Comments (4)
当你用一条数据训练的时候,显存就达到了11gb,说明你的模型很大。而且你使用两块GPU进行计算的时候,第一块GPU的显存占用量肯定会增加,所以也不奇怪了。
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当你用一条数据训练的时候,显存就达到了11gb,说明你的模型很大。而且你使用两块GPU进行计算的时候,第一块GPU的显存占用量肯定会增加,所以也不奇怪了。
但是gpu0不应该只是在计算梯度的时候使用吗,还有其他什么操作会增加gpu0的显存量吗?
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我也不是很了解pytorch占用显存的机制,但是从我做实验的经验来看,pytorch占用的显存并不会释放,除非程序结束
from balanced-dataparallel.
我也不是很了解pytorch占用显存的机制,但是从我做实验的经验来看,pytorch占用的显存并不会释放,除非程序结束
是的,我也有这个体会。我尝试再研究下,感谢回答
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Related Issues (16)
- 参数应该如何传递?
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- 我这个说'BalancedDataParallel' object has no attribute 'model' 请问知道是什么原因吗 HOT 1
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- 您好,我使用这个代码,发现评估效果特别差。
- 参数如何传递? HOT 5
- Your code is error when gpu0bs=0 HOT 1
- 关于batchsize=1 HOT 2
- 代码能够正常运行,但显存不足的问题仍未解决 HOT 12
- IndexError: tuple index out of range HOT 4
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