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Add inline evaluation results for summary evaluators #707

Add inline evaluation results for summary evaluators

Add inline evaluation results for summary evaluators #707

Triggered via pull request December 20, 2024 02:06
Status Success
Total duration 6m 57s
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py-bench.yml

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benchmark
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
Benchmark results: python/langsmith/evaluation/_arunner.py#L1
........... WARNING: the benchmark result may be unstable * the standard deviation (83.6 ms) is 12% of the mean (707 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. create_5_000_run_trees: Mean +- std dev: 707 ms +- 84 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (180 ms) is 13% of the mean (1.41 sec) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. create_10_000_run_trees: Mean +- std dev: 1.41 sec +- 0.18 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (172 ms) is 12% of the mean (1.41 sec) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. create_20_000_run_trees: Mean +- std dev: 1.41 sec +- 0.17 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 687 us +- 5 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 24.9 ms +- 0.2 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 3 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.3 ms +- 0.3 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (16.8 ms) is 23% of the mean (72.4 ms) Try to rerun the benchmark with more runs, values and/or loops. Run 'python -m pyperf system tune' command to reduce the system jitter. Use pyperf stats, pyperf dump and pyperf hist to analyze results. Use --quiet option to hide these warnings. dumps_pydantic_nested_50x100: Mean +- std dev: 72.4 ms +- 16.8 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 197 ms +- 3 ms
Comparison against main: python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 220 ms | 197 ms: 1.11x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 731 ms | 707 ms: 1.03x faster | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.3 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.1 ms | 24.9 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 690 us | 687 us: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 104 ms | 104 ms: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.41 sec | 1.41 sec: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.39 sec | 1.41 sec: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 65.9 ms | 72.4 ms: 1.10x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.01x faster | +-----------------------------------------------+----------+------------------------+