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[None][fix] Fix TRT-python multi LoRA TP=2 test arguments by amitz-nv · Pull Request #8059 · NVIDIA/TensorRT-LLM · GitHub
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@amitz-nv amitz-nv commented Sep 29, 2025

Description

Fixed the multi LoRA TP=2 test on TRT-python flow at tests/unittest/llmapi/test_llm_multi_gpu.py::test_llama_7b_multi_lora_tp2 by:

  • Added the crucial tensor_parallel_size=2 argument .
  • Added lora_config argument as it should be passed as an LLM argument.

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Summary by CodeRabbit

  • Tests
    • Enhanced multi-GPU validation by passing explicit LoRA settings and a tensor-parallel size of 2 to the test harness.
    • Aligns runtime test configuration with build settings to reduce ambiguity and improve consistency.
    • Improves reliability and clarity of multi-GPU test runs; no changes to product behavior or public interfaces.

…oRA test

Signed-off-by: Amit Zuker <203509407+amitz-nv@users.noreply.github.com>
@amitz-nv amitz-nv self-assigned this Sep 29, 2025
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📝 Walkthrough

Walkthrough

Updated a test in tests/unittest/llmapi/test_llm_multi_gpu.py to pass lora_config and tensor_parallel_size=2 directly to the test harness in addition to BuildConfig(lora_config=...).

Changes

Cohort / File(s) Summary of Changes
Test harness invocation adjustments
tests/unittest/llmapi/test_llm_multi_gpu.py
Modified test_llama_7b_multi_lora_tp2 invocation to include lora_config and tensor_parallel_size=2 as top-level kwargs alongside BuildConfig(lora_config=...).

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

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❌ Failed checks (2 warnings)
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.
Description Check ⚠️ Warning The pull request description omits the required summary or title header as defined by the repository’s template and leaves the ## Test Coverage section empty, so it does not fully adhere to the mandated structure. Please add a properly formatted PR title or @coderabbitai summary at the top according to the template and populate the ## Test Coverage section with the specific tests that verify the new tensor_parallel_size and lora_config arguments.
✅ Passed checks (1 passed)
Check name Status Explanation
Title Check ✅ Passed The title “[None][fix] Fix TRT-python multi LoRA TP=2 test arguments” succinctly captures the primary change of the pull request, which is adding the missing lora_config and tensor_parallel_size arguments to the TRT-python multi-LoRA TP=2 test, and it follows the required [None][fix] format without extraneous details.
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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/unittest/llmapi/test_llm_multi_gpu.py (1)

1-1: Missing NVIDIA Apache-2.0 header (2025).

Per guidelines, prepend the standard NVIDIA Apache-2.0 header to this Python file. Can be a follow-up to keep this PR focused. (As per coding guidelines)

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Reviewing files that changed from the base of the PR and between b2095aa and 762b79e.

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  • tests/unittest/llmapi/test_llm_multi_gpu.py (1 hunks)
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**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}

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Files:

  • tests/unittest/llmapi/test_llm_multi_gpu.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}

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🧠 Learnings (2)
📓 Common learnings
Learnt from: shaharmor98
PR: NVIDIA/TensorRT-LLM#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: 2025-08-26T06:07:02.166Z
Learnt from: shaharmor98
PR: NVIDIA/TensorRT-LLM#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:

  • tests/unittest/llmapi/test_llm_multi_gpu.py
🧬 Code graph analysis (1)
tests/unittest/llmapi/test_llm_multi_gpu.py (1)
tensorrt_llm/_torch/models/modeling_phi4mm.py (1)
  • lora_config (1082-1100)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Pre-commit Check
🔇 Additional comments (1)
tests/unittest/llmapi/test_llm_multi_gpu.py (1)

276-283: Harness correctly forwards LoRA and TP args
Verified that check_llama_7b_multi_lora_from_request_test_harness calls llm_class(hf_model_dir, **llm_kwargs) at line 109, ensuring both lora_config and tensor_parallel_size are passed through to the LLM constructor as intended.

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PR_Github #20254 [ run ] triggered by Bot

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LGTM

@amitz-nv amitz-nv enabled auto-merge (squash) September 29, 2025 15:35
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PR_Github #20254 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15271 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@amitz-nv amitz-nv merged commit e5f9b6a into NVIDIA:main Sep 29, 2025
10 of 11 checks passed
amitz-nv added a commit to amitz-nv/TensorRT-LLM that referenced this pull request Oct 13, 2025
Signed-off-by: Amit Zuker <203509407+amitz-nv@users.noreply.github.com>
@amitz-nv amitz-nv mentioned this pull request Oct 13, 2025
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3 participants