tf.distribute.CrossDeviceOps     View source on GitHub    Base class for cross-device reduction and broadcasting algorithms.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.distribute.CrossDeviceOps  
tf.distribute.CrossDeviceOps()
 The main purpose of this class is to be passed to tf.distribute.MirroredStrategy in order to choose among different cross device communication implementations. Prefer using the methods of tf.distribute.Strategy instead of the ones of this class. Implementations:  tf.distribute.ReductionToOneDevice tf.distribute.NcclAllReduce tf.distribute.HierarchicalCopyAllReduce  Methods batch_reduce View source 
batch_reduce(
    reduce_op, value_destination_pairs, options=None
)
 Reduce values to destinations in batches. See tf.distribute.StrategyExtended.batch_reduce_to. This can only be called in the cross-replica context.
 


 Args
  reduce_op   a tf.distribute.ReduceOp specifying how values should be combined.  
  value_destination_pairs   a sequence of (value, destinations) pairs. See tf.distribute.CrossDeviceOps.reduce for descriptions.  
  options   a tf.distribute.experimental.CommunicationOptions. See tf.distribute.experimental.CommunicationOptions for details.   
 


 Returns   A list of tf.Tensor or tf.distribute.DistributedValues, one per pair in value_destination_pairs.  

 


 Raises
  ValueError   if value_destination_pairs is not an iterable of tuples of tf.distribute.DistributedValues and destinations.    batch_reduce_implementation View source 
batch_reduce_implementation(
    reduce_op, value_destination_pairs, options
)
 Implementation of batch_reduce. Overriding this method is useful for subclass implementers.
 


 Args
  reduce_op   a tf.distribute.ReduceOp specifying how values should be combined.  
  value_destination_pairs   a sequence of (value, destinations) pairs. See reduce for descriptions.  
  options   a tf.distribute.experimental.CommunicationOptions. See tf.distribute.experimental.CommunicationOptions for details.   
 


 Returns   A list of tf.Tensor or tf.distribute.DistributedValues, one per pair in value_destination_pairs.  

 


 Raises
  ValueError   if value_destination_pairs is not an iterable of tuples of tf.distribute.DistributedValues and destinations.    broadcast View source 
broadcast(
    tensor, destinations
)
 Broadcast tensor to destinations. This can only be called in the cross-replica context.
 


 Args
  tensor   a tf.Tensor like object. The value to broadcast.  
  destinations   a tf.distribute.DistributedValues, a tf.Variable, a tf.Tensor alike object, or a device string. It specifies the devices to broadcast to. Note that if it's a tf.Variable, the value is broadcasted to the devices of that variable, this method doesn't update the variable.   
 


 Returns   A tf.Tensor or tf.distribute.DistributedValues.  
 broadcast_implementation View source 
broadcast_implementation(
    tensor, destinations
)
 Implementation of broadcast.
 


 Args
  tensor   a tf.Tensor like object. The value to broadcast.  
  destinations   a tf.distribute.DistributedValues, a tf.Variable, a tf.Tensor alike object, or a device string. It specifies the devices to broadcast to. destinations. Note that if it's a tf.Variable, the value is broadcasted to the devices of that variable, this method doesn't update the variable.   
 


 Returns   A tf.Tensor or tf.distribute.DistributedValues.  
 reduce View source 
reduce(
    reduce_op, per_replica_value, destinations, options=None
)
 Reduce per_replica_value to destinations. See tf.distribute.StrategyExtended.reduce_to. This can only be called in the cross-replica context.
 


 Args
  reduce_op   a tf.distribute.ReduceOp specifying how values should be combined.  
  per_replica_value   a tf.distribute.DistributedValues, or a tf.Tensor like object.  
  destinations   a tf.distribute.DistributedValues, a tf.Variable, a tf.Tensor alike object, or a device string. It specifies the devices to reduce to. To perform an all-reduce, pass the same to value and destinations. Note that if it's a tf.Variable, the value is reduced to the devices of that variable, and this method doesn't update the variable.  
  options   a tf.distribute.experimental.CommunicationOptions. See tf.distribute.experimental.CommunicationOptions for details.   
 


 Returns   A tf.Tensor or tf.distribute.DistributedValues.  

 


 Raises
  ValueError   if per_replica_value can't be converted to a tf.distribute.DistributedValues or if destinations is not a string, tf.Variable or tf.distribute.DistributedValues.    reduce_implementation View source 
reduce_implementation(
    reduce_op, per_replica_value, destinations, options
)
 Implementation of reduce. Overriding this method is useful for subclass implementers.
 


 Args
  reduce_op   a tf.distribute.ReduceOp specifying how values should be combined.  
  per_replica_value   a tf.distribute.DistributedValues, or a tf.Tensor like object.  
  destinations   a tf.distribute.DistributedValues, a tf.Variable, a tf.Tensor alike object, or a device string. It specifies the devices to reduce to. To perform an all-reduce, pass the same to value and destinations. Note that if it's a tf.Variable, the value is reduced to the devices of that variable, this method doesn't update the variable.  
  options   a tf.distribute.experimental.CommunicationOptions. See tf.distribute.experimental.CommunicationOptions for details.   
 


 Returns   A tf.Tensor or tf.distribute.DistributedValues.  

 


 Raises
  ValueError   if per_replica_value can't be converted to a tf.distribute.DistributedValues or if destinations is not a string, tf.Variable or tf.distribute.DistributedValues.