Can not learn with CUDA about n2d2 HOT 8 CLOSED

When i do nvidia-smi, i got this
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.116 Driver Version: 390.116 |
|-------------------------------+----------------------+----------------------+
| 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 TIT... Off | 00000000:03:00.0 On | N/A |
| 22% 51C P0 75W / 250W | 526MiB / 12211MiB | 1% Default |
+-------------------------------+----------------------+----------------------+

from n2d2.

Hello,
Do you have CuDNN properly installed? What is your CuDNN version?

from n2d2.

This is the result from cmake
sudo cmake -DCMAKE_C_COMPILER=gcc-6 -DCMAKE_CXX_COMPILER=g++-6 ..
-- cotire 1.8.0 loaded.
-- No PugiXML found
-- MongoDB not found.
-- CuDNN library status:
-- version: 7.4.1
-- include path: /usr/local/cuda/include
-- libraries: /usr/local/cuda/lib64/libcudnn.so
-- Configuring done
-- Generating done

from n2d2.

It looks like your driver version is not compatible with your CuDNN version, according to the CuDNN support matrix: https://docs.nvidia.com/deeplearning/sdk/cudnn-support-matrix/index.html

from n2d2.

Thank you, now I'm having cudnn 7.4.1, CUDA 9.2, driver 390.116. Should I downgrade the driver to 384.11 or downgrade the CUDA to 9.0? It looks like my driver is not in this table.

from n2d2.

According to the table, you should upgrade your driver to r396.26. I recommend to upgrade it if you can, instead of downgrading other things.

from n2d2.

The learning in Frame only should work we the latest version of N2D2. There was a bug that has been corrected since.

from n2d2.

Closing the issue, as this is a driver problem. Please feel free to re-open it if necessary.

from n2d2.