[None][test] Add tests for all database configs. - #11653
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…onfigs Signed-off-by: Venky <23023424+venkywonka@users.noreply.github.com>
Signed-off-by: Fadi Saady <fsaady@nvidia.com>
- Mock serve functions to make sure the curated configs for trtllm-serve. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
…nfigs Signed-off-by: Fadi Saady <fsaady@nvidia.com>
- Instead of converting load_format to Enum after dumping and loading, using the default mode='python' for model dump. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
- Using same tests for curated/ and database/ configs. - Removed tests for hardcoded deprecated keys since it will be covered in test_database_yaml_config_validates_against_llm_args. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
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- This is cleaner. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
…ase.py - Added lookup.yaml for curated configs. - Added optional arch field in lookup to get model defaults for specific model archs. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
… fsaady/fix-curated-configs Signed-off-by: Fadi Saady <fsaady@nvidia.com>
…ig_database. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
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…nfigs Signed-off-by: Fadi Saady <fsaady@nvidia.com>
…aml. - TODO: check that all entries have an arch field in unit tests. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
- Added a unit test in tests/unittest/llmapi/test_config_database.py. - Fixed kimi k2 curated config. Signed-off-by: Fadi Saady <fsaady@nvidia.com>
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Signed-off-by: Fadi Saady <fsaady@nvidia.com>
… fsaady/fix-curated-configs Signed-off-by: Fadi Saady <fsaady@nvidia.com>
Signed-off-by: Fadi Saady <fsaady@nvidia.com>
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…phaned high-conc configs Align with PR NVIDIA#11653's CI enforcement (test_database_yaml_config_does_not_set_default_leaves): - Add prune_default_leaves() to pull_sa_configs.py: removes config leaves matching TorchLlmArgs defaults (e.g., backend: pytorch, enable_attention_dp: false) - Add load_defaults_snapshot() with cached JSON + auto-refresh when tensorrt_llm is importable - Add HF_MODEL_TO_ARCH mapping; populate arch field in lookup.yaml entries - Remove hardcoded backend: pytorch and conditional enable_attention_dp: false - Delete 30 orphaned configs exceeding max-concurrency 2048 - Re-pull all configs with pruning enabled, regenerate artifacts - All 1299 test_config_database tests pass Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
…phaned high-conc configs Align with PR NVIDIA#11653's CI enforcement (test_database_yaml_config_does_not_set_default_leaves): - Add prune_default_leaves() to pull_sa_configs.py: removes config leaves matching TorchLlmArgs defaults (e.g., backend: pytorch, enable_attention_dp: false) - Add load_defaults_snapshot() with cached JSON + auto-refresh when tensorrt_llm is importable - Add HF_MODEL_TO_ARCH mapping; populate arch field in lookup.yaml entries - Remove hardcoded backend: pytorch and conditional enable_attention_dp: false - Delete 30 orphaned configs exceeding max-concurrency 2048 - Re-pull all configs with pruning enabled, regenerate artifacts - All 1299 test_config_database tests pass Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
Signed-off-by: Venky <23023424+venkywonka@users.noreply.github.com> Signed-off-by: Fadi Saady <fsaady@nvidia.com> Co-authored-by: Venky <23023424+venkywonka@users.noreply.github.com>
Signed-off-by: Venky <23023424+venkywonka@users.noreply.github.com> Signed-off-by: Fadi Saady <fsaady@nvidia.com> Co-authored-by: Venky <23023424+venkywonka@users.noreply.github.com>
@coderabbitai summary
Description
Configs under examples/configs/curated/ were not tested. Added them to tests/unittest/llmapi/test_config_database.py and added new tests for better coverage:
Test Coverage
Extended tests/unittest/llmapi/test_config_database.py to include the tests described in the description and to include both configs under examples/configs/curated/ and examples/configs/database/.
PR Checklist
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)
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CODEOWNERS updated if ownership changes
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Please check this after reviewing the above items as appropriate for this PR.
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