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[None][feat] Update TRTLLM MoE MxFP4 cubins; autotune tileN #8156
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…rtllm batchedGemm config.json Signed-off-by: Anthony Chang <[email protected]>
…input for better result tune tileN for all trtllm moe ops; remove imbalance_factor from interface reduce test size Signed-off-by: Anthony Chang <[email protected]>
disable tuning multiple runners in fp8 block scale moe for now Signed-off-by: Anthony Chang <[email protected]>
Signed-off-by: Anthony Chang <[email protected]>
Signed-off-by: Anthony Chang <[email protected]>
Signed-off-by: Anthony Chang <[email protected]>
Signed-off-by: Anthony Chang <[email protected]>
Signed-off-by: Anthony Chang <[email protected]>
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2 failures in [A10-PyTorch-1] tests in the most recent pipeline. But both tests pass locally (at least using B200s). test_trtllm_serve_multimodal_example.py: test_rpc.py But my local testing on B200 looks fine |
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PR_Github #22157 [ run ] completed with state |
) Signed-off-by: Anthony Chang <[email protected]> Signed-off-by: yufeiwu-nv <[email protected]>
) Signed-off-by: Anthony Chang <[email protected]>
) Signed-off-by: Anthony Chang <[email protected]>
) Signed-off-by: Anthony Chang <[email protected]>
) Signed-off-by: Anthony Chang <[email protected]>
Summary by CodeRabbit
Release Notes
New Features
Improvements
Tests
Description
randint(-5, 5)appears to report benchmark result more accurately thanrandn().GPT-OSS-120b TP1
Test Coverage
PR Checklist
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
Documentation updated as needed
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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