[None][fix] update skip case #7193
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📝 WalkthroughWalkthroughIncreased GPU-memory skip thresholds for some SM120 2-GPU tests and added/updated memory-based skip markers on an EXAONE-4.0-32B accuracy test. Swapped an Eagle3 TP8 QA test variant flag from false to true. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
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Actionable comments posted: 1
🧹 Nitpick comments (1)
tests/integration/defs/test_e2e.py (1)
2187-2190: Param-specific 190000 memory gate: document why it’s higher than the function-level 160000The stricter gate for
'Llama3.1-70B-BF16'makes sense if that variant needs more than 2×80G (e.g., model+KV settings or build options). Please add a one-line rationale so future maintainers don’t “normalize” it back down by mistake.Example:
- pytest.param('Llama3.1-70B-BF16', - 'llama-3.1-model/Meta-Llama-3.1-70B', - marks=pytest.mark.skip_less_device_memory(190000)), + # Needs ~190G total across 2 GPUs due to BF16 + config (higher than baseline 160G) + pytest.param('Llama3.1-70B-BF16', + 'llama-3.1-model/Meta-Llama-3.1-70B', + marks=pytest.mark.skip_less_device_memory(190000)),If the marker proves to be per-GPU, convert 190000 accordingly (e.g., keep 80000 globally and move the larger requirement to a more precise gating mechanism), or justify the larger per-GPU need in a comment.
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tests/integration/defs/accuracy/test_llm_api_pytorch.py(1 hunks)tests/integration/defs/test_e2e.py(1 hunks)tests/integration/test_lists/qa/llm_function_full.txt(0 hunks)
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- tests/integration/test_lists/qa/llm_function_full.txt
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**/*.py
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tests/integration/defs/accuracy/test_llm_api_pytorch.pytests/integration/defs/test_e2e.py
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tests/integration/defs/accuracy/test_llm_api_pytorch.pytests/integration/defs/test_e2e.py
🧠 Learnings (1)
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
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.
Applied to files:
tests/integration/defs/test_e2e.py
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🔇 Additional comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)
2411-2411: EXAONE-4.0-32B: added memory gate looks reasonable; confirm threshold intentAdding
@pytest.mark.skip_less_device_memory(80000)aligns with the rest of the suite for 80G-class GPUs. If this test is expected to run on 80G cards only (single GPU path), this is correct. If it actually needs 2×80G total due to model size or configs, consider documenting that explicitly or adjusting the threshold accordingly for clarity.Would you like me to scan the repo for historical thresholds used with EXAONE to ensure consistency across files?
Signed-off-by: Ivy Zhang <[email protected]>
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/bot run --skip-test |
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PR_Github #16418 [ run ] triggered by Bot |
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PR_Github #16418 [ run ] completed with state |
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/bot reuse-pipeline |
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PR_Github #16518 [ reuse-pipeline ] triggered by Bot |
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PR_Github #16518 [ reuse-pipeline ] completed with state |
Signed-off-by: Ivy Zhang <[email protected]> Co-authored-by: Larry <[email protected]>
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Description
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/bot [-h] ['run', 'kill', 'skip', 'reuse-pipeline'] ...Provide a user friendly way for developers to interact with a Jenkins server.
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run [--reuse-test (optional)pipeline-id --disable-fail-fast --skip-test --stage-list "A10-PyTorch-1, xxx" --gpu-type "A30, H100_PCIe" --test-backend "pytorch, cpp" --add-multi-gpu-test --only-multi-gpu-test --disable-multi-gpu-test --post-merge --extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx" --detailed-log --debug(experimental)]Launch build/test pipelines. All previously running jobs will be killed.
--reuse-test (optional)pipeline-id(OPTIONAL) : Allow the new pipeline to reuse build artifacts and skip successful test stages from a specified pipeline or the last pipeline if no pipeline-id is indicated. If the Git commit ID has changed, this option will be always ignored. The DEFAULT behavior of the bot is to reuse build artifacts and successful test results from the last pipeline.--disable-reuse-test(OPTIONAL) : Explicitly prevent the pipeline from reusing build artifacts and skipping successful test stages from a previous pipeline. Ensure that all builds and tests are run regardless of previous successes.--disable-fail-fast(OPTIONAL) : Disable fail fast on build/tests/infra failures.--skip-test(OPTIONAL) : Skip all test stages, but still run build stages, package stages and sanity check stages. Note: Does NOT update GitHub check status.--stage-list "A10-PyTorch-1, xxx"(OPTIONAL) : Only run the specified test stages. Examples: "A10-PyTorch-1, xxx". Note: Does NOT update GitHub check status.--gpu-type "A30, H100_PCIe"(OPTIONAL) : Only run the test stages on the specified GPU types. Examples: "A30, H100_PCIe". Note: Does NOT update GitHub check status.--test-backend "pytorch, cpp"(OPTIONAL) : Skip test stages which don't match the specified backends. Only support [pytorch, cpp, tensorrt, triton]. Examples: "pytorch, cpp" (does not run test stages with tensorrt or triton backend). Note: Does NOT update GitHub pipeline status.--only-multi-gpu-test(OPTIONAL) : Only run the multi-GPU tests. Note: Does NOT update GitHub check status.--disable-multi-gpu-test(OPTIONAL) : Disable the multi-GPU tests. Note: Does NOT update GitHub check status.--add-multi-gpu-test(OPTIONAL) : Force run the multi-GPU tests in addition to running L0 pre-merge pipeline.--post-merge(OPTIONAL) : Run the L0 post-merge pipeline instead of the ordinary L0 pre-merge pipeline.--extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx"(OPTIONAL) : Run the ordinary L0 pre-merge pipeline and specified test stages. Examples: --extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx".--detailed-log(OPTIONAL) : Enable flushing out all logs to the Jenkins console. This will significantly increase the log volume and may slow down the job.--debug(OPTIONAL) : Experimental feature. Enable access to the CI container for debugging purpose. Note: Specify exactly one stage in thestage-listparameter to access the appropriate container environment. Note: Does NOT update GitHub check status.For guidance on mapping tests to stage names, see
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