TPU Estimator manages its own TensorFlow graph and session, so it is not
compatible with TF2 behaviors. We recommend that you migrate to the newer
tf.distribute.TPUStrategy. See the
TPU guide for details.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[],null,["# tf.compat.v1.estimator.tpu.InputPipelineConfig\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/estimator/tree/master/tensorflow_estimator/python/estimator/tpu/tpu_config.py#L36-L51) |\n\nPlease see the definition of these values in TPUConfig. (deprecated) \n\n tf.compat.v1.estimator.tpu.InputPipelineConfig(\n *args, **kwargs\n )\n\n\u003cbr /\u003e\n\nMigrate to TF2\n--------------\n\n\u003cbr /\u003e\n\n| **Caution:** This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code.\n\nTPU Estimator manages its own TensorFlow graph and session, so it is not\ncompatible with TF2 behaviors. We recommend that you migrate to the newer\n[`tf.distribute.TPUStrategy`](../../../../../tf/distribute/TPUStrategy). See the\n[TPU guide](https://www.tensorflow.org/guide/tpu) for details.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nDescription\n-----------\n\n| **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.keras instead.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|--------------|-----|\n| BROADCAST | `4` |\n| PER_HOST_V1 | `2` |\n| PER_HOST_V2 | `3` |\n| PER_SHARD_V1 | `1` |\n| SLICED | `5` |\n\n\u003cbr /\u003e"]]