Troubleshoot all possibilities of installing related libraries or package errors: ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denied. :

Troubleshoot all possibilities of installing related libraries or package errors: ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Refuse to ask. :anaconda3\envs\pytorch\lib\site-packages\~cipy\.libs\libansari.R6EA3HQP5KZ6TAXU4Y4ZVTRPT7UVA53Z.gfortran-win_amd64.dll'Consider using the --useroption or check the permissions.

This error message is caused by permission issues with certain files or directories when trying to install or update Python packages. Specifically, this error is due to an attempt to access or modify the specified .dllfile being denied.

To fix this, you can try the following:

1. Use --useroption : This will install the Python package into the user's home directory instead of the global environment. This usually avoids permission issues. You can do this:

   pip install tensorflow-gpu==2.1.0 --user
   

2. Run Command Prompt or Terminal as Administrator : On Windows, you can right-click the Command Prompt or PowerShell icon and select "Run as Administrator." Then try the install command again.

3. Check and change the permissions of the file or directory : You can try changing the permissions of the file or directory mentioned in the above error message. However, make sure you know what you're doing, as changing permissions on system files can cause other problems.

4. Close programs that may be using the file : Sometimes you may run into permission issues if the file is being used by other programs, such as the Python interpreter or IDE. Make sure to close any programs that might be using the file, then try installing again.

5. Manually delete the problem file : If none of the above methods work, you can try manually deleting the file mentioned in the error message and try the installation again. However, make sure you have a backup before deleting any files.

6. Consider using a virtual environment : To avoid permissions and dependency issues in the global environment, it is recommended to use a Python virtual environment such as venvor conda.

Hope these suggestions help you solve your problem! If the problem persists, please let me know in the comments and I will try to help.