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Summary by CodeRabbit

  • Improvements
    • Enhanced system logging for better diagnostics of LLM configuration and operational parameters.
    • Expanded executor initialization to support more comprehensive configuration options, enabling improved flexibility for advanced model deployments and configurations.

Description

Since PyTorchConfig has been removed, log the llm args instead.

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Signed-off-by: leslie-fang25 <leslief@nvidia.com>
@leslie-fang25 leslie-fang25 requested a review from a team as a code owner November 13, 2025 03:35
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@leslie-fang25 leslie-fang25 requested a review from QiJune November 13, 2025 03:36
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📝 Walkthrough

Walkthrough

Modified the executor creation in _TorchLLM._build_model to use a fully populated executor_config instead of None and pass additional parameters including batched_logits_processor, model_world_size, mpi_session, and others. Added logging for LLM arguments.

Changes

Cohort / File(s) Summary
Executor Configuration and Instantiation
tensorrt_llm/llmapi/llm.py
Added logging for LLM arguments; refactored executor creation to use populated executor_config (self._executor_config) and pass 13+ additional parameters (batched_logits_processor, model_world_size, mpi_session, reuse_mpi_comm, return_logits, postproc_worker_config, is_llm_executor, lora_config, kv_connector_config, hf_model_dir, tokenizer, llm_args, etc.) instead of minimal parameters with None executor_config.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

  • Verify all 13+ new executor parameters are correctly sourced and their types/values are appropriate
  • Ensure executor_config object is properly initialized and complete before use
  • Confirm backward compatibility and no behavioral regressions from expanded parameter passing
  • Review logging output format and placement

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
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 (2 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the change: adding logging of LLM arguments as a replacement for removed PyTorchConfig logging, matching the main code modification.
Description check ✅ Passed The description provides context for the change but lacks detailed test coverage information and leaves the Test Coverage section empty.
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Actionable comments posted: 0

🧹 Nitpick comments (1)
tensorrt_llm/llmapi/llm.py (1)

1010-1012: Add descriptive context to improve log message clarity.

The logging line lacks descriptive context. While analysis confirms no sensitive data (API keys, credentials, passwords) are exposed—only configuration parameters—adding context would improve clarity and debugging value.

-        logger.info(f"{self.args}")
+        logger.info(f"Initializing PyTorch LLM with args: {self.args}")
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  • tensorrt_llm/llmapi/llm.py (1 hunks)
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**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}

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🧠 Learnings (10)
📓 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.
Learnt from: jiaganc
Repo: NVIDIA/TensorRT-LLM PR: 7031
File: tensorrt_llm/bench/dataclasses/configuration.py:90-104
Timestamp: 2025-08-26T09:37:10.463Z
Learning: In TensorRT-LLM, the `get_pytorch_perf_config()` method returns `self.pytorch_config` which can contain default `cuda_graph_config` values, so `llm_args` may already have this config before the extra options processing.
Learnt from: shaharmor98
Repo: NVIDIA/TensorRT-LLM PR: 7231
File: tensorrt_llm/_torch/pyexecutor/_util.py:504-509
Timestamp: 2025-08-26T06:07:02.166Z
Learning: In tensorrt_llm/_torch/pyexecutor/_util.py, when calling model_engine.set_lora_model_config(), pass model_binding_config.mlp_hidden_size directly without multiplying by mapping.tp_size, as the mlp_hidden_size from get_bindings_model_config() is already the per-TP rank value needed for LoRA weight packaging.
📚 Learning: 2025-08-26T09:37:10.463Z
Learnt from: jiaganc
Repo: NVIDIA/TensorRT-LLM PR: 7031
File: tensorrt_llm/bench/dataclasses/configuration.py:90-104
Timestamp: 2025-08-26T09:37:10.463Z
Learning: In TensorRT-LLM, the `get_pytorch_perf_config()` method returns `self.pytorch_config` which can contain default `cuda_graph_config` values, so `llm_args` may already have this config before the extra options processing.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
Repo: NVIDIA/TensorRT-LLM PR: 6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-19T12:45:11.997Z
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 7033
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:0-0
Timestamp: 2025-08-19T12:45:11.997Z
Learning: In tensorrt_llm/_torch/pyexecutor/model_engine.py, DoRA (Delta Orthogonal Rank Adaptation) functionality was removed from the PyTorch flow to eliminate issues with inverted DoRA detection logic. The original is_dora condition was checking if scaling_vec_pointer == 0, which was potentially incorrect.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-26T06:07:02.166Z
Learnt from: shaharmor98
Repo: NVIDIA/TensorRT-LLM PR: 7231
File: tensorrt_llm/_torch/pyexecutor/_util.py:504-509
Timestamp: 2025-08-26T06:07:02.166Z
Learning: In tensorrt_llm/_torch/pyexecutor/_util.py, when calling model_engine.set_lora_model_config(), pass model_binding_config.mlp_hidden_size directly without multiplying by mapping.tp_size, as the mlp_hidden_size from get_bindings_model_config() is already the per-TP rank value needed for LoRA weight packaging.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-14T15:38:01.771Z
Learnt from: MatthiasKohl
Repo: NVIDIA/TensorRT-LLM PR: 6904
File: cpp/tensorrt_llm/pybind/thop/bindings.cpp:55-57
Timestamp: 2025-08-14T15:38:01.771Z
Learning: In TensorRT-LLM Python bindings, tensor parameter collections like mla_tensor_params and spec_decoding_tensor_params are kept as required parameters without defaults to maintain API consistency, even when it might affect backward compatibility.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-26T09:37:10.463Z
Learnt from: jiaganc
Repo: NVIDIA/TensorRT-LLM PR: 7031
File: tensorrt_llm/bench/dataclasses/configuration.py:90-104
Timestamp: 2025-08-26T09:37:10.463Z
Learning: In TensorRT-LLM's bench configuration, the `get_pytorch_perf_config()` method returns `self.pytorch_config` which is a Dict[str, Any] that can contain default values including `cuda_graph_config`, making the fallback `llm_args["cuda_graph_config"]` safe to use.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
📚 Learning: 2025-08-01T15:14:45.673Z
Learnt from: yibinl-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 6506
File: examples/models/core/mixtral/requirements.txt:3-3
Timestamp: 2025-08-01T15:14:45.673Z
Learning: In TensorRT-LLM, examples directory can have different dependency versions than the root requirements.txt file. Version conflicts between root and examples dependencies are acceptable because examples are designed to be standalone and self-contained.

