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Add inline evaluation results for summary evaluators #726

Add inline evaluation results for summary evaluators

Add inline evaluation results for summary evaluators #726

Triggered via pull request December 24, 2024 16:42
Status Success
Total duration 4m 39s
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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 (101 ms) is 15% of the mean (688 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: 688 ms +- 101 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (230 ms) is 16% of the mean (1.45 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: 1.45 sec +- 0.23 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (179 ms) is 13% of the mean (1.36 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: 1.36 sec +- 0.18 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 691 us +- 7 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.2 ms +- 0.2 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 106 ms +- 3 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.5 ms +- 0.3 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (16.4 ms) is 23% of the mean (71.6 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: 71.6 ms +- 16.4 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 199 ms +- 2 ms
Comparison against main: python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 217 ms | 199 ms: 1.09x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 717 ms | 688 ms: 1.04x faster | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.40 sec | 1.36 sec: 1.03x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 691 us | 691 us: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.2 ms | 25.2 ms: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.5 ms: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 104 ms | 106 ms: 1.02x slower | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.38 sec | 1.45 sec: 1.05x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 66.1 ms | 71.6 ms: 1.08x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.00x faster | +-----------------------------------------------+----------+------------------------+