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add ability to run experiments in parallel with different hyper params #123

add ability to run experiments in parallel with different hyper params

add ability to run experiments in parallel with different hyper params #123

Triggered via pull request October 28, 2024 16:58
Status Success
Total duration 18m 41s
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py-bench.yml

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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/
Benchmark results: python/Makefile#L1
......................................... create_5_000_run_trees: Mean +- std dev: 564 ms +- 42 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.11 sec +- 0.05 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.11 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 763 us +- 11 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 26.9 ms +- 0.3 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 111 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.2 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (6.91 ms) is 12% of the mean (58.1 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: 58.1 ms +- 6.9 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (30.6 ms) is 14% of the mean (216 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: 216 ms +- 31 ms
Comparison against main: python/Makefile#L1
+-----------------------------------+----------+------------------------+ | Benchmark | main | changes | +===================================+==========+========================+ | create_10_000_run_trees | 1.13 sec | 1.11 sec: 1.01x faster | +-----------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 26.8 ms | 26.9 ms: 1.00x slower | +-----------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.00x slower | +-----------------------------------+----------+------------------------+ Benchmark hidden because not significant (7): create_5_000_run_trees, create_20_000_run_trees, dumps_class_nested_py_branch_and_leaf_200x400, dumps_dataclass_nested_50x100, dumps_class_nested_py_leaf_100x200, dumps_pydantic_nested_50x100, dumps_pydanticv1_nested_50x100