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Commit 01af4474 authored by Yang Chen's avatar Yang Chen Committed by A. Unique TensorFlower
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Internal change 

PiperOrigin-RevId: 474325161
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official/core/config_definitions.py
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...@@ -89,7 +89,7 @@ class DataConfig(base_config.Config): ...@@ -89,7 +89,7 @@ class DataConfig(base_config.Config):
tf.data pipeline. When using shared tf.data service, the tf.data dataset tf.data pipeline. When using shared tf.data service, the tf.data dataset
must be infinite, and slow trainer may skip certain training examples. must be infinite, and slow trainer may skip certain training examples.
More details about shared tf.data service can be found at: More details about shared tf.data service can be found at:
https://www.tensorflow.org/api_docs/python/tf/data/experimental/service?version=nightly#sharing_tfdata_service_with_concurrent_trainers. https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers.
apply_tf_data_service_before_batching: A bool. If set to True, tf.data apply_tf_data_service_before_batching: A bool. If set to True, tf.data
service will be applied before batching operation. This is useful to make service will be applied before batching operation. This is useful to make
sure only a single tf.data service instance is created when sure only a single tf.data service instance is created when
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