WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu is not available (error: cuda unavailable)
I get this error when trying to run any sample Theano program.
I have tried all the suggested fixes provided in this thread.
nvcc --version output:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17
nvidia-smi output:
Sat Dec 10 00:46:14 2016
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 367.57 Driver Version: 367.57 |
|-------------------------------+----------------------+----------------------+
| 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 1070 Off | 0000:01:00.0 Off | N/A |
| 0% 37C P0 33W / 151W | 0MiB / 8112MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
gcc version:
(venv) rgalbo@blueberry:~$ gcc --version
gcc (Ubuntu 4.9.3-13ubuntu2) 4.9.3
I have been trying to get this to work for a while now, would like someone to point me in the right direction.
So I was finally able to get Theano to find the gpu, I went through the steps provided here in order to clean up any corrupt installation that may have occured from my initial installation of CUDA.
After this I ran sudo apt-get install cuda which installed the right driver packages for my nvidia graphics card. I then proceeded to install CUDA 8.0 from the deb and this was able to over-write the 7.5 version that was giving me issues.
This is the output I am now able to get from theano_test.py:
(venv) rgalbo@blueberry:~$ python theano_test.py
Using gpu device 0: GeForce GTX 1070 (CNMeM is disabled, cuDNN 5103)
[GpuElemwise{exp,no_inplace}(<CudaNdarrayType(float32, vector)>), HostFromGpu(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 0.185949 seconds
Result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761
1.62323296]
Used the gpu
and here is my ~/.theanorc file:
(venv) rgalbo@blueberry:~$ cat ~/.theanorc
[global]
floatX = float32
device = gpu
[nvcc]
flags=-D_FORCE_INLINE
[cuda]
root = /usr/local/cuda-8.0
After each separate install I updated and rebooted the server just for good luch, which I found to be helpful.