nki.collectives.all_reduce#
- nki.collectives.all_reduce(srcs, dsts, replica_group, op)[source]#
Perform an all-reduce on the given replica group and input/output tensors.
The
srcsanddstsparameters accept lists of tensors to support coalesced collective communication, which allows multiple tensors to be reduced in a single collective operation for improved efficiency.Tensors can reside on either HBM or SBUF. However, mixing memory spaces is not supported: all tensors must be on HBM or all must be on SBUF. Coalesced collective communication (multiple tensors) is only supported when tensors are on HBM.
- Parameters:
srcs – List of input tensors to reduce
dsts – List of output tensors to store results
replica_group – ReplicaGroup defining rank groups for the collective
op – The reduction operation to perform (
nl.add,nl.minimum, ornl.maximum)