2019-12 - 1/1 Blog benchmark (4) onnx (8)
2019-12 - 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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