tf.raw_ops.TPUReplicateMetadata

Metadata indicating how the TPU computation should be replicated.

tf.raw_ops.TPUReplicateMetadata(
    num_replicas, num_cores_per_replica=1, topology='', use_tpu=True,
    device_assignment=[], computation_shape=[], host_compute_core=[],
    padding_map=[], step_marker_location='STEP_MARK_AT_ENTRY',
    allow_soft_placement=False, use_spmd_for_xla_partitioning=False, name=None
)

This operation holds the metadata common to operations of a tpu.replicate() computation subgraph.

num_replicas An int that is >= 0. Number of replicas of the computation
num_cores_per_replica An optional int. Defaults to 1. Number of cores per replica. Used for model parallelism.
topology An optional string. Defaults to "". TopologyProto indicating the topology of the TPU pod slice.
use_tpu An optional bool. Defaults to True. Whether to place the computation on the TPU.
device_assignment An optional list of ints. Defaults to []. The assignment of devices for the computation.
computation_shape An optional list of ints. Defaults to []. DEPRECATED. Use num_cores_per_replica instead.
host_compute_core An optional list of strings. Defaults to [].
padding_map An optional list of strings. Defaults to [].
step_marker_location An optional string. Defaults to "STEP_MARK_AT_ENTRY".
allow_soft_placement An optional bool. Defaults to False.
use_spmd_for_xla_partitioning An optional bool. Defaults to False.
name A name for the operation (optional).

The created Operation.