It's very much an apples to oranges comparison, but nevertheless relevant, since... | Hacker News

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		KeplerBoy on Oct 4, 2023 \| parent \| context \| favorite \| on: MatX: Efficient C++17 GPU numerical computing libr... It's very much an apples to oranges comparison, but nevertheless relevant, since NumPy is the defacto baseline for anything numeric in Python.

albertzeyer on Oct 4, 2023 [–]

Not really, for GPU computation, PyTorch, TensorFlow or JAX are the baselines (they are not just for ML stuff). Even for CPU, that's a more relevant comparison.

KeplerBoy on Oct 4, 2023 | [–]

I agree in principle, but my experience is that researchers writing code just default to NumPy.

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