[None][test] auto reuse torch empty cache on qa test #7421
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📝 WalkthroughWalkthroughAutouse is enabled for the torch_empty_cache fixture in tests/integration/defs/conftest.py, causing it to run before each test automatically. The explicit @pytest.mark.usefixtures("torch_empty_cache") decorator is removed from a test in tests/integration/defs/disaggregated/test_disaggregated_single_gpu.py. No other logic changes. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Pytest Runner as Pytest Runner
participant Autouse Fixture as torch_empty_cache (autouse)
participant Test as test_disaggregated_spec_dec_batch_slot_limit
Pytest Runner->>Autouse Fixture: Setup (before each test)
Note right of Autouse Fixture: Empty CUDA cache if available
Autouse Fixture-->>Pytest Runner: Teardown/return
Pytest Runner->>Test: Execute test
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🧰 Additional context used📓 Path-based instructions (2)**/*.{cpp,cc,cxx,cu,h,hpp,hh,hxx,cuh,py}📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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**/*.py📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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PR_Github #17162 [ run ] triggered by Bot |
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PR_Github #17162 [ run ] completed with state |
Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
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PR_Github #17286 [ run ] triggered by Bot |
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Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
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Please check this after reviewing the above items as appropriate for this PR.
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