Install FlashAttention on non-RDNA1/2 GPUs#2
Merged
patientx merged 2 commits intopatientx-cfz:masterfrom Apr 2, 2026
Merged
Conversation
0xDELUXA
force-pushed
the
add-flash-attn
branch
2 times, most recently
from
55a8839 to
9fd94c2
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds automatic FlashAttention installation on GPUs except RDNA1/2 during setup.
See the results of
SageAttn V1vsFA2 Tritonhere: Dao-AILab/flash-attention#2400.Ignore CK, as it’s very specific for now. The Triton backend works for all GPUs supported by aiter.
Based on the wheels available at: https://github.com/0xDELUXA/flash-attention/releases/tag/v2.8.4_win-rocm