Type RandomStrategy
Namespace tensorflow.contrib.training
Parent PythonObjectContainer
Interfaces IRandomStrategy
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.
Methods
Properties
Public instance methods
int __call__(ValueTuple<string> op)
Chooses a ps task index for the given `Operation`.