OSError - Errno 13 Permission denied
Another option is to ensure the file is not open anywhere else on your machine.
Probably you are facing problem when a download request is made by the maybe_download function call in base.py file.
There is a conflict in the permissions of the temporary files and I myself couldn't work out a way to change the permissions, but was able to work around the problem.
Do the following...
- Download the four .gz files of the MNIST data set from the link ( http://yann.lecun.com/exdb/mnist/ )
- Then make a folder names MNIST_data (or your choice in your working directory/ site packages folder in the tensorflow\examples folder).
- Directly copy paste the files into the folder.
- Copy the address of the folder (it probably will be ( C:\Python\Python35\Lib\site-packages\tensorflow\examples\tutorials\mnist\MNIST_data ))
- Change the "\" to "/" as "\" is used for escape characters, to access the folder locations.
- Lastly, if you are following the tutorials, your call function would be ( mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) ) ; change the "MNIST_data/" parameter to your folder location. As in my case would be ( mnist = input_data.read_data_sets("C:/Python/Python35/Lib/site-packages/tensorflow/examples/tutorials/mnist/MNIST_data", one_hot=True) )
Then it's all done. Hope it works for you.
You need to change the directory permission so that web server process can change the directory.
To change ownership of the directory, use
chown
:chown -R user-id:group-id /path/to/the/directory
To see which user own the web server process (change
httpd
accordingly):ps aux | grep httpd | grep -v grep
OR
ps -efl | grep httpd | grep -v grep
This may also happen if you have a slash before the folder name:
path = '/folder1/folder2'
OSError: [Errno 13] Permission denied: '/folder1'
comes up with an error but this one works fine:
path = 'folder1/folder2'