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[https://nvbugs/5461712] [fix] Use DG for Qwen3 Linear layers - #8030

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byshiue merged 1 commit into
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achartier:qwen3_dg
Sep 28, 2025
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[https://nvbugs/5461712] [fix] Use DG for Qwen3 Linear layers#8030
byshiue merged 1 commit into
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achartier:qwen3_dg

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Summary by CodeRabbit

  • New Features
    • Added a post-load weight processing step for Qwen3 FP8 models to re-smooth and align weights to the correct FP8 layout, improving inference stability and performance on supported GPUs. Includes progress feedback during processing.
  • Refactor
    • Cleaned up deprecated configuration paths related to legacy optimization flags to simplify setup and reduce confusion for users.

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Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
@achartier achartier changed the title Use DG for Qwen3 Linear layers [None][chore] Use DG for Qwen3 Linear layers Sep 26, 2025
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PR_Github #20112 [ run ] triggered by Bot

@jhaotingc
jhaotingc requested a review from byshiue September 26, 2025 20:16
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PR_Github #20112 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15155 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@achartier achartier changed the title [None][chore] Use DG for Qwen3 Linear layers [https://nvbugs/5461712] [fix] Use DG for Qwen3 Linear layers Sep 27, 2025
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achartier marked this pull request as ready for review September 27, 2025 02:07
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achartier requested review from a team as code owners September 27, 2025 02:07
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achartier requested a review from brb-nv September 27, 2025 02:07
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📝 Walkthrough

Walkthrough

Removes legacy deep_gemm disable flag usage in Qwen3 attention/decoder constructors. Adds post_load_weights to Qwen3ForCausalLM to re-smooth weights and scales into FP8 layout after loading when specific FP8 conditions are met. Introduces supporting imports (tqdm, is_sm_100f, FP8 utilities).

Changes

Cohort / File(s) Summary of Changes
Qwen3 FP8 post-load and constructor cleanup
tensorrt_llm/_torch/models/modeling_qwen3.py
- Stopped passing disable_deep_gemm to Qwen3Attention, Qwen3DecoderLayer, and related constructors
- Added post_load_weights(self) in Qwen3ForCausalLM to iterate modules and, under FP8 conditions, re-smooth to FP8 (E8M0) and update module.weight/module.weight_scale
- Added imports: tqdm, is_sm_100f, resmooth_to_fp8_e8m0, transform_sf_into_required_layout

Sequence Diagram(s)

sequenceDiagram
  autonumber
  participant User
  participant Qwen3ForCausalLM as Qwen3ForCausalLM
  participant Modules as Model Modules
  participant FP8Utils as FP8 Utils

  User->>Qwen3ForCausalLM: load_state_dict(...)
  Note over Qwen3ForCausalLM: Weights loaded

  User->>Qwen3ForCausalLM: post_load_weights()
  Qwen3ForCausalLM->>Modules: iterate all modules
  alt Module meets FP8 conditions
    Qwen3ForCausalLM->>FP8Utils: transform_sf_into_required_layout(scale_factors)
    FP8Utils-->>Qwen3ForCausalLM: transformed scales
    Qwen3ForCausalLM->>FP8Utils: resmooth_to_fp8_e8m0(weights, scales)
    FP8Utils-->>Qwen3ForCausalLM: fp8_weights, fp8_scales
    Qwen3ForCausalLM->>Modules: update module.weight, module.weight_scale
  else Not FP8 or conditions unmet
    Note over Modules: No changes
  end
  Qwen3ForCausalLM-->>User: post-load complete
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

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❌ Failed checks (2 warnings)
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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 follows the required template by including the NVBugs ID, the fix type, and a concise summary of the main change to enable deep GEMM for Qwen3 linear layers, making it clear and specific.
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Actionable comments posted: 1

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Comment thread tensorrt_llm/_torch/models/modeling_qwen3.py
@byshiue
byshiue merged commit 77b68d9 into NVIDIA:main Sep 28, 2025
10 of 13 checks passed
@achartier
achartier deleted the qwen3_dg branch October 23, 2025 22:23
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 1, 2025
…#8030)

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 3, 2025
…#8030)

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 3, 2025
…#8030)

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 3, 2025
…#8030)

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
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