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@leslie-fang25 leslie-fang25 commented Aug 5, 2025

Summary by CodeRabbit

  • Tests
    • Updated a test to automatically skip on devices with insufficient memory, preventing out-of-memory errors during test runs.

Description

Test case OOM in preCI with 80G H100. Check the device memory and skip the testing if necessary in this PR.

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python -u -m pytest -s -v  accuracy/test_llm_api_pytorch.py::TestQwen3_8B::test_eagle3

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coderabbitai bot commented Aug 5, 2025

📝 Walkthrough

Walkthrough

A pytest marker was added to the test_eagle3 method in the TestQwen3_8B class within the integration test file for LLM API PyTorch accuracy. This marker skips the test on devices with less than 140,000 MB of memory, addressing out-of-memory issues on certain GPUs.

Changes

Cohort / File(s) Change Summary
Integration Test: PyTorch LLM Accuracy
tests/integration/defs/accuracy/test_llm_api_pytorch.py
Added @pytest.mark.skip_less_device_memory(140000) marker to test_eagle3 in TestQwen3_8B to skip the test on devices with insufficient memory.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

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  • tests/integration/defs/accuracy/test_llm_api_pytorch.py (1 hunks)
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PR: NVIDIA/TensorRT-LLM#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.

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🔇 Additional comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)

1958-1961: Threshold looks overly conservative – verify whether 140 GB is really required

@pytest.mark.skip_less_device_memory(140000) will skip the test on every 80 GB, 96 GB and even 128 GB GPU. If the OOM only occurs on 80 GB H100, consider lowering the threshold (e.g. 90000100000) so the test still runs on 120 GB/128 GB parts such as H200 while still protecting CI on 80 GB cards. Please double-check the actual peak usage and adjust accordingly.

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@leslie-fang25
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/bot run

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PR_Github #14082 [ run ] triggered by Bot

@chzblych
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chzblych commented Aug 5, 2025

/bot skip --comment "Trivial change and unblock L0"

@liji-nv liji-nv enabled auto-merge (squash) August 5, 2025 06:10
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PR_Github #14092 [ skip ] triggered by Bot

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PR_Github #14082 [ run ] completed with state ABORTED

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PR_Github #14092 [ skip ] completed with state SUCCESS
Skipping testing for commit 40b412b

@liji-nv liji-nv merged commit 164acfa into NVIDIA:main Aug 5, 2025
6 checks passed
@leslie-fang25 leslie-fang25 changed the title [None][infra] Skip test_eagle3 test with device memory check [https://nvbugs/5436461][infra] Skip test_eagle3 test with device memory check Aug 5, 2025
lancelly pushed a commit to lancelly/TensorRT-LLM that referenced this pull request Aug 6, 2025
jain-ria pushed a commit to jain-ria/TensorRT-LLM that referenced this pull request Aug 7, 2025
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