pytorch安装

打开命令提示符

创建虚拟环境

conda create -n pytorch pip python=3.6
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Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done

##Package Plan##

environment location: D:\Users\ThinkStation\anaconda3\envs\pytorch

added / updated specs:
- pip
- python=3.6

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
certifi-2021.5.30          |   py36haa95532_0         140 KB
pip-21.2.2                 |   py36haa95532_0         1.9 MB
python-3.6.13              |       h3758d61_0        14.6 MB
setuptools-58.0.4          |   py36haa95532_0         776 KB
sqlite-3.40.0              |       h2bbff1b_0         891 KB
wincertstore-0.2           |   py36h7fe50ca_0          14 KB
------------------------------------------------------------
                                       Total:        18.3 MB
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The following NEW packages will be INSTALLED:

certifi pkgs/main/win-64::certifi-2021.5.30-py36haa95532_0 None
pip pkgs/main/win-64::pip-21.2.2-py36haa95532_0 None
python pkgs/main/win-64::python-3.6.13-h3758d61_0 None
setuptools pkgs/main/win-64::setuptools-58.0.4-py36haa95532_0 None
sqlite pkgs/main/win-64::sqlite-3.40.0-h2bbff1b_0 None
vc pkgs/main/win-64::vc-14.2-h21ff451_1 None
vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 None
wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0 None
wincertstore pkgs/main/win-64::wincertstore-0.2-py36h7fe50ca_0 None

Proceed ([y]/n)?

y
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conda activate pytorch
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去 https://download.pytorch.org/whl/torch_stable.html 下载pytorch版本的包
我下载的是

将该文件复制粘贴至cmd文件夹下

pip install torch-1.0.0-cp36-cp36m-win_amd64.whl
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Installing collected packages: torch
Successfully installed torch-1.0.0

(pytorch) C:\Users\ThinkStation>python
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报错：
ImportError: numpy.core.multiarray failed to import

错误原因：numpy版本不够，更新numpy版本即可，这里使用清华源更新

pip3 install numpy --upgrade  -i https://pypi.tuna.tsinghua.edu.cn/simple
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