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snapshot for January 2026
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26 January 2026
J
哎算了,tensorflow 这东西谁见了都头痛
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( 一直没去学jax
不过差距仅限于深层小模型。层次不深,或者每一层计算量很大的话差距就不明显了。
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根本原因在PyTorch.compile的loop是还是跑在Python上面的,只是编译成了C++的C Extension。层次一深cuda->c++->python->c++->cuda的路径上面python段会产生很多开销。 jax.jit编译之后整个函数就都完全不在Python里面跑了,层次深浅对整体影响不大。 (23年的测试了,不知道现在PyTorch有没有优化过了)
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