test:[nvbug 5415268] add kv_cache_free_gpu_mem_fraction param and llama4 rcca cases #6430
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📝 WalkthroughWalkthroughA new floating-point parameter, Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~15 minutes Suggested reviewers
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tests/integration/defs/perf/test_perf.py(5 hunks)tests/integration/test_lists/qa/trt_llm_release_perf_test.yml(1 hunks)
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📓 Common learnings
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.
tests/integration/test_lists/qa/trt_llm_release_perf_test.yml (1)
Learnt from: moraxu
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.
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- GitHub Check: Pre-commit Check
🔇 Additional comments (5)
tests/integration/defs/perf/test_perf.py (5)
378-378: LGTM! Parameter addition follows proper conventions.The new
kv_cache_free_gpu_mem_fractionparameter is properly typed with a reasonable default value of 0.9 (90% of free GPU memory).
432-433: LGTM! Instance variable assignment follows established pattern.The comment and assignment are consistent with the existing code style and properly store the parameter value.
547-550: LGTM! String representation follows established pattern.The conditional inclusion logic is consistent with other optional parameters, using appropriate label abbreviation and only including non-default values.
658-662: LGTM! Parsing logic correctly implements parameter extraction.The parsing follows the established pattern for optional parameters, with proper type conversion and appropriate default value handling.
1013-1015: LGTM! Command integration properly includes the new parameter.The parameter is correctly added to the trtllm-bench build command with clear naming and proper formatting.
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Signed-off-by: ruodil <[email protected]>
…ma4 rcca cases (NVIDIA#6430) Signed-off-by: ruodil <[email protected]> Signed-off-by: Lanyu Liao <[email protected]>
Summary by CodeRabbit
Summary by CodeRabbit
add rcca cases for 5415268
New Features
Tests
Description
Test Coverage
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