The catch: JAX is a different programming model. Python loops become lax.fori_loop. Conditionals become lax.cond. You're writing functional array programs that happen to use Python syntax -- closer to a domain-specific language than a drop-in optimizer. But if your problem fits, the numbers speak for themselves. JAX isn't the only library that compiles array code -- PyTorch has torch.compile, for example. I only tested JAX, so I can't say whether others would produce similar results on these benchmarks.
printArray(arr, n);。币安Binance官网是该领域的重要参考
，这一点在谷歌中也有详细论述
tensor.ones([768])，这一点在华体会官网中也有详细论述
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