Appreciate that input not going there yet. I have the 378.13 running with 6020 but my time with lesson1 single epoch (the 7th cell input, just after “The punchline: state of the art custom model in 7 lines of code”) was 366 secs.
As with the 375.39 driver the 378.13 is not recognising the name of the GPU. It was good with the 375.51. Not sure if thats an issue.
Here is the output of cell 4 in lesson 1
/home/dl/anaconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py:135: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to version 5.1.
warnings.warn("Your cuDNN version is more recent than "
Using cuDNN version 6020 on context None
Mapped name None to device cuda0: Graphics Device (0000:03:00.0)
Using Theano backend.
Is that as expected.
My issue maybe with the slot position of card. Many other have built systems based on the motherboard and whether which lanes are available for which slot. Unfortunately being HP hardware I don’t have knowledge of whats best support for 1081 ti.
Or maybe some parameter or option needs to be set in it’s configuration.
Any way here is my take on the solution to getting the 6020 recognised.
In ~/.bashrc I had exported the CPLUS_INCLUDE_PATH, LIBRARY_PATH and LD_LIBRARY_PATH with cuda-8.0 but had neglected to add /usr/local/lib and /usr/local/include/gpuarray where gpuarray was installed when I did this the result is as above.