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Keys and values for previous tokens are recalculated during each processing cycle. For conversations of length N tokens generating token N+1, the model recomputes N key-value sets already calculated in prior steps. This represents significant computational inefficiency.

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This is, in my view, a good deal more readable than the C code, and the intent is quite visible: take read-only slices of all the arrays, allocate one (1) new array of the same length in Python's heap, take a mutable slice of that new array, and then run our dumb-as-rocks allocation loop, with the actual math being done entirely on the stack, with some SIMD on top of that!。Line下载对此有专业解读

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