add attachments to evaluate #601
isahers1Annotations
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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
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Benchmark results:
python/langsmith/evaluation/_arunner.py#L1
...........
WARNING: the benchmark result may be unstable
* the standard deviation (95.8 ms) is 13% of the mean (737 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: 737 ms +- 96 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (185 ms) is 13% of the mean (1.43 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: 1.43 sec +- 0.18 sec
...........
WARNING: the benchmark result may be unstable
* the standard deviation (150 ms) is 11% of the mean (1.36 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: 1.36 sec +- 0.15 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 712 us +- 13 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 24.9 ms +- 0.2 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 25.3 ms +- 0.1 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (16.5 ms) is 22% of the mean (73.3 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: 73.3 ms +- 16.5 ms
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dumps_pydanticv1_nested_50x100: Mean +- std dev: 200 ms +- 12 ms
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Comparison against main:
python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+
| Benchmark | main | changes |
+===============================================+==========+========================+
| dumps_pydanticv1_nested_50x100 | 221 ms | 200 ms: 1.10x faster |
+-----------------------------------------------+----------+------------------------+
| create_20_000_run_trees | 1.39 sec | 1.36 sec: 1.03x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_dataclass_nested_50x100 | 25.6 ms | 25.3 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 25.1 ms | 24.9 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_100x200 | 105 ms | 104 ms: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 712 us: 1.01x slower |
+-----------------------------------------------+----------+------------------------+
| create_5_000_run_trees | 724 ms | 737 ms: 1.02x slower |
+-----------------------------------------------+----------+------------------------+
| create_10_000_run_trees | 1.40 sec | 1.43 sec: 1.02x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_pydantic_nested_50x100 | 66.2 ms | 73.3 ms: 1.11x slower |
+-----------------------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.00x faster |
+-----------------------------------------------+----------+------------------------+
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