Run options for experimental_distribute_dataset(s_from_function)
.
tf.distribute.InputOptions(
experimental_fetch_to_device=None,
experimental_replication_mode=tf.distribute.InputReplicationMode.PER_WORKER
,
experimental_place_dataset_on_device=False,
experimental_per_replica_buffer_size=1
)
Used in the notebooks
Used in the guide |
Used in the tutorials |
|
|
This can be used to hold some strategy specific configs.
# Setup TPUStrategy
resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='')
tf.config.experimental_connect_to_cluster(resolver)
tf.tpu.experimental.initialize_tpu_system(resolver)
strategy = tf.distribute.TPUStrategy(resolver)
dataset = tf.data.Dataset.range(16)
distributed_dataset_on_host = (
strategy.experimental_distribute_dataset(
dataset,
tf.distribute.InputOptions(
experimental_replication_mode=
experimental_replication_mode.PER_WORKER,
experimental_place_dataset_on_device=False,
experimental_per_replica_buffer_size=1)))
Attributes |
experimental_fetch_to_device
|
Boolean. If True, dataset
elements will be prefetched to accelerator device memory. When False,
dataset elements are prefetched to host device memory. Must be False when
using TPUEmbedding API. experimental_fetch_to_device can only be used
with experimental_replication_mode=PER_WORKER. Default behavior is same as
setting it to True.
|
experimental_replication_mode
|
Replication mode for the input function.
Currently, the InputReplicationMode.PER_REPLICA is only supported with
tf.distribute.MirroredStrategy.
experimental_distribute_datasets_from_function.
The default value is InputReplicationMode.PER_WORKER.
|
experimental_place_dataset_on_device
|
Boolean. Default to False. When True,
dataset will be placed on the device, otherwise it will remain on the
host. experimental_place_dataset_on_device=True can only be used with
experimental_replication_mode=PER_REPLICA
|
experimental_per_replica_buffer_size
|
Integer. Default to 1. Indicates the
prefetch buffer size in the replica device memory. Users can set it
to 0 to completely disable prefetching behavior, or a number greater than
1 to enable larger buffer size. Note that this option is still
valid with experimental_fetch_to_device=False .
|