The test actually ran on GPU, as evidenced by it printing "GpuElemwise".
The issue is you are using a really old version of "gputest", which does
not correctly detect the new back-end. Please use the latest version at
http://deeplearning.net/software/theano/tutorial/using_gpu.html#testing-the-gpu
I was able to solve the issue by setting CPLUS_INCLUDE_PATH. Now the output
looks like this
Using cuDNN version 5110 on context None
Mapped name None to device cuda0: GeForce GTX 960 (:01:00.0)
[GpuElemwise{exp,no_inplace}(),
HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)]
Looping 1000
I also ran pygpu.test() setting device to cuda0. The only error it gives is
GpuArrayException: ('malloc: Resource temporarily unavailable', 6).
Otherwise, it runs fine.
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