The solution that worked out for me here when I was using python 3 os package for performing operations on a directory where I didn't have sufficient permissions and access to got resolved by running the python file with sudo (root) i.e.: sudo python python_file_name.pyĪny other utility that you might also plan on using to chmod or chown that directory would also only work when you run it with sudo. 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) ) Lastly, if you are following the tutorials, your call function would be ( mnist = input_data.read_data_sets("MNIST_data/", one_hot=True) ) Ĭhange the "MNIST_data/" parameter to your folder location.Change the "\" to "/" as "\" is used for escape characters, to access the folder locations.( C:\Python\Python35\Lib\site-packages\tensorflow\examples\tutorials\mnist\MNIST_data )) Copy the address of the folder (it probably will be.Directly copy paste the files into the folder.Then make a folder names MNIST_data (or your choice in your working directory/ site packages folder in the tensorflow\examples folder).gz files of the MNIST data set from the link ( ) 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.
Syncplay value error time data download#
Probably you are facing problem when a download request is made by the maybe_download function call in base.py file.
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