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] 
> <javascript:>> 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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>>>
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>>>
>>>
>>> -- 
>>> Pascal 
>>>
>> -- 
>>
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