Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tensorflow Session Connects to Multiple Targets #13590

Closed
RuofanKong opened this issue Oct 9, 2017 · 3 comments
Closed

Tensorflow Session Connects to Multiple Targets #13590

RuofanKong opened this issue Oct 9, 2017 · 3 comments

Comments

@RuofanKong
Copy link

RuofanKong commented Oct 9, 2017

I posted a question on SO, where I wonder if a Tensorflow Session could connect to two (or more than two) targets at the same time. It looks the feature is not supported yet. Can we make a feature request on it?

@yaroslavvb
Copy link
Contributor

What's the semantics of supporting multiple masters for tf.Session? Which master would execute sess.run?

@RuofanKong
Copy link
Author

@yaroslavvb The point is to support one session to connect multiple server targets (or masters), and the goal is to make some of tensor computations run on one server, and others run on different servers. sess.run may specify which master (or target) to connect to. I wonder if it is possible.

@yaroslavvb
Copy link
Contributor

I think it's a little vague for a feature request. Lets move it to SO

akshaym pushed a commit that referenced this issue Jun 12, 2018
Fixes #13590

PiperOrigin-RevId: 200246854
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants