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[https://nvbugs/5488576][fix] Propagate disable_finalize_fusion config flag in WIDEEP MoE backend by sklevtsov-nvidia · Pull Request #8141 · NVIDIA/TensorRT-LLM · GitHub
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@sklevtsov-nvidia sklevtsov-nvidia commented Oct 4, 2025

Summary by CodeRabbit

  • New Features
    • Added a configuration option to enable or disable fused finalize behavior in Mixture-of-Experts layers. Runtime now respects your model settings instead of always forcing fusion. This provides finer control to balance performance and stability across environments. Existing configurations continue to work as-is; adjust the setting only if you need different behavior.

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@sklevtsov-nvidia sklevtsov-nvidia requested a review from a team as a code owner October 4, 2025 02:10
Signed-off-by: Sergey Klevtsov <sklevtsov@nvidia.com>
@sklevtsov-nvidia sklevtsov-nvidia force-pushed the feature/wideep-disable-finalize-fusion branch from 3d296bd to d02fadf Compare October 4, 2025 02:11
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📝 Walkthrough

Walkthrough

Adds a configurable flag for finalize fusion in FusedMoeWideEP by deriving use_fused_finalize from model_config.moe_disable_finalize_fusion and passing it to forward_chunk instead of a hard-coded True.

Changes

Cohort / File(s) Summary of edits
Fused MoE finalize fusion flag
tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py
Introduced instance attribute use_fused_finalize sourced from model_config.moe_disable_finalize_fusion; updated forward_chunk call to pass use_fused_finalize instead of a constant True.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor U as Caller
  participant M as FusedMoeWideEP
  participant C as forward_chunk

  U->>M: forward(inputs, model_config)
  Note right of M: Initialize use_fused_finalize from<br/>model_config.moe_disable_finalize_fusion
  M->>C: forward_chunk(..., use_fused_finalize)
  alt use_fused_finalize enabled
    C-->>M: Run with fused finalize
  else use_fused_finalize disabled
    C-->>M: Run without fused finalize
  end
  M-->>U: outputs
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🎯 2 (Simple) | ⏱️ ~10 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.
Description Check ⚠️ Warning The PR description consists solely of the unfilled template and lacks any actual title, implementation summary, testing details, or checklist confirmations required by the repository’s description template, so it does not meet the minimum documentation standards. Please replace the placeholder template with a completed PR title formatted per the guidelines, a concise Description of the change and its motivation, a Test Coverage section listing relevant tests, and a filled-out PR Checklist indicating compliance with each item.
✅ Passed checks (1 passed)
Check name Status Explanation
Title Check ✅ Passed The title clearly follows the required template by including the NVBugs ID and [fix] type and succinctly summarizes the main change of propagating the disable_finalize_fusion flag in the WIDEEP MoE backend, matching the implemented code updates.
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Actionable comments posted: 1

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py (1)

1-1: Add the required NVIDIA Apache-2.0 copyright header.

The file is missing the required copyright header at the top. As per coding guidelines, all source files (.py, .cpp, .h, etc.) must include the NVIDIA Apache-2.0 copyright header with the current year.

Add the following header at the top of the file:

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import os

As per coding guidelines.

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  • tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py (2 hunks)
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tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py (1)

229-229: LGTM! Correct negation of disable flag to enable flag.

The negation logic correctly converts moe_disable_finalize_fusion (disable semantics) to use_fused_finalize (enable semantics). When the config disables finalize fusion, the instance flag is set to False, and vice versa.

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/bot run

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PR_Github #20684 [ run ] triggered by Bot

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PR_Github #20684 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15626 completed with status: 'FAILURE'

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LGTM

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/bot run

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PR_Github #20699 [ run ] triggered by Bot

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PR_Github #20699 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15637 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@achartier achartier merged commit 017583a into NVIDIA:main Oct 7, 2025
7 of 9 checks passed
kaiyux pushed a commit to kaiyux/TensorRT-LLM that referenced this pull request Oct 22, 2025
…g flag in WIDEEP MoE backend (NVIDIA#8141)

Signed-off-by: Sergey Klevtsov <sklevtsov@nvidia.com>
kaiyux added a commit that referenced this pull request Oct 22, 2025
…g flag in WIDEEP MoE backend (cherry-pick #8141) (#8566)

Signed-off-by: Sergey Klevtsov <sklevtsov@nvidia.com>
Co-authored-by: Sergey Klevtsov <141879860+sklevtsov-nvidia@users.noreply.github.com>
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