Fix for docs on deepspeed inference #482
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This patch would do the basic setup (that would still require compilation at first run): josemduarte@0183be7 . |
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Good catch on the wrong parameter name! CUTLASS should be installed with the You're right though that this step is currently missing from the Docker image, we will update that. |
ljarosch
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Dec 7, 2024
| The **DeepSpeed DS4Sci_EvoformerAttention kernel** is a memory-efficient attention kernel developed as part of a collaboration between OpenFold and the DeepSpeed4Science initiative. | ||
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| 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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@josemduarte Would you mind removing the line about CUTLASS given that it should be covered by the standard setup already?
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The main issue is that the parameter name did not coincide with the code.
Question: could the deepspeed extra dependency on CUTLASS be baked into the docker image? I could give it a try but I'm wondering if someone has come across issues with that.