TensorFlow 1.7.0 released(github.com)
github.com
TensorFlow 1.7.0 released
https://github.com/tensorflow/tensorflow/releases/tag/v1.7.0
7 comments
For people who had time to play with TF Eager, how does it stack up vs pytorch?
Currently compiling this for Arch. Should be in the repos soon. :)
It’s funny I was just downloading TF today and saw this. Compiled it for Ubuntu (took 40 minutes, too).
Glad to see it since I think that means I can use CUDA 9.1.
Glad to see it since I think that means I can use CUDA 9.1.
Is there some sort of compatibility chart for tensorflow versions relating to CUDA/cuDNN? "Use the latest install guide" doth butter no parsnips if you're working with an older version of tensorflow.
Does someone know what's the current state of TF on Windows?
I've used it for some image classification homework 1.5y ago and back then I had some issues but it kind of worked.
Does someone have more recent experiences in some hobby project or even in a production env? Or are there other NN frameworks when using Windows?
Does someone have more recent experiences in some hobby project or even in a production env? Or are there other NN frameworks when using Windows?
It's pretty easy to get running on Windows since 1.0 or whatnot, in my experience. I just ran `pip3 install --upgrade tensorflow-gpu` and do that on every release and it works just dandy. You get a binary wheel of course, so the install is quick and painless.
I did have to install a new cudnn 7 DLL recently after moving to 1.5 (or 1.6) with CUDA 9. That's about it.
I don't use all the fancier tools though (e.g. loading from GCS/S3 buckets etc, just local data for me). But everything seems to works just fine these days, it seems.
I did have to install a new cudnn 7 DLL recently after moving to 1.5 (or 1.6) with CUDA 9. That's about it.
I don't use all the fancier tools though (e.g. loading from GCS/S3 buckets etc, just local data for me). But everything seems to works just fine these days, it seems.
Yea I managed to get it working pretty quickly and I was a complete newbie.
Keras made it MUCH easier the second time around.
It works fine on Windows now.
Official announcement from Google:
https://developers.googleblog.com/2018/03/tensorrt-integrati...
Still with cuda9.0 and not cuda9.1
Anyone have a nice tl;dr?