Something else could use the memory of the GPU, like the GUI or other
process in back-ground. Can you reboot the computer? If that do not fix the
problem, try to execute the command line "nvidia-smi" in a terminal.

Frédéric

On Tue, Feb 27, 2018 at 10:54 AM Fei Tao <tct...@gmail.com> wrote:

> Hi, Dear all,
>
> I have two computers, one with GTX 1070 (8GB g-mem) and the other with GTX
> 745 (4GB g-mem).
>
> For both of them, I am using Keras 2.0.8 and Theano 0.9.0. I copy the
> theano and keras configuration files to both computers so that they have
> the same setting. The only difference is GTX 1070 works with cuDNN 5105,
> while GTX 745 works with cuDNN 5110.
>
> I also use the same python codes for both computers (copy the program to
> both computers). However, I have a problem about GTX 1070, showing that it
> is 'GPU out of memory' during initialization, while the GTX 745 is totally
> fine.
>
> I am using Ubuntu 14.04.
>
> This is very weird since GTX 1070 has more memory than GTX 745. Is there
> any setting I can check to find out what the problem is?
>
> How can I fix this problem?
>
> Thank you very much!
>
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