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Performance Test #150
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I'll start a new benchmark soon and update it. Not sure if ND4J will be included in the first pass since there are some significant issues. Doesn't seem t support many of the operations and documentation is poor. Who knows, maybe that fixed that in the past year. |
BTW, PyTorch is most likely faster than ND4J, its C++ API probably comes with all operations supported by EJML, and can easily be accessed from Java with the JavaCPP Presets for PyTorch: For example, Cholesky factorization and eigenvalues are documented here: And those functions get mapped to these Java methods: |
Hey Lessthanoptimal,
I've been looking at a benchmark, EJML is the second fastest library. Is it time to do another full benchmark? Maybe you should include ND4J.
Merry Christmas.
https://app.cybench.io/cybench/api/java/matrices
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