Add Document about the Graph Optimization in TensorFlow

[nuka137]

This pull request adds the document about the graph optimization performing internally in TensorFlow.
This document shows what optimizations are performed in TensorFlow, and how to enable/disable these optimizations from Python API.
I think most of TensorFlow beginners does not interests, but this document helps the advanced user who wants to control the graph optimizations manually.

This pull request is related to #511 .
#511 targets to TensorFlow 1.x, so I rewrote whole documents for TensorFlow 2.0.

[tfdocsbot]

Preview and run these notebook edits with Google Colab:

• site/en/guide/graph_optimization.ipynb

Notebook diffs available on ReviewNB.com.

[nuka137]

@lamberta

I rewrote the document in #511 which is rejected due to the transition phase of the TensorFlow 1.x -> 2.x.
Is this document still acceptable in TensorFlow 2.0?

This pull request adds the new .ipynb file because there is no related documents about the graph optimization in the current documents.
Should I merge this document to another file?

[lamberta]

Thanks, @nuka137 !

Colab preview: https://colab.research.google.com/github/nuka137/docs/blob/graph_optimization/site/en/guide/graph_optimization.ipynb

The challenge will be finding reviewers (and it's a holiday week in the US). Looping in @mdanatg and @alextp to take a quick look. Either as a standalone user guide on tensorflow.org, or in an API reference section.

Also, for notebooks, make sure the format matches the TF notebook template.

[mdanatg]

Nice! I gave it a quick look and I think it would make a great guide, heping to demystify what happens under the hood. Happy to review the PR when ready. For location, I think Tutorials/Advanced/Customization is a good place - it seems closely related to "Performance with tf.function" that also sits in there. Cheers, Dan

…

On Mon, Nov 25, 2019 at 1:12 PM Billy Lamberta ***@***.***> wrote: Thanks, @nuka137 <https://github.com/nuka137> ! Colab preview: https://colab.research.google.com/github/nuka137/docs/blob/graph_optimization/site/en/guide/graph_optimization.ipynb The challenge will be finding reviewers (and it's a holiday week in the US). Looping in @mdanatg <https://github.com/mdanatg> and @alextp <https://github.com/alextp> to take a quick look. Either as a standalone user guide on tensorflow.org, or in an API reference section. Also, for notebooks, make sure the format matches the TF notebook template <https://github.com/tensorflow/docs/blob/master/tools/templates/notebook.ipynb> . — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#1206?email_source=notifications&email_token=AGLFDQ4EUGIRQAZHYEIPDWDQVQIQHA5CNFSM4JPMB7FKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEFDJVXA#issuecomment-558275292>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGLFDQ5QMN6U6R7V4KIX4YTQVQIQHANCNFSM4JPMB7FA> .

[nuka137]

@lamberta @mdanatg @alextp

Thanks for your instructions!
I fixed the graph_optimization.ipynb to match the TF notebook template, and move to site/en/tutorials/customization/graph_optimization.ipynb from site/en/guide/graph_optimization.ipynb.
So, new link for Colab is now located at site/en/tutorials/customization/graph_optimization.

Could you review it again?

[alextp]

This is not getting rendered right, I think

[nuka137]

Thanks. I fixed to use h3 for emphasizing.

[lamberta]

Thanks @nuka137 for the updates, and @alextp for the review.

@anirudh161 if you have some time, can you take an editorial pass through this community guide and get it ready to publish on tensorflow.org?

[lamberta]

Staging link: https://colab.research.google.com/github/nuka137/docs/blob/graph_optimization/site/en/guide/_graph_optimization.ipynb

Thanks, all. Bringing this PR in so @anirudh161 can work on it before publishing