网上很多用pycharm的,但我是vscode的死忠粉(●'◡'●)
vscode上的python配置是之前就弄好的,所以先整好能跑“ print("hello world") ”哈
1
先按照其它教程的步骤,安装 anaconda 和 pytorch ,到这一步:可见,我建了一个名为pytorch的环境。
2
打开vscode,点击左下角选择解释器:问题一:找不到torch模块
创建一个pytorch.py文件,输入:
import torch
报错:
3.png
解决办法:
将settings.json文件改为如下内容,注意其中的python项改成自己python的地址
{
"code-runner.executorMap":{
"javascript": "node",
"java": "cd $dir && javac $fileName && java $fileNameWithoutExt",
"c": "cd $dir && gcc $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"cpp": "cd $dir && g++ $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"objective-c": "cd $dir && gcc -framework Cocoa $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"php": "php",
"python": "E:/DeepLearning/envs/pytorch/python.exe",
"perl": "perl",
"perl6": "perl6",
"ruby": "ruby",
"go": "go run",
"lua": "lua",
"groovy": "groovy",
"powershell": "powershell -ExecutionPolicy ByPass -File",
"bat": "cmd /c",
"shellscript": "bash",
"fsharp": "fsi",
"csharp": "scriptcs",
"vbscript": "cscript //Nologo",
"typescript": "ts-node",
"coffeescript": "coffee",
"scala": "scala",
"swift": "swift",
"julia": "julia",
"crystal": "crystal",
"ocaml": "ocaml",
"r": "Rscript",
"applescript": "osascript",
"clojure": "lein exec",
"haxe": "haxe --cwd $dirWithoutTrailingSlash --run $fileNameWithoutExt",
"rust": "cd $dir && rustc $fileName && $dir$fileNameWithoutExt",
"racket": "racket",
"scheme": "csi -script",
"ahk": "autohotkey",
"autoit": "autoit3",
"dart": "dart",
"pascal": "cd $dir && fpc $fileName && $dir$fileNameWithoutExt",
"d": "cd $dir && dmd $fileName && $dir$fileNameWithoutExt",
"haskell": "runhaskell",
"nim": "nim compile --verbosity:0 --hints:off --run",
"lisp": "sbcl --script",
"kit": "kitc --run",
"v": "v run",
"sass": "sass --style expanded",
"scss": "scss --style expanded",
"less": "cd $dir && lessc $fileName $fileNameWithoutExt.css",
"FortranFreeForm": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"fortran-modern": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"fortran_fixed-form": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt",
"fortran": "cd $dir && gfortran $fileName -o $fileNameWithoutExt && $dir$fileNameWithoutExt"
},
"code-runner.runInTerminal": false
}
问题二:mkl-service模块导入失败blabla
和问题一相同的代码
出现很长很长的报错:
【E:\DeepLearning\envs\pytorch\lib\site-packages\numpy_init_.py:143: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import distributor_init
Traceback (most recent call last):
File "E:\DeepLearning\envs\pytorch\lib\site-packages\numpy\core_init.py", line 22, in <module>
from . import multiarray
.......省略
ImportError: DLL load failed: �Ҳ���ָ����ģ�顣
During handling of the above exception, another exception occurred:
....省略
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.
......省略
Please note and check the following:
- The Python version is: Python3.7 from "E:\DeepLearning\envs\pytorch\python.exe"
- The NumPy version is: "1.20.3"
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.
Original error was: DLL load failed: �Ҳ���ָ����ģ�顣】
解决办法:
是环境变量配置的问题,这边困扰我很久。
因为在安装anaconda时点了自动配环境变量,我一直默认自己环境变量没问题。
其实应该配上我建立的名为pytorch环境相关的路径!
所以最终添加了一下path环境变量:
最终代码运行成功: