chore(deps): bump accelerate from 1.6.0 to 1.11.0 in /backend

[dependabot]

Bumps accelerate from 1.6.0 to 1.11.0.

Release notes

Sourced from accelerate's releases.

v1.10.1: Patchfix

• Feat: add to_json by @​S1ro1 in huggingface/accelerate#3743
• Protect import for device_mesh by @​SunMarc in huggingface/accelerate#3742.

Full Changelog: huggingface/accelerate@v1.10.0...v1.10.1

v1.10.0: N-D Parallelism

N-D Parallelism

Training large models across multiple GPUs can be complex, especially when combining different parallelism strategies (e.g TP, CP, DP). To simplify this process, we've collaborated with Axolotl to introduce an easy-to-use integration that allows you to apply any combination of parallelism strategies directly in your training script. Just pass a ParallelismConfig specifying the size of each parallelism type—it's that simple. Learn more about how it works in our latest blogpost.

parallelism_config = ParallelismConfig(
    dp_shard_size=2,
    dp_replicate_size=2,
    cp_size=2,
    tp_size=2,
)
accelerator = Accelerator(
    parallelism_config=parallelism_config,
   ...
)
model = AutoModelForCausalLM.from_pretrained("your-model-name", device_mesh=accelerator.torch_device_mesh)
model = accelerator.prepare(model)

• Parallelism config + TP + HSDP + BYODM (Bring Your Own Device Mesh) by @​SalmanMohammadi in huggingface/accelerate#3682
• Feat: context parallel v2.0 by @​S1ro1 in huggingface/accelerate#3700
• set default submesh_tp_size to prevent unset local variable error by @​winglian in huggingface/accelerate#3687
• Add Parallelism getter property to Accelerator class by @​WoosungMyung in huggingface/accelerate#3703
• Fix: prepare works even if nothing except tp specified (rare) by @​S1ro1 in huggingface/accelerate#3707
• Set parallelism_config in constructor due to Trainer reset of State by @​winglian in huggingface/accelerate#3713
• Fix: tp size wouldn't read from env by @​S1ro1 in huggingface/accelerate#3716
• Remove ParallelismConfig from PartialState by @​SunMarc in huggingface/accelerate#3720

FSDP improvements

We've fixed ignored modules attribute. With this, it is now possible to train PEFT model that moe layers that contrains q_proj and v_proj parameters. This is especially important for fine-tuning gpt-oss model.

• ENH: Allow FSDP ignored modules to be regex by @​BenjaminBossan in huggingface/accelerate#3698
• TST Add test for FSDP ignored_modules as str by @​BenjaminBossan in huggingface/accelerate#3719

Minor improvements

• feature: CpuOffload pre_forward don't attempt to move if already on device by @​JoeGaffney in huggingface/accelerate#3695
• Fix: Ensure environment variable values are case-insensitive in Accelerate by @​jp1924 in huggingface/accelerate#3712
• remove use_ipex by @​SunMarc in huggingface/accelerate#3721

New Contributors

... (truncated)

Commits

• 9a81156 Release: v1.11.0
• 5998f86 refactor: nit change for get_parameters_from_modules (code debt) (#3815)
• f0313a6 Fix tracking swanlab (#3810)
• df0c187 Bump to python3.10 + update linter (#3809)
• bc2478a fix (#3808)
• 057edec fix (skip) cache flush when original device is cpu and offloaded to disk `m...
• 1438331 Remove deprecated FindTiedParametersResult (#3786)
• a737437 Revert "fix: correct dictionary unpacking in recursively_apply function (#376...
• 6997855 rm mlflow (#3783)
• 401075f Add optional typing (#3769)
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A newer version of accelerate exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.