My tensorflow only prints out the line:
I tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA library libcublas.so.10.0 locally
when running.
Tensorflow logs on the net has lots of other libraries being loaded like libcudnn.
As I think my installation performance is not optimal, I am trying to find out if it is because of this. Any help will be appreciated!
my tf is 1.13.1 NVIDIA Driver Version: 418.67 CUDA Version: 10.1 (I have also 10.0 installed. can this be the problem?)
According to TensorFlow
documentation , cuDNN
is a requirement for tensorflow-gpu
. If you don't have cuDNN
installed, you wouldn't be able to install tensorflow-gpu
since the dependency library would be missing.
So, if you have successfully installed tensorflow-gpu
and are able to use it, eg
import tensorflow as tf
tf.Session()
you are fine.
EDIT
I just checker here and tensorflow_gpu-1.13.1
officially only supports CUDA 10.0
. I would recommend to use it instead of CUDA 10.1
.
Further, NVIDIA
recommends using driver version 410.48
with CUDA 10.0
. I would stick with it as well.
Actually i always rely on a stable setup. And i tried most of the tf - cuda - cudnn versions. But most stable was tf 1.9.0 , CUDA 9.0, Cudnn 7 for me. Used it for too long without a problem. You should give it a try if it suits you.
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