Fragmentation

Understanding PyTorch Memory Management Mechanism

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Understanding PyTorch Memory Management Mechanism

Source: Data STUDIO This article is approximately 3600 words, recommended reading time is 9 minutes. Why does the error message indicate enough memory, yet still encounter OOM? What is the multi-level allocation mechanism of memory? Why is it designed this way? Analyzing the PyTorch Memory Management Mechanism Mainly Aims to Reduce “Memory Fragmentation” Impact. A … Read more

Understanding PyTorch Memory Management Mechanism

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Understanding PyTorch Memory Management Mechanism

Author丨Mialo@Zhihu Source丨https://zhuanlan.zhihu.com/p/486360176 1. Background Introduction Analyzing the PyTorch memory management mechanism primarily aims to reduce the impact of “memory fragmentation”. A simple example is as follows: As shown in the figure above, suppose we want to allocate 800MB of memory. Although the total free memory is 1000MB, the free memory shown in the upper figure … Read more