theano error about gru4rec HOT 2 OPEN

This is not a GRU4Rec related error, but a sign that something in your Theano setup is not correct (it's not even the fault of Theano, but there is some kind of incompatibility between the driver/cuda/cuDNN on your system).

Some ideas on what could have gone wrong:

• Maybe your nVidia driver is too old (as the error message suggests). You should have at least r396.26, but it also works with newer (for example I use r430.14). If your driver is old, try upgrading it. (When upgrading the driver pay attention to the runfile vs. package issue.)
• Maybe the cuDNN you use was built for a different cuda version (there are different cuDNN 7.6 libs built for cuda 9.2, cuda 10.0, cuda 10.2, etc). Double check that your cuda and cuDNN match.
• Maybe when you built libgpuarray/pygpu, you did it in a different environment and it links to a different cuda/cuDNN version than you are using currently.
• It is less likely, but maybe a different cuda version is in your PATH or in LD_LIBRARY_PATH or in CUDA_HOME (or these environment variables don't point to any cuda version).
• You can also try disabling cuDNN usage in Theano by running it with the appropriate flag: THEANO_FLAGS=dnn.enabled=False python run.py .... I don't think that this has a significant impact on the speed of GRU4Rec, but I haven't tried yet. If setting this flag helps, the issue is definitely some kind of incompatibility between your cuDNN and cuda (and/or nVidia driver).
• You can also try to delete the theano cache (theano-cache purge or manually deleting the contents of ~/.theano/), maybe something is stuck there from a previous version.

If nothing else works, you can set up the whole environment from the ground up. I usually do it this way, because then I know exactly what was installed. It has worked for me 100% of the time. The main steps are:

• Uninstall your current cuda and nVidia driver (if these are installed)
• Install the nVidia driver (>=396.26)
• Install cuda 9.2
• Set the CUDA_HOME environment variable to <cuda_install_dir> (default: /usr/local/cuda-9.2), and make sure that <cuda_install_dir>/bin and <cuda_install_dir>/lib64 are added to PATH and LD_LIBRARY_PATH respectively.
• Download the appropriate cuDNN libs and copy them under cuda/lib64
• (If you start on a new machine, this is the point where you also install python and the required packages (optionally in pyenv/virtualenv))
• Install pycuda
• Build and install libgpuarray & pygpu
• Build and install Theano

from gru4rec.

Thank you very much.
I will check the problem according to your comments.

from gru4rec.