update tutorials to `3f8a254d`

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update tutorials to `d5273534`

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…ning-AI#20267)

* build(deps): bump Lightning-AI/utilities from 0.11.6 to 0.11.7

Bumps [Lightning-AI/utilities](https://github.com/lightning-ai/utilities) from 0.11.6 to 0.11.7.
- [Release notes](https://github.com/lightning-ai/utilities/releases)
- [Changelog](https://github.com/Lightning-AI/utilities/blob/main/CHANGELOG.md)
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…ing-AI#20266)

Bumps [peter-evans/create-pull-request](https://github.com/peter-evans/create-pull-request) from 6 to 7.
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- [Commits](peter-evans/create-pull-request@v6...v7)

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* Update favicon

* Update favicons - all sizes

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…g-AI#20325)

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* docs: fix removed ref to `deepspeed.initialize`

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…ning-AI#20354)

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update tutorials to `b83fde09`

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* bump: Torch `2.5.0`

* push docker

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* try drop pickle warning

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* disable compiling update_metrics

* bump 2.2.x to bugfix

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

…ers (Lightning-AI#20379)

* Fix checkpoint progress for fit loop and batch loop

* Check loss parity

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* Fix type checks in compare state dicts

* Fix edge cases and start from last with and without val

* Clean up

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* Avoid running validation when restarting from last

* Fix type annotations

* Fix formatting

* Ensure int max_batch

* Fix condition on batches that stepped

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* fix batchsampler does not work correctly

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…#20403)

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…ning-AI#20444)

Bumps [Lightning-AI/utilities](https://github.com/lightning-ai/utilities) from 0.11.8 to 0.11.9.
- [Release notes](https://github.com/lightning-ai/utilities/releases)
- [Changelog](https://github.com/Lightning-AI/utilities/blob/main/CHANGELOG.md)
- [Commits](Lightning-AI/utilities@v0.11.8...v0.11.9)

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* bump python 3.9+

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…py for `torch-xla>=2.5` (Lightning-AI#20442)

* Replace `using_pjrt()` xla runtime `device_type()` check with in xla.py

Fixes Lightning-AI#20419

`torch_xla.runtime.using_pjrt()` is removed in pytorch/xla#7787

This PR replaces references to that function with a check to [`device_type()`](https://github.com/pytorch/xla/blob/master/torch_xla/runtime.py#L83) to recreate the behavior of that function, minus the manual initialization

* Added tests/refactored for version compat

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feat(cli): after_instantiate_classes hook

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# Conflicts:
#	src/lightning/pytorch/loggers/comet.py