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conda創(chuàng)建pytorch環(huán)境報(bào)錯(cuò)

更新時(shí)間：2023年11月20日 14:53:02 作者：神奇寶貝威威

這篇文章主要介紹了conda創(chuàng)建pytorch環(huán)境報(bào)錯(cuò)，幫助大家更好的理解和學(xué)習(xí)使用python，感興趣的朋友可以了解下

昨天訓(xùn)練數(shù)據(jù)的時(shí)候，發(fā)現(xiàn)Anaconda占用C盤(pán)達(dá)到了20G（暑假在cmd狀態(tài)下安裝的，默認(rèn)下載到了C盤(pán)），心道再創(chuàng)建幾個(gè)環(huán)境，C盤(pán)就要爆紅了，于是重裝Anaconda到了D盤(pán)，不過(guò)之后的初始化并不順利--創(chuàng)建pytorch環(huán)境總是失敗，網(wǎng)上查閱了許多資料：配置path環(huán)境變量，關(guān)閉VPN，.condarc文件刪除或添加路徑，更換清華源等等都無(wú)果。報(bào)錯(cuò)如下：

>>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
    Traceback (most recent call last):
      File "C:\Users\86150\anaconda3\Lib\site-packages\conda\exception_handler.py", line 17, in __call__
        return func(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^^^^
      File "C:\Users\86150\anaconda3\Lib\site-packages\conda\cli\main.py", line 54, in main_subshell
        parser = generate_parser(add_help=True)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
      File "C:\Users\86150\anaconda3\Lib\site-packages\conda\cli\conda_argparse.py", line 127, in generate_parser
        configure_parser_plugins(sub_parsers)
      File "C:\Users\86150\anaconda3\Lib\site-packages\conda\cli\conda_argparse.py", line 354, in configure_parser_plugins
        else set(find_commands()).difference(plugin_subcommands)
                 ^^^^^^^^^^^^^^^
      File "C:\Users\86150\anaconda3\Lib\site-packages\conda\cli\find_commands.py", line 71, in find_commands
        for entry in os.scandir(dir_path):
                     ^^^^^^^^^^^^^^^^^^^^
    OSError: [WinError 123] 文件名、目錄名或卷標(biāo)語(yǔ)法不正確。: 'D:\\1瀵邦喕淇?緇嬪\ue0c5綈璡瀵邦喕淇妛eb瀵\ue1b9偓閸欐垼鈧\ue100懎浼愰崗絀僤ll'
`$ C:\Users\86150\anaconda3\Scripts\conda-script.py config --set show_channel_urls yes`
  environment variables:
                 CIO_TEST=<not set>
                CLASSPATH=.;C:\Program Files\Java\jdk1.8.0_221\bin;C:\Program
                          Files\Java\jdk1.8.0_221\lib\dt.jar;C:\Program
                          Files\Java\jdk1.8.0_221\lib\tools.jar;D:\sqljdbc4\sqljdbc4.jar
        CONDA_DEFAULT_ENV=pytorch
                CONDA_EXE=C:\Users\86150\anaconda3\condabin\..\Scripts\conda.exe
               CONDA_EXES="C:\Users\86150\anaconda3\condabin\..\Scripts\conda.exe"
             CONDA_PREFIX=C:\Users\86150\anaconda3\envs\pytorch
           CONDA_PREFIX_1=C:\Users\86150\anaconda3
    CONDA_PROMPT_MODIFIER=(pytorch)
         CONDA_PYTHON_EXE=C:\Users\86150\anaconda3\python.exe
               CONDA_ROOT=C:\Users\86150\anaconda3
              CONDA_SHLVL=2
           CURL_CA_BUNDLE=<not set>
                 HOMEPATH=\Users\86150
               LD_PRELOAD=<not set>
                NODE_PATH=D:\1微信小程序\node\node_global\node_modules
                     PATH=C:\Users\86150\anaconda3\envs\pytorch;C:\Users\86150\anaconda3\envs\py
                          torch\Library\mingw-
                          w64\bin;C:\Users\86150\anaconda3\envs\pytorch\Library\usr\bin;C:\Users
                          \86150\anaconda3\envs\pytorch\Library\bin;C:\Users\86150\anaconda3\env
                          s\pytorch\Scripts;C:\Users\86150\anaconda3\envs\pytorch\bin;C:\Users\8
                          6150\anaconda3\condabin;E:\;E:\VM\bin;E:\app\Qracleinstall\product\12.
                          2.0\dbhome_1\bin;C:\Program Files\Microsoft MPI\Bin;C:\WINDOWS\system3
                          2;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPower
                          Shell\v1.0;C:\WINDOWS\System32\OpenSSH;E:\bin;C:\Program
                          Files\Microsoft SQL Server\Client SDK\ODBC\130\Tools\Binn;C:\Program
                          Files (x86)\MySQL\MySQL Server 5.5\bin;C:\Program
                          Files\Java\jdk1.8.0_221\bin;D:\apache-
                          tomcat-9.0.37-windows-x64\apache-tomcat-9.0.37\bin;C:\Program
                          Files\Java\jdk1.8.0_221\jre\bin;C:\Program Files\dotnet;C:\Program
                          Files\Microsoft SQL Server\Client SDK\ODBC\170\Tools\Binn;D:\x64\瀵邦喕淇妛
                          eb瀵偓閸欐垼鈧懎浼愰崗絀僤ll;D:\1瀵邦喕淇?緇嬪綈璡瀵邦喕淇妛eb瀵偓閸欐垼鈧懎浼愰崗絀僤ll;D:\1瀵邦喕淇婄亸蹇曗柤
                          ;\node;C:\Program Files (x86)\MySQL;D:\Git\Git\cmd;E:\Xshell;C:\Users\
                          86150\anaconda3;C:\Users\86150\anaconda3\Library\mingw-
                          w64\bin;C:\Users\86150\anaconda3\Library\usr\bin;C:\Users\86150\anacon
                          da3\Library\bin;C:\Users\86150\anaconda3\Scripts;D:\Python\python3.11.
                          5\Scripts;D:\Python\python3.11.5;C:\Users\MySQL\MySQL Server 8.0\bin;C
                          :\Users\86150\AppData\Local\Microsoft\WindowsApps;.;C:\Users\86150\.do
                          tnet\tools;C:\Users\86150\AppData\Local\Microsoft\WindowsApps;D:\1瀵邦喕淇
                          婄亸蹇曗柤鎼村猾node\node_global;E:\Python\PyCharm Community Edition
                          2023.1.3\bin;.;C:\Users\86150\Python 3.11;D:\Microsoft VS Code\bin
             PSMODULEPATH=C:\Program Files\WindowsPowerShell\Modules;C:\WINDOWS\system32\Windows
                          PowerShell\v1.0\Modules;C:\Users\86150\Desktop\編程;
       REQUESTS_CA_BUNDLE=<not set>
            SSL_CERT_FILE=C:\Users\86150\anaconda3\Library\ssl\cacert.pem
     active environment : pytorch
    active env location : C:\Users\86150\anaconda3\envs\pytorch
            shell level : 2
       user config file : C:\Users\86150\.condarc
 populated config files : C:\Users\86150\.condarc
          conda version : 23.7.4
    conda-build version : 3.26.1
         python version : 3.11.5.final.0
       virtual packages : __archspec=1=x86_64
                          __win=0=0
       base environment : C:\Users\86150\anaconda3  (writable)
      conda av data dir : C:\Users\86150\anaconda3\etc\conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\86150\anaconda3\pkgs
                          C:\Users\86150\.conda\pkgs
                          C:\Users\86150\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\86150\anaconda3\envs
                          C:\Users\86150\.conda\envs
                          C:\Users\86150\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/23.7.4 requests/2.31.0 CPython/3.11.5 Windows/10 Windows/10.0.19045
          administrator : False
             netrc file : None
           offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
If you suspect this error is being caused by a malfunctioning plugin,
consider using the --no-plugins option to turn off plugins.
Example: conda --no-plugins install <package>
Alternatively, you can set the CONDA_NO_PLUGINS environment variable on
the command line to run the command without plugins enabled.
Example: CONDA_NO_PLUGINS=true conda install <package>
If submitted, this report will be used by core maintainers to improve
future releases of conda.
Would you like conda to send this report to the core maintainers? [y/N]:
No report sent. To permanently opt-out, use
    $ conda config --set report_errors false

又看到安裝Anaconda時(shí)，選擇JUST ME默認(rèn)環(huán)境路徑在annconda/env下，而選擇ALL USERS默認(rèn)環(huán)境路徑則在C盤(pán).anaconda/env文件夾下。卸載后又重裝了Anaconda，先是選擇JUST ME，報(bào)相同的錯(cuò)誤，又重裝后選擇ALL USERS，創(chuàng)建pytorch還是相同的錯(cuò)誤。

無(wú)奈之下，再次把Anaconda安裝到C盤(pán)，這時(shí)候執(zhí)行conda create -n pytorch python=3.8命令是沒(méi)問(wèn)題的，環(huán)境可以成功創(chuàng)建。conda activate pytorch激活環(huán)境也沒(méi)問(wèn)題，不過(guò)最重要的一步--安裝torch又出錯(cuò)了，pytorch官網(wǎng)的conda代碼，清華源，華科源都報(bào)相同的錯(cuò)誤（上述代碼）。Google/GitHub/CSDN/Stack Overflow/博客園等等都查了一遍，都沒(méi)出現(xiàn)過(guò)類(lèi)似的問(wèn)題。晚上睡覺(jué)的時(shí)候心想難道要重裝下系統(tǒng)？

還好山重水復(fù)疑無(wú)路，下午在知乎瀏覽技術(shù)貼的時(shí)候看到一句話“pip 或者 conda的時(shí)候經(jīng)常被混合使用，這兩者也通常被認(rèn)為是幾乎相同的，盡管他們的很多功能是重疊的。“

突然意識(shí)到pip install 和conda install的功能應(yīng)該是相同的。興致沖沖在Anaconda Prompt命令行鍵入：pip3 install torch torchvision torchaudio，等待一段時(shí)間后torch終于下載成功。又進(jìn)入python環(huán)境中導(dǎo)入的torch包，輸出了torch的版本

>>> import torch
>>> torch.__version__
'2.1.1+cpu'

這下終于塵埃落定，解決掉這個(gè)難題了。

到此這篇關(guān)于conda創(chuàng)建pytorch環(huán)境報(bào)錯(cuò)的文章就介紹到這了,更多相關(guān)conda創(chuàng)建pytorch環(huán)境內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

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