Thanks, I tried `sudo nvidia-smi --gpu-reset -i 0`, it did not help (GPU 0
is the one where the GPU memory didn't get released).

On 23 August 2016 at 09:26, Frédéric Bastien <[email protected]>
wrote:

> 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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