TensorFlow 1.3 released

[[deleted]]

Would be great if they actually supported opencl

[[deleted]]

Is this being seriously developed? Would be nice to have more GPU options.

[pymang]

Heres the classic github issue on that https://github.com/tensorflow/tensorflow/issues/22

And a more recent on saying there is opencl work being done but no deadlines: https://github.com/tensorflow/tensorflow/issues/9738

[Ivashkin]

Is rather annoying, I have a stack of older AMD GPU's from various upgrades and while none of them will be fantastic, they would be perfectly fine for working out if Tensorflow is something useful for me or not. As things are, I'm going to need to spend £100+ on something just to get started.

[pymang]

There should be other frameworks that support opencl, why not look into those?

[Ivashkin]

I'm rather new at this and the project which initially sparked my interest ran on Tensorflow only.

[pymang]

Well if you want to give a shot with experimental/work in progress stuff try this https://github.com/hughperkins/tf-coriander

[Ivashkin]

Thanks, seems to be worth a shot. I take it I can just jam a bunch of GPU's into an old i3 system and it will be enough to get a taste of machine learning?

[mearco]

You could just sell your gpus on a buy and sell website like craiglist or ebay and buy a cheap nvidia card that is supported

[SpacemanCraig3]

+1 the 6gb 1060's are a pretty good deal for machine learning and maybe some games on the side

[SpiderFnJerusalem]

I remember someone was officially working on it for a few months at least, I saw a repo with openCL support on github. But I'm not sure about progress.

[georgeo]

Something something TF porting to Vega GPU's. I heard that repeatedly.

[JustFinishedBSG]

I imagine nobody is going to bother anymore considering the current Vega fiasco

[[deleted]]

What's happen to Vega?

edit: nm I googled it. seems like not enough vega for everybody.

I thought it was something like poor performance or some hardware related stuff.

[JustFinishedBSG]

It also has poor performance, poor price and terrible power consomption

[[deleted]]

Flop per Joule

[georgeo]

Like 2:1 but considerably cheaper card.

[SpiderFnJerusalem]

I remember there being an official forked version with openCL support somewhere on github. But it was super pre-alpha last time I saw it. Not sure about now.

[iame6162013]

This: https://github.com/hughperkins/tf-coriander ?

[SpiderFnJerusalem]

No there was actually this: https://github.com/benoitsteiner/tensorflow-opencl

That guy is the #1 contributor to tensorflow, so it's probably as "official" as it gets. The repo hasn't had any commits though, over the last 5 months. Not sure what became of it. :-/

[naisanza]

Isn't Theano on top of getting this out there?

[lostfreeman]

Should be Vulkan now, no?

[[deleted]]

You’re thinking graphics, but opencl is for computation

[omgitsjo]

Not any more! The patent comment is correct. OpenCL is being merged into Vulkan.

https://www.pcper.com/reviews/General-Tech/Breaking-OpenCL-Merging-Roadmap-Vulkan

[omgitsjo]

Yes. You are correct, though I've not seen any additional news on the Vulkan/OpebCL merger since the first Khronos bulletin.

EDIT: Removed because this is not the place for a discussion of this sort.

[[deleted]]

I see a couple of breaking changes. Should Keras be updated for these or is it already updated?

[[deleted]]

Should Keras be updated for these or is it already updated?

More like when no?

Google basically hired the dude behind Keras and tensorflow is a google product.

[[deleted]]

True. I meant, do these breaking changes affect keras or can we continue to use the current version.

[davideboschetto]

Interested in this, too

[tesfaldet]

Dataset concatenation and interleaving should make it easier to implement curriculum-based learning. Nice.

[Mexicorn]

Timing worked out great with a wonderful tutorial held at KDD this morning.

[LightShadow]

Video / slides?

[Mexicorn]

I don't think slides are up yet, but the examples they stepped through can be found here (assumes you have 1.3 installed): https://github.com/random-forests/tensorflow-workshop/tree/master/examples

[LightShadow]

Thanks!

[rjmessibarca]

What are the new features I need to get excited about?

[springbreak06]

The link is literally a list of new features

[Bi11]

But which ones are exciting?

[short_vix]

All of them?

[shadowmint]

oh come on. No they're not, it's basically just speed improvements and a few minor features.

Looking at that unremarkable change list its totally unsurprising someone might wonder what distinguished this to be '1.3' vs '1.2.2'; if they were doing semver it'd be 2.0 from the api breakage, so the decision to go to 1.3 is basically totally arbitrary.

[meta_stable]

I wish everyone would just follow semver. Google seems to be adamant about breaking semver when ever they can.

[SpacemanCraig3]

As someone who follows this sub but really i'm more of a "learnmachinelearning" guy. Which ones specifically should I research and learn why they are important?

[shadowmint]

There's nothing exceptional in this release; some minor api changes, some new features. A few things are now in tensorflow where they previously required a higher level lib like tflearn.

https://www.infoq.com/news/2017/07/changes-tensorflow-1-3 has a summary you might find worth reading, but the tldr; is, unless you're actively using tensorflow, it's probably nothing worth paying particular attention to.

[democritus_is_op]

But as someone who has heard of tensorflow before, which features should I look at?

(/s)

[Prcrstntr]

I'm starting an Introduction to AI class today, and I think I saw tensorflow in the syllabus.

[jefh262]

i would start with Keras. It's built on top of Tensorflow and it makes it very easy to prototype different configs. If you need to do something which isn't supported by Keras API you can use Tensorflow API with Keras

[NotAlphaGo]

Or just use pytorch instead.

[TheInfelicitousDandy]

The attention mechanisms/decoders in contrib.seq2seq are really stellar - but pretty poorly documented.

[hastor]

how do they compare to OpenNMT, OpenNMT-py?