Live data from Hacker News

Tensorflow 0.6.0 Release

github.com

1–10 of 38 posts

Re: Tensorflow 0.6.0 Release

#2
FYI, we're building the pip packages today -- we'll send out an announcement to the TensorFlow discussion list and update the website when things are actually done. :)

Re: Tensorflow 0.6.0 Release

#3
Excellent news. Hopefully with this release we will be able to lift the remaining limitations of the TensorFlow version of Keras (tensor contraction, floatbool casting, and RNNs over sequences with arbitrary length). https://github.com/fchollet/keras/wiki/Keras,-now-running-on...

Congrats to the TensorFlow team!

Re: Tensorflow 0.6.0 Release

#4
Cool. I'm still looking forward to when I can run TensorFlow on a Windows machine and harness my GPU.

Right now I can only run TensorFlow in a Docker container in a VirtualBox Linux virtual machine running in Windows... so I guess there's that!

Re: Tensorflow 0.6.0 Release

#6
Does this version support the latest CUDA/CUDNN? I spent hours with the initial release trying to get GPU acceleration working before giving up in frustration (and being a seasoned Arch linux user, I'm not easily discouraged) - I can't remember what ultimately caused me to throw my hands up in defeat but it had to do with the old CUDA version requirement.

Re: Tensorflow 0.6.0 Release

#7
post #3

Excellent news. Hopefully with this release we will be able to lift the remaining limitations of the TensorFlow version of Keras (tensor contraction, float bool casting, and RNNs over sequences with arbitrary length). https://github.com/fchollet/keras/wiki/Keras,-now-running-on... Congrats to the TensorFlow team!

Thank you for your work on putting Keras on top!

To answer your questions:

- We don't (yet) have a tensor contraction op -- just a matter of getting some dev time to call the existing Eigen contraction code in an op. Hopefully in the next release!

- More casting between types I think is in this release.

- dynamic RNNs is not yet in this one, but also in our sights.

And with all of that, we still need to work on better performance, memory efficiency. Still lots to do!

Re: Tensorflow 0.6.0 Release

#9

Does this version support the latest CUDA/CUDNN? I spent hours with the initial release trying to get GPU acceleration working before giving up in frustration (and being a seasoned Arch linux user, I'm not easily discouraged) - I can't remember what ultimately caused me to throw my hands up in defeat but it had to do with the old CUDA version requirement.

I've read some people have been able to do hacks to get it to work, but I agree we need to make it easier. The full configurability for other cudnn versions didn't make 0.6.0 but might be in a patch update sometime soon. It's part of our work on improving GPU performance in general.

Re: Tensorflow 0.6.0 Release

#10
The link to convnet benchmarks is a 30 day old issue, with numbers that look significantly worse than native CUDNNv2. Are there more up-to-date numbers?

I'm really looking forward to updated CUDNN and CUDA 7.5 support. My machines are all configured for Theano, and I've been sorta waiting to try TensorFlow until I can install it without downgrading everything, as it was tricky to get things working and I'd rather not reconfigure things I don't have to.

Post reply on HN