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並前往https://guoyuantao.github.io/2019/06/23/pytorch-xue-xi-zhi-torch-shu-xue-cao-zuo-er/

Pytorch学习之torch----数学操作(二) | G&L博客

a = torch.randn(5) >>> a tensor([-1.1601, -0.8747, 0.2048, 1.8377, 0.2801]) >>> torch.log(a) tensor([ nan, nan, -1.5856, 0.6085, -1.2725]) ...

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