I\'m new to Theano. Trying to set up a config file.
First of all, I notice that I have no .theanorc file:
locate .theanorc
- returns nothi
I have been having similar problems. I have NVIDIA 1070 GPU on a desktop machine with Asus Z270E motherboard and was able to import theano after setting up the .theanorc file as below. (And rebooting afterwards)
[global]
floatX = float32
device = gpu
[cuda]
root = /usr/local/cuda
[lib]
cnmem = 1
I had a similar question and this is what helped me:
import theano
//...
theano.config.floatX = 'float32' //or 'float64' whatever you want
This worked for me:
nano ~/.theanorc
Then I entered:
[global]
floatX = float32
device = cuda
Code to check if Theano is using the GPU is on the Theano doc page.
(I am using Ubuntu 14.04, Theano 0.9.0 (conda), NVIDIA 1080 Ti GPU).
In Linux in terminal Home directory write:
nano .theanorc
In the file copy the following lines
[global]
floatX = float32
device = gpu0
[lib]
cnmem = 1
Save it.
When I import theano in python I was having cnmem memory problems. Seems that is because the monitor is connected to the gpu. To resolve it change cnmem to 0.8. This number below 1 is the percentage of gpu reserved for theano
Theano does not create any configuration file by itself, but has default values for all its configuration flags. You only need such a file if you want to modify the default values.
This can be done by creating a .theanorc file in your home directory. For example, if you want floatX to be always float32, you can do this:
echo -e "\n[global]\nfloatX=float32\n" >> ~/.theanorc
under Linux and Mac. Under windows, this can also be done. See this page for more details:
http://deeplearning.net/software/theano/library/config.html