tf.distribute.InputOptions
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Run options for experimental_distribute_dataset(s_from_function)
.
tf.distribute.InputOptions(
experimental_prefetch_to_device=True
)
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_prefetch_to_device=False)))
Attributes |
experimental_prefetch_to_device
|
Boolean. Currently only applies to
TPUStrategy. Defaults to True. 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.
|
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Last updated 2020-10-01 UTC.
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