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Torchao float8 training #3348
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Torchao float8 training #3348
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benchmarks/fp8/torchao/ddp.py
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old_named_params = get_named_parameters(model) | ||
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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
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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. |
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:
Also need to work on a testing suite.
Fixes # (issue)
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