Applied to files:

  • tensorrt_llm/llmapi/llm.py
🧬 Code graph analysis (1)
tensorrt_llm/llmapi/llm.py (2)
tensorrt_llm/_torch/auto_deploy/custom_ops/attention_interface.py (1)
  • args (274-276)
tensorrt_llm/_torch/auto_deploy/shim/interface.py (1)
  • args (23-25)
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tensorrt_llm/llmapi/llm.py (1)

1011-1011: AI summary inconsistency detected.

The AI summary states: "Modified the executor creation in _TorchLLM._build_model to use a fully populated executor_config instead of None and pass additional parameters including batched_logits_processor, model_world_size, mpi_session..."

However, the annotated code shows no changes to the executor creation at lines 1013-1032 (no ~ markers). The only change is the addition of the logging line at line 1011.

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PR_Github #24383 [ run ] triggered by Bot. Commit: 1bd801c

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/bot run --disable-fail-fast

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/bot run --disable-fail-fast

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PR_Github #24386 [ run ] triggered by Bot. Commit: c4159bc

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PR_Github #24383 [ run ] completed with state ABORTED. Commit: 1bd801c
LLM/release-1.1/L0_MergeRequest_PR #477 (Blue Ocean) completed with status: ABORTED

@leslie-fang25 leslie-fang25 requested a review from QiJune November 13, 2025 04:05
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PR_Github #24387 [ run ] triggered by Bot. Commit: c4159bc

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PR_Github #24386 [ run ] completed with state ABORTED. Commit: c4159bc

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LGTM

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PR_Github #24387 [ run ] completed with state SUCCESS. Commit: c4159bc
/LLM/release-1.1/L0_MergeRequest_PR pipeline #479 completed with status: 'FAILURE'

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/bot run --disable-fail-fast

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PR_Github #24413 [ run ] triggered by Bot. Commit: c4159bc

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PR_Github #24413 [ run ] completed with state SUCCESS. Commit: c4159bc
/LLM/release-1.1/L0_MergeRequest_PR pipeline #481 completed with status: 'FAILURE'

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/bot run

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PR_Github #24521 [ run ] triggered by Bot. Commit: c4159bc

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PR_Github #24521 [ run ] completed with state SUCCESS. Commit: c4159bc
/LLM/release-1.1/L0_MergeRequest_PR pipeline #491 completed with status: 'SUCCESS'

@leslie-fang25 leslie-fang25 merged commit d43036e into NVIDIA:release/1.1 Nov 14, 2025
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Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 28, 2025
Signed-off-by: leslie-fang25 <leslief@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 28, 2025
Signed-off-by: leslie-fang25 <leslief@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 28, 2025
Signed-off-by: leslie-fang25 <leslief@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
dominicshanshan pushed a commit to dominicshanshan/TensorRT-LLM that referenced this pull request Nov 29, 2025
Signed-off-by: leslie-fang25 <leslief@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
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5 participants