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我的batch_size=4,GPU内存为6G. 在前向推理过程中,每次到了卷积层运行时,GPU内存就会增加,0.3G左右,调试发现,推理到第49层,GPU内存就爆了。 也就是在执行x=module(x)时就会增加GPU的内存占用,请问,有哪位大神能解释下原因
The text was updated successfully, but these errors were encountered:
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我的batch_size=4,GPU内存为6G.
在前向推理过程中,每次到了卷积层运行时,GPU内存就会增加,0.3G左右,调试发现,推理到第49层,GPU内存就爆了。
也就是在执行x=module(x)时就会增加GPU的内存占用,请问,有哪位大神能解释下原因
The text was updated successfully, but these errors were encountered: