История

Karla Saur eaac74faa8 Adding hash to save/load (#713 ) * Revert "Update setup.py (#705)" This reverts commit `33b5fba5b9`. * adding hash feature to save load * removing unused imports * Revert "Revert "Update setup.py (#705)"" This reverts commit `4c7228c5e2`. * cleanup * docstrings		2023-06-20 17:43:26 -07:00
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operators	Adding hash to save/load (#713 )	2023-06-20 17:43:26 -07:00
pipelines	chore: update deprecated calls (#655 )	2022-11-25 14:52:09 -08:00
trees	fix few bugs due to versioning in benchmarks (#542 )	2021-09-23 09:46:17 -07:00
README.md	Add pipeline benchmark (#331 )	2020-10-27 09:35:31 -07:00
__init__.py	Add benchmark scripts for trees (#328 )	2020-10-22 15:06:13 -07:00
datasets.py	not using os.sys call (#673 )	2023-01-10 22:40:00 +01:00
timer.py	Add benchmark scripts for trees (#328 )	2020-10-22 15:06:13 -07:00

Hummingbird Benchmarks

This is the main entry point for the evaluation of Hummingbird!

The benchmark is divided in three main folders:

trees will allow to run all the tree-related experiments contained in section 6.1.1 in the paper A Tensor Compiler for Unified Machine Learning Prediction Serving. Please check the related README file for specifics.
operators will allow to run experiments on operators beside trees. This is pretty much Section 6.1.2 of the paper. Again, please check the related README file for specifics.
pipelines will allow to reproduce the results of section 6.3.

Take in mind that running the complete benchmark will take several days.