def devices(self):
distribute_lib.require_replica_context(self)
ds = self._strategy
replica_id = tensor_util.constant_value(self._replica_id_in_sync_group)
if replica_id is None: # Non-constant `Tensor` inside `tpu.replicate`.
# TODO(cjfj): Return other devices when model parallelism is supported.
return (tpu.core(0),)
else:
return (ds.extended.worker_devices[replica_id],)
def devices(self):
distribute_lib.require_replica_context(self)
replica_id = tensor_util.constant_value(self._replica_id_in_sync_group)
return [self._strategy.extended.worker_devices_by_replica[replica_id]]
def devices(self): distribute_lib.require_replica_context(self) ds = self._distribution_strategy replica_id = tensor_util.constant_value(self._replica_id_in_sync_group) return (ds.extended.worker_devices[replica_id],)
def devices(self):
distribute_lib.require_replica_context(self)
return [
self._strategy.extended.worker_devices_by_replica[
self._replica_id_in_sync_group]
]
def devices(self): distribute_lib.require_replica_context(self) replica_id = tensor_util.constant_value(self._replica_id_in_sync_group) return [self._distribution_strategy.extended.worker_devices[replica_id]]
