tf.distribute.InputReplicationMode | TensorFlow v2.16.1 (original) (raw)
tf.distribute.InputReplicationMode
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Replication mode for input function.
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SeeMigration guide for more details.
tf.compat.v1.distribute.InputReplicationMode
PER_WORKER: The input function will be called on each worker independently, creating as many input pipelines as number of workers. Replicas will dequeue from the local Dataset on their worker.tf.distribute.Strategy doesn't manage any state sharing between such separate input pipelines.PER_REPLICA: The input function will be called on each replica separately.tf.distribute.Strategy doesn't manage any state sharing between such separate input pipelines.
| Class Variables | |
|---|---|
| PER_REPLICA | <InputReplicationMode.PER_REPLICA: 'PER_REPLICA'> |
| PER_WORKER | <InputReplicationMode.PER_WORKER: 'PER_WORKER'> |
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Last updated 2024-04-26 UTC.