lite CI
* This will be moved to install pkg workflow in the mirror PR
* 1.13 fixes
* Windows fix
* sorting
Co-authored-by: otaj <ota@lightning.ai>
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* mark internal lite apis as protected
* formatting
* docs update
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Stops a bug when cross-launching an app between clusters.
Currently the platform does not allow running multiple app instances. If you have `app-1` running on `cluster-1` and try to run it on `cluster-2`, the CLI will succeed but the app will never start.
This PR prevents this disconnect. The app should not be uploaded / released if it won't run. An error is presented to the user explaining what happened and how to proceed (specify a different `--name`: e.g. `app-2`).
Once the platform supports multiple app instances / running individual apps on multiple clusters, this PR can be reverted.
* Update pl CPU testing matrix
* Remove standalone comment, could be confused
* Heurisitc for PyTorch latest
* partition rest
* ckpgoup
* These do not exist
* This ALSO does not exist
* use more recent lightning cloud launcher
* allow LightningApp to use custom cloud compute for flows
* feedback from adrian
* adjust other cloud tests
* update
* update
* update commens
* Update src/lightning_app/core/app.py
Co-authored-by: Sherin Thomas <sherin@grid.ai>
* Close profiler when `StopIteration` is raised (#14945)
* Find last checkpoints on restart (#14907)
Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* Remove unused gcsfs dependency (#14962)
* Update hpu mixed precision link (#14974)
Signed-off-by: Jerome <janand@habana.ai>
* Bump version of fsspec (#14975)
fsspec verbump
* Fix TPU test CI (#14926)
* Fix TPU test CI
* +x first
* Lite first to uncovert errors faster
* Fixes
* One more
* Simplify XLALauncher wrapping to avoid pickle error
* debug
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* Debug commit successful. Trying local definitions
* Require tpu for mock test
* ValueError: The number of devices must be either 1 or 8, got 4 instead
* Fix mock test
* Simplify call, rely on defaults
* Skip OSError for now. Maybe upgrading will help
* Simplify launch tests, move some to lite
* Stricter typing
* RuntimeError: Accessing the XLA device before processes have spawned is not allowed.
* Revert "RuntimeError: Accessing the XLA device before processes have spawned is not allowed."
This reverts commit f65107ebf3.
* Alternative boring solution to the reverted commit
* Fix failing test on CUDA machine
* Workarounds
* Try latest mkl
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This reverts commit d06813aa67.
* Wrong exception
* xfail
* Mypy
* Comment change
* Spawn launch refactor
* Accept that we cannot lazy init now
* Fix mypy and launch test failures
* The base dockerfile already includes mkl-2022.1.0 - what if we use it?
* try a different mkl version
* Revert mkl version changes
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* Trainer: fix support for non-distributed PyTorch (#14971)
* Trainer: fix non-distributed use
* Update CHANGELOG
* fixes typing errors in rich_progress.py (#14963)
* revert default cloud compute rename
* allow LightningApp to use custom cloud compute for flows
* feedback from adrian
* update
* resolve merge with master conflict
* remove preemptible
* update CHANGELOG
* add basic flow cloud compute documentation
* fix docs build
* add missing symlink
* try to fix sphinx
* another attempt for docs
* fix new test
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thomas chaton