Class RandomStrategy

Defined in tensorflow/contrib/training/python/training/

Returns a random PS task for op placement.

This may perform better than the default round-robin placement if you have a large number of variables. Depending on your architecture and number of parameter servers, round-robin can lead to situations where all of one type of variable is placed on a single PS task, which may lead to contention issues.

This strategy uses a hash function on the name of each op for deterministic placement.




Creates a new RandomStrategy.



Chooses a ps task index for the given Operation.