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Fix for docs on deepspeed inference #482

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Fix for docs on deepspeed inference #482

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2 changes: 1 addition & 1 deletion docs/source/Inference.md
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Expand Up @@ -147,7 +147,7 @@ Some commonly used command line flags are here. A full list of flags can be view

The **DeepSpeed DS4Sci_EvoformerAttention kernel** is a memory-efficient attention kernel developed as part of a collaboration between OpenFold and the DeepSpeed4Science initiative.

If your system supports deepseed, using deepspeed generally leads an inference speedup of 2 - 3x without significant additional memory use. You may specify this option by selecting the `--use_deepspeed_inference` argument.
If your system supports deepspeed, using deepspeed generally leads an inference speedup of 2 - 3x without significant additional memory use. You may specify this option by selecting the `--use_deepspeed_evoformer_attention` argument. An additional requirement for this option is the [CUTLASS repository](https://github.com/NVIDIA/cutlass). You will need to clone it and set environment variable `CUTLASS_PATH` to point to it, see [instructions](https://www.deepspeed.ai/tutorials/ds4sci_evoformerattention/).
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@ljarosch ljarosch Dec 7, 2024

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@josemduarte Would you mind removing the line about CUTLASS given that it should be covered by the standard setup already?


If DeepSpeed is unavailable for your system, you may also try using [FlashAttention](https://github.com/HazyResearch/flash-attention) by adding `globals.use_flash = True` to the `--experiment_config_json`. Note that FlashAttention appears to work best for sequences with < 1000 residues.

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