[None][chore] AutoDeploy: clean up accuracy test configs

[lucaslie]

Summary by CodeRabbit

• Tests
  • Parameterized AutoDeploy LLM accuracy test to run across multiple deployment scales.
  • Updated test matrix to target specific configurations on H100/H200 and exclude certain DGX B200 runs for relevance.
  • Added/updated pre- and post-merge entries for PyTorch and TensorRT variants to validate scalability.
  • Improves coverage and reliability across heterogeneous environments without impacting runtime features.

Description

Test Coverage

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[lucaslie]

/bot run

[coderabbitai]

📝 Walkthrough

Walkthrough

Parameterizes TestLlama3_1_8B.test_auto_dtype over world_size values [1, 2, 4] and passes world_size into AutoDeployLLM. Updates multiple test list YAMLs to reference specific parameterized variants, adding, changing, or removing entries per environment.

Changes

Cohort / File(s)	Summary of Changes
Parametrized test implementation tests/integration/defs/accuracy/test_llm_api_autodeploy.py	Converted test_auto_dtype to pytest-parametrized over world_size=[1,2,4]; test signature updated to include world_size; AutoDeployLLM called with world_size argument.
Test selection configs tests/integration/test_lists/test-db/l0_b200.yml, tests/integration/test_lists/test-db/l0_dgx_b200.yml, tests/integration/test_lists/test-db/l0_dgx_h100.yml, tests/integration/test_lists/test-db/l0_dgx_h200.yml, tests/integration/test_lists/test-db/l0_h100.yml	Adjusted test entries to select specific parameterized variants: added [1] in l0_b200 and l0_h100; removed generic and one DGX b200 entry; set [2] in l0_dgx_h100; set [4] for PyTorch and TRT in l0_dgx_h200.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor Dev as PyTest Runner
  participant T as test_auto_dtype (parametrized)
  participant LLM as AutoDeployLLM

  Dev->>T: Discover test_auto_dtype[1], [2], [4]
  rect rgba(230,240,255,0.6)
    note right of Dev: Iteration 1
    Dev->>T: Execute with world_size=1
    T->>LLM: Initialize(world_size=1)
    LLM-->>T: Deployment initialized
  end
  rect rgba(230,240,255,0.6)
    note right of Dev: Iteration 2
    Dev->>T: Execute with world_size=2
    T->>LLM: Initialize(world_size=2)
    LLM-->>T: Deployment initialized
  end
  rect rgba(230,240,255,0.6)
    note right of Dev: Iteration 3
    Dev->>T: Execute with world_size=4
    T->>LLM: Initialize(world_size=4)
    LLM-->>T: Deployment initialized
  end
  T-->>Dev: Report results per parameter

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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Description Check	⚠️ Warning	The PR description only contains the template placeholders and guidance but does not include any actual content in the Description or Test Coverage sections. It fails to explain the issue, the solution, or list relevant tests. As such, it does not satisfy the required template structure or provide the information needed for review.	Please fill in the Description section with a concise explanation of the changes and their rationale, and complete the Test Coverage section with the relevant test cases to ensure the PR description is informative and adheres to the repository’s template.
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✅ Passed checks (1 passed)

Check name	Status	Explanation
Title Check	✅ Passed	The title “[None][chore] AutoDeploy: clean up accuracy test configs” correctly follows the repository’s ticket-and-type convention and concisely describes the primary change of cleaning up AutoDeploy accuracy test configurations. It aligns with the updates to test parameterization and test list entries. It is clear and specific enough for a reviewer to understand the main intent.

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📥 Commits

Reviewing files that changed from the base of the PR and between 7bc2d9e and d7eee0c.

📒 Files selected for processing (6)

• tests/integration/defs/accuracy/test_llm_api_autodeploy.py (1 hunks)
• tests/integration/test_lists/test-db/l0_b200.yml (1 hunks)
• tests/integration/test_lists/test-db/l0_dgx_b200.yml (0 hunks)
• tests/integration/test_lists/test-db/l0_dgx_h100.yml (1 hunks)
• tests/integration/test_lists/test-db/l0_dgx_h200.yml (1 hunks)
• tests/integration/test_lists/test-db/l0_h100.yml (1 hunks)

💤 Files with no reviewable changes (1)

• tests/integration/test_lists/test-db/l0_dgx_b200.yml

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• tests/integration/defs/accuracy/test_llm_api_autodeploy.py

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

tensorrt_llm/_torch/auto_deploy/models/factory.py (2)

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• tokenizer (59-61)

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🔇 Additional comments (5)

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

69-80: LGTM! Parametrization enables multi-scale testing.

The addition of @pytest.mark.parametrize("world_size", [1, 2, 4]) and passing world_size=world_size to AutoDeployLLM is a clean approach to test the AutoDeploy functionality at multiple deployment scales (single-GPU, 2-GPU, and 4-GPU). The changes are minimal, focused, and properly integrated with the test harness.

tests/integration/test_lists/test-db/l0_dgx_h100.yml (1)

43-43: LGTM! Parameterized test variant aligns with hardware.

The update to test_auto_dtype[2] is appropriate for the DGX H100 configuration, which has 2 GPUs available (as specified in the condition ranges). This ensures the test runs with world_size=2, matching the hardware constraints.

tests/integration/test_lists/test-db/l0_b200.yml (1)

76-77: LGTM! Single-GPU variant added for B200.

The addition of test_auto_dtype[1] is appropriate for the B200 configuration, which has 1 GPU available (as specified in the condition ranges). The section header comment improves readability.

tests/integration/test_lists/test-db/l0_h100.yml (1)

116-116: LGTM! Parameterized test variant aligns with hardware.

The update to test_auto_dtype[1] is appropriate for the H100 configuration, which has 1 GPU available (as specified in the condition ranges). This ensures the test runs with world_size=1, matching the hardware constraints.

tests/integration/test_lists/test-db/l0_dgx_h200.yml (1)

122-123: LGTM! 4-GPU variant added for DGX H200.

The addition of test_auto_dtype[4] is appropriate for the DGX H200 configuration, which has 4 GPUs available (as specified in the condition ranges). This ensures the test runs with world_size=4, enabling testing at a larger scale. The section header comment improves organization.

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[tensorrt-cicd]

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