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
On Sunday, July 2, 2017 at 8:58:41 AM UTC-4, Akshay Chaturvedi wrote:
>
> 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 (0000:01:00.0)
> [GpuElemwise{exp,no_inplace}(<GpuArrayType(float32, (False,))>),
> HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)]
> Looping 1000 times took 0.196515 seconds
> Result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761
> 1.62323296]
> Used the cpu
>
> The file is unable to detect that the program ran on gpu but it's a
> seperate issue. I am attaching the file gputest.py.
>
--
---
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+unsubscr...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
