Anders Boesen Lindbo Larsen

@errolgr : > I have a continuous check on nvidia-smi and noticed that the code never exceeds 2.5GB. Had the same issue with my 4GB card ~ stuck at 2.5GB...

Strange, this works fine for me (I reshaped tuebingen.jpg to 769x769). Are you using cuDNN?

Hi, have you seen this: http://andersbll.github.io/deeppy-website/installation-guide.html#verify-cuda-back-end ? The error you post above doesn't seem like an error to me, so the installation of libcudarray might be fine. Have you remembered...

You may also need to add the path to the cuda libraries to `LD_LIBRARY_PATH`.

Don't know, I'm not even sure what your precise error message is.

and by `libcudart.sc.7.5` you mean `libcudart.so.7.5`? If you are on Linux, then try running `ldd ` in the command line. If it cannot locate `libcudart.so.7.5`, it probably means that your...

Good to hear! :)

Are you instaling with `sudo`? In that case make sure the environment variables are also set for the root user.

Great job solving the previous issue. Regarding the new problem: What version of Python version are you using? It seems like a problem with circular dependent imports (which is strange...

Hey, I think you would have to code your own interpolated upsampling kernels since the ones that comes with the CUDA SDK (in the Performance Primitives (NPP) library) don't support...