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With fragmentation remaining forced on frameworks it will come to be significantly hard to be self-contained. I also think about…For example, the transpose operation with a two-dimensional that turns rows into columns might be completed by just flipping ne and nb and pointing to the exact same underlying information:In the meantime, Rasputin is u

Machine learning has advanced considerably in recent years, with algorithms surpassing human abilities in numerous tasks. However, the real challenge lies not just in creating these models, but in implementing them optimally in everyday use cases. This is where machine learning inference comes into play, emerging as a critical focus for researchers