Some test fail as your GPU isn't supported by cudnn.

But others are failing as one dependency is missing:

ImportError: No module named nose_parameterized

Is this the docker image you are talking about?

https://github.com/nouiz/Theano-Docker

Which docker file did you used?

https://github.com/nouiz/Theano-Docker/blob/master/Dockerfile.0.8.X.jupyter.cuda.secure
maybe?

I could add that missing dependency.

We don't test the docker image frequently.

Fred

On Tue, Aug 2, 2016 at 2:32 PM, Anastasios Tsiolakidis <[email protected]
> wrote:

> Apologies if somehow these are covered in different places. On the latest
> ubuntu and cuda-theano image, after about an hour of tweaking cnmem to no
> avail, I discovered my 820m is simply too old to support cudnn. Then I ran
>
> THEANO_FLAGS='floatX=float32,device=cpu,lib.cnmem=1' theano-test
>
> (assuming cnmem is simply ignored here) and got, at the very end
>
> *Ran 430 tests in 185.914s*
> *FAILED (SKIP=18, errors=88, failures=12)*
>
> If I understand docker recipes correctly, they could be configured
> flexibly to always run the latest-best versions of everything, but perhaps
> cuda-theano has been left a bit behind? I am guessing the absence of GPU
> only produced the 18 skips, but I could be wrong. Are the docker images
> perhaps only to be thought of "as is" with no further interest from the
> community? I am appending the rest of the error messages, thanks!
>
> http://pastebin.com/vkXWZbnE
>
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