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]`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
|
final Class<?> |
getClass()
|
int |
hashCode()
|
final void |
notify()
|
final void |
notifyAll()
|
String |
toString()
|
final void |
wait(long arg0, int arg1)
|
final void |
wait(long arg0)
|
final void |
wait()
|
abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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<TInt32> 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