[Bugfix][Kernel] Fix CUDA 11.8 being broken by FA3 build (#12375)

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
This commit is contained in:
Lucas Wilkinson
2025-01-24 10:27:59 -05:00
committed by GitHub
parent 3bb8e2c9a2
commit ab5bbf5ae3
6 changed files with 42 additions and 22 deletions

View File

@@ -4,8 +4,10 @@ import pytest
import torch
from vllm.platforms import current_platform
from vllm.vllm_flash_attn import (flash_attn_varlen_func,
flash_attn_with_kvcache)
from vllm.vllm_flash_attn import (fa_version_unsupported_reason,
flash_attn_varlen_func,
flash_attn_with_kvcache,
is_fa_version_supported)
NUM_HEADS = [(4, 4), (8, 2), (16, 2)]
HEAD_SIZES = [128, 256]
@@ -95,10 +97,9 @@ def test_flash_attn_with_paged_kv(
fa_version: int,
) -> None:
torch.set_default_device("cuda")
if fa_version == 3 and (torch.cuda.get_device_capability() == (8, 6)
or torch.cuda.get_device_capability() == (8, 9)):
pytest.skip("Flash attention version 3 fails on 8.6 and 8.9 due to "
"insufficient shared memory for some shapes")
if not is_fa_version_supported(fa_version):
pytest.skip(f"Flash attention version {fa_version} not supported due "
f"to: \"{fa_version_unsupported_reason(fa_version)}\"")
current_platform.seed_everything(0)
num_seqs = len(kv_lens)
@@ -182,11 +183,9 @@ def test_varlen_with_paged_kv(
fa_version: int,
) -> None:
torch.set_default_device("cuda")
if fa_version == 3 and (torch.cuda.get_device_capability() == (8, 6)
or torch.cuda.get_device_capability() == (8, 9)):
pytest.skip("Flash attention version 3 fails on 8.6 and 8.9 due to "
"insufficient shared memory for some shapes")
if not is_fa_version_supported(fa_version):
pytest.skip(f"Flash attention version {fa_version} not supported due "
f"to: \"{fa_version_unsupported_reason(fa_version)}\"")
current_platform.seed_everything(0)
num_seqs = len(seq_lens)
query_lens = [x[0] for x in seq_lens]