Tensorflow 1.5.0 release canidate includes “eager execution”

#1

Post by supermdguy » Thu, Jan 04, 2018, 3:28 PM UTC

Tensorflow 1.5.0 release canidate includes “eager execution”
github.com

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#2

Post by CardenB » Thu, Jan 04, 2018, 5:38 PM UTC

What is eager execution?

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#3

Post by euphoria » Thu, Jan 04, 2018, 5:46 PM UTC

CardenB wrote: post #2

What is eager execution?

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().

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#4

Post by forgot-my-pw » Thu, Jan 04, 2018, 5:46 PM UTC

CardenB wrote: post #2

What is eager execution?

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().

https://github.com/tensorflow/tensorflow/tree/r1.5/tensorflo...

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#5

Post by [deleted] » Thu, Jan 04, 2018, 5:47 PM UTC

CardenB wrote: post #2

What is eager execution?

[deleted]

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#6

Post by asafira » Thu, Jan 04, 2018, 6:36 PM UTC

CardenB wrote: post #2

What is eager execution?

I definitely recommend reading the documentation for that info: https://github.com/tensorflow/tensorflow/tree/r1.5/tensorflo...

It's actually pretty clear (to anyone that has used TensorFlow)

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#7

Post by IronWolve » Thu, Jan 04, 2018, 6:43 PM UTC

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.

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#8

Post by Waterluvian » Thu, Jan 04, 2018, 6:44 PM UTC

euphoria wrote: post #3

CardenB wrote: post #2

What is eager execution?

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().

This sounds like it would make mucking about with TensorFlow in the REPL far easier.

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#9

Post by stablemap » Thu, Jan 04, 2018, 7:23 PM UTC

CardenB wrote: post #2

What is eager execution?

Here’s the announcement from October, with examples and links to more documentation. It feels like a response to PyTorch.

https://research.googleblog.com/2017/10/eager-execution-impe...

Re: Tensorflow 1.5.0 release canidate includes “eager execution”

#10

Post by atupis » Thu, Jan 04, 2018, 7:25 PM UTC

Waterluvian wrote: post #8

euphoria wrote: post #3

Earlier quoted context omitted.

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().

This sounds like it would make mucking about with TensorFlow in the REPL far easier.

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.