[https://nvbugs/5769712][fix] fix timeout in AutoDeploy llama accuracy test #10461

lucaslie · 2026-01-06T16:06:30Z

Summary by CodeRabbit

Tests
- Updated model compilation backend configuration in deployment tests
- Re-enabled previously skipped test cases for automatic data type handling validation

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lucaslie · 2026-01-06T16:07:25Z

/bot run --add-multi-gpu-test

coderabbitai · 2026-01-06T16:08:24Z

📝 Walkthrough

Walkthrough

Configuration update to the Llama-3.1-8B test backend from "torch-opt" to "torch-cudagraph" and removal of SKIP markers for two associated test cases, enabling them to execute.

Changes

Cohort / File(s)	Summary
Test Configuration & Execution `tests/integration/defs/accuracy/test_llm_api_autodeploy.py`, `tests/integration/test_lists/waives.txt`	Updated compile backend from "torch-opt" to "torch-cudagraph" in test config; un-skipped two test\_auto\_dtype test cases by removing SKIP markers

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

🚥 Pre-merge checks | ✅ 1 | ❌ 2

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete—it contains only the repository template with checklist items but lacks actual implementation details, explanation of the issue/solution, and specific test coverage information in the Description and Test Coverage sections.	Fill in the Description section with details about the timeout issue and solution, and the Test Coverage section listing the tests being un-skipped (test_auto_dtype[False-2] and test_auto_dtype[False-4]) that safeguard these changes.
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and specifically identifies the fix (timeout issue in AutoDeploy llama accuracy test) with proper NVBugs ticket reference and [fix] type prefix, making it easy for reviewers to understand the main change.

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✨ Finishing touches

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📥 Commits

Reviewing files that changed from the base of the PR and between 1c69aad and ae4558e.

📒 Files selected for processing (2)

tests/integration/defs/accuracy/test_llm_api_autodeploy.py
tests/integration/test_lists/waives.txt

💤 Files with no reviewable changes (1)

tests/integration/test_lists/waives.txt

🧰 Additional context used

📓 Path-based instructions (2)

**/*.py

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Files:

tests/integration/defs/accuracy/test_llm_api_autodeploy.py

**/*.{cpp,cc,cxx,h,hpp,hxx,cu,cuh,py}

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All TensorRT-LLM source files (.cpp, .h, .cu, .py, and other source files) should contain an NVIDIA copyright header with the year of latest meaningful modification

Files:

tests/integration/defs/accuracy/test_llm_api_autodeploy.py

🧠 Learnings (5)

📓 Common learnings

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.

Learnt from: EmmaQiaoCh
Repo: NVIDIA/TensorRT-LLM PR: 7370
File: tests/unittest/trt/model_api/test_model_quantization.py:24-27
Timestamp: 2025-08-29T14:07:45.863Z
Learning: In TensorRT-LLM's CI infrastructure, pytest skip markers (pytest.mark.skip) are properly honored even when test files have __main__ blocks that call test functions directly. The testing system correctly skips tests without requiring modifications to the __main__ block execution pattern.

Learnt from: pengbowang-nv
Repo: NVIDIA/TensorRT-LLM PR: 7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").

📚 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:

tests/integration/defs/accuracy/test_llm_api_autodeploy.py

📚 Learning: 2025-10-20T16:54:09.824Z

Learnt from: nvchenghaoz
Repo: NVIDIA/TensorRT-LLM PR: 8469
File: tensorrt_llm/_torch/auto_deploy/custom_ops/rms_norm.py:6-6
Timestamp: 2025-10-20T16:54:09.824Z
Learning: In tensorrt_llm/_torch/auto_deploy/custom_ops/rms_norm.py, the import `from ...modules.mamba.layernorm_gated import _layer_norm_fwd` is correct and should not be changed to modules.fla.layernorm_gated. The _layer_norm_fwd function exists in both modules/mamba/layernorm_gated.py and modules/fla/layernorm_gated.py, but the mamba version is the intended implementation for this use case.

Applied to files:

tests/integration/defs/accuracy/test_llm_api_autodeploy.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:

tests/integration/defs/accuracy/test_llm_api_autodeploy.py

📚 Learning: 2025-09-04T07:33:10.618Z

Learnt from: MrGeva
Repo: NVIDIA/TensorRT-LLM PR: 7219
File: tensorrt_llm/_torch/auto_deploy/compile/backends/torch_cudagraph.py:162-168
Timestamp: 2025-09-04T07:33:10.618Z
Learning: When users explicitly provide cuda_graph_batch_sizes in TorchCudagraphCompiler, respect their choices and only sanitize the values (clamp, dedupe, sort) without forcing additional batch sizes like 1 or max_batch_size. Only add commonly-used batch sizes when falling back to the heuristic.

