为什么用pytorch cuda，明明显存很够用，却报错out of memory？ - 知乎
01 July 2025 admin
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摘要： 在使用PyTorch CUDA进行深度学习计算时，即使显存看似充足，也可能会遇到“out of memory”错误。这背后有多种原因，包括显存碎片化、CUDA上下文占用、大型中间变量等。下面通过一个通俗形象与学术准确并存的表格来解释这些原因。
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