在Windows 10上的pip install torchvision出错

时间:2018-06-12 08:42:19

标签: python python-3.x pytorch

on pytorch,在Windows 10,conda和Cuda 9.0上安装。

当我运行conda install pytorch cuda90 -c pytorch时,

cmd没有抱怨,然后当我运行pip3 install torchvision时,我收到此错误消息。

Requirement already satisfied: torchvision in PATHTOFILE\python35\lib\site-packages (0.2.1)
Requirement already satisfied: numpy in PATHTOFILE\python35\lib\site-packages (from torchvision) (1.12.0+mkl)
Requirement already satisfied: six in PATHTOFILE\python35\lib\site-packages (from torchvision) (1.10.0)
Collecting pillow>=4.1.1 (from torchvision)
  Using cached https://files.pythonhosted.org/packages/ab/d2/d27a21bd3e64db1ca1dc7dc16026a16d77f5c3ffca9ec619eddeea7c47ce/Pillow-5.1.0-cp35-cp35m-win_amd64.whl
Collecting torch (from torchvision)
  Using cached https://files.pythonhosted.org/packages/5f/e9/bac4204fe9cb1a002ec6140b47f51affda1655379fe302a1caef421f9846/torch-0.1.2.post1.tar.gz
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "C:\Users\USERNAME~1\AppData\Local\Temp\pip-install-a70g611u\torch\setup.py", line 11, in <module>
        raise RuntimeError(README)
    RuntimeError: PyTorch does not currently provide packages for PyPI (see status at https://github.com/pytorch/pytorch/issues/566).

    Please follow the instructions at http://pytorch.org/ to install with miniconda instead.


    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\USERNAME~1\AppData\Local\Temp\pip-install-a70g611u\torch\

有人遇到此错误吗?

4 个答案:

答案 0 :(得分:4)

由于大小限制,Windows版本的pytorch从未上传到Windows的PyPi。因此,在安装时,您需要使用-f或--force-link到PyTorch滚轮:

pip install torch===1.5.0 torchvision===0.6.0 -f https://download.pytorch.org/whl/torch_stable.html

答案 1 :(得分:3)

通过运行以下

修复它

pip3 install http://download.pytorch.org/whl/cu90/torch-0.4.0-cp35-cp35m-win_amd64.whl

pip3 install torchvision

这很奇怪地解决了这个问题。不知道为什么。下次尝试在pip

上运行所有内容

答案 2 :(得分:2)

我尝试使用:

pip install torchvision

但这对我不起作用。 因此,我更仔细地搜索了这个问题,并找到了另一个解决方案:

pip install --no-deps torchvision

我希望这会有所帮助。

更新: 我要添加:“ --no-deps”表示将不下载任何依赖包。

答案 3 :(得分:0)

对我来说,使用“ pip install --no-deps torchvision”效果很好。