Run on multiple machines

[MahboobehJannesari]

I run basic_distributed_classifier.py on 3 machines, there are 2 workers and one ps, when I run code is waiting in worker, Could you please help me in this regards?
FYI, when i run on one worker and one ps, there is no problem.

I uses
python 3.6
ubuntu 18.04
tensorflow 2.2

[jalbertoroman]

Hi Mahboubeh, this example works with TF 1.3. In a few weeks we will be releasing an updated version for TF 2.2. For what application are you using the code? If we can help lets us know.

[MahboobehJannesari]

Hello, I use for research on healthcare dataset, I changed code and make it compatible for tensorflow2.2, but for multiple machines, it doesn't work, After running on more 2 workers, the code waiting on workers. I do appreciate if you can help me. Best regards Mahboubeh

…

On Sun, Jun 21, 2020, 21:07 Alberto ***@***.***> wrote: Hi Mahboubeh, this example works with TF 1.3. In a few weeks we will be releasing an updated version for TF 2.2. For what application are you using the code? If we can help lets us know. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#7 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGHNYW2GJFYKT3V5LBUDOCTRXZK5LANCNFSM4OD7D5GA> .

[jalbertoroman]

Or code base has change a lot and the approach to FL. Or new version will be out in a few weeks, I'll will keep you posted.

Thanks,
Alberto.