小编Dan*_*hen的帖子

有两个pip install与重新安装软件包相关的选项,它们是--ignore-installed和--force-reinstall.

这两个选项在官方文档中描述如下

--force-reinstall
Reinstall all packages even if they are already up-to-date.

-I, --ignore-installed
Ignore the installed packages (reinstalling instead).

似乎他们都忽略了某些东西并进行了重新安装,但我无法区分它们(如果我实际执行它们,我会看到一些区别......但我无法解释).如果我搜索"力量重新安装PIP封装",结果列出了两个--ignore-installed和--force-reinstall,这让我困惑了很久.

我编写了一个 cnn 模块来使用 pytorch 进行数字识别，然后尝试使用 GPU 训练网络，但出现以下错误。

Traceback (most recent call last):
  File "main.py", line 51, in <module>
    outputs = cnn(inputs)
  File "/home/daniel/anaconda3/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/daniel/Code/kaggle-competitions/digit-recognizer/Net.py", line 40, in forward
    x = self.pool(F.relu(self.conv[i](x)))
  File "/home/daniel/anaconda3/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/daniel/anaconda3/envs/pytorch/lib/python3.5/site-packages/torch/nn/modules/conv.py", line 282, in forward
    self.padding, self.dilation, self.groups)
  File "/home/daniel/anaconda3/envs/pytorch/lib/python3.5/site-packages/torch/nn/functional.py", line 90, in conv2d
    return f(input, weight, bias)
RuntimeError: Input type (CUDAFloatTensor) and weight type (CPUFloatTensor) should be the …