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Doc fix: TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL not necessary to use Triton kernel patches (#2343)

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* removing note about TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL

* suggest using TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL for memory efficient attn
This commit is contained in:
Dan Saunders
2025-02-18 10:06:31 -05:00
committed by GitHub
parent 7fa690fac8
commit c3d4f6e295
1 changed files with 1 additions and 1 deletions
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docs/lora_optims.qmd
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@@ -82,7 +82,7 @@ lora_o_kernel: true
## Requirements ## Requirements
- One or more NVIDIA or AMD GPUs (in order to use the Triton kernels) - One or more NVIDIA or AMD GPUs (in order to use the Triton kernels)
- AMD can be used with experimental Triton support by setting the environment variable `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1` - Note: Set `TORCH_ROCM_AOTRITON_ENABLE_EXPERIMENTAL=1` to enable [memory-efficient attention on AMD GPUs](https://github.com/ROCm/aotriton/issues/16#issuecomment-2346675491)
- Targeted LoRA adapters cannot use Dropout - Targeted LoRA adapters cannot use Dropout
- This may limit model expressivity / cause overfitting - This may limit model expressivity / cause overfitting
- Targeted LoRA adapters cannot have bias terms - Targeted LoRA adapters cannot have bias terms