[None][infra] Address CodeRabbit review feedback

- Remove duplicate BB Vision/Multi-Modal section in ad-onboard-reviewer.md
- Remove stale --benchmark.enabled flag from .vscode/launch.json
- Update copyright year to 2025-2026 in _onnx_schemas.py

Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>

Author: govind-ramnarayan

.claude/agents/ad-onboard-reviewer.md

@@ -44,15 +44,6 @@ Read the actual source code for each check. Cite `file:line_number` for every PA
 
 Note: BB1–BB2 only apply if the HF source indicates the model is multi-modal (has image/audio inputs). Mark N/A with justification for pure language models.
 
-### BB. Vision / Multi-Modal Support
-
-| # | Check | How to verify |
-|---|-------|---------------|
-| BB1 | If the model has a vision tower (multi-modal), the full `nn.Module` hierarchy for the vision component is present in the modeling file — it is NOT omitted, stubbed out, or replaced with a `pass` body | Grep for vision-related class names (e.g., `VisionTower`, `ViT`, `CLIPVision`, `SiglipVision`) from the HF source. If the model is multi-modal and none appear, flag as FAIL. |
-| BB2 | The test file asserts that vision-related weight keys are present in the model's `state_dict` after `load_state_dict` | Grep the test file for assertions on vision weight key names (or a check that vision-prefixed keys are in the loaded state_dict). Absence of any such assertion is a FAIL for multi-modal models. |
-
-Note: BB1–BB2 only apply if the HF source indicates the model is multi-modal (has image/audio inputs). Mark N/A with justification for pure language models.
-
 ### C. Ops & Compatibility (STRICT — canonical ops are the backbone of AD)
 
 | # | Check | How to verify |

examples/auto_deploy/.vscode/launch.json

@@ -14,7 +14,6 @@
                 "--args.attn-page-size=16",
                 "--args.transforms.insert-cached-attention.backend=flashinfer",
                 "--args.model-factory=AutoModelForCausalLM",
-                "--benchmark.enabled=false",
                 "--prompt.batch-size=2",
                 "--args.model-kwargs.num-hidden-layers=3",
                 "--args.model-kwargs.num-attention-heads=32",

tensorrt_llm/_torch/auto_deploy/transform/library/_onnx_schemas.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2025-2026, NVIDIA CORPORATION. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.