benchmark - 1/1 Blog onnx (8) runtime (3)
benchmark - 1/1#
Custom C++ TopK#
2019-12-16
It started with the fact the python runtime for the AdaBoostRegressor was quite slow. I noticed three operators were quite slow even though their implementation was based on numpy: TopK, ArrayFeatureExtractor and GatherElement. I made a custom implementation of the first two.
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RandomForestClassifier - prediction for one observation#
2019-12-04
I was meeting with Olivier Grisel this morning and we were wondering why scikit-learn was slow to compute the prediction of a random forest for one observation compare to what onnxruntime does, and more specically some optimized C++ code inspired from onnxruntime. We used py-spy and wrote the following script:
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The bug which makes you waste time#
2019-10-04
It is not a bug but it is something which makes
you waste some significant time just to understand
what’s going on. asv would refuse to detect
the benchmark I was trying to set up just because
filenames did contain dots. So, for asv
don’t add a file name.option.py but use
name_option.py.
A couple of benchmark for tries:
bench1, bench2.
benchmark - 1/1 2020-11 (1) 2021-05 (2) 2021-07 (2) 2021-08 (3) 2022-02 (1)