tf.distribute.ReductionToOneDevice

TensorFlow 1 version View source on GitHub

Class ReductionToOneDevice

Always do reduction to one device first and then do broadcasting.

Inherits From: CrossDeviceOps

Batch reduction is done by reduction on each element one by one.

  mirrored_strategy = tf.distribute.MirroredStrategy(
    cross_device_ops=tf.distribute.ReductionToOneDevice())

__init__

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__init__(
    reduce_to_device=None,
    accumulation_fn=None
)

Initializes with a device to reduce to and a way to accumulate.

Args:

  • 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, then tf.math.add_n is used.

Methods

batch_reduce

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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.

This can be faster than multiple individual reduces because we can fuse several tensors into one or multiple packs before reduction.

Args:

  • reduce_op: An instance of tf.distribute.ReduceOp that indicates how the per_replica_value will be reduced.
  • value_destination_pairs: a list or a tuple 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 an iterable of tuples of PerReplica objects and destinations.

broadcast

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broadcast(
    tensor,
    destinations
)

Broadcast the tensor to destinations.

Args:

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

Returns:

a Mirrored object.

reduce

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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:

  • reduce_op: An instance of tf.distribute.ReduceOp that indicates how per_replica_value will be reduced.
  • per_replica_value: a PerReplica object or a tensor with device set.
  • destinations: the reduction destinations.

Returns:

a Mirrored object.

Raises:

  • ValueError: if per_replica_value can't be converted to a PerReplica object or if destinations aren't strings, Variables or DistributedValues

Compat aliases