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Torchao float8 training #3348

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Torchao float8 training #3348

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muellerzr
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@muellerzr muellerzr commented Jan 16, 2025

What does this PR do?

This PR is the start of incorporating torchao float8 training into Accelerate.

It does so by refactoring the backend to be more modular as more FP8 backends come out, and adds new benchmarking tests for it.

Current status of benchmarks:

  • Single GPU ✔️
  • DDP: ✔️
  • FSDP: ✔️
  • DeepSpeed: ✔️

Also need to work on a testing suite.

Fixes # (issue)

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  • This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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  • Did you make sure to update the documentation with your changes? Here are the
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  • Did you write any new necessary tests?

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@SunMarc

@muellerzr muellerzr requested a review from SunMarc January 16, 2025 15:57
old_named_params = get_named_parameters(model)

with torch.no_grad():
convert_model(model)
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looks like this is still using TE - intended?

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Nope, needed to update these scripts, thought I had only pushed single-GPU! Though now DDP and FSDP are good, verifying DeepSpeed in a moment

@muellerzr muellerzr changed the title Torchao float8 training [WIP/MVP] Torchao float8 training Jan 17, 2025
@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

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3 participants