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TensorFlow 1 version
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View source on GitHub
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A CrossDeviceOps implementation that copies values to one device to reduce.
Inherits From: CrossDeviceOps
tf.distribute.ReductionToOneDevice(
reduce_to_device=None, accumulation_fn=None
)
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(
cross_device_ops=tf.distribute.ReductionToOneDevice())
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,
tf.math.add_n is used.
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Methods
batch_reduce
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.
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broadcast
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.
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| Returns | |
|---|---|
A tf.Tensor or tf.distribute.DistributedValues.
|
reduce
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.
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| Returns | |
|---|---|
A tf.Tensor or tf.distribute.DistributedValues.
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| 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.
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