Skip to content

Add inline evaluation results for summary evaluators #721

Add inline evaluation results for summary evaluators

Add inline evaluation results for summary evaluators #721

Triggered via pull request December 23, 2024 23:46
Status Success
Total duration 4m 41s
Artifacts

py-bench.yml

on: pull_request
Fit to window
Zoom out
Zoom in

Annotations

1 warning and 2 notices
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 (85.7 ms) is 12% of the mean (703 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: 703 ms +- 86 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (167 ms) is 12% 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 +- 0.17 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (193 ms) is 14% of the mean (1.38 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: 1.38 sec +- 0.19 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 694 us +- 11 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.0 ms +- 0.2 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.4 ms +- 0.3 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (16.2 ms) is 22% of the mean (72.0 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: 72.0 ms +- 16.2 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 198 ms +- 3 ms
Comparison against main: python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 217 ms | 198 ms: 1.10x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 717 ms | 703 ms: 1.02x faster | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.40 sec | 1.38 sec: 1.02x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.2 ms | 25.0 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.4 ms: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 104 ms | 104 ms: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 691 us | 694 us: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.38 sec | 1.40 sec: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 66.1 ms | 72.0 ms: 1.09x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.00x faster | +-----------------------------------------------+----------+------------------------+