Caffe, Theano, Torch, TensorFlow on GPU10

[Predrag Punosevac]

Thanks for the report. Does PyTorch work on all other GPUs? This is an
opportunity for me to go and fix the things. Anybody else?

Predrag

On Tue, May 14, 2019 at 4:22 PM Emre Yolcu <eyolcu at andrew.cmu.edu> wrote:
>
> PyTorch is working fine on gpu10. Thank you very much Predrag.
>
>
>
> Emre
>
>
>
> From: Predrag Punosevac
> Sent: Monday, May 13, 2019 4:24 PM
> To: users at autonlab.org
> Subject: Caffe, Theano, Torch, TensorFlow on GPU10
>
>
>
> 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
>
>