On this page
tf.distribute.InputReplicationMode
Replication mode for input function.
- 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.Strategydoesn't manage any state sharing between such separate input pipelines.
- PER_REPLICA: The input function will be called on each replica seperately.- tf.distribute.Strategydoesn't manage any state sharing between such separate input pipelines.
| Class Variables | |
|---|---|
| PER_REPLICA | tf.distribute.InputReplicationMode | 
| PER_WORKER | tf.distribute.InputReplicationMode | 
© 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/r2.4/api_docs/python/tf/distribute/InputReplicationMode