Applied to files:

tests/integration/defs/accuracy/test_llm_api_autodeploy.py

🔇 Additional comments (1)

tests/integration/defs/accuracy/test_llm_api_autodeploy.py (1)

62-62: Backend change is consistent with other test classes in the file and properly configured.

Switching to "torch-cudagraph" makes TestLlama3_1_8B consistent with TestNemotronH, TestNemotronMOE, and TestNemotronSuperV3, which all use the same backend. The cuda_graph_batch_sizes configuration is already in place and covers the appropriate range up to the max_batch_size of 512.

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tensorrt-cicd · 2026-01-06T16:13:11Z

PR_Github #30761 [ run ] triggered by Bot. Commit: bd4898f

tensorrt-cicd · 2026-01-06T22:56:51Z

PR_Github #30761 [ run ] completed with state SUCCESS. Commit: bd4898f
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lucaslie · 2026-01-07T02:16:30Z

/bot run --add-multi-gpu-test

tensorrt-cicd · 2026-01-07T02:21:58Z

PR_Github #30807 [ run ] triggered by Bot. Commit: bd4898f

tensorrt-cicd · 2026-01-07T07:09:42Z

PR_Github #30807 [ run ] completed with state SUCCESS. Commit: bd4898f
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lucaslie · 2026-01-07T14:47:40Z

/bot run --add-multi-gpu-test --disable-fail-fast

tensorrt-cicd · 2026-01-07T14:58:30Z

PR_Github #30907 [ run ] triggered by Bot. Commit: bd4898f

tensorrt-cicd · 2026-01-08T04:34:30Z

PR_Github #30907 [ run ] completed with state SUCCESS. Commit: bd4898f
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lucaslie · 2026-01-08T15:20:01Z

/bot run --add-multi-gpu-test --disable-fail-fast

lucaslie · 2026-01-08T15:20:26Z

/bot run --add-multi-gpu-test --disable-fail-fast

tensorrt-cicd · 2026-01-08T15:26:02Z

PR_Github #31084 [ run ] triggered by Bot. Commit: bd4898f

tensorrt-cicd · 2026-01-08T15:26:03Z

PR_Github #31084 [ run ] completed with state DISABLED
CI server is currently disabled for scheduled maintenance. Estimated completion time: 9 AM PST on 1/8.

lucaslie · 2026-01-08T19:20:23Z

/bot run --add-multi-gpu-test --disable-fail-fast

tensorrt-cicd · 2026-01-08T19:26:11Z

PR_Github #31112 [ run ] triggered by Bot. Commit: bd4898f

tensorrt-cicd · 2026-01-09T03:19:24Z

PR_Github #31112 [ run ] completed with state SUCCESS. Commit: bd4898f
/LLM/main/L0_MergeRequest_PR pipeline #24027 completed with status: 'FAILURE'

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…y test Signed-off-by: Lucas Liebenwein <[email protected]>

lucaslie · 2026-01-09T14:54:13Z

/bot run --add-multi-gpu-test --disable-fail-fast

tensorrt-cicd · 2026-01-09T14:59:51Z

PR_Github #31268 [ run ] triggered by Bot. Commit: ae4558e

tensorrt-cicd · 2026-01-09T23:18:24Z

PR_Github #31268 [ run ] completed with state SUCCESS. Commit: ae4558e
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lucaslie requested review from EmmaQiaoCh and greg-kwasniewski1 January 6, 2026 16:06

lucaslie self-assigned this Jan 6, 2026

lucaslie added this to AutoDeploy Board Jan 6, 2026

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lucaslie moved this from Backlog to In review in AutoDeploy Board Jan 6, 2026

lucaslie force-pushed the ll/nvbugs_5769712 branch from 6610e33 to bd4898f Compare January 6, 2026 16:07

suyoggupta approved these changes Jan 6, 2026

View reviewed changes

[https://nvbugs/5769712][fix] fix timeout in AutoDeploy llama accurac…

ae4558e

…y test Signed-off-by: Lucas Liebenwein <[email protected]>

lucaslie force-pushed the ll/nvbugs_5769712 branch from bd4898f to ae4558e Compare January 9, 2026 14:54

[https://nvbugs/5769712][fix] fix timeout in AutoDeploy llama accuracy test #10461

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[https://nvbugs/5769712][fix] fix timeout in AutoDeploy llama accuracy test #10461

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