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CrossReplicaSum

public final class CrossReplicaSum

An Op to sum inputs across replicated TPU instances.

Each instance supplies its own input.

For example, suppose there are 8 TPU instances: `[A, B, C, D, E, F, G, H]`. Passing group_assignment=`[[0,2,4,6],[1,3,5,7]]` sets `A, C, E, G` as group 0, and `B, D, F, H` as group 1. Thus we get the outputs: `[A+C+E+G, B+D+F+H, A+C+E+G, B+D+F+H, A+C+E+G, B+D+F+H, A+C+E+G, B+D+F+H]`.

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T extends Number> CrossReplicaSum<T>
create(Scope scope, Operand<T> input, Operand<Integer> groupAssignment)
Factory method to create a class wrapping a new CrossReplicaSum operation.
Output<T>
output()
The sum of all the distributed inputs.

Inherited Methods

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static CrossReplicaSum<T> create (Scope scope, Operand<T> input, Operand<Integer> groupAssignment)

Factory method to create a class wrapping a new CrossReplicaSum operation.

Parameters
scope current scope
input The local input to the sum.
groupAssignment An int32 tensor with shape [num_groups, num_replicas_per_group]. `group_assignment[i]` represents the replica ids in the ith subgroup.
Returns
  • a new instance of CrossReplicaSum

public Output<T> output ()

The sum of all the distributed inputs.