[theano-users] problem of "out of memory" for theano 0.9.0

[Fei Tao]

Hi, Dear all,

I have two computers, one with GTX 1070 8GB g-mem) and the other with GTX
745 (4GB g-mem).

For both of them, I am using Keras 2.0.8 and Theano 0.9.0. I copy the
theano and keras configuration files to both computers so that they have
the same setting. The only difference is GTX 1070 works with cuDNN 5105,
while GTX 745 works with cuDNN 5110.

I also use the same python codes for both computers (copy the program to
both computers). However, I have a problem about GTX 1070, showing that it
is 'GPU out of memory' during initialization, while the GTX 745 is totally
fine.

I am using Ubuntu 14.04.

This is very weird since GTX 1070 has more memory than GTX 745. Is there
any setting I can check to find out what the problem is?

How can I fix this problem?

Thank you very much!

[Frédéric Bastien]

Something else could use the memory of the GPU, like the GUI or other
process in back-ground. Can you reboot the computer? If that do not fix the
problem, try to execute the command line "nvidia-smi" in a terminal.

Frédéric

Post by Fei Tao
Hi, Dear all,
I have two computers, one with GTX 1070 8GB g-mem) and the other with GTX
745 (4GB g-mem).
For both of them, I am using Keras 2.0.8 and Theano 0.9.0. I copy the
theano and keras configuration files to both computers so that they have
the same setting. The only difference is GTX 1070 works with cuDNN 5105,
while GTX 745 works with cuDNN 5110.
I also use the same python codes for both computers (copy the program to
both computers). However, I have a problem about GTX 1070, showing that it
is 'GPU out of memory' during initialization, while the GTX 745 is totally
fine.
I am using Ubuntu 14.04.
This is very weird since GTX 1070 has more memory than GTX 745. Is there
any setting I can check to find out what the problem is?
How can I fix this problem?
Thank you very much!
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