当我在python3.8.0中安装tensorflow时,它会显示错误。如何降级python版本而不影响其他文件。
(base) C:\Users\Akanksha-Lab-PC>pip uninstall python 3.8.4
WARNING: Skipping python as it is not installed.
WARNING: Skipping 3.8.4 as it is not installed.
(base) C:\Users\Akanksha-Lab-PC>pip uninstall python-3.8.4
WARNING: Skipping python-3.8.4 as it is not installed.
(base) C:\Users\Akanksha-Lab-PC>make altinstall python-3.7
'make' is not recognized as an internal or external command,
operable program or batch file.
(base) C:\Users\Akanksha-Lab-PC>pip install python-3.7
ERROR: Could not find a version that satisfies the requirement python-3.7 (from versions: none)
ERROR: No matching distribution found for python-3.7
当我键入命令pip show tensorflow
时,它会给出
(base) C:\Users\Akanksha-Lab-PC>python --version
Python 3.8.5
(base) C:\Users\Akanksha-Lab-PC>pip show tensorflow
WARNING: Package(s) not found: tensorflow
使用以下命令安装tensorflow时:
pip install tensorflow
它给出了这个错误
(base) C:\Users\Akanksha-Lab-PC>pip install tensorflow
Collecting tensorflow
Using cached tensorflow-2.4.1-cp38-cp38-win_amd64.whl (370.7 MB)
Requirement already satisfied: six~=1.15.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.15.0)
Collecting astunparse~=1.6.3
Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Requirement already satisfied: protobuf>=3.9.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (3.14.0)
Requirement already satisfied: typing-extensions~=3.7.4 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (3.7.4.3)
Requirement already satisfied: wheel~=0.35 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (0.35.1)
Requirement already satisfied: numpy~=1.19.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.19.2)
Processing c:\users\akanksha-lab-pc\appdata\local\pip\cache\wheels\a0\16\9c\5473df82468f958445479c59e784896fa24f4a5fc024b0f501\termcolor-1.1.0-py3-none-any.whl
Requirement already satisfied: flatbuffers~=1.12.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.12)
Collecting absl-py~=0.10
Using cached absl_py-0.11.0-py3-none-any.whl (127 kB)
Requirement already satisfied: h5py~=2.10.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (2.10.0)
Collecting keras-preprocessing~=1.1.2
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Requirement already satisfied: google-pasta~=0.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (0.2.0)
Collecting gast==0.3.3
Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Collecting grpcio~=1.32.0
Using cached grpcio-1.32.0-cp38-cp38-win_amd64.whl (2.6 MB)
Collecting tensorflow-estimator<2.5.0,>=2.4.0
Using cached tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)
Collecting tensorboard~=2.4
Using cached tensorboard-2.4.1-py3-none-any.whl (10.6 MB)
Collecting opt-einsum~=3.3.0
Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Processing c:\users\akanksha-lab-pc\appdata\local\pip\cache\wheels\5f\fd\9e\b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\wrapt-1.12.1-py3-none-any.whl
Collecting google-auth-oauthlib<0.5,>=0.4.1
Using cached google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)
Requirement already satisfied: setuptools>=41.0.0 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (50.3.1.post20201107)
Collecting markdown>=2.6.8
Using cached Markdown-3.3.3-py3-none-any.whl (96 kB)
Collecting google-auth<2,>=1.6.3
Using cached google_auth-1.24.0-py2.py3-none-any.whl (114 kB)
Collecting tensorboard-plugin-wit>=1.6.0
Using cached tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
Requirement already satisfied: requests<3,>=2.21.0 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (2.24.0)
Requirement already satisfied: werkzeug>=0.11.15 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (1.0.1)
Collecting requests-oauthlib>=0.7.0
Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting pyasn1-modules>=0.2.1
Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting cachetools<5.0,>=2.0.0
Using cached cachetools-4.2.1-py3-none-any.whl (12 kB)
Collecting rsa<5,>=3.1.4; python_version >= "3.6"
Using cached rsa-4.7-py3-none-any.whl (34 kB)
Requirement already satisfied: certifi>=2017.4.17 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (2020.6.20)
Requirement already satisfied: idna<3,>=2.5 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (2.10)
Requirement already satisfied: chardet<4,>=3.0.2 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (3.0.4)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (1.25.11)
Collecting oauthlib>=3.0.0
Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
Collecting pyasn1<0.5.0,>=0.4.6
Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Installing collected packages: astunparse, termcolor, absl-py, keras-preprocessing, gast, grpcio, tensorflow-estimator, oauthlib, requests-oauthlib, pyasn1, pyasn1-modules, cachetools, rsa, google-auth, google-auth-oauthlib, markdown, tensorboard-plugin-wit, tensorboard, opt-einsum, wrapt, tensorflow
Attempting uninstall: wrapt
Found existing installation: wrapt 1.11.2
Uninstalling wrapt-1.11.2:
ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denied: 'c:\\programdata\\anaconda3\\lib\\site-packages\\wrapt-1.11.2.dist-info\\INSTALLER'
Consider using the `--user` option or check the permissions.
有谁能告诉我这个问题的解决办法吗?
这个命令永远不会起作用。
pip
是一个python包管理器,即对于python的安装,pip负责将模块安装到python安装中。它不管理python本身的安装对于tensorflow安装错误:
and
这是因为
c:\\programdata
对non-admin用户有写保护,所以为了使您的命令成功,您应该以admin的身份运行cmd。BUT:
似乎您已经安装了anaconda,并试图使用
pip
将tensorflow
安装到基本环境中。Pip反过来尝试卸载一些已经存在的包,可能是为了满足tensorflow的需求。但是已经存在的软件包可能是由conda
在您第一次安装anaconda时安装的,因此您可能会进入这里的危险水域,并有可能破坏您的基本环境,因此有两个建议:conda create -n tf tensorflow-gpu
conda install tensorflow-gpu
会给你张量流关于你的另一个问题:
解决方案也是使用conda命令:
或者,更好的是,只需创建一个具有所需版本的环境:
例如,将为您提供一个名为py37的环境,其中安装了python3.7。它可以被激活和使用