tf.contrib.distribute.CrossDeviceOps

Class CrossDeviceOps

Defined in tensorflow/python/distribute/cross_device_ops.py.

Base class for cross-device reduction and broadcasting algorithms.

__init__

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

batch_reduce

batch_reduce(
    reduce_op,
    value_destination_pairs
)

Reduce PerReplica objects in a batch.

Reduce each first element in value_destination_pairs to each second element which indicates the destinations.

Args:

  • reduce_op: Indicates how per_replica_value will be reduced. Accepted values are tf.distribute.ReduceOp.SUM, tf.distribute.ReduceOp.MEAN.
  • value_destination_pairs: a list or a tuple of tuples of PerReplica objects (or tensors with device set if there is one device) and destinations.

Returns:

a list of Mirrored objects.

Raises:

  • ValueError: if value_destination_pairs is not a list or a tuple of tuples of PerReplica objects and destinations

broadcast

broadcast(
    tensor,
    destinations
)

Broadcast the tensor to destinations.

Args:

  • tensor: the tensor to broadcast.
  • destinations: the broadcast destinations.

Returns:

a Mirrored object.

reduce

reduce(
    reduce_op,
    per_replica_value,
    destinations
)

Reduce per_replica_value to destinations.

It runs the reduction operation defined by reduce_op and put the result on destinations.

Args:

Returns:

a Mirrored object.

Raises:

  • ValueError: if per_replica_value is not a PerReplica object.