[None][fix] Pass checkpoint_format to create_input_processor

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Summary by CodeRabbit

• New Features
  • Added support for specifying checkpoint format during model initialization to enable compatibility with additional checkpoint types.

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PR_Github #26017 [ run ] triggered by Bot. Commit: 6d8338d

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📝 Walkthrough

Walkthrough

Updated the call to create_input_processor() to explicitly pass tokenizer=None and a new checkpoint_format parameter sourced from llm_args.checkpoint_format. Control flow remains unchanged; only the input processor initialization signature is affected.

Changes

Cohort / File(s)	Summary
Input processor initialization tensorrt_llm/_torch/pyexecutor/model_engine.py	Modified create_input_processor() call to pass tokenizer=None as an explicit keyword argument and added new checkpoint_format parameter from llm_args.checkpoint_format

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

• Verify the new checkpoint_format parameter is correctly sourced from llm_args and passed without errors
• Confirm that the create_input_processor() function signature in tensorrt_llm.inputs.registry properly supports the new parameter

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete; it contains only the repository template with no concrete explanation of the issue, solution, test coverage, or implementation details.	Add a Description section explaining what was changed and why, a Test Coverage section listing relevant tests, and confirm the PR Checklist items are addressed.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely summarizes the main change: passing checkpoint_format to create_input_processor, matching the actual code modifications.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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📥 Commits

Reviewing files that changed from the base of the PR and between e47927e and 6d8338d.

📒 Files selected for processing (1)

• tensorrt_llm/_torch/pyexecutor/model_engine.py (1 hunks)

🧰 Additional context used

📓 Path-based instructions (2)

**/*.py

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Files:

• tensorrt_llm/_torch/pyexecutor/model_engine.py

**/*.{cpp,h,cu,py}

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All TensorRT-LLM Open Source Software code files should contain an NVIDIA copyright header that includes the current year at the top

Files:

• tensorrt_llm/_torch/pyexecutor/model_engine.py

🧠 Learnings (1)

📓 Common learnings

Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.

🧬 Code graph analysis (1)

tensorrt_llm/_torch/pyexecutor/model_engine.py (2)

tensorrt_llm/inputs/registry.py (4)

• create_input_processor (557-605)
• model_path (332-333)
• tokenizer (151-153)
• tokenizer (322-323)

tensorrt_llm/_torch/models/checkpoints/hf/checkpoint_loader.py (1)

• checkpoint_format (74-75)

🔇 Additional comments (1)

tensorrt_llm/_torch/pyexecutor/model_engine.py (1)

185-188: Unable to verify code changes due to repository access issues.

I encountered persistent failures when attempting to access the NVIDIA/TensorRT-LLM repository to verify the review comment. Without access to the actual codebase, I cannot independently confirm:

• The exact code at lines 185-188 matches the snippet shown
• The create_input_processor function signature and parameter types
• Whether llm_args.checkpoint_format is properly available at this call site
• The implementation details of how checkpoint_format is used in the function

The review comment makes specific technical claims about parameter passing and custom checkpoint format handling that require codebase verification to validate. The verification shell scripts included in the original comment would be helpful to run manually to confirm the fix works as intended across different checkpoint formats.

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