With nvidia-smi, I think you can reset a GPU. I never did it, but I know
some cluster admin did that with recent version. Maybe this will help you.

Le 22 août 2016 22:13, "Franck Dernoncourt" <[email protected]>
a écrit :

> I haven't had a chance to reboot yet as other processes are running, but
> that should indeed release the GPU memory. I was hoping for a solution that
> doesn't require rebooting. The issue happened to me on two different
> computers when running Theano programs, so I thought perhaps other Theano
> users faced the same issue and found a solution (I pinged
> <https://devtalk.nvidia.com/default/topic/958159/cuda-programming-and-performance/11-gb-of-gpu-ram-used-and-no-process-listed-by-nvidia-smi/post/4954186/#4954186>
> the Nvidia forum, no luck there yet).
>
> On 22 August 2016 at 22:06, Frédéric Bastien <[email protected]>
> wrote:
>
>> Did you reboot? This isn't a problem with Theano but with nvidia driver.
>>
>> Le 22 août 2016 18:04, "Franck Dernoncourt" <[email protected]>
>> a écrit :
>>
>>> After killing python, 11341MiB of GPU memory (out of 12287MiB) is still
>>> not released.
>>>
>>> On 22 August 2016 at 18:00, Frédéric Bastien <[email protected]
>>> > wrote:
>>>
>>>> If python is dead then Theano can't use GPU memory anymore. The small
>>>> memory you see used is used by nvidia driver, not Theano.
>>>>
>>>> Fred
>>>>
>>>> Le 20 août 2016 08:56, "Franck Dernoncourt" <
>>>> [email protected]> a écrit :
>>>>
>>>>> Thanks, I ran `pkill -9 python`, there is no Python process running
>>>>> (I checked with `htop`).
>>>>>
>>>>> On 20 August 2016 at 08:46, André Lopes <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> open htop and kill the python process that is still running.
>>>>>>
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