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add attachments to evaluate #592

add attachments to evaluate

add attachments to evaluate #592

Triggered via pull request December 9, 2024 22:22
Status Success
Total duration 4m 42s
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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 (103 ms) is 15% of the mean (683 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: 683 ms +- 103 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (181 ms) is 13% of the mean (1.39 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: 1.39 sec +- 0.18 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (171 ms) is 12% of the mean (1.39 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: 1.39 sec +- 0.17 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 709 us +- 40 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.1 ms +- 0.2 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 105 ms +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 26.1 ms +- 1.5 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (15.3 ms) is 21% of the mean (72.3 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: 72.3 ms +- 15.3 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 | 221 ms | 199 ms: 1.11x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 724 ms | 683 ms: 1.06x faster | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.40 sec | 1.39 sec: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.1 ms | 25.1 ms: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.39 sec | 1.39 sec: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 105 ms | 105 ms: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 709 us: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.6 ms | 26.1 ms: 1.02x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 66.2 ms | 72.3 ms: 1.09x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.01x faster | +-----------------------------------------------+----------+------------------------+