chore(deps): update dependency accelerate to v0.24.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
accelerate	==0.23.0 -> ==0.24.0

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Release Notes

huggingface/accelerate (accelerate)

v0.24.0: : Improved Reproducability, Bug fixes, and other Small Improvements

Compare Source

Improved Reproducibility

One critical issue with Accelerate is training runs were different when using an iterable dataset, no matter what seeds were set. v0.24.0 introduces the dataloader.set_epoch() function to all Accelerate DataLoaders, where if the underlying dataset (or sampler) has the ability to set the epoch for reproducability it will do so. This is similar to the implementation already existing in transformers. To use:

dataloader = accelerator.prepare(dataloader)

### Say we want to resume at epoch/iteration 2
dataloader.set_epoch(2)

For more information see this PR, we will update the docs on a subsequent release with more information on this API.

Documentation

• The quick tour docs have gotten a complete makeover thanks to @​MKhalusova. Take a look here
• We also now have documentation on how to perform multinode training, see the launch docs

Internal structure

• Shared file systems are now supported under save and save_state via the ProjectConfiguration dataclass. See #​1953 for more info.
• FSDP can now be used for bfloat16 mixed precision via torch.autocast
• all_gather_into_tensor is now used as the main gather operation, reducing memory in the cases of big tensors
• Specifying drop_last=True will now properly have the desired affect when performing Accelerator().gather_for_metrics()

What's Changed

• Update big_modeling.md by @​kli-casia in https://github.com/huggingface/accelerate/pull/1976
• Fix model copy after dispatch_model by @​austinapatel in https://github.com/huggingface/accelerate/pull/1971
• FIX: Automatic checkpoint path inference issue by @​BenjaminBossan in https://github.com/huggingface/accelerate/pull/1989
• Fix skip first batch for deepspeed example by @​SumanthRH in https://github.com/huggingface/accelerate/pull/2001
• [docs] Quick tour refactor by @​MKhalusova in https://github.com/huggingface/accelerate/pull/2008
• Add basic documentation for multi node training by @​SumanthRH in https://github.com/huggingface/accelerate/pull/1988
• update torch_dynamo backends by @​SunMarc in https://github.com/huggingface/accelerate/pull/1992
• Sync states for xpu fsdp by @​abhilash1910 in https://github.com/huggingface/accelerate/pull/2005
• update fsdp docs by @​pacman100 in https://github.com/huggingface/accelerate/pull/2026
• Enable shared file system with save and save_state via ProjectConfiguration by @​muellerzr in https://github.com/huggingface/accelerate/pull/1953
• Fix save on each node by @​muellerzr in https://github.com/huggingface/accelerate/pull/2036
• Allow FSDP to use with torch.autocast for bfloat16 mixed precision by @​brcps12 in https://github.com/huggingface/accelerate/pull/2033
• Fix DeepSpeed version to <0.11 by @​BenjaminBossan in https://github.com/huggingface/accelerate/pull/2043
• Unpin deepspeed by @​muellerzr in https://github.com/huggingface/accelerate/pull/2044
• Reduce memory by using all_gather_into_tensor by @​muellerzr in https://github.com/huggingface/accelerate/pull/1968
• Safely end training even if trackers weren't initialized by @​Ben-Epstein in https://github.com/huggingface/accelerate/pull/1994
• Fix integration CI by @​muellerzr in https://github.com/huggingface/accelerate/pull/2047
• Make fsdp ram efficient loading optional by @​pacman100 in https://github.com/huggingface/accelerate/pull/2037
• Let drop_last modify gather_for_metrics by @​muellerzr in https://github.com/huggingface/accelerate/pull/2048
• fix docstring by @​zhangsibo1129 in https://github.com/huggingface/accelerate/pull/2053
• Fix stalebot by @​muellerzr in https://github.com/huggingface/accelerate/pull/2052
• Add space to docs by @​muellerzr in https://github.com/huggingface/accelerate/pull/2055
• Fix the error when the "train_batch_size" is absent in DeepSpeed config by @​LZHgrla in https://github.com/huggingface/accelerate/pull/2060
• remove unused constants by @​statelesshz in https://github.com/huggingface/accelerate/pull/2045
• fix: remove useless token by @​rtrompier in https://github.com/huggingface/accelerate/pull/2069
• DOC: Fix broken link to designing a device map by @​BenjaminBossan in https://github.com/huggingface/accelerate/pull/2073
• Let iterable dataset shard have a length if implemented by @​muellerzr in https://github.com/huggingface/accelerate/pull/2066
• Allow for samplers to be seedable and reproducable by @​muellerzr in https://github.com/huggingface/accelerate/pull/2057
• Fix docstring typo by @​qgallouedec in https://github.com/huggingface/accelerate/pull/2072
• Warn when kernel version is too low on Linux by @​BenjaminBossan in https://github.com/huggingface/accelerate/pull/2077

New Contributors

• @​kli-casia made their first contribution in https://github.com/huggingface/accelerate/pull/1976
• @​MKhalusova made their first contribution in https://github.com/huggingface/accelerate/pull/2008
• @​brcps12 made their first contribution in https://github.com/huggingface/accelerate/pull/2033
• @​Ben-Epstein made their first contribution in https://github.com/huggingface/accelerate/pull/1994
• @​zhangsibo1129 made their first contribution in https://github.com/huggingface/accelerate/pull/2053
• @​LZHgrla made their first contribution in https://github.com/huggingface/accelerate/pull/2060
• @​rtrompier made their first contribution in https://github.com/huggingface/accelerate/pull/2069
• @​qgallouedec made their first contribution in https://github.com/huggingface/accelerate/pull/2072

Full Changelog: huggingface/accelerate@v0.23.0...v0.24.0

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[codecov]

Codecov Report

Merging #244 (81731a7) into main (6e9e327) will not change coverage.
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