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* bump: Torch `2.5.0`

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* try drop pickle warning

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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

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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)
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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

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`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

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feat(cli): after_instantiate_classes hook

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…on()` to robustly seed NumPy-dependent dataloader workers (Lightning-AI#20369)

* Update seed.py

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* Minimal transformer examples

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* Fix compatibility for bitsandbytes>=0.46
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* Apply suggestions from code review

…0.0,<1.42.0 in /requirements (Lightning-AI#20965)

build(deps): update awscli requirement in /requirements

Updates the requirements on [awscli](https://github.com/aws/aws-cli) to permit the latest version.
- [Release notes](https://github.com/aws/aws-cli/releases)
- [Commits](aws/aws-cli@1.30.0...1.41.3)

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…tning-AI#20966)

Bumps [coverage](https://github.com/nedbat/coveragepy) from 7.9.1 to 7.9.2.
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- [Changelog](https://github.com/nedbat/coveragepy/blob/master/CHANGES.rst)
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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…with FSDP strategy (Lightning-AI#20964)

* Add test for FSDP with CUDAAccelerator instance
* update error message
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…ntation (Lightning-AI#20931)

* default behavior

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