@El Houssine Talab:
Reboot your computer. That helped me!
-Ø

On Fri, Sep 15, 2017 at 12:18 PM, El Houssine Talab <
[email protected]> wrote:

> Hi, can you please elaborate how to implement the solution you are
> suggesting? Thank you.
>
> On Friday, March 31, 2017 at 4:53:44 PM UTC+4, nouiz wrote:
>>
>> lib.cnmem isn't used by the new backend. Use gpuarray.preallocate instead.
>>
>> Fred
>>
>> Le jeu. 30 mars 2017 15:39, Øystein Schønning-Johansen <[email protected]>
>> a écrit :
>>
>>> Thanks for answering, Pascal.
>>>
>>> Just before I ran deviceQuery and nvidia-smi, I did a reboot of the 
>>> computer,
>>> and guess what?
>>> [oystein@jupiter release]$ *python*
>>> Python 3.6.0 (default, Jan 16 2017, 12:12:55)
>>> [GCC 6.3.1 20170109] on linux
>>> Type "help", "copyright", "credits" or "license" for more information.
>>> >>> *import theano*
>>> *Using cuDNN version 5105 on context None*
>>> *Mapped name None to device cuda: GeForce GTX 1080 (0000:02:00.0)*
>>>
>>> It works again! I guess the reboot helped.
>>>
>>> I've no idea what triggered the bug in the first place. I might have had
>>> a nvidia driver upgrade pending a reboot or something.
>>>
>>> Thanks anyway,
>>> -Øystein
>>>
>>> On Thursday, March 30, 2017 at 8:26:05 PM UTC+2, Pascal Lamblin wrote:
>>>
>>>> Are you able to run other CUDA programs on that GPU, for instance
>>>> devicQuery (source included in cuda SDK)?
>>>> What does deviceQuery return, vs nvidia-smi?
>>>>
>>>> On Thu, Mar 30, 2017, Øystein Schønning-Johansen wrote:
>>>> >
>>>> >
>>>> > Hi all!
>>>> >
>>>> > Today I got the 'strange' error message when importing theano. This
>>>> has worked perfectly before,
>>>> >
>>>> > I've built theano and libgpuarray from git sources. I've even
>>>> recompiled from the today's repo code, but I get the same error every time.
>>>> >
>>>> > Any hints?
>>>> >
>>>> >
>>>> > Thanks,
>>>> >
>>>> > -Øystein
>>>> >
>>>> >
>>>> > [oystein@jupiter libgpuarray-git]$ python
>>>> > Python 3.6.0 (default, Jan 16 2017, 12:12:55)
>>>> > [GCC 6.3.1 20170109] on linux
>>>> > Type "help", "copyright", "credits" or "license" for more
>>>> information.
>>>> > >>> import theano
>>>> > ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
>>>> > Traceback (most recent call last):
>>>> >   File "/usr/lib/python3.6/site-packages/theano/gpuarray/__init__.py",
>>>> line 164, in <module>
>>>> >     use(config.device)
>>>> >   File "/usr/lib/python3.6/site-packages/theano/gpuarray/__init__.py",
>>>> line 151, in use
>>>> >     init_dev(device)
>>>> >   File "/usr/lib/python3.6/site-packages/theano/gpuarray/__init__.py",
>>>> line 60, in init_dev
>>>> >     sched=config.gpuarray.sched)
>>>> >   File "pygpu/gpuarray.pyx", line 614, in pygpu.gpuarray.init
>>>> (pygpu/gpuarray.c:9419)
>>>> >   File "pygpu/gpuarray.pyx", line 566, in pygpu.gpuarray.pygpu_init
>>>> (pygpu/gpuarray.c:9110)
>>>> >   File "pygpu/gpuarray.pyx", line 1021, in
>>>> pygpu.gpuarray.GpuContext.__cinit__ (pygpu/gpuarray.c:13472)
>>>> > pygpu.gpuarray.GpuArrayException: Unknown device error: -1
>>>> > >>>
>>>> >
>>>> > [oystein@jupiter libgpuarray-git]$ cat ~/.theanorc
>>>> > [global]
>>>> > floatX = float32
>>>> > device = cuda
>>>> > allow_gc = False
>>>> > [lib]
>>>> > cnmem=1.0
>>>> >
>>>> >
>>>> > --
>>>> >
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>>>>
>>>>
>>>> --
>>>> Pascal
>>>>
>>> --
>>>
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