WE don't have a working open CL backend. We don't have time to finish it.
We need people from the community come and help us finish it.

I'm offline, there is an issue on GitHub you can follow to stay up to date
on that subject.

Fred

Le 24 sept. 2016 04:03, "Robik Shrestha" <[email protected]> a écrit :

> I am trying to test theano with GPU (AMD graphics card).
> I have installed latest versions of theano and libgpuarray.
> However, I get the following error when trying to execute test script
> from: http://deeplearning.net/software/theano/tutorial/using_gpu.html
>
> THEANO_FLAGS=mode=FAST_RUN,device=opencl0:0,floatX=float32 python
> check1.py
>
> ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
> Traceback (most recent call last):
>   File "/usr/local/lib/python2.7/dist-packages/theano/gpuarray/__init__.py",
> line 111, in <module>
>     init_dev(config.device)
>   File "/usr/local/lib/python2.7/dist-packages/theano/gpuarray/__init__.py",
> line 67, in init_dev
>     sched=config.gpuarray.sched)
>   File "pygpu/gpuarray.pyx", line 583, in pygpu.gpuarray.init
> (pygpu/gpuarray.c:8686)
>   File "pygpu/gpuarray.pyx", line 529, in pygpu.gpuarray.pygpu_init
> (pygpu/gpuarray.c:8301)
>   File "pygpu/gpuarray.pyx", line 986, in pygpu.gpuarray.GpuContext.__cinit__
> (pygpu/gpuarray.c:12659)
> GpuArrayException: Invalid value or operation: 0
> [Elemwise{exp,no_inplace}(<TensorType(float32, vector)>)]
> Looping 1000 times took 3.225335 seconds
> Result is [ 1.23178029  1.61879337  1.52278066 ...,  2.20771813  2.29967761
>   1.62323284]
> Used the cpu
>
> Is there a way to use it with my card?
>
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