An Op to sum inputs across replicated TPU instances.
tf.raw_ops.CrossReplicaSum(
input, group_assignment, name=None
)
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].
Args | |
|---|---|
input
|
A Tensor. Must be one of the following types: bfloat16, float32, int32, uint32.
The local input to the sum.
|
group_assignment
|
A Tensor of type int32. An int32 tensor with shape
[num_groups, num_replicas_per_group]. group_assignment[i] represents the
replica ids in the ith subgroup.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as input.
|