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我在三台windows电脑上训练,显卡分别是4060,1070,2080ti,训练时gpu占用率始终为0,gpu内存倒是占满了。在租的gpu云上,用4090在linux系统跑gpu占用就可以满。三台windows电脑的pytorch均可以使用gpu,不知道是什么原因。 上面4台电脑的cuda和pytorch版本均相同。 请问是什么回事
The text was updated successfully, but these errors were encountered:
2080ti要跑多久,3000epochs 100000iters
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可能是原始的数据集分辨率太大,从而加载数据集占据大部分时间,模型计算占据的时间较少
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我在三台windows电脑上训练,显卡分别是4060,1070,2080ti,训练时gpu占用率始终为0,gpu内存倒是占满了。在租的gpu云上,用4090在linux系统跑gpu占用就可以满。三台windows电脑的pytorch均可以使用gpu,不知道是什么原因。
上面4台电脑的cuda和pytorch版本均相同。
请问是什么回事
The text was updated successfully, but these errors were encountered: