[https://nvbugs/5598674][fix] enable partial reuse in gemma and gpt oss test

[chuangz0]

Summary by CodeRabbit

• Tests
  • Updated test execution to target Blackwell hardware compatibility instead of Hopper
  • Modified cache configuration behavior to dynamically align with block reuse parameter settings
  • Re-enabled two previously skipped test cases related to automatic dtype handling

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[chuangz0]

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

[coderabbitai]

📝 Walkthrough

Walkthrough

These changes update test configurations for disaggregated serving tests. The first file modifies test parameters to align enable_partial_reuse with block_reuse and updates skip conditions from pre-Hopper to pre-Blackwell GPU architectures. The second file removes skip directives, enabling two previously skipped test variants to run.

Changes

Cohort / File(s)	Summary
Test Configuration Updates tests/integration/defs/accuracy/test_disaggregated_serving.py	Modified enable_partial_reuse parameter to mirror block_reuse value instead of forcing False; updated skip decorator from skip_pre_hopper to skip_pre_blackwell in two test blocks affecting GPU architecture preconditions
Test Skip List Updates tests/integration/test_lists/waives.txt	Removed two SKIP entries for test_auto_dtype[True] and test_auto_dtype[False], enabling these test variants to run

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

🚥 Pre-merge checks | ✅ 1 | ❌ 2

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete. The Description, Test Coverage, and implementation details sections remain empty, containing only template comments without substantive content explaining the changes or their impact.	Provide a clear explanation of the issue being fixed, the solution implemented, and list relevant tests that validate these changes. Remove the CodeRabbit placeholder and fill in actual details.
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 PR title clearly and specifically describes the main change: enabling partial reuse in Gemma and GPT OSS tests, with proper format including NVBugs reference and fix type.

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✨ Finishing touches

• 📝 Generate docstrings

---

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📥 Commits

Reviewing files that changed from the base of the PR and between 56e779d and 0510c1e.

📒 Files selected for processing (2)

• tests/integration/defs/accuracy/test_disaggregated_serving.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_disaggregated_serving.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_disaggregated_serving.py

🧠 Learnings (2)

📓 Common learnings

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: 2025-08-29T14:07:45.863Z

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.

Applied to files:

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

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• GitHub Check: Pre-commit Check

🔇 Additional comments (3)

tests/integration/defs/accuracy/test_disaggregated_serving.py (3)

1039-1039: LGTM! Logical pairing of enable_partial_reuse with block_reuse.

The change to set enable_partial_reuse equal to block_reuse (instead of hardcoding it to False) is consistent across both context and generation server configs. This allows the test to verify partial reuse behavior when block reuse is enabled, which aligns with the PR objective.

Also applies to: 1044-1044

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1068-1068: Verify the GPU architecture requirement change.

The decorator changed from @skip_pre_hopper to @skip_pre_blackwell, which restricts this test class to run only on Blackwell or newer GPUs (previously Hopper+). Please confirm this is the intended behavior and that the partial reuse feature with GPT-OSS configurations specifically requires Blackwell architecture.

---

1101-1101: LGTM! Consistent pairing of enable_partial_reuse with block_reuse.

The change mirrors the TestGemma3_1BInstruct pattern, setting enable_partial_reuse to match block_reuse in both server configs. This enables testing of partial reuse functionality for the GPT-OSS model when block reuse is enabled.

Also applies to: 1107-1107

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[tensorrt-cicd]

PR_Github #31160 [ run ] triggered by Bot. Commit: 0510c1e

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PR_Github #31160 [ run ] completed with state SUCCESS. Commit: 0510c1e
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