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@shuyixiong shuyixiong commented Dec 19, 2025

Summary by CodeRabbit

Release Notes

  • Bug Fixes
    • Improved tensor memory handling during quantized model loading operations for enhanced stability and compatibility.

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@shuyixiong shuyixiong requested a review from a team as a code owner December 19, 2025 03:12
@shuyixiong shuyixiong requested a review from HuiGao-NV December 19, 2025 03:12
@shuyixiong shuyixiong self-assigned this Dec 19, 2025
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coderabbitai bot commented Dec 19, 2025

📝 Walkthrough

Walkthrough

The change adds contiguous() calls before .view() operations in NVFP4 quantization tensor preparation to ensure proper memory layout before reshaping weight scales and weight shards in both NVFP4 and Cutlass NVFP4 code paths.

Changes

Cohort / File(s) Summary
NVFP4 Quantization Tensor Preparation
tensorrt_llm/_torch/modules/fused_moe/quantization.py
Added contiguous() calls before .view() operations for weight scales and shards across NVFP4 and Cutlass NVFP4 variants to ensure proper tensor memory layout before reshaping and concatenation

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

  • Multiple affected code paths (NVFP4 and Cutlass NVFP4 variants)
  • Tensor memory layout issues require verification of contiguity requirements
  • Consistent pattern application across similar functions, but each variant should be verified independently
  • No public API changes simplifies scope, but correctness of tensor layout fixes demands careful attention

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Description check ⚠️ Warning The PR description is incomplete and lacks essential information about what changes were made and why, containing only template placeholders without substantive content. Fill in the Description section explaining the issue with uncontiguous tensors and the fix applied. Provide Test Coverage details listing relevant tests. Ensure PR title follows the specified format with ticket ID and type prefix.
✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and specifically describes the main change: fixing a view operation on uncontiguous tensors, with a proper NVBugs ticket reference and fix type.
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/bot run --extra-stage "DGX_B200-4_GPUs-PyTorch-Post-Merge-1" --disable-fail-fast

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PR_Github #29100 [ run ] triggered by Bot. Commit: ab87c93

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PR_Github #29100 [ run ] completed with state SUCCESS. Commit: ab87c93
/LLM/main/L0_MergeRequest_PR pipeline #22314 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

Signed-off-by: Shuyi Xiong <[email protected]>
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/bot run --extra-stage "DGX_B200-4_GPUs-PyTorch-Post-Merge-1" --disable-fail-fast

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PR_Github #29207 [ run ] triggered by Bot. Commit: 674826d

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PR_Github #29207 [ run ] completed with state SUCCESS. Commit: 674826d
/LLM/main/L0_MergeRequest_PR pipeline #22410 completed with status: 'FAILURE'

⚠️ Action Required:

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  • If you cannot view the failures, ask the CI triggerer to share details
  • Once fixed, request an NVIDIA team member to trigger CI again

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/bot run --extra-stage "DGX_B200-4_GPUs-PyTorch-Post-Merge-1" --disable-fail-fast

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PR_Github #29282 [ run ] triggered by Bot. Commit: 674826d

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