CODEWITHSUNDEEP
pythoncudaubuntu-14.04theano-cuda
f34r51n
f34r51n

Reputation: 21

Unknown CUDA error when importing theano

In python, after importing theano, I get the following:

In [1]: import theano
WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not available  
(error: Unable to get the number of gpus available: unknown error)

I'm running this on ubuntu 14.04 and I have an old gpu: GeForce GTX280

And my nvidia driver:

$ nvidia-smi
Wed Jul 13 21:25:58 2016       
+------------------------------------------------------+                       
| NVIDIA-SMI 340.96     Driver Version: 340.96         |                       
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 280     Off  | 0000:02:00.0     N/A |                  N/A |
| 40%   65C    P0    N/A /  N/A |    638MiB /  1023MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Compute processes:                                               GPU Memory |
|  GPU       PID  Process name                                     Usage      |
|=============================================================================|
|    0            Not Supported                                               |
+-----------------------------------------------------------------------------+

I'm not sure why it's saying it's 'Not Supported' but it seems as though that might not be an issue as said here

Also, the CUDA version:

$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2014 NVIDIA Corporation
Built on Thu_Jul_17_21:41:27_CDT_2014
Cuda compilation tools, release 6.5, V6.5.12

Any help I can get would be awesome. I've been at this all day...

Upvotes: 2

Views: 974

Answers (2)

abbyan
abbyan

Reputation: 1

I had the same issue and was able to solve my issue by doing two things:

  • Install gcc-5 and linking/usr/bin/gcc to /usr/bin/gcc-5 as well as /usr/bin/g++ to/usr/bin/g++-5 (PS: I am using cuda 8)
  • Adding this flag flags=-D_FORCE_INLINES to the file ~/.theanorc under nvcc since apparently a bug in glibc 2.23 causes this issue

Upvotes: 0

Wboy
Wboy

Reputation: 2552

I feel your pain. I spent a few days ploughing through all the CUDA related errors.

Firstly, update to a more recent driver. eg, 361. (CLEAN INSTALL IT!) Then completely wipe cuda and cudnn from your harddrive with

sudo rm -rf /usr/local/cuda

or wherever else you installed it, then install cuda 7.5 (seriously, this specific version) and cuDNN v4 (again, this specific version)

You can run the following commands to settle CUDA.

wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run
bash cuda_7.5.18_linux.run --override

Follow the instructions, say NO when they ask you to install the 350 driver. And you should be set.

For cudnn, there's no direct link to wget, so you have to get the installer from https://developer.nvidia.com/cudnn and run the following commands:

tar xvzf cudnn-7.0-linux-x64-v4.0-prod.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda-7.5/include
sudo cp -r cuda/lib64/. /usr/local/cuda-7.5/lib64

echo -e 'export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-7.5/lib64"\nexport CUDA_HOME=/usr/local/cuda-7.5' >> ~/.bash_profile
source ~/.bash_profile

Now to handle Theano on GPU:

nano ~/.theanorc

add these lines:

[global]
floatX = float32
device = gpu0

If you get an nvcc error, make it so instead:

[global]
floatX = float32
device = gpu0
[nvcc]
flags=-D_FORCE_INLINES

Upvotes: 1

Related Questions