A CrossDeviceOps implementation that copies values to one device to reduce.

Inherits From: CrossDeviceOps

This implementation always copies values to one device to reduce them, then broadcast reduced values to the destinations. It doesn't support efficient batching.

Here is how you can use ReductionToOneDevice in tf.distribute.MirroredStrategy:

  strategy = tf.distribute.MirroredStrategy(

reduce_to_device the intermediate device to reduce to. If None, reduce to the first device in destinations of the reduce method.
accumulation_fn a function that does accumulation. If None, tf.math.add_n is used.



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Reduce values to destinations in batches.

See tf.distribute.StrategyExtended.batch_reduce_to. This can only be called in the cross-replica context.

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.

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

ValueError if value_destination_pairs is not an iterable of tuples of tf.distribute.DistributedValues and destinations.


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Broadcast tensor to destinations.

This can only be called in the cross-replica context.

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.

A tf.Tensor or tf.distribute.DistributedValues.


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Reduce per_replica_value to