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Fix TURBOQUANT backend selection in cuda.py #40060

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Merged
vllm-bot merged 2 commits into from
Apr 17, 2026
Merged

Fix TURBOQUANT backend selection in cuda.py #40060

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c6087aa
Fix TURBOQUANT backend selection
mgoin Apr 16, 2026
f99cc1e
Add TURBOQUANT backend to attention backends list
mgoin Apr 16, 2026
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2 changes: 2 additions & 0 deletions docs/design/attention_backends.md
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Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,7 @@ Priority is **1 = highest** (tried first).
| 2 | `FLASH_ATTN` |
| 3 | `TRITON_ATTN` |
| 4 | `FLEX_ATTENTION` |
| 5 | `TURBOQUANT` |

**Ampere/Hopper (SM 8.x-9.x):**

Expand All @@ -115,6 +116,7 @@ Priority is **1 = highest** (tried first).
| 2 | `FLASHINFER` |
| 3 | `TRITON_ATTN` |
| 4 | `FLEX_ATTENTION` |
| 5 | `TURBOQUANT` |

### MLA Attention (DeepSeek-style)

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7 changes: 2 additions & 5 deletions vllm/platforms/cuda.py
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Expand Up @@ -131,13 +131,15 @@ def _get_backend_priorities(
AttentionBackendEnum.FLASH_ATTN,
AttentionBackendEnum.TRITON_ATTN,
AttentionBackendEnum.FLEX_ATTENTION,
AttentionBackendEnum.TURBOQUANT,
]
else:
return [
AttentionBackendEnum.FLASH_ATTN,
AttentionBackendEnum.FLASHINFER,
AttentionBackendEnum.TRITON_ATTN,
AttentionBackendEnum.FLEX_ATTENTION,
AttentionBackendEnum.TURBOQUANT,
]
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mgoin marked this conversation as resolved.


Expand Down Expand Up @@ -255,11 +257,6 @@ def get_valid_backends(
valid_backends_priorities = []
invalid_reasons: dict[AttentionBackendEnum, tuple[int, list[str]]] = {}

# TurboQuant KV cache: route directly to TQ backend
kv_cache_dtype = attn_selector_config.kv_cache_dtype
if kv_cache_dtype is not None and kv_cache_dtype.startswith("turboquant_"):
return [(AttentionBackendEnum.TURBOQUANT, 0)], {}

backend_priorities = _get_backend_priorities(
attn_selector_config.use_mla,
device_capability,
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