Open cedrickchee opened 6 years ago
Sorry if I'm a noob, but you have to install CUDA 9.1 separately, right ? So far I've been using some docker images, like the official tensorflow ones, which have CUDA 9.0. Do you know of any images with 9.1 ?
Yes, you are right on the separate installation of CUDA 9.1. I don't use Docker for my use case. So, I am not so aware of Docker images with 9.1.
ok. Thank you!
And thank you for the wheel !
Hi, It appears that cudnn 7.1.3 is no longer available on the nVidia site for cuda 9.1. only thing available is 7.1.4 for 9.2. Can you update and provide new wheel or maybe link to cudnn 7.1.3...
Thanks
Link to cuDNN 7.1.3 for CUDA 9.1: http://developer.download.nvidia.com/compute/redist/cudnn/v7.1.3/cudnn-9.1-linux-x64-v7.1.tgz
newbie here: will this wheel work if I don't have cuda and want the wheel just for the cpu optimizations?
@precabal I think it will, as long as you don't use hard device assignments i.e. tf.device("/device:GPU:0")
. Try it and let us know 😃
thanks @cipri-tom, I installed it successfully but when trying to run an example I'm getting an error saying ImportError: libcublas.so.9.1: cannot open shared object file: No such file or directory
. This happens when running import tensorflow as tf
. After a naïve search in google it seems to me that it is a cuda related library that is not loading, so I'm stuck there... any help?
ah... so then I was wrong and you cannot use it without valid CUDA installed :( . Sorry. I thought TF only loads CUDA when needed
no problem. it was worth trying it out. thanks for your reply!
Hi everyone,
I am aware that many of us are eagerly waiting for TensorFlow's team to release binaries that support CUDA 9.1. I have built a TensorFlow 1.8.0 wheel with the following support:
Build specs:
Install using
pip
:More info is in my repo. Enjoy :slightly_smiling_face: