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Add support for custom cloud compute configurations for Flows #14831
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@nicolai86 I fixed the docs build for you (hopefully). |
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LGTM !
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* 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 <[email protected]> * Close profiler when `StopIteration` is raised (#14945) * Find last checkpoints on restart (#14907) Co-authored-by: Carlos Mocholí <[email protected]> * Remove unused gcsfs dependency (#14962) * Update hpu mixed precision link (#14974) Signed-off-by: Jerome <[email protected]> * 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 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * 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 f65107e. * Alternative boring solution to the reverted commit * Fix failing test on CUDA machine * Workarounds * Try latest mkl * Revert "Try latest mkl" This reverts commit d06813a. * 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 Co-authored-by: awaelchli <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Akihiro Nitta <[email protected]> * 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 Signed-off-by: Jerome <[email protected]> Co-authored-by: thomas chaton <[email protected]> Co-authored-by: Sherin Thomas <[email protected]> Co-authored-by: Ziyad Sheebaelhamd <[email protected]> Co-authored-by: otaj <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> Co-authored-by: Jerome Anand <[email protected]> Co-authored-by: awaelchli <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Adam J. Stewart <[email protected]> Co-authored-by: DP <[email protected]>
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What does this PR do?
This PR exposes the custom cloud compute configuration we support on the lightning AI platform as part of the lightning framework.
It depends on an update lightning-cloud package, which is why this PR is pending right now.
Does your PR introduce any breaking changes? If yes, please list them.
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Make sure you had fun coding 🙃
cc @Borda