Re: [theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-09-15 Thread Øystein Schønning-Johansen
@El Houssine Talab:
Reboot your computer. That helped me!
-Ø

On Fri, Sep 15, 2017 at 12:18 PM, El Houssine Talab <
elhoussineta...@gmail.com> 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 
>> 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 (: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 
 > 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
 >
 >
 > --
 >
 > ---
 > You received this message because you are subscribed to the Google
 Groups "theano-users" group.

>>> > To unsubscribe from this group and stop receiving emails from it, send
 an email to theano-users...@googlegroups.com.

>>> > For more options, visit https://groups.google.com/d/optout.


 --
 Pascal

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Re: [theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-09-15 Thread El Houssine Talab
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  > 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 (: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  
>>> > 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 
>>> > 
>>> > 
>>> > -- 
>>> > 
>>> > --- 
>>> > You received this message because you are subscribed to the Google 
>>> Groups "theano-users" group. 
>>>
>> > To unsubscribe from this group and stop receiving emails from it, send 
>>> an email to theano-users...@googlegroups.com. 
>>>
>> > For more options, visit https://groups.google.com/d/optout. 
>>>
>>>
>>> -- 
>>> Pascal 
>>>
>> -- 
>>
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>>
>

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Re: [theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-03-31 Thread Frédéric Bastien
lib.cnmem isn't used by the new backend. Use gpuarray.preallocate instead.

Fred

Le jeu. 30 mars 2017 15:39, Øystein Schønning-Johansen 
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 (: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 
> > 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
> >
> >
> > --
> >
> > ---
> > You received this message because you are subscribed to the Google
> Groups "theano-users" group.
>
> > To unsubscribe from this group and stop receiving emails from it, send
> an email to theano-users...@googlegroups.com.
>
> > For more options, visit https://groups.google.com/d/optout.
>
>
> --
> Pascal
>
> --
>
> ---
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> email to theano-users+unsubscr...@googlegroups.com.
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>

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Re: [theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-03-30 Thread Øystein Schønning-Johansen
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 (: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  
> > 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 
> > 
> > 
> > -- 
> > 
> > --- 
> > You received this message because you are subscribed to the Google 
> Groups "theano-users" group. 
> > To unsubscribe from this group and stop receiving emails from it, send 
> an email to theano-users...@googlegroups.com . 
> > For more options, visit https://groups.google.com/d/optout. 
>
>
> -- 
> Pascal 
>

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Re: [theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-03-30 Thread Pascal Lamblin
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 
> 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
> 
> 
> -- 
> 
> --- 
> You received this message because you are subscribed to the Google Groups 
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-- 
Pascal

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[theano-users] pygpu.gpuarray.GpuArrayException: Unknown device error: -1

2017-03-30 Thread Øystein Schønning-Johansen


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 
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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