how to support FlashAttention2?
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Description
Hi, does the currently transferred trt engine support flash focus2 by default? If it is not supported by default, how should I use fa2 in the output engine?
Thanks,
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by checking the current TensorRT engine support for FlashAttention2 and any existing integration or usage guidance. Determine whether FlashAttention2 is supported by default and, if not, identify the documented steps required to use it in the output engine; the issue is complete when this behavior and procedure are clearly explained.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100