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@mikeiovine mikeiovine commented Jul 22, 2025

Description

Cherry pick this fix from main. Original PR: #5834

The scale is unset, which will cause a bad_optional_access exception inside the custom op.

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Summary by CodeRabbit

  • New Features
    • Improved attention mechanism with enhanced output scaling support in the Llama4 model.

@mikeiovine mikeiovine requested a review from yilin-void July 22, 2025 20:56
@mikeiovine mikeiovine requested a review from a team as a code owner July 22, 2025 20:56
@mikeiovine mikeiovine requested a review from symphonylyh July 22, 2025 20:56
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coderabbitai bot commented Jul 22, 2025

Walkthrough

A new local variable, out_scale_sf, is introduced in the _forward_nope method of the Llama4Attention class. It is conditionally set based on two attributes and is passed as an extra keyword argument to a method call. No other logic or control flow is changed.

Changes

File Change Summary
tensorrt_llm/_torch/models/modeling_llama.py Added out_scale_sf variable in _forward_nope and passed it as a keyword argument to a method.

Estimated code review effort

1 (~2 minutes)

Poem

A bunny hops through lines anew,
With out_scale_sf in gentle view.
Condition checked, the call enhanced,
In llama code, the bits now danced.
A tiny tweak, a careful touch—
For forward flows that mean so much!


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Reviewing files that changed from the base of the PR and between 1209001 and efae635.

📒 Files selected for processing (1)
  • tensorrt_llm/_torch/models/modeling_llama.py (1 hunks)
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  • GitHub Check: Pre-commit Check
🔇 Additional comments (3)
tensorrt_llm/_torch/models/modeling_llama.py (3)

162-162: LGTM! Proper variable initialization.

The initialization of out_scale_sf to None follows the same pattern as the existing out_scale variable and ensures a safe default value.


166-167: Excellent fix for the FP4 crash issue.

This conditional assignment directly addresses the bad_optional_access exception mentioned in the PR objectives. When both NVFP4 quantization is enabled and NVFP4 output is supported, the scale factor is properly set from self.o_proj.input_scale, preventing the crash from an unset scale value.


175-175: LGTM! Completes the FP4 fix by passing the scale factor.

The addition of out_scale_sf=out_scale_sf as a keyword argument ensures the computed scale factor is properly passed to the attention forward method, completing the fix for the crash issue.

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@mikeiovine
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/bot run

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PR_Github #12608 [ run ] triggered by Bot

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PR_Github #12608 [ run ] completed with state SUCCESS
/LLM/release-0.21/L0_MergeRequest_PR pipeline #259 completed with status: 'FAILURE'

@schetlur-nv schetlur-nv merged commit a55c631 into NVIDIA:release/0.21 Jul 23, 2025
3 of 4 checks passed
@mikeiovine mikeiovine deleted the fix-llama4-crash branch July 23, 2025 18:03
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4 participants