* Allow callbacks to be restored not just during training
* add test case
* test test case failure
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* fix test case
---------
Co-authored-by: Alan Chu <alanchu@Alans-Air.lan>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Luca Antiga <luca.antiga@gmail.com>
* fix batchsampler does not work correctly
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* add batch sampler shuffle state test
* Fix checkpoint progress for fit loop and batch loop
* Check loss parity
* Rename test
* Fix validation loop handling on restart
* Fix loop reset test
* Avoid skipping to val end if saved mid validation
* Fix type checks in compare state dicts
* Fix edge cases and start from last with and without val
* Clean up
* Formatting
* Avoid running validation when restarting from last
* Fix type annotations
* Fix formatting
* Ensure int max_batch
* Fix condition on batches that stepped
* Remove expected on_train_epoch_start when restarting mid epoch
* bump: Torch `2.5.0`
* push docker
* docker
* 2.5.1 and mypy
* update USE_DISTRIBUTED=0 test
* also for pytorch lightning no distributed
* set USE_LIBUV=0 on windows
* try drop pickle warning
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* disable compiling update_metrics
* bump 2.2.x to bugfix
* disable also log in logger connector (also calls metric)
* more point release bumps
* remove unloved type ignore and print some more on exit
* update checkgroup
* minor versions
* shortened version in build-pl
* pytorch 2.4 is with python 3.11
* 2.1 and 2.3 without patch release
* for 2.4.1: docker with 3.11 test with 3.12
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Co-authored-by: Thomas Viehmann <tv.code@beamnet.de>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* update
* test_loggers_pickle_all
* more...
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* fix
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Jirka Borovec