Hi Ramana,
Sorry I had not posted the script that I am using earlier.
Here it is:
*import theano *
* theano.test()*
* import os*
* import pygpu*
* os.environ["DEVICE"] = "cuda0"*
* print("Running pygpu tests")*
* pygpu.test()*
So in this case I see the *ContextNotDefined* error.
And if I run pygpu tests using - *DEVICE=cuda0 python -c "import
pygpu;pygpu.test()"*, then it works fine.
Any suggestion on what could be different between these two scenarios will
be helpful.
Regards
Deepali
On Wednesday, February 22, 2017 at 10:29:52 PM UTC+5:30, Ramana Subramanyam
wrote:
>
> Hi,
> This could probably because you didn't specify the device as a flag while
> executing your script, and it could be CPU in your .theanorc file. Could
> you change it to THEANO_FLAGS=device=cudaN theano.test() and try again ?
>
> Ramana
>
>
> I am using a script to which executes theano.test() and then it executes
>> pygpu.test(). But I see the following error at the end:
>>
>> ======================================================================
>> ERROR: test_GpuArray (pygpu.tests.test_gpu_ndarray.TestPickle)
>> ----------------------------------------------------------------------
>> Traceback (most recent call last):
>> File "/pathto/pygpu/tests/test_gpu_ndarray.py", line 744, in
>> test_GpuArray
>> pickle.dumps(pygpu.zeros((32,), context=ctx))
>> File "/usr/lib/python2.7/pickle.py", line 1380, in dumps
>> Pickler(file, protocol).dump(obj)
>> File "/usr/lib/python2.7/pickle.py", line 224, in dump
>> self.save(obj)
>> File "/usr/lib/python2.7/pickle.py", line 292, in save
>> rv = reduce(obj)
>> File "/pathto/theano/gpuarray/type.py", line 811, in GpuArray_pickler
>> ctx_name = _name_for_ctx(cnda.context)
>> File "/pathto/gpuarray/type.py", line 105, in _name_for_ctx
>> raise ContextNotDefined('context is not registered')
>> ContextNotDefined: context is not registered
>>
>> This error is not seen if pygpu.test() is executed by itself. Please
>> advise.
>>
>
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