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.
Российские Х-35 назвали «ракетами с интеллектом»20:52
。免实名服务器对此有专业解读
Canvas - zoom (scroll wheel, pinch, keyboard), pan (space+drag, middle-click, trackpad), fit-to-view, grid overlay
Марина Аверкина
，这一点在手游中也有详细论述
--log-dir LOG_DIR, -ld LOG_DIR
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