[TRTLLM-6222][feat] enable cutedsl nvfp4 linear by default

[zerollzeng]

Summary by CodeRabbit

• Chores
  • Updated default optimization settings for linear layer computations.

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Description

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[coderabbitai[bot]]

📝 Walkthrough

Walkthrough

The use_cute_dsl_nvfp4_blockscaling_mm parameter default in the Linear module's __init__ method was changed from False to True. This makes the NVFP4 blockscaling DSL computation path the default behavior for linear layer operations.

Changes

Cohort / File(s)	Change Summary
Linear module parameter default tensorrt_llm/_torch/modules/linear.py	Changed use_cute_dsl_nvfp4_blockscaling_mm parameter default from False to True in the Linear class __init__ method

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

• Verify that changing this default does not break existing tests or expected behavior
• Confirm the implications of enabling NVFP4 blockscaling DSL by default on performance and compatibility

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is entirely blank except for the template structure. No actual description, test coverage, or rationale is provided.	Add a clear description explaining the purpose of enabling cutedsl nvfp4 linear by default, list relevant test coverage, and confirm PR checklist items.
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	You can run @coderabbitai generate docstrings to improve docstring coverage.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly describes the main change: enabling the cutedsl nvfp4 linear module by default in the Linear class initialization.

✨ Finishing touches

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[zerollzeng]

/bot run

[zerollzeng]

@kaiyux for viz.

[tensorrt-cicd]

PR_Github #25642 [ run ] triggered by Bot. Commit: b5b5d92

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PR_Github #25642 [ run ] completed with state SUCCESS. Commit: b5b5d92 /LLM/main/L0_MergeRequest_PR pipeline #19429 completed with status: 'FAILURE'

[zerollzeng]

/bot run

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PR_Github #25805 [ run ] triggered by Bot. Commit: 294a8f5

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PR_Github #25805 [ run ] completed with state SUCCESS. Commit: 294a8f5 /LLM/main/L0_MergeRequest_PR pipeline #19572 completed with status: 'FAILURE'

[zerollzeng]

/bot run

[zerollzeng]

/bot kill

[zerollzeng]

/bot run

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PR_Github #25916 [ kill ] triggered by Bot. Commit: 93e6ff5

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PR_Github #25916 [ kill ] completed with state SUCCESS. Commit: 93e6ff5 Successfully killed previous jobs for commit 93e6ff5

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PR_Github #25921 [ run ] triggered by Bot. Commit: 93e6ff5

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PR_Github #25921 [ run ] completed with state SUCCESS. Commit: 93e6ff5 /LLM/main/L0_MergeRequest_PR pipeline #19654 completed with status: 'FAILURE'

[zerollzeng]

/bot run

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PR_Github #25960 [ run ] triggered by Bot. Commit: 9298173

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PR_Github #25960 [ run ] completed with state SUCCESS. Commit: 9298173 /LLM/main/L0_MergeRequest_PR pipeline #19686 completed with status: 'FAILURE'

[zerollzeng]

/bot run

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PR_Github #26037 [ run ] triggered by Bot. Commit: 9298173

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PR_Github #26037 [ run ] completed with state SUCCESS. Commit: 9298173 /LLM/main/L0_MergeRequest_PR pipeline #19762 completed with status: 'SUCCESS'

[kaiyux]

Hold this PR considering https://github.com/NVIDIA/TensorRT-LLM/pull/8963 should cover the functionality as well - let's keep tracking the status of that one.