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Add inline evaluation results for summary evaluators #725

Add inline evaluation results for summary evaluators

Add inline evaluation results for summary evaluators #725

Triggered via pull request December 24, 2024 00:47
Status Success
Total duration 4m 50s
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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 (111 ms) is 16% of the mean (700 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: 700 ms +- 111 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (202 ms) is 14% of the mean (1.40 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: 1.40 sec +- 0.20 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (199 ms) is 14% 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_20_000_run_trees: Mean +- std dev: 1.45 sec +- 0.20 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 691 us +- 11 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 +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.2 ms +- 0.2 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (15.5 ms) is 22% of the mean (70.3 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: 70.3 ms +- 15.5 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 194 ms +- 3 ms
Comparison against main: python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 217 ms | 194 ms: 1.12x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 717 ms | 700 ms: 1.02x faster | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.2 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.2 ms | 24.9 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 104 ms | 104 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 691 us | 691 us: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.38 sec | 1.40 sec: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.40 sec | 1.45 sec: 1.03x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 66.1 ms | 70.3 ms: 1.06x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.01x faster | +-----------------------------------------------+----------+------------------------+