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tf.distribute.CrossDeviceOps

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Base class for cross-device reduction and broadcasting algorithms.

tf.distribute.CrossDeviceOps()

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.

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

batch_reduce_implementation

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batch_reduce_implementation(
    reduce_op, value_destination_pairs
)

Implementation of 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

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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.

broadcast_implementation

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broadcast_implementation(
    tensor, destinations
)

Implementation of 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 Indicates how per_replica_value will be reduced. Accepted values are tf.distribute.ReduceOp.SUM, tf.distribute.ReduceOp.MEAN.
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.

reduce_implementation

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reduce_implementation(
    reduce_op, per_replica_value, destinations
)

The implementation of reduce of per_replica_value to destinations.

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

Args
reduce_op Indicates how per_replica_value will be reduced. Accepted values are tf.distribute.ReduceOp.SUM, tf.distribute.ReduceOp.MEAN.
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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/distribute/CrossDeviceOps