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CardenB
What is eager execution?
euphoria
https://github.com/tensorflow/tensorflow/tree/r1.5/tensorflo...

> Eager execution is an experimental interface to TensorFlow that provides an imperative programming style (à la NumPy). When you enable eager execution, TensorFlow operations execute immediately; you do not execute a pre-constructed graph with Session.run().

Waterluvian
This sounds like it would make mucking about with TensorFlow in the REPL far easier.
atupis
And debuging. Usually with tensorflow project I found my self at debuging hell where I really dont have any clue where the buggy line is.
CardenB
This is great! No more constant `eval` spam :)
[deleted]
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IronWolve
Good to see it, been running tf-nightly, cuda 9.1 nvidia gpu drivers with cuda 8. The entire dependency issues between drivers/apps/libraries have been incredibly annoying.
Svenstaro
Some Linux distro package modern versions of tensorflow, cuda, cudnn and nvidia which all work in tandem which makes this a whole lot less annoying to deal with.
NelsonMinar
Good news for me: "Starting from 1.6 release, our prebuilt binaries will use AVX instructions. This may break TF on older CPUs."

I just this morning gave up trying to compile Tensorflow from sources with AVX. I'm sure I could do it given the time but after 5 minutes it was clearly a more complicated project. Shame it may break older CPUs though, I wonder what the challenge is in releasing two versions?

danieljh
Here is how I build architecture optimized TensorFlow 1.4 binaries for specific AWS instance types:

https://gist.github.com/daniel-j-h/b410dd21d4949a54c83d0c386...

The build script needs slight adaptions between major TensorFlow releases; otherwise works great for me so far.

During boot time you can then figure out the instance architecture you are and fetch the appropriate wheel. Hope it helps.