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training/performance/README.md

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@@ -616,6 +616,6 @@ This is an even more precise solution, since it'd assign each process its own gr
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Various launchers have support for NUMA affinity settings:
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- [HF Accelerate](https://github.com/huggingface/accelerate) has aflag `--enable_cpu_affinity` that you add to the `accelerate` launch command and it'll do this for you. Available since `accelerate>0.28.0`.
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- [HF Accelerate](https://github.com/huggingface/accelerate) has a flag `--enable_cpu_affinity` that you add to the `accelerate` launch command and it'll do this for you. Available since `accelerate>0.28.0`.
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- [torchrun](https://github.com/pytorch/pytorch) doesn't have it, but I showed how to do it in this [section](#numactl).
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- srun was covered [here](#srun).

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