Caffe, Theano, Torch, TensorFlow on GPU10

[Predrag Punosevac]

Dear Autonians,

I have just upgraded NVidia driver on GPU10 to 418.74 as well as
libcudnn7 to 7.5.1.10-1 which is compatible with CUDA 10.1 (the
default on this server). I have also upgrade MATLAB to 2019a relase.

nvidia-smi works as expected as well as MATLAB. gpuDevice() which was
broken on the previous release of MATLAB now correctly shows four
available GeForce GTX 1081 Ti cards.

I would like to help the Auton Lab deep learning community and fix
Caffe, Theano, Torch/PyTorch, TensorFlow or whatever are people using
these days. I need you to log into the server and try to install your
usual tool and test it.

I would also appreciate feedback about other 8 gpu servers(GPU7 is
reserved for the special project). I know at the very least that GPU3
scratch directory is filled. I am aware of a dead GPU card on GPU4
computing node (I have 1081 Ti on my desk which I can use instead of
the dead Titan X on that server). GPU3 perhaps has another dead GPU
card.

Most Kind Regards,
Predrag Punosevac