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Support kv8 (FP8) with torch_native attention backend (#12596)

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Signed-off-by: Ho-Ren (Jack) Chuang <horenchuang@bytedance.com>
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Ho-Ren (Jack) Chuang
2025-12-28 10:48:30 +08:00
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commit 349ce2dd19
2 changed files with 11 additions and 1 deletions
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docs/advanced_features/attention_backend.md
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@@ -21,7 +21,7 @@ The support matrix is split into two parts: MHA (standard attention) and MLA (mu
| **FA3 (FlashAttention 3)** | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ |
| **FA4 (FlashAttention 4)** | 128 | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
| **Triton** | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ |
| **Torch Native (SDPA)** | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ |
| **Torch Native (SDPA)** | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ |
| **FlexAttention (PyTorch)** | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
| **TRTLLM MHA** | 16, 32 or 64 | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ |
| **Dual Chunk FlashAttention** | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |