build(deps): bump pytorch-lightning from 1.6.5 to 2.0.8

[dependabot]

Bumps pytorch-lightning from 1.6.5 to 2.0.8.

Release notes

Sourced from pytorch-lightning's releases.

Weekly patch release

App

Changed

• Change top folder (#18212)
• Remove _handle_is_headless calls in app run loop (#18362)

Fixed

• refactor path to root preventing circular import (#18357)

---

Fabric

Changed

• On XLA, avoid setting the global rank before processes have been launched as this will initialize the PJRT computation client in the main process (#16966)

Fixed

• Fixed model parameters getting shared between processes when running with strategy="ddp_spawn" and accelerator="cpu"; this has a necessary memory impact, as parameters are replicated for each process now (#18238)
• Removed false positive warning when using fabric.no_backward_sync with XLA strategies (#17761)
• Fixed issue where Fabric would not initialize the global rank, world size, and rank-zero-only rank after initialization and before launch (#16966)
• Fixed FSDP full-precision param_dtype training (16-mixed, bf16-mixed and 32-true configurations) to avoid FSDP assertion errors with PyTorch < 2.0 (#18278)

---

PyTorch

Changed

• On XLA, avoid setting the global rank before processes have been launched as this will initialize the PJRT computation client in the main process (#16966)
• Fix inefficiency in rich progress bar (#18369)

Fixed

• Fixed FSDP full-precision param_dtype training (16-mixed and bf16-mixed configurations) to avoid FSDP assertion errors with PyTorch < 2.0 (#18278)
• Fixed an issue that prevented the use of custom logger classes without an experiment property defined (#18093)
• Fixed setting the tracking uri in MLFlowLogger for logging artifacts to the MLFlow server (#18395)
• Fixed redundant iter() call to dataloader when checking dataloading configuration (#18415)
• Fixed model parameters getting shared between processes when running with strategy="ddp_spawn" and accelerator="cpu"; this has a necessary memory impact, as parameters are replicated for each process now (#18238)
• Properly manage fetcher.done with dataloader_iter (#18376)

---

Contributors

@​awaelchli, @​Borda, @​carmocca, @​quintenroets, @​rlizzo, @​speediedan, @​tchaton

... (truncated)

Commits

• 8345689 releasing 2.0.8
• efa83da Fix incomplete cherry-pick for #16966
• 4a6ab85 cleaning chlog & fix imports
• 6d99729 Allow custom loggers without an experiment property (#18093)
• 8726af4 Accommodate FSDP full-precision param_dtype training with PyTorch < 2.0 (#1...
• 21563f8 Fixes around Strategy.set_world_ranks (#16966)
• 8c72438 Remove warning on no_backward_sync with XLA strategy (#17761)
• ddfd5fe Disable memory sharing on model parameters in ddp-spawn (#18238)
• 61793cc Remove _handle_is_headless calls in app run loop (#18362)
• 4c8b6ad docs: updating logos (#18375)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #53.