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[None][feat] Add fmha_v2 kernel for head_dim=80 and sm=100 to support VLM #8392
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[None][feat] Add fmha_v2 kernel for head_dim=80 and sm=100 to support VLM #8392
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📝 WalkthroughWalkthroughAdds a new condition in fmha_v2 setup to include SigLip/Clip kernel specs for SM100 with specific dtypes and head sizes. Updates FmhaDispatcher to enable TRTLLM-GEN only when on SM100 and head size is a power of two; otherwise, it falls back to FMHA v2. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Build as Setup Script
participant KGen as KernelSpec Generator
participant Pub as PublicKernelList
Note over Build,KGen: Kernel spec publication (build-time)
Build->>KGen: Enumerate kernel spec candidates
alt SM=100 and dtype in {fp16,bf16,fp16_fp32,e4m3,e4m3_fp32}\nand head_size=80 and head_size_v=0\nand ver=2 and !cross_mha and flash_attention\nand input_layout != SEPARATE_Q_K_V
KGen-->>Pub: Include SigLip/Clip/SigLip kspecs
else Other existing conditions
KGen-->>Pub: Include previously defined kspecs
end
sequenceDiagram
autonumber
participant Caller
participant Disp as FmhaDispatcher
participant Gen as TllmGenFMHARunner
participant V2 as FusedMHARunnerV2
Caller->>Disp: Construct(headSize, sm, ...)
alt SM100 family AND headSize is power-of-two
Note right of Disp: mUseTllmGen = true
Disp->>Gen: Initialize TRTLLM-GEN path
else Otherwise
Note right of Disp: mUseTllmGen = false
Disp->>V2: Initialize FMHA v2 path
end
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks and finishing touches❌ Failed checks (2 warnings)
✅ Passed checks (1 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
cpp/kernels/fmha_v2/setup.py (1)
6382-6391: Use boolean truthiness instead of == True/False (ruff E712).Minor cleanup; no behavior change.
- or (kspec.sm == 100 + or (kspec.sm == 100 and kspec.dtype in ['fp16', 'bf16', 'fp16_fp32', 'e4m3', 'e4m3_fp32'] and kspec.head_size == 80 and kspec.head_size_v == 0 and kspec.sage_block_sizes is None and kspec.version == 2 - and kspec.cross_mha == False - and kspec.flash_attention == True + and not kspec.cross_mha + and kspec.flash_attention and kspec.input_layout != InputLayout.SEPARATE_Q_K_V)Also, do we need to include sm == 103 (SM100 family) here like other places treat 100/103 equivalently? If required, mirror this clause for sm == 103.
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📒 Files selected for processing (2)
cpp/kernels/fmha_v2/setup.py(1 hunks)cpp/tensorrt_llm/kernels/fmhaDispatcher.cpp(1 hunks)
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🧬 Code graph analysis (1)
cpp/tensorrt_llm/kernels/fmhaDispatcher.cpp (2)
tests/unittest/utils/util.py (1)
isSM100Family(78-80)cpp/include/tensorrt_llm/common/cudaUtils.h (1)
isSM100Family(318-322)
🪛 Ruff (0.14.0)
cpp/kernels/fmha_v2/setup.py
6389-6389: Avoid equality comparisons to False; use not kspec.cross_mha: for false checks
Replace with not kspec.cross_mha
(E712)
6390-6390: Avoid equality comparisons to True; use kspec.flash_attention: for truth checks
Replace with kspec.flash_attention
(E712)
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Summary by CodeRabbit
New Features
Bug Fixes
Description
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Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
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