add ability to run experiments in parallel with different hyper params #125
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1 warning and 2 notices
The following actions use a deprecated Node.js version and will be forced to run on node20: actions/cache@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
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Annotation:
python/langsmith/evaluation/_arunner.py#L1
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create_5_000_run_trees: Mean +- std dev: 565 ms +- 41 ms
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create_10_000_run_trees: Mean +- std dev: 1.14 sec +- 0.05 sec
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create_20_000_run_trees: Mean +- std dev: 1.11 sec +- 0.06 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 778 us +- 24 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.2 ms +- 0.2 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 112 ms +- 2 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 27.6 ms +- 0.5 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (6.44 ms) is 11% of the mean (57.3 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: 57.3 ms +- 6.4 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (29.0 ms) is 14% of the mean (210 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_pydanticv1_nested_50x100: Mean +- std dev: 210 ms +- 29 ms
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Annotation:
python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+---------+-----------------------+
| Benchmark | main | changes |
+===============================================+=========+=======================+
| dumps_class_nested_py_leaf_100x200 | 111 ms | 112 ms: 1.01x slower |
+-----------------------------------------------+---------+-----------------------+
| dumps_class_nested_py_leaf_50x100 | 26.8 ms | 27.2 ms: 1.02x slower |
+-----------------------------------------------+---------+-----------------------+
| dumps_dataclass_nested_50x100 | 27.1 ms | 27.6 ms: 1.02x slower |
+-----------------------------------------------+---------+-----------------------+
| dumps_class_nested_py_branch_and_leaf_200x400 | 763 us | 778 us: 1.02x slower |
+-----------------------------------------------+---------+-----------------------+
| Geometric mean | (ref) | 1.01x slower |
+-----------------------------------------------+---------+-----------------------+
Benchmark hidden because not significant (5): dumps_pydanticv1_nested_50x100, dumps_pydantic_nested_50x100, create_5_000_run_trees, create_20_000_run_trees, create_10_000_run_trees
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