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?
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
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。