biondizzle/vllm
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

[NVIDIA][torch.compile] Support Flashinfer TRTLLM FP8-q/kv NVFP4-out Attention Kernel (#22703)

Browse Source 
Signed-off-by: elvischenv <219235043+elvischenv@users.noreply.github.com>
Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>
This commit is contained in:
elvischenv
2025-08-23 06:09:05 +08:00
committed by GitHub
parent cc7ae5e7ca
commit 24d0c9e6ed
27 changed files with 596 additions and 200 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
vllm/v1/attention/backends/rocm_aiter_fa.py
View File

@@ -421,6 +421,7 @@ class AiterFlashAttentionImpl(AttentionImpl):
attn_metadata: AiterFlashAttentionMetadata,
output: Optional[torch.Tensor] = None,
output_scale: Optional[torch.Tensor] = None,
output_block_scale: Optional[torch.Tensor] = None,
) -> torch.Tensor:
"""Forward pass with AiterFlashAttention.
@@ -438,7 +439,7 @@ class AiterFlashAttentionImpl(AttentionImpl):
"""
assert output is not None, "Output tensor must be provided."
if output_scale is not None:
if output_scale is not None or output_block_scale is not None:
raise NotImplementedError(
"fused output quantization is not yet supported"
" for FlashAttentionImpl")