Hey guys,
Currently working on a tensorflow python script which I plan to use on a server with multiple cores .
The problem is that if I try to run the script in separate ssh sessions it will always default to the same core, and I need it to run in a different core each time so I can take advantage of all of the cores available .
Using tensorflow 2.2 so tf session is no longer available .
Can anyone please tell me how to achieve this ?
Thanks
submitted by /u/Triptonpt